Year,Authors,Author(s) ID,Discipline(s),Interdisciplinary Team,Title,Source Title,Volume,Issue,Art. No.,Page Start,Page End,Page Count,Source,DOI,Link,Abstract,Author Keywords,Document Type,EID,Subject Area,System type,Case Study,Application Category,Application Details,Innovation,Organizational Level,Biology Mimicked,Design Approach,Type of Abstraction,Research Stage,Method Type,Biomimetic Process Rank,Engineering Process Rank,
2022,"Chatterjee, A; Malak, R; Layton, A",N/A,Mechanical Engineering,No,Ecology-inspired resilient and affordable system of systems using degree of system order,SYSTEMS ENGINEERING,25,1,,3,18,16,Web of Sci,10.1002/sys.21598,,"An optimal trade-off between resilience (the ability to survive and recover from disruptions) and affordability is highly desirable in System of Systems (SoS) architectures. However, it is difficult to design SoS architectures for these goals as existing resilience evaluation methods require detailed disruption models that are not readily available in the early stages of design. Biological ecosystems (nature's resilient SoS) achieve these goals through a unique balance of efficient and redundant interactions in their architectures-measured using the metric Degree of System Order (DoSO). This research tests if this ecological architecting principle and the DoSO metric are useful for designing resilient and affordable SoS. The resilience versus affordability tradespace of a large number of notional SoS architectures is investigated using the DoSO metric. Results indicate that the majority of Pareto optimal SoS architectures, under various disruptions, lie in the ecologically-identified favorable DoSO range. Further, SoS architectures within this DoSO range were found to have better resilience and affordability attributes, in general, than the architectures outside it. DoSO evaluation does not require knowledge of disruption scenarios and is the first network architecture metric to consider resilience versus affordability trade-offs, making it a valuable addition to the SoS engineering toolset.",bio-inspired design; resilience; system of systems,Article,WOS:000686479200001,Engineering; Operations Research & Management Science,Cyber-Physical,Hypothetical,Physical Networks,Hypothetical system-of-systems,DoSO; RL,Ecosystem,Degree of System Order (DoSO),Technology pull,Indirect,Modeling/Simulation,Procedural,1,2, 
2022,"Pérez-Hurtado I., Orellana-Martín D., Martínez-del-Amor M.A., Valencia-Cabrera L., Riscos-Núñez A.",26029511500;56429543500;27467481100;57219366924;8955292600;,Computer Science and Artificial Intelligence,No,A new P-Lingua toolkit for agile development in membrane computing,Information Sciences,587,,,1,22,,Scopus,10.1016/j.ins.2021.12.003,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121368037&doi=10.1016%2fj.ins.2021.12.003&partnerID=40&md5=416eaec63a6dcae48923b561e033452d,"Membrane computing is a massively parallel and non-deterministic bioinspired computing paradigm whose models are called P systems. Validating and testing such models is a challenge which is being overcome by developing simulators. Regardless of their heterogeneity, such simulators require to read and interpret the models to be simulated. To this end, P-Lingua is a high-level P system definition language which has been widely used in the last decade. The P-Lingua ecosystem includes not only the language, but also libraries and software tools for parsing and simulating membrane computing models. Each version of P-Lingua supported new types or variants of P systems. This leads to a shortcoming: Only a predefined list of variants can be used, thus making it difficult for researchers to study custom ones. Moreover, derivation modes cannot be user-defined, i.e, the way in which P system computations should be generated is determined by the simulation algorithm in the source code. The main contribution of this paper is a completely new design of the P-Lingua language, called P-Lingua 5, in which the user can define custom variants and derivation modes, among other improvements such as including procedural programming and simulation directives. It is worth mentioning that it has backward-compatibility with previous versions of the language. A completely new set of command-line tools is provided for parsing and simulating P-Lingua 5 files. Finally, several examples are included in this paper covering the most common P system types. © 2021 The Author(s)",Computer languages; Computer simulation; Membrane computing; P-Lingua; Software tools,Article,2-s2.0-85121368037,Engineering; Computer Science; Mathematics,Cyber,Hypothetical,Modeling/Simulation,Computer language (P system),P-Lingua 5,Molecule-Cell-Tissue,Chemical interactions across membranes,Technology pull,Indirect,Theoretical/Conceptual,Procedural,1,2, 
2022,"Zubair A.A., Razak S.A., Ngadi M.A., Al‐dhaqm A., Yafooz W.M.S., Emara A.-H.M., Saad A., Al‐aqrabi H.",57213353763;57202120585;24923511700;56516988400;36648204000;57203994679;57216820874;55229303300;,Computer Science; Computers and Systems Engineering,No,A Cloud Computing‐Based Modified Symbiotic Organisms Search Algorithm (AI) for Optimal Task Scheduling,Sensors,22,4,1674,,,,Scopus,10.3390/s22041674,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124914980&doi=10.3390%2fs22041674&partnerID=40&md5=5bf1106e3b345c6d8bd41fcf955829cc,"The search algorithm based on symbiotic organisms’ interactions is a relatively recent bio-inspired algorithm of the swarm intelligence field for solving numerical optimization problems. It is meant to optimize applications based on the simulation of the symbiotic relationship among the distinct species in the ecosystem. The task scheduling problem is NP complete, which makes it hard to obtain a correct solution, especially for large‐scale tasks. This paper proposes a modified symbiotic organisms search‐based scheduling algorithm for the efficient mapping of heterogeneous tasks to access cloud resources of different capacities. The significant contribution of this technique is the simplified representation of the algorithm’s mutualism process, which uses equity as a measure of relationship characteristics or efficiency of species in the current ecosystem to move to the next generation. These relational characteristics are achieved by replacing the original mutual vector, which uses an arithmetic mean to measure the mutual characteristics with a geometric mean that enhances the survival advantage of two distinct species. The modified symbiotic organisms search algorithm (G_SOS) aims to minimize the task execution time (makespan), cost, response time, and degree of imbalance, and improve the convergence speed for an optimal solution in an IaaS cloud. The performance of the proposed technique was evaluated using a CloudSim toolkit simulator, and the percentage of improvement of the proposed G_SOS over classical SOS and PSO‐SA in terms of makespan minimization ranges between 0.61–20.08% and 1.92–25.68% over a large‐scale task that spans between 100 to 1000 Million Instructions (MI). The solutions are found to be better than the existing standard (SOS) technique and PSO. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.",Cloud computing; Cloud resource management; Convergence speed; Ecosystem; Geometric mean; Symbiotic organisms search algorithm; Task scheduling,Article,2-s2.0-85124914980,"Engineering; Computer Science; Biochemistry, Genetics and Molecular Biology; Physics; Chemistry",Cyber,Hypothetical,Cloud computing,Swarm intelligence algorithm,G_SOS: modified symbiotic organisms search algorithm,Population-Community,Heterogenous symbiotic organism groups (swarms),Technology pull,Indirect,Modeling/Simulation,,0,2, 
2021,"Chatterjee A., Huang H., Davis K.R., Layton A.",57211601543;57193795482;55634341600;55532377300;,Mechanical Engineering,No,A Multigraph Modeling Approach to Enable Ecological Network Analysis of Cyber Physical Power Networks,"2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2021",,,,239,244,,Scopus,10.1109/SmartGridComm51999.2021.9631989,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123913217&doi=10.1109%2fSmartGridComm51999.2021.9631989&partnerID=40&md5=ce1f7da571ff763a9f41757b781c1611,"The design of resilient power grids is a critical engineering challenge for the smooth functioning of society. Bioinspired design, using a framework called the Ecological Network Analysis (ENA), is a promising solution for improving the resilience of power grids. However, the existing ENA framework can only account or for one type of flow in a network. Thus, the previous applications of ENA in power grid design were limited to the design and evaluation of the power flows only and could not account for the monitoring and control systems and their interactions that are critical to the operation of energy infrastructure. The present work addresses this limitation by proposing a multigraph modeling approach and modified ENA metrics that enable evaluation of the network organization and comparison to biological ecosystems for design inspiration. This work also compares the modeling features of the proposed model and the conventional graphical model of Cyber Physical Power Networks found in the literature to understand the implications of the different modeling approaches. © 2021 IEEE.",Bio-Inspired Design; Cyber-Physical Power Networks; Ecological Network Analysis; Network Modeling,Conference Paper,2-s2.0-85123913217,Engineering; Computer Science; Mathematics,Cyber-Physical,Hypothetical,Electrical System/Devices,Resilient power grids (power flows/monitoring/controls); Graph model and modified ENA metric,DoSO; Reco: Ecosystem fitness,Ecosystem,Food webs,Technology pull,Indirect,Modeling/Simulation,Procedural,2,2, 
2021,"Chatterjee A., Malak R., Layton A.",57211601543;6602411490;55532377300;, Mechanical Engineering,No,Exploring System of Systems Resilience Versus Affordability Trade-Space Using a Bio-Inspired Metric,Journal of Computing and Information Science in Engineering,21,5,50905,,,,Scopus,10.1115/1.4050288,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127026487&doi=10.1115%2f1.4050288&partnerID=40&md5=bb903e438a8f4f2a7dd91590ae056196,"The objective of this study is to investigate the value of an ecologically inspired architectural metric called the degree of system order in the system of systems (SoS) architecting process. Two highly desirable SoS attributes are the ability to withstand and recover from disruptions (resilience) and affordability. In practice, more resilient SoS architectures are less affordable, and it is essential to balance the trade-offs between the two attributes. Ecological research analyzing long-surviving ecosystems (nature’s resilient SoS) using the degree of system order metric has found a unique balance of efficient and redundant interactions in their architecture. This balance implies that highly efficient ecosystems tend to be inflexible and vulnerable to perturbations, while highly redundant ecosystems fail to utilize resources effectively for survival. Motivated by this unique architectural property of ecosystems, this study investigates the response to disruptions versus affordability trade space of a large number of feasible SoS architectures. Results indicate that the most favorable SoS architectures in this trade space share a specific range of values of degree of system order. This suggests that degree of system order can be a key metric in engineered SoS development. Evaluating the degree of system order does not require detailed simulations and can, therefore, guide the early-stage SoS design process toward more optimal SoS architectures. Copyright © 2021 by ASME.",Affordability; Bio-inspired design; Model-based systems engineering; Multidisciplinary optimization; Resilience; SoS architectures; System of systems,Article,2-s2.0-85127026487,Engineering; Computer Science,Cyber-Physical,Hypothetical,Physical Networks,Resiliency metric,DoSO: Degree of system order (w.r.t. resilience/affordability),Ecosystem,Degree of system order in system of systems (SoS),Technology pull,Indirect,Modeling/Simulation,Procedural,2,2, 
2021,Coppens M.-O.,54790515100;,Chemical Engineering,No,Nature-Inspired Chemical Engineering for Process Intensification,Annual Review of Chemical and Biomolecular Engineering,12,,,187,215,,Scopus,10.1146/annurev-chembioeng-060718-030249,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108020281&doi=10.1146%2fannurev-chembioeng-060718-030249&partnerID=40&md5=566a628f01cfe490d3428b447bdae02b,"A nature-inspired solution (NIS) methodology is proposed as a systematic platform for innovation and to inform transformative technology required to address Grand Challenges, including sustainable development. Scalability, efficiency, and resilience are essential to nature, as they are to engineering processes. They are achieved through underpinning fundamental mechanisms, which are grouped as recurring themes in the NIS approach: hierarchical transport networks, force balancing, dynamic self-organization, and ecosystem properties. To leverage these universal mechanisms, and incorporate them effectively into engineering design, adaptations may be needed to accommodate the different contexts of nature and engineering applications. Nature-inspired chemical engineering takes advantage of the NIS methodology for process intensification, as demonstrated here in fluidization, catalysis, fuel cell engineering, and membrane separations, where much higher performance is achieved by rigorously employing concepts optimized in nature. The same approach lends itself to other applications, from biomedical engineering to information technology and architecture. © 2021 by Annual Reviews. All rights reserved.",,Review,2-s2.0-85108020281,Chemical Engineering; Chemistry,Physical,Actual,Chemical,Chemical engineering (fluidized beds/porous catalysts/fuel cells/membranes),NICE: Nature-Inspired Chemical Engineering,Multiple,Indirect ecosystem mechanisms; examples (leaf venation; GroEL/GroES chaperoins; lung acinus/alveoli; cell membranes; wind/waves/vibrations),Technology pull,Both,Review,Procedural,2,1, 
2021,"McCoy D.E., Shneidman A.V., Davis A.L., Aizenberg J.",55315686200;55507775200;57205300741;57203075066;,Organismic and Evolutionary Biology; Materials Science and Engineering; Engineering and Applied Sciences; Biology,Yes,Finite-difference Time-domain (FDTD) Optical Simulations: A Primer for the Life Sciences and Bio-Inspired Engineering,Micron,151,,103160,,,,Scopus,10.1016/j.micron.2021.103160,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117240985&doi=10.1016%2fj.micron.2021.103160&partnerID=40&md5=eada1c4f072516d6548f812d56e3a3b3,"Light influences most ecosystems on earth, from sun-dappled forests to bioluminescent creatures in the ocean deep. Biologists have long studied nano- and micro-scale organismal adaptations to manipulate light using ever-more sophisticated microscopy, spectroscopy, and other analytical equipment. In combination with experimental tools, simulations of light interacting with objects can help researchers determine the impact of observed structures and explore how variations affect optical function. In particular, the finite-difference time-domain (FDTD) method is widely used throughout the nanophotonics community to efficiently simulate light interacting with a variety of materials and optical devices. More recently, FDTD has been used to characterize optical adaptations in nature, such as camouflage in fish and other organisms, colors in sexually-selected birds and spiders, and photosynthetic efficiency in plants. FDTD is also common in bioengineering, as the design of biologically-inspired engineered structures can be guided and optimized through FDTD simulations. Parameter sweeps are a particularly useful application of FDTD, which allows researchers to explore a range of variables and modifications in natural and synthetic systems (e.g., to investigate the optical effects of changing the sizes, shape, or refractive indices of a structure). Here, we review the use of FDTD simulations in biology and present a brief methods primer tailored for life scientists, with a focus on the commercially available software Lumerical FDTD. We give special attention to whether FDTD is the right tool to use, how experimental techniques are used to acquire and import the structures of interest, and how their optical properties such as refractive index and absorption are obtained. This primer is intended to help researchers understand FDTD, implement the method to model optical effects, and learn about the benefits and limitations of this tool. Altogether, FDTD is well-suited to (i) characterize optical adaptations and (ii) provide mechanistic explanations; by doing so, it helps (iii) make conclusions about evolutionary theory and (iv) inspire new technologies based on natural structures. © 2021 The Authors",Biological optics; Color science; Finite-difference time-domain; Optical simulation; Reflectance; Structural color,Review,2-s2.0-85117240985,"Biochemistry, Genetics and Molecular Biology; Material Science; Physics",Physical,Review,Material science,Light interacting materials; life sciences simulations; optical simulations,"Finite-difference time-domain
(FDTD) primer",Molecule-Cell-Tissue,Nanophotonics; one example: moon satyr butterfly (Pierella luna),Biology push,Direct,Review,,,, 
2021,"Morozov A.Y., Kuzenkov O.A., Sandhu S.K.",7202104923;6508182979;57207825230;,Mathematics; Ecology and Evolution,Yes,Global optimisation in Hilbert spaces using the survival of the fittest algorithm,Communications in Nonlinear Science and Numerical Simulation,103,,106007,,,,Scopus,10.1016/j.cnsns.2021.106007,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113703587&doi=10.1016%2fj.cnsns.2021.106007&partnerID=40&md5=0419736286a342059904b5c93da2bf8c,"Global optimisation problems in high-dimensional and infinite-dimensional spaces arise in various real-world applications such as engineering, economics and finance, geophysics, biology, machine learning, optimal control, etc. Among stochastic approaches to global optimisation, biology-inspired methods are currently very popular in the literature. Bio-inspired approaches imitate natural ecological and evolutionary processes and are reported to be efficient in a large number of practical study cases. However, many bio-inspired methods can possess some vital drawbacks. For example, due to their semi-empirical nature, convergence to the globally optimal solution cannot always be guaranteed. Another major obstacle is that the existing methods often struggle with higher dimensionality of the space of parameters, which results in a slow convergence. Moreover, it is often difficult to adjust the dimensionality of the space of parameters in the corresponding computer code for a practical realisation of the optimisation method. Here, we present a bio-inspired global stochastic optimisation method applicable in Hilbert function spaces. The proposed method is an evolutionary algorithm inspired by the Darwin's famous idea of survival of the fittest and is, therefore, referred to as the ‘Survival of the Fittest Algorithm’ (SoFA). Mathematically, the convergence of SoFA is a consequence of the fundamental property of localisation of probabilistic measure in a Hilbert space and we rigorously prove the convergence of the introduced algorithm for a generic class of functionals. The approach is simple in terms of practical coding. As an insightful, real-world problem, we apply our method to find the globally optimal trajectory for the daily vertical migration of zooplankton in the ocean and lakes, this phenomenon is considered to be the largest synchronised movement of biomass on Earth. We maximise fitness in a function space derived from a von-Foerster stage-structured population model with biologically realistic parameters. We show that for problems of fitness maximisation in high-dimensional spaces, SoFA provides better performance as compared to some other stochastic global optimisation algorithms. We highlight the links between the new optimisation algorithm and natural selection processes in ecosystems occurring within a population via gradual exclusion of competitive con-specific strains. © 2021 Elsevier B.V.",Bio-inspired optimisation; Population fitness; Stochastic modelling; Vertical migration of zooplankton,Article,2-s2.0-85113703587,Mathematics,Cyber,Actual,Modeling/Simulation,Optimization algorithm,SoFA: Survival of the Fittest Algorithm,Population-Community,Survival of the fittest,Technology pull,Indirect,Modeling/Simulation,,0,2, 
2021,"Stachew E., Houette T., Gruber P.",57223319672;57210175265;57196801322;," Biology, Art",Yes,Root Systems Research for Bioinspired Resilient Design: A Concept Framework for Foundation and Coastal Engineering,Frontiers in Robotics and AI,8,,548444,,,,Scopus,10.3389/frobt.2021.548444,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105576708&doi=10.3389%2ffrobt.2021.548444&partnerID=40&md5=251f08f787896cf3d547f3cf1de04a02,"The continuous increase in population and human migration to urban and coastal areas leads to the expansion of built environments over natural habitats. Current infrastructure suffers from environmental changes and their impact on ecosystem services. Foundations are static anchoring structures dependent on soil compaction, which reduces water infiltration and increases flooding. Coastal infrastructure reduces wave action and landward erosion but alters natural habitat and sediment transport. On the other hand, root systems are multifunctional, resilient, biological structures that offer promising strategies for the design of civil and coastal infrastructure, such as adaptivity, multifunctionality, self-healing, mechanical and chemical soil attachment. Therefore, the biomimetic methodology is employed to abstract root strategies of interest for the design of building foundations and coastal infrastructures that prevent soil erosion, anchor structures, penetrate soils, and provide natural habitat. The strategies are described in a literature review on root biology, then these principles are abstracted from their biological context to show their potential for engineering transfer. After a review of current and developing technologies in both application fields, the abstracted strategies are translated into conceptual designs for foundation and coastal engineering. In addition to presenting the potential of root-inspired designs for both fields, this paper also showcases the main steps of the biomimetic methodology from the study of a biological system to the development of conceptual technical designs. In this way the paper also contributes to the development of a more strategic intersection between biology and engineering and provides a framework for further research and development projects. © Copyright © 2021 Stachew, Houette and Gruber.",bioinspired design; biomimicry; building foundations; coastal engineering; root architecture; root research,Review,2-s2.0-85105576708,Computer Science,Physical,Hypothetical,Buildings/Built Environment,Structural foundations in coastal areas,Concept framework application,Organ-Organ System,Root systems,Technology pull,Direct,Theoretical/Conceptual,Procedural,2,2, 
2021,"Wishart, G; Gupta, P; Nisbet, A; Schettino, G; Velliou, E",N/A,Chemical and Process Engineering; Physics; Targeted Intervention; Medical Physical and Biomedical Engineering,Yes,On the Evaluation of a Novel Hypoxic 3D Pancreatic Cancer Model as a Tool for Radiotherapy Treatment Screening,CANCERS,13,23,6080,,,18,Web of Sci,10.3390/cancers13236080,,"Simple Summary Pancreatic cancer challenges global health with non-specific symptoms, devastatingly low survival rates, and high treatment resistance profiles. Tissue engineering is advancing to facilitate animal free tissue biomimicry, allowing the replication of tumour tissue specific hallmarks of pancreatic cancer that challenge modern treatments. Here, we report the development and characterisation of a low oxygen (hypoxic) 3D polyurethane scaffold system for long-term analysis of radiation responses. This finely tuned platform more accurately recapitulates bio-physical, bio-chemical, and structural-bio-mechanical in vivo tissue niches as well as tumour hypoxia. The latter is a treatment-limiting feature for radiotherapy, allowing the system to streamline the transition of clinical testing from bench to bedside. Tissue engineering is evolving to mimic intricate ecosystems of tumour microenvironments (TME) to more readily map realistic in vivo niches of cancerous tissues. Such advanced cancer tissue models enable more accurate preclinical assessment of treatment strategies. Pancreatic cancer is a dangerous disease with high treatment resistance that is directly associated with a highly complex TME. More specifically, the pancreatic cancer TME includes (i) complex structure and complex extracellular matrix (ECM) protein composition; (ii) diverse cell populations (e.g., stellate cells), cancer associated fibroblasts, endothelial cells, which interact with the cancer cells and promote resistance to treatment and metastasis; (iii) accumulation of high amounts of (ECM), which leads to the creation of a fibrotic/desmoplastic reaction around the tumour; and (iv) heterogeneous environmental gradients such as hypoxia, which result from vessel collapse and stiffness increase in the fibrotic/desmoplastic area of the TME. These unique hallmarks are not effectively recapitulated in traditional preclinical research despite radiotherapeutic resistance being largely connected to them. Herein, we investigate, for the first time, the impact of in vitro hypoxia (5% O-2) on the radiotherapy treatment response of pancreatic cancer cells (PANC-1) in a novel polymer (polyurethane) based highly macroporous scaffold that was surface modified with proteins (fibronectin) for ECM mimicry. More specifically, PANC-1 cells were seeded in fibronectin coated macroporous scaffolds and were cultured for four weeks in in vitro normoxia (21% O-2), followed by a two day exposure to either in vitro hypoxia (5% O-2) or maintenance in in vitro normoxia. Thereafter, in situ post-radiation monitoring (one day, three days, seven days post-irradiation) of the 3D cell cultures took place via quantification of (i) live/dead and apoptotic profiles and (ii) ECM (collagen-I) and HIF-1a secretion by the cancer cells. Our results showed increased post-radiation viability, reduced apoptosis, and increased collagen-I and HIF-1a secretion in in vitro hypoxia compared to normoxic cultures, revealing hypoxia-induced radioprotection. Overall, this study employed a low cost, animal free model enabling (i) the possibility of long-term in vitro hypoxic 3D cell culture for pancreatic cancer, and (ii) in vitro hypoxia associated PDAC radio-protection development. Our novel platform for radiation treatment screening can be used for long-term in vitro post-treatment observations as well as for fractionated radiotherapy treatment.",pancreatic cancer; tissue engineering; tumour microenvironment (TME); treatment resistance; radiotherapy; radiation; radioprotection; hypoxia; polyurethane scaffolds; 3D cell culture; extracellular matrix (ECM); HIF-1a; PANC-1,Article,WOS:000735223100001,Oncology,Physical,Actual,Medical,low oxygen (hypoxic) 3D polyurethane scaffold system for long-term analysis of radiation responses,Hypoxic 3D polyurethane scaffold system,Ecosystem,Ecosystems of tumour microenvironments (TME); in vivo niches,Technology pull,Direct,Piloting/Implementation,Procedural,2,2, 
2021,"Zubair A.A., Razak S.B.A., Bin Ngadi M.A., Ahmed A.",57213353763;57225109397;57225098562;57202657629;,Computing; Mathematics,Yes,Current Perspective of Symbiotic Organisms Search Technique in Cloud Computing Environment: A Review,International Journal of Advanced Computer Science and Applications,12,6,,446,453,,Scopus,10.14569/IJACSA.2021.0120650,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109193681&doi=10.14569%2fIJACSA.2021.0120650&partnerID=40&md5=2c0fe5de329b3e91a8c86aac798512c6,"Nature-inspired algorithms in computer science and engineering are algorithms that take their inspiration from living things and imitate their actions in order to construct functional models. The SOS algorithm (symbiotic organisms search) is a new promising metaheuristic algorithm. It is based on the symbiotic relationship that exists between different species in an ecosystem. Organisms develop symbiotic bonds like mutualism, commensalism, and parasitism to survive in their environment. Standard SOS has since been modified several times, either by hybridization or as better versions of the original algorithm. Most of these modifications came from engineering construction works and other discipline like medicine and finance. However, little improvement on the standard SOS has been noticed on its application in cloud computing environment, especially cloud task scheduling. As a result, this paper provides an overview of SOS applications in task scheduling problem and suggest a new enhanced method for better performance of the technique in terms of fast convergence speed. © 2021. All Rights Reserved.",Cloud computing; cloud resource management; cloud task scheduling; convergence speed; entrapment; symbiotic organisms search,Article,2-s2.0-85109193681,Computer Science,Cyber,Review,Cloud computing,Cloud computing; SOS algorithm (symbiotic organisms search),Standard SOS algorithm,Population-Community,Heterogenous symbiotic organism groups (swarms),Technology pull,Indirect,Review,,,, 
2020,"Abdullahi M., Ngadi M.A., Dishing S.I., Abdulhamid S.M., Usman M.J.",56926469300;24923511700;57201188976;56157617800;56031941100;,Computer Science; Cyber Security Science; Mathematics,Yes,A survey of symbiotic organisms search algorithms and applications,Neural Computing and Applications,32,2,,547,566,,Scopus,10.1007/s00521-019-04170-4,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064346567&doi=10.1007%2fs00521-019-04170-4&partnerID=40&md5=70d53e3d8e6997eef14dac5d852ab1eb,"Nature-inspired algorithms take inspiration from living things and imitate their behaviours to accomplish robust systems in engineering and computer science discipline. Symbiotic organisms search (SOS) algorithm is a recent metaheuristic algorithm inspired by symbiotic interaction between organisms in an ecosystem. Organisms develop symbiotic relationships such as mutualism, commensalism, and parasitism for their survival in ecosystem. SOS was introduced to solve continuous benchmark and engineering problems. The SOS has been shown to be robust and has faster convergence speed when compared with genetic algorithm, particle swarm optimization, differential evolution, and artificial bee colony which are the traditional metaheuristic algorithms. The interests of researchers in using SOS for handling optimization problems are increasing day by day, due to its successful application in solving optimization problems in science and engineering fields. Therefore, this paper presents a comprehensive survey of SOS advances and its applications, and this will be of benefit to the researchers engaged in the study of SOS algorithm. © 2019, Springer-Verlag London Ltd., part of Springer Nature.",Bio-inspired algorithms; Global search; Local search; Metaheuristics algorithms; Optimization; Symbiotic organisms search,Review,2-s2.0-85064346567,Computer Science,Cyber,Review,Optimization,Symbiotic organisms search (SOS) algorithm,SoS,Population-Community,Heterogenous symbiotic organism groups (swarms),Technology pull,Indirect,Review,,,, 
2020,"Chatterjee, A; Layton, A",N/A,Mechanical Engineering,No,Mimicking nature for resilient resource and infrastructure network design,RELIABILITY ENGINEERING & SYSTEM SAFETY,204,,107142,,,14,Web of Sci,10.1016/j.ress.2020.107142,,"Increasingly prevalent extreme weather events have caused resilience to become an essential sustainable development component for resource and infrastructure networks. Existing resilience metrics require detailed knowledge of the system and potential disruptions, which is not available in the early design stage. The lack of quantitative tools to guide the early stages of design for resilience, forces engineers to rely on heuristics (use physical redundancy, localized capacity, etc.). This research asserts that the required quantitative guidelines can be developed using the architecting principles of biological ecosystems, which maintain a unique balance between pathway redundancy and efficiency, enabling them to be both productive under normal circumstances and survive disruptions. Ecologists quantify this network characteristic using the ecological fitness function. This paper presents the required reformulation required to enable the use of this metric in the design and analysis of resource and infrastructure networks with multiple distinct, but interdependent, interactions. The proposed framework is validated by comparing the resilience characteristics of two notional supply chain designs: one designed for minimum shipping cost and the other designed using the proposed bio-inspired framework. The results support using the proposed bio-inspired framework to guide designers in creating resilient and sustainable resource and infrastructure networks.",Resilience; Critical infrastructure; Supply chains; Ecological network analysis; Bio-inspired design; Sustainability,Article,WOS:000583913400030,Engineering; Operations Research & Management Science,Cyber-Physical,Hypothetical,Physical Networks,Supply chain network design,DoSO,Ecosystem,Ecological fitness function,Technology pull,Indirect,Modeling/Simulation,Procedural,2,2, 
2020,"Kadar T., Kadar M.",57219482442;23004687400;,Arts and Design; Computer Science and Engineering,Yes,Sustainability Is Not Enough: Towards AI Supported Regenerative Design,"Proceedings - 2020 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2020",,,9198554,,,,Scopus,10.1109/ICE/ITMC49519.2020.9198554,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093075217&doi=10.1109%2fICE%2fITMC49519.2020.9198554&partnerID=40&md5=788a294fd4a3d89b194c1ffbb466d05c,"Sustainability, to describe it in simpler words, is a process of making things less bad. It is not a long-term solution even if it limits the destruction of the environment to a manageable level. Nevertheless, by just becoming sustainable, one cannot bring back what has been lost. The restoration approach is immediately required to fixing what has been broken by using renewable energy, reforestation and creating biodiversity gains. Redesigning our industrial system of production and consumption around the circular patterns of resource and energy use that we observe in mature ecosystems is a must and a complex endeavour. To create a truly regenerative economy challenges us to work with huge amounts of data. New techniques of data science and artificial intelligence are required in each step of the ecological design. This paper presents some examples of biomimicry in circular design and proposes techniques that integrate data science and artificial intelligence (AI) as tools to accelerate the transition towards the regenerative approach. AI, as an emergent 'Fourth Industrial Revolution' technology, can support and accelerate the pace of human innovation to design the future urban developments, to enable innovation in cities. AI has the capability to create a step change, to support an effective economic system that is regenerative by design. © 2020 IEEE.",artificial intelligence; big data; circular design; future cities; regenerative economy,Conference Paper,2-s2.0-85093075217,Engineering; Computer Science; Environmental Science; Medicine,Cyber,Hypothetical,Concept model,Biomimicry in circular economy design; AI/big data science,CoReDe: Cognitive Regenerative Design,Ecosystem,Economic systems; cities,Technology pull,Indirect,Theoretical/Conceptual,Procedural,1,0, 
2020,"Morán-López R., Uceda Tolosa O.",57212024405;57191909034;,"Anatomy, Cellular Biology and Zoology",Yes,"Biomechanics of fish swimming and leaping under waterfalls: A realistic field, image-based biophysical model with bioengineering implications",Bioinspiration and Biomimetics,15,5,56011,,,,Scopus,10.1088/1748-3190/ab9b64,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088881349&doi=10.1088%2f1748-3190%2fab9b64&partnerID=40&md5=3343de3efa376bb172039a8c4ad37ac7,"Worldwide river fragmentation by infrastructures is altering essential ecological processes including fish migrations. Unlike laboratory approaches, field methods and biophysical models have the potential to provide realistic representations of interacting fish-obstacle systems, furthering insights in behavioural and biomechanics science, and allowing better bioinspired engineering. We developed a new field, image-based method that integrates a biophysical mechanistic model to describe the swimming and leaping biomechanics of wild populations of fish in the non-lab ecological context where their reproductive migration takes place. A weir obstacle in natural riverine conditions where fish freely migrate upstream to their breeding grounds was filmed. A biophysical model including the relevant biomechanical and hydraulic forces and their interactions was parametrised and calibrated with the spatial coordinates of fish trajectories. The method was validated with independent empirical data under field conditions. The distribution of fish initial velocities and angle of emergence of the sample of filmed leaps were reliably quantified in field conditions. The distribution of burst swimming velocities underwater was differentiated from that of the initial leaping velocities associated with the thrust of hydraulic forces; fish behaviour while emerging from water was described. Fish approximated the optimum angle to negotiate the waterfall but did not reach the minimum velocity needed to negotiate the obstacle. The method demonstrated the ability to provide realistic, accurate and precise ecological data on field-based fish interactions with challenge zones during upstream reproductive migrations. The method is cost-effective as it is based on general purpose digital cameras, image analysis, and modelling equations in spreadsheets; all inexpensive and readily available. This new approach can be directly applied to solve scientific problems and bioengineering challenges in any freshwater ecosystem that has natural or artificial obstacles and migratory fish with leaping behaviour. © 2020 IOP Publishing Ltd.",biophysical modelling; field image analysis; fish migration; infrastructure bioengineering; river fragmentation and connectivity; swimming and leaping biomechanics,Article,2-s2.0-85088881349,"Engineering; Biochemistry, Genetics and Molecular Biology",Cyber-Physical,Hypothetical,Bioengineering,Biophysical model (bioengineering application),Fish biophysical model,Organism,Fish (swimming/jumping),Biology push,Direct,Modeling/Simulation,Procedural,2,2, 
2020,"Pradhan S., Brooks A.K., Yadavalli V.K.",57209153200;57217169139;6603753753;,Chemical and Life Science Engineering,No,Nature-derived materials for the fabrication of functional biodevices,Materials Today Bio,7,,100065,,,,Scopus,10.1016/j.mtbio.2020.100065,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086597356&doi=10.1016%2fj.mtbio.2020.100065&partnerID=40&md5=38901a535b34c1c2fb687f35e397f045,"Nature provides an incredible source of inspiration, structural concepts, and materials toward applications to improve the lives of people around the world, while preserving ecosystems, and addressing environmental sustainability. In particular, materials derived from animal and plant sources can provide low-cost, renewable building blocks for such applications. Nature-derived materials are of interest for their properties of biodegradability, bioconformability, biorecognition, self-repair, and stimuli response. While long used in tissue engineering and regenerative medicine, their use in functional devices such as (bio)electronics, sensors, and optical systems for healthcare and biomonitoring is finding increasing attention. The objective of this review is to cover the varied nature derived and sourced materials currently used in active biodevices and components that possess electrical or electronic behavior. We discuss materials ranging from proteins and polypeptides such as silk and collagen, polysaccharides including chitin and cellulose, to seaweed derived biomaterials, and DNA. These materials may be used as passive substrates or support architectures and often, as the functional elements either by themselves or as biocomposites. We further discuss natural pigments such as melanin and indigo that serve as active elements in devices. Increasingly, combinations of different biomaterials are being used to address the challenges of fabrication and performance in human monitoring or medicine. Finally, this review gives perspectives on the sourcing, processing, degradation, and biocompatibility of these materials. This rapidly growing multidisciplinary area of research will be advanced by a systematic understanding of nature-inspired materials and design concepts in (bio)electronic devices. © 2020",Biomaterials; Cellulose; Chitin; Flexible bioelectronics; Nature-inspired; Silk,Review,2-s2.0-85086597356,"Engineering; Biochemistry, Genetics and Molecular Biology; Material Science; Chemical Engineering",Cyber-Physical,Review,Electrical System/Devices,Electronic biodivices with nature-sourced materials,Bio-electronics,Molecule-Cell-Tissue,Proteins and polypeptides (silk/collagen); polysaccharides (chitin/cellulose); seaweed; DNA,Both,Direct,Review,,,, 
2020,"Sajedi H., Mohammadipanah F.",24477912600;34977338000;, Computer Science; Microbiology,Yes,Developed Optimization Algorithms Based on Natural Taxis Behavior of Bacteria,Cognitive Computation,12,6,,1187,1204,,Scopus,10.1007/s12559-020-09760-2,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090230160&doi=10.1007%2fs12559-020-09760-2&partnerID=40&md5=aba982b1539972a90e25939b845ec6c4,"Bio-inspired optimization algorithms are capable of resolving a wide variety of challenges in science and technology, including cognitive science. The principles used by the smallest living organisms in the world could be adopted in the decision-based algorithms for artificial intelligence purposes. Bacterial biological functions and behaviors have been the most effective strategies, which have evolved in these single-cell organisms. The bacteria live based on cognitive and social sensing in nature. Using cognitive processing in bacterial populations enables them to perceive the dynamic surrounding ecosystem and explore their environment. Recently, the behavioral pattern of bacterial foraging has been recruited for resolving optimization issues. This paper reviews 22 developed optimization algorithms based on the bacterial life cycle of motile bacteria. The solicitation of these algorithms applies to a wide range of topics, including cognitive analysis, engineering, medicine, and industry. Following a comparison between different algorithms, we summarize the application of the algorithms in these areas. Eventually, some points are suggested for developing and employing the algorithms in future practical applications of cognitive technology. © 2020, Springer Science+Business Media, LLC, part of Springer Nature.",Bacterial foraging; Bacterial life cycle; Chemotaxis; Global optimization; Group intelligence; Metaheuristic algorithm; Microbial systems; Nature-inspired,Review,2-s2.0-85090230160,Computer Science,Cyber,Review,Optimization,Optimization algorithms,BFO: Bacterial foraging optimization,Organism,Bacterial foraging,Technology pull,Direct,Review,,,, 
2020,"Watson B.C., Malone S., Weissburg M., Bras B.",57205527859;57201801688;6603959714;7004473508;,Mechanical Engineering,No,Adding a detrital actor to increase system of system resilience: A case study test of a biologically inspired design heuristic to guide sociotechnical network evolution,"Journal of Mechanical Design, Transactions of the ASME",142,12,121705,,,,Scopus,10.1115/1.4048579,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107346309&doi=10.1115%2f1.4048579&partnerID=40&md5=28420c10c2f4c92b9251f194be276de0,"Networking complex sociotechnical systems into larger Systems of Systems (SoS) typically results in improved performance characteristics including sustainability, efficiency, and productivity. The response, or lack thereof, of many SoS to unexpected constituent system failures undermines their effectiveness in many cases. SoS performance after faults can be improved by improving the SoS’s hard (physical design) or soft (human intervention) resilience. The current approaches to increase resilience are limited due to the cost and necessary of human response increasing non-linearly with SoS scale. The limitations of current approaches require a novel design approach to improve SoS network resilience. We hypothesize that biologically inspired network design can improve SoS resilience. To illustrate this, a systems dynamics model of a Forestry Industry is presented and an optimization search over potential hard and soft resilience approaches is compared to a biologically inspired network improvement. SoS network resilience is measured through the newly developed System of System Resilience Measurement (SoSRM). Our first result provides evidence that biologically inspired network design provides an approach to increase SoS resilience beyond hard and soft resilience improvements alone. Second, this work provides evidence that having a SoS constituent fulfill the ecosystem role of detrital actor increases resilience. Third, this paper documents the first case study using the new SoSRM metric to justify a design decision. Finally, this case study provides a counter-example to the theory that increased sustainability always results in increased resilience. By comparing biologically inspired network redesign and optimized traditional resilience improvements, this paper provides evidence that biologically inspired intervention may be the needed strategy to increase sociotechnical SoS network resilience, improve SoS performance, and overcome the limitations of traditional resilience improvement approaches. Copyright © 2020 by ASME.",Computer-aided design; Design for X; Design optimization; Design theory and methodology; Emergence; Resilience; Simulation-based design; System dynamics modeling; Systems design; Systems engineering; Systems of systems,Article,2-s2.0-85107346309,Engineering; Computer Science,Cyber,Actual,Physical Networks,System dynamics model; forestry industry case study,SoSRM: System of System Resilience Measurement; Adding detrital actor,Ecosystem,Functions of decomposers and detrital actors,Technology pull,Indirect,Modeling/Simulation,Procedural,2,2, 
2020,"Wu F., Zhang J.",57218205209;56116301200;,Design,No,Explore Urban Sustainable Ecology Construction from Bio-design Perspective,Advances in Intelligent Systems and Computing,1214 AISC,,,71,77,,Scopus,10.1007/978-3-030-51566-9_11,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088267022&doi=10.1007%2f978-3-030-51566-9_11&partnerID=40&md5=f63471ffdd3bbb386a0d23c75101027c,"Industrialization and economic expansion emerged in developing countries accelerate the process of urbanization, while some ecological problems such as natural ecology system damage and transformation of urban land also showed up. In the prophase of urban ecology planning, sustainable development should be taken into consideration to reduce the further transformation of the city and ecological restoration in the later period. For the purpose, this paper applied a framework of sustainable urban ecological construction to the problems that urban areas are facing with. A Bio-related design based perspective is proposed: focusing on the relationship among biological principles, organisms and design. Given three different sustainability research aspects: urban resilience, urban environment and urban biodiversity, this paper provides some suggestions for urban ecology construction. Key research questions for urban planners, landscape ecologists and designers are posed to advance the development of urban ecology in a bio-design mode. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.",Bio-design; Biomimetics; Sustainability; Symbiotic; Urban ecosystem,Conference Paper,2-s2.0-85088267022,Engineering; Computer Science,Physical,Hypothetical,Buildings/Built Environment,Urban design,Bio-design zone classifications,Ecosystem,Biological principles; organisms,Technology pull,Indirect,Theoretical/Conceptual,Procedural,1,0, 
2019,"Hayes S., Desha C., Burke M., Gibbs M., Chester M.",57204678167;30067547200;57203255270;7201393567;23995176100;,Engineering and Built Environment; Sustainable Engineering and the Built Environment,No,Leveraging socio-ecological resilience theory to build climate resilience in transport infrastructure,Transport Reviews,39,5,,677,699,,Scopus,10.1080/01441647.2019.1612480,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065725630&doi=10.1080%2f01441647.2019.1612480&partnerID=40&md5=105a41e7fff61d3e6241f06f7654c8eb,"Anthropogenic climate change poses risks to transport infrastructure that include disrupted operations, reduced lifespan and increased reconstruction and maintenance costs. Efforts to decrease the vulnerability of transport networks have been largely limited to understanding projected risks through governance and administrative efforts. Where physical adaptation measures have been implemented, these have typically aligned with a traditional “engineering resilience” approach of increasing the strength and rigidity of assets to withstand the impacts of climate change and maintain a stable operating state. Such systems have limited agility and are susceptible to failure from “surprise events”. Addressing these limitations, this paper considers an alternate approach to resilience, inspired by natural ecosystems that sense conditions in real-time, embrace multi-functionality and evolve in response to changing environmental conditions. Such systems embrace and thrive on unpredictability and instability. This paper synthesises key literature in climate adaptation and socio-ecological resilience theory to propose a shift in paradigm for transport infrastructure design, construction and operation, towards engineered systems that can transform, evolve and internally manage vulnerability. The authors discuss the opportunity for biomimicry (innovation inspired by nature) as an enabling discipline for supporting resilient and regenerative infrastructure, introducing three potential tools and frameworks. The authors conclude the importance of leveraging socio-ecological resilience theory, building on the achievements in engineering resilience over the past century. These findings have immediate practical applications in redefining resilience approaches for new transport infrastructure projects and transport infrastructure renewal. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.",climate change; engineering; infrastructure; socio-ecological resilience; Transport and society,Article,2-s2.0-85065725630,Social Sciences,Cyber-Physical,Review,Transportation,Transportation infrastructure (design/construction/operation),Socio-ecological resilience theory for transport infrastructure,Ecosystem,Climate adaptation and socio-ecological resilience theory,Technology pull,Indirect,Review,,,, 
2019,"Lalzawmliana V., Mukherjee P., Kundu B., Nandi S.K.",57191336341;16309966600;57191079587;7103084066;,Veterinary Surgery and Radiolog; Veterinary Clinical Complex; Bioceramic and Coating,Yes,Clinical application of biomimetic marine-derived materials for tissue engineering,Springer Series in Biomaterials Science and Engineering,14,,,329,356,,Scopus,10.1007/978-981-13-8855-2_15,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111788751&doi=10.1007%2f978-981-13-8855-2_15&partnerID=40&md5=b1cc2f30040648fb6f41b3b69c2d4b37,"The use of advance technology allocated a scientific community with significant development in the field of tissue engineering and medical sciences. Developing a biomaterial to replace the diseased or damaged tissue is a paramount importance for an effective regenerative approach, so that the original structural and functional status is recovered. Due to its rich biodiversity, marine environment yields immense potential and offer various organisms from which promising natural substances can be isolated to mimic the tissue ECM (extracellular matrix) in the body. Findings by various researchers both in vitro and in vivo also support the opinion that the derived structures from aquatic origin have optimistic potential for biomedical application. In this chapter, we shall discuss some of the marine-derived biomaterials which can be employed for various tissue engineering approaches. Marine ecosystem nourished a wide variety of creatures like corals, seashells and sea urchins from which various biopolymers can be extracted. These bio-molecules offer a new dimension for clinical application in dentistry, oral and maxillofacial surgery, wound healing, local drug delivery system, cartilage and bone tissue engineering. As the substances derived from marine origin are organic in nature, they are usually non-toxic, biocompatible, bioactive and well tolerated by the body, which boost their efficacy for tissue engineering application. © Springer Nature Singapore Pte Ltd 2019.",Alginate; Biosilica; Calcium carbonate and hydroxyapatite; Carrageenans; Chitin and chitosan; Chondroitin sulphate; Collagen; Fucoidan; Glycosaminoglycans; Hyaluronic acid; Marine biomaterials; Tissue engineering,Book Chapter,2-s2.0-85111788751,Engineering; Material Science,Physical,Revew,Medical,Dentistry; oral/maxillofacial surgery; wound healing; local drug delivery system; cartilage/bone tissue engineering,Marine biomaterials for tissue engineering,Molecule-Cell-Tissue,Biomaterials from corals/seashells/sea urchins,Technology pull,Direct,Review,,,, 
2019,"Millar-Haskell C.S., Dang A.M., Gleghorn J.P.",56891679000;57208652070;8905792200;,Biomedical Engineering; Chemistry and Biochemistry,Yes,Coupling synthetic biology and programmable materials to construct complex tissue ecosystems,MRS Communications,9,2,,421,432,,Scopus,10.1557/mrc.2019.69,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066748239&doi=10.1557%2fmrc.2019.69&partnerID=40&md5=e70987f89f2c52d0a77c780948c6404d,"Synthetic biology combines engineering and biology to produce artificial systems with programmable features. Specifically, engineered microenvironments have advanced immensely over the past few decades, owing in part to the merging of materials with biologic mimetic structures. In this review, the authors adapt a traditional definition of community ecology to describe cellular ecology, or the study of the distribution of cell populations and interactions within their microenvironment. The authors discuss two exemplar hydrogel platforms: (1) self-assembling peptide hydrogels and (2) poly(ethylene) glycol hydrogels and describe future opportunities for merging smart material design and synthetic biology within the scope of multicellular platforms. Copyright © Materials Research Society 2019.",,Article,2-s2.0-85066748239,Material Science,Physical,Review,Material science,Smart material design; synthetic biology; hydrogel,Expand synthetic biology to include engineered cellular microenvironments,Population-Community,Cell populations and interactions in microenvironemnts,Technology pull,Direct,Review,,,, 
2019,"Panda A., Pani S.",56537817500;7006867460;,Basic Sciences,No,An orthogonal symbiotic organisms search algorithm to determine approximate solution of systems ofordinary differential equations,Advances in Intelligent Systems and Computing,816,,,507,519,,Scopus,10.1007/978-981-13-1592-3_40,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058999790&doi=10.1007%2f978-981-13-1592-3_40&partnerID=40&md5=3776735d337e11b16c1eba46327e04ba,"Determining exact solution of systems of ordinary differential equations (ODEs) is a challenging task in many real-life problems of science and engineering. In this paper, an attempt is made to determine approximate solutions for such complicated ODEs. The Fourier series expansion is used as an approximator. The coefficients of Fourier series expansion are determined by nature-inspired algorithms. The Symbiotic Organism Search (SOS) is an evolutionary algorithm proposed by Cheng and Prayogo in 2014. It is inspired by natural phenomenon of organisms interaction in an ecosystem for their survival. Recently, Panda and Pani in 2017 reported an Orthogonal SOS (OSOS) algorithm by incorporating orthogonal array strategies in SOS, which enhances the exploration capability of original algorithm. Here, the OSOS algorithm is used to compute the coefficients of Fourier series. Simulation studies on two real-life examples using systems of ODEs reported superior performance of the proposed OSOS learning over the same model trained by three recently reported nature-inspired algorithms OCBO, OPSO, and WCA in terms of close response matching and minimal generalized distance achieved. © Springer Nature Singapore Pte Ltd. 2019.",Orthogonal array; Symbiotic organisms search; Systems of differential equation,Conference Paper,2-s2.0-85058999790,Engineering; Computer Science,Cyber,Hypothetical,Optimization,Orthogonal SOS (OSOS) algorithm; solving ODEs; Fourier expansion,OSOS: Orthogonal SOS,Population-Community,Heterogenous symbiotic organism groups (swarms),Technology pull,Indirect,Modeling/Simulation,,0,2, 
2018,Gonidakis D.,57202386024;,Informatics,No,Symbiotic organisms search algorithm for different economic load dispatch problems,International Journal of Bio-Inspired Computation,12,3,,139,151,,Scopus,10.1504/IJBIC.2018.094623,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053402894&doi=10.1504%2fIJBIC.2018.094623&partnerID=40&md5=74a0f9caab8bf691d30a77a10baaa391,Economic load dispatch (ELD) is an important topic in engineering management as it is associated with the efficient operation of an electric power generating system. The aim of ELD is to determine the generation dispatch among the thermal units such that the operating cost is minimised. This study presents a novel nature-inspired optimisation method called symbiotic organisms search (SOS) to solve various types of ELD problems. SOS imitates the interaction strategies adopted by organisms to survive in an ecosystem. The proposed method is applied to six different test systems in order to verify its effectiveness and robustness. The simulation results of the proposed SOS algorithm confirm its superiority over other successful optimisation approaches reported in recent literature. Copyright © 2018 Inderscience Enterprises Ltd.,Bio-inspired computing; Economic load dispatch; ELD; Engineering optimisation; Metaheuristics; SOS; Symbiotic organisms search; Valve-point loading,Article,2-s2.0-85053402894,Computer Science; Mathematics,Cyber,Actual,Physical Networks,Symbiotic organisms search (SOS) for economic dispatch in power systems,SOS,Population-Community,Heterogenous symbiotic organism groups (swarms),Technology pull,Indirect,Modeling/Simulation,,,, 
2018,"J. A.J., Ilamaran M., George A., George S.A., S. S.R., P. S.L., Aarthy M., Kamini N.R., Gunasekaran K., Ayyadurai N.",57202779078;16068818900;57200607592;57213788573;57202781930;57202779620;55636402800;6505895668;56234560600;18036699700;,Biochemistry and Biotechnology; Crystallography and Biophysics; Environmental Engineering,Yes,Biomimetic strategies to design metallic proteins for detoxification of hazardous heavy metal,Journal of Hazardous Materials,358,,,92,100,,Scopus,10.1016/j.jhazmat.2018.06.057,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049302268&doi=10.1016%2fj.jhazmat.2018.06.057&partnerID=40&md5=3d84ddfb805210e0b4dd658f98cc4ce6,"Discharge of hazardous heavy metals in to the environment poses a serious threat to the ecosystem owing to its non-degradability and indestructability. Physical and chemical techniques for the removal of heavy metals from industrial effluent is expensive and causes secondary pollution. On the other hand, biological processes using microorganisms play a vital role due to their large surface area to volume ratio, which increases the interactions with metal ions present in the environment. Here, we developed a third generation biological tool for the removal of heavy metal (copper) from the effluent through the biosynthesis of intracellular and surface displayed metallic proteins with novel metal co-ordination chemistry. We evaluated the cell viability for maximum heavy metal adsorption and metal tolerance of synthesized congener metallic proteins. Finally, to eliminate the cost associated with incorporation of metal binding aminoacid, we have introduced a genetic circuit in order to evolve a novel magnetotactic bacterium. The bioreactor studies of the consortia of metallic protein expressing cells immobilized on functionalized granular activated carbon revealed that 97% of copper was adsorbed from the industrial effluent. It is evident that the use of congener metallic proteins will be a futuristic approach for the treatment of wastewater facilitating environmental detoxification. © 2018",Biomimetic; congener protein; Copper; DOPA; Heavy metal; Protein modification,Article,2-s2.0-85049302268,Environmental Science,Physical,Actual,Environmental science,Wastewater treatment; heavy metal removal,Bioreactor,Molecule-Cell-Tissue,Microorganism proteins/peptides,Technology pull,Direct,Piloting/Implementation,Procedural,2,2, 
2018,"Parhizkar M., Di Marzo Serugendo G.",57144340500;23008033900;,Computing,No,Agent-based models for first- and second-order emergent collective behaviours of social amoeba Dictyostelium discoideum aggregation and migration phases,Artificial Life and Robotics,23,4,,498,507,,Scopus,10.1007/s10015-018-0477-3,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053873078&doi=10.1007%2fs10015-018-0477-3&partnerID=40&md5=0d18b1845f55366f9842195bca6262c4,"Collective behaviour in nature provides a source of inspiration for engineering artificial systems (e.g. robotics, ecosystems of services), due to their inherent mechanisms favouring adaptation to environmental changes and enabling complex emergent behaviour to arise from a relatively simple behaviour of individual entities. The first-order emergence, also referred to as swarm intelligence, is well studied, while higher order levels of emergent behaviour have not received much attention yet. Second-order emergent behaviour arises from the interactions of individuals, which are themselves the result of first-order emergent behaviour. Dictyostelium discoideum provides a compelling case for studying both first- and second-order emergence. Individual cells move around on their own when there is plenty of food. When food is scarce, cells self-aggregate towards a leading center cell (first-order emergent behaviour) to build a super-organism, similar to a slug. The slug displays properties that none of the cells has on its own (e.g. sensitivity to light and heat). It moves as a whole (second-order emergent behaviour) looking for a suitable place to transform into a fruiting body (also known as sporocarp), where later the cells resume their individual behaviour. This paper focuses specifically on the aggregation and migration phases of Dictyostelium discoideum. We present two agent-based models, implemented in Matlab for first order and Python for second order. They display a series of emergent properties, among others homogeneous aggregation territories size (first order) and merging of slugs or new property as sensitivity to light (second order). Future works involve implementing and experimenting both first- and second-order emergence in swarm robotics, and identification of design patterns for engineering higher order emergent behaviour in artificial systems. © 2018, ISAROB.",Bio-inspired swarm modelling; Dictyostelium discoideum; Higher order emergent behaviour; Multi-agent systems; Quorum sensing; Self-organisation,Article,2-s2.0-85053873078,"Computer Science; Biochemistry, Genetics and Molecular Biology",Cyber,Hypothetical,Modeling/Simulation,Swarm robotics; algorithms,1st/2nd order emergence models (slim mold),Population-Community,Dictyostelium discoideum; aggregation and migration; 1st and 2nd order interactions,Technology pull,Direct,Modeling/Simulation,Procedural,2,1, 
2018,"Sagita I.D., Whulanza Y., Dhelika R., Nurhadi I.",57200751468;36807053500;55536628000;56609777400;,Mechanical Engineering; Biomedical Engineering; Medical Physiology,Yes,Designing electrical stimulated bioreactors for nerve tissue engineering,AIP Conference Proceedings,1933,,40019,,,,Scopus,10.1063/1.5023989,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042357655&doi=10.1063%2f1.5023989&partnerID=40&md5=a1d7214b5d8dda77ee51d07b988a82ff,"Bioreactor provides a biomimetic ecosystem that is able to culture cells in a physically controlled system. In general, the controlled-parameters are temperature, pH, fluid flow, nutrition flow, etc. In this study, we develop a bioreactor that specifically targeted to culture neural stem cells. This bioreactor could overcome some limitations of conventional culture technology, such as petri dish, by providing specific range of observation area and a uniform treatment. Moreover, the microfluidic bioreactor, which is a small-controlled environment, is able to observe as small number of cells as possible. A perfusion flow is applied to mimic the physiological environment in human body. Additionally, this bioreactor also provides an electrical stimulation which is needed by neural stem cells. In conclusion, we found the correlation between the induced shear stress with geometric parameters of the bioreactor. Ultimately, this system shall be used to observe the interaction between stimulation and cell growth. © 2018 Author(s). Published by AIP Publishing.",biomimetic; bioreactor; cell stimulation; engineered micro ecosystem; neural stem cell,Conference Paper,2-s2.0-85042357655,Physics,Cyber-Physical,Actual,Bioengineering; Microfluidics,Bioreactor to culture neural stem cells,Bioreactor,Organism,Human body; physiologoical processes for neural cell environments,Technology pull,Direct,Piloting/Implementation,Procedural,1,2, 
2018,"Singh J., Dutta T., Kim K.-H., Rawat M., Samddar P., Kumar P.",57191242168;56457793700;56962774000;57192312315;57204447933;57225916418;,"Nanotechnology; Chemical, Biological and Macromolecular Sciences; Civil and Environmental Engineering; Nano Science and Materials",Yes,'Green' synthesis of metals and their oxide nanoparticles: Applications for environmental remediation,Journal of Nanobiotechnology,16,1,84,,,,Scopus,10.1186/s12951-018-0408-4,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055614909&doi=10.1186%2fs12951-018-0408-4&partnerID=40&md5=357618cb1ddab377ba11a3fdd11856c4,"In materials science, ""green"" synthesis has gained extensive attention as a reliable, sustainable, and eco-friendly protocol for synthesizing a wide range of materials/nanomaterials including metal/metal oxides nanomaterials, hybrid materials, and bioinspired materials. As such, green synthesis is regarded as an important tool to reduce the destructive effects associated with the traditional methods of synthesis for nanoparticles commonly utilized in laboratory and industry. In this review, we summarized the fundamental processes and mechanisms of ""green"" synthesis approaches, especially for metal and metal oxide [e.g., gold (Au), silver (Ag), copper oxide (CuO), and zinc oxide (ZnO)] nanoparticles using natural extracts. Importantly, we explored the role of biological components, essential phytochemicals (e.g., flavonoids, alkaloids, terpenoids, amides, and aldehydes) as reducing agents and solvent systems. The stability/toxicity of nanoparticles and the associated surface engineering techniques for achieving biocompatibility are also discussed. Finally, we covered applications of such synthesized products to environmental remediation in terms of antimicrobial activity, catalytic activity, removal of pollutants dyes, and heavy metal ion sensing. © 2018 The Author(s).",Green synthesis; Metal oxide nanoparticles; Metals; Natural extracts,Review,2-s2.0-85055614909,"Engineering; Biochemistry, Genetics and Molecular Biology; Chemical Engineering; Medicine; Pharmacology, Toxicology and Pharmaceutics",Physical,Review,Chemical,Synthesized materials products,Green synthesize of nanoparticles,Molecule-Cell-Tissue,Natural synthesis processes: biological components; essential phytochemical,Both,Direct,Review,,,, 
2017,"Chen L., Chai B., Liang M., Wang F.",57194713305;23093304400;57194696713;56152763300;, Environmental Studies; Geology,Yes,"Engineering study on reclamation of Maweishan iron mine slag wasteland in Huangmei, Hubei, China",Chinese Journal of Environmental Engineering,11,3,,1966,1974,,Scopus,10.12030/j.cjee.201511205,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021746830&doi=10.12030%2fj.cjee.201511205&partnerID=40&md5=d8729f99551e8823f95dbc9a64e46223,"Reclamation of the mine slag wasteland is the core of geological environment treatment in mining. Taking the Maweishan iron mine slag wasteland in Huangmei as an example, this paper discusses how to reuse the mine slag using the natural ecological system reconstruction method for mine slag wasteland reclamation. Based on the investigation of the dominant plants, root distribution and the geo-environment of this mine area, experimental analyses of the mine slags, background soil and pit water were carried out. The design parameters of the mine slope stability, vegetative actuality, soil conditions and water quality status etc. were determined. The theories of bionics were taken as guidance in this engineering design. Crushed stones with a diameter bigger than 5 cm were eliminated through slag screening, following which the slag structure was improved. The particle structure and fertility of the improved slag soil were close to the natural soils, once the organic fertilizer was applied. Moreover, the crushed stones which were eliminated earlier can be used as materials for support and soil retaining projects, as well as slope protection projects. The problems of unstable slopes and soil erosion can thus be simultaneously solved. While designing the vegetation, the structure of natural ecosystem was considered and dominant plants were chosen. Then, the soil matrix improvement depth was determined based on the root distribution. This design is more economical than the traditional methods which include covering with new soil and using stone masonry for retaining walls. This design has guidance value for reclamation of similar slag wasteland in open pit mines. © 2017, Science Press. All right reserved.",Ecological restoration; Engineering design; Land reclamation; Mine slag wasteland,Article,2-s2.0-85021746830,Environmental Science,Physical,Actual,Environmental science,Mine slag wasteland reclamation,Mine slag at real site,Ecosystem,Cyclical processes; recycling,Technology pull,Indirect,Piloting/Implementation,Procedural,1,2, 
2017,"Gholami-Shabani M., Gholami-Shabani Z., Shams-Ghahfarokhi M., Jamzivar F., Razzaghi-Abyaneh M.",56054533400;56054864000;55962153500;57196448548;8564641800;,Mycology; Nanobiotechnology; Aerospace,Yes,Green nanotechnology: Biomimetic synthesis of metal nanoparticles using plants and their application in agriculture and forestry,Nanotechnology: An Agricultural Paradigm,,,,133,175,,Scopus,10.1007/978-981-10-4573-8_8,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033328861&doi=10.1007%2f978-981-10-4573-8_8&partnerID=40&md5=87b45ff05a05074f44aaed5cb25cfe6d,"Biomimetic nanotechnology is an outstanding investigation area at the meeting place of life sciences with physics and engineering. It is an uninterrupted emerging field that deals with knowledge transfer from biology to nanotechnology. Biomimetic nanotechnology is a scope that has the potential to support extensively successful mastering of major global challenges and solve the problems. Metallic nanoparticles are being utilized in every phase of science along with engineering, including agriculture fields, and are still charming the scientists to explore new dimensions for their respective worth, which is generally credited to their corresponding small sizes. The up-and-coming researches have proven their antimicrobial significance. The present chapter is devoted to the possibility of metal nanoparticle synthesis using plant extracts and microorganisms. This approach has been actively pursued in recent years as an alternative, efficient, low-cost, and environmentally safe technique for producing nanoparticles with specified properties. The main attention is on the role of the natural plant biomolecules involved in the bioreduction of metal salts during the nanoparticle synthe sis. Moreover, attempts to apply nanotechnology in agriculture began with the growing realization that conventional agriculture technologies would neither be able to grow productivity any further nor restore ecosystems damaged by existing technologies back to their pristine situation, in particular because the long-term effects of farming with ""miracle seeds,"" in conjunction with pesticides, irrigation, and fertilizers, have been questioned both at the scientific and policy levels and must be steadily phased out. Nanotechnology in agricultural science has gained momentum in the past decade with a plenty of public funding, but the pace of growth is modest, even though many disciplines come under the umbrella of agriculture. This could be credited to a unique nature of farm production, which functions as an open system whereby energy and material are swapped freely; the scale of request of input materials is gigantic in contrast with industrial metal nano-products; an absence of control over the input nanomaterials in contrast with industrial nano-products (e.g., the cell phone) and because their fate has to be conceived on the geosphere (pedosphere), hydrosphere, biosphere, and atmosphere continuum; the time delay of emerging technologies reaching the farmers' field, specifically given that many emerging economies are reluctant to spend on innovation; and the lack of foresight subsequent from agricultural education not having attracted an enough number of clear minds the world over, whereas personnel from kindred disciplines might absence an understanding of agricultural production methods. If these issues are taken care of, nanotechnological impact in farming has bright views for improving the efficiency of nutrient use through nano-formulations of fertilizers, breaking yield obstacles through bionanotechnology, surveillance, and control of ""pests and diseases,"" apprehension mechanisms of host-parasite interactions at the cellular and molecular levels, growth of new-generation pesticides and their carriers, packaging and preservation of foodstuff and food additives, strengthening of natural fibers, removal of contaminants from water and soil, improving the shelf life of flowers and vegetables, clay-based nanoresources for reclamation of salt-affected soils, precision water management, and stabilization of erosion-prone surfaces to name a few. © Springer Nature Singapore Pte Ltd. 2017.",Agriculture; Biomimetics; Nanobiotechnology; Nanoparticles; Natural products; Plant extracts,Book Chapter,2-s2.0-85033328861,Engineering; Environmental Science; Material Science; Agricultural and Biological Sciences,Physical,Review,Chemical; Nanoparticles,Nano-formulations of fertilizers,Nanoparticle synthesis using plants,Molecule-Cell-Tissue,Metal nanoparticle synthesis using plant extracts and microorganisms,Technology pull,Direct,Review,,,, 
2017,"Kazakidi A., Tsakiris D.P., Ekaterinaris J.A.",26644221100;7006082622;7003772964;,Biomedical Engineering; Computer Science; Aerospace Engineering,Yes,Impact of Arm Morphology on the Hydrodynamic Behavior of a Two-arm Robotic Marine Vehicle,IFAC-PapersOnLine,50,1,,2304,2309,,Scopus,10.1016/j.ifacol.2017.08.231,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031766183&doi=10.1016%2fj.ifacol.2017.08.231&partnerID=40&md5=e5e696e3309aef5148249fcaf37ab45b,"Increasing the functionality and efficiency of small underwater marine robotic systems has been a significant challenge, particularly regarding their use in tasks requiring enhanced maneuverability, long-distance travel and delicate underwater manipulation of objects. In this paper, we explore the impact of bio-inspired arm morphology on underwater propulsion, through examination of the generated hydrodynamic forces and the corresponding complex vortical patterns in the wake of a novel two-arm underwater robotic swimmer, inspired by the octopus arm-swimming behavior. We demonstrate for the first time, via detailed modelling and CFD studies, the use of a variety of slender arm morphologies as thrust actuators in a system that can achieve forward propulsion, by the slow opening and rapid closing of these arms (“arm sculling”), while minimizing the lateral excursion of the system. Robotic prototypes, based on such principles, have already been used by our group to observe marine ecosystems, without disturbing them as much as current ROVs. Further applications of such robotic systems could be envisioned in future medical rehabilitation studies. © 2017",Biologically-Inspired Robots; Computational Fluid Dynamics (CFD); Marine Robotics; Marine system identification; modelling; Unmanned marine vehicles,Conference Paper,2-s2.0-85031766183,Engineering,Cyber-Physical,Actual,Robotics,Small underwater marine robotic systems,Robot,Organism, Octopus arm-swimming behavior,Technology pull,Direct,Modeling/Simulation,,0,1, 
2017,"Onoda M., Preethichandra D.M.G.",7202766183;6507159407;,Engineering,No,Detection of environmental pollutants with oxidoreductases,Proceedings of the International Symposium on Electrical Insulating Materials,2,,,449,452,,Scopus,10.23919/ISEIM.2017.8166527,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041906998&doi=10.23919%2fISEIM.2017.8166527&partnerID=40&md5=65d87f63c82510956297ac575ef1cc1b,"Biomimetics is an engineering activity which aims to convert principles of biological function into human technology. A bio-device using information transfer-conversion system of the creature is a biosensor. Organic materials are quite fascinating due to availability of many metastable states which is considered to play a pivotal role for the next-generation electronics. Especially, ""Organic Iontronics"" which are dealing with the devices and applications using functions of ions etc. attracts much attention. The word ""Iontronics"" is still unfamiliar words and has been created by the fusion of two words ""Ion"" and ""Electronics"". The most familiar area biotechnology which is based on amicable use of unique biological function towards betterment of human life and environmental conservation cannot deny the important role played by the ions. Hydrogen peroxide (H2O2) is a commonly used chemical in industries such as pharmaceutical, food, plastic processing, cosmetics, and cleaning. Higher concentration of H2O2 can cause serious damage to skin if direct contact has been made. It is highly possible that hydrogen peroxide being released to the natural environment through these industrial processes. Even low concentrations of H2O2 can change the ecosystem balance beyond acceptable limits in the long term if it is added to natural water streams. H2O2 is not only has its presence in industrial waste, but also in many biological processes such as highly selective enzyme catalytic reactions. The concentrations in these biological processes are very small and therefore it is very important to measure H2O2 in low concentrations accurately. About a novel technique of developing a nano-structured polypyrrole biosensor for measurement of very low concentrations of hydrogen peroxide in liquid media has been discussed. The proposed fabrication method is very effective in growing a nano-structured conductive polymer layer on a plannar conducting substrate. In addition, enzyme loading was done under a high electric field of 1 kV/m. The developed sensor provides a linear range of 0-200 μmol/l of hydrogen peroxide and a measurement sensitivity of 6.5 Acm-(mol/l)-. © 2017 Institute of Electrical Engineers of Japan. All rights reserved.",Biosensor; Electrophoretic adsorption; Enzyme immobilization; Hydrogen peroxide; Polypyrrole; Pulsed deposition,Conference Paper,2-s2.0-85041906998,Engineering; Material Science,Cyber-Physical,Actual,Bioengineering,Biosensor to measure hydrogen perodixde (toxic),Nano-structured biosensor for H2O2,Organ-Organ System,Organ system cybernetics; organism information transfer-conversion system,Technology pull,Direct,Piloting/Implementation,Procedural,1,2, 
2016,"Bakshi B.R., Gopalakrishnan V., Liu X., Hanes R., Grubb G.F.",7004361932;57069710200;57194192915;56423492600;23992185700;,Chemical and Biomolecular Engineering,No,Nature in engineering: Expanding the engineering design space by including ecosystem goods and services,Computing and Systems Technology Division 2016 - Core Programming Area at the 2016 AIChE Annual Meeting,,,,468,470,,Scopus,,https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019151662&partnerID=40&md5=e86fde6b6a93dcc88f5fb68f57ba498b,"Currently, most engineering design methods ignore the role played by nature in supporting engineering systems. Analogous to economic systems, ecological systems also include limits on the stocks of ecosystems goods and services. These can include limits on the availability of ecological resources like fossil fuels, minerals, biomass, fiber and feed, as well as limits on the provisioning of ecosystem services like carbon sequestration, water provisioning, nutrient cycling etc. Ignoring these limits while designing systems have resulted in several unintended consequences, resulting in ecological degradation. For instance, switching farming practices to more intensive agricultural habits to increase crop yield has resulted in harmful algal blooms in Lake Erie due to fertilizer runoff from farms. In the engineering context, the main focus of conventional design has been to maximize profitability while simultaneously minimizing environmental impacts. Accounting for the role of nature in engineering has been confined to ideas like Biomimicry [1] and Eco-technology [2] such as the use of wetlands for water treatment. However, these methods lack proper integration with concepts of engineering design and such methods do not necessarily identify possible synergies and trade-offs that exist between engineered systems and nature. In addition, all these approaches also neglect the ecological carrying capacity, thus resulting in an increase in disparity between the demand for ecological goods and services and their supply from nature. The Techno-Ecological Synergy (TES) framework [3] was developed to account for the carrying capacity of ecosystems by quantifying the demand and supply of ecosystem services (ES). Resource inputs for operating engineering systems creates a demand for ecological goods while the emissions, waste and wastewater generated by engineering systems creates a demand for ecosystem services. The supply of ecosystem goods and services is based on the capacity of an ecological system, in the vicinity of an engineering system to provide the necessary ES demanded by the process. The sustainability index for this framework is based on the difference in the supply and demand for ES. This work integrates the TES framework with concepts of engineering design, resulting in the design of integrated Techno-Ecological systems. The TES design framework accounts for both demand and supply of ecosystem services while designing systems and the objective is to maximize profitability and minimize the disparity between the demand and supply of ES. Thus, the problem focuses on reducing both demand and increasing supply by preservation and restoration of ecological systems, in contrast to conventional approaches of merely minimizing demand. The presentation conveys the significance of including the role of nature in supporting engineering design. This is indicated by demonstrating that including nature in the design problem expands the solution space of conventional engineering design resulting in the identification of plausible ""win-win"" scenarios. Design problems are formulated as multi-objective optimization problems, with the objective of maximizing the economic value of the system and maximizing the sustainability index. Trade-offs between these objectives are identified by scalarizing multiple objectives using the epsilon constraint methods. Tradeoff designs are obtained for different ecosystem services, depending on the type of service relevant to the system of interest and the spatial presence of ecological systems. Four diverse case studies are discussed to demonstrate the significance of including nature in engineering. The first study describes the design of a residential system accounting for ecosystems like trees, lawn and a vegetable garden. While designing a residential systems, technological, ecological and behavioural variables are considered in the design. The objectives are to minimize both the cost compared to basecase and carbon emission. The problem is formulated as a simulation-based Mixed Integer Linear Program (MILP) using EnergyPlus as the simulation engine. The second study discusses the design of a biosolids network flow system along with the design of ecological systems that supply carbon sequestration ecosystem services, like timberland, forest lands and geological sequestration. Superstructure of possible biosolid flow pathways along with possible pathways for carbon sequestration are identified, and optimal designs of these coupled Techno-Ecological networks are determined by minimizing the network cost and minimizing the difference between carbon sequestration service demand and supply. The entire problem is formulated and solved as a MILP in the Eco-Flow tool. In addition, feedback from ecosystems in terms of biomass from timberland is considered as a feedstock for supplying energy to the wastewater treatment sites. Third study describes the benefits of including ecosystems in a process engineering design context whereby ecological systems are included in engineering design analogous to unit operations. An integrated design of a biofuel system with a wetland ecosystem is discussed wherein the system is design to maximize provisioning of ecosystem services like water provisioning service and water quality regulation service, while maximizing the net present value. The problem is formulated as an Non Linear Program implemented in GAMS. The last study focuses on designing agricultural landscapes for producing energy and food, while accounting for services provided by agro-ecosystems. These services include carbon sequestration, water provisioning, and others. The trade-off between monetary objectives and costs are evaluated for various biofuel production alternatives. Non-inferior pareto frontiers are generated for each ecosystem service for all case studies. Results indicate that including ecological variables in the design results in possible solutions that do not exist in the techno-centric solution space of conventional engineering methods. In addition to this, accounting feedback flows from ecosystems in terms of ecological goods shifts the Pareto frontier to a new range, revealing innovative and novel design solutions. These new solutions obtained from including ecological systems are economically superior compared to conventional solutions; they also have environmental benefits in terms of reduced overshoot. Copyright © American Institute of Chemical Engineers. All rights reserved.",,Conference Paper,2-s2.0-85019151662,Engineering; Computer Science; Chemical Engineering,Cyber-Physical,Hypothetical,Buildings/Built Environment,Residential community with trees/lawn/gardens,TES Framework: Techno-Ecological Synergy,Ecosystem,Demand/supply ecosystem services; carying capacity,Technology pull,Indirect,Modeling/Simulation,Procedural,2,1, 
2016,"Garcia-Holguera M., Clark O.G., Sprecher A., Gaskin S.",56423631200;10440695500;50861784000;6603920363;, Bioresource Engineering; Architecture; Civil Engineering,Yes,Ecosystem biomimetics for resource use optimization in buildings,Building Research and Information,44,3,,263,278,,Scopus,10.1080/09613218.2015.1052315,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958185718&doi=10.1080%2f09613218.2015.1052315&partnerID=40&md5=4f09dd54d3a85ad480522dd347625bba,"An ecomimetic method is developed as an innovative and transdisciplinary design approach rooted in the field of biomimetics. This new method emulates the interrelated complexity of the parts of an ecosystem with the intent to design buildings that are more efficient, effective and holistic. Ecomimetics refers to the design of buildings that mimic ecosystem processes and functions. This approach provides potential opportunities for climate change adaptation and mitigation by optimizing the use of resources in buildings. One challenge to the application of ecomimetics in architecture is the lack of systematic methods supported by scientific research, which may prevent development in this field. A theoretical basis and the initial development of an ecomimetic design method is presented, with a description of each step of the design process. Ecological systems are selected for functional properties that match architectural design goals, and then design tools are used to abstract and transfer those properties to architectural systems. The design tools integrated in the method are from the fields of ecological engineering, systems dynamics and architecture. The case of the Eastgate Center in Harare, Zimbabwe, is used to illustrate the method. © 2015 Taylor & Francis.",biomimetics; biomimicry; design process; ecological design; ecomimetics; sustainable design; systems thinking,Article,2-s2.0-84958185718,Engineering,Cyber-Physical,Actual,Buildings/Built Environment,Eastgate Center in Harare Zimbabwe,Ecomimetic method,Ecosystem,Ecological systems - properties,Technology pull,Direct,Modeling/Simulation,Procedural,2,1, 
2016,"Layton, A; Bras, B; Weissburg, M",N/A,Mechanical Engineering; Biology,Yes,Designing Industrial Networks Using Ecological Food Web Metrics,ENVIRONMENTAL SCIENCE & TECHNOLOGY,50,20,,11243,11252,10,Web of Sci,10.1021/acs.est.6b03066,,"Biologically Inspired Design (biomimicry) and Industrial Ecology both look to natural systems to enhance the sustainability and performance of engineered products, systems and industries. Bioinspired design (BID) traditionally has focused on a unit operation and single product level. In contrast, this paper describes how principles of network Organization derived from analysis of ecosystem properties can be applied to industrial system networks. Specifically, this paper examines the applicability of particular food web matrix properties as design rules for economically and biologically sustainable industrial networks, using an optimization model developed for a carpet recycling network. Carpet recycling network designs based on traditional cost and emissions based optimization are compared to designs obtained using optimizations based solely. on ecological food web metrics. The analysis suggests that networks optimized using food web metrics also were superior from a traditional cost, and emissions perspective; correlations between optimization using ecological metrics and traditional optimization ranged generally from 0.70:to 0.96, with flow-based metrics being superior to structural parameters. Four structural food parameters provided correlations nearly the same as that obtained using all structural parameters, but individual structural parameters provided much less. satisfactory correlations. The analysis indicates that bioinspired design principles from ecosystems can lead to both environmentally and economically sustainable industrial resource networks, and represent guidelines for designing sustainable, industry networks.",,Article,WOS:000385907200054,Engineering; Environmental Sciences & Ecology,Cyber-Physical,Actual,Physical Networks,Industrial resource networks (carpet recycling network),Food-web based optimization,Ecosystem,Food web matrices,Technology pull,Indirect,Modeling/Simulation,Procedural,2,2, 
2016,"Marx U., Andersson T.B., Bahinski A., Beilmann M., Beken S., Cassee F.R., Cirit M., Daneshian M., Fitzpatrick S., Frey O., Gaertner C., Giese C., Griffith L., Hartung T., Heringa M.B., Hoeng J., De Jong W.H., Kojima H., Kuehnl J., Leist M., Luch A., Maschmeyer I., Sakharov D., Sips A.J.A.M., Steger-Hartmann T., Tagle D.A., Tonevitsky A., Tralau T., Tsyb S., Van De Stolpe A., Vandebriel R., Vulto P., Wang J., Wiest J., Rodenburg M., Roth A.",35551319800;7202483594;6603906683;6507712964;6602719719;6701458488;36827907400;8519769700;7102207123;57206132846;57076445200;14829083200;7102391496;7005429459;6603828869;16202509100;7201947500;23667930800;55664370300;7005865830;7003265965;57115551100;36841286800;7006376241;6603592872;35381189700;35584579500;6602418641;57190345930;6701475858;24455473900;9332533100;55808068900;8423234600;57190346089;7403051205;, Cardiovascular and Metabolic Diseases; Tissue Engineering; Physiology and Pharmacology; Biologically Inspired Engineering; Medicines and Health Products; Public Health and the Environment; Risk Assessment Science; Food Safety and Applied Nutrition; Biosystems Science and Engineering; Chemical Engineering; Animal Testing; Toxicology; Medical Radiological; Human Organ and Disease Model Technologies; Safety Evaluation of Drugs,Yes,Biology-inspired microphysiological system approaches to solve the prediction dilemma of substance testing,Altex,33,3,,272,321,,Scopus,10.14573/altex.1603161,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979255712&doi=10.14573%2faltex.1603161&partnerID=40&md5=1fe701065f93bfa1e4610d6a18bd92db,"The recent advent of microphysiological systems-microfluidic biomimetic devices that aspire to emulate the biology of human tissues, organs and circulation in vitro-promises to enable a global paradigm shift in drug development. An extraordinary US government initiative and various dedicated research programs in Europe and Asia recently have led to the first cutting-edge achievements of human single-organ and multi-organ engineering based on microphysiological systems. The expectation is that test systems established on this basis will model various disease stages and predict toxicity, immunogenicity, ADME profiles and treatment efficacy prior to clinical testing. Consequently, this technology could significantly affect the way drug substances are developed in the future. Furthermore, microphysiological system-based assays may revolutionize our current global programs of prioritization of hazard characterization for any new substances to be used, for example, in agriculture, food, ecosystems or cosmetics, thus replacing the use of laboratory animal models. Here, thirty-six experts from academia, industry and regulatory bodies present the results of an intensive workshop (held in June 2015, Berlin, Germany). They review the status quo of microphysiological systems available today against industry needs, and assess the broad variety of approaches with fit-for-purpose potential in the drug development cycle. Feasible technical solutions to reach the next levels of human biology in vitro are proposed. Furthermore, key organ-on-a-chip case studies as well as various national and international programs are highlighted. Finally, a roadmap into the future towards more predictive and regulatory-accepted substance testing on a global scale is outlined.",Drug testing; In vitro models; Microphysiological systems; Organ-on-a-chip; Predictive toxicology,Article,2-s2.0-84979255712,"Pharmacology, Toxicology and Pharmaceutics",Physical,Review,Medical; Microfluidics,Drug development (microphysiological systems-microfluidic biomimetic devices),Microfluidic biodevices,Organ-Organ System,Human tissue; organ; circulation,Technology pull,Direct,Review,,,, 
2016,"Zeng S., Zhang D., Huang W., Wang Z., Freire S.G., Yu X., Smith A.T., Huang E.Y., Nguon H., Sun L.",56423110300;55818793800;57190180558;35216898800;57190166132;35094897300;57190165105;57190173272;57190163585;10839207900;, Chemical and Biomolecular Engineering; Mechanical Engineering; Electrical Engineering; Materials and Energy,Yes,Bio-inspired sensitive and reversible mechanochromisms via strain-dependent cracks and folds,Nature Communications,7,,11802,,,,Scopus,10.1038/ncomms11802,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978062249&doi=10.1038%2fncomms11802&partnerID=40&md5=74663552821d24b92043e84110ee8310,"A number of marine organisms use muscle-controlled surface structures to achieve rapid changes in colour and transparency with outstanding reversibility. Inspired by these display tactics, we develop analogous deformation-controlled surface-engineering approaches via strain-dependent cracks and folds to realize the following four mechanochromic devices: (1) transparency change mechanochromism (TCM), (2) luminescent mechanochromism (LM), (3) colour alteration mechanochromism (CAM) and (4) encryption mechanochromism (EM). These devices are based on a simple bilayer system that exhibits a broad range of mechanochromic behaviours with high sensitivity and reversibility. The TCM device can reversibly switch between transparent and opaque states. The LM can emit intensive fluorescence as stretched with very high strain sensitivity. The CAM can turn fluorescence from green to yellow to orange as stretched within 20% strain. The EM device can reversibly reveal and conceal any desirable patterns.",,Article,2-s2.0-84978062249,"Biochemistry, Genetics and Molecular Biology; Physics; Chemistry",Physical,Actual,Material science,Mechanochromic devices,Mechanochromisms,Organ-Organ System,Muscle-controlled surface structures of marine organisms,Biology push,Direct,Piloting/Implementation,Procedural,1,2, 
2015,"Ajith A.M., Sachin K.S., Sudheer A.P.",55606787900;57196017888;49362153500;, Robotics; Mechanical Engineering,Yes,"Design, fabrication and analysis of a bio-inspired tuna Fish Robot",ACM International Conference Proceeding Series,02-04-July-2015,,a54,,,,Scopus,10.1145/2783449.2783503,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959272513&doi=10.1145%2f2783449.2783503&partnerID=40&md5=39c21dfc70fb69106cc20560b62887c8,"The dangers offered by the contemporary underwater propulsion system based on rotary thrusters on the marine ecosystem has expedited the research in the field of underwater robotics to find an eco-friendly alternative for underwater locomotion. The turbulences, noise and cavitation effects causes by the heavy impellers pose serious threats to the aquatic organisms, sometimes even killing them. A bio-inspired tuna fish robot was designed, fabricated and analysed so that it replicates the real fish, both in shape and body movements used for locomotion. Special attention was given to impart a streamlined body for the fish robot for the minimisation of the drag force while swimming. The robot was tested in the pool for forward propulsion, turning motion and depth control. Different body wave equations were used and the robot was found to swim along with the real fishes without driving them off. This eco-friendly behavior of the robot makes it suitable for underwater researches. © 2015 ACM.",BCF propulsion; Biomimetic robot; Body wave; Fish Robot; Propulsion,Conference Paper,2-s2.0-84959272513,Computer Science,Cyber-Physical,Actual,Robotics,Bio-inspired tuna fish robot,Robot,Organism,Tuna fish,Technology pull,Direct,Piloting/Implementation,Procedural,1,2, 
2015,"Best, BB; Swadek, RK; Burgess, TL",N/A,Botanical Research; Parks and Recreation; Environmental Studies,Yes,Soil-Based Green Roofs,GREEN ROOF ECOSYSTEMS,223,,,139,174,36,Web of Sci,10.1007/978-3-319-14983-7_6,,"Although typically eschewed in favor of engineered substrate, natural soils can provide an important ecological benefit for green roof systems in terms of jump-starting a viable habitat. They can act as fungal and microbial inoculants and can serve as an additional source of plants and insects (via seed banks, eggs, and larvae), presumably of species that naturally coexist. Even when no longer biologically active, natural soils can still benefit roof systems by mimicking the mineral-based properties of the natural habitat of a particular plant palette. However, concerns of fine particle illuviation, increased roof loading, and unpredictable biological activity dampen use of natural soils on green roofs. This chapter discusses the pros and cons of natural soils versus engineered substrates and how their properties can affect green roof systems. A single case study is also presented of the soil-based green roof at the Botanical Research Institute of Texas in Fort Worth (USA) that used a mixed engineered substrate-natural living soil system to model a local short-grass limestone prairie barrens ecosystem.",Biomimicry; Engineered substrate; Habitat template; Living soil; Natural soil; Prairie barrens; Seedbank; Soil inoculant; Soil-based roof,Book Chapter,WOS:000368109000007,Environmental Sciences & Ecology; Agriculture,Physical,Actual,Buildings/Built Environment,Botanical Research Institute of Texas in Fort Worth,Green roof,Ecosystem,local short-grass limestone prairie barrens ecosystem,Technology pull,Direct,Piloting/Implementation,Procedural,2,2, 
2015,"Kim, J; Tanner, K",N/A,Cancer Research; Nano Systems,Yes,Recapitulating the tumor ecosystem along the metastatic cascade using 3D culture models,FRONTIERS IN ONCOLOGY,5,,170,,,14,Web of Sci,10.3389/fonc.2015.00170,,"Advances in cancer research have shown that a tumor can be likened to a foreign species that disrupts delicately balanced ecological interactions, compromising the survival of normal tissue ecosystems. In efforts to mitigate tumor expansion and metastasis, experimental approaches from ecology are becoming more frequently and successfully applied by researchers from diverse disciplines to reverse engineer and re engineer biological systems in order to normalize the tumor ecosystem. We present a review on the use of 3D biomimetic platforms to recapitulate biotic and abiotic components of the tumor ecosystem, in efforts to delineate the underlying mechanisms that drive evolution of tumor heterogeneity, tumor dissemination, and acquisition of drug resistance.",tumor microenvironment; 3D culture models; ecology; biomaterials and nanotechnology; hydrogels,Article,WOS:000359153700001,Oncology,Physical,Review,Medical,Tumor and other cells in the extracellular matrix,3D biomimetic platforms,Ecosystem,Ecosystem niche dynamics; colonization; niche construction,Technology pull,Direct,Review,,,, 
2014,"Colomer-Cugat, MA; Garcia-Quismondo, M; Macias-Ramos, LF; Martinez-del-Amor, MA; Perez-Hurtado, I; Perez-Jimenez, MJ; Riscos-Nunez, A; Valencia-Cabrera, L",N/A,Mathematics; Computer Science and Artificial Intelligence,Yes,Membrane System-Based Models for Specifying Dynamical Population Systems,APPLICATIONS OF MEMBRANE COMPUTING IN SYSTEMS AND SYNTHETIC BIOLOGY,7,,,97,132,36,Web of Sci,10.1007/978-3-319-03191-0_4,,"Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modelling framework, which has been successfully used for modelling population dynamics on real ecosystems. The semantics of these systems is captured by the Direct distribution based on Consistent Blocks Algorithm (DCBA), which has been engineered into software simulation tools. In particular, MeCoSim (Membrane Computing Simulator) is a GUI developed in the framework of P-Lingua that can be used as a simulation environment for running virtual experiments. The parameters of each scenario to be simulated can be easily adjusted in a visual way, as well as the settings for the desired output format, thus facilitating the validation of the designed models against real data. The simulation of PDP systems is data intensive for large models. Therefore, the development of efficient simulators for this field is needed. In fact, the computational power of GPUs is currently being used to accelerate simulations of PDP systems. We illustrate the modelling framework presented with a case study concerning pandemics.",,Book Chapter,WOS:000385966600005,Computer Science; Mathematical & Computational Biology,Cyber,Hypothetical,Modeling/Simulation,Pandemic simulation; population Dynamics P system (PDP),PDP systems: Population Dynamics P systems,Population-Community,Population dynamics,Technology pull,Indirect,Modeling/Simulation,,0,2, 
2014,"Cui, L; Cheong, P; Adams, R; Johnson, T",N/A,Mechanical Engineering,No,AmBot: A Bio-Inspired Amphibious Robot for Monitoring the Swan-Canning Estuary System,JOURNAL OF MECHANICAL DESIGN,136,11,115001,,,8,Web of Sci,10.1115/1.4028094,,"This paper describes the AmBot, a centipede-inspired amphibious robot for monitoring the Swan-Canning River, the most important estuary system in Western Australia. The major challenge in developing such a robot lies in that the limited physical size of the robot allows only one type of propulsion system to be used both on land and on water. This is in contrast to large amphibious robots that use wheels or track systems when on land and switch to propellers when on water. The focus of this paper is on the design of a single propulsion method suited to a small-sized amphibious robot. To achieve this, centipede-inspired tracks were engineered with each track-piece consisting of an aluminum base and a polystyrene-block float. It was hypothesized that tracks fixed with floats might be able to provide effective actuation both on land and on water for small-sized robots. When on water, the tracks provide propulsion force and buoyancy so that the waterline is well controlled. When on land, the tracks effectively spread the contact force across multiblocks, leading to effective actuation and low pressure on the sandy terrain, hence protecting the beach ecosystem. Finite element analysis (FEA) was applied to optimize the main components of the AmBot for weight reduction without sacrificing functionality and safety. The AmBot uses an Android-based remote-control system via the Internet, where the accelerometer, gyroscope, global positioning system (GPS), and camera on the Android device provide integrated navigation and monitoring sensing. A prototype was developed to validate the proposed design by conducting empirical studies.",,Article,WOS:000343056300013,Engineering,Cyber-Physical,Actual,Robotics,AmBot: a centipede-inspired amphibious robot,Robot,Organism,Centipede,Technology pull,Direct,Piloting/Implementation,,0,2, 
2014,"Drouant N., Rondeau É., Georges J.-P., Lepage F.",56160912200;8850078800;8421862400;7004545008;, Automatic Control/Information Sciences and Technologies,No,Designing green network architectures using the ten commandments for a mature ecosystem,Computer Communications,42,,,38,46,,Scopus,10.1016/j.comcom.2014.01.005,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900653219&doi=10.1016%2fj.comcom.2014.01.005&partnerID=40&md5=a22859ddc98e9d20a8ac5a19b76e386b,"The Climate Group notes that energy consumption by ICT activities represented 2% of global human activity in 2009 (Smart, 2012) [1]. ICT is therefore a sector contributing both to natural resource depletion and to greenhouse gas emission. Moreover, ICT generates considerable quantities of electronic waste, it emits radio waves (including GSM and WiFi) that can adversely affect human and animal health, and it can have an impact on the natural beauty of the landscape (e.g. antennas). A new challenge for ICT engineers is therefore to be able to design ICT more efficiently by considering environmental constraints. In the ecology domain, Benyus' book ""Biomimicry"" (Benyus, 2002) [2] proposed ten commandments for mature ecosystems. The objective of this paper is to apply these commandments to ICT, by focusing on green network architecture design. The main developments in this research are the proposed relationships between the ten commandments and the networking domain and metrics for assessing both the project-system and the system-of-interest when designing green network architectures. © 2014 Elsevier B.V. All rights reserved.",Biomimicry; Green networking; Mature ecosystems; Network architecture designing; System engineering,Article,2-s2.0-84900653219,Computer Science,Cyber-Physical,Hypothetical,Computer networks,ICT; network architecture design,Green architecture design methodology,Ecosystem,Indirect: Benyus 10 commandments,Technology pull,Indirect,Modeling/Simulation,Toolbox,2,2, 
2014,"Garcia-Holguera M., Clark G., Sprecher A., Gaskin S.",56423631200;10440695500;50861784000;6603920363;, Bioresource Engineering; Architecture; Civil Engineering,Yes,Ecomimetics: Ecological engineering tools for resource use optimization in buildings,"American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014",5,,,3338,3350,,Scopus,,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911472271&partnerID=40&md5=85c167fd9376e6347e6d8e8a13b2b96c,"Ecomimetics is a branch of biomimetics which consists on the transfer of knowledge from ecosystems to engineering and design fields. In the architectural field the use of an ecomimetic approach has considerable potential in addressing environmental issues such as climate change and resource use. However, one challenge being faced is the lack of systematic methods for developing ecomimetic research in the architectural field. Therefore the research presented here pursues the development of an ecomimetic methodology in order to optimize resource use in buildings. The methodology presented here is characterized by its transdisciplinarity, and several tools from ecological engineering, environmental modeling and architecture are proposed.",Biomimetics; Biomimicry; Ecological engineering; Ecomimetics; Sustainable architecture,Conference Paper,2-s2.0-84911472271,Engineering; Agricultural and Biological Sciences,Cyber-Physical,Hypothetical,Buildings/Built Environment,Buildings; resource use,Ecomimetic method,Ecosystem,Ecosystem processes,Technology pull,Indirect,Theoretical/Conceptual,Procedural,2,0, 
2014,"Liu, C; Liu, J; Xu, L; Xiang, W",N/A,Biotechnology,No,Recent achievements in bionic implementations of insect structure and functions,KYBERNETES,43,2,,307,324,18,Web of Sci,10.1108/K-09-2013-0192,,"Purpose - Entomology is a useful tool when applied to engineering challenges that have been solved in nature. Especially when these special abilities of olfactory sensation, vision, auditory perception, fly, jump, navigation, chemical synthesis, exquisite structure and others were connected with mechanization, informationization and intelligentization of modern science and technology, and produced innumerable classical bionic products. The paper aims to discuss these issues. Design/methodology/approach - All kinds of special abilities of insects and application status have been described and discussed in order to summarize the advanced research examples and supply bibliographic reference to the latters. Future perspectives and challenges in the use of insect bionics were also given. Findings - In the period of life sciences and information sciences, insect bionics not only promoted the development of modern science and technology on the sides of mechanics, molecule, energy, information and control greatly but also provided new ideas and technologies for the crisis of science and technology, food, environment and ecosystem. Originality/value - It may provide strategies to solve the problems and be a source of good ideas for researchers.",Vision; Action research; Navigation; Biology; Insects; Auditory perception; Fly and jump; Olfactory sensation; Chemical synthesis; Exquisite structure; Bionics; High-tech products,Article,WOS:000332133600010,Computer Science,Cyber-Physical,Review,Robotics,Insect robotics,Insect-inspired engineered systems,Organism,Butterflies; moths; flies; bees; beetles; dragonflies; fleas,Technology pull,Direct,Review,,,, 
2013,"Guglielmino E., Godage I., Zullo L., Caldwell D.G.",55915117700;54792919300;25648704100;7202685497;, Advanced Robotics; Neuroscience and Brain Technologies,Yes,A pragmatic bio-inspired approach to the design of octopus-inspired arms,IEEE International Conference on Intelligent Robots and Systems,,,6697014,4577,4582,,Scopus,10.1109/IROS.2013.6697014,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893756709&doi=10.1109%2fIROS.2013.6697014&partnerID=40&md5=3898487319cde8397be7fc12af4931d5,"This paper presents the results of a multidisciplinary project where biologists, mechanical engineers and electronic engineers worked together to develop bio-inspired soft continuum arms, whose design captures and takes advantage of key features of the octopus anatomy and control. The cross-integration of such diverse expertise was channelled towards the design of soft continuum arms whose characteristics were inspired by nature, but with a focus on readily available engineering technologies and their effective integration from a system viewpoint. On one side the mechanical structure and the control was designed looking at the animal, in particular at the coupling between its anatomy and control system that allows the animal to survive in its ecosystem. On the other side engineering issues and constraints were carefully accounted for, namely material softness, intrinsic safety, energy efficiency, cost effectiveness and manufacturing aspects. The design evolution is presented through three different generations of prototypes where both bio-inspiration and engineering requirements are appropriately blended. © 2013 IEEE.",,Conference Paper,2-s2.0-84893756709,Engineering; Computer Science,Cyber-Physical,Actual,Robotics,Soft continuum arm; mechanics and control,Robot,Organism,Octupus,Technology pull,Direct,Piloting/Implementation,Procedural,1,1, 
2013,"Yin B.Q., Wang Y.P., Zhu L., Cui Y.",57220854149;55976875400;55500137300;36985714700;, Architecture; Chemical Engineering and Technology,Yes,Photosynthesis of plant and photovoltaic integrated application of buildings,Applied Mechanics and Materials,357-360,,,467,473,,Scopus,10.4028/www.scientific.net/AMM.357-360.467,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883221023&doi=10.4028%2fwww.scientific.net%2fAMM.357-360.467&partnerID=40&md5=0b4ed6bc6339bc849229c1ea78d314a9,"As the most important means of solar energy application, photovoltaic performance has significant impact on human energy systems, much like the role of photosynthesis in the plant of ecosystem. In this aspect, photovoltaic and its integration with building and urban ecosystem are related to the theory of ecology, and the balance between society and nature. This paper puts forward the bionic conception of plant and on the basis of the recent researches on photosynthesis to interpret current solar utilization methodologies, especially the building integrated photovoltaic (BIPV), and the BIPV impact on urban environment. Based on the performance evaluation of the new photovoltaic module with green electricity, heating and cooling poly-generation, a hint was given that eco-solar buildings need learn from the process of photosynthesis of plants and the closed cycle of nature. © (2013)Trans Tech Publications, Switzerland.",Bionics design; BIPV; Photosynthesis; Photovoltaic radiant panel; Tree,Conference Paper,2-s2.0-84883221023,Engineering,Cyber-Physical,Hypothetical,Electrical System/Devices,Building integrated PV,BIPV: Building integrated PV,Organism,Trees,Biology push,Direct,Theoretical/Conceptual,Procedural,1,1, 
2012,"Wheeler, QD; Knapp, S; Stevenson, DW; Stevenson, J; Blum, SD; Boom, BM; Borisy, GG; Buizer, JL; De Carvalho, MR; Cibrian, A; Donoghue, MJ; Doyle, V; Gerson, EM; Graham, CH; Graves, P; Graves, SJ; Guralnick, RP; Hamilton, AL; Hanken, J; Law, W; Lipscomb, DL; Lovejoy, TE; Miller, H; Miller, JS; Naeem, S; Novacek, MJ; Page, LM; Platnick, NI; Porter-Morgan, H; Raven, PH; Solis, MA; Valdecasas, AG; Van Der Leeuw, S; Vasco, A; Vermeulen, N; Vogel, J; Walls, RL; Wilson, EO; Woolley, JB",N/A,Sustainability; Natural History; Botanical Garden; Academy of Sciences; Marine Biology; Fish and Wildlife; Agriculture,Yes,"Mapping the biosphere: exploring species to understand the origin, organization and sustainability of biodiversity",SYSTEMATICS AND BIODIVERSITY,10,1,,1,20,20,Web of Sci,10.1080/14772000.2012.665095,,"The time is ripe for a comprehensive mission to explore and document Earth's species. This calls for a campaign to educate and inspire the next generation of professional and citizen species explorers, investments in cyber-infrastructure and collections to meet the unique needs of the producers and consumers of taxonomic information, and the formation and coordination of a multi-institutional, international, transdisciplinary community of researchers, scholars and engineers with the shared objective of creating a comprehensive inventory of species and detailed map of the biosphere. We conclude that an ambitious goal to describe 10 million species in less than 50 years is attainable based on the strength of 250 years of progress, worldwide collections, existing experts, technological innovation and collaborative teamwork. Existing digitization projects are overcoming obstacles of the past, facilitating collaboration and mobilizing literature, data, images and specimens through cyber technologies. Charting the biosphere is enormously complex, yet necessary expertise can be found through partnerships with engineers, information scientists, sociologists, ecologists, climate scientists, conservation biologists, industrial project managers and taxon specialists, from agrostologists to zoophytologists. Benefits to society of the proposed mission would be profound, immediate and enduring, from detection of early responses of flora and fauna to climate change to opening access to evolutionary designs for solutions to countless practical problems. The impacts on the biodiversity, environmental and evolutionary sciences would be transformative, from ecosystem models calibrated in detail to comprehensive understanding of the origin and evolution of life over its 3.8 billion year history. The resultant cyber-enabled taxonomy, or cybertaxonomy, would open access to biodiversity data to developing nations, assure access to reliable data about species, and change how scientists and citizens alike access, use and think about biological diversity information.",biodiversity; bioinformatics; biomimicry; biosphere; conservation; cyberinfrastructure; ecology; evolution; international collaboration; organization of science; origins; species; sustainability; systematics; taxonomy; team work,Article,WOS:000305512500001,Biodiversity & Conservation; Life Sciences & Biomedicine - Other Topics,Cyber,Hypothetical,Web Data,Digital charting of all species across the biosphere,Solution database,Multiple,Species biodiversity,Technology pull,Both,Theoretical/Conceptual,,0,1, 
2011,"Banerjee S., El-Bendary N., Al-Qaheri H.",57209596332;36760776300;24778212100;, Computer Science; Maritime Transport; Quantitative Methods and Information Systems,Yes,Exploring wiki: Measuring the quality of social media using ant colony metaphor,"Proceedings of the International Conference on Management of Emergent Digital EcoSystems, MEDES'11",,,,305,312,,Scopus,10.1145/2077489.2077545,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855707713&doi=10.1145%2f2077489.2077545&partnerID=40&md5=61961ff0f5572ce56901b9765b25479a,"This paper proposes a novel bio-inspired model that quantifies the quality aspect of Wiki content. Unlike the statistical measures, the proposed system automates the quality dispersion mechanism using ant colony's pheromone artifacts over Wiki content. The inclusion of artificial ant agents is relevant to the heuristic behavior of Wiki content management and reputation paradigm of Wiki. The proposed model generates substantial empirical and graphical evidences, which could be timely boosted to enhance Wiki culture and editing process of Wiki in order to be theoretically trusted and validated across the users. Observed results present evidences that despite of users' attribution, registered or anonymous, the proposed agent based model provides quantifying editing in content of Wiki and accordingly both commercial viability, in terms of quality, and vandalism can be ensured. Copyright © 2011 ACM.",Ant colony optimization; Bio-inspired; Content management; Quality measurement; Reputation paradigm; Wiki; Wikipedia,Conference Paper,2-s2.0-84855707713,Environmental Science,Cyber,Actual,Web Data,Digital (Wiki) content management,ACO: Ant Colony Optimization,Population-Community,Ant colony,Technology pull,Direct,Modeling/Simulation,Procedural,1,2, 
2011,"Fish F.E., Weber P.W., Murray M.M., Howle L.E.",7005431842;26868277200;55613234871;7003270433;, Biology; Mechanical Engineering; Mechanical Engineering and Material Science,Yes,Marine applications of the biomimetic humpback whale flipper,Marine Technology Society Journal,45,4,,198,207,,Scopus,10.4031/MTSJ.45.4.1,https://www.scopus.com/inward/record.uri?eid=2-s2.0-84863695739&doi=10.4031%2fMTSJ.45.4.1&partnerID=40&md5=4e934a22948764ad21a2777c5ad41b75,"The biomimetic approach seeks technological advancement through a transfer of technology from natural technologies to engineered systems. The morphology of the wing-like flipper of the humpback whale has potential for marine applications. As opposed to the straight leading edge of conventional hydrofoils, the humpback whale flipper has a number of sinusoid-like rounded bumps, called tubercles, which are arranged periodically along the leading edge. The presence of the tubercles modifies the water flow over the wing-like surface, creating regions of vortex generation between the tubercles. These vortices interact with the flow over the tubercle and accelerate that flow, helping to maintain a partially attached boundary layer. This hydrodynamic effect can delay stall to higher angles of attack, increases lift, and reduces drag compared to the post-stall condition of conventional wings. As the humpback whale functions in the marine environment in a Reynolds regime similar to some engineered marine systems, the use of tubercles has the potential to enhance the performance of wing-like structures. Specific applications of the tubercles for marine technology include sailboat masts, fans, propellers, turbines, and control surfaces, such as rudders, dive planes, stabilizers, spoilers, and keels.",Bio-inspired design; Delayed stall; Leading edge; Megaptera novaeangliae; Tubercles,Article,2-s2.0-84863695739,Engineering,Physical,Review,Infrastructure (transportation),Marine technology/controls systems (propellers/turbines/rudders/keels/etc.),Whale flipper documentation,Organ-Organ System,Humpback whale flipper,Biology push,Direct,Review,,,, 
2011,"Pantoja A., Quijano N., Leirens S.",24923188500;24077163400;57193393939;, Electrical and Electronic Engineering,No,A bioinspired approach for a multizone temperature control system,Bioinspiration and Biomimetics,6,1,16007,,,,Scopus,10.1088/1748-3182/6/1/016007,https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952478283&doi=10.1088%2f1748-3182%2f6%2f1%2f016007&partnerID=40&md5=2c99093a5839b585bb5799b461a10bd7,"Bioinspired design approaches seek to exploit nature in order to construct optimal solutions for engineering problems as uniform temperature control in multizone systems. The ideal free distribution (IFD) is a concept from behavioural ecology, which describes the arrangement of individuals in different habitats such that at equilibrium, all habitats are equally suitable. Here, we relax the IFD's main assumptions using the standing-crop idea to introduce dynamics into the supplies of each habitat. Then, we make an analogy with a multizone thermal system to propose a controller based on the replicator dynamics model, in order to obtain a maximum uniform temperature subject to constant power injection. Besides, we analytically show that the equilibrium point of the controlled system is asymptotically stable. Finally, some practical results obtained with a testbed and comparisons with the theoretical results are presented. © 2011 IOP Publishing Ltd.",,Article,2-s2.0-79952478283,"Engineering; Biochemistry, Genetics and Molecular Biology",Cyber,Hypothetical,Sensing/Control,Multizone thermal system controller,Control,Population-Community,Ideal free distribution (IFD) relaxed with standing-crop idea,Technology pull,Indirect,Modeling/Simulation,Procedural,2,2, 
2010,Apul D.,8711757700;,Civil Engineering,No,Ecological design principles and their implications on water infrastructure engineering,Journal of Green Building,5,3,,147,164,,Scopus,10.3992/jgb.5.3.147,https://www.scopus.com/inward/record.uri?eid=2-s2.0-78449243263&doi=10.3992%2fjgb.5.3.147&partnerID=40&md5=37bbc1d81aedb37728c005390020a8b5,"Today's water infrastructures are the outcome of an industrial revolution-based design that are now at odds with the current sustainability paradigm. The goal of this study was to develop a vision for engineering sustainable water infrastructures. A list of 99 ecological design principles was compiled from eleven authors and grouped into three themes: (1) human dimension, (2) learning from nature (biomimicry), and (3) integrating nature. The biomimicry concept was further divided into six sub-themes; (1) complex system properties, (2) energy source, (3) scale, (4) mass and energy flows, (5) structure, and function, and (6) diversity and cooperation. The implications of these concepts on water infrastructure design suggested that water infrastructure should be conceptualized in a more holistic way by not only considering water supply, treatment, and storm water management services, but also integrating into the design problem other provisioning, regulating, cultural, and supporting ecosystem services. A decentralized approach for this integration and innovation in adaptive design are necessary to develop resilient and energy efficient water infrastructures.",Biomimicry; Ecological design principles; Nature; Water infrastructure; Water sustainability,Article,2-s2.0-78449243263,Engineering; Environmental Science; Medicine; Social Sciences,Physical,Hypothetical,Infrastructure (water),Water infrastructure design,Common ecological design principles for water infrastructure,Ecosystem,Ecosystem services,Technology pull,Indirect,Theoretical/Conceptual,Toolbox,2,1, 
2008,Jones D.,56300919800;,Electronic Arts,No,AtomSwarm: A framework for Swarm improvisation,Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),4974 LNCS,,,423,432,,Scopus,10.1007/978-3-540-78761-7_45,https://www.scopus.com/inward/record.uri?eid=2-s2.0-47249096227&doi=10.1007%2f978-3-540-78761-7_45&partnerID=40&md5=6b84e0c187887e31cccc8592cecc4dff,"This paper introduces AtomSwarm, a framework for sound-based performance using swarm dynamics. The classical ruleset for flocking simulations is augmented with genetically-encoded behaviours, hormonal flows, and viral 'memes', creating a complex sonic ecosystem that is capable of temporal adaptation and self-regulation. The architecture and sound design methodologies are summarised here, with critical reference to its biomimetic design process, sonic spatialisation and self-organising capabilities. It is finally suggested that the system's lifelikeness is a product of its relational complexity, creating empathic engagement purely through abstract formal structures. © 2008 Springer-Verlag Berlin Heidelberg.",,Conference Paper,2-s2.0-47249096227,Computer Science; Mathematics,Cyber,Actual,Art,An adaptive framework for sound-based performance,Audio-visual swarm dynamics,Population-Community,Swarm dynamics; including genetically-encoded behaviours/hormonal flows/viral 'memes',Technology pull,Indirect,Piloting/Implementation,Procedural,1,2, 
2007,"Moon J., Nang J.",24491173900;23143188500;,Computer Science and Engineering,No,Design and implementation of a bio-inspired system platform,"IEEE Region 10 Annual International Conference, Proceedings/TENCON",,,4428874,,,,Scopus,10.1109/TENCON.2007.4428874,https://www.scopus.com/inward/record.uri?eid=2-s2.0-48649099406&doi=10.1109%2fTENCON.2007.4428874&partnerID=40&md5=e60b2ba5f8e63113a5728fd89f4f2cd8,"Bio-Inspired systems are widely being developed today and have become a focus of attention as an efficient system model for large-scale network application services. However, there are difficulties associated with implementation according to the model properties such as scalability, adaptability and survivability. In order to resolve such problems, this paper proposes designing a multi-intelligent mobile agent referred to as Ecogent as well as a platform that allows the Ecogent to provide services to address the three properties of the ecosystem. The Bio-Inspired model platform is designed and implemented based on two sub-platforms. One is the ERS (Ecogent Runtime Services) platform that provides basic functions of a mobile agent including registration, life cycle, migration, communication, location and fault tolerance. The other is the Bio platform that provides the capability of evolution and adaptability through genetic algorithm and stigmergy controls. Ecogent equipped with survivability and autonomy along with a simple platform structure modularized for flexibility and scalability facilitate development of various Bio-Inspired system model applications. By implementing several model applications of the ecosystem using the Bio-Inspired platform, it was shown that various types of application system could be easily developed. ©2007 IEEE.",,Conference Paper,2-s2.0-48649099406,Engineering; Computer Science,Cyber,Hypothetical,Sensing/Control,System model platform for large-scale networking,Ecogent (agent); ERS: Ecogent Runtime Services (platform),Ecosystem,Swarm dynamics of ants and bees (evolution/stigmergy),Technology pull,Indirect,Modeling/Simulation,Procedural,1,2,