Статті в журналах: "BioSystems Science and Engineering"

1

Witney, Professor Brian D. "Biosystems Engineering." Biosystems Engineering 81, no. 1 (January 2002): 1. http://dx.doi.org/10.1006/bioe.2001.0032.

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2

Barker, S. A. "Enzyme engineering — Immobilized biosystems." Endeavour 17, no. 2 (January 1993): 96. http://dx.doi.org/10.1016/0160-9327(93)90216-p.

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3

Lucia, Umberto. "Bio-engineering thermodynamics: an engineering science for thermodynamics of biosystems." International Journal of Thermodynamics 18, no. 4 (December 1, 2015): 254. http://dx.doi.org/10.5541/ijot.5000131605.

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4

Knapczyk, Adrian, Sławomir Francik, Marek Wróbel, Marcin Jewiarz, and Krzysztof Mudryk. "Decision support systems for scheduling tasks in Biosystems Engineering." E3S Web of Conferences 132 (2019): 01008. http://dx.doi.org/10.1051/e3sconf/201913201008.

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Modern decision support systems have many applications, including assistance in scheduling tasks. Biosystems engineering combines engineering sciences and physical sciences in order to understand and improve biological systems in agriculture, food production, environment, etc. The work reviews the decision support systems in the aspect of scheduling tasks in the field of biosystems engineering. The analysis was based on documents (articles and proceedings paper) indexed in the Web of Science Core Collection (WoS-CC) database from 1945-2018. The search has been limited to the category of WoS-CC related to agriculture, water resources, food processing, horticulture and forestry. The main research topics, areas of application and methods used were determined. In the analyzed documents, task scheduling was mainly used in irrigation and harvest scheduling. Simple and advanced optimization tools were used.

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5

Berg, Hermann. "Nanofabrications and biosystems, integrating materials science, engineering, and biology." Bioelectrochemistry and Bioenergetics 43, no. 1 (June 1997): 188–89. http://dx.doi.org/10.1016/s0302-4598(97)00021-4.

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6

Yang, Xiaohan, June I. Medford, Kasey Markel, Patrick M. Shih, Henrique C. De Paoli, Cong T. Trinh, Alistair J. McCormick, et al. "Plant Biosystems Design Research Roadmap 1.0." BioDesign Research 2020 (December 5, 2020): 1–38. http://dx.doi.org/10.34133/2020/8051764.

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Human life intimately depends on plants for food, biomaterials, health, energy, and a sustainable environment. Various plants have been genetically improved mostly through breeding, along with limited modification via genetic engineering, yet they are still not able to meet the ever-increasing needs, in terms of both quantity and quality, resulting from the rapid increase in world population and expected standards of living. A step change that may address these challenges would be to expand the potential of plants using biosystems design approaches. This represents a shift in plant science research from relatively simple trial-and-error approaches to innovative strategies based on predictive models of biological systems. Plant biosystems design seeks to accelerate plant genetic improvement using genome editing and genetic circuit engineering or create novel plant systems through de novo synthesis of plant genomes. From this perspective, we present a comprehensive roadmap of plant biosystems design covering theories, principles, and technical methods, along with potential applications in basic and applied plant biology research. We highlight current challenges, future opportunities, and research priorities, along with a framework for international collaboration, towards rapid advancement of this emerging interdisciplinary area of research. Finally, we discuss the importance of social responsibility in utilizing plant biosystems design and suggest strategies for improving public perception, trust, and acceptance.

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7

Ren, Baiyu, Yichao Wang, and Jian Zhen Ou. "Engineering two-dimensional metal oxides via surface functionalization for biological applications." Journal of Materials Chemistry B 8, no. 6 (2020): 1108–27. http://dx.doi.org/10.1039/c9tb02423a.

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8

Vakulenko, Sergey, and Dmitry Grigoriev. "Deep Gene Networks and Response to Stress." Mathematics 9, no. 23 (November 26, 2021): 3028. http://dx.doi.org/10.3390/math9233028.

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We consider systems of differential equations with polynomial and rational nonlinearities and with a dependence on a discrete parameter. Such systems arise in biological and ecological applications, where the discrete parameter can be interpreted as a genetic code. The genetic code defines system responses to external perturbations. We suppose that these responses are defined by deep networks. We investigate the stability of attractors of our systems under sequences of perturbations (for example, stresses induced by environmental changes), and we introduce a new concept of biosystem stability via gene regulation. We show that if the gene regulation is absent, then biosystems sooner or later collapse under fluctuations. By a genetic regulation, one can provide attractor stability for large times. Therefore, in the framework of our model, we prove the Gromov–Carbone hypothesis that evolution by replication makes biosystems robust against random fluctuations. We apply these results to a model of cancer immune therapy.

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9

Gould, Paula. "Nanoparticles probe biosystems." Materials Today 7, no. 2 (February 2004): 36–43. http://dx.doi.org/10.1016/s1369-7021(04)00082-3.

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10

Clark, O. G., and R. Kok. "Engineering of highly autonomous biosystems: Review of the relevant literature." International Journal of Intelligent Systems 13, no. 8 (August 1998): 749–83. http://dx.doi.org/10.1002/(sici)1098-111x(199808)13:8<749::aid-int3>3.0.co;2-j.

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11

Lu, Na, Liqian Wang, Min Lv, Zisheng Tang, and Chunhai Fan. "Graphene-based nanomaterials in biosystems." Nano Research 12, no. 2 (October 15, 2018): 247–64. http://dx.doi.org/10.1007/s12274-018-2209-3.

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12

Shrivastava, Siddhartha, and Debabrata Dash. "Applying Nanotechnology to Human Health: Revolution in Biomedical Sciences." Journal of Nanotechnology 2009 (2009): 1–14. http://dx.doi.org/10.1155/2009/184702.

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Recent research on biosystems at the nanoscale has created one of the most dynamic science and technology domains at the confluence of physical sciences, molecular engineering, biology, biotechnology, and medicine. This domain includes better understanding of living and thinking systems, revolutionary biotechnology processes, synthesis of new drugs and their targeted delivery, regenerative medicine, neuromorphic engineering, and developing a sustainable environment. Nanobiosystems research is a priority in many countries and its relevance within nanotechnology is expected to increase in the future. The realisation that the nanoscale has certain properties needed to solve important medical challenges and cater to unmet medical needs is driving nanomedical research. The present review explores the significance of nanoscience and latest nanotechnologies for human health. Addressing the associated opportunities, the review also suggests how to manage far-reaching developments in these areas.

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13

Giulia, Grisolia, and Umberto Grisolia. "Thermo-fluid dynamic resonance in cancer cells." Journal of Physics: Conference Series 2177, no. 1 (April 1, 2022): 012040. http://dx.doi.org/10.1088/1742-6596/2177/1/012040.

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Abstract In the third decade of XX century, Warburg pointed out that cancer cells follow a fermentative respiration process, as a consequence of a metabolic injury. In this paper, we consider this statement in the following way: any cell process requires energy, so, in the cell, a control of the energy conversion can represent a possible control of the cell processes. Engineering thermodynamics is the science that studies the conversion of energy into work. So, thermodynamics could represent a powerful approach to analyse of the energy conversion in the biosystems, for their control. Cells regulate their metabolisms by energy and mass (ions included) flows, and the heat flux occurs by the convective interaction with their environment. Here, we consider fluxes through the biosystems border, their shapes and the characteristic time of thermal interaction with the blood and water, in the cell environment. Moreover, just in relation to time, it is possible to consider the resonance phenomena. Resonance forces natural behaviours of systems, when a wave of a frequency, related to the characteristic time, income to a system. Here, we introduce the biothermodynamic characteristic frequency, which is the characteristic frequency of a biosystem, evaluated by a thermo-fluid dynamic approach, in order to control the fluxes through the cancer membrane, and to force it towards an optimal behaviour, by changing the concentrations of ions, inside and outside of the membrane itself. The result consists in a control of the cellular metabolic processes, and also of the energy available to cancer, for its growth. In this way, the cancer growth rate can be reduced.

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14

Huang, Rui, David C. Luther, Xianzhi Zhang, Aarohi Gupta, Samantha A. Tufts, and Vincent M. Rotello. "Engineering the Interface between Inorganic Nanoparticles and Biological Systems through Ligand Design." Nanomaterials 11, no. 4 (April 13, 2021): 1001. http://dx.doi.org/10.3390/nano11041001.

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Nanoparticles (NPs) provide multipurpose platforms for a wide range of biological applications. These applications are enabled through molecular design of surface coverages, modulating NP interactions with biosystems. In this review, we highlight approaches to functionalize nanoparticles with “small” organic ligands (Mw < 1000), providing insight into how organic synthesis can be used to engineer NPs for nanobiology and nanomedicine.

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15

Kupke, Donald W., and Luis A. Marky. "The Volume Property: Hydration in Biosystems." Journal of Biomedical Nanotechnology 1, no. 4 (December 1, 2005): 421–28. http://dx.doi.org/10.1166/jbn.2005.056.

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16

Zhu, Wei, Thomas J. Webster, and Lijie G. Zhang. "4D printing smart biosystems for nanomedicine." Nanomedicine 14, no. 13 (July 2019): 1643–45. http://dx.doi.org/10.2217/nnm-2019-0134.

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17

Barbosa dos Santos, Paulo Sérgio, Lúcia Adriana Villas-Bôas, Mariana Matulovic da Silva Rodrigueiro, Leonardo Alexandre Lopes, Thiago Rocha Rodrigues, and Prof Dr Cleber Alexandre de Amorim. "Design and development of a low-cost reactor for biodiesel production from waste cooking oil (WCO)." International Journal for Innovation Education and Research 7, no. 12 (December 31, 2019): 56–68. http://dx.doi.org/10.31686/ijier.vol7.iss12.2006.

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Biodiesel stands out as a renewable, biodegradable, and non-toxic fuel when compared to fossil fuels, and has attracted significant attention from researchers and industries for environmental protection and sustainable development. However, around 95% of the world biodiesel production is derived from edible oils, which leads to a competition between oil production for food or for fuel and results in increased costs compared to diesel fuel. Biodiesel production from WCO offers a clean technological solution for both disposal of WCO and cost production problems. For these reasons, non-edible waste cooking oils are considered one of the most promising alternatives of raw material for biodiesel production. WCO can also promote social inclusion in urban areas by generating extra revenue by recycling. The aim of the present work was to develop a low-cost biodiesel reactor by Biosystems Engineering students and teachers from the School of Sciences and Engineering of São Paulo State University (UNESP). The primary goal was to include biofuels technology into the Biosystems Engineering undergraduate curriculum in order to integrate and transcend the contents contemplated in our course by helping the students to build a technological low-cost reactor with innovative research in the biofuels technology field.

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18

Baumgärtner, Franz. "Accumulative Tritium Transfer from Water into Biosystems." Fusion Science and Technology 48, no. 1 (August 2005): 787–90. http://dx.doi.org/10.13182/fst05-a1038.

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19

Willmer, Andrew R., Steven Dunne, Rosemary Swanson, Deepak Almeida, Nicole C. Ammerman, Kathleen A. Stringer, Edmund V. Capparelli, and Gus R. Rosania. "An Adaptive Biosystems Engineering Approach towards Modeling the Soluble-to-Insoluble Phase Transition of Clofazimine." Pharmaceutics 14, no. 1 (December 22, 2021): 17. http://dx.doi.org/10.3390/pharmaceutics14010017.

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Clofazimine (CFZ) is a weakly basic, small-molecule antibiotic used for the treatment of mycobacterial infections including leprosy and multidrug-resistant tuberculosis. Upon prolonged oral administration, CFZ precipitates and accumulates within macrophages throughout the host. To model the pharmacokinetics of CFZ, the volume of distribution (Vd) was considered as a varying parameter that increases with continuous drug loading. Fitting the time-dependent change in drug mass and concentration data obtained from CFZ-treated mice, we performed a quantitative analysis of the systemic disposition of the drug over a 20-week treatment period. The pharmacokinetics data were fitted using various classical compartmental models sampling serum and spleen concentration data into separate matrices. The models were constructed in NONMEM together with linear and nonlinear sigmoidal expansion functions to the spleen compartment to capture the phase transition in Vd. The different modeling approaches were compared by Akaike information criteria, observed and predicted concentration correlations, and graphically. Using the composite analysis of the modeling predictions, adaptive fractional CFZ sequestration, Vd and half-life were evaluated. When compared to standard compartmental models, an adaptive Vd model yielded a more accurate data fit of the drug concentrations in both the serum and spleen. Including a nonlinear sigmoidal equation into compartmental models captures the phase transition of drugs such as CFZ, greatly improving the prediction of population pharmacokinetics and yielding further insight into the mechanisms of drug disposition.

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20

Sharon, Maheshwar, and Madhuri Sharon. "Carbon Nanomaterials: Applications in Physico-chemical Systemsand Biosystems." Defence Science Journal 58, no. 4 (July 25, 2008): 460–85. http://dx.doi.org/10.14429/dsj.58.1668.

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21

Patolsky, Fernando, Brian P. Timko, Gengfeng Zheng, and Charles M. Lieber. "Nanowire-Based Nanoelectronic Devices in the Life Sciences." MRS Bulletin 32, no. 2 (February 2007): 142–49. http://dx.doi.org/10.1557/mrs2007.47.

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AbstractThe interface between nanosystems and biosystems is emerging as one of the broadest and most dynamic areas of science and technology, bringing together biology, chemistry, physics, biotechnology, medicine, and many areas of engineering. The combination of these diverse areas of research promises to yield revolutionary advances in healthcare, medicine, and the life sciences through the creation of new and powerful tools that enable direct, sensitive, and rapid analysis of biological and chemical species. Devices based on nanowires have emerged as one of the most powerful and general platforms for ultrasensitive, direct electrical detection of biological and chemical species and for building functional interfaces to biological systems, including neurons. Here, we discuss representative ex amples of nanowire nanosensors for ultrasensitive detection of proteins and individual virus particles as well as recording, stimulation, and inhibition of neuronal signals in nanowire-neuron hybrid structures.

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22

Sung, Baeckkyoung, and Min-Ho Kim. "Liquid-crystalline nanoarchitectures for tissue engineering." Beilstein Journal of Nanotechnology 9 (January 18, 2018): 205–15. http://dx.doi.org/10.3762/bjnano.9.22.

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Hierarchical orders are found throughout all levels of biosystems, from simple biopolymers, subcellular organelles, single cells, and macroscopic tissues to bulky organs. Especially, biological tissues and cells have long been known to exhibit liquid crystal (LC) orders or their structural analogues. Inspired by those native architectures, there has recently been increased interest in research for engineering nanobiomaterials by incorporating LC templates and scaffolds. In this review, we introduce and correlate diverse LC nanoarchitectures with their biological functionalities, in the context of tissue engineering applications. In particular, the tissue-mimicking LC materials with different LC phases and the regenerative potential of hard and soft tissues are summarized. In addition, the multifaceted aspects of LC architectures for developing tissue-engineered products are envisaged. Lastly, a perspective on the opportunities and challenges for applying LC nanoarchitectures in tissue engineering fields is discussed.

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23

Rabi, Jose A., and Fernando L. Caneppele. "Numerical methods to biosystems and food engineering students: Hands-on practices and cross-disciplinary integration." Computer Applications in Engineering Education 26, no. 5 (June 28, 2018): 1120–33. http://dx.doi.org/10.1002/cae.21933.

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24

Sun, Da-Wen. "International academy of agricultural and biosystems engineering (iAABE): a new instrument for recognizing the top profession." Paddy and Water Environment 15, no. 3 (March 2, 2017): 693–94. http://dx.doi.org/10.1007/s10333-017-0586-y.

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25

Chaoui, H. I., and H. M. Keener. "Erratum to “Separating earthworms from organic media using an electric field” [Biosystems Engineering, 100 (3), 409–421]." Biosystems Engineering 103, no. 3 (July 2009): 395. http://dx.doi.org/10.1016/j.biosystemseng.2009.05.001.

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26

Giannoulis, Anastasios, Demetres Briassoulis, Nikoleta-Georgia Papardaki, and Antonis Mistriotis. "Corrigendum to “Evaluation of insect-proof agricultural nets with enhanced functionality” [Biosystems Engineering 208 (2021) 98–112]." Biosystems Engineering 212 (December 2021): 141–42. http://dx.doi.org/10.1016/j.biosystemseng.2021.10.001.

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27

Azuma, Shun-ichi, Eriko Yanagisawa, and Jun-ichi Imura. "Controllability Analysis of Biosystems Based on Piecewise-Affine Systems Approach." IEEE Transactions on Automatic Control 53, Special Issue (January 2008): 139–52. http://dx.doi.org/10.1109/tac.2007.911316.

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28

Hosseini, Motaharesadat, and Masoud Mozafari. "Cerium Oxide Nanoparticles: Recent Advances in Tissue Engineering." Materials 13, no. 14 (July 9, 2020): 3072. http://dx.doi.org/10.3390/ma13143072.

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Submicron biomaterials have recently been found with a wide range of applications for biomedical purposes, mostly due to a considerable decrement in size and an increment in surface area. There have been several attempts to use innovative nanoscale biomaterials for tissue repair and tissue regeneration. One of the most significant metal oxide nanoparticles (NPs), with numerous potential uses in future medicine, is engineered cerium oxide (CeO2) nanoparticles (CeONPs), also known as nanoceria. Although many advancements have been reported so far, nanotoxicological studies suggest that the nanomaterial’s characteristics lie behind its potential toxicity. Particularly, physicochemical properties can explain the positive and negative interactions between CeONPs and biosystems at molecular levels. This review represents recent advances of CeONPs in biomedical engineering, with a special focus on tissue engineering and regenerative medicine. In addition, a summary report of the toxicity evidence on CeONPs with a view toward their biomedical applications and physicochemical properties is presented. Considering the critical role of nanoengineering in the manipulation and optimization of CeONPs, it is expected that this class of nanoengineered biomaterials plays a promising role in the future of tissue engineering and regenerative medicine.

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29

Sangeetha, RajKumar, Ramu Kurinjimalar, M. Ramachandran, and Selvam Manjula. "Micro Fluidics for Food, Agriculture and Biosystems Industries." Agricultural, Biologicals and Food Science 2, no. 1 (March 1, 2023): 32–41. http://dx.doi.org/10.46632/abfs/2/1/5.

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Microfluidics is the technological know-how and computing in small blocks or controlling Systems Technology fluids (10−nine to 10−18L) using channels measuring tens to hundreds of micrometers. Microfluidics in the early 1980s appeared and used in technology development. One of the fashionable, micro methods following capabilities: small volumes United Nations Food and Agriculture Organization CSA techniques include planting drought-tolerant seeds, using drip irrigation, and using shade trees in integrated agriculture. Integrated biological procedures their price-powerful conversion into excessive-price bio molecules is vital to attaining the technical, monetary and environmental feasibility of bio resource era development. New techniques for the manufacturing containing periodic habitats of bio molecules need food and pharmaceutical industries Agri-Food Supply Chain This research aims to explore block chain era with a focal point on meals and agriculture research. Therefore, a bibliometric approach changed into followed to become aware of key developments and topics in this domain by studying substantive articles, authors, countries and keywords. This study attempts to expand a graphical map of bibliographic facts in food and agriculture

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30

Zhang, Min, Zan Dai, Shevanuja Theivendran, Zhengying Gu, Liang Zhao, Hao Song, Yannan Yang, and Chengzhong Yu. "Nanotechnology enabled reactive species regulation in biosystems for boosting cancer immunotherapy." Nano Today 36 (February 2021): 101035. http://dx.doi.org/10.1016/j.nantod.2020.101035.

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31

Sun, Da-Wen. "Erratum to: International academy of agricultural and biosystems engineering (iAABE): a new instrument for recognizing the top profession." Paddy and Water Environment 15, no. 3 (April 10, 2017): 695. http://dx.doi.org/10.1007/s10333-017-0592-0.

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32

DiStefano, Joseph. "Linear and Nonlinear Modes and Data Signatures in Dynamic Systems Biology Models." Applied Sciences 13, no. 17 (August 29, 2023): 9772. http://dx.doi.org/10.3390/app13179772.

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The particulars of stimulus–response experiments performed on dynamic biosystems clearly limit what one can learn and validate about their structural interconnectivity (topology), even when collected kinetic output data are perfect (noise-free). As always, available access ports and other data limitations rule. For linear systems, exponential modes, visible and hidden, play an important role in understanding data limitations, embodied in what we call dynamical signatures in the data. We show here how to circumscribe and analyze modal response data in compartmentalizing model structures—so that modal analysis can be used constructively in systems biology mechanistic model building—for some nonlinear (NL) as well as linear biosystems. We do this by developing and exploiting the modal basis for dynamical signatures in hypothetical (perfect) input–output (I-O) data associated with a (mechanistic) structural model—one that includes inputs and outputs explicitly. The methodology establishes model dimensionality (size and complexity) from particular I-O datasets; helps select among multiple candidate models (model distinguishability); helps in designing new I-O experiments to extract “hidden” structure; and helps to simplify (reduce) models to their essentials. These modal analysis tools are introduced to NL enzyme-regulated and protein–protein interaction biosystems via nonlinear normal mode (NNM) and quasi-steady state approximation (QSSA) analyses and unified with linear models on invariant 2-dimensional manifolds in phase space, with properties similarly informative about their dominant dynamical properties. Some automation of these highly technical aspects of biomodeling is also introduced.

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Cassell, Alan M., Jun Li, Thuy-Duong Barbara Nguyen-Vu, Jessica E. Koehne, Hua Chen, Russell Andrews, and M. Meyyappan. "Vertically Aligned Carbon Nanofibers: Interconnecting Solid State Electronics with Biosystems." Journal of Nanoscience and Nanotechnology 9, no. 8 (August 1, 2009): 5038–46. http://dx.doi.org/10.1166/jnn.2009.gr06.

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34

de Boyer des Roches, Alice, Romain Lardy, Jacques Capdeville, Luc Mounier, and Isabelle Veissier. "Do International Commission of Agricultural and Biosystems Engineering (CIGR) dimension recommendations for loose housing of cows improve animal welfare?" Journal of Dairy Science 102, no. 11 (November 2019): 10235–49. http://dx.doi.org/10.3168/jds.2018-16154.

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35

Eudoxie, G. D., and R. O. Springer. "Retraction notice to “Assessing and Predicting Compaction on Agriculturally Important Soils in Trinidad” [Biosystems Engineering 95 (2006) 119-126]." Biosystems Engineering 101, no. 2 (October 2008): 281. http://dx.doi.org/10.1016/j.biosystemseng.2008.08.004.

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36

Barth, Ruud, Jochen Hemming, and Eldert J. Van Henten. "Erratum to ‘Angle estimation between plant parts for grasp optimisation in harvest robots’ [Biosystems Engineering 183C (2020) 26–46]." Biosystems Engineering 198 (October 2020): 119. http://dx.doi.org/10.1016/j.biosystemseng.2020.08.011.

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37

Marcelo, Gonçalo A., Carlos Lodeiro, José Luis Capelo, Julia Lorenzo, and Elisabete Oliveira. "Magnetic, fluorescent and hybrid nanoparticles: From synthesis to application in biosystems." Materials Science and Engineering: C 106 (January 2020): 110104. http://dx.doi.org/10.1016/j.msec.2019.110104.

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38

Hegazi, AS, AH Hashish, and E. Ahmed. "On managing complex adaptive systems motivated by biosystems application to infections." Nonlinear Biomedical Physics 3, no. 1 (2009): 11. http://dx.doi.org/10.1186/1753-4631-3-11.

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39

Tignor*, Milton E., Gene A. Giacomelli, Tracy A. Irani, Chieri Kubota, Margaret J. McMahon, Sandra B. Wilson, and David A. Heleba. "Multimedia Instrument for Greenhouse Education: Establishing Potential Clientele." HortScience 39, no. 4 (July 2004): 809D—810. http://dx.doi.org/10.21273/hortsci.39.4.809d.

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Currently, in the United States, the greenhouse industry covers more than 15,000 acres and is supported by a diverse number of firms with employee expertise that includes greenhouse manufacturing, engineering, irrigation, horticulture, IPM, sales, marketing, and business management. The growing greenhouse industry continues to be in need of highly trained undergraduates that have mastered an amalgam of scientific and business concepts necessary to be competitive in today's agricultural marketplace. Using a multidisciplinary approach we are creating a multimedia instrument for utilization in a variety of greenhouse related courses. This instrument ultimately will be available on the web for anyone to access. To ensure that our vision matches need, we have reviewed the courses offered throughout the United States at 1862, 1890, and 1994 land grant institutions. Course information collected includes; college, Dept., title, level, description, website (if available) and instructor e-mail (if available). Interestingly, there are at least 84 courses offering some aspect of greenhouse science in the U.S. Most are offered in Colleges of Agriculture or Engineering, but are housed in 17 diverse Dept.s. Examples include Dept.s of Horticulture; Agronomy and Horticulture; Agricultural Biosystems and Engineering; Plant, Soil, and Entomological Science; and Horticulture, Forestry, Landscape & Parks. This information will be utilized to focus the instructional design phase of the multimedia instrument, to contact current course instructors for feedback, and to frame future development of the resource.

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40

Yoshinori, YANAGISAWA. "Laboratory for Functional Ultra-High-Field Magnet Technology, RIKEN Center for Biosystems Dynamics Research (BDR)." TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan) 57, no. 4 (2022): 261–62. http://dx.doi.org/10.2221/jcsj.57.261.

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41

Amirouche, F. M. L., and R. L. Huston. "Dynamics of Large Constrained Flexible Structures." Journal of Dynamic Systems, Measurement, and Control 110, no. 1 (March 1, 1988): 78–83. http://dx.doi.org/10.1115/1.3152654.

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This paper presents an automated procedure useful in the study of large constrained flexible structures, undergoing large specified motions. The structure is looked upon as a “partially open tree” system, containing closed loops in some of the branches. The governing equations are developed using Kane’s equations as formulated by Huston et al. The accommodation of the constraint equations is based on the use of orthogonal complement arrays. The flexibility and oscillations of the bodies is modelled using finite segment modelling, structure analysis, and scaling techniques. The procedures developed are expected to be useful in applications including robotics, space structures, and biosystems.

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Tekeste, Mehari, Desale H. Habtzghi, and Leo Stroosnijder. "Erratum to “Soil strength assessment using threshold probability approach on soils from three agro-ecological zones in Eritrea” [Biosystems Engineering 98 (2007) 470–478]." Biosystems Engineering 100, no. 1 (May 2008): 147. http://dx.doi.org/10.1016/j.biosystemseng.2008.01.005.

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Torres-Tello, Julio W., Seokbum Ko, Keshav D. Singh, and Steve J. Shirtliffe. "Corrigendum to ‘A novel approach to identify the spectral bands that predict moisture content in canola and wheat’ [biosystems engineering 210 (2021) 91–103]." Biosystems Engineering 211 (November 2021): 260. http://dx.doi.org/10.1016/j.biosystemseng.2021.09.009.

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Harmand, J., L. Paulou, J. Desmoutiers, L. Garrelly, P. Dabert, and J. J. Godon. "The microbial signature of drinking waters: myth or reality?" Water Science and Technology 53, no. 1 (January 1, 2006): 259–66. http://dx.doi.org/10.2166/wst.2006.028.

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This paper presents a new software developed for analyzing single strand conformation polymorphism (SSCP) electrophoresis patterns delivered by the genetic analyzer ABI310 (Applied Biosystems). SSCP is a molecular typing technique based on the PCR amplification of microbial 16S rDNA and used for the monitoring of complex microbial ecosystems dynamics. The software – a home-made MATLAB toolbox called MODIMECO – developed for the analysis of SSCP patterns is presented. MODIMECO includes a number of basic signal processing abilities as well as largely used statistical tools such as the well known principal component analysis. The use of the SSCP for assessing the hypothesis of the existence of a microbial signature of drinking waters illustrates the typical advantages of using such software tools. Results are discussed and conclusions drawn.

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Bidone, Tamara C., Marco A. Deriu, Giuseppe Falvo D’urso Labate, Diana Massai, Umberto Morbiducci, and Franco Maria Montevecchi. "Scale/Physics/Time Properties and Functions in Bioartificial Systems." Materials Science Forum 706-709 (January 2012): 121–26. http://dx.doi.org/10.4028/www.scientific.net/msf.706-709.121.

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Recent research on biological materials and bioartificial systems has created one of the most dynamic field at the confluence of physical sciences, molecular engineering, cell biology, materials sciences, biotechnology and (nano) medicine. This field concerns better understanding of living systems, design of bio-inspired materials, synthesis of bioartificial technologies with new properties depending on their multi-scale architectures. Biological and man-made systems show the first level of organization at the nanoscale, where the fundamental properties and functions are settled (e.g., proteome and genome). The nanoscale properties reflect on larger scales: mesoscale, microscale, and continuum. Mechanisms by which phenomena at the different length and time scales are coupled and influence each other is the central issue in linking properties to functionalities, with a dramatic impact in designing and engineering biosystems. To get insights into the progressive trough-scales cascade effects-from molecular to macroscale level and from nanoseconds to life expectancy duration-multiscale/multiphysics models are required, dealing with inorganic, biological and hybrid matter. Thus, bioartificial systems technology depends upon our ability in assembling molecules into objects, hierarchically along several length scales, and in disassembling objects into molecules, in a tailored manner. As a peculiar feature, in bioartificial systems, the definition of the interactions between artificial and biological components needs to incorporate the “time” variable, in order to reproduce the evolution of the overall system, and to simulate complex phenomena as biodegradation and tissue remodeling. Herein, a number of paradigmatic multiscale models that attend the investigation of biological systems and the engineering of bioartificial systems is reviewed and discussed.

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Clark, Robert L. "Biosystems Analysis: The Relationship between Direct Velocity Feedback Control and the Monosynaptic Pathway of the Central Nervous System." Journal of Intelligent Material Systems and Structures 5, no. 5 (September 1994): 723–30. http://dx.doi.org/10.1177/1045389x9400500517.

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Landahl, Sandra, and Leon A. Terry. "‘Corrigendum to “Detection of internal defects in onion bulbs by means of single-point and scanning laser Doppler vibrometry” [Biosystems engineering 221 (2022) 258–273]’." Biosystems Engineering 224 (December 2022): 226. http://dx.doi.org/10.1016/j.biosystemseng.2022.10.012.

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Mândru, Dan, Vistrian Măties, Victor Roş, and Mihai Olimpiu Tătar. "New Trends in Biomechatronic Engineering Education." Solid State Phenomena 113 (June 2006): 609–14. http://dx.doi.org/10.4028/www.scientific.net/ssp.113.609.

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In the first part, the paper presents objectives of education in the biosystem engineering field, generally, and in the field of biomechatronics, especially. A hybrid system of Engineering and Biosystem is developed. Based on this, interrelations between components of engineering and biological systems are developed. In the second part, our experience during the past three years in introducing students to Biomechatronic engineering is described. The paper presents the specific team – work project elements and some examples of typical projects.

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Magalhães, L. P. "UMA DÉCADA DA ENGENHARIA DE BIOSSISTEMAS: DESCRIÇÃO INSTITUCIONAL E NÃO INSTITUCIONAL DO CURSO." Revista Brasileira de Engenharia de Biossistemas 14, no. 4 (December 31, 2020): 361–71. http://dx.doi.org/10.18011/bioeng2020v14n4p361-371.

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Após mais de 10 anos da criação do primeiro curso de Engenharia de Biossistemas no Brasil, será que já é possível obter uma definição (ou descrição) única da Engenharia de Biossistemas? As descrições contidas nos sites institucionais das quatro Universidades oferecem uma descrição similar sobre o curso? Quais palavras-chave esses sites apresentam na descrição da Engenharia de Biossistemas? E os sites não-institucionais que descrevem a profissão, se utilizam de quais palavras com mais frequência? Para responder estas perguntas foi feita uma mineração nos textos utilizados pelas quatro Universidades na descrição do curso, para assim obter as palavras mais utilizadas na caracterização do curso, seu grafo de relação e a similaridade entre as descrições. Os resultados mostraram baixa similaridade entre os textos, o enfoque na palavra ‘produção’ como a mais citada e que os textos não-institucionais apresentam mais o termo ‘agricultura’ como central do que aqueles institucionais.

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Gu, Bin, and Qichun Zhang. "Recent Advances on Functionalized Upconversion Nanoparticles for Detection of Small Molecules and Ions in Biosystems." Advanced Science 5, no. 3 (January 9, 2018): 1700609. http://dx.doi.org/10.1002/advs.201700609.

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