Academic literature on the topic 'Biological control systems'

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Journal articles on the topic "Biological control systems"

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Rogerson, Clark T., and M. N. Burge. "Fungi in Biological Control Systems." Brittonia 41, no. 4 (1989): 398. http://dx.doi.org/10.2307/2807554.

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Stark, Lawrence, and Laurence R. Young. "DEFINING BIOLOGICAL FEEDBACK CONTROL SYSTEMS *." Annals of the New York Academy of Sciences 117, no. 1 (2006): 426–42. http://dx.doi.org/10.1111/j.1749-6632.1964.tb48200.x.

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Cavalieri, Liebe F., and Huseyin Koçak. "Chaos in Biological Control Systems." Journal of Theoretical Biology 169, no. 2 (1994): 179–87. http://dx.doi.org/10.1006/jtbi.1994.1139.

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Baev, K. V. "Optimal control in biological motor control systems." IEEE Engineering in Medicine and Biology Magazine 11, no. 4 (1992): 82–83. http://dx.doi.org/10.1109/51.257006.

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van Emden, H. F., M. A. Hoy, and D. C. Herzog. "Biological Control in Agricultural IPM Systems." Journal of Applied Ecology 23, no. 2 (1986): 728. http://dx.doi.org/10.2307/2404055.

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Ames, W. F. "Evolution and control in biological systems." Mathematics and Computers in Simulation 31, no. 6 (1990): 594. http://dx.doi.org/10.1016/0378-4754(90)90064-p.

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CABANAC, MICHEL, and MAURICIO RUSSEK. "REGULATED BIOLOGICAL SYSTEMS." Journal of Biological Systems 08, no. 02 (2000): 141–49. http://dx.doi.org/10.1142/s0218339000000092.

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Control theory is concerned mainly with the treatment of signals. This article takes into account that living beings not only treat information, but they are open systems traversed by flows of energy and mass. A new block diagram of the regulation process is proposed, taking into account this fundamental difference between engineered and living systems. This new diagram possesses both didactic and heuristic advantages.
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Balchunas, Brian M., Lawrence H. Hentz, and William H. Salley. "ODOR CONTROL CONSIDERATIONS FOR BIOLOGICAL TREATMENT SYSTEMS." Proceedings of the Water Environment Federation 2000, no. 3 (2000): 1042–52. http://dx.doi.org/10.2175/193864700785303376.

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Yun, Choamun, Young Kim, Sang Yup Lee, and Sunwon Park. "Metabolic Control Analysis of Complex Biological Systems." IFAC Proceedings Volumes 41, no. 2 (2008): 9823–27. http://dx.doi.org/10.3182/20080706-5-kr-1001.01662.

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Iberall, A. S., and S. Z. Cardon. "CONTROL IN BIOLOGICAL SYSTEMS - A PHYSICAL REVIEW *." Annals of the New York Academy of Sciences 117, no. 1 (2006): 445–515. http://dx.doi.org/10.1111/j.1749-6632.1964.tb48202.x.

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Dissertations / Theses on the topic "Biological control systems"

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Li, Weiwei. "Optimal control for biological movement systems." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3205051.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed April 4, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 131-146).
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Brenner, Sibylle. "Mechanistic Control of Biological Redox Systems." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518447.

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Qian, Yili. "Systems and control theoretic approaches to engineer robust biological systems." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128991.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2020<br>Cataloged from student-submitted PDF of thesis.<br>Includes bibliographical references (pages 189-203).<br>Synthetic biology is an emerging field of research aimed to engineer biological systems by inserting programmed DNA molecules into living cells. These DNAs encode the production and subsequent interactions of biomolecules that allow the cells to have novel sensing, computing, and actuation capabilities. However, most success stories to date rely heavily on trial and error. This is mainly b
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Panchea, Adina. "Inverse optimal control for redundant systems of biological motion." Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2050/document.

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Cette thèse aborde les problèmes inverses de contrôle optimal (IOCP) pour trouver les fonctions de coûts pour lesquelles les mouvements humains sont optimaux. En supposant que les observations de mouvements humains sont parfaites, alors que le processus de commande du moteur humain est imparfait, nous proposons un algorithme de commande approximative optimale. En appliquant notre algorithme pour les observations de mouvement humaines collectées: mouvement du bras humain au cours d'une tâche de vissage industrielle, une tâche de suivi visuel d’une cible et une tâche d'initialisation de la march
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Chandra, Manik. "Analytical study of a control algorithm based on emotional processing." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/4914.

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This work presents a control algorithm developed from the mammalian emotional processing network. Emotions are processed by the limbic system in the mammalian brain. This system consists of several components that carry out different tasks. The system level understanding of the limbic system has been previously captured in a discrete event computational model. This computational model was modified suitably to be used as a feedback mechanism to regulate the output of a continuous-time first order plant. An extension to a class of nonlinear plants is also discussed. The combined system of the mo
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Govender, Veloshinie. "Evaluation of biological control systems for control of mango post-harvest diseases." Pretoria : [s.n.], 2004. http://upetd.up.ac.za/thesis/available/etd-02102006-160747.

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Tomazou, Marios. "Towards light based dynamic control of synthetic biological systems." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/44243.

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For the field of synthetic biology, the adaptation of principles, from the well established traditional engineering disciplines, like mechanical and electrical engineering, in order to realise complex synthetic biological circuits, is an intriguing prospect. These principles can enable a forward engineering, rational design and implementation approach, where a system's properties can be predicted or designed in silico followed by the manufacturing of the in vivo system, that can be tested, used or redesigned in the most efficient possible way. Achieving control over these circuits, is one of t
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Segall-Shapiro, Thomas Hale. "Regulatory systems for the robust control of engineered genetic programs." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113965.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 143-159).<br>The ability to engineer complex genetic programs could have a huge impact on many industries, yielding organisms that can respond to their environment and perform functions relevant to manufacturing, agriculture, and medicine. However, such engineering efforts have proven difficult, in part because these programs often require precise levels of gene expression for proper function. It is especially
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Molenaar, Robert. "Design and implementation of biosystem control and tools for biosystem simulation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0017/NQ44519.pdf.

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Stoltz, Scott. "The effects of biofeedback plus progressive relaxation on the emotional well-being of college students." Online version, 2000. http://www.uwstout.edu/lib/thesis/2000/2000stoltzs.pdf.

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Books on the topic "Biological control systems"

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N, Burge M., ed. Fungi in biological control systems. Manchester University Press, 1988.

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Declan, Bates, ed. Feedback control in systems biology. CRC Press, 2012.

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Kurzhanski, A. B., and K. Sigmund, eds. Evolution and Control in Biological Systems. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2358-4.

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W, Collins M., Bryant J. A. 1944-, and Atherton M. A. 1942-, eds. Information transfer in biological systems. WIT, 2002.

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Thomas, René. Biological feedback. CRC Press, 1990.

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P, Neuenschwander, Borgemeister C, Langewald J, Technical Centre for Agricultural and Rural Cooperation (Ede, Netherlands), and Switzerland. Direktion für Entwicklungszusammenarbeit und Humanitäre Hilfe, eds. Biological control in IPM systems in Africa. CABI Pub., 2003.

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IFAC, Symposium on Modelling and Control in Biomedical Systems (4th 2000 Karlsburg Germany). Modelling and control biomedical systems 2000 (including biological systems). Pergamon, 2000.

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Palmer, Jon. Biological response modifiers. U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Cancer Institute, International Cancer Research Data Bank, 1988.

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Rao, Vadrevu Sree Hari. Dynamic models and control of biological systems. Springer, 2009.

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Neuenschwander, P., C. Borgemeister, and J. Langewald, eds. Biological control in IPM systems in Africa. CABI, 2002. http://dx.doi.org/10.1079/9780851996394.0000.

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Book chapters on the topic "Biological control systems"

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Van Driesche, Roy G., and Thomas S. Bellows. "Integration of Biological Control into Pest Management Systems." In Biological Control. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-1157-7_14.

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Haefner, James W. "Hormonal Control in Mammals." In Modeling Biological Systems. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-4119-6_12.

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Ruth, Matthias, and Bruce Hannon. "Adaptive Population Control." In Modeling Dynamic Biological Systems. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0651-4_21.

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Hannon, Bruce, and Matthias Ruth. "Adaptive Population Control." In Modeling Dynamic Biological Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05615-9_22.

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Spano, M. L., and W. L. Ditto. "Chaos Control in Biological Systems." In Handbook of Chaos Control. Wiley-VCH Verlag GmbH & Co. KGaA, 2006. http://dx.doi.org/10.1002/3527607455.ch17.

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Claude, Daniel. "Control theory and biological regulations: Bipolar controls." In Modeling and Control of Systems. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/bfb0041206.

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Érdi, Péter. "Feedback Control in Biological Systems." In Feedback. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-62439-1_3.

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Kodithuwakku Arachchige, Sachini N. K., and Harish Chander. "Postural Control During Perturbations." In Motion Analysis of Biological Systems. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-52977-1_9.

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Waldherr, Steffen, and Frank Allgöwer. "Robustness Analysis of Biological Models." In Encyclopedia of Systems and Control. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_93.

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Sontag, Eduardo D. "Scale-Invariance in Biological Sensing." In Encyclopedia of Systems and Control. Springer London, 2020. http://dx.doi.org/10.1007/978-1-4471-5102-9_100090-1.

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Conference papers on the topic "Biological control systems"

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Teichner, Ron, and Ron Meir. "Identifying Internal Control in Biological Systems Through Machine Learning." In 2025 17th International Conference on Knowledge and Smart Technology (KST). IEEE, 2025. https://doi.org/10.1109/kst65016.2025.11003301.

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Marshall, A., and G. N. Walker. "Increased Awareness of Biological Control and Its Implications." In CORROSION 1990. NACE International, 1990. https://doi.org/10.5006/c1990-90354.

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Abstract A microbiological control programme should be applied where possible in man made water systems. The objectives of the control programme are to remove existing biological deposits and to prevent the excessive microbe growth that would cause corrosion, the formation of further deposits or represent a public health risk. A large number of biocides can be used in control programmes and these are classified as either oxidising or non-oxidising biocides. Details are presented of the successful clean-up of a cooling system using a combination of dispersants together with oxidising and non-ox
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Zhou, Shulong, and Yanfeng Shen. "Directional guided wave control on composite structures leveraging apodized frequency steerable acoustic transducers." In Health Monitoring of Structural and Biological Systems XIX, edited by Piervincenzo Rizzo, Zhongqing Su, Fabrizio Ricci, and Kara J. Peters. SPIE, 2025. https://doi.org/10.1117/12.3051187.

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Mikołajczyk, H. "Electromagnetic Hazards for Biological Systems and Strategy of Electromagnetic Compatibility Control." In EMC_1990_Wroclaw. IEEE, 1990. https://doi.org/10.23919/emc.1990.10833004.

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"12. Medical and biological systems control." In 2015 International Conference "Stability and Control Processes" in Memory of V.I. Zubov (SCP). IEEE, 2015. http://dx.doi.org/10.1109/scp.2015.7342193.

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Julius, A. Agung, Adam Halasz, Vijay Kumar, and George J. Pappas. "Controlling biological systems: the lactose regulation system of Escherichia coli." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282770.

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Sootla, Aivar, Diego Oyarzun, David Angeli, and Guy-Bart Stan. "Shaping pulses to control bistable biological systems." In 2015 American Control Conference (ACC). IEEE, 2015. http://dx.doi.org/10.1109/acc.2015.7171815.

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Haddon, Antoine, Victor Alcaraz-Gonzalez, Maha Hmissi, Jerome Harmand, and Antoine Rousseau. "Simulation of spatially distributed intensive biological systems." In 2020 European Control Conference (ECC). IEEE, 2020. http://dx.doi.org/10.23919/ecc51009.2020.9143773.

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Tomic, Drasko, and Bozica Pernaric. "Control and optimization of complex biological systems." In 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2014. http://dx.doi.org/10.1109/mipro.2014.6859565.

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Venzon, Madelaine. "Conservation biological control in tropical agroecological systems." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.117716.

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Reports on the topic "Biological control systems"

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Corban, J. E., Cole Gilbert, Anthony J. Calise, and Allen R. Tannenbaum. Biological Inspired Direct Adaptive Guidance and Control for Autonomous Flight Systems. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada433221.

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Houck, Marilyn, Uri Gerson, and Robert Luck. Two Predator Model Systems for the Biological Control of Diaspidid Scale Insects. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570554.bard.

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Hemisarcoptes (Acari: Hamisarcoptidae) is a parasite of scale insects (Diaspididae), tenacious pests of vascular plants. Hemisarcoptes also has a stenoxenic phoretic (dispersal) relationship with Chilocorus (Coleoptera: Coccinellidae). Chilocorus feeds on diaspidids, transports mites as they feed, and has been applied to the control of scales, with limited success. U.S.-Israeli cooperation focused on this mite-beetle interaction so that a two-component system could be applied to the control of scale insects effectively. Life history patterns of Hemisarcoptes were investigated in response to ho
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Hackett, Kevin, Shlomo Rottem, David L. Williamson, and Meir Klein. Spiroplasmas as Biological Control Agents of Insect Pests. United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7613017.bard.

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Toward development of spiroplasmas as novel toxin-delivery systems for biocontrol of beetle pests in the United States (Leptinotarsa decemlineata) and Israel (Maladera matrida), media for cultivating beetle-associated spiroplasmas were improved and surveys of these spiroplasmas were conducted to provide transformable strains. Extensive surveys of spiroplasmas yielded promising extrachromosomal elements for vector constructs. One, plasmid pCT-1, was cloned, characterized, and used as a source of spiroplasma origin of replication in our shuttle vectors. The fibrillin gene was isolated and sequen
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May, Elebeoba Eni, Mark Daniel Rintoul, Anna Marie Johnston, Richard J. Pryor, William Eugene Hart, and Jean-Paul Watson. Detection and reconstruction of error control codes for engineered and biological regulatory systems. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/918239.

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Messelink, G. J. Team building in biocontrol : An ecosystem approach in biological pest control in greenhouse cropping systems. Wageningen University & Research, 2021. http://dx.doi.org/10.18174/555184.

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Lundgren, Jonathan, Moshe Coll, and James Harwood. Biological control of cereal aphids in wheat: Implications of alternative foods and intraguild predation. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7699858.bard.

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The overall objective of this proposal is to understand how realistic strategies for incorporating alternative foods into wheat fields affect the intraguild (IG) interactions of omnivorous and carnivorous predators and their efficacy as biological control agents. Cereal aphids are a primary pest of wheat throughout much of the world. Naturally occurring predator communities consume large quantities of cereal aphids in wheat, and are partitioned into aphid specialists and omnivores. Within wheat fields, the relative abilities of omnivorous and carnivorous predators to reduce cereal aphids depen
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Kloepper, Joseph W., and Ilan Chet. Endophytic Bacteria of Cotton and Sweet Corn for Providing Growth Promotion and Biological Disease Control. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613039.bard.

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Endophytes were isolated from 16.7% of surface-disinfested seeds and 100% of stems and roots of field-growth plants. Strains from Israel with broad-spectrum in vitro antibiosis were mainly Bacillus spp., and some were chitinolytic. Following dipping of cut cotton roots into suspensions of these strains, endophytes were detected up to 72 days later by isolation and by autoradiograms of 14C-labelled bacteria. Selected endophytes exhibited biological control potential based on significant reductions in disease severity on cotton inoculated with Rhizoctonia solani or Fusarium oxysporum f. sp. vasi
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Friedler, Eran, and Karl G. Linden. Distributed UV LEDs for combined control of fouling of drip emitters and disinfection during irrigation with reclaimed wastewater effluent. United States-Israel Binational Agricultural Research and Development Fund, 2022. http://dx.doi.org/10.32747/2022.8134144.bard.

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Irrigating crops with reclaimed wastewater, replacing potable water, using drip irrigation has become more common as demands on water supplies have increased. Because of the quality characteristics of treated wastewater, the small size and geometry of drip emitters, and flow characteristics though the emitters, systems can become clogged for physical and biological reasons. Emitters clogging reduces flow and increases the variability of flows between emitters that can lead to crops water stress and thus reduce crop yield. Clogged systems require more energy or more labor- and chemical-intensiv
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Brockmann, Kolja, and Nivedita Raju. NewSpace and the Commercialization of the Space Industry: Challenges for the Missile Technology Regime. Stockholm International Peace Research Institute, 2022. http://dx.doi.org/10.55163/yrpy6524.

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The changing nature of the space industry—particularly through its NewSpace entrants—is resulting in changes in business practices, new funding sources and capitalization models, as well as gaps in awareness and understanding of export controls. NewSpace is not only changing the nature of the space industry, but also exacerbating existing missile proliferation risks and posing challenges for the effective implementation of export controls. It therefore requires a coordinated response by the main multilateral missile export control instrument: the Missile Technology Control Regime (MTCR). This
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Brosh, Arieh, Gordon Carstens, Kristen Johnson, et al. Enhancing Sustainability of Cattle Production Systems through Discovery of Biomarkers for Feed Efficiency. United States Department of Agriculture, 2011. http://dx.doi.org/10.32747/2011.7592644.bard.

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Feed inputs represent the largest variable cost of producing meat and milk from ruminant animals. Thus, strategies that improve the efficiency of feed utilization are needed to improve the global competitiveness of Israeli and U.S. cattle industries, and mitigate their environmental impact through reductions in nutrient excretions and greenhouse gas emissions. Implementation of innovative technologies that will enhance genetic merit for feed efficiency is arguably one of the most cost-effective strategies to meet future demands for animal-protein foods in an environmentally sustainable manner.
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