Academic literature on the topic 'Nervous systems'

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Journal articles on the topic "Nervous systems"

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Williams, Nigel. "Nervous systems." Current Biology 13, no. 5 (March 2003): R168. http://dx.doi.org/10.1016/s0960-9822(03)00113-1.

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Arendt, Detlev. "Elementary nervous systems." Philosophical Transactions of the Royal Society B: Biological Sciences 376, no. 1821 (February 8, 2021): 20200347. http://dx.doi.org/10.1098/rstb.2020.0347.

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The evolutionary origin of the nervous system has been a matter of long-standing debate. This is due to the different perspectives taken. Earlier studies addressed nervous system origins at the cellular level. They focused on the selective advantage of the first neuron in its local context, and considered vertical sensory-motor reflex arcs the first nervous system. Later studies emphasized the value of the nervous system at the tissue level. Rather than acting locally, early neurons were seen as part of an elementary nerve net that enabled the horizontal coordination of tissue movements. Opinions have also differed on the nature of effector cells. While most authors have favoured contractile systems, others see the key output of the incipient nervous system in the coordination of motile cilia, or the secretion of antimicrobial peptides. I will discuss these divergent views and explore how they can be validated by molecular and single-cell data. From this survey, possible consensus emerges: (i) the first manifestation of the nervous system likely was a nerve net, whereas specialized local circuits evolved later; (ii) different nerve nets may have evolved for the coordination of contractile or cilia-driven movements; (iii) all evolving nerve nets facilitated new forms of animal behaviour with increasing body size.This article is part of the theme issue ‘Basal cognition: multicellularity, neurons and the cognitive lens’.
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Schafer, William. "Nematode nervous systems." Current Biology 26, no. 20 (October 2016): R955—R959. http://dx.doi.org/10.1016/j.cub.2016.07.044.

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Katsuki, Takeo, and Ralph J. Greenspan. "Jellyfish nervous systems." Current Biology 23, no. 14 (July 2013): R592—R594. http://dx.doi.org/10.1016/j.cub.2013.03.057.

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Igata, Akihiro. "Nervous- and immune systems." Japanese Journal of Clinical Immunology 11, no. 3 (1988): 203–8. http://dx.doi.org/10.2177/jsci.11.203.

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Marder, Eve. "Nervous systems made simple." Nature 448, no. 7153 (August 2007): 537. http://dx.doi.org/10.1038/448537a.

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Arbas, E. A., I. A. Meinertzhagen, and S. R. Shaw. "Evolution in Nervous Systems." Annual Review of Neuroscience 14, no. 1 (March 1991): 9–38. http://dx.doi.org/10.1146/annurev.ne.14.030191.000301.

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CHURCHLAND, PATRICIA S. "Self-Representation in Nervous Systems." Annals of the New York Academy of Sciences 1001, no. 1 (October 2003): 31–38. http://dx.doi.org/10.1196/annals.1279.002.

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Crusio, Wim E. "An Introduction to Nervous Systems." Genes, Brain and Behavior 7, no. 7 (October 2008): 831. http://dx.doi.org/10.1111/j.1601-183x.2008.00424_3.x.

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Churchland, P. S. "Self-Representation in Nervous Systems." Science 296, no. 5566 (April 12, 2002): 308–10. http://dx.doi.org/10.1126/science.1070564.

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Dissertations / Theses on the topic "Nervous systems"

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Radke, James Melvin. "Studies involving somatostatin systems in the rodent central nervous system." Thesis, University of British Columbia, 1987. http://hdl.handle.net/2429/26518.

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Somatostatin is a neuropeptide found throughout the brain. Several studies have established its anatomical distribution as being quite heterogenous with relatively high concentrations appearing in the limbic and striatal systems. Presently, very little is known about the functions of somatostatin systems in the brain and how they interact with other transmitter systems. The following report is a summary of experiments undertaken to assess the functional and chemical interactions of somatostatin with other neurotransmitter systems. Previous studies have established that the dopaminergic inputs to the basal ganglia are important for locomotor activity and reward. These systems have also been implicated in several mental and neural diseases such as schizophrenia, depression, and Parkinson’s disease. In the first experiment, interactions between dopamine and somatostatin systems were examined using paradigms involving behavioural responses to dopamine agonists. Depletion of somatostatin levels by the drug cysteamine was found to attenuate amphetamine- and apomorphine-mediated motor behaviours but not the reinforcing aspects of amphetamine. The second experiment attempted to further characterize the nature of the dopamine-somatostatin interaction by examining the effects of haloperidol, a dopamine antagonist, on central somatostatin levels. Short term treatment with haloperidol decreased striatal somatostatin levels. Long term treatment (8 months) with haloperidol failed to alter somatostatin levels in the caudate-putamen. Since somatostatin levels appear to be normal in Parkinsonian brains, the effects of MPTP poisoning in mice on central somatostatin levels was also studied to examine the accuracy of this animal model of Parkinson's disease and examine the effects of dopaminergic lesions on somatostatin levels. The results of this experiment indicate that MPTP causes a dose dependent increase in nigral somatostatin levels without altering striatal or cortical levels. These results are in partial disagreement with results obtained from both post-mortem Parkinsonian brains and primates given MPTP, thereby questioning the accuracy of this mouse model of Parkinson's disease. The final experiment examined the effects of the anticonvulsant-antidepressant carbamazepine on central somatostatin levels in the rat. Although the chemical mechanisms responsible for the therapeutic effects of carbamazepine are unknown, previous studies have suggested that its efficacy in the treatment of both manic-depression and epilepsy may be associated with the ability of this drug to reduce the abnormal somatostatin levels observed in these diseases. In this experiment, neither acute, chronic, nor withdrawal from chronic treatment with carbamazepine were found to alter the levels of somatostatin in rats. The lack of effects of carbamazepine on basal somatostatin levels may indicate somatostatin cells are susceptible to carbamazepine only under pathological situations. Together, these results are discussed in the context of recent observations of abnormal somatostatin levels in several diseases of the central nervous system and provide some insight into the interactions and functions of somatostatin systems in the normal and abnormal brain.
Medicine, Faculty of
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Stumpf, da Silva Taisa Regina. "Delivery Systems to Enhance Neural Regeneration in the Central Nervous System." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39391.

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Hannula, M. (Manne). "Information transmission capacity of the nervous system of the arm – an information and communication engineering approach to the brachial plexus function." Doctoral thesis, University of Oulu, 2003. http://urn.fi/urn:isbn:9514272277.

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Abstract The arm includes a large number of nerve fibres that transfer information between the central nervous system and the receptors, muscles and glands of the arm. In the nervous system there is continuous traffic. At rest, when only the receptors send information continuously towards the central nervous system, the traffic is not as intensive as during stress, e.g. during movements of the arm, when the central nervous system sends information towards the muscles, as well. From an information and communication engineering perspective the nervous system of the arm is an information channel, the other end of which is in the central nervous system and the other end at the periphery of the arm. One principal question about such a communication system is what the maximum information transmission capacity of the channel is, e.g. how the information channel is dimensioned. The arm is a highly complex system with over sixty muscles moving it, and a huge number of sensory receptors in it. Nature has dimensioned the information channel of the arm to satisfy the requirements of the nervous system. In this thesis a specific mathematical model is built in order to evaluate the maximum information transmission capacity of the nervous system of the arm. The model handles the nervous system of the arm as an entity in the light of information theory. The model uses the physiological and functional properties of the nervous system of the arm as the input and gives the estimate of the maximum information transmission capacity as the output. The modelling yielded the result that the maximum information transmission capacity of the arm is about 10 Mbit/s. Hence, if a complete neural prosthesis of the arm were built, a single USB bus (12 Mbit/s) would suffice as a communication channel for each arm. The mathematical model developed can also be applied to other parts of the peripheral nervous system. The aim of future research is to apply the developed model comprehensively to the human peripheral nervous system and to estimate the maximum information transmission capacity of the whole human peripheral nervous system.
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De, Garis Hugo. "Genetic programming. GenNets, artificial nervous systems, artificial morphogenesis." Doctoral thesis, Universite Libre de Bruxelles, 1992. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212933.

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Alghamdi, Akram Saleh A. "Interaction between immune and nervous systems in insects." Thesis, University of Leicester, 2012. http://hdl.handle.net/2381/27682.

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In vertebrates, it has been established that interactions exist between the immune system, the nervous system, and behavior. A comparative examination of these interactions in other animals helps us understand the evolution of this interaction. It may also be possible to develop animal models of important human pathologies, which are due to the interactions between these two systems. In insects an immune-behavioral interactions similar to those seen in vertebrates has been shown to exist. This suggests that this interaction has a highly conserved function. For example, activation of immune response produces illness-induced anorexia, behavioral fever, changes in reproductive behavior, and decreased learning ability in different species. This thesis establishes further examples of this interaction between the immune and nervous system, examines the physiological basis between them and explores the evolutionary dynamics of the interaction. I establish this interaction between the immunity and memory in bumblebees in a free flying paradigm, where previously it had only been shown in artificial classical conditioning assays. Then, I checked the immunity of different bumblebee colonies of known learning ability to identify any evolutionary relationship between these two traits. I used Drosophila melanogaster to study the sleep phenomenon after activation of the immune system as a potential intermediary between immunity and memory. Finally, I checked the olfactory learning of Drosophila melanogaster after activating their immune system to see if the fruit fly would make a useful model for immune modulated memory reduction.
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Johnston, Richard Norman. "Studies on peptidergic nervous systems in triclad turbellarians." Thesis, Queen's University Belfast, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387933.

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Rubeo, Scott Edward. "Control of Simulated Cockroach Using Synthetic Nervous Systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1495555770825904.

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McMinn, David. "Using evolutionary artificial neural networks to design hierarchical animat nervous systems." Thesis, Robert Gordon University, 2001. http://hdl.handle.net/10059/427.

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The research presented in this thesis examines the area of control systems for robots or animats (animal-like robots). Existing systems have problems in that they require a great deal of manual design or are limited to performing jobs of a single type. For these reasons, a better solution is desired. The system studied here is an Artificial Nervous System (ANS) which is biologically inspired; it is arranged as a hierarchy of layers containing modules operating in parallel. The ANS model has been developed to be flexible, scalable, extensible and modular. The ANS can be implemented using any suitable technology, for many different environments. The implementation focused on the two lowest layers (the reflex and action layers) of the ANS, which are concerned with control and rhythmic movement. Both layers were realised as Artificial Neural Networks (ANN) which were created using Evolutionary Algorithms (EAs). The task of the reflex layer was to control the position of an actuator (such as linear actuators or D.C. motors). The action layer performed the task of Central Pattern Generators (CPG), which produce rhythmic patterns of activity. In particular, different biped and quadruped gait patterns were created. An original neural model was specifically developed for assisting in the creation of these time-based patterns. It is shown in the thesis that Artificial Reflexes and CPGs can be configured successfully using this technique. The Artificial Reflexes were better at generalising across different actuators, without changes, than traditional controllers. Gaits such as pace, trot, gallop and pronk were successfully created using the CPGs. Experiments were conducted to determine whether modularity in the networks had an impact. It has been demonstrated that the degree of modularization in the network influences its evolvability, with more modular networks evolving more efficiently.
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Bayley, Timothy George. "Imaging calcium dynamics during motor pattern generation and sensory processing in insect nervous systems." Thesis, University of Cambridge, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709485.

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Szczecinski, Nicholas S. "Synthetic Nervous Systems and Design Tools for Legged Locomotion." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1499122178853385.

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Books on the topic "Nervous systems"

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A, Sakharov D., and Winlow W, eds. Simpler nervous systems. Manchester: Manchester University Press, 1991.

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Ali, M. A., ed. Nervous Systems in Invertebrates. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1955-9.

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NATO Advanced Study Institute on Nervous Systems in Invertebrates (1986 Bishop's University). Nervous systems in invertebrates. New York: Plenum Press, 1987.

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Gorodetskiy, Andrey E., and Vugar G. Kurbanov, eds. Smart Electromechanical Systems: The Central Nervous System. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53327-8.

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Brown, A. G. Nerve Cells and Nervous Systems. London: Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-3345-2.

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Brown, A. G. Nerve Cells and Nervous Systems. London: Springer London, 2001. http://dx.doi.org/10.1007/978-1-4471-0237-3.

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Greenspan, Ralph J. An introduction to nervous systems. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press, 2007.

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1942-, Micheli-Tzanakou Evangelia, ed. Neuroelectric systems. New York: New York University Press, 1987.

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Anderson, Peter A. V., ed. Evolution of the First Nervous Systems. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-0921-3.

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1948-, Prete Frederick R., ed. Complex worlds from simpler nervous systems. Cambridge, Mass: MIT Press, 2004.

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Book chapters on the topic "Nervous systems"

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Roberts, Anne, and Peter Gardiner. "Nervous System." In Systems of Life, 41–72. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-13443-4_5.

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Buijs, Ruud. "Autonomic Nervous Systems." In Neuroscience in the 21st Century, 1543–56. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3474-4_48.

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Buijs, Ruud. "Autonomic Nervous Systems." In Neuroscience in the 21st Century, 1407–21. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-1997-6_48.

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Iwaniuk, Andrew N., and Douglas R. Wylie. "Comparative vertebrate nervous systems." In APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior., 501–15. Washington: American Psychological Association, 2017. http://dx.doi.org/10.1037/0000011-024.

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Grinde, Bjørn. "Evolution of Nervous Systems." In The Biology of Happiness, 19–35. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4393-9_2.

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Guntern, Gottlieb. "Systems Therapy." In Biological Psychiatry, Higher Nervous Activity, 685–91. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-8329-1_102.

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Nieuwenhuys, Rudolf, Jan Voogd, and Christiaan van Huijzen. "Functional Systems." In The Human Central Nervous System, 143–375. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-662-10343-2_6.

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Gorodetskiy, Andrey E., and Irina L. Tarasova. "Central Nervous System." In Introduction to the Theory of Smart Electromechanical Systems, 89–177. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36052-7_2.

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Goto, T., and M. Yoshida. "Nervous System in Chaetognatha." In Nervous Systems in Invertebrates, 461–81. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1955-9_16.

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Marder, Eve, Andrew M. Swensen, Dawn M. Blitz, Andrew E. Christie, and Michael P. Nusbaum. "Convergence and Divergence of Cotransmitter Systems in the Crab Stomatogastric Nervous System." In The Crustacean Nervous System, 20–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04843-6_2.

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Conference papers on the topic "Nervous systems"

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Scheffer, Louis K. "Design tools for artificial nervous systems." In the 49th Annual Design Automation Conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2228360.2228490.

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Hasslacher, Brosl, and Mark W. Tilden. "Theoretical foundations for nervous networks." In Applied nonlinear dynamics and stochastic systems near the millenium. AIP, 1997. http://dx.doi.org/10.1063/1.54209.

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Plunkett, Claire, David Munkvold, Paloma Gonzalez-Bellido, Suma Cardwell, Scott Koziol, Luke Parker, and Frances Chance. "Modeling Coordinate Transformations in Dragonfly Nervous Systems." In Proposed for presentation at the CRCNS PI Meeting held October 27-28, 2022 in Atlanta, GA. US DOE, 2022. http://dx.doi.org/10.2172/2005717.

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Shumilov, V. N., V. I. Syryamkin, and M. V. Syryamkin. "Modelling of pathologies of the nervous system by the example of computational and electronic models of elementary nervous systems." In NEW OPERATIONAL TECHNOLOGIES (NEWOT’2015): Proceedings of the 5th International Scientific Conference «New Operational Technologies». AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4936040.

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Sannon, Shruti, Elizabeth L. Murnane, Natalya N. Bazarova, and Geri Gay. ""I was really, really nervous posting it"." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300583.

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Hoyle, Fritz G., Hayfah A. Dimakuta, Kim Benedict P. Cabonita, Vanessa A. dela Pena, Ralph P. Laviste, Cherry Lyn C. Sta Romana, and Cresilda T. Misterio. "Nervo: Augmented Reality Mobile Application for the Science Education of Central and Peripheral Nervous Systems." In 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ). IEEE, 2019. http://dx.doi.org/10.1109/hnicem48295.2019.9072855.

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Ji-Hong Liu, Cheng-Yuan Wang, and Ying-Ying An. "A Survey of neuromorphic vision system: --Biological nervous systems realized on silicon." In 2009 International Conference on Industrial Mechatronics and Automation (ICIMA 2009). IEEE, 2009. http://dx.doi.org/10.1109/icima.2009.5156583.

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Kondo, Yuzuki, and Tsuyoshi Takayama. "Encouraging System towards Severe Slope Way for Nervous Tourists." In 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS). IEEE, 2022. http://dx.doi.org/10.1109/scisisis55246.2022.10001869.

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Loeb, Gerald E., and Jack Wills. "General-pupose technology for a general-purpose nervous system." In 2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008. IEEE, 2008. http://dx.doi.org/10.1109/iscas.2008.4541424.

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Hotate, Kazuo. "Optical Fiber Nervous Systems for Smart Materials and Smart Structures." In Optical Instrumentation for Energy and Environmental Applications. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/e2.2012.ew2c.4.

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Reports on the topic "Nervous systems"

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Tenie, Giorgiana Adina, Marie Louise Holmer, and Katarzyna Malkiewicz. Chemical induced effects on the developing nervous and immune systems. Nordic Council of Ministers, November 2017. http://dx.doi.org/10.6027/na2017-919.

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Vakharia, Vikram, Shoshana Arad, Yonathan Zohar, Yacob Weinstein, Shamila Yusuff, and Arun Ammayappan. Development of Fish Edible Vaccines on the Yeast and Redmicroalgae Platforms. United States Department of Agriculture, February 2013. http://dx.doi.org/10.32747/2013.7699839.bard.

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Betanodaviruses are causative agents of viral nervous necrosis (VNN), a devastating disease of cultured marine fish worldwide. Betanodavirus (BTN) genome is composed of two single-stranded, positive-sense RNA molecules. The larger genomic segment, RNA1 (3.1 kb), encodes the RNA-dependent RNA polymerase, while the smaller genomic segment, RNA 2 (1.4kb), encodes the coat protein. This structural protein is the host-protective antigen of VNN which assembles to form virus-like particles (VLPs). BTNs are classified into four genotypes, designated red-spotted grouper nervous necrosis virus (RGNNV), barfin flounder nervous necrosis virus (BFNNV), tiger puffer nervous necrosis virus (TPNNV), and striped jack nervous necrosis virus (SJNNV), based on phylogenetic analysis of the coat protein sequences. RGNNV type is quite important as it has a broad host-range, infecting warm-water fish species. At present, there is no commercial vaccine available to prevent VNN in fish. The general goal of this research was to develop oral fish vaccines in yeast and red microalgae (Porphyridium sp.) against the RGNNV genotype. To achieve this, we planned to clone and sequence the coat protein gene of RGNNV, express the coat protein gene of RGNNV in yeast and red microalgae and evaluate the immune response in fish fed with recombinantVLPs antigens produced in yeast and algae. The collaboration between the Israeli group and the US group, having wide experience in red microalgae biochemistry, molecular genetics and large-scale cultivation, and the development of viral vaccines and eukaryotic protein expression systems, respectively, was synergistic to produce a vaccine for fish that would be cost-effective and efficacious against the betanodavirus infection.
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Ridgway, Sam H. The Cetacean Central Nervous System. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada381704.

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Brierley-Bowers, Patricia, Scott Sexton, David Brown, and Mark Bates. Measures of Autonomic Nervous System. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada555376.

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Brierley-Bowers, Patricia, Scott Sexton, David Brown, and Mark Bates. Measures of Autonomic Nervous System Regulation. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada555865.

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Albquerque, Edson X. Molecular Targets for Organophosphates in the Central Nervous System. Fort Belvoir, VA: Defense Technical Information Center, June 2004. http://dx.doi.org/10.21236/ada426356.

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Rowland, Vernon, and Henry Gluck. Attention and Preparatory Processes in the Central Nervous System. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada171316.

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BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, December 2021. http://dx.doi.org/10.12731/er0519.07122021.

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The auroral activity indices AU, AL, AE, introduced into geophysics at the beginning of the space era, although they have certain drawbacks, are still widely used to monitor geomagnetic activity at high latitudes. The AU index reflects the intensity of the eastern electric jet, while the AL index is determined by the intensity of the western electric jet. There are many regression relationships linking the indices of magnetic activity with a wide range of phenomena observed in the Earth's magnetosphere and atmosphere. These relationships determine the importance of monitoring and predicting geomagnetic activity for research in various areas of solar-terrestrial physics. The most dramatic phenomena in the magnetosphere and high-latitude ionosphere occur during periods of magnetospheric substorms, a sensitive indicator of which is the time variation and value of the AL index. Currently, AL index forecasting is carried out by various methods using both dynamic systems and artificial intelligence. Forecasting is based on the close relationship between the state of the magnetosphere and the parameters of the solar wind and the interplanetary magnetic field (IMF). This application proposes an algorithm for describing the process of substorm formation using an instrument in the form of an Elman-type ANN by reconstructing the AL index using the dynamics of the new integral parameter we introduced. The use of an integral parameter at the input of the ANN makes it possible to simulate the structure and intellectual properties of the biological nervous system, since in this way an additional realization of the memory of the prehistory of the modeled process is provided.
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Lekhanya, Portia Keabetswe, and Kabelo Mokgalaboni. Exploring the effectiveness of vitamin B12 complex and alpha-lipoic acid as a treatment for diabetic neuropathy. Protocol for systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0167.

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Review question / Objective: Does Alpha-Lipoic acid increase the uptake of glucose for better glycaemic control? Does vitamin B12 and Alpha-Lipoic acid improve inflammation? The aim of the study is to explore the effectiveness of Vitamin B12 and Alpha-Lipoic Acid as a possible treatment for diabetic neuropathy with major emphasis on markers of inflammation and glucose metabolism. Condition being studied: Diabetic Neuropathy (DN) is a heterogeneous type of nerve damage associated with diabetes mellitus, the condition most often damages nerves in the legs and feet. It presents both clinically and sub-clinically affecting the peripheral nervous system as a result of an increase in glucose concentration which interferes with nerve signalling. After the discovery of insulin as a treatment for Diabetes Mellitus (DM), the prevalence of DN has since increased significantly due to DM patients having a longer life expectancy. It has been estimated that atleast 50% of DM patients will develop DN in their life, with approximately 20% of these patients experiencing neuropathic pain. Nerves are susceptible to changes in glucose concentrations and insulin makes it impossible for neurons to continue regulating glucose uptake.
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Butler, F. K., and Jr. Central Nervous System Oxygen Toxicity in Closed-Circuit Scuba Divers. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada170879.

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