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Relevant bibliographies by topics / Immune System's

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Academic literature on the topic 'Immune System's'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Immune System's"

1

Scanlon, Seth Thomas. "The immune system's first steps." Science 368, no. 6491 (2020): 598–99. http://dx.doi.org/10.1126/science.abc3140.

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Travis, J. "Tracing the immune system's evolutionary history." Science 261, no. 5118 (1993): 164–65. http://dx.doi.org/10.1126/science.8327890.

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Spatola, M., and R. A. Du Pasquier. "Immune system's role in viral encephalitis." Revue Neurologique 170, no. 10 (2014): 577–83. http://dx.doi.org/10.1016/j.neurol.2014.07.005.

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Leslie, Mitch. "The Immune System's Compact Genomic Counterpart." Science 339, no. 6115 (2013): 25–27. http://dx.doi.org/10.1126/science.339.6115.25.

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Bell, Elaine. "DCs: the immune system's flexible friend." Nature Reviews Immunology 3, no. 8 (2003): 604. http://dx.doi.org/10.1038/nri1155.

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Ehrenberg, Rachel. "Immunology: Fungi aid immune system's fight." Science News 173, no. 10 (2009): 157. http://dx.doi.org/10.1002/scin.2008.5591731016.

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Stefan, Riley. "Cancer Immunotherapy and its Benefit: An Editorial." Cancer Medicine Journal 1, no. 1 (2018): 37–38. http://dx.doi.org/10.46619/cmj.2018.1-1005.

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Cancer immunotherapy is also known as immuno-oncology which is the artificial activation of the immune system to fight against cancer, improving on the immune system's natural ability to fight the germs and disease causing cancer. Immunotherapy can be classified as into three categories such as active, passive and hybrid.

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Zhang, Zheng. "Analysis of fault self-healing in signal conditioning systems based on immune principles." Journal of Physics: Conference Series 3060, no. 1 (2025): 012034. https://doi.org/10.1088/1742-6596/3060/1/012034.

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Abstract In the study of fault self-healing in signal conditioning systems of electromechanical equipment, the traditional signal conditioning system is composed of an amplification circuit and a filtering circuit. This paper analyzes the structural characteristics, parameter properties, and typical fault features of the signal conditioning system and establishes a health factor group to assess the system's anti-aging performance. A model of the signal conditioning system is established, and the system's faults are analyzed. Simulation experiments on the fault self-healing of the signal condit

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Schild, Hansjörg, and Hans-Georg Rammensee. "gp96—The immune system's Swiss army knife." Nature Immunology 1, no. 2 (2000): 100–101. http://dx.doi.org/10.1038/77770.

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Lanzavecchia, Antonio. "Exploiting the immune system's own strategies for immunotherapy." Immunology Today 9, no. 6 (1988): 167–68. http://dx.doi.org/10.1016/0167-5699(88)91291-1.

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Dissertations / Theses on the topic "Immune System's"

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Singh-Jasuja, Harpreet. "The heat shock protein Gp96 the immune system's Swiss army knife /." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10028537.

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Vauleon, Elodie. "Implications des gènes immuns et des cellules immunes dans le glioblastome." Thesis, Rennes 1, 2013. http://www.theses.fr/2013REN1B005/document.

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Introduction : Le glioblastome (GBM) est la tumeur cérébrale primitive la plus fréquente et la plus grave de l’adulte. Des études épidémiologiques ont mis en évidence que les antécédents d’allergie sont un facteur protecteur, soulignant le possible impact de l’immunité sur le GBM. Plusieurs études transcriptomiques ont également mis en évidence des signatures immunes plus ou moins associées à la survie. Matériel et méthodes : Pour clarifier ce lien et déterminer quels gènes immuns étaient les plus impliqués dans le GBM, nous avons étudié l’expression de 791 gènes immuns dans des échantillons d

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Rider, Mark Sterling. "Effect of Cell-Specific, Music-Mediated Mental Imagery on Secretory Immunoglobulin A (sIgA)." Thesis, University of North Texas, 1988. https://digital.library.unt.edu/ark:/67531/metadc331777/.

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This study was an investigation of the effects of physiologically-oriented mental imagery on immune functioning. College students with normal medical histories were randomly selected to one of three groups. Subjects in Group 1 participated in short educational training on the production of secretory immunoglobulin A. They were then tested on salivary IgA, skin temperature and the Profile of Mood States (POMS) before and after listening to a 17-minute tape of imagery instructions with specially-composed background "entrainment" music, designed to enhance imagery. Subjects in Group 2 (placebo co

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Tjandra, Anggraeni S. "Studies on insect immune systems." Thesis, Swansea University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.639247.

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Improvements in the purification of <i>Galleria mellonella </i> haemocytes using Percoll gradients are described. This procedure resulted in 95% purity for plasmatocytes, 89% for granular cells and 69% for spherule cells. Using unwashed haemocytes taken directly off the Percoll gradients for making monolayers showed that Ca<SUP>2+</SUP> ion concentration, incubation time and temperature affect the number of cells attaching to the coverslips. The inability of these unwashed cells to undertake phagocytosis is discussed. In contrast, separated and washed haemocytes were highly phagocytic although

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Koutsos, Elizabeth Allison. "Carotenoids in avian immune systems /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2002. http://uclibs.org/PID/11984.

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Myint, Aye Mu. "Neurochemistry immune systems interaction in depressions." Maastricht : Maastricht : Universitaire Pers Maastricht ; University Library, Universiteit Maastricht [host], 2007. http://arno.unimaas.nl/show.cgi?fid=6834.

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Nowak, Tomasz Jerzy. "Immune buildings: development of eWAR systems." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18427.

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We are living in an increasingly complex world. Threats to human life resulting from chemical attacks, as well as terrorism are real. Consequences of such acts are devastating. The main objectives of an Early Warning and Response System (eWAR) are detection, identification, quantification and neutralization of dangerous chemical agents. The primary goal of this project is to create a system which can prevent the spread of chemical agents via a ventilation system of a public building (e.g., a school, a hospital or a government building). Our approach is realistic. The proposed system should be

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SWIATCZAK, BARTLOMIEJ JAROSLAW. "SYSTEMIC FEATURES OF IMMUNE RECOGNITION." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/173418.

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The gut is home to a great number of microbes. The immune system, to protect the body, must discriminate between the pathogenic and non-pathogenic microbes and respond to them in different ways. How the mucosal immune system manages to make this distinction is poorly understood. Here, we explore whether the decision to respond in a certain way to a microorganism is made by single types of cells and molecules or by the collective activity of various kinds of cells and molecules in a given anatomical compartment. We show here that the distinction between pathogenic and non-pathogenic microbes is

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Maree, Charl. "Diagnostic monitoring of dynamic systems using artificial immune systems." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/1780.

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Thesis (MScEng (Process Engineering))--University of Stellenbosch, 2006.<br>The natural immune system is an exceptional pattern recognition system based on memory and learning that is capable of detecting both known and unknown pathogens. Artificial immune systems (AIS) employ some of the functionalities of the natural immune system in detecting change in dynamic process systems. The emerging field of artificial immune systems has enormous potential in the application of fault detection systems in process engineering. This thesis aims to firstly familiarise the reader with the various cu

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Mayer, Andreas. "Optimal immune systems : a ressource allocation and information processing view of immune defense." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE026/document.

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Les organismes biologiques ont développé divers mécanismes immunitaires afin de se protéger des pathogènes. Nous développons ici des modèles mathématiques de systèmes immunitaires, adaptés de façon optimale aux statistiques des pathogènes. Au delà des détails moléculaires, ces mécanismes immunitaires diffèrent dans la manière d'acquérir, de réguler et de transmettre une protection immunitaire ; différences qui pourraient s'avérer essentielles pour la survie à long terme. Afin d'expliquer la diversité des stratégies qui sont observées, nous comparons l'adaptation à long terme de populations en

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Books on the topic "Immune System's"

1

Freitas, Antonio A. de. Tractus immuno-logicus: A brief history of the immune system. Landes Bioscience, 2009.

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Freitas, Antonio A. de. Tractus immuno-logicus: A brief history of the immune system. Landes Bioscience, 2009.

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Freitas, Antonio A. de. Tractus immuno-logicus: A brief history of the immune system. Landes Bioscience, 2009.

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Freitas, Antonio A. de. Tractus immuno-logicus: A brief history of the immune system. Landes Bioscience, 2009.

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Jackson, Andy. Immune systems. Transit Lounge Publishing, 2015.

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Hart, Emma, Chris McEwan, Jon Timmis, and Andy Hone, eds. Artificial Immune Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14547-6.

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Andrews, Paul S., Jon Timmis, Nick D. L. Owens, et al., eds. Artificial Immune Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03246-2.

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Jacob, Christian, Marcin L. Pilat, Peter J. Bentley, and Jonathan I. Timmis, eds. Artificial Immune Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11536444.

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Liò, Pietro, Giuseppe Nicosia, and Thomas Stibor, eds. Artificial Immune Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22371-6.

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de Castro, Leandro Nunes, Fernando José Von Zuben, and Helder Knidel, eds. Artificial Immune Systems. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73922-7.

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Book chapters on the topic "Immune System's"

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Hilaire, Vincent, Abderrafiâa Koukam, and Sebastian Rodriguez. "Immune Systems." In Natural Computing Series. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17348-6_10.

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Sedlacek, H. Harald, and Tarik Möröy. "Systemic Inflammatory Reaction Syndrome." In Immune Reactions. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79558-9_17.

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Du, Ke-Lin, and M. N. S. Swamy. "Artificial Immune Systems." In Search and Optimization by Metaheuristics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41192-7_10.

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Aickelin, Uwe, Dipankar Dasgupta, and Feng Gu. "Artificial Immune Systems." In Search Methodologies. Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-6940-7_7.

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Brabazon, Anthony, Michael O’Neill, and Seán McGarraghy. "Artificial Immune Systems." In Natural Computing Algorithms. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-43631-8_16.

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Greensmith, Julie, Amanda Whitbrook, and Uwe Aickelin. "Artificial Immune Systems." In Handbook of Metaheuristics. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1665-5_14.

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Sotiropoulos, Dionisios N., and George A. Tsihrintzis. "Artificial Immune Systems." In Machine Learning Paradigms. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47194-5_7.

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Kakas, Antonis C., David Cohn, Sanjoy Dasgupta, et al. "Artificial Immune Systems." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_33.

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Barbakh, Wesam Ashour, Ying Wu, and Colin Fyfe. "Artificial Immune Systems." In Non-Standard Parameter Adaptation for Exploratory Data Analysis. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04005-4_10.

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Milgroom, Michael G. "Vertebrate Immune Systems." In Biology of Infectious Disease. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-38941-2_9.

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Conference papers on the topic "Immune System's"

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Dost, Shahi, Ariam Rivas, Hanan Begali, et al. "Unraveling the Hepatitis B Cure: A Hybrid AI Approach for Capturing Knowledge about the Immune System's Impact." In K-CAP '23: Knowledge Capture Conference 2023. ACM, 2023. http://dx.doi.org/10.1145/3587259.3627558.

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Raza, Ali, and Benito R. Fernandez. "Artificial Immune System for Heterogeneous Mobile Robotic Systems." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4264.

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Artificial immune system draws its inspiration from the biological immune functions mainly those of humans. Recently, newer definitions of biological immune system have appeared and gained significance because of their strong immunological roots e.g. danger theory. This raises the need to look into earlier work on immuno-inspired robotics. Especially, older approach of idiotypic-network must be compared with the newer approach of danger-theory. Authors in this research have successfully applied both the definitions on heterogeneous mobile robotic systems. Idiotypic connections between antibodi

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Veisi, Zahra, Samin Ravanshadi, Heydar Khadem, Zahra Veisi, Samin Ravanshadi, and Heydar Khadem. "Investigation of the Effect of Adding Stem Cells-as an Therapeutic Suggestion-on the Immune System's Response to the Cancerous Cells: A Mathematical Approach." In 2017 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2017. http://dx.doi.org/10.1109/icbme.2017.8430249.

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Ortutay, Csaba, Markku Siermala, Kathryn Rannikko, and Mauno Vihinen. "Immunome, Immtree and Immunity: Databases for Systems Biology of Immune System." In 2007 IEEE International Workshop on Genomic Signal Processing and Statistics. IEEE, 2007. http://dx.doi.org/10.1109/gensips.2007.4365844.

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Mohamed Elsayed, Samir A., Reda A. Ammar, and Sanguthevar Rajasekaran. "Artificial Immune Systems." In the 27th Annual ACM Symposium. ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2245326.

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Nair, Adarsh G., Sanjeev Agarwal, and K. Krishnamurthy. "Immunology Based Multi-Robot Collaboration for Countermine Operations." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-82707.

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Past studies have shown that mechanisms employed by biological systems can motivate development of algorithms for coordination of distributed systems. In this study, an immune system based collaboration is established between heterogeneous robots to perform countermine operations. Heterogeneity of the robots is defined based on their capabilities to detect and/or mark location of mines, and diffuse them. Concepts related to an immune system like clonal expansion, primary and secondary response, immune memory and antigen specificity are exploited in this study. The developed methodology is vali

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Khan, Muhammad Tahir, and Clarence de Silva. "Immune System-Inspired Dynamic Multi-Robot Coordination." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87715.

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This paper investigates multi-robot coordination for the deployment of autonomous mobile robots in order to carry out a specific task. A key to utilizing of the full potential of cooperative multi-robot systems is effective and efficient multi-robot coordination. The paper presents a novel method of multi-robot coordination based on an Artificial Immune System. The developed approach relies on Jern’s Immune Network Theory, which concerns how an antibody stimulates or suppresses another antibody and recognizes non-self antigens. In the present work, the robots are analogous to antibodies and th

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Bulat, Olga. "Nutrition as a factor of maintaining immune homeostasis." In Conferința științifică națională cu participare internațională "Integrare prin cercetare și inovare", dedicată Zilei Internaționale a Științei pentru Pace și Dezvoltare. Moldova State University, 2025. https://doi.org/10.59295/spd2024n.36.

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Immune homeostasis is a balance between immunological tolerance and inflammatory immune responses, which is a key factor in maintaining the health of the body. Many endo and exogenous factors affect immune homeostasis. One such factor is nutrition. Macro and micronutrients found in food products in turn affect all body systems, including the immune system. This article analyzes the data in order to identify the main macro and microelements involved in maintaining immune homeostasis. It was found that nutrients, from which proteins, fats, carbohydrates can be isolated as macronutrients, as well

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"[Front cover]." In 2015 International Workshop on Artificial Immune Systems (AIS). IEEE, 2015. http://dx.doi.org/10.1109/aisw.2015.7469224.

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"Plenary Speakers." In 2015 International Workshop on Artificial Immune Systems (AIS). IEEE, 2015. http://dx.doi.org/10.1109/aisw.2015.7469228.

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Reports on the topic "Immune System's"

1

Cook, Rebecca S. Targeting the Immune System's Natural Response to Cell Death to Improve Therapeutic Response in Breast Cancers. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada609024.

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Liu, Xuechun, Yueping Jiang, Xueguo Sun, Jianjian Zhao, Lingyun Zhang, and Xue Jing. Prognostic value of the preoperative systemic immune-inflammation index in patients with cholangiocarcinoma: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.4.0015.

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Review question / Objective: This meta-analysis is aimed to investigate the prognostic value of the preoperative systemic immune-inflammation index in patients with cholangiocarcinoma. Condition being studied: Surgical resection remains the mainstay of curative therapy for CCA. The systemic immune-inflammation index (SII) is a significant prognostic factor in some cancer types. However, the prognostic value of SII in patients with cholangiocarcinoma (CCA) is still not clear. This meta-analysis is aimed to investigate the prognostic value of the preoperative systemic immune-inflammation index i

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Baras, J., C. Berenstein, A. Ephremides, et al. Distributed Immune Systems for Wireless Network Information Assurance. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada532147.

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Srinivas, Mangala. Mismatched earrings : The immune system in motion. Wageningen University & Research, 2022. http://dx.doi.org/10.18174/573928.

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Jadhav, Avadhoot. Towards a Universal Immunotherapy. New Science, 2022. http://dx.doi.org/10.56416/591plq.

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Perez-Polo, J. R. Nerve Growth Factor Effects on the Immune System. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229052.

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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, 2017. http://dx.doi.org/10.6027/na2017-919.

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Peng, Anyi, Jianan Yao, and Lin Miao. Prognostic Role of Systemic Immune-Inflammation Index in Gastric Cancer Treated With Immune Checkpoint Inhibitors: A Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.12.0036.

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Huntley, Nichole F., C. Martin Nyachoti, and John F. Patience. Immune System Stimulation Increases Nursery Pig Maintenance Energy Requirements. Iowa State University, 2017. http://dx.doi.org/10.31274/ans_air-180814-344.

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Chambers, Donald A. Interactions of Neuromodulators with Cells of the Immune System. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada237613.

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