Relevant bibliographies by topics / Immune system

Academic literature on the topic 'Immune system'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Immune system"

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R, Verma. "Understanding Emotional Roots of Human Immune System." Virology & Immunology Journal 5, no. 2 (April 1, 2021): 1–5. http://dx.doi.org/10.23880/vij-16000277.

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Decades of research has provided evidence that various psychological factors have a huge impact over the immune system which systematically stimulate it to give positive or negative responses and can time to time show several levels of modulations. These modulations or responses may enhance or may adversely affect the immune function of an individual. This review article focuses on affects and its roots to the human immune system, supported by various studies conducted in different times. The paper also discusses all the possible pathways by which emotion can connect with the immune function and vice-versa, how stress can affect the immune response as well as how the elements of psychological factors can modulate the immune function of an individual
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Herich, R., and M. Levkut. "Lactic acid bacteria, probiotics and immune system." Veterinární Medicína 47, No. 6 (March 30, 2012): 169–80. http://dx.doi.org/10.17221/5821-vetmed.

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Mucous membranes of the body are in direct contact with the outside environment and they are colonised by a large number of different bacteria. Through mucous membranes, the organism is in permanent con-tact with different antigens. Mucous surfaces are protected by many defence mechanisms that ensure a permanent and effective protection. They include the production of secretory IgA, the production of mucus, cytoprotective peptides, defensins etc. Indigenous microflora markedly affects the structure of the host mucous, its function, and the development of the whole immune system. Protective microflora prevents pathogens from adhering by competi-tion for substrates and places of adhesion, and they simultaneously produce antibacterial substances and stimulate the production of specific antibodies and mucus. The early colonisation of the gut with living micro-organisms is important for the development of the gut protection barrier. The number of immune and epithelial cells increases. Probiotic micro-organisms including lactic acid bacteria (LAB) positively influence the composition of the gut microflora; they stimulate the production of secretory IgA; they affect the targeted transportation of the luminal antigens to Peyer’s patches and they increase the production of IFN-g. LAB stimulate the activity of non-specific and specific immune cells. These properties of the LAB depend on the particular species or strain of bacteria. These singularities are probably determined by differences in the cell wall composition. LAB belong to a group of benefi-cially acting bacteria and they are able to eliminate damage to the gut microenvironment; they stimulate local and systemic immune responses and they maintain the integrity of the gut wall.
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Gupta, PD. "Age Gracefully: Keep the Immune System Healthy." Gastroenterology Pancreatology and Hepatobilary Disorders 5, no. 5 (September 10, 2021): 01–02. http://dx.doi.org/10.31579/2641-5194/046.

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Inflammation clock or iAge clock which was developed recently that can measure inflammation products in the body of an individual and can predict immunological decline. It is also capable of predicting incurring age-associated diseases. The quantity and quantity of these inflammatory products is also related physiological age. This will be useful information in the hands of researchers who are engaged in drug development. This will also be a helpful tool in therapeutics for clinicians.
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TANIGUCHI, KATSU. "Immune system." JOURNAL OF JAPAN SOCIETY FOR CLINICAL ANESTHESIA 13, no. 2 (1993): 99–104. http://dx.doi.org/10.2199/jjsca.13.99.

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Latham, Lynda. "Immune system." Nursing Standard 23, no. 39 (June 3, 2009): 59. http://dx.doi.org/10.7748/ns2009.06.23.39.59.c7041.

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Eaman, Michelle. "Immune system." Nursing Standard 15, no. 3 (October 4, 2000): 23. http://dx.doi.org/10.7748/ns.15.3.23.s39.

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Latham, Lynda. "Immune system." Nursing Standard 23, no. 39 (June 3, 2009): 59–60. http://dx.doi.org/10.7748/ns.23.39.59.s54.

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Stein, Marvin, Steven E. Keller, and Steven J. Schleifer. "Immune System." Psychiatric Clinics of North America 11, no. 2 (June 1988): 349–60. http://dx.doi.org/10.1016/s0193-953x(18)30502-1.

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Mahmood, Majid Mohammed. "A Future Life Requires a Super Immune System." Journal of Clinical Research and Reports 08, no. 05 (August 28, 2021): 01. http://dx.doi.org/10.31579/2690-1919/197.

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Despite the capabilities of the immune system to qualify for saving the host through its adaptive and performance capabilities, many disease-causing organisms have adapted in ways that ensure their persistence. This necessitates developing immune system enhancements which may require fundamental modifications that aren't limited to routine procedures.
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K, Heydari. "COVID-19, Immune System and Hi-D FACS." Virology & Immunology Journal 4, no. 4 (November 19, 2020): 1–3. http://dx.doi.org/10.23880/vij-16000260.

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Dissertations / Theses on the topic "Immune system"

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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 de GBM et de cerveaux normaux. Les interactions entre les gènes immuns ont été étudiées par une analyse de co-expression. Nous avons ensuite recherché une association entre les gènes immuns et la survie selon 3 méthodes statistiques, avant d’établir un modèle de risque mathématique validé sur plusieurs jeux de données. Enfin, nous avons étudié les cellules immunes infiltrantes sur des échantillons de gliomes dont 73 GBM par cytométrie de flux. Résultats : Un profil d’expression génique différent significativement entre le cerveau normal et le GBM a été établi de manière robuste, mais pas au sein des GBM. L’analyse de co-expression a mis en évidence 6 modules dont 5 sont enrichis en gènes ayant un lien avec la survie. Cent huit gènes immuns ont une association significative avec la survie et un prédicteur de risque à 6 gènes immuns a permis de distinguer deux groupes de patients en fonction de leur survie, y compris chez les patients dont la tumeur a un promoteur MGMT méthylé et dans le sous-groupe de GBM proneuraux. Enfin, nous avons mis en évidence, dans tous les échantillons de GBM analysés, une infiltration leucocytaire par des cellules macrophagiques/microgliales et parfois par des cellules lymphocytaires ou granulocytaires. L’infiltration de lymphocytes uniquement est associée significativement avec la survie dans notre cohorte. Conclusion : Des gènes, impliqués dans diverses fonctions immunes, sont différentiellement exprimés entre le cerveau normal et le GBM et au sein des GBM. Un prédicteur à 6 gènes robuste a été établi, il sépare les patients en 2 groupes bas et haut risque y compris ceux ayant un bon pronostic. Nous avons enfin mis en évidence dans une série de GBM une infiltration de cellules immunes, dont une infiltration lymphocytaire associée positivement à la survie
Background: Glioblastoma is the most common and lethal primary brain tumor in adults. Epidemiological studies have revealed that a history of allergies is a protective factor, thereby underlining the likely impact of the immune system on GBM. A number of transcriptomic studies have also identified immune signatures more or less associated with patient survival. Methods: In order to clarify and identify which immune-associated (IA) genes were the most involved in GBM, we studied the expression of 791 immune genes in GBM and normal brains samples. Interactions between IA genes were studied through an analysis of co-expression network. We then searched for a link between IA genes and patient survival according to 3 statistical methods, before defining a mathematical risk model based on different data sets. Finally, we studied the infiltrative immune population of 73 GBM by cytometry. Results: A significantly different profile of IA genes expression between healthy brains and GBM was consistently defined, but not among GBM. The analysis of co-expression network revealed 6 modules, 5 of which were enriched by genes associated with patient survival. 108 IA genes have a significant association with patient survival and the 6-IA gene risk predictor allowed us to distinguish two groups of patients according to their survival, including patients whose tumor had a methylated MGMT gene promoter and in the subset of proneural GBM. Finally, in every analyzed GBM sample, we have shown that there was a leukocyte infiltration by macrophages/microglial cells and sometimes by lymphocytes or granulocytes. Only the lymphocytes infiltration was significantly associated with the survival in our group of patients. Conclusion: IA genes that are involved in various immune functions are expressed differentially between healthy brains and GBM and amongst GBM. A robust 6-IA gene risk predictor was defined: it divides patients into two low and high risk groups, including those who have a good prognosis. Finally, we revealed an infiltration of immune cells in a series of GBM, only the lymphocytic infiltration was positively associated with patient survival
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Tan, Lee Aun. "Immune system interactions with phospholipids." Thesis, University of Oxford, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404272.

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Degabriele, Robert, University of Western Sydney, and of Informatics Science and Technology Faculty. "Stress and the immune network." THESIS_FIST_XXX_Degabriele_R.xml, 1999. http://handle.uws.edu.au:8081/1959.7/406.

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The clonal selection/defence paradigm appears unable to reconcile immune function with homeostatic activity whereas organismic homeostasis is central to immune function in the network/autopoiesis paradigm. The aim of this investigation, therefore, was to test the proposition that immune function, that is not clonally driven (central immune system activity), contributes to organismic homeostasis in collaboration with psychoneural responses. In one experiment sheep were confined, either in groups or individually, and the time course of changes in cortisol levels, behaviour and T lymphocyte numbers were monitored. In another study, soldiers were monitored during the stressful experience of recruit training. The combined results suggest that, at least when the immune response is not clonally driven, the psychoneural system and the central immune system may not be operating independently of each other but rather as sub-networks of the organismic network. Consequently, homeostasis is properly characterised as a property of the whole organism. In autopoietic terms, then, homeostasis could be defined as the maintenance of network stability.
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Howard, Jane Katherine. "Leptin, starvation and the immune system." Thesis, Imperial College London, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396338.

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林衛華 and Wai-wa Lam. "Multi-agent based human immune system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221117.

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Alhajoj, Sahal Abdulaziz Mohamed. "Anti-glucocorticoids and the immune system." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299490.

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Palmer, William Jack Philip. "Immune system evolution in arthropod genomes." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709120.

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Joshi, Ayush. "The germinal centre artificial immune system." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7532/.

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This thesis deals with the development and evaluation of the Germinal centre artificial immune system (GC-AIS) which is a novel artificial immune system based on advancements in the understanding of the germinal centre reaction of the immune system. The key research questions addressed in this thesis are: can an artificial immune system (AIS) be designed by taking inspiration from recent developments in immunology to tackle multi-objective optimisation problems? How can we incorporate desirable features of the immune system like diversity, parallelism and memory into this proposed AIS? How does the proposed AIS compare with other state of the art techniques in the field of multi-objective optimisation problems? How can we incorporate the learning component of the immune system into the algorithm and investigate the usefulness of memory in dynamic scenarios? The main contributions of the thesis are: • Understanding the behaviour and performance of the proposed GC-AIS on multiobjective optimisation problems and explaining its benefits and drawbacks, by comparing it with simple baseline and state of the art algorithms. • Improving the performance of GC-AIS by incorporating a popular technique from multi-objective optimisation. By overcoming its weaknesses the capability of the improved variant to compete with the state of the art algorithms is evaluated. • Answering key questions on the usefulness of incorporating memory in GC-AIS in a dynamic scenario.
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Young, G. R. "Endogenous retroviruses and the immune system." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1404381/.

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Initial sequencing of the human and mouse genomes revealed that substantial fractions were composed of retroelements (REs) and endogenous retroviruses (ERVs), the latter being relics of ancestral retroviral infection. Further study revealed ERVs constitute up to 10% of many mammalian genomes. Despite this abundance, comparatively little is known about their interactions, beneficial or detrimental, with the host. This thesis details two distinct sets of interactions with the immune system. Firstly, the presentation of ERV-derived peptides to developing lymphocytes was shown to exert a control on the immune response to infection with Friend Virus (FV). A self peptide encoded by an ERV negatively selected a significant fraction of polyclonal FV-specific CD4+ T cells and resulted in an impaired immune response. However, CD4+ T cell-mediated antiviral activity was fully preserved and repertoire analysis revealed a deletional bias according to peptide affinity, resulting in an effective enrichment of high-affinity CD4+ T cells. Thus, ERVs exerted a significant influence on the immune response, a mechanism that may partially contribute to the heterogeneity seen in human immune responses to retroviral infections. Secondly, a requirement for specific antibodies was shown in the control of ERVs. In a range of mice displaying distinct deficiencies in antibody production, products from the intestinal microbiota potentially induce ERV expression. Subsequent recombinational correction of a defective murine leukaemia virus (MLV) results in the emergence of infectious virus. In the long term, this leads to retrovirus-induced lymphomas and morbidity. ERVs, therefore, provide a potential link between the intestinal microbiota and a range of pathologies, including cancer. Finally, a new computational tool, REquest, was developed for use in the above studies. REquest allows the mining of retroelement (RE) and ERV expression data from the majority of commercially available human and murine microarray platforms and allows rapid hypothesis testing with publicly available data.
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McGlasson, Sarah Louise. "Regulation of the innate immune system." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/17911.

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The innate immune system is the first line of defence against pathogen invasion. The range of diseases that are caused by deficiencies in or deregulation of the innate immune system illustrates the importance of maintaining an effective balance between clearance of infectious agents and minimisation of inflammatory mediated tissue damage. This thesis explores the role of two proteins in the regulation of the innate immune system. Primarily, this work investigates the effect of human β-defensin 3 (hBD3) on the response to self-DNA and pathogenic DNA. HBD3 is an antimicrobial peptide (AMP), which has been shown to have a role in regulating the immune response; increased copy number of the region containing the gene for hBD3, DEFB103, is linked to an increased risk of psoriasis. Additionally, a similar cationic AMP, LL37, has been shown to exacerbate the pathogenesis of psoriasis by forming an immunogenic complex with self-DNA. This lead to the hypothesis that hBD3 may also affect the innate immune response to DNA. Therefore this project investigates what effect hBD3 has on the response of the innate immune system to self and pathogenic DNA. Flt-3 dendritic cells were used to show that whilst hBD3 increased cellular uptake of self-DNA, it did not convert self-DNA into an immune stimulus. However, hBD3 significantly exacerbated the response to bacterial DNA in a TLR9-dependent manner, also by increasing cellular uptake into FLDCs. The finding that hBD3 increased cellular uptake of both self- and pathogenic DNA suggests that at sites of infection or increased cell death, where DNA would be found in the extracellular environment, hBD3 may increase uptake into immune cells and could induce an increased immune response. Since increased hBD3 expression is induced by inflammatory stimuli, this process would cause a positive feedback loop of inflammation during bacterial infections. In conclusion, hBD3’s role in regulating the innate immune response to DNA is at the ligand-receptor level rather than affecting signalling pathways. Furthermore, hBD3 promotes the innate immune response to bacterial DNA by increasing the efficiency of cellular uptake possibly by inducing DNA aggregation. These results implicate a possible role for hBD3 in the earliest stages of psoriatic plaque development, which is often initiated or exacerbated by an infection, and this could be investigated further. Secondly, I investigated the innate immune function of an E3 ubiquitin ligase (E3L) not previously associated with human disease. Mutations in E3L have been identified in three microcephalic primordial dwarfism families; these patients also presented with recurrent respiratory illnesses. E3L has been implicated in the regulation of the innate immune system via interactions with signalling pathways downstream of the receptor, though its role is not clear. We hypothesised that E3L had a dual role both in regulating growth and cell division and in regulating the immune system. Primary patient fibroblasts did not demonstrate an altered cytokine response to bacterial or viral ligands, implying that E3L may have a specific function in immune cells. To investigate this further, and to provide a system to study E3L in vivo, two transgenic mouse lines were designed and engineered, firstly a conditional ‘knock-out’ designed to replicate some of the alternative isoforms of E3L seen in RT-PCRs, and secondly a ‘knock-in’ line to recapitulate the human mutation in exon 7 of E3L, R185X. These mouse lines should offer an insight into the developmental role for E3L, and contribute to establishing a potential role for E3L in the innate immune system. This thesis exemplifies the complexity of the innate immune system and the regulatory pathways that interact to maintain a delicate homeostasis preventing pathogenic inflammation. Understanding these regulatory mechanisms may shed light on the pathogenicity of diseases and identification of potential targets for therapeutics.
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Books on the topic "Immune system"

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Klosterman, Lorrie. Immune system. New York: Marshall Cavendish Benchmark, 2009.

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

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

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

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

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Thames, Susan. Our immune system. Vero Beach, FL: Rourke Pub., 2008.

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Parham, P. The immune system. 3rd ed. New York, NY: Garland Science, 2009.

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Orenstein, Neil S. The immune system. New Canaan, Conn: Keats Pub., 1989.

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Walker, Pam. The immune system. San Diego, Calif: Lucent Books, 2003.

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Edelson, Edward. The immune system. Philadelphia: Chelsea House Publishers, 2000.

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Book chapters on the topic "Immune system"

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Mazzeo, Robert S., and Erik R. Swenson. "Immune System." In High Altitude, 271–84. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8772-2_14.

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Nagy, E., E. Baral, and I. Berczi. "Immune System." In Estrogens and Antiestrogens I, 343–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58616-3_17.

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Lee, Wang Jae. "Immune System." In Vitamin C in Human Health and Disease, 75–88. Dordrecht: Springer Netherlands, 2019. http://dx.doi.org/10.1007/978-94-024-1713-5_4.

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Nahler, Gerhard. "immune system." In Dictionary of Pharmaceutical Medicine, 88. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_667.

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Feske, Stefan. "Immune System." In Store-operated Ca2+ entry (SOCE) pathways, 271–99. Vienna: Springer Vienna, 2011. http://dx.doi.org/10.1007/978-3-7091-0962-5_19.

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Nieman, David C. "Immune System." In Encyclopedia of Exercise Medicine in Health and Disease, 441–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-540-29807-6_108.

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Rieber, Ernst Peter, and Anton Haselbeck. "Immune System." In Biochemical Pathways, 325–56. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118657072.ch8.

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Gooch, Jan W. "Immune System." In Encyclopedic Dictionary of Polymers, 900. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_13987.

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Gupta, Surabhi, and Anand Kumar. "Immune System." In Basics of Human Andrology, 365–81. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3695-8_21.

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Raut, Mohan, and Mugdha Raut. "Immune System." In Lymphocyte Immunization Therapy (LIT) in Reproductive Failures, 15–29. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2960-1_3.

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Conference papers on the topic "Immune system"

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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 antibodies have been used as a tool to navigate robots as well as to establish inter-robot communication in an immune network approach. Similarly, co-stimulatory signal concentrations have been used to contextualize the environment, in a danger theory approach, to initiate and regulate the immuno responses. Immune metaphors have been translated into relevant computational models and simulated in search and rescue operation in an obstacle filled arena.
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McTabi, O., and M. Reichmuth. "The Immune System Wants What the Immune System Wants." In American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a1360.

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Stein, Tao, Erdong Chen, and Karan Mangla. "Facebook immune system." In the 4th Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1989656.1989664.

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Xuanwu Zhou. "Research on immune pathology in artificial immune system." In 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5192603.

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Li, Ziqing. "AUTO-IMMUNE DISEASES CAUSED BY OVERACTIVE IMMUNE SYSTEM." In World Congress on Medical and Pharmaceutical Research (WCMPR 2017). Volkson Press, 2018. http://dx.doi.org/10.26480/wcmpr.01.2018.06.08.

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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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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 the robotic task is analogous to an antigen in a biological immune system. Furthermore, stimulation and suppression in an immune system correspond to communication among robots. The artificial immune system will select the appropriate number of antibodies autonomously to eliminate the antigens. The developed method of multirobot coordination is verified by computer simulation.
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Chen, Yuebing, Xiaofei Wang, Quan Zhang, and Chaojing Tang. "Unified Artificial Immune System." In 2013 5th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2013. http://dx.doi.org/10.1109/cicn.2013.135.

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Omoumi, Farid H., Muhammad U. Ghani, Molly D. Wong, Yuchen Qiu, Yuhua Li, and Hong Liu. "The feasibility of utilizing the mid-energy in-line phase-contrast imaging system in the breast x-ray imaging." In Biophotonics and Immune Responses XV, edited by Wei R. Chen. SPIE, 2020. http://dx.doi.org/10.1117/12.2552515.

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Zheng, Ruijuan, and Huiqiang Wang. "A Computer Immune System: LAN Immune System Model based on Host (LISMH)." In 2006 International Multi-Symposiums on Computer and Computational Sciences (IMSCCS). IEEE, 2006. http://dx.doi.org/10.1109/imsccs.2006.144.

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Reports on the topic "Immune system"

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

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

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Huntley, Nichole F., C. Martin Nyachoti, and John F. Patience. Immune System Stimulation Increases Nursery Pig Maintenance Energy Requirements. Ames (Iowa): Iowa State University, January 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. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada237613.

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Christopher Dana Lynn, Christopher Dana Lynn. Does tattooing benefit the immune system? The inking of immunity. Experiment, April 2018. http://dx.doi.org/10.18258/11127.

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Nakasone, Elizabeth S. Understanding the Effects of Cytotoxic Chemotherapeutics on the Innate Immune System. Fort Belvoir, VA: Defense Technical Information Center, March 2012. http://dx.doi.org/10.21236/ada570818.

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Skormin, Victor A. Analysis of Active Response in the Immune System with Computer Network Considerations. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada444230.

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Poston, T. M. Feasibility studies of using the Catfish Immune System to produce monoclonal antibodies. Office of Scientific and Technical Information (OSTI), March 1987. http://dx.doi.org/10.2172/6714970.

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Modis, Yorgo. The Structural Basis of Pathogen Recognition by TLR Receptors of the Innate Immune System. Fort Belvoir, VA: Defense Technical Information Center, August 2008. http://dx.doi.org/10.21236/ada495581.

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Keren, David F. An Investigation of the Memory Response of the Local Immune System to Shigella Antigens. Fort Belvoir, VA: Defense Technical Information Center, October 1991. http://dx.doi.org/10.21236/ada247107.

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