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Relevant bibliographies by topics / Neural precursor

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Academic literature on the topic 'Neural precursor'

Author: Grafiati

Published: 25 June 2021

Last updated: 9 February 2022

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Journal articles on the topic "Neural precursor"

1

Jarman, A. P., M. Brand, L. Y. Jan, and Y. N. Jan. "The regulation and function of the helix-loop-helix gene, asense, in Drosophila neural precursors." Development 119, no. 1 (September 1, 1993): 19–29. http://dx.doi.org/10.1242/dev.119.1.19.

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asense is a member of the achaete-scute complex (AS-C) of helix-loop-helix genes involved in Drosophila neurogenesis. Unlike the other AS-C members, which are expressed in subsets of the ectodermal areas (proneural clusters) that give rise to neural precursors, asense is one of a number of genes that are specifically expressed in the neural precursors themselves (neural precursor genes). We have identified a mutant asense phenotype that may reflect this later expression pattern. As a step in understanding the determination of neural precursors from the proneural clusters, we have investigated the potential role of the AS-C products as direct transcriptional activators of neural precursor genes by analysing the regulation of asense. Using genomic rescues and asense-lacZ fusion genes, the neural precursor regulatory element has been identified. We show that this element contains binding sites for AS-C/daughterless heterodimers. Delection of these sites reduces the expression from the fusion gene, but significant expression is still achieved, pointing to the existence of other regulators of asense in addition to the AS-C. asense differs from the other AS-C members in its expression pattern, regulation, mutant phenotype and some DNA-binding properities.

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Urun, Fatma Rabia, and Adrian W. Moore. "Visualizing Cell Cycle Phase Organization and Control During Neural Lineage Elaboration." Cells 9, no. 9 (September 17, 2020): 2112. http://dx.doi.org/10.3390/cells9092112.

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In neural precursors, cell cycle regulators simultaneously control both progression through the cell cycle and the probability of a cell fate switch. Precursors act in lineages, where they transition through a series of cell types, each of which has a unique molecular identity and cellular behavior. Thus, investigating links between cell cycle and cell fate control requires simultaneous identification of precursor type and cell cycle phase, as well as an ability to read out additional regulatory factor expression or activity. We use a combined FUCCI-EdU labelling protocol to do this, and then apply it to the embryonic olfactory neural lineage, in which the spatial position of a cell correlates with its precursor identity. Using this integrated model, we find the CDKi p27KIP1 has different regulation relative to cell cycle phase in neural stem cells versus intermediate precursors. In addition, Hes1, which is the principle transcriptional driver of neural stem cell self-renewal, surprisingly does not regulate p27KIP1 in this cell type. Rather, Hes1 indirectly represses p27KIP1 levels in the intermediate precursor cells downstream in the lineage. Overall, the experimental model described here enables investigation of cell cycle and cell fate control linkage from a single precursor through to a lineage systems level.

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Henion, P. D., and J. A. Weston. "Timing and pattern of cell fate restrictions in the neural crest lineage." Development 124, no. 21 (November 1, 1997): 4351–59. http://dx.doi.org/10.1242/dev.124.21.4351.

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The trunk neural crest of vertebrate embryos is a transient collection of precursor cells present along the dorsal aspect of the neural tube. These cells migrate on two distinct pathways and give rise to specific derivatives in precise embryonic locations. One group of crest cells migrates early on a ventral pathway and generates neurons and glial cells. A later-dispersing group migrates laterally and gives rise to melanocytes in the skin. These observations raise the possibility that the appearance of distinct derivatives in different embryonic locations is a consequence of lineage restrictions specified before or soon after the onset of neural crest cell migration. To test this notion, we have assessed when and in what order distinct cell fates are specified during neural crest development. We determined the proportions of different types of precursor cells in cultured neural crest populations immediately after emergence from the neural tube and at intervals as development proceeds. We found that the initial neural crest population was a heterogeneous mixture of precursors almost half of which generated single-phenotype clones. Distinct neurogenic and melanogenic sublineages were also present in the outgrowth population almost immediately, but melanogenic precursors dispersed from the neural tube only after many neurogenic precursors had already done so. A discrete fate-restricted neuronal precursor population was distinguished before entirely separate fate-restricted melanocyte and glial precursor populations were present, and well before initial neuronal differentiation. Taken together, our results demonstrate that lineage-restricted subpopulations constitute a major portion of the initial neural crest population and that neural crest diversification occurs well before overt differentiation by the asynchronous restriction of distinct cell fates. Thus, the different morphogenetic and differentiative behavior of neural crest subsets in vivo may result from earlier cell fate-specification events that generate developmentally distinct subpopulations that respond differentially to environmental cues.

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Namihira, Masakazu, Jun Kohyama, Katsunori Semi, Tsukasa Sanosaka, Benjamin Deneen, Tetsuya Taga, and Kinichi Nakashima. "Committed Neuronal Precursors Confer Astrocytic Potential on Residual Neural Precursor Cells." Developmental Cell 16, no. 2 (February 2009): 245–55. http://dx.doi.org/10.1016/j.devcel.2008.12.014.

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Fike, John R., Radoslaw Rola, and Charles L. Limoli. "Radiation Response of Neural Precursor Cells." Neurosurgery Clinics of North America 18, no. 1 (January 2007): 115–27. http://dx.doi.org/10.1016/j.nec.2006.10.010.

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Gangemi, Rosaria M. R., Antonio Daga, Daniela Marubbi, Nadia Rosatto, Maria C. Capra, and Giorgio Corte. "Emx2 in adult neural precursor cells." Mechanisms of Development 109, no. 2 (December 2001): 323–29. http://dx.doi.org/10.1016/s0925-4773(01)00546-9.

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Monje, Michelle L., Shinichiro Mizumatsu, John R. Fike, and Theo D. Palmer. "Irradiation induces neural precursor-cell dysfunction." Nature Medicine 8, no. 9 (August 5, 2002): 955–62. http://dx.doi.org/10.1038/nm749.

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Nicolas, M., and B. A. Hassan. "Amyloid precursor protein and neural development." Development 141, no. 13 (June 24, 2014): 2543–48. http://dx.doi.org/10.1242/dev.108712.

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Pi, Haiwei, and Cheng-Ting Chien. "Getting the edge: neural precursor selection." Journal of Biomedical Science 14, no. 4 (March 15, 2007): 467–73. http://dx.doi.org/10.1007/s11373-007-9156-4.

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Soares, Juliana, Glauber R. de S. Araujo, Cintia Santana, Diana Matias, Vivaldo Moura-Neto, Marcos Farina, Susana Frases, et al. "Membrane Elastic Properties during Neural Precursor Cell Differentiation." Cells 9, no. 6 (May 26, 2020): 1323. http://dx.doi.org/10.3390/cells9061323.

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Neural precursor cells differentiate into several cell types that display distinct functions. However, little is known about how cell surface mechanics vary during the differentiation process. Here, by precisely measuring membrane tension and bending modulus, we map their variations and correlate them with changes in neural precursor cell morphology along their distinct differentiation fates. Both cells maintained in culture as neural precursors as well as those plated in neurobasal medium reveal a decrease in membrane tension over the first hours of culture followed by stabilization, with no change in bending modulus. During astrocyte differentiation, membrane tension initially decreases and then increases after 72 h, accompanied by consolidation of glial fibrillary acidic protein expression and striking actin reorganization, while bending modulus increases following observed alterations. For oligodendrocytes, the changes in membrane tension are less abrupt over the first hours, but their values subsequently decrease, correlating with a shift from oligodendrocyte marker O4 to myelin basic protein expressions and a remarkable actin reorganization, while bending modulus remains constant. Oligodendrocytes at later differentiation stages show membrane vesicles with similar membrane tension but higher bending modulus as compared to the cell surface. Altogether, our results display an entire spectrum of how membrane elastic properties are varying, thus contributing to a better understanding of neural differentiation from a mechanobiological perspective.

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Dissertations / Theses on the topic "Neural precursor"

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Piao, Jinghua. "Human neural precursor cells in spinal cord repair /." Stockholm, 2007. http://diss.kib.ki.se/2007/978-91-7357-288-0/.

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Heins, Nico. "Intrinsic fate determinants of neural and multipotent CNS precursor cells." Diss., lmu, 2005. http://nbn-resolving.de/urn:nbn:de:bvb:19-45202.

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Aarum, Johan. "Interactions between mouse CNS cells: microglia and neural precursor cells /." Stockholm, 2004. http://diss.kib.ki.se/2004/91-7140-120-2/.

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Callard, N. A. L. "Time-lapse studies of neural precursor cell divisions in vitro." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1444131/.

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The entire adult central nervous system (CNS) derives from an initially small population of apparently homogeneous neuroepithelial precursor cells (NEPs) which produce specific differentiating cell types in a highly organised fashion with respect to both the time and place at which they are generated. A unifying phenomenon throughout the CNS is that neurons are always generated before glia. To better understand what mechanisms might be involved, the dynamics of precursor lineages need to be described. Here, single NEPs from the murine dorsal embryonic neocortex were cultured at clonal density and filmed using time-lapse microscopy to monitor their divisions over time. The progeny they gave rise to were identified by immunocytochemical methods and expression of the oligodendrocyte lineage-affiliated transcription factor, olig2 was directly observed by using a transgenic mouse that expressed enhanced green fluorescent protein (EGFP) in olig2-expressing cells. (The transgenic mouse line was created by phage artificial chromosome (PAC) transgenesis). This data enabled lineage trees for individual clones to be retrospectively drawn to include the timing of olig2 expression alongside the final identification of the daughter cells produced. In this way, the effects of different growth factors with respect to the induction of glial in preference to neuronal phenotypes were assessed. Using this system it was possible to determine what cell types could be derived from a single precursor and with what pattern within a lineage olig2 might be expressed under different culture conditions. Both FGF-2 and a Sonic Hedgehog agonist were seen to produce mixed clones in which olig2 was transcribed at early branch points within a lineage and later down-regulated in a selection of daughter cells. This means that olig2 expression does not denote commitment to the oligodendrocyte lineage and, furthermore, that induction is a sporadic event which seems to be dictated at the level of the individual progenitor cells rather than by an intrinsic cell-timer dictated within the original NEP.

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Stoney, Patrick Niall. "The roles of Pax6 in neural precursor migration and axon guidance." Thesis, University of Aberdeen, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=92509.

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The ability of migrating neurons and growth cones to navigate through their environment is crucial for the correct development of the brain. Cells and growth cones may be guided by electrical, chemical or topographical cues in their environment. Pax6 is a transcription factor vital for brain development. Pax6-/- mutant mice die perinatally with defects in neuronal proliferation and differentiation, cortical cell migration and axon guidance, yet it is not clear which guidance cues Pax6-/- mutant neurons fail to interpret. Dissociated cultured cells were used to study the cell-autonomous effects of Pax6 mutation on guidance of growth cones and migrating neural precursors by environmental cues. Neurites from mouse embryonic cortical neurons aligned perpendicular to 1 μm-wide, 130 nm-deep substratum grooves. Pax6-/- mutation abolished contact-mediated neurite guidance by these grooves. Laminin induced a switch from perpendicular to parallel alignment to grooves, via a β1 integrin-independent mechanism. Blocking cAMP signalling abolished perpendicular alignment to polylysine-coated grooves, but enhanced parallel alignment to laminin-coated grooves. Pax6 null mutation or overexpression also caused specific defects in contact-guided migration by cortical cells. An electric field applied to E16.5 cortical neurons increased the frequency of extension of neurites aligned perpendicular to the field axis. Pax6-/- mutant cells responded to an electric field with reduced anodal extension, but no significant increase in perpendicular neurite extension. Electrical cues were prioritised over topographical cues when presented in combination. Taken together, data suggest that Pax6 mutant cortical cells do not completely lack the ability to detect extracellular guidance cues, but they respond differently to wild-type cells. In combination with other defects identified in the cortex, this may contribute to the cell migration and axon guidance phenotypes in the brain of the Pax6-/- embryo. This study also identified novel Pax6 expression in the trigeminal ganglion, where it may regulate axon guidance and neurogenesis.

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Jain, Meena. "Expanded neural precursor cells for the restorative therapy of Parkinson's disease." Thesis, University of Cambridge, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.431545.

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Lazic, Stanley Edward. "Endogenous neural precursor cells in transgenic mouse models of neurodegenerative disorders." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613659.

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Horiguchi, Satoshi. "Neural precursor cells derived from human embryonic brain retain regional specificity." Kyoto University, 2005. http://hdl.handle.net/2433/144744.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(医学)
甲第11420号
医博第2843号
新制||医||891(附属図書館)
23063
UT51-2005-D170
京都大学大学院医学研究科脳統御医科学系専攻
(主査)教授影山龍一郎, 教授大森治紀, 教授金子武嗣
学位規則第4条第1項該当

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Wylie, Crystal A. "P107 negatively regulates the neural precursor pool by repressing Hes1 transcription." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27198.

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Stem cells are defined by their multipotentiality and their long-term ability to self-renew. P107, a member of the pocket protein family of cell cycle regulators has previously been shown in our laboratory to negatively regulate neural precursor cell number and self-renewal (Vanderluit et al., 2004). In this study, we investigated the mechanism by which p107 regulates the neural precursor pool by examining interactions between p107 and the Notch pathway, which has also been shown to regulate the neural stem cell population (Nakamura et al., 2000; Ohtsuka et al., 2001; Hitoshi et al., 2002b). We found an increase in both the transcript and protein levels of Hes1 in p107-/- brains using in situ hybridization and western blot analysis. Examination of the Hes1 promoter revealed three putative E2F binding sites, which were subsequently found to bind E2F3 and E2F4 using chromatin immunoprecipitation. P107 was found to significantly repress Hes1 promoter activity in the luciferase reporter assay, and finally, using the primary neurosphere assay we showed that removal of Hes1 from p107-/- neurospheres restores the number of neurosphere forming cells to wildtype levels. Our results suggest that p107 represses Hes1 transcription through E2F, and demonstrate that an upregulation of Hes1 is responsible for the increased neural precursor pool in p107-/- mice.

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Maciaczyk, Jaroslaw. "Human fetal neural precursor cells: a putative cell source for neurorestorative strategies." [S.l. : s.n.], 2005. http://nbn-resolving.de/urn:nbn:de:bsz:25-opus-57885.

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Books on the topic "Neural precursor"

1

M, Nitsch Roger, and International Study Group on the Pharmacology of Memory Disorders Associated with Aging. Meeting, eds. Alzheimer's disease: Amyloid precursor proteins, signal transduction, and neuronal transplantation. New York, N.Y: New York Academy of Sciences, 1993.

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2

Growdon, John H., and Roger M. Nitsch. Alzheimer's Disease: Amyloid Precursor Proteins, Signal Transduction, and Neuronal Transplantation (Annals of the New York Academy of Sciences). New York Academy of Sciences, 1993.

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Growdon, John H., and Roger M. Nitsch. Alzheimer's Disease: Amyloid Precursor Proteins, Signal Transduction, and Neuronal Transplantation (Annals of the New York Academy of Sciences, Vol). New York Academy of Sciences, 1993.

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Liebenthal, Einat, and Lynne E. Bernstein, eds. Neural Mechanisms of Perceptual Categorization as Precursors to Speech Perception. Frontiers Media SA, 2017. http://dx.doi.org/10.3389/978-2-88945-158-6.

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Seth, Rohit. Zinc deficiency induces apoptosis via mitochondrial p53- and caspase-dependent pathways in human neuronal precursor cells. Elseveir, 2014.

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Nieder, Andreas. Neuronal Correlates of Non-verbal Numerical Competence in Primates. Edited by Roi Cohen Kadosh and Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.027.

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Non-verbal numerical competence, such as the estimation of set size, is rooted in biological primitives that can also be explored in animals. Over the past years, the anatomical substrates and neuronal mechanisms of numerical cognition in primates have been unravelled down to the level of single neurons. Studies with behaviourally-trained monkeys have identified a parietofrontal network of individual neurons selectively tuned to the number of items (cardinal aspect) or the rank of items in a sequence (ordinal aspect). The properties of these neurons’ numerosity tuning curves can explain fundamental psychophysical phenomena, such as the numerical distance and size effect. Functionally overlapping groups of parietal neurons represent not only numerable-discrete quantity (numerosity), but also innumerable-continuous quantity (extent) and relations between quantities (proportions), supporting the idea of a generalized magnitude system in the brain. Moreover, many neurons in the prefrontal cortex establish semantic associations between signs and abstract numerical categories, a neuronal precursor mechanisms that may ultimately give rise to symbolic number processing in humans. These studies establish putative homologies between the monkey and human brain, and demonstrate the suitability of non-human primates as model system to explore the neurobiological roots of the brain’s non-verbal quantification system, which may constitute the phylogenetic and ontogenetic foundation of all further, more elaborate numerical skills in humans.

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Armstrong, Bruce K., Claire M. Vajdic, and Anne E. Cust. Melanoma. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0057.

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Melanoma is a cancer of melanocytes, cells that produce the brown-black skin pigment melanin. Melanocytes originate in cells of the neural crest and migrate during embryogenesis, principally to the epidermis, eyes, and some mucous membranes (mouth, nose, esophagus, anus, genitourinary organs, and conjunctiva). Cutaneous melanoma afflicts mainly fair-skinned people of European origin, among whom sun exposure is the major cause. Five-year relative survival can exceed 90%. Invasive cutaneous melanoma in US whites occurs mostly on the trunk (34%), and upper limbs and shoulders (26%). Melanoma incidence rates have been increasing predominantly in European-origin populations. Ultraviolet (UV) radiation, from the sun or artificial tanning devices, probably both initiates and promotes melanoma. Nevi are markers of increased melanoma risk and direct precursors in some cases; nevus-prone people may require only modest sun exposure to initiate melanoma. Other risk factors include family history and sun sensitivity.

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Beauchaine, Theodore P., and Sheila E. Crowell, eds. The Oxford Handbook of Emotion Dysregulation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190689285.001.0001.

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Emotion dysregulation—which is often defined as the inability to modulate strong affective states including impulsivity, anger, fear, sadness, and anxiety—is observed in nearly all psychiatric disorders. These include internalizing disorders such as panic disorder and major depression, externalizing disorders such as conduct disorder and antisocial personality disorder, and various other disorders including schizophrenia, autism, and borderline personality disorder. Among many affected individuals, precursors to emotion dysregulation appear early in development, and often predate the emergence of diagnosable psychopathology. Collaborative work by Drs. Crowell and Beauchaine, and work by many others, suggests that emotion dysregulation arises from both familial (coercion, invalidation, abuse, neglect) and extrafamilial (deviant peer group affiliations, social reinforcement) mechanisms. These studies point toward strategies for prevention and intervention. The Oxford Handbook of Emotion Dysregulation brings together experts whose work cuts across levels of analysis, including neurobiological, cognitive, and social, in studying emotion dysregulation. Contributing authors describe how early environmental risk exposures shape emotion dysregulation, how emotion dysregulation manifests in various forms of mental illness, and how emotion dysregulation is most effectively assessed and treated. This is the first text to assemble a highly accomplished group of authors to address conceptual issues in emotion dysregulation research; define the emotion dysregulation construct at levels of cognition, behavior, and social dynamics; describe cutting-edge assessment techniques at neural, psychophysiological, and behavioral levels of analysis; and present contemporary treatment strategies. Conceptualizing emotion dysregulation as a core vulnerability to psychopathology is consistent with modern transdiagnostic approaches to diagnosis and treatment, including the Research Domain Criteria and the Unified Protocol, respectively.

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Book chapters on the topic "Neural precursor"

1

Hemmati, Houman D., Tanya A. Moreno, and Marianne Bronner-Fraser. "PNS Precursor Cells in Development and Cancer." In Neural Development and Stem Cells, 189–217. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1-59259-914-1:189.

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Wu, Yuanyuan, Ying Liu, Jonathan D. Chesnut, and Mahendra S. Rao. "Isolation of Neural Stem and Precursor Cells from Rodent Tissue." In Neural Stem Cells, 39–53. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-133-8_5.

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Eldi, Preethi, and Rodney L. Rietze. "Flow Cytometric Characterization of Neural Precursor Cells and Their Progeny." In Neural Cell Transplantation, 77–89. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-931-4_6.

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Iraci, Nunzio, Giulia Elisabetta Tyzack, Chiara Cossetti, Clara Alfaro-Cervello, and Stefano Pluchino. "Viral Manipulation of Neural Stem/Precursor Cells." In Neuromethods, 269–88. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-610-8_14.

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Baghbaderani, Behnam A., Arindom Sen, Michael S. Kallos, and Leo A. Behie. "Bioengineering Protocols for Neural Precursor Cell Expansion." In Springer Protocols Handbooks, 105–23. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60761-292-6_6.

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Groves, Andrew K., and Mark Noble. "From Precursor Cell Biology to Tissue Repair in the O-2A Lineage." In Neural Cell Specification, 171–84. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1929-4_13.

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Matsumura, Naoto, Yusei Miyamoto, and Tatsuhiro Hisatsune. "Neural Precursor Cells from Adult Mouse Cerebral Cortex." In Animal Cell Technology: Basic & Applied Aspects, 311–15. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0726-8_54.

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Yao, Li, and Michael Skrebes. "Enhancement of Axonal Myelination in Wounded Spinal Cord Using Oligodendrocyte Precursor Cell Transplantation." In Glial Cell Engineering in Neural Regeneration, 19–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02104-7_2.

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Blackmore, Daniel G., and Rodney L. Rietze. "Distribution of Neural Precursor Cells in the Adult Mouse Brain." In Methods in Molecular Biology, 183–94. Totowa, NJ: Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-574-3_16.

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Daynac, Mathieu, and Claudia K. Petritsch. "Regulation of Asymmetric Cell Division in Mammalian Neural Stem and Cancer Precursor Cells." In Results and Problems in Cell Differentiation, 375–99. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53150-2_17.

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Conference papers on the topic "Neural precursor"

1

MAIR, C., M. SHEPPERD, M. CARTWRIGHT, C. KIRSOPP, R. PREMRAJ, and D. HEATHCOTE. "UNDERSTANDING OBJECT FEATURE BINDING THROUGH EXPERIMENTATION AS A PRECURSOR TO MODELLING." In Proceedings of the Eighth Neural Computation and Psychology Workshop. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702784_0028.

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Fenwick, Rose, Hartmut Boecsh, and Ivan Tyukin. "Neural Networks for the Retrieval of Methane from the Sentinel-5 Precursor Satellite." In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207656.

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Albayrak, Abdulkadir, Asli Unlu, Nurullah Calik, Gokhan Bilgin, Ilknur Turkmen, Asli Cakir, Abdulkerim Capar, Behcet Ugur Toreyin, and Lutfiye Durak Ata. "Segmentation of precursor lesions in cervical cancer using convolutional neural networks." In 2017 25th Signal Processing and Communications Applications Conference (SIU). IEEE, 2017. http://dx.doi.org/10.1109/siu.2017.7960459.

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Anuntakarun, Songtham, Supawadee Ingsriswang, Warin Wattanapornprom, and Supatcha Lertampaiporn. "Enhanced Viral Precursor MicroRNA Identification with Structural Robustness Features in Back-Propagation Neural Network." In 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS). IEEE, 2016. http://dx.doi.org/10.1109/isms.2016.20.

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Tegge, Allison, Sandra Rodriguez-Zas, Jonathan V. Sweedler, and Bruce Southey. "Comparative analysis of binary logistic regression to artificial neural networks in predicting precursor sequence cleavage." In 2007 IEEE International Conference on Bioinformatics and Biomedicine Workshops. IEEE, 2007. http://dx.doi.org/10.1109/bibmw.2007.4425407.

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Grauer, F., W. Volgmann, H. Stoff, and T. Breuer. "Detection of Precursor Waves Announcing Stall in Two 3-Stage Axial Compressors." In ASME 1998 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/98-gt-520.

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Rotating stall and surge limit the operating range of a compressor towards low throughflow and high pressure in the performance map. Usually a safety margin must be observed to prevent the compressor from entering unintentionally aerodynamic instabilities. As the range of highest performance and efficiency lies in the vicinity of the stability limit, efforts concentrate on recognizing imminent onset of unstable operation prior to its occurrence. The present investigation centers on means of detecting information about onsetting instability from signals of pressure fluctuations in two transonic medium-pressure axial compressors of 3 stages. Fourier-transform-methods as well as artificial neural networks are applied for the data reduction of the time-dependent pressure signals. The methods of investigation presented here detected stall precursors announcing the onset of instability. Some of them seem appropriate to be used in connection with active stall control.

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Perez-Cruz, J. Humberto, and Alexander Poznyak. "Estimation of the Precursor Power and Internal Reactivity in a Nuclear Reactor by a Neural Observer." In 2007 4th International Conference on Electrical and Electronics Engineering. IEEE, 2007. http://dx.doi.org/10.1109/iceee.2007.4345030.

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Synowitz, Michael, Kristin Stock, Jitender Kumar, Stefania Petrosino, Roberta Imperatore, Ewan St J Smith, Peter Wend, et al. "Abstract 215: Neural precursor cells induce cell death of high-grade astrocytomas through stimulation of TRPV1." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-215.

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Zhang, Z., A. Lei, L. Xu, L. Chen, Y. Chen, X. Zhang, Y. Gao, and Y. Cao. "PO-277 Postmitotic neuron-like differentiation of cancer cells suggests that cancer cells have the properties of neural precursor/progenitor cells." In Abstracts of the 25th Biennial Congress of the European Association for Cancer Research, Amsterdam, The Netherlands, 30 June – 3 July 2018. BMJ Publishing Group Ltd, 2018. http://dx.doi.org/10.1136/esmoopen-2018-eacr25.308.

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Aji, Bernadus Anggo Seno, The Houw Liong, and Buldan Muslim. "Detection precursor of sumatra earthquake based on ionospheric total electron content anomalies using N-Model Articial Neural Network." In 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, 2017. http://dx.doi.org/10.1109/icacsis.2017.8355045.

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Reports on the topic "Neural precursor"

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Bongarzone, Ernesto R. Mobilization of Neural Precursors in the Circulating Blood of Patients with Multiple Sclerosis. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada568145.

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Bongarzone, Ernesto R. Mobilization of Neural Precursors in the Circulating Blood of Patients with Multiple Sclerosis. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada599781.

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