Search results for "AIV"

showing 10 items of 375 documents

Mast cells enhance proliferation of B lymphocytes and drive their differentiation toward IgA-secreting plasma cells.

2010

AbstractThe evidence of a tight spatial interaction between mast cells (MCs) and B lymphocytes in secondary lymphoid organs, along with the data regarding the abundance of MCs in several B-cell lymphoproliferative disorders prompted us to investigate whether MCs could affect the proliferation and differentiation of B cells. To this aim, we performed coculture assays using mouse splenic B cells and bone marrow–derived MCs. Both nonsensitized and activated MCs proved able to induce a significant inhibition of cell death and an increase in proliferation of naive B cells. Such proliferation was further enhanced in activated B cells. This effect relied on cell-cell contact and MC-derived interle…

Immunoglobulin AMAST CELL B LYMPHOCITESCellular differentiationImmunologyNaive B cellCD40 LigandPlasma CellsCell CommunicationImmunoglobulin ELymphocyte ActivationBiochemistryMast cellMiceImmune systemIg isotype switchmedicineAnimalsHumansMast CellsCD40 AntigensCell ProliferationIG-A.B cellB cellsMast cell; B cells; Differentiation; Ig isotype switchCD40biologyCell DeathInterleukin-6Cell DifferentiationCell BiologyHematologyMast cellhumanitiesCell biologyImmunity HumoralImmunoglobulin Amedicine.anatomical_structureGene Expression RegulationDifferentiationImmunologybiology.proteinMAST CELL B LYMPHOCITES; IG-A.Syndecan-1AntibodyBlood
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A Comparative Study to Analyze the Performance of Advanced Pattern Recognition Algorithms for Multi-Class Classification

2021

This study aims to implement the following four advanced pattern recognition algorithms, such as “optimal Bayesian classifier,” “anti-Bayesian classifier,” “decision trees (DTs),” and “dependence trees (DepTs)” on both artificial and real datasets for multi-class classification. Then, we calculated the performance of individual algorithms on both real and artificial data for comparison. In Sect. 1, a brief introduction is given about the study. In the second section, the different types of datasets used in this study are discussed. In the third section, we compared the classification accuracies of Bayesian and anti-Bayesian methods for both the artificial and real-life datasets. In the four…

Computer sciencebusiness.industryBayesian probabilityDecision treePattern recognitionMulticlass classificationNaive Bayes classifierBayes' theoremComputingMethodologies_PATTERNRECOGNITIONSection (archaeology)Classifier (linguistics)Pattern recognition (psychology)Artificial intelligencebusinessAlgorithm
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On the quantitative edge of feature and gestalt -based associative learning : learning-related ERP changes in the hippocampus and the prefontal corte…

2004

prefrontal cortexoppiminenkaniinitbiconditional discriminationhippocampusassosiaatiolearning-related changesassociative learningevent-related potentialsaivotabstract animal learning
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Aivoverenkiertohäiriön sairastaneiden tasapainoharjoittelun vaikuttavuus RCT-tutkimusten perusteella : evidence on the effectiveness of balance train…

2013

Tausta: Tasapainon ongelmat ovat yleisiä aivoverenkiertöhäiriön (AVH) sairastamisen jälkeen. Vaikka AVH-kuntoutujien kuntoutusmenetelmät ovat kiinnostuksen kohteena, on tasapainoharjoittelun vaikuttavuudesta niukasti näyttöön perustuvaa tietoa. Tarkoitus: Tutkia AVH-kuntoutujien tasapainoharjoittelun vaikuttavuutta tasapainoon tasapaino- ja kävelymuuttujilla RCT-tutkimusten perusteella. Aineisto ja menetelmät: Systemaattinen kirjallisuushaku tehtiin Ovid Medline, CINAHL, Embase, Physiotherapy Evidence Database, the Cochrane Central Register of Controlled Trials sähköisistä tietokannoista sekä käsihaulla. RCT-tutkimukset, joissa koehenkilöiden ikä oli yli 18- vuotta ja jotka oli julkaistu en…

tasapainoharjoittelubalancephysical therapyaivoverenkiertohäiriötexercise trainingstrokeaivoverenkiertohäiriöfysioterapia
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Longevity-related molecular pathways are subject to midlife “switch” in humans

2019

Emerging evidence indicates that molecular aging may follow nonlinear or discontinuous trajectories. Whether this occurs in human neuromuscular tissue, particularly for the noncoding transcriptome, and independent of metabolic and aerobic capacities, is unknown. Applying our novel RNA method to quantify tissue coding and long noncoding RNA (lncRNA), we identified ~800 transcripts tracking with age up to ~60 years in human muscle and brain. In silico analysis demonstrated that this temporary linear “signature” was regulated by drugs, which reduce mortality or extend life span in model organisms, including 24 inhibitors of the IGF‐1/PI3K/mTOR pathway that mimicked, and 5 activators that oppos…

0301 basic medicineAgingved/biology.organism_classification_rank.speciesMuscle Fibers SkeletallihaksetTranscriptome0302 clinical medicineGene expressionGene Regulatory NetworksRNA-Seqmedia_commonCerebral CortexNeuronsreactive oxygen speciesihoTOR Serine-Threonine Kinasesmitochondrial complex 1LongevityBrainNon-coding RNAAlzheimer'sECSITCell biologytranskriptio (biologia)mTORRNA Long NoncodingOriginal ArticleaivotSignal TransductionAdultTranscriptional ActivationskinIn silicomedia_common.quotation_subjectLongevityBiology03 medical and health sciencesHumanslong noncoding RNAskeletal muscleModel organismGeneSirolimusved/biologyagingRNACell BiologyTwins MonozygoticOriginal Articles030104 developmental biologyikääntyminenRNATranscriptome030217 neurology & neurosurgery
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Parantuneeko vai huononeeko? : kuinka suomenoppija palauttaa taivutetun verbimuodon infinitiiviin

2006

kielitiedeverbittaivutusastevaihtelufrekvenssitanalogiakompleksisuus
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CA3–CA1 long‐term potentiation occurs regardless of respiration and cardiac cycle phases in urethane‐anesthetized rats

2023

Breathing and heartbeat synchronize to each other and to brain function and affect cognition in humans. However, it is not clear how cardiorespiratory rhythms modulate such basic processes as synaptic plasticity thought to underlie learning. Thus, we studied if respiration and cardiac cycle phases at burst stimulation onset affect hippocampal long-term potentiation (LTP) in the CA3–CA1 synapse in urethane-anesthetized adult male Sprague–Dawley rats. In a between-subjects design, we timed burst stimulation of the ventral hippocampal commissure (vHC) to systole or diastole either during expiration or inspiration and recorded responses throughout the hippocampus with a linear probe. As classic…

sykelearningbreathingoppiminenhippocampussydänmemoryplasticityhengityshippokampusneuroplastisuusaivotheartbeatmuisti (kognitio)
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Traditional Chinese herbal medicine at the forefront battle against COVID-19: Clinical experience and scientific basis.

2020

Abstract Background Throughout the 5000-year history of China, more than 300 epidemics were recorded. Traditional Chinese herbal medicine (TCM) has been used effectively to combat each of these epidemics’ infections, and saved many lives. To date, there are hundreds of herbal TCM formulae developed for the purpose of prevention and treatment during epidemic infections. When COVID-19 ravaged the Wuhan district in China in early January 2020, without a deep understanding about the nature of COVID-19, patients admitted to the TCM Hospital in Wuhan were immediately treated with TCM and reported later with >90% efficacy. Approach We conducted conduct a systematic survey of various TCM herbal pre…

PTGS2 Prostaglandin-endoperoxide synthase 2BattleAIV avian influenza virusCoV coronavirusPharmaceutical ScienceiNOS nitric oxide synthaseViral infection0302 clinical medicinePA patchouli alcoholSARS Severe Acute Respiratory SyndromeSMD Sheganmahuang decoctionDrug DiscoveryPandemicIL InterleukinMedicine Chinese TraditionalALI acute lung injuriesmedia_commonCOVID-19 coronavirus disease 2019MXSG Ma xing shi gan decoction0303 health sciencesTNF tumor necrosis factorClinical Trials as TopicCCL2 CC chemokine ligand 2FM1 FM1 coronavirusICU intensive care unitc-AMP cyclic adenosine phosphateHIV human immunodeficiency virus030220 oncology & carcinogenesisCOX-2 cyclooxygenase-2Molecular MedicineHerbal preparationsMedicinal herbsAbbreviations: ACE2 angiotensin-converting enzyme IITCM traditional Chinese medicineHSV-1 herpes simplex virus 1CASP3 caspase 3medicine.medical_specialtyChinaCoronavirus disease 2019 (COVID-19)Systematic surveymedia_common.quotation_subjectJEV Japanese encephalitis virusNF-κB nuclear factor kappa B cellsAntiviral AgentsArticleWHO World Health Organization03 medical and health sciencesIEC-6 rat intestinal epithelial cell line 6SOD superoxide dismutaseCDC Center for Disease Control and PreventionmedicineAVP arginine vasopressinPGE2 prostaglandin E2HumansIntensive care medicineLH Lianhuaqingwen capsule030304 developmental biologyPharmacologyMedicinal herbMDA malondialdehydeGCGJ Gancao ganjiang decoctionNO nitric oxidePlants Medicinalbusiness.industrySARS-CoV-2COVID-19CXCL C-X-C- motif chemokineMDCK Madin-Darby Canine Kidney cellsTLR-4 Toll-like receptor-4COVID-19 Drug TreatmentComplementary and alternative medicineViral infectionLPS lipopolysaccharidesRSV respiratory syncytial virusQFPD Qingfeipaidu decoctionbusinessLung congestionECMO extracorporeal membrane oxygenationMAPK mitogen-activated protein kinasePhytotherapyDrugs Chinese HerbalPhytomedicine : international journal of phytotherapy and phytopharmacology
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Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars

2021

Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency range of 77–81 GHz. The measurements are carried out in a variety of realistic situations, including p…

mmWave radarrange FFT featuresTK7800-8360Computer Networks and CommunicationsComputer scienceVDP::Technology: 500Fast Fourier transformReal-time computingtargets classificationFMCW radarSupport vector machineContinuous-wave radarStatistical classificationNaive Bayes classifiermachine learningautonomous systemsHardware and ArchitectureControl and Systems EngineeringFeature (computer vision)Angle of arrivalSignal Processingground station radarGradient boostingElectrical and Electronic EngineeringElectronics
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Dysleksia : lasten lukemaan oppimisen tukeminen musiikin keinoin

2008

BakkermusiikkidysleksiaAudilexaivopuoliskojen lateraalisuusteorialukemaan oppiminen
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