Search results for "C3"

showing 10 items of 1295 documents

The Role of Vitamin D as a Biomarker in Alzheimer’s Disease

2021

Vitamin D and cognition is a popular association, which led to a remarkable body of literature data in the past 50 years. The brain can synthesize, catabolize, and receive Vitamin D, which has been proved to regulate many cellular processes in neurons and microglia. Vitamin D helps synaptic plasticity and neurotransmission in dopaminergic neural circuits and exerts anti-inflammatory and neuroprotective activities within the brain by reducing the synthesis of pro-inflammatory cytokines and the oxidative stress load. Further, Vitamin D action in the brain has been related to the clearance of amyloid plaques, which represent a feature of Alzheimer Disease (AD), by the immune cell. Based on the…

25(OH)D levelsReviewDiseaseBioinformaticsNeuroprotectionvitamin D deficiencylcsh:RC321-57103 medical and health sciences0302 clinical medicineImmune systemVitamin D and neurologyMedicineAlzheimer’s Disease030212 general & internal medicineVitamin DCognitive declinelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryVitamin D deficiencybusiness.industryGeneral NeuroscienceBiomarkermedicine.diseaseBiomarker (medicine)Alzheimer's diseasebusiness030217 neurology & neurosurgeryBrain Sciences
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The influence of serotonin- and other genes on impulsive behavioral aggression and cognitive impulsivity in children with attention-deficit/hyperacti…

2008

Contains fulltext : 70708.pdf (Publisher’s version ) (Open Access) ABSTRACT: BACKGROUND: Low serotonergic (5-HT) activity correlates with increased impulsive-aggressive behavior, while the opposite association may apply to cognitive impulsiveness. Both types of impulsivity are associated with attention-deficit/hyperactivity disorder (ADHD), and genes of functional significance for the 5-HT system are implicated in this disorder. Here we demonstrate the separation of aggressive and cognitive components of impulsivity from symptom ratings and test their association with 5-HT and functionally related genes using a family-based association test (FBAT-PC). METHODS: Our sample consisted of 1180 o…

2805 Cognitive Neurosciencemedicine.medical_specialtyNeurologyGenetics and epigenetic pathways of disease [NCMLS 6]Cognitive NeuroscienceMedizin610 Medicine & healthNeuroinformatics [DCN 3]SerotonergicImpulsivityMental health [NCEBP 9]lcsh:RC346-429Genomic disorders and inherited multi-system disorders [IGMD 3]03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineCognitive neurosciences [UMCN 3.2]2802 Behavioral NeurosciencePerception and Action [DCN 1]medicineAttention deficit hyperactivity disorderddc:610Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie Psychosomatik und Psychotherapie des Kindes- und JugendaltersAssociation (psychology)Psychiatrylcsh:Neurology. Diseases of the nervous systemBiological PsychiatryAggressionResearchCognitionGeneral Medicine10058 Department of Child and Adolescent Psychiatrymedicine.disease030227 psychiatryAutism spectrum disordermedicine.symptomPsychologyFunctional Neurogenomics [DCN 2]2803 Biological Psychiatry030217 neurology & neurosurgeryClinical psychology
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Partially implicit Runge-Kutta methods for wave-like equations

2012

In this work we present a new class of Runge-Kutta (RK) methods for solving systems of hyperbolic equations with a particular structure, generalization of a wave-equation. The new methods are {\it partially implicit} in the sense that a proper subset of the equations of the system contains some terms which are treated implicitly. These methods can be viewed as a particular case of the implicit-explicit (IMEX) RK methods for systems of equations with wave-like structure. For these systems, the optimal methods with the new structure are easier to derive than the IMEX ones, specially when aiming at higher-order (up to fourth-order in this work). The methods are constructed considering the clas…

35L60 35L05 83C35FOS: Physical sciencesMathematical Physics (math-ph)General Relativity and Quantum Cosmology (gr-qc)Mathematical PhysicsGeneral Relativity and Quantum Cosmology
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"Table 41" of "Investigations of anisotropic flow using multi-particle azimuthal correlations in pp, p-Pb, Xe-Xe, and Pb-Pb collisions at the LHC"

2019

SC$(3,2)$ with 3-subevent method in Pb-Pb collisions at $\sqrt{s_{NN}} = 5.02$ TeV.

5020.0Pb Pb --> CHARGED Xsc32_3sub
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"Table 43" of "Investigations of anisotropic flow using multi-particle azimuthal correlations in pp, p-Pb, Xe-Xe, and Pb-Pb collisions at the LHC"

2019

SC$(3,2)$ with 3-subevent method divided with $\langle v_3\{2\}^2\rangle\langle v_2\{2\}^2\rangle$ with $|\Delta \eta| > 1.0$ and 1.4 in Pb-Pb collisions at $\sqrt{s_{NN}} = 5.02$ TeV.

5020.0nsc32_3subPb Pb --> CHARGED X
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"Table 19" of "Investigations of anisotropic flow using multi-particle azimuthal correlations in pp, p-Pb, Xe-Xe, and Pb-Pb collisions at the LHC"

2019

SC$(3,2)$ with 3-subevent method divided with $\langle v_3\{2\}^2\rangle\langle v_2\{2\}^2\rangle$ with $|\Delta \eta| > 1.0$ and 1.4 in p-Pb collisions at $\sqrt{s_{NN}} = 5.02$ TeV.

5020.0p Pb --> CHARGED Xnsc32_3sub
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"Table 17" of "Investigations of anisotropic flow using multi-particle azimuthal correlations in pp, p-Pb, Xe-Xe, and Pb-Pb collisions at the LHC"

2019

SC$(3,2)$ with 3-subevent method in p-Pb collisions at $\sqrt{s_{NN}} = 5.02$ TeV.

5020.0p Pb --> CHARGED Xsc32_3sub
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Group topologies coarser than the Isbell topology

2011

Abstract The Isbell, compact-open and point-open topologies on the set C ( X , R ) of continuous real-valued maps can be represented as the dual topologies with respect to some collections α ( X ) of compact families of open subsets of a topological space X . Those α ( X ) for which addition is jointly continuous at the zero function in C α ( X , R ) are characterized, and sufficient conditions for translations to be continuous are found. As a result, collections α ( X ) for which C α ( X , R ) is a topological vector space are defined canonically. The Isbell topology coincides with this vector space topology if and only if X is infraconsonant. Examples based on measure theoretic methods, t…

54C35 54C40 54A10Function spaceGroup (mathematics)HyperspaceGeneral Topology (math.GN)Isbell topologyInfraconsonanceTopological spaceFunction spaceTopologyTopological vector spaceTopological groupFunctional Analysis (math.FA)Mathematics - Functional AnalysisHyperspaceFOS: MathematicsTopological groupGeometry and TopologyConsonanceTopology (chemistry)Vector spaceMathematicsMathematics - General Topology
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Synaptic scaling generically stabilizes circuit connectivity

2011

Neural systems regulate synaptic plasticity avoiding overly strong growth or shrinkage of the connections, thereby keeping the circuit architecture operational. Accordingly, several experimental studies have shown that synaptic weights increase only in direct relation to their current value, resulting in reduced growth for stronger synapses [1]. It is, however, difficult to extract from these studies unequivocal evidence about the underlying biophysical mechanisms that control weight growth. The theoretical neurosciences have addressed this problem by exploring mechanisms for synaptic weight change that contain limiting factors to regulate growth [2]. The effectiveness of these mechanisms i…

573.8Computer science612.8612Plasticity573530lcsh:RC321-57103 medical and health sciencesCellular and Molecular NeuroscienceSynaptic weight0302 clinical medicineHomeostatic plasticityBiological neural networklcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biology0303 health sciencesSynaptic scalingGeneral NeuroscienceWeight changelcsh:QP351-495Hebbian theorylcsh:Neurophysiology and neuropsychologyPoster PresentationSynaptic plasticityNeuroscience030217 neurology & neurosurgeryBMC Neuroscience
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Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering

2021

Motivated by the challenge of incorporating data into misspecified and multiscale dynamical models, we study a McKean-Vlasov equation that contains the data stream as a common driving rough path. This setting allows us to prove well-posedness as well as continuity with respect to the driver in an appropriate rough-path topology. The latter property is key in our subsequent development of a robust data assimilation methodology: We establish propagation of chaos for the associated interacting particle system, which in turn is suggestive of a numerical scheme that can be viewed as an extension of the ensemble Kalman filter to a rough-path framework. Finally, we discuss a data-driven method bas…

60L20 60L90 60H10 60F99 65C35 62M05Probability (math.PR)FOS: MathematicsMathematics - Statistics TheoryMathematics - Numerical AnalysisNumerical Analysis (math.NA)Statistics Theory (math.ST)Mathematics - Probability
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