Search results for "MODEL"

showing 10 items of 24058 documents

Remarks on regularity for p-Laplacian type equations in non-divergence form

2018

We study a singular or degenerate equation in non-divergence form modeled by the $p$-Laplacian, $$-|Du|^\gamma\left(\Delta u+(p-2)\Delta_\infty^N u\right)=f\ \ \ \ \text{in}\ \ \ \Omega.$$ We investigate local $C^{1,\alpha}$ regularity of viscosity solutions in the full range $\gamma>-1$ and $p>1$, and provide local $W^{2,2}$ estimates in the restricted cases where $p$ is close to 2 and $\gamma$ is close to 0.

viscosity solutionsintegrability of second derivativesType (model theory)01 natural sciencesDivergencelocal C1ViscosityMathematics - Analysis of PDEsFOS: Mathematicspartial differential equations0101 mathematicsMathematicsMathematical physicsosittaisdifferentiaaliyhtälötα regularityApplied Mathematics010102 general mathematicsta111p-Laplacianlocal C1α regularityviskositeettiDegenerate equation35J60 35B65 35J92010101 applied mathematicsviscosityp-LaplacianAnalysisAnalysis of PDEs (math.AP)Journal of Differential Equations
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Visual Contrast Modulates Operant Learning Responses in Larval Zebrafish.

2018

The larval zebrafish is a promising vertebrate model organism to study neural mechanisms underlying learning and memory due to its small brain and rich behavioral repertoire. Here, we report on a high-throughput operant conditioning system for zebrafish larvae, which can simultaneously train 12 fish to associate a visual conditioned pattern with electroshocks. We find that the learning responses can be enhanced by the visual contrast, not the spatial features of the conditioned patterns, highlighted by several behavioral metrics. By further characterizing the learning curves as well as memory extinction, we demonstrate that the percentage of learners and the memory length increase as the co…

visionCognitive Neuroscienceved/biology.organism_classification_rank.specieseducationautomated image analysisBehavioral neurosciencelcsh:RC321-57103 medical and health sciences0302 clinical medicinebiology.animalZebrafish larvaehigh-throughput imagingOperant conditioningModel organismlcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologyOriginal Research0303 health scienceslearningbiologyved/biologyRepertoirefungiVertebrateExtinction (psychology)Neuropsychology and Physiological PsychologyLearning curvezebrafish larvaebehavioral neuroscienceNeuroscience030217 neurology & neurosurgeryNeuroscienceFrontiers in behavioral neuroscience
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(A,B) In vivo GCaMP6f signals recorded in layers M1, M5 and M9/10 of Mi1 (A) and Tm3 (B) neurons, before (blue, green) and after (gray, red) applicat…

2019

Sensory systems sequentially extract increasingly complex features. ON and OFF pathways, for example, encode increases or decreases of a stimulus from a common input. This ON/OFF pathway split is thought to occur at individual synaptic connections through a sign-inverting synapse in one of the pathways. Here, we show that ON selectivity is a multisynaptic process in the Drosophila visual system. A pharmacogenetics approach demonstrates that both glutamatergic inhibition through GluClα and GABAergic inhibition through Rdl mediate ON responses. Although neurons postsynaptic to the glutamatergic ON pathway input L1 lose all responses in GluClα mutants, they are resistant to a cell-type-specifi…

visionQH301-705.5GABA AgentsScienceModels Neurological610Sensory systemBiologyStimulus (physiology)distributed codingGeneral Biochemistry Genetics and Molecular BiologySynapseglutamatergic inhibition03 medical and health sciencesGlutamatergic0302 clinical medicinePostsynaptic potentialOff pathwayInterneuronsAnimalsVisual PathwaysExcitatory Amino Acid AgentsBiology (General)030304 developmental biology0303 health sciencesGeneral Immunology and MicrobiologyGABAergic inhibitionD. melanogasterON selectivityGeneral Neurosciencefeature extractionQRGeneral MedicineD. melanogaster; GABAergic inhibition; ON selectivity; distributed coding; feature extraction; glutamatergic inhibition; neuroscience; visionVisual PerceptionMedicineGabaergic inhibitionDrosophilaSelectivityNeuroscience030217 neurology & neurosurgeryResearch ArticleNeuroscience
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OCTA atlīdzību apjoma modelēšana, lietojot vispārināto lineāro modeli

2017

Darbs veltīts obligātās civiltiesiskās transportlīdzekļu apdrošināšanas (OCTA) atlīdzību modelēšanai. Modeļu klase, ko izvēlēts lietot, ir vispārinātais lineārais modelis (GLM), kas praksē tiek bieži lietots apdrošināšanas atlīdzību modelēšanai. Darbā aprakstīti vispārinātā lineārā modeļa teorijas pamati un modeļa precizitātes novērtēšanas mēri. Aplūkotas dažādas modeļa parametru novērtēšanas un faktoru atlases metodes, no iegūtajiem modeļiem izvēlēts modelis ar labāko pielāgošanas kvalitāti un precīzāko prognozēšanas spēju. Visbiežāk lietotās metodes - iteratīvā mazāko kvadrātu metode parametru novērtēšanai un soļu regresija faktoru atlasei tika salīdzinātas ar lasso un elastīgo tīklu regu…

vispārinātais lineārais modelisMatemātikaelastīgo tīklu regularizācijaOCTAlasso
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Vispārināto lineāro un vispārināto aditīvo modeļu salīdzinājums un pielietojumi

2019

Šajā darbā aprakstītas divas matemātiskās modelēšanas metodes, tās ir, vispārinātais lineārais modelis (generalized linear model (GLM)) un vispārinātais aditīvais modelis (generalized additive model (GAM)), un metodes, ar kurām tie ir saistīti. Darbā ir aprakstītas novērtēšanas metodes un kritēriji, kas tiek izmantoti šādu modeļu analizēšanai un novērtēšanai. Šī darba praktiskā daļa ir veikta programmā R, kur ir salīdzināti vispārinātais lineārais un vispārinātais aditīvais modelis ar mērķi izprast modeļu atšķirības un atšķirt gadījumus, kad labāk izvēlēties vienu vai otru modelēšanas metodi. Veicot darba praktisko daļu, tiek secināts, ka datiem, kuru izkliede nav vienkārša atkarībā no skai…

vispārinātais lineārais modelissplainiMatemātikavispārinātais aditīvais modelislokālās regresijas gludināšana
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Vai strukturālās reformas spēs veicināt Latvijas ekonomisko izaugsmi: BMA un GMM novērtējumu liecības

2017

Pētījuma ietvaros tiek pielietota Beijesa modeļu svēršana (BMA) un vispārīgā momentu metode (GMM) Globālās Konkurētspējas apakšindeksu (GCI) datiem, lai identificētu strukturālo reformu jomas, kas var nozīmīgi paātrināt Latvijas ekonomisko izaugsmi. Novērtējumu rezultāti, kuros ņemta vērā gan modeļu nenoteiktība, gan endogenitāte liecina, ka ekonomisko izaugsmi var veicināt ar augstākām investīcijām, zemāku administratīvo slogu, stabilāku makroekonomisko vidi, paaugstinātu ārvalsts tiešo investīciju kvalitāti, kā arī ar attīstītākiem uzņēmējdarbības klasteriem. Ja šajās jomās Latvijas sniegums pēdējo 10 gadu laikā būtu trīs labāko Eiropas Savienības dalībvalstu līmenī, tad ienākumu līmenis …

vispārīgā momentu metodestrukturālās reformasEkonomikaGeneralized Method of MomentsBeijesa modeļu svēršanaBayesian Model Averaging
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Impacts of Touch Screen Size, User Interface Design, and Subtask Boundaries on In-Car Task's Visual Demand and Driver Distraction

2020

Visual distraction by secondary in-car tasks is a major contributing factor in traffic incidents. In-car user interface design may mitigate these negative effects but to accomplish this, design factors’ visual distraction potential should be better understood. The effects of touch screen size, user interface design, and subtask boundaries on in-car task's visual demand and visual distraction potential were studied in two driving simulator experiments with 48 participants. Multilevel modeling was utilized to control the visual demands of driving and individual differences on in-car glance durations. The 2.5” larger touch screen slightly decreased the in-car glance durations and had a diminis…

visual distractionComputer scienceihmisen ja tietokoneen vuorovaikutusHuman Factors and ErgonomicsEducationTask (project management)subtask boundarykäyttöliittymätHuman–computer interactionDistraction0502 economics and business0501 psychology and cognitive sciencesautotekniikka050107 human factorskosketusnäyttö050210 logistics & transportation05 social sciencesGeneral EngineeringDriving simulatorvisual demandnäköUser interface designHuman-Computer Interactionmultilevel modelDisplay sizeHardware and Architecturekatseenseurantain-vehicle user interfaceSoftwarevisual occlusion
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Negative emotional state modulates visual working memory in the late consolidation phase

2020

Although a considerable literature has grown up around the interactions between emotional state and visual working memory (VWM) performance, the mechanism underlying the impact of the negative emotional state on VWM remains unclear. The present study aimed to test whether the influence of emotional state is related to the early phase or late phase of VWM consolidation process. Across three experiments, we found that the negative emotional state did not affect VWM performance when the presentation time of stimuli was short. However, when the presentation time was long, the negative emotional state increased the VWM precision and reduced the VWM number. According to the two-phase model propos…

visual working memorytunteettwo-phase modelresource allocationnegative emotional statenäkömuistityömuistilate consolidation phase
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Study of vocalists' use of emotions in performance preparation

2015

Musicians and educators understand the importance of expressivity in vocal performance. Despite the acceptance of expressivity as a crucial element in musical performance, educators have reported addressing it only cursorily or not addressing it at all when preparing for a performance. For these reasons, this research has focused on techniques used by trained musicians when preparing a performance, to be adapted and applied for use by teachers with their large vocal ensembles. Participants in this study were enrolled in vocal / operatic performance programs at universities in the United States, Ireland, Finland, and Hong Kong. Their progress was tracked throughout the semester by three ques…

vocal performancelaulajatpedagogyoppiminensingersexpressive techniquesmusiikkiemotionsexpressivityilmeikäs musiikkiesitysilmaisutunteetComputingMilieux_COMPUTERSANDEDUCATIONesityksetGERMS Model
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MODELING OF VOLATILITY IN THE ROMANIAN CAPITAL MARKET

2012

This paper aims to analyze the volatility of capital market in Romania by selecting a portfolio of representative indices (BET BET_FI and RASDAQ_C). In this respect, we want to identify the most appropriate model to estimate volatility by using modern econometric tools and useful GARCH models respectively. The study results highlight that EGARCH(1,1) model has managed to eliminate all traces of statistically significant autocorrelation and ARCH effects from the residuals from daily series, giving an accurate image of the Romanian capital market volatility.

volatility GARCH models autocorrelation normal distributionStudies in Business and Economics
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