Results 81 to 90 of about 607,794 (304)

Next Stop: Restructuring?: A Nonparametric Efficiency Analysis of German Public Transport Companies [PDF]

open access: yes
In this paper, we present a nonparametric comparative efficiency analysis of 179 communal public transport bus companies in Germany (1990-2004). We apply both deterministic data envelopment analysis (DEA) and bootstrapping to test the robustness of our ...
Christian von Hirschhausen   +1 more
core  

Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy

open access: yesAdvanced Science, EarlyView.
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo   +12 more
wiley   +1 more source

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

open access: yesAdvanced Science, EarlyView.
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo   +18 more
wiley   +1 more source

A Robust TEWMA–MA Control Chart Based on Sign Statistics for Effective Monitoring of Manufacturing Processes

open access: yesMathematics
A nonparametric control chart is a type of control chart that does not rely on assumptions regarding the underlying distribution of the data. This characteristic provides greater flexibility and robustness, particularly when handling non-normal data ...
Piyatida Saesuntia   +2 more
doaj   +1 more source

Pointwise universal consistency of nonparametric density estimators. [PDF]

open access: yes
This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta estimators and shows the application of these conditions for some classes of nonparametric estimators.Delta estimators; Pointwise approximation ...
Vidal-Sanz, Jose M.
core  

A Weighted Grid for Measuring Program Robustness [PDF]

open access: yes, 2012
Robustness is a key issue for all the programs, especially safety critical ones. In the literature, Program Robustness is defined as “the degree to which a system or component can function correctly in the presence of invalid input or stressful ...
ABDALLAH, MOHAMMAD,MAHMOUD,AREF
core  

Intermittent Fasting Restores Cardiac Lipid Homeostasis in Diabetic Cardiomyopathy in Association With Akkermansia Muciniphila and 1‐methyl‐L‐histidine

open access: yesAdvanced Science, EarlyView.
Intermittent fasting reshapes the gut microbiota in diabetic cardiomyopathy, restoring Akkermansia muciniphila and the microbiota‐associated metabolite 1‐methyl‐L‐histidine. This shift is linked to improved cardiac lipid homeostasis, reduced lipid peroxidation, and attenuated myocardial injury, highlighting a gut microbiota–metabolite–lipid axis in ...
Kaiyuan Jiang   +7 more
wiley   +1 more source

Goodness-of-fit Tests in Nonparametric Regression [PDF]

open access: yes
AMS classifications: 62G08, 62G10, 62G20, 62G30; 60F17.Goodness-of-fit;nonparametric regression;test for independence;weak ...
Einmahl, J.H.J., Keilegom, I. van
core   +2 more sources

Dual Blockade of LILRB1 and LILRB2 Enhances Antiviral Immune Responses in SIV Infection

open access: yesAdvanced Science, EarlyView.
Dual LILRB1/B2 blockade with mac20G10 reshapes myeloid activation during acute SIV infection by targeting LILRB1 and LILRB2 on myeloid cells. This treatment enhances CD80 expression on selected myeloid subsets and increases plasma IFN‐λ, IL‐8, and IL‐1RA.
Florian Meurisse   +20 more
wiley   +1 more source

On robust nonparametric regression estimation for a functional regressor

open access: yesStatistics & Probability Letters, 2008
We study a family of robust nonparametric estimators for a regression function based on a kernel method when theregressors are functional random variables. We establish the almost complete convergence rate of these estimatorsunder the probability measure’s concentration property on small balls of of the functional variable. Simulations aregiven to show
Azzedine, Nadjia   +2 more
openaire   +1 more source

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