Results 61 to 70 of about 296,242 (293)

A Re-Evaluation of the Swiss Hail Suppression Experiment Using Permutation Techniques Shows Enhancement of Hail Energies When Seeding

open access: yesAtmosphere, 2021
Grossversuch IV is a large and well documented experiment on hail suppression by silver iodide seeding. The original 1986 evaluation remained vague, although indicating a tendency to increase hail when seeding.
Armin Auf der Maur, Urs Germann
doaj   +1 more source

Impact of APOE ε4 Genotype Load on Cognitive Function and Lipid Metabolism in Patients With Cerebral Small Vessel Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Apolipoprotein ε4 (APOE ε4) is a potent genetic risk factor for Alzheimer's disease (AD). However, its role in cerebral small vessel disease (CSVD) remains unclear. Given the clinical and pathological similarities between CSVD and AD, this study aimed to investigate the associations of APOE ε4 gene dosage with cognitive function and
Tingru Jin   +6 more
wiley   +1 more source

Applied Geospatial Bayesian Modeling in the Big Data Era: Challenges and Solutions

open access: yesMathematics, 2022
Two important trends in applied statistics are an increased usage of geospatial models and an increased usage of big data. Naturally, there has been overlap as analysts utilize the techniques associated with each. With geospatial methods such as kriging,
Jason S. Byers, Jeff Gill
doaj   +1 more source

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams   +14 more
wiley   +1 more source

Confidence interval Calculation & Evaluating Markov regime switching Precision for Value-at-Risk Estimation: A Case Study on Tehran Stock Exchange Index (TEDPIX) [PDF]

open access: yesتحقیقات مالی, 2016
Value at risk is one of the most common risk measures which, considering its dependency on volatility return, uncertainty of volatility prediction models and existing bias in parameter prediction, is subject to bias.
Rasoul Sajjad, Roya Taherifar
doaj   +1 more source

Bootstrap Bandwidth Selection and Confidence Regions for Double Smoothed Default Probability Estimation

open access: yesMathematics, 2022
For a fixed time, t, and a horizon time, b, the probability of default (PD) measures the probability that an obligor, that has paid his/her credit until time t, runs into arrears not later that time t+b.
Rebeca Peláez   +2 more
doaj   +1 more source

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew   +11 more
wiley   +1 more source

A Weighted Bootstrap Approach to Bootstrap Iteration

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2000
Summary The operation of resampling from a bootstrap resample, encountered in applications of the double bootstrap, maybe viewed as resampling directly from the sample but using probability weights that are proportional to the numbers of times that sample values appear in the resample.
Hall, Peter, Maesono, Y
openaire   +2 more sources

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron   +5 more
wiley   +1 more source

An Advanced Hybrid Boot-LSTM-ICSO-PP Approach for Day-Ahead Probabilistic PV Power Yield Forecasting and Intra-Hour Power Fluctuation Estimation

open access: yesIEEE Access
Probabilistic forecasting models have been developed over the past years in order to aid in the estimation of the uncertainty of the predictive results. A hybrid, bootstrapping long-short term memory (Boot-LSTM)-based model is proposed in this paper, in ...
Ioannis K. Bazionis   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy