Results 121 to 130 of about 87,688 (364)
Processing of Biltong (Dried Beef) to Achieve USDA-FSIS 5-log Reduction of Salmonella without a Heat Lethality Step [PDF]
, 2020 Caitlin E. Karolenko +3 more
openalex +1 more source
Absence seizures: Update on signaling mechanisms and networks
Epilepsia Open, EarlyView.Abstract Absence seizures (AS) are a hallmark of genetic generalized epilepsies (GGE), characterized by brief episodes of impaired consciousness accompanied by electroencephalographic spike‐and‐wave discharges (SWDs). Traditionally attributed to cortico‐thalamo‐cortical (CTC) dysrhythmia, emerging evidence suggests a more intricate pathophysiological ...
Ozlem Akman, Filiz Onat
wiley +1 more source
Extrapolation of K to \pi\pi decay amplitude
, 2001 We examine the uncertainties involved in the off-mass-shell extrapolation of the $K\rightarrow \pi\pi$ decay amplitude with emphasis on those aspects that have so far been overlooked or ignored.
Buchalla G. +7 more
core +1 more source
Numerical Investigation of the FSI Characteristics in a Tubular Pump
, 2017 Flow condition was simulated in a shaft tubular pump by using the Shear-Stress Transport (SST) - turbulence model with high quality structured grids in design condition.
Shuo Wang, L. Zhang, Guojiang Yin
semanticscholar +1 more source
International Journal for Numerical Methods in Fluids, EarlyView.We introduce new efficient and accurate first order finite volume‐type numerical schemes, for the non‐conservative one‐dimensional blood flow equations with transport, taking into account different velocity profiles. The framework is the flux‐vector splitting approach of Toro and Vázquez‐Cendón (2012), that splits the system in two subsystems of PDEs ...
Alessandra Spilimbergo +3 more
wiley +1 more source
Uncertainties due to hadronic production in FSI at LBNF [PDF]
, 2021 R. Devi, Jaydip Singh, Baba Potukuchi
openalex
When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns
Journal of Forecasting, EarlyView.ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley +1 more source
Numerical simulation of the flow rate regulator valve using OpenFOAM
Труды Института системного программирования РАН, 2018 The results of methodical investigation, aimed on testing of the performances of free opensource CFD toolbox OpenFOAM in the field of simulation of hydraulic units’ dynamics using Finite Volume Method and dynamic meshes are presented.
V. G. Melnikova +2 more
doaj +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
Journal of Forecasting, EarlyView.ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Earnings Quality and ESG Performance in Energy and Utilities: What Really Matters?
International Journal of Finance &Economics, EarlyView.ABSTRACT The paper investigates the controversial relationship between firms' earnings quality and environmental, social and governance (ESG) performance, focusing on the energy and utility sectors given their significant regulatory pressures, environmental impact, and capital‐intensive nature, which render ESG performance particularly important for ...
Antonios Persakis +2 more
wiley +1 more source