Results 161 to 170 of about 166,859,727 (259)
How to construct analysis of covariance in clinical trials: ANCOVA with one covariate in a completely randomized design structure. [PDF]
Korean J AnesthesiolJung W, Lee K, Kim HH, Lim C.
europepmc +1 more source
Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany
Agribusiness, EarlyView.ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever +2 more
wiley +1 more source
Analysis of Covariance in General Factorial Designs Through Multiple Contrast Tests Under Variance Heteroscedasticity. [PDF]
Stat MedBecher M, Hothorn LA, Konietschke F.
europepmc +1 more source
Agribusiness, EarlyView.ABSTRACT Rural farm households continue to face significant risks from climate change, resulting in many of them diversifying their livelihood sources into other income‐generating activities to increase their incomes and improve food and nutrition security. In this study, we examine the drivers and impact of farm households' participation in livelihood
Mahwish Arshad, Awudu Abdulai
wiley +1 more source
Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets
Agribusiness, EarlyView.ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez +3 more
wiley +1 more source
Covariance Tracking via Geometric Particle Filtering
, 2009 Region covariance descriptor recently proposedhas has been approved robust and elegant to describe a region of interest, which has been applied to visual tracking.
Liu YP(刘云鹏) +2 more
core
AIChE Journal, EarlyView.Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia +4 more
wiley +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
AIChE Journal, EarlyView.Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
COVID-19 and lockdown in India: Evaluation using analysis of covariance
, 2020 Tak A, Das B, Gahlot S.
europepmc +1 more source