Results 141 to 150 of about 527,420 (298)

Hybrid Machine Learning–Geostatistical Modeling of Soil Quality in Saline–Sodic Soils Under Arid Agroecosystems of Northwestern Peru

Journal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background Soil fertility management in mango and banana production systems in northern Peru is limited by marked spatial heterogeneity, driven by chemical imbalances, particularly salinity, alkalinity, and sodicity. Aim This study developed a spatial predictive framework to assess soil quality across the agricultural area of Morropón Province,
Sebastian Casas‐Niño, Gerson La Rosa Lama, Sharon Mejia, Ruth Mercado, Kenyi Quispe   +4 more
wiley   +1 more source

Bayesian Semiparametric Inference in Multiple Equation Models [PDF]

This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components.
Gary Koop, Dale Poirier, Justin Tobias
core  

Psychometric evaluation of the Continuous Traumatic Stress Response Scale under intensified national threat

Journal of Traumatic Stress, EarlyView.
Abstract The Continuous Traumatic Stress Response Scale (CTSR) was developed to assess traumatic stress responses under ongoing threat. This study evaluated whether the original 11‐item, three‐factor CTSR structure retained psychometric support after the October 7, 2023, attacks and subsequent war in Israel.
Aviva Goral, Limor Aharonson‐Daniel
wiley   +1 more source

A Supervised Learning Framework for Accelerating Solvers and Metaheuristics in Routing Problems

Networks, EarlyView.
ABSTRACT Routing problems such as the traveling salesman problem (TSP) and the capacitated vehicle routing problem (CVRP) are computationally challenging due to the exponential growth of their feasible solution spaces with increasing instance size.
Johannes Gückel, Stefan Voigt, Pirmin Fontaine   +2 more
wiley   +1 more source

Semiparametric Estimation of Stochastic Frontiers A Bayesian Penalized Approach [PDF]

Almost all previous approaches to estimating semiparametric frontier models, where the functional form for the production (cost) function is unknown, have been local nonparametric (ie. kernel) approaches. In this paper we use a penalized (ie.
Gholamreza Hajargasht
core  

A historical specimen of False Lingzhi (Ganoderma lucidum) resolves a 245‐year‐old confusion within an important medicinal mushroom group

PLANTS, PEOPLE, PLANET, EarlyView.
Traditional Chinese Medicine has expanded far beyond Asia, with growing markets in North America and Europe for supplements and functional foods. Lingzhi or Reishi (Ganoderma lingzhi), a well‐known medicinal mushroom, is valued for its anti‐inflammatory and anticancer properties.
Torda Varga, Spike R. J. Parker, Alessandro Agorini, Alexandra Dombrowski, Lewis Hadfield, A. Martyn Ainsworth, David L. Hawksworth, Masoomeh Ghobad‐Nejhad, Viktor Papp   +8 more
wiley   +1 more source

Surviving fully Bayesian nonparametric regression models

, 2013
This chapter compares two Bayesian nonparametric models that generalize the accelerated failure time model, based on recent work on probability models for predictor-dependent probability distributions.
Hanson, Timothy E., Jara Vallejos, Alejandro Antonio   +1 more
core  

Financial Inclusion, Energy Transition, and Sustainable Development in Sub‐Saharan Africa: A Distributional Panel Analysis

Sustainable Development, EarlyView.
ABSTRACT Sub‐Saharan Africa (SSA) faces pressing financing and structural transitions to achieve the 2030 Agenda, yet the distributional relationships linking financial inclusion and renewable energy adoption to sustainable development goal (SDG) achievement remain underexplored. This study investigates the roles of multidimensional financial inclusion
Mehdi Seraj, Abdulmajeed Tsowa Muhammad, Turgut Tursoy   +2 more
wiley   +1 more source

Energy Security and Sustainability in the GCC: The Conditional and Contested Role of AI and Digital Infrastructure

Sustainable Development, EarlyView.
ABSTRACT As Gulf Cooperation Council (GCC) economies pursue simultaneous commitments to national AI strategies, renewable energy targets, and Paris Agreement pledges, a key sustainable‐management question remains empirically unresolved: does digital and AI investment genuinely advance energy security and environmental sustainability in hydrocarbon ...
Alanoud Al‐Maadid, Mohamed Sami Ben Ali, Azmat Sher   +2 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source