Results 51 to 60 of about 20,036 (292)
Extension Economists: Valued in Mission, Penalized in Practice
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT As the public engagement arm of the land‐grant mission, we argue that Extension faculty in US agricultural economics departments face an identity crossroads as they struggle for institutional support. Specifically, we argue that Extension economists function as boundary‐spanning professionals within academic structures that often devalue ...
Trey Malone +5 more
wiley +1 more source
Praxis Educativa, 2018 En este trabajo se plantean un conjunto de notas que pretenden dialogar con algunas de las cuestiones que dejan abiertas los autores del Manifiesto. Nuestro recorrido reflexivo parte de considerar que la demanda que formulan Biesta y Säfström implica ...
Jose Alberto Yuni, Claudio Ariel Urbano
doaj +2 more sources
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Advanced Intelligent Discovery, EarlyView.Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
“Cancer was an alchemist”: Eve Ensler’s Experiences of Vulnerability in In the Body of the World
European Journal of American Studies, 2017 This article analyzes Eve Ensler’s experiences of vulnerability as they are related in her 2013 memoir, In the Body of the World. While the book illustrates “traditional” or etymological vulnerability, resulting from trauma and cancer, it also ...
Pascale Antolin
doaj +1 more source
Epistemic Tools and Epistemic Agents in Scientonomy
Scientonomy: Journal for the Science of Science, 2019 The only subtype of epistemic agent currently recognized within scientonomy is community. The place of both individuals and epistemic tools in the scientonomic ontology is yet to be clarified. This paper extends the scientonomic ontology to include epistemic agents and epistemic tools as well as their relationship to one another.
openaire +3 more sources
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Nota Editorial al primer volumen de la Revista Digital Episteme
, 2014 La creación de Episteme Digital responde, por una parte, a la esencia misma de la gestión universitaria para colocar a la ciencia en un lugar destacado de su agenda académica y, por otra parte, a los nuevos niveles de calidad para la investigación ...
Comité Editorial, Director General /
core +1 more source
Episteme NS, Vol. 9, Nº 3, 1989
, 2017 Contenido:Artículos:E. De Bustos: Sobre la observancia de reglas lingüísticasU. Moulines: ¿Qué es la filosofía?J.
NS, Episteme
core +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source