Results 61 to 70 of about 29,174 (267)
Epistemic Tools and Epistemic Agents in Scientonomy
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
Extension Economists: Valued in Mission, Penalized in Practice
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
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
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
Managers of tourist destinations are currently trying to offer attractions and attractive destination resources to be visited by tourists. However, very few managers of tourist destinations, especially adventure tourism who pay attention to the values ...
Sukaris Sukaris +2 more
doaj +1 more source
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
Predicting Performance of Hall Effect Ion Source Using Machine Learning
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
Polish students often have problems identifying the contexts in which English epistemic adverbs such as arguably, conceivably, presumably can be used because their uses and functions tend to be culture- and language specific.
Agata Rozumko
doaj +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
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
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Epistemic/Non‐epistemic Dependence [PDF]
AbstractI foreground the principle of epistemic dependence. I isolate that relation and distinguish it from other relations and note what it does and does not entail. In particular, I distinguish between dependence and necessitation. This has many interesting consequences.
openaire +2 more sources

