Results 71 to 80 of about 5,575,022 (286)

Hate, crime and epistemic vulnerability: on sense-making and feelings of (un)safety among Danish Muslims

open access: yesFrontiers in Sociology
This article investigates feelings of (un)safety emerging from knowing and sharing knowledge about hate crime and hate incidents. Drawing on fieldwork and interviews with young Muslims living in the greater Copenhagen area, the article explores the way ...
Anne-Mai Flyvholm   +1 more
doaj   +1 more source

Not Too Risky. How to Take a Reasonable Stance on Human Enhancement

open access: yesFilosofia Unisinos, 2022
Following a trend in bioethical/applied ethics approaches, one of the frustrating features of studies on technological human enhancement is their dichotomous tendency.
Murilo Mariano Vilaça, Andrea Lavazza
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Extension Economists: Valued in Mission, Penalized in Practice

open access: yesApplied 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

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

On the Epistemic Meaning of CAN [PDF]

open access: yes, 1991
Among the model auxiliaries, the semantic characteristics of CAN seem to be rather unique. While the rest of the modal auxiliaries have clear-cut distinctions between Root and Episteme, CAN looks fuzzy.
寺田, 正義   +2 more
core  

An integrated risk index accounting for epistemic uncertainty in probability risk assessment

open access: yes, 2021
In this paper, we present an integrated framework for quantifying epistemic uncertainty in probabilistic risk assessment. Three types of epistemic uncertainty, that is, completeness, structural and parametric uncertainties, are considered.
Flage R.   +3 more
core   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

open access: yesAdvanced 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

Don’t Just "Google It"

open access: yesFeminist Philosophy Quarterly, 2022
This paper examines the argumentative retort “Just Google it” in response to cases of epistemic exploitation. Critical assessments of the reply often examine the phrase from an argumentation theory standpoint, which views it as at best rude and at worst
Tempest M. Henning
doaj  

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

open access: yesAdvanced 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

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