Results 51 to 60 of about 29,174 (267)

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

open access: yesAdvanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang   +10 more
wiley   +1 more source

Decoding Uncertainty Quantification for Oncology—An Illustration Using Radiomics

open access: yesDiagnostics
While AI models are developed in oncology for predicting different clinical outcomes, the focus is often on accuracy and many fail to adequately communicate the degree of certainty in these predictions.
Florian van Daalen   +8 more
doaj   +1 more source

Conspiratorial Thinking During COVID-19: The Roles of Paranoia, Delusion-Proneness, and Intolerance of Uncertainty

open access: yesFrontiers in Psychiatry, 2021
The COVID-19 global pandemic has left many feeling a sense of profound uncertainty about their world, safety, and livelihood. Sources espousing misinformation and conspiracy theories frequently offer information that can help make sense of this ...
Emmett M. Larsen   +3 more
doaj   +1 more source

From Epistemic Expressivism to Epistemic Inferentialism [PDF]

open access: yes, 2010
Abstract This chapter explains my reasons for endorsing an inferentialist rather than an expressivist form of nondescriptivism about epistemic discourse. Epistemic inferentialism is the view that epistemic claims mean what they do in virtue of the inferential responsibilities and entitlements one commits to in making them, rather than ...
openaire   +1 more source

Hardware Acceleration of Stochastic Neural Networks Enabled by Bit‐Cell Level Co‐Design of Magnetic Tunnel Junctions

open access: yesAdvanced Science, EarlyView.
An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang   +6 more
wiley   +1 more source

CONOCER: UNA VISIÓN EPISTÉMICA [PDF]

open access: yesActa Colombiana de Psicología, 2011
This article examines an epistemic notion of knowledge as opposed to other epistemic visions. For that purpose, it starts by rethinking Chisholm's proposal (1977/1982) and highlights the language difficulty to differentiate between to know (that/how) and
Sarmiento Reyes, Juan Carlos
doaj  

Some considerations on the semi-modal auxiliary verbs [PDF]

open access: yesJournal of Social Sciences, 2019
This paper deals with the livelised cost of electricity from gaseous biofuels, such as biogas and bio-syngas, produced from biodegradable waste, using different technologies (internal combustion engines, gas turbine, fuel cells) at different capacities ...
CIUMACENCO, Valentina
doaj   +1 more source

Mechanism‐Informed Language Modeling and Oxygenated 3D Screening Identify Berberine–Enzalutamide Synergy in Prostate Cancer Models

open access: yesAdvanced Science, EarlyView.
By integrating knowledge‐augmented artificial intelligence with an oxygen‐supplemented 3D screening platform, a synergistic interaction between berberine and enzalutamide is identified. The framework integrates compound mechanisms of action with disease‐relevant signaling context to prioritize candidate combinations and generate testable pathway‐based ...
Chih‐Hui Lo   +15 more
wiley   +1 more source

Adverbial stance marking in the introduction and conclusion sections of legal research articles

open access: yesRevista de Lingüística y Lenguas Aplicadas, 2013
Although scientific research articles have traditionally been taken as examples of an objective style of writing that aims to minimise researchers’ voices in their texts (Gilbert and Mulkay, 1984:42), authors inevitably adopt stances towards the ...
Heather Adams, Elena Quintana-Toledo
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

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