Results 51 to 60 of about 415,714 (310)

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Postsynaptic Stability and Variability Described by a Stochastic Model of Endosomal Trafficking

open access: yesFrontiers in Cellular Neuroscience, 2019
Neurons undergo dynamic processes of constitutive AMPA-type glutamate receptor (AMPAR) trafficking, such as the insertion and internalization of AMPARs by exocytosis and endocytosis, while stably maintaining synaptic efficacy.
Taegon Kim   +2 more
doaj   +1 more source

Multi-Objective Closed-loop Supply Chain Considering Vehicles and Solving by New Approaches in Metaheuristics [PDF]

open access: yesمجله مدل سازی در مهندسی, 2019
Recently, concerns have been raised about the environmental and social impacts of commercial activities. Also, most papers on the design of the supply chain network, focus on economic performance.
Anita Abdi, Mostafa Hajiaghaei-Keshteli
doaj   +1 more source

Model uncertainty stochastic mean-field control

open access: yes, 2019
We consider the problem of optimal control of a mean-field stochasticdifferential equation (SDE) under model uncertainty. The model uncertaintyis represented by ambiguity about the law LðXðtÞÞ of the stateX(t) at time t.
Agram, Nacira,   +2 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Explicit solutions for a probabilistic moraine preservation model

open access: yesJournal of Glaciology, 2016
If a series of glacial advances occurs over the same pathway, the moraines that are now present may constitute an incomplete record of the total history.
PAUL MUZIKAR
doaj   +1 more source

Stochastic modelling of urban structure [PDF]

open access: yesProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2018
The building of mathematical and computer models of cities has a long history. The core elements are models of flows (spatial interaction) and the dynamics of structural evolution. In this article, we develop a stochastic model of urban structure to formally account for uncertainty arising from less predictable events.
L. Ellam   +3 more
openaire   +5 more sources

carliercomputationallab/stochastic-model-YAP-activation: stochastic-model-YAP-activation

open access: yes
<p>A stochastic model for YAP activation within focal adhesion complexes</p> <p>This repository contains the required files to run the 3D particle-based stochastic simulation for YAP activation within the focal adhesion complexes.</p&
Hamidreza Jafarinia
core   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

open access: yesAdvanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky   +5 more
wiley   +1 more source

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