Results 81 to 90 of about 85,840 (192)

Discours, cohérence, énonciation. Une approche de sémiotique discursive [PDF]

open access: yes, 2005
International audienceL'analyse sémiotique vise à construire comme objet de connaissance la signification telle qu'elle se trouve manifestée dans des textes.
Panier, Louis
core   +2 more sources

Universal Oxychlorination Strategy in Halide Solid Electrolytes for All‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A WO2Cl2‐driven oxychlorination strategy enables bulk oxygen incorporation into close‐packed LixMCl6 (M = Zr, Y, Er, In) halide lattices. Oxygen is selectively anchored by W6+ as lattice‐integrated [WO2Cl4]2− units, regulating the anionic framework, diversifying Li coordination, and weakening Li–Cl interactions.
Jae‐Seung Kim   +13 more
wiley   +1 more source

Measuring trade in value added in the new industrial economy: statistical implications [PDF]

open access: yes
Vertical integration of production processes at international level and the resulting fragmentation of the value chains increasingly question the relevance of traditional trade indicators.
Escaith, Hubert
core   +1 more source

La Responsabilité Sociétale de L'entreprise et Les Réactions des Parties Prenantes : le Cas de L'opérateur Téléphonique Mtn et des Utilisateurs de Téléphonie Mobile au Bénin [PDF]

open access: yes, 2013
The purpose of this research is to understand the mechanisms by which the actions of corporate social responsibility can affect organizational commitment and organizational identification consumers.
Maxime Jean Claude Hounyovi
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Reformulation et textualité dans les contes de La Maison Tellier de Maupassant

open access: yesSHS Web of Conferences, 2012
À partir du corpus expérimental que constituent les contes de La Maison Tellier, cette contribution se propose d’analyser l’opération discursive de la reformulation comme processus dynamique et interprétatif. Définie comme « facteur de textualité » par J.
Magri-Mourgues Véronique
doaj   +1 more source

Racines sociostructurelles des statuts sociométriques chez les enfants en milieu scolaire [PDF]

open access: yes, 2000
Cette étude examine la distribution des nominations sociométriques selon l'organisation sociostructurelle de classes d'écoles élémentaires. Ont pris part à l'étude 75 filles et 71 garçons de neuf ans appartenant à deux contextes socioculturels (Montréal,
Cazenave-Tapie, Pascal   +1 more
core   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

open access: yesAdvanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam   +5 more
wiley   +1 more source

Identidade e trabalho na conteporaneidade: repensando articulações possíveis Identity and work in contemporaneousness: re-thinking the possible articulations

open access: yesPsicologia & Sociedade, 2007
As transformações da sociedade contemporânea vêm sendo analisadas por diversas disciplinas no campo das Ciências Humanas, buscando compreender suas implicações para os sujeitos e suas relações sociais.
Maria Chalfin Coutinho   +2 more
doaj   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

open access: yesAdvanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez   +4 more
wiley   +1 more source

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