Results 181 to 190 of about 851,141 (296)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Powers of Desire

Cover -- Dedication -- Title -- Copyright -- Contents -- Acknowledgments -- Introduction -- SECTION I The Capitalist Paradox: Expanding and Contracting Pleasures -- Sex and Society: A Research Note from Social History and Anthropology -- "Charity Girls ...
Snitow, Ann.
core  

Patterns and predictors of classes of sexual desire trajectories in couples with medical infertility undergoing medically assisted reproduction. [PDF]

J Sex Med
Rosen NO, Jabbour K, Marcotte-Beaumier G, Rossi M, Bergeron S, Brassard A, Péloquin K.   +6 more
europepmc   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

Llewellyn Brown (éd.), Sam Beckett 1 : L'ascèse du sujet

Miranda: Revue Pluridisciplinaire du Monde Anglophone, 2012
Philippe Birgy
doaj  

Desire to Weigh Less and Unhealthy Weight Control Behaviors Among U.S. Adults: Evidence From NHANES 2017-2018. [PDF]

Obes Sci Pract
Garcia AV, Dodge E, Aboul-Enein BH.
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Sexual Dysregulation After Traumatic Brain Injury and Stroke: A Critical Narrative Review of Neurobiology, Clinical Phenotypes, and Management. [PDF]

Brain Sci
Calabrò RS, De Luca R, Ruberto RR, Calderone A, Milardi D, Tomaiuolo F.   +5 more
europepmc   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Investigating Predictors of Differential Trajectories of Suicidal Desire Across an Intensive Longitudinal Design. [PDF]

Suicide Life Threat Behav
Rogers ML, Robison M, Tran JH, Mitaj D.
europepmc   +1 more source