Results 131 to 140 of about 388,372 (282)
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Le tourisme médical : une nouvelle façon de voyager
Même si ses racines remontent à l’antiquité, la dénomination « tourisme médical » est fort récente et désigne les patients désireux de se faire soigner à l’étranger à des prix abordables, profitant d’une expertise médicale et d’un décor différent de ...
Loïck Menvielle, William Menvielle
doaj
Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley +1 more source
Transport aérien : Risques, turbulences et métamorphoses
Le présent article aborde les éléments de risque qui caractérisent le secteur du transport aérien en présentant tout d’abord une perspective historique, en évaluant les conséquences des événements récents comme les attentats du 11 septembre et la crise ...
Jacques Roy
doaj
The demand for health insurance in a multirisk context [PDF]
Using a model of bivariate decision under risk, we analyse the health insurance demand when there are two sources of risk: a health risk and an uninsurable one. We examine how the uninsurable risk affects the coverage of the health risk. We show that the
Mohamed Anouar Razgallah
core
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Habitudes de voyage des Québécois et des Ontariens dans les pays où l’hépatite A est endémique
L’HA est hautement endémique, c’est-à-dire que la maladie se transmet de façon continue et importante dans tous les pays d’Amérique latine et des Caraïbes, d’Afrique et d’Asie (sauf le Japon) et dans la majorité des pays de l’Europe de l’Est. Le Mexique,
Gaston De Serres +3 more
doaj
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

