Results 191 to 200 of about 227,953 (263)

Development and Content Evaluation of the Eating Behavior and Appetite Questionnaire (EBAQ) for Individuals with Obesity. [PDF]

Adv Ther
Kanu C, Clucas C, Skalicky A, Samuelson A, Goetz I, Neff LM, Boye KS, Karn H.   +7 more
europepmc   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

Parent-Adolescent Relationships and Disordered Eating Behavior: Evidence From a Cross-Sectional Nationwide Study in Brazil. [PDF]

Health Sci Rep
Mesas AE, Rodrigues R, Favaretto GRS, López-Gil JF, Martínez-Vizcaíno V, González AD, Jiménez-López E.   +6 more
europepmc   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

Effect of Work Stress and Eating Behavior: A Study Among Academicians in Türkiye. [PDF]

Healthcare (Basel)
İnce-Palamutoğlu M, Oruçoğlu B, İnce-Yenilmez M, Ağır G.   +3 more
europepmc   +1 more source

Gold‐Stabilized Copper Enables Anodic Hydrogen Evolution for Ultralow‐Voltage CO‐to‐Ethylene Electrolysis

Advanced Materials, EarlyView.
Gold‐stabilized copper suppresses hydroxide‐driven deactivation during anodic hydrogen evolution from furfural. Pairing this low‐potential anode with CO‐to‐ethylene electroreduction enables sub‐1 V operation at 400 mA cm−2, high single‐pass CO conversion, and co‐production of ethylene, furoic acid, and a separate hydrogen stream.
Sungjin Park, Hengzhou Liu, Heejong Shin, Hafiz Ghulam Abbas, Loann Bonnenfant, Ke Xie, Hyeon Seok Lee, Fatemeh Arabyarmohammadi, Jianan Erick Huang, Panos Papangelakis, Peiying Wang, Ali Shayesteh Zeraati, Jiheon Kim, Roham Dorakhan, David Sinton, Xiaopeng Liu, Wenzhen Li, Byoung‐hoon Lee, Edward H. Sargent   +18 more
wiley   +1 more source

Association Between Nursing Education and Risk of Eating Behavior Disorders Among Undergraduate Students. [PDF]

Nurs Rep
Cano-Estrada EA, Guerrero-Solano JA, Rodríguez-Moreno R, López-Nolasco B, Mendoza-Mojica SA, Razo-Blanco-Hernández DM, Orbe-Orihuela YC, Sánchez-Velázquez JCF, Ordoñez-Villordo E, Hernández-Mariano JÁ.   +9 more
europepmc   +1 more source

Polymeric Sorbents as Energy‐Efficient Alternative to Cryogenic Distillation for Light Hydrocarbon Purification

Advanced Materials, EarlyView.
The transition from cryogenic distillation to polymeric sorbents for light hydrocarbon purification is crucial for energy and environmental sustainability. The polymeric sorbents are engineered to separate gas mixtures based on their specific properties.
Kelechi Festus, Ankit Mondal, Suman Mandal, Jazmine Aiya D. Marquez, Arnab Ghosh, Aishi Sikdar, Urme Podder, Ahana Sarkar, Qingsheng Wang, Hong‐Cai Zhou   +9 more
wiley   +1 more source

Central adiposity outperforms disordered eating behavior in predicting type 2 diabetes risk in young adults: an explainable machine learning approach. [PDF]

Front Public Health
Alatas H, Arslan N, Kurt H, Bentli S.
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source