Results 81 to 90 of about 7,358 (239)

Chemically Programmable Underwater Sound‐Absorbing Metamaterial via MXene Self‐Assembly

Advanced Science, EarlyView.
MXene self‐assembly creates a chemically programmable underwater metamaterial with quasi‐periodic layers and a chemical‐physical multi‐level constraint system. A crosslinker as a ‘chemical scissor’ precisely edits microscopic interactions, exciting deep‐subwavelength strong local resonances that induce near‐zero/negative effective bulk modulus (Keff ...
Ziwen Gan, Ranran Qi, Mingyi Liao, Bowen Chen, Chen Cheng, Wei Tu   +5 more
wiley   +1 more source

2D Materials Empowered Radar Absorbing Materials: A Review

Advanced Electronic Materials, EarlyView.
Recent progress in 2D materials empowered radar absorbing materials (RAMs) is reviewed, highlighting four key structural design strategies that enhance electromagnetic wave absorption. Porous structures, heterogeneous interfaces, printed metamaterials, and tunable metasurfaces are compared in terms of their governing physics, fabrication complexity ...
Yujie Zhong, Shuncong Zhong, Yi Huang, Shan‐Tung Tu, Minghong Wu   +4 more
wiley   +1 more source

In Situ Evolution of Artificial Interphase Enabling Stable, High‐Performance Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
An evolutionary artificial interphase is presented for stable lithium metal batteries. A Mg3N2‐based layer spontaneously evolves into a hybrid interphase enriched with superionic Li3N and lithiophilic Mg‐Li alloy during cycling. This dynamic, self‐reinforcing mechanism effectively suppresses dendrite growth and enables exceptional long‐term cycling ...
Sangcheol Lee, Hyunsu Han, Dong Ki Kim, Michael J. Lee, Min‐Sik Park   +4 more
wiley   +1 more source

Consumers' Willingness to Pay a Premium for Climate‐Friendly Food Production: The Role of Production Method Information and Social Norms

Agribusiness, EarlyView.
ABSTRACT This study examines whether information about production methods and social norms can increase consumers' willingness to pay (WTP) a price premium for food produced using climate‐friendly farming methods. A randomized survey experiment was conducted with 1568 respondents across Denmark, Lithuania, and Spain, who were assigned to one of four ...
Kassa Tarekegn Erekalo, Tove Christensen, Sigrid Denver, Marilena Gemtou, Spyros Fountas, Søren Marcus Pedersen   +5 more
wiley   +1 more source

The Role of Existential Aspects in Predicting Mental Health and Burnout

Iranian Journal of Psychiatry, 2018
Objective: Burnout and poor mental health are among the most important issues in workplace, which may lead to serious consequences for organizations. The present study aimed at finding possible prediction of the variables based on existential aspects of ...
saeed tabatabaei barzoki, Parvin Rafieinia, Imanollah Bigdeli, Mahmood Najafi   +3 more
doaj  

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Validation of Schwartz’s Human Values Scale in Spanish Children

Psicología Educativa: Revista de los Psicólogos de la Educación
The research aimed to analyze the validity of the Picture Based Value Survey for Children (PBVS-C) following the Schwartz’s model of values in a sample of 411 Spanish children (207 boys and 204 girls).
José L. Álvaro, Elena Pascual Sánchez, Khalil da Costa Silva, Ana R. Torres, Alicia Garrido, Miryam Rodríguez   +5 more
doaj   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
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, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

The Correlation between Happiness and Self-transcendence in the Elderly of Khoshkrud, Zarandieh City

نشریه پرستاری ایران, 2020
Background & Aims: The population of the elderly has been on a rise, which shows more attention to ensuring the health and well-being of the elderly.
M Lalehkani, A Davati, A Isanejad, M Jadid-Milani   +3 more
doaj  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source