Results 91 to 100 of about 49,409 (237)

Extraordinary n‐type Tellurium‐Free Thermoelectric Performance of Y‐Doped BiSe via Synergistic Effect of Vacancies and Band Engineering

Advanced Functional Materials, EarlyView.
Yttrium doping in Sb‐alloyed BiSe synergistically induces Bi vacancies and flattens conduction bands, simultaneously slashing lattice thermal conductivity by 50% and boosting the power factor. The optimized n‐type Bi0.64Sb0.3Y0.06Se delivers a peak zT of 0.91 at 393 K (average zT 0.76, 300–523 K) and an 8‐pair module with 4.6% conversion efficiency ...
Wenhao Xie, Fang Lyu, Xiaolong Sun, Chang Li, Xiaolu Zhu, Liangwei Hu, Qianfeng Ding, Wenjie Zhou, Muyang Huang, Yineng Gou, Yi Zhao, Han Tang, Wei Cao, Yue Hou, Yun Zheng, Ady Suwardi, Ziyu Wang   +16 more
wiley   +1 more source

Tissue‐Adhesive Fabric‐Based Bioelectronics for Wearable and Implantable Applications

Advanced Functional Materials, EarlyView.
An implantable and wearable bioelectronic textile (iTextile) is introduced as a unified platform bridging wearable and implantable systems. By integrating a self‐healing polymer, stretchable silk fabric, conductive composite electrodes, and an adhesive hydrogel, the platform enables conformal, stable interfacing with soft tissues. The iTextile supports
Soojung An, Yewon Kim, Kyoungryong Kim, Heewon Choi, Sungjun Yoon, Jaewon Ju, Mikyung Shin, Donghee Son   +7 more
wiley   +1 more source

A Literature Review on Mathematical Creative Self-Efficacy and Mathematical Creativity

Journal of Educational Research and Policies
Due to the needs of societal development, mathematical creativity plays an increasingly important role in modern society. Understanding how to enhance mathematical creativity among junior high school students holds significant theoretical and practical implications for improving junior high school mathematics education.
openaire   +1 more source

Interface‐Defect Synergy Engineering of Amorphous Ga2O3 for Voltage‐Tunable Dual‐Mode Optoelectronic Devices: Self‐Powered Imaging and Neuromorphic Vision

Advanced Functional Materials, EarlyView.
An interface‐defect co‐engineered strategy enables bias‐programmable integration of self‐powered photodetection and low‐power synaptic functionalities within a single‐material amorphous Ga2O3 device. This design achieves reversible switching via voltage modulation, supporting high‐contrast imaging and visual memory, and demonstrates a neuromorphic ...
Wanjun Li, Aijiang Yan, Lijuan Ye, Xuanyu Shan, Chunyan Liu, Hong Zhang, Shuren Zhou, Honglin Li, Di Pang, Yan Tang, Guoping Qin, Zhongqiang Wang, Peng Yu, Zhenxiang Cheng   +13 more
wiley   +1 more source

Development of Multifunctional Hierarchically Restructured Antibacterial Neural Interfacing Electrodes via Plasma‐Enhanced Atomic Layer Deposition of Zinc Oxide Thin Films

Advanced Functional Materials, EarlyView.
ABSTRACT Next‐generation implantable neural‐interfacing devices are increasingly constrained by the coupled demands of electrode miniaturization, electrochemical performance, and implantation infection risk. Femtosecond laser–based hierarchical surface restructuring (HSR) technology has emerged as a scalable, manufacturing‐compatible platform for ...
Henna Khosla, Wesley Seche, Kriti Panchal, Steven J. May, Ekaterina Pomerantseva, Jacob Elmer, Tyler Cooper, Matthew J. Urban, Hailey Y. Maurer, Gregory A. Caputo, Jeffrey Hettinger, Shahram Amini, Gang Feng   +12 more
wiley   +1 more source

Why we play: A motivational–efficacy pathway from basic psychological needs to creative musicianship

Acta Psychologica
Purpose: To describe how simple psychological needs (autonomy, competence, relatedness) promote creative musicianship using a motivational-efficacy mechanism and whether autonomy support by the teacher enhances this mechanism.
Ming Liu
doaj   +1 more source

Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals

Advanced Functional Materials, EarlyView.
Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi, Samuel J. Ippolito, Chung Kim Nguyen, Durairaj Mahendiran, Michelle J. S. Spencer, Edwin L. H. Mayes, Billy James Murdoch, Jason Choi, Shamali De Silva, James Tardio, Adrian Trinchi, Ahmad E. Kandjani, Mohammad Al Kobaisi, Ylias Sabri   +13 more
wiley   +1 more source

Artificial intelligence and student creativity: An exploratory study of students’ experiences with AI tools

Computers in Human Behavior Reports
This study explores how students utilize AI tools in a short visual design task and how these experiences relate to self-reported creativity and creative self-efficacy, using an exploratory mixed-methods approach.
Tsai-Yun Mou
doaj   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

Advanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj, Xilal Y. Rima, Kim T. Nguyen, Courtney Culkins, Nana Boateng, Jacob Doon‐Ralls, Alejandro Bresolin, Xin Huang, Hong Li, Vahedi Amid, Ajeet Pal Singh, Dharti Shantaram, Anastasiia Amari, Mangesh D. Hade, Nicholas R. Merriam, Zachary D. Schultz, Scott Q. Harper, Nizar Y. Saad, Setty M. Magaña, Willa A. Hsueh, Rachel E. Kopec, Blaise R. Kimmel, Andre F. Palmer, Eduardo Reátegui   +23 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source