Results 221 to 230 of about 581,440 (303)

Surface‐Functionalized MXene for Enhanced Photocatalytic CO2 Reduction

Advanced Energy Materials, EarlyView.
Poly(catechol/p‐cresol)‐functionalized MXene (f‐MXene) enhances oxidation stability while preserving conductivity, enabling efficient interfacial electron transfer in a Cu/f‐MXene/reduced TiO2 photocatalyst. Strong Cu–f‐MXene synergy promotes CO2 activation and selective CH4 production, achieving a CH4 yield of 18.1 µmol g−1 (>200 × vs.
Dongyun Kim, Young Ho Park, Dong Gyu Lee, Kyuseok Lee, Junho Lee, Chaelin Shin, Jaeyoung Kim, B. Yamunasree, Soomin Han, Eunhee Gong, Hyeonjong Jeong, Min Gyu Kim, Chang‐Hee Cho, Seung Jun Lee, Soorathep Kheawhom, G. Murali, Tae Kyung Lee, Insik In, Su‐Il In   +18 more
wiley   +1 more source

Metaphors and the Invention of Writing. [PDF]

Top Cogn Sci
Ottaviano L, Kelley K, Cartolano M, Ferrara S.   +3 more
europepmc   +1 more source

Advancing Geriatric Hospice Care in China: An Interpretation and Critical Analysis of the New National Standard WS/T 844–2024

AGING MEDICINE, EarlyView.
The Setting Standards for Elderly Hospice Care Wards are crucial for meeting urgent elderly patient needs, enhancing hospice care quality, and advancing China's humanized elderly health system. This Standard specifies the configuration requirements for geriatric hospice care wards in terms of ward configuration, staffing models, age‐appropriate ...
Yinan Wu, Chang Li, Shangxin Liu, Huiping Chen, Yongyi Chen, Xinyu Chen, Yumei Wang, Yuan Qin, Zhong Yi, Pengjun Zhang, Biyan Jiang, Jianye Wang, Bei Lai   +12 more
wiley   +1 more source

Supervised attention method with co-reference resolution for aspect extraction. [PDF]

Sci Rep
Chauhan GS, Puri S, Nahta R, Garg N.
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Experiential retailing in cultural spaces: A case study of multisensory design in batik boutiques. [PDF]

F1000Res
Ustazah EN, Setijanti P, Hayati A.
europepmc   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Towards Human‐Centered Intelligent Inhabitable Spaces: A Review

Advanced Intelligent Systems, EarlyView.
This review introduces Robot‐Rooms as a new category of architectural‐scale robots that do not operate within a space but actively form and reconfigure the space around their occupants. Drawing from robotics, HCI, architecture, and the arts, an interdisciplinary framework is proposed that maps the enabling technologies and integration challenges ...
Nithesh Kumar, Ge Lv, Keith E. Green, Ian D. Walker   +3 more
wiley   +1 more source

"I don't know if it makes a difference to safety?" perception vs actuality: A mixed-methods study on older adults' experiences of home stair falls revealed during COVID-19 lockdown. [PDF]

PLoS One
Wharton E, O'Brien T, Foster RJ, Giebel C, Shenton J, Akpan A, Mills A, Roys M, Maganaris C.   +8 more
europepmc   +1 more source

Rewriting Tumor Immunity With Bacterial Membrane Vesicles: A Versatile and Potent Therapeutic Strategy

Advanced NanoBiomed Research, EarlyView.
Bacterial membrane vesicles (BMVs) emerge as promising platforms for cancer immunotherapy owing to their intrinsic adjuvant properties and tunable cargo delivery capabilities. Their ability to modulate the tumor microenvironment, enhance antitumor immune responses, and support personalized therapeutic strategies highlights their growing potential as ...
Md Sifat Rahi, Md Mijanur Rahman, Asma Talukder, Urooj Yousaf Virk, Jennifer C. Wilson, Nigel McMillan, Ming Q. Wei   +6 more
wiley   +1 more source