Results 91 to 100 of about 14,433,442 (249)

Empirical application of the multi-level perspective: tracing the history of ground-source heat pumps systems in Finland

Sustainability: Science, Practice, & Policy, 2019
The emergence and evolution of more sustainable technologies and related industrial fields is a core concern for sustainability transitions scholars.
Ville Lauttamäki, Sampsa Hyysalo
doaj   +1 more source

Universal Battery Capacity Degradation Forecasting Driven by Foundation Models Across Diverse Chemistries and Conditions

Advanced Science, EarlyView.
A unified time‐series forecasting framework learns transferable battery capacity‐degradation patterns from 20 heterogeneous datasets spanning chemistries, formats, temperatures, and cycling conditions. A single model delivers competitive predictions on both known and previously unseen datasets, while physics‐guided representation learning improves ...
Joey Chan, Huan Wang, Zhen Chen, Haoyu Pan, Wei Wu, Zirong Wang, Ershun Pan, Min Xie, Lifeng Xi   +8 more
wiley   +1 more source

Normative facets of transitioning food systems

Frontiers in Sustainable Food Systems
Food systems are complex systems shaped by social, economic, political and environmental influences. The multi-level perspective (MLP), adopted from transition studies and examines system change as embedded in society, has been influential in food system
Emily Soh, Emily Soh, Eran Feitelson, Elliot M. Berry   +3 more
doaj   +1 more source

Translational Barriers and AI‐Driven Challenges of Microfluidics‐Enabled Wearables and Implantable Systems in Personalized Medicine

Advanced Science, EarlyView.
An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang, Ching Yin Fong, Xin Huang, Bee Luan Khoo   +3 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Temperature‐Modulated MEMS Gas Sensor Array Enabled by Physics‐Informed Deep Learning for Thermal‐Runaway Characteristic Gas Discrimination

Advanced Science, EarlyView.
This work presents a 2 × 2 integrated single‐chip MEMS gas sensor array with temperature modulation and deep learning for discriminating thermal‐runaway characteristic gases. The array generates distinct temperature‐modulated response patterns for four characteristic gases (H2, CO, CH4, and CO2), while a HK‐MoE model is developed to achieve robust ...
Qin Luo, Qi Guo, Rongyue Liu, Yilin Li, Haiping Zhu, Wei Zhang, Zhongren Chen, Zhaojun Liu, Xing Cheng   +8 more
wiley   +1 more source

Managing water resources in dynamic settings: A multi-level, multi-stakeholder perspective [PDF]

, 2010
The aim of the present article is to contribute to the debate on the role of research in sustainable management of water and related resources, based on experiences in the Upper Ewaso Ng’iro and Pangani river basins in East Africa.
Messerli, Peter, Msuya, Tuli, Chitiki, A., Ngana, James, Mbeyale, Gimbage, Notter, Benedikt   +5 more
core   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

Advanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen, Jiahui Lai, Qiongjiao Zeng, Liangbin Zhou, Boguang Yang, Bin Zhang, Min Wang, Jiajing Zhou, Kieran Lau, Khoon S. Lim, Zhong Alan Li, Rocky S. Tuan   +11 more
wiley   +1 more source

Ultralow‐Energy Analog Reservoir Computing via Reconfigurable 2‐Transistor Memory

Advanced Science, EarlyView.
This work presents a reconfigurable reservoir‐computing platform based on an oxide InSnZnO two‐transistor cell in which a hold bias selects volatile relaxation for the reservoir or quasi‐non‐volatile multilevel storage for the readout. Multi‐level hold‐bias kernel tune relaxation currents to generate diverse time constants, enriching reservoir states ...
Jeong‐Min Park, Yeong‐In Kim, Jeong Hyun Yoon, Sein Lee, Wooho Ham, Dongyun Lee, Junseo Lee, Dongwook Shin, Kyung Jun Park, Seok Daniel Namgung, Min‐Kyu Song, Jang‐Yeon Kwon   +11 more
wiley   +1 more source

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source