Results 71 to 80 of about 10,090 (236)

Death and Rebirth of Atlántida: The Role of Social Learning in Bringing about Transformative Sustainability Processes in an Ecovillage

Southern African Journal of Environmental Education, 2016
This paper explores the role of social learning in bringing about transformative sustainability processes among individuals and communities. At a time when sustainability is being seriously questioned in terms of what it is and how it can be implemented ...
Martha Chaves , Thomas Macintyre, Eliana Riano, Jorge Calero, Arjen Wals   +4 more
doaj  

Prototype Learning for Medical Time Series Classification via Human–Machine Collaboration

Sensors
Deep neural networks must address the dual challenge of delivering high-accuracy predictions and providing user-friendly explanations. While deep models are widely used in the field of time series modeling, deciphering the core principles that govern the
Jia Xie, Zhu Wang, Zhiwen Yu, Yasan Ding, Bin Guo   +4 more
doaj   +1 more source

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Using triple-loop learning to identify adaptive behaviour of resilient supply chain

Transport Economics and Logistics, 2018
The contemporary environment of supply chains is characterized by discontinuity, being the source of unpredictable changes producing effects that are difficult to determine. Underestimating and not including the discontinuity in the managerial concept makes the supply chain homomorphic with respect to reality, thus, it is reflected only approximately ...
openaire   +2 more sources

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

DeepPNCC: reconstructing pseudo-spatial cell-cell interaction landscapes from single-cell data to decipher breast cancer pathogenesis

Journal of Translational Medicine
Background Single-cell RNA sequencing (scRNA-seq) enables high-resolution transcriptomic analysis but loses spatial context due to tissue dissociation, thereby limiting insights into spatially regulated cell–cell interactions critical for tissue function
Xu-hua Li, Xiao-ling Gao, Deng-hui Guo, Jie Shen, Si-rui Li, Na Wang, Xiao-ling Wen, Jiang-ying Liang, Hong-jiu Wang, Zhen-zhen Wang   +9 more
doaj   +1 more source

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

Multimodal Actuation and Environment Adaptive Strategies of Bio‐Inspired Micro/Nanorobots in Precision Medicine

Advanced Robotics Research, EarlyView.
An introduction for multidrive and environment‐adaptive micro/nanorobotics: design and fabrication strategies, intelligent actuation, and their applications. Various intelligent actuation approaches—magnetic, acoustic, optical, chemical, and biological—can be synergistically designed to enhance flexibility and adaptive behavior for precision medicine ...
Aiqing Ma, Han Gong, Jiacheng Ouyang, Liqi Chen, Tianfang Kang, Yiran He, Guojun Huang, Sidi Zheng, Ting Yin, Hong Pan, Lintao Cai   +10 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source