Results 231 to 240 of about 370,928 (312)

Wearable Thermoelectric Generators for In Vivo Modulation of Insulin Release

Advanced Energy Materials, EarlyView.
This work presents a wearable, self‐powered thermoelectric system (IGNITE) that sustainably harvests body heat to electrically stimulate engineered human cells for insulin release. Operating autonomously without batteries, IGNITE achieves glycemic control in diabetic mice, demonstrating a significant advance in bioelectronic medicine and setting the ...
Debasis Maity, Jinbo Huang, Martin Fussenegger   +2 more
wiley   +1 more source

Dynamic power and frequency domain allocation for dedicated sensing signals in downlink ISAC. [PDF]

Sci Rep
Aman M, Rehman GU, Zubair M, Alharbey R, Daud A, Khan SU.   +5 more
europepmc   +1 more source

Bio‐Inspired Cascade Photocatalysis on Fe Single‐Atom Carbon Nitride Upcycles Plastic Wastes for Effective Acetic Acid Production

Advanced Energy Materials, EarlyView.
This work demonstrates a novel cascade photocatalysis concept using Fe single‐atom catalysts (Fe@C3N4 SAC) to directly upcycle plastics (PET, PP, PE, PVC) into valuable acetic acid at ambient conditions. Inspired by microbial degradation, the bifunctional cascade photocatalyst combines Fenton‐like oxidation and CO2 photoreduction, as validated by ...
Wei Wei, Cheng Du, Jiawei Ge, Xiang Wang, Zuolong Chen, Meng Zhang, Tao Guo, Lei Wang, Maoyu Wang, Yuzi Liu, Hua Zhou, Chengjun Sun, Ning Chen, Weifeng Chen, Brant Billinghurst, Mohsen Shakouri, Peter Sprenger, Fatemeh Fani Sani, Yulian Quan, Brian Kendall, Roy Brouwer, Yimin A. Wu   +21 more
wiley   +1 more source

Specification-compliant fracture parameter extraction and rock mass classification on tunnel faces with improved YOLOv8-seg. [PDF]

Sci Rep
Wang Z, Zhou L, Fu D, Zhang Z, Zhang S, Zhang M.   +5 more
europepmc   +1 more source

Economic and Environmental Tradeoffs in Cultivating Short Food Supply Chains With Urban Indoor Agriculture

Agribusiness, EarlyView.
ABSTRACT This study advances the literature on sustainable urban agriculture and alternative sustainable food production systems, which have gained momentum due to the need to strengthen regional food supply chains and meet the growing urban demand for fresh food. Indoor agriculture (IA) holds promise for year‐round cultivation of fresh produce even in
Joseph Seong, H. Christopher Peterson, Simone Valle de Souza   +2 more
wiley   +1 more source

The fiber of persistent homology for trees. [PDF]

J Appl Comput Topol
Beers D, Leygonie J.
europepmc   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

Corn Kernel Segmentation and Damage Detection Using a Hybrid Watershed-Convex Hull Approach. [PDF]

Foods
Shen Y, Wang W, Luo X, Zou F, Yin Z.
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source