Results 111 to 120 of about 875,238 (253)

Electragel for Advanced Static Charge Mitigation and Energy Harvesting

Advanced Science, Volume 12, Issue 46, December 11, 2025.
Electragel is a transformative material that scavenges static charges for simultaneous dissipation and electricity generation, enabling dual‐purpose static control and energy harvesting across industries while shifting paradigms from mitigation to sustainable utilization of electrostatic energy. Abstract The heightened sensitivity of modern electronics
Irum Firdous, Muhammad Fahim, Kaixin Lin, Tsz Chung Ho, Yihao Zhu, Chi Yan Tso   +5 more
wiley   +1 more source

Balancing Barriers and Enablers: Swedish SMEs' Journey Toward Contributing to SDGs

Business Strategy and the Environment, Volume 34, Issue 8, Page 9605-9619, December 2025.
ABSTRACT Swedish multinational SMEs contribute to sustainable development goals (SDGs) by implementing various business processes and practices that are internal and external to the organization. However, research related to SDGs and business practices contributing to their implementation often focuses on large enterprises, whereas small‐ and medium ...
Gyulnara Yunusbayeva, Hanna Helene Pohl, Jens Martin Hjelmberg, Waheed Akbar Bhatti   +3 more
wiley   +1 more source

System data communication structures for active-control transport aircraft, volume 2 [PDF]

The application of communication structures to advanced transport aircraft are addressed. First, a set of avionic functional requirements is established, and a baseline set of avionics equipment is defined that will meet the requirements.
Brock, L. D., Hanley, L. D., Hopkins, A. L., Jansson, D. G., Martin, J. H., Serben, S., Smith, T. B.   +6 more
core   +1 more source

TEDS EMU Fault Image Dataset

Engineering Reports, Volume 7, Issue 12, December 2025.
A standardized dataset integrating TEDS image features and operational knowledge addresses quality and distribution issues, enabling efficient deep learning‐based fault recognition for safer EMU operations. ABSTRACT The application of deep learning methods in the research on intelligent recognition of fault images in Electric Multiple Units (EMUs ...
Mengxi Gao, Kai Yang, Miaomiao Qi, Anni Meng, Xiaoyu Guo   +4 more
wiley   +1 more source

Development and Implementation of an Emergency Action Plan in Football. [PDF]

HSS J, 2023
Maher JD, Weiss L.
europepmc   +1 more source

Analytical study of electrical disconnect system for use on manned and unmanned missions [PDF]

The objective of this contract is to establish an optimum electrical disconnect system design(s) for use on manned and unmanned missions. The purpose of the disconnect system is to electrically mate and demate the spacecraft to subsystem module ...
Lenda, J. A., Rosener, A. A., Trummer, R. O.   +2 more
core   +1 more source

Variant Classification Using Proteomics‐Informed Large Language Models Increases Power of Rare Variant Association Studies and Enhances Target Discovery

Genetic Epidemiology, Volume 49, Issue 8, December 2025.
ABSTRACT Rare variant association analysis, which assesses the aggregate effect of rare damaging variants within a gene, is a powerful strategy for advancing knowledge of human biology. Numerous models have been proposed to identify damaging coding variants, with the most recent ones employing deep learning and large language models (LLMs) to predict ...
Christopher E. Gillies, Joelle Mbatchou, Lukas Habegger, Michael D. Kessler, Suying Bao, Suganthi Balasubramanian, Olivier Delaneau, Jack A. Kosmicki, Cristen J. Willer, Hyun Min Kang, Aris Baras, Jeffrey G. Reid, Jonathan Marchini, Gonçalo R. Abecasis, Maya Ghoussaini   +14 more
wiley   +1 more source

Stimulation of High‐Conductivity Points in Human Skin Reduces Biotin Levels to Modulate Intracellular Metabolism and Local Energy Production

Health Science Reports, Volume 8, Issue 12, December 2025.
ABSTRACT Background and Aims Acupuncture is a widely used therapeutic practice that targets specific points on or beneath the skin, known as acupoints. While acupoints are thought to exhibit low electrical resistance, their underlying biophysical and molecular characteristics remain incompletely understood.
Kazuki Takagaki, Kristina Todorova, Kentaro Kajiya, Andrea Clocchiatti, Stefano Sol, Fabiana Boncimino, Anna Mandinova   +6 more
wiley   +1 more source

Utilizing 3D fast spin echo anatomical imaging to reduce the number of contrast preparations in T1ρ$$ {T}_{1\rho } $$ quantification of knee cartilage using learning‐based methods

Magnetic Resonance in Medicine, Volume 94, Issue 6, Page 2745-2757, December 2025.
Abstract Purpose To propose and evaluate an accelerated T1ρ$$ {T}_{1\rho } $$ quantification method that combines T1ρ$$ {T}_{1\rho } $$‐weighted fast spin echo (FSE) images and proton density (PD)‐weighted anatomical FSE images, leveraging deep learning models for T1ρ$$ {T}_{1\rho } $$ mapping. The goal is to reduce scan time and facilitate integration
Junru Zhong, Chaoxing Huang, Ziqiang Yu, Fan Xiao, Thierry Blu, Siyue Li, Tim‐Yun Michael Ong, Ki‐Wai Kevin Ho, Queenie Chan, James F. Griffith, Weitian Chen   +10 more
wiley   +1 more source

Amazonian fish migration as a social–cultural–ecological process

People and Nature, Volume 7, Issue 12, Page 3297-3312, December 2025.
Abstract In this study, we highlight the rich perspectives and explanations of fish migration held by Indigenous groups across the Amazon. We present the aspects of Indigenous cosmological stories, drawing from our exploratory review of cultural ethnographies and grey literature, as well as the authors' own experiences. We ask, how do Amazonian peoples
LuLu Victoria‐Lacy, Thiago B. A. Couto, Natalia C. Piland, Jesús Dámaso, Stephannie Fernandes, Simone Athayde, Elizabeth P. Anderson   +6 more
wiley   +1 more source