Results 81 to 90 of about 174 (163)

Overcoming the Trade‐off in Oscillatory TRNGs With a Hybrid NbO2 and Atomic Fluctuation Entropy Source Architecture

Advanced Electronic Materials, EarlyView.
A hybrid oscillator combining an atomic swith and an insulator‐to metal transition device converts stochastic filament resistance into random oscillation periods. The interaction between highly variable atomic switching and stable high‐frequency oscillation amplifies entropy, enabling fast energy‐efficient, and reliable true random number generation ...
Sunhyeong Lee, Seongjae Heo, Dongmin Kim, Ohhyuk Kwon, Hyunsang Hwang   +4 more
wiley   +1 more source

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

Advanced Energy and Sustainability Research, EarlyView.
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa, Silvia Bobba, Cynthia E. L. Latunussa, Enrica Leccisi   +3 more
wiley   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

Secrecy Performance Analysis of Energy Harvesting Untrusted Relay Networks with Hardware Impairments

International Journal of Distributed Sensor Networks
In this work, we focus on the issue of secure communication in energy harvesting untrusted relay networks taking into account the impact of hardware impairments, where an energy-constrained relay, powered by received radio frequency signals, attempts to ...
Dechuan Chen, Jin Li, Jianwei Hu, Xingang Zhang, Shuai Zhang, Dong Wang   +5 more
doaj   +1 more source

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A High‐Voltage Membrane‐Free Li–Organic Hybrid Flow Battery Using Eutectic Lithium Chemistry

Angewandte Chemie, EarlyView.
A high‐voltage (3.6 V) membrane‐free Li–organic hybrid flow battery is enabled by a deep‐eutectic lithium electrolyte composed of trifluoroacetamide (TFAD) and LiPF6, paired with a dichloromethane (DCM) catholyte containing phenothiazine (PTZ). The TFAD/LiPF6 eutectic provides fast Li+ transport and stable Li‐metal cycling, while the immiscible TFAD ...
Xiao Wang, Bindu Dahal, Yuhang Tang, Jack J. McGrath, Rabin Siwakoti, Feng Wang, Jun Cheng, Jianbing “Jimmy” Jiang   +7 more
wiley   +2 more sources

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source