Results 171 to 180 of about 36,322 (258)

Assessing Order in Liquid, Supercooled, and Crystalline Water. [PDF]

J Phys Chem B
Maharjan R, Williamson C, Fennell CJ.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Detection of Interpretable and Fine-Grained Brain Tumor Magnetic Resonance Imaging Based on Progressive Pruning: Machine Learning Model Development and Validation Study. [PDF]

JMIR Med Inform
Liu Y, Song S, Lian S, Zhang X.
europepmc   +1 more source

Development and Evaluation of a Low‐Cost, Semi‐Automated Camera Trap for Surveying Bumble Bee Communities

Remote Sensing in Ecology and Conservation, EarlyView.
Camera traps are emerging as a useful tool for noninvasive insect monitoring; however, it remains unclear how to lure diurnal insects to traps, how to detect them upon arrival, and how camera‐based methods compare to conventional sampling. We developed a low‐cost, open‐source camera trap to monitor wild bumble bees in agricultural fields. We found that
Michael P. Getz, Lincoln R. Best, Oksana Ostroverkhova, Andony P. Melathopoulos, Timothy L. Warren   +4 more
wiley   +1 more source

A New Social Life Cycle Assessment Framework: An AI‐Driven Optimization Approach and Application

Sustainable Development, EarlyView.
ABSTRACT Social life cycle assessment (SLCA) has increasingly been acknowledged as a tool for assessing the societal impacts of services and products. However, the fragmented nature of current approaches makes it difficult to compare this concept and its practical applications.
Flavio Vassallo Mattos, João Luiz Calmon, Alencar Bravo, Darli Vieira   +3 more
wiley   +1 more source

Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease. [PDF]

Sci Rep
Grassia M, d'Andrea V, Finc K, De Domenico M, Mangioni G.   +4 more
europepmc   +1 more source

Neurotrophic Signaling, Sleep Physiology, and Retinal Neuroprotection: Integrative Mechanisms and Therapeutic Implications for Glaucoma

Sensory Neuroscience, EarlyView.
Glaucoma is increasingly understood as a neurodegenerative disorder shaped by sleep and circadian physiology, not intraocular pressure alone. Sleep loss and obstructive sleep apnea suppress BDNF–TrkB neurotrophic signaling, impair sleep‐dependent glymphatic clearance, and trigger microglial neuroinflammation and vascular insult at the optic nerve head,
Karyme M. Alemán‐Villa, Emiliano Terán, Javier A. Magaña‐Gómez, Loranda Calderón‐Zamora, Beatriz K. De la Herrán‐Arita, Alberto K. De la Herrán‐Arita   +5 more
wiley   +1 more source

SODNet: a scale-oriented detection network for efficient UAV-based sewage outfall detection. [PDF]

Sci Rep
Zeng L, Liu X, Dai B, Wen L, Du Z.
europepmc   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

BayesianKAN: A reaction condition optimization framework integrating Kolmogorov‐Arnold network and Bayesian optimization

Smart Molecules, EarlyView.
A novel BayesianKAN framework integrates Kolmogorov‐Arnold networks with Bayesian optimization to efficiently navigate complex factor spaces, accelerating the discovery of optimal reaction conditions for chemical synthesis. Abstract Efficient optimization of chemical reaction conditions is crucial for enhancing reaction yield and selectivity, yet ...
Juntao Wang, Yujing Zhao, Peiyu Yi, Liyuan Duan, Qingwei Meng, Qilei Liu   +5 more
wiley   +1 more source