Results 171 to 180 of about 16,394 (216)

The use of edible insects in human food

Journal of the Science of Food and Agriculture, EarlyView.
Abstract The world population is expected to reach approximately 10 billion people by 2050, which will significantly increase global food demand and may lead to agricultural shortages and a higher risk of food insecurity. In this context, this review discusses the potential of insects as alternative sources of animal protein, addressing their ...
Pamela Barroso de Oliveira, Hugo Calixto Fonseca, Cláudia Regina Vieira, Gleidson Giordano Pinto de Carvalho, Jane Sélia dos Reis dos Coimbra, Bruna Mara Aparecida de Carvalho Mesquita   +5 more
wiley   +1 more source

A bearing fault diagnosis method for hydrodynamic transmissions integrating few-shot learning and transfer learning. [PDF]

Sci Rep
Sun D, Yang X, Yang H.
europepmc   +1 more source

Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach

Macromolecular Rapid Communications, EarlyView.
When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge, Ramindu De Silva, Yanan Fan, Scott A. Sisson, Martina H. Stenzel   +4 more
wiley   +1 more source

Multi-Method Integration for Spectral Band Importance Analysis in Coal Characterization. [PDF]

Sensors (Basel)
Zhang J, Zhao T, Dou Y, Liu Z, Zhou Y.
europepmc   +1 more source

Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers

Macromolecular Rapid Communications, EarlyView.
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley   +1 more source

An Accurate Machine-Learned Potential for Krypton under Extreme Conditions. [PDF]

J Phys Chem Lett
Iwasaki AJ, Kirsz M, Pruteanu CG, Ackland GJ.   +3 more
europepmc   +1 more source

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery

Materials Genome Engineering Advances, EarlyView.
ElementBERT extracts semantic embeddings of chemical elements from 1.29 million alloy‐related abstracts, providing robust descriptors that improve prediction accuracy by up to 23% across titanium, high‐entropy, and shape memory alloys, with demonstrated generalization on alloy compositions reported in 2025.
Yunze Jia, Yuehui Xian, Yangyang Xu, Pengfei Dang, Xiangdong Ding, Jun Sun, Yumei Zhou, Dezhen Xue   +7 more
wiley   +1 more source

Advances in surrogate modeling for biological agent-based simulations: trends, challenges, and future prospects. [PDF]

J Math Biol
Norton KA, Bergman D, Jain HV, Jackson T.   +3 more
europepmc   +1 more source

Machine Learning‐Driven Predictive Modeling and Multi‐Objective Exploration of Oxaliplatin‐Loaded Nanocarriers for Enhanced Loading and Encapsulation Efficiency

Materials Genome Engineering Advances, EarlyView.
Integrating ML and multi‐objective optimization enabled efficient, accurate design of nanocarriers with optimized loading and encapsulation efficiencies. ABSTRACT Oxaliplatin (OXA), a critical third‐generation platinum chemotherapeutic, is significantly limited by suboptimal loading capacity and encapsulation efficiency in nanoparticle‐based delivery ...
Abbas Rahdar, Maryam Shirzad, Sonia Fathi‐Karkan, M. Ali Aboudzadeh   +3 more
wiley   +1 more source

Development and Characterization of a Biodegradable Radiopaque PLA/Gd₂O₃ Filament for Bone-Equivalent Phantom Produced via Fused Filament Fabrication. [PDF]

Polymers (Basel)
Özmen Ö, Dursun S.
europepmc   +1 more source