Results 81 to 90 of about 4,489 (189)

Bayesian optimization enables balanced ambipolar transport in self‐doped random conjugated polymers

InfoMat, EarlyView.
The integration of side‐chain self‐doping with Bayesian optimization enables balanced ambipolar transport in random conjugated polymers with only six experiments, establishing a general and efficient paradigm for the rational design of flexible electronic materials.
Pinyu Chen, Xiangrui Gong, Tianqiang Cui, Bolun Huang, Ying Jiang, Ye Zou, Lang Jiang, Baoxin Zhang, Chengshan Yuan, Xiangfeng Shao, Hao‐Li Zhang, Zitong Liu   +11 more
wiley   +1 more source

The European honey buzzard (Pernis apivorus) as an ally for the control of the invasive yellow‐legged hornet (Vespa velutina nigrithorax)

Pest Management Science, Volume 81, Issue 4, Page 2237-2247, April 2025.
The predatory effect of the honey‐buzzard affects the reproductive performance of Asian‐hornet colonies, decreasing the density of workers over distance and time. The foraging distances of the honey‐buzzard concentrates within the first 2000 m from nest, which supports the results observed.
Jorge Ángel Martín‐Ávila, Luisa María Díaz‐Aranda, José Manuel Fernández‐Pereira, Salvador Rebollo   +3 more
wiley   +1 more source

Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal, Iftikhar Ahmad, Asad Habib, Asad Ayub, Hamza Sethi, Ihsanullah Ihsanullah, Hakan Caliskan, Hiki Hong   +7 more
wiley   +1 more source

Artificial intelligence prediction algorithms for refractive error onset and progression in children and adolescents: A systematic review and meta‐analysis

Acta Ophthalmologica, EarlyView.
Abstract This systematic review and meta‐analysis evaluates the performance of artificial intelligence (AI)‐based models for predicting the onset and progression of refractive error (RE) in children and adolescents and quantitatively synthesizes their prediction accuracy.
Athanasia Sandali, Anna Nikolaidou, Theodora Gianni, Andreas Katsimpris, Ioannis D. Apostolopoulos, Lampros Lamprogiannis, Eirini Maliagkani   +6 more
wiley   +1 more source

Development of a Multi-Model Strategy Based Soft Sensor Using Gaussian Process Regression and Principal Component Analysis in Fermentation Processes

Chemical Engineering Transactions, 2017
In fermentation processes, single model based soft sensors cannot guarantee prediction performance owing to process characteristics of non-linearity, shifting operating modes, dynamics and uncertainty.
C. Mei, Y. Chen, H. Zhang, X. Chen, G. Liu   +4 more
doaj   +1 more source

Artificial Intelligence in Orthodontics: A Scoping Review of Methods and Applications

Orthodontics &Craniofacial Research, EarlyView.
ABSTRACT The rapid integration of artificial intelligence (AI) into orthodontics raises important questions about which methods are being applied, how they are being validated, and what barriers remain to clinical implementation. This study was conducted to inform orthodontic practitioners, researchers, and educators about the possibilities that AI ...
Yodhathai Satravaha, Chaiyapol Chaweewannakorn, Kawin Sipiyaruk, Supatchai Boonpratham, Ard Likitkulthanaporn, Supakit Peanchitlertkajorn, Zaw Htet Aung   +6 more
wiley   +1 more source

AI‐Driven Strategies for Automated Microalgae Production Systems: Enhancing Yield, Efficiency, and Commercial Viability

GCB Bioenergy, Volume 18, Issue 9, September 2026.
Microalgal bioproduct production is constrained by high cultivation costs. Integrating automated photobioreactors, real‐time pH, light and temperature control, AI‐driven automation, and electronic data logging enables smart cultivation, reduces manual intervention, improves process efficiency, and supports cost‐effective, scalable microalgal bioproduct
Angela Paul Peter, Wan Adibah Wan Mahari, Sharoen Yu Ming Lim, Abdirahman Yasin Ibrahim, Revathy Sankaran, Kalaimani Markandan, Theeba Rajasegran   +6 more
wiley   +1 more source

Transfer Learning-Enhanced Gaussian Process Regression (GPR) Model for Optimizing Stimulation Parameters with Limited Local Field Potential (LFP) Data

Journal of Physics: Conference Series
Abstract This study introduces transfer learning (TL) into rat deep brain stimulation (DBS) analgesia research to address the issue of data scarcity in the target domain. To this end, we propose an improved transfer component analysis (improved TCA) method that transfers source data to the target domain for constructing a Gaussian ...
Peijie Gao, Long Chen, Jing Wang, Jing Zhao   +3 more
openaire   +1 more source

Prevalence of Autism Spectrum Disorders and the Years Lived With Disability in Eastern Sub‐Saharan Africa, From 1990 to 2023

Brain and Behavior, Volume 16, Issue 8, August 2026.
Using Global Burden of Disease 2023 data, a regional analysis of Eastern Sub‐Saharan Africa from 1990–2023 found that 4.24 million people lived with autism spectrum disorders, accounting for 0.81 million years lived with disability. Stable trends underscore the need for earlier diagnosis, standardized diagnosis and culturally appropriate interventions.
Sebsibe Tadesse, Boko Loka Safayi, Abdulbasit Sherfa, Musa Jemal, Begetayinoral Kussia Lahole, Melese Chego Cheme, Sewhareg Belay, Asqual Gebreslassie Gebremariam, Gemechis Tuke, Abinet Zewudie, Gelgelo Wodessa, Geleta Nenko Dube   +11 more
wiley   +1 more source

Age‐Period‐Cohort Analysis and Projections of Smoking‐Attributable Upper Gastrointestinal Cancers Burden: A Comparative Study of China and the World

Cancer Medicine, Volume 15, Issue 8, August 2026.
ABSTRACT Background and Objectives Smoking is a major modifiable risk factor for upper gastrointestinal cancers (UGIC), particularly in China. This study investigated temporal trends, demographic patterns, and future projections of smoking‐attributable UGIC mortality globally and nationally.
Yunhao Li, Yanyan Guo, Man Ping Wang, Wen‐Qing Li, Wai. K. Leung   +4 more
wiley   +1 more source