Results 121 to 130 of about 86,826 (273)
In this work, three prediction machine learning (ML) models (MLP, RBF, BP) are developed to predict the ultimate tensile strength (UTS) and elongation (EL) of the AFSDed Al2219 samples. ABSTRACT Additive friction stir deposition (AFSD) is an effective method for fabricating high‐performance deposits, with process parameters directly influencing the ...
Chan Wa Tam +10 more
wiley +1 more source
ABSTRACT Concerning human resources, research in the tourism sector has traditionally focused on a personnel‐managerial perspective rather than a labor market‐condition analysis per se, limiting the examination of its unique working ecosystem and distinct socioeconomic particularities. This has evidenced an apparent thematic research gap in the tourism
Maria Jesus Vazquez‐Garcia +2 more
wiley +1 more source
Abstract The bidirectional interplay between sleep and metabolic homeostasis is fundamental to physiological health. While the roles of glucose and lipid metabolism in sleep regulation have been extensively characterized, bile acids (BAs), which are traditionally viewed as digestive surfactants, are emerging as critical metabolic messengers with ...
Yu Jiang +4 more
wiley +1 more source
Abstract Writing is crucial in tertiary education, yet enhancing the complexity of academic writing presents significant challenges for second language (L2) learners. This study explores the potential of dialogue journal writing (DJW), an interactive and low‐stress classroom activity, to enhance writing complexity among novice L2 writers.
Barry Lee Reynolds +2 more
wiley +1 more source
Inflammatory Shift in Chronic Rhinosinusitis Amidst Guangzhou's Urbanization (2000–2018)
ABSTRACT Background Chronic rhinosinusitis (CRS) exhibits temporal and geographic diversity in pathological endotypes with progressive eosinophilic infiltration, while the underlying causes remain unclear. Current pathological endotypes determination relies on mean cell count per high‐power field, requiring accuracy optimization.
Ning Kang +16 more
wiley +1 more source
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Is chubby cute? Clinical perspectives on obesity prevention and metabolic health in Macau. [PDF]
Mio W, Tan C, Tou P, Cheang S, Cheang C.
europepmc +1 more source
ABSTRACT China's diversified agricultural policies have effectively improved both the yield and environmental performance of the crop sector. Quantifying productivity trends and their drivers is key to formulating strategies for high‐quality and low‐carbon crop development.
Yang Liu +2 more
wiley +1 more source
Correction: Liu Shen Wan regulates the SPHK1/S1P axis to ameliorate influenza-induced inflammation via integrated network pharmacology and lipidomics. [PDF]
Lei B +14 more
europepmc +1 more source

