Multiple Characteristics Criterion Based Incipient Fault Detection of Distribution Systems by Anning WANG, Rongqi FAN, Yang ZHANG, Jiachao LIU, Wei HU, Shimin ZHONG, Ke JIA

“…The fault characteristics of the new distribution system have changed significantly under the high proportion of new energy access, with variable operation modes and limited short-circuit currents. …”
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Absorbent material composition prediction based on multi-objective regression with value stacking and selection by Shi He, Jiaying Chen, Kai Huang, Jian Mao, Kexun Li, Taikang Liu

“…Traditional multi-objective regression methods often fail to provide accurate component predictions, limiting their performance.MethodWe propose a multi-objective predictive model for absorbent compositions. Using single-variable predictions as cumulative features in a regression chain improves feature representation. …”
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Multi-objective optimization of dual-stator permanent magnet motor based on composite algorithm by Xiaoguang Kong, Zhuo Yang

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Epoxy/Silicone Blend Loaded with N-Doped CNT Composites: Study on the Optoelectronic Properties by Younes Ziat, Hamza Belkhanchi, Maryama Hammi, Ousama Ifguis

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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. …”
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Effective Mechanical Properties of a Composite Material Reinforced by Oil Shale Ash Particles by Olga Kononova, Andrejs Krasnikovs, Ilgar Jafarli, Iveta Novakova, Volodymyr Gulik, Mindaugas Vaišnoras

“…This study determined the elastic properties of composites and concretes reinforced with oil shale ash (OSA) particles, a byproduct of oil shale combustion in an electric power plant in Estonia (Auvere). …”
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Meal Pattern Variables and 15-Year Mortality: Results from the Gothenburg H70 Birth Cohort Studies, Sweden by Emmalee Gisslevik, Love Svanqvist, Ingmar Skoog, Lauren Lissner, Elisabet Rothenberg

“…Further research should examine the nutritional composition of various meal patterns to clarify these associations.…”
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Soil organic carbon estimation using spaceborne hyperspectral composites on a large scale by Xiangyu Zhao, Zhitong Xiong, Paul Karlshöfer, Nikolaos Tziolas, Martin Wiesmeier, Uta Heiden, Xiao Xiang Zhu

“…Moreover, a spectral attention mechanism was added to the model. Besides hyperspectral input, the digital elevation model (DEM) was also included as an auxiliary input as the measured spectrum has inter-variability dependent on the elevation and the generated topographical features are also relevant with SOC distribution. …”
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A new index for detection of submerged aquatic plants under variable quality water: an extension of the soil-line concept by Shruti Khanna, Erin L. Hestir, Joaquim Bellvert, Jennifer D. Boyer, Kristen D. Shapiro, Susan L. Ustin

“…We propose three new spectral indices based on the soil-line concept that overcome the confounding influence of varying water quality and SAP cover in shallow inland waters. Spectral variability of water due to water quality differences can be modeled using a “water line” while SAP spectral differences due to cover and/or composition, can be modeled using a “SAP line.” …”
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Machine Learning Approach for Predicting Hypertension Based on Body Composition in South Korean Adults by Jeong-Woo Seo, Sanghun Lee, Mi Hong Yim

“…In the hypertension prediction model, the most important variables for men were age, skeletal muscle mass (SMM), and body fat mass (BFM), in that order. …”
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Methodology for Developing a Composite Social Development Index (CSDI): Essential Decisions and Results by Mehdi Mobaraki, Zohre Shahbazi, Najme Mostafavi

“…However, measuring complex social issues, such as social development with their various dimensions and dispersed information as a single variable poses significant challenges. As a result, composite indicators are typically employed. …”
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Mechanical Performance of Group Stud Connectors in Steel–Concrete Composite Beams with Straddle Monorail by Lei-Ting Jiao, Zhen-Hao Wu, Yong-Fei Zhao, Ji-Zhi Zhao, Shu-Ke Wang

“…This study investigates the behavior of group stud connectors by conducting push-out tests on four specimens, comprising three full-scale models and one 1:3 scaled model. Variables such as the number of connectors, arrangement, and specimen size were explored. …”
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Random shear resistance of a headed-stud connector in composite steel-concrete beam by Tomasz Domański, Mariusz Maślak

“…On its basis, the degree of simplification of such evaluation is estimated, as well as its consequences, resulting from the use of a conventional standard model in this respect.…”
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Deciphering and predicting algal bloom variability using size-fractionated organic matter and machine learning in a complex watershed by Yun Kyung Lee, Haeseong Oh, Bo-Mi Lee, Jin Hur

“…Understanding the drivers of algal bloom variability is critical for managing eutrophication in freshwater reservoirs, yet most predictive models underrepresent the role of dissolved organic matter (DOM) composition. …”
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Linear Vibrations Analysis of a Composite Sandwich Conical Shell Manufactured by Additive Technologies by Kostiantyn V. Avramov, Borys V. Uspenskyi, Borys H. Liubarskyi, Oleksii A. Smetskykh

Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites by Barun Haldar, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, Murugesan P. Papathi

“…The performance evaluation showed that ML models effectively predicted friction behavior and wear behavior of magnesium-based hybrid composites using tribological test data. …”
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Unlocking chickpea flour potential: AI-powered prediction for quality assessment and compositional characterisation by Ali Zia, Muhammad Husnain, Sally Buck, Jonathan Richetti, Elizabeth Hulm, Jean-Philippe Ral, Vivien Rolland, Xavier Sirault

“…However, the inherent variability in the composition of chickpea flour, influenced by genetic diversity, environmental conditions, and processing techniques, poses significant challenges to standardisation and quality control. …”
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SUMMARIA — A XAI Support Methodology by Generating Composite Linguistic Summaries of Qualitative Data by Carlos Rafael Rodríguez-Rodríguez, Yeleny Zulueta-Veliz, Dainys Gainza-Reyes

“…Abstract The main stream of Linguistic Data Summarization involves modeling numerical attributes using linguistic variables, which makes it difficult addressing real-world problems with qualitative or mixed data. …”
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Landscape Composition and Forest Structure Shape Phyllostomid Bat Assemblages in the Atlantic Forest Remnants by Ricardo Bovendorp, Eduardo Mariano-Neto, Albérico Queiroz, Deborah Faria

“…We applied structural equation modeling to test the direct and indirect effects of landscape and local variables. …”
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Body Composition Profiles and Associated Factors in Adolescents UndergoingLong-term Regular Exercise by WANG Yutong, GUO Xiaoyuan, DU Hanze, PAN Hui, WANG Wei, ZHANG Mei, BAN Bo, LI Ping, ZHANG Xinran, ZHANG Qiuping, SUN Hongshuang, LI Rong, CHEN Shi

“…Linear regression models examined associations between training type (direct-contact vs. non-contact sports) and follow-up body fat percentage, BMI, and waist circumference as dependent variables, adjusting for covariates.ResultsThe study included 110 adolescents (39 female, 71 male) with median age 13.21 years (IQR: 12.46-14.33). …”
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