Characterization of the mean and extreme Mediterranean cyclones and their variability during the period 1500 BCE to 1850 CE by O. Doensen, O. Doensen, M. Messmer, M. Messmer, M. Messmer, W. M. Kim, W. M. Kim, C. C. Raible, C. C. Raible

“…Although they have been extensively studied using global and regional climate models, their spatial and temporal variability in the Late Holocene is poorly understood. …”
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Analysis of Meteorological and Soil Parameters for Predicting Ecosystem State Dynamics by Lyazat Naizabayeva, Saberikamarposhti Morteza, Nurgul Seilova

“…This study presents a comprehensive quantitative analysis of the interplay between meteorological variables and soil conditions over the period 2018–2023 in the Almaty region. …”
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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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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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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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Multi-objective optimization of dual-stator permanent magnet motor based on composite algorithm by Xiaoguang Kong, Zhuo Yang

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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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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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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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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

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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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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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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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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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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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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Nutritional quality of Piptocoma discolor and Cratylia argentea as a non-timber forest products for animal feed in the Caquetá province by Faver Álvarez Carrillo, Fernando Casanoves, Yolanda Cuellar Medina, Jhoyner Felipe Ortiz Meneses, Victor Julio Balanta Martinez, Gustavo Adolfo Celis Parra

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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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