Going long, going short, issue or liquidate? Corporate debt maturity of Mexican public firms by Lianet Farfán-Pérez, Jorge O. Moreno, María de las Mercedes Adamuz

“…Design/methodology/approach – This study, using a Tobit model for panel data and measuring maturity as a time variable, shows that size, liquidity and leverage, among other firm characteristics, as well as the market interest rate, explain debt maturity. …”
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Resistance training as a modulator of inflammation and cognition by Jacqueline Goodrich, Jamie L. Tartar, Jonathan Banks, Francesca Leon, Jose Antonio

“…Pearson correlations were also conducted to explore the relationship between biomarkers (CRP, IL-6, cortisol) and cognitive outcomes, with secondary analysis examining the impact of PSQI and lifestyle variables on the study’s results through within-subjects Pearson correlations.Results Paired t-tests revealed significant improvements in cognitive performance: Flanker (t(14) = 5.27, p < .001), Stroop (t(14) = -4.61, p < .001), and composite cognition (t(14) = -5.11, p < .001), along with increased muscle mass (t(14) = -4.21, p < .001). …”
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Impact of a 15-week ability-based training program on body composition and physical fitness in university-based fire academy recruits by Annette Zapp, Kyla Schults, Krissy Sanchez, Paige Sutton, Amanda Ehlrich, Jay Dawes

“…No multivariate outliers were detected in the model; significance was set at p < 0.05.Results Significant improvements (p ≤ 0.001) in sKM and BF% were observed between testing sessions 1 and 2, with statistically insignificant improvements between testing sessions 2 and 3, suggesting the overall program was impactful in providing positive body composition changes. …”
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Texture Profile Analysis of Sliced Cheese in relation to Chemical Composition and Storage Temperature by Yuanrong Zheng, Zhenmin Liu, Beihong Mo

“…Multivariate logistic regression models were established to describe the quantitative relationships of textural properties (dependent variables) to chemical composition and storage temperature (independent variables) of sliced cheeses. …”
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Turbidity and suspended sediment relationship based on sediment composition and particle size distribution by Jongmin Kim, Siyoon Kwon, Sewoong Chung, Young Do Kim

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Development of Durian Rind/Polypyrrole Composite and Its Application in Removing of Anionic Dyes by Yan Wang, Zijing Dai, Jiaqi Zha, Wenqing Wei

“…The adsorption of anionic dyes on DR/PPy conforms to the pseudo-second-order kinetic and Langmuir isotherm models with maximum adsorption capacity (qm,max) of 193.05, 171.23, and 147.71 mg g-1 for methyl orange, sunset yellow, and amaranth, respectively. …”
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Resin-based adhesives, composites, and luting agents: Investigation of article citations and altmetrics by Fernanda LAUER, Rodrigo Rohenkohl SILVA, Leticia Regina SARTORI, Kauê COLLARES, Rafael SARKIS-ONOFRE, Clóvis FAGGION JUNIOR, Rafael Ratto de MORAES

“…Data were analyzed using stepwise backward quasi-Poisson regression models (p < 0.05). A total of 707 articles were included, which evaluated restorative composites (58.3%), adhesives (27.2%), and luting agents (19.5%). …”
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Soil Reflectance Composite for Digital Soil Mapping in a Mediterranean Cropland District by Monica Zanini, Uta Heiden, Leonardo Pace, Raffaele Casa, Simone Priori

“…The procedure to obtain the SRC was carried out following the Soil Composite Mapping Processor (SCMaP) methodology. The Sentinel-2 bands of the SRC showed strong correlations with soil features, making them very suitable explicative variables for regression kriging. …”
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Characterization of the mean and extreme Mediterranean cyclones and their variability during the period 1500&thinsp;BCE to 1850&thinsp;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&#x2013;2023 in the Almaty region. …”
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A safety risk assessment method for TBM tunnel construction based on attribute interval identification theory by Bo Wang, Qikai Li, Zefan Xu, Shibin Niu, Xiangtian Nie

“…It determines the evaluation level and attribute intervals for each individual indicator, and subsequently calculates the interval values for both the individual indicators and the composite attribute. Finally, a case study demonstrates the model’s effectiveness and practical applicability.…”
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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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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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