A Combination of Few Physicochemical and Fungal Parameters Can Explain the Soil‐Dependent Variation in Wheat Biomass After Inoculation With Cladosporium tenuissimum by Lena von Saldern, Loïc Thurre, Waelchli Jan, Judith Kobler, Juliane Krenz, Klaus Schlaeppi

“…For each soil, we measured physicochemical parameters and characterised the soil fungal community composition. We then performed variable selection and exhaustive model screenings to find the best model explaining variations in BRI. …”
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Computed tomography-derived quantitative imaging biomarkers enable the prediction of disease manifestations and survival in patients with systemic sclerosis by Gabriela Riemekasten, Felix Nensa, Hanna Grasshoff, René Hosch, Malte Maria Sieren, Lennart Berkel, Jörg Barkhausen, Roman Kloeckner, Franz Wegner

“…Introduction Systemic sclerosis (SSc) is a complex inflammatory vasculopathy with diverse symptoms and variable disease progression. Despite its known impact on body composition (BC), clinical decision-making has yet to incorporate these biomarkers. …”
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Associations of Individual and Neighborhood Factors with Disparities in COVID-19 Incidence and Outcomes by Margaret E. Samuels-Kalow, Rebecca E. Cash, Kori S. Zachrison, Auriole Corel Rodney Fassinou, Norman Harris II, Carlos A. Camargo Jr.

“…The primary independent variable was race/ethnicity; covariates included individual age, sex, comorbidity, insurance and neighborhood density, poverty, racial/ethnic composition, education and occupation. …”
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Numerous Multi-Wave Solutions of the Time-Fractional Boussinesq-like System via a Variant of the Extended Simple Equations Method (SEsM) by Elena V. Nikolova, Mila Chilikova-Lubomirova

“…Based on the applied SEsM variant, we assume that each system variable in the studied model supports multi-wave dynamics, which involves combined propagation of two distinct waves traveling at different wave speeds. …”
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Effects of Climate and Land Use on the Population Dynamics of the Bank Vole (<i>Clethrionomys glareolus</i>) in the Southernmost Part of Its Range by Lucía de la Huerta-Schliemann, Marc Vilella, Lídia Freixas, Ignasi Torre

“…The study aims to understand how these variables influence the population dynamics and occupancy of bank voles. …”
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Explaining the Pattern of Effective Factors in Building the Capacity of Extension Experts in the Development of Smart Climate Agriculture in the Northwestern Provinces of the Count... by M. Rafiee Sefid Dashti, S.M. Mirdamadi, S.J. Farajollah Hosseini, S. Shokri

“…To investigate causal relationships between the research variables and assess the fit of the data to the conceptual model, structural equation modeling (SEM) was applied. …”
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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

“…Compared to the baseline ConvLSTM-based extrapolation model without physical variables, the models trained with the MR-DCGAN architecture achieved, on average, 18.59%, 8.76%, and 11.28% higher CSI values, 19.46%, 19.21%, and 19.18% higher POD values, and 19.85%, 11.48%, and 9.88% lower FAR values under the 20 dBZ, 30 dBZ, and 35 dBZ reflectivity thresholds, respectively. …”
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A multi-source combined operation low carbon economy dispatch considering flexible participation of nuclear power in peaking by WU Xi, CHEN Kangwen, GUO Qisheng, LIU Yichen, YUE Fuchang

“…Firstly, 0-1 variables are used to accurately linearize the flexible address to nonlinear output of nuclear power. …”
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Controls on Saturated Hydraulic Conductivity in a Degrading Permafrost Peatland Complex by Richard E. Fewster, Paul J. Morris, Graeme T. Swindles, Andy J. Baird, T. Edward Turner, Ruza F. Ivanovic

“…The multi‐site model made less skillful predictions (r2 = 0.528) than our site‐specific model, possibly due to latitudinal differences in peat compaction, floristic composition and climate. …”
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Optimizing Boride Coating Thickness on Steel Surfaces Through Machine Learning: Development, Validation, and Experimental Insights by Selim Demirci, Durmuş Özkan Şahin, Sercan Demirci, Armağan Gümüş, Mehmet Masum Tünçay

“…In this study, a comprehensive machine learning (ML) model was developed to predict and optimize boride coating thickness on steel surfaces based on boriding parameters such as temperature, time, boriding media, method, and alloy composition. …”
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Investigating the Affecting Factors of Speed Dispersion for Suburban Arterial Highways in Nanjing, China by Yongfeng Ma, Xin Gu, Jaeyoung Lee, Qiaojun Xiang

“…The results from the two models showed substantial differences. The road condition factor was not significant in the cross-sectional speed dispersion model, but was interpretive in the segmented speed dispersion model. …”
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A mejor condición física mejores resultados de una ley contra la obesidad (Better fitness, better results of a law against obesity) by Patricio Solis-Urra, Nathalia Fernández-Cueto, Rodrigo Nanjarí, Tamara Huber-Pérez, María Paz Cid-Arnes, Natalia Zurita-Corvalán, Fernando Rodriguez-Rodriguez, Carlos Cristi-Montero

“…Conclusion: Changes produced due to “Super 8” law seem to affect positively just children who have high fitness level, preventing increase of variables of body composition related to obesity. …”
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The effect of match-play on acute post-match neuromuscular fatigue following Australian Football League Women’s (AFLW) competition by Emma Wilkinson, Tannath Scott, Matthew Green, Adam Hewitt, Mitchell Naughton

“…Linear mixed models were also constructed to examine the relationship between external load variables and the change in CMJ metrics. …”
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Understanding the attitudes towards climate change in the context of trust in selected countries of Central and Eastern Europe by Zsuzsanna Deák, Gintarė Vaznonienė, Agnieszka Wojewódzka-Wiewiórska

“…Four different models are presented that differ only in terms of their dependent variables, while the independent variable (trust) and the control variables (socio-demographic variables) are the same in all the cases. …”
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Modifiable early life risk factors for dental calculus in dogs: a retrospective cross-sectional study in Finland by Manal B. M. Hemida, Sarah Holm, Mia Eklundh, Anna Hielm-Björkman

“…Multivariate logistic regression analyses using backward stepwise deletion were performed using data from 4771 dogs, including 2360 cases and 2411 controls, to examine the potential associations between DC in dogs and 29 distinct early life variables across five statistical models. The study incorporated a range of independent variables, including dietary, environmental, demographic, domestic, and immune-related factors. …”
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Silicic magmas in the Michoacán-Guanajuato Volcanic Field: an overview about plumbing systems, crustal storage and genesis processes by Giovanni Sosa-Ceballos, Mario Emmanuel Boijseauneau-López, Juan Daniel Pérez-Orozco, Gerardo Cifuentes-Nava, Xavier Bolós, Mathieu Perton, David Simón-Velázquez

“…In addition to bibliographic data, we present a gravimetric-magnetometric model to investigate the characteristics of the local basement where magmas acquire their final silicic composition, and a seismic tomography model to investigate the deep plumbing system that contribute to form the silicic rocks emplaced on the surface. …”
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Optimization-Incorporated Deep Learning Strategy to Automate L3 Slice Detection and Abdominal Segmentation in Computed Tomography by Seungheon Chae, Seongwon Chae, Tae Geon Kang, Sung Jin Kim, Ahnryul Choi

“…Evaluation of CT data from 150 prostate and bladder cancer patients showed that the optimized models reduced the slice detection error to approximately 0.68 ± 1.26 slices and achieved a Dice coefficient of up to 0.987 ± 0.001 for abdominal tissue segmentation-improvements over the models that did not consider correction design variables. …”
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MEMAKSIMALKAN KEUNTUNGAN HARIAN PADA INDUSTRI RUMAHAN “NANDA JAYA†DENGAN PENERAPAN METODE SIMPLEKS by Lukas Susanto

“…Data collection was carried out by observation and interviews. The mathematical model of the research problem is a linear program problem with three variables that can be solved by the simplex method. …”
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The influence of environmental stability and upwelling variation on copepod diversity in the Humboldt Current System off Chile by Manuela Pérez-Aragón, Reinaldo Rivera, Vera Oerder, Carolina E. González, Cristián E. Hernández, Cristián E. Hernández, Ruben Escribano, Ruben Escribano

“…This variability has major consequences for population dynamics, community composition, and ultimately diversity patterns of planktonic copepods which dominate the bulk of zooplankton biomass. …”
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Spatial environmental impact of immigration in Europe: Mediating roles of energy intensity and concentration by Ladan Ghodrati, Saeed Shouri, Masoud Shirazi

“…For this reason, a spatial panel model is employed to incorporate the geographical dependence of the studied variables. …”
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