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 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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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

“…Occupancy models, taking into account detectability, indicated stable occupancy in all regions. …”
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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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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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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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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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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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What makes equity crowdfunding successful in Japan? Testing the signaling and lack of financial literacy hypotheses by Yoshiaki Nose, Chie Hosomi

“…We begin with a probit analysis, and the Logit model is then introduced. Finally, a multiple regression analysis is run with the explained variables “fundraising rate” and “number of investors” and the hypothesized proxy variables as explanatory variables. …”
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Factors Affecting the Presence and the Diversity of Bryophytes in the Petrifying Sources Habitat (7220) in Wallonia and the Brussels-Capital Region, Belgium by J.-M. Couvreur, G. San Martin, A. Sotiaux

“…The best variables explaining the community composition are slope, NO3, NH4, and PO4. …”
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Bird communities in the Dry Chaco of South America: vegetation structure and climate effects by Romina Cardozo, Ricardo B. Machado

“…Building on a unique, field-based bird community dataset, we used multivariate analysis and generalized linear models to test the effects of climate and vegetation structure on bird composition and richness in forest corridors. …”
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The backsliding of democracy in the EU: an analysis on the perception of corruption in the Member States pre- and post-pandemic by Marta Pérez-Gabaldón, Nuria Hernández-García, Carlos González-Tormo

“…In political terms, the variables influencing to the perception of corruption the most – ideology of the government and its party composition – will be replaced, following the impact of the pandemic, by the gender of the cabinet leadership.…”
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Establishing baseline biodiversity data prior to hydroelectric dam construction to monitoring impacts to bats in the Brazilian Amazon. by Paulo Estefano D Bobrowiec, Valéria da Cunha Tavares

“…As predictors for the species distribution, we tested the variables of vegetation structure and topography. Species composition largely differed between the dry plots and the plots located in areas that will be flooded, and this was strongly associated with the variables of forest basal area and elevation. …”
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Relationship Between Lithological and Morphometric Aspects of Mascasín Saline Watershed and Its Feeder Depositional Systems, San Juan and La Rioja Provinces, Argentina by Paula Santi Malnis, Luis Martin Rothis

“…The results underscore the critical role that lithology and structural controls play in basin morphometry and emphasize the need to quantify these variables for landscape evolution models.…”
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Estado nutricional y complexión corporal en estudiantes de la Universidad Laica Eloy Alfaro de Manabí, Ecuador (Nutritional status and body complexion in students of the Laica Eloy... by Damaris Hernández-Gallardo, Ricardo Arencibia-Moreno, Telmo Johnny Hidalgo-Barreto, Javier Cachón-Zagalaz, Silvano Merced-Len, Marta Linares-Manrique

“…An observational, descriptive and cross-sectional study was conducted on 211 university students attending ULEAM. Anthropometric variables were measured from which body mass index, body frame and body composition were calculated, in accordance with a three-component model. …”
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ELEMENTS OF SPORTS GYMNASTICS AS A MEANS OF IMPROVING HEALTH‐RELATED AND SKILL‐RELATED COMPONENTS OF FITNESS by Gorana Tešanović, Sasa Jovanovic, Goran Pašić, Vladimir Jakovljević, Milinko Dabović, Goran Bošnjak

“… Creating a model of practical teaching for students is directly related to their physical fitness, which can often be a limiting factor in the successful implementation of lessons. …”
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Contextual Factors, Health History, and Daily Living Activities for Ovarian Cancer Risks: A Case-Control Study in Indonesia by Restuning Widiasih, Windy Natasha, Tosin Popoola, Katherine Nelson

“…For a more thorough analysis of ovarian cancer risk factors, more variables and a research approach that can make it easier to uncover risk factors of ovarian cancer are necessary. …”
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Machine learning analysis of CO2 and methane adsorption in tight reservoir rocks by Mehdi Maleki, Mohammad Rasool Dehghani, Moein Kafi, Ali Akbari, Yousef Kazemzadeh, Ali Ranjbar

“…Various ML models were employed to predict gas adsorption capacity, with CatBoost and Extra Trees demonstrating high predictive performance. …”
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