Characterization of brown carbon absorption in different European environments through source contribution analysis by H. Navarro-Barboza, J. Rovira, V. Obiso, A. Pozzer, A. Pozzer, M. Via, A. Alastuey, X. Querol, N. Perez, M. Savadkoohi, M. Savadkoohi, G. Chen, J. Yus-Díez, M. Ivancic, M. Rigler, K. Eleftheriadis, S. Vratolis, O. Zografou, M. Gini, B. Chazeau, B. Chazeau, N. Marchand, A. S. H. Prevot, K. Dallenbach, M. Ehn, K. Luoma, K. Luoma, T. Petäjä, A. Tobler, J. Necki, M. Aurela, H. Timonen, J. Niemi, O. Favez, J.-E. Petit, J.-P. Putaud, C. Hueglin, N. Pascal, A. Chauvigné, S. Conil, M. Pandolfi, O. Jorba

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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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Exploratory analysis of the potential disconnect between objective inflammatory response and clinical response following certolizumab pegol treatment in patients with active axial... by Filip van den Bosch, Martin Rudwaleit, Helena Marzo-Ortega, Natasha de Peyrecave, Victoria Navarro-Compán, Lars Bauer, Rachel Tham, Thomas Kumke, Mindy Kim

“…Data from two independent readers over four MRI reading campaigns were pooled using a mixed model with repeated measures for each variable.Results 136 patients (radiographic axSpA [r-axSpA]: 76; non-radiographic axSpA [nr-axSpA]: 60) were included. …”
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Od štylistických reflexií K. Hausenblasa k reflexiám o inkluzívnosti štýlu a štylistiky pre societu digitálnej éry by Oľga Orgoňová, Alena Bohunická

“…Hausenblas’s ideas about expression style and the variability of its forms with the use of the “offer” of the whole national language are consistent with our ideas about the communicative style of the 21st century as a mode of flexible verbal and nonverbal, culturally and contextually anchored behaviour. …”
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Numerical simulation of plant root system stress response to coal mining disturbances in semiarid mining areas by Ying LIU, Weihao PEI, Yong GUO, Xiaoyang CHEN, Shaogang LEI, Dongjiang PAN, Chuangang GONG, Huiling TAO, Hang CHEN

“…By controlling variables, the model simulates the macroscopic mechanical disturbance characteristics of the plant-soil composite unit and root system under different mining conditions, root-soil layer mechanical properties, and root density and diameter. …”
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Retrospective cohort study of the association between maternal employment precarity and infant low birth weight in women in the USA by Anjum Hajat, Divya Patil, Daniel A Enquobahrie, Trevor Peckham, Noah Seixas

“…We assessed effect modification by maternal race/ethnicity using a composite exposure-race variable.Results Women with high employment precarity had higher risk of a LBW delivery compared with women with low employment precarity (RR: 1.48, 95% CI: 1.11 to 1.98). …”
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Heterogeneity of Biofilm Formation Among <i>Staphylococcus aureus</i> and Coagulase-Negative <i>Staphylococcus</i> Species in Clinically Relevant Intravenous Fat Emulsions by Gustavo R. Alvira-Arill, Oscar R. Herrera, Jeremy S. Stultz, Brian M. Peters

“…<b>Conclusions</b>: These results suggest that biofilm formation in <i>S. aureus</i> is variably impacted by fatty acid composition in clinically relevant IFEs, with capric acid exhibiting bactericidal activity against tested isolates.…”
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Personal, occupational and cardiovascular risk factors associated with elevated blood pressure in Brazilian firefighters: a cross-sectional study by Eliana Zandonade, Fernanda Camargo Damacena, Karla Nívea Sampaio, Igor Magalhães Sales

“…Objective Our study evaluated the prevalence of hypertension in a population of Brazilian firefighters and the association of elevated blood pressure (BP) with personal, occupational, and cardiovascular risk factors.Design This was a cross-sectional study.Setting Our study was based on health inspections of the Military Fire Brigade of the Espírito Santo State, Brazil, performed in 2019.Participants The study participants were 859 male Brazilian firefighters.Outcome measures Data collected included sociodemographic (age, ethnicity, educational level, health insurance coverage), occupational (city of work, type of current activity, main operational activity), lifestyle (smoking and alcohol consumption), and health status (fasting glucose, total cholesterol and triglycerides, blood pressure, and anthropometric composition). All firefighters in the pre-hypertension and hypertension range and/or using antihypertensive medication were considered as having BP above normal, and the association of this outcome with sociodemographic, occupational, lifestyle, and health status variables was analysed by a logistic regression model.Results We found that 45.6% of firefighters presented elevated BP levels. …”
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Characterization of biocomposite films made from carboxymethyl cellulose, okra mucilage, and black cumin seed (Nigella sativa) oil by Response Surface Methodology by Fariba Shekar, Afshin Javadi, Sodeif Azadmard-Damirchi, hamed hamishehkar

“…Statistical analysis showed that all variables significantly contribute to the model (p < 0.05). …”
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Investigation of the Boundary Value Problem for an Extended System of Stationary Nernst–Planck–Poisson Equations in the Diffusion Layer by Evgenia Kirillova, Natalia Chubyr, Roman Nazarov, Anna Kovalenko, Makhamet Urtenov

“…Dimensionless variables were introduced using characteristic parameter values. …”
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Gait speed in older adults: exploring the impact of functional, physical and social factors by Naiara Virto, Xabier Río, Iker Muñoz-Pérez, Amaia Méndez-Zorrilla, Begoña García-Zapirain

“…To assess physical function, SPPB tests (chair stand test, balance tests, gait speed test), manual grip strength, muscle quality index, and power were conducted, in addition to measuring body composition and socioeconomic status. Results: The final regression model showed that gait speed was significantly partially explained (R2=0.35; p<0.01) by the socioeconomic environment, age, balance, and relative power. …”
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Anti-aging effect of mustard and flax seed oils based nanoemulsion gel on aged rat skin through antioxidant and anti-inflammatory activity by Soha Ismail, Omar A. Ahmed-Farid, Ghada Farouk Metwally, Dina Mansour, Abeer Khattab

“…N-hexane was used to extract the oils of black mustard and flax seed from their seeds, and the oils' fatty acid composition was then determined. A full factorial design was created to assess the impact of three variables: oil type, oil concentration, and S:Cos ratio, on various responses: globule size, zeta potential, and emulsification time of the self-nanoemulsifying system. …”
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Preparation and hot compression deformation of biomedical Ni-Ti alloy by WANG Zhen, XU Xiao-wen, WANG Kuai-she, WANG Wen

“…To analyze the relationship between variables in the hot deformation process of as-cast Ni-Ti alloy, a constitutive equation based on dynamic material model was established. …”
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AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…Statistical validation demonstrated the model's stability and reliability, evidenced by a notably low standard deviation (SD = 2.15 × 10⁻⁵), indicating minimal variability in predictions. …”
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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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Grain Seed Treatment by a Low-Frequency Electromagnetic Field by A. S. Dorokhov, M. E. Chaplygin, A. G. Aksenov, L. S. Shibryaeva, N. D. Blinov, A. S. Chulkov, A. V. Podzorov

“…(Research purpose) The study aims to investigate the influence of low-frequency electromagnetic field on the composition and properties of grain seeds. (Materials and methods) Standard emitters, characterized by a magnetic induction variability of 3-75 millitesla and a radiation frequency of 1-100 Hertz, were employed to ensure the necessary treatment parameters for a batch of seeds. …”
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Optimization of clayey soil parameters with aeolian sand through response surface methodology and a desirability function by Ghania Boukhatem, Messaouda Bencheikh, Mohammed Benzerara, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy, Souhila Rehab-Bekkouche, R. Shanmugam

“…Additionally, the Cc and Cs decreased by 16.15 and 54.45%, respectively, which reduced the sensitivity of the soil to volume changes. Mathematical models are developed and statistically validated using the clay and aeolian sand contents as predictive variables, while key parameters such as the maximum dry density (MDD), cohesion (C), internal friction angle (ϕ), compressibility coefficient (Cc), and swelling coefficient (Cs) serve as response metrics. …”
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Biofuel Production in Oleic Acid Hydrodeoxygenation Utilizing a Ni/Tire Rubber Carbon Catalyst and Predicting of n-Alkanes with Box–Behnken and Artificial Neural Networks by Luis A. Sánchez-Olmos, Manuel Sánchez-Cárdenas, Fernando Trejo, Martín Montes Rivera, Ernesto Olvera-Gonzalez, Benito Alexis Hernández Guerrero

“…We developed a dataset with pressure, temperature, metal content, reaction time, and catalyst composition variables as inputs. The output variables are the n-C₁₇ and n-C₁₈ alkanes obtained. …”
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