Indicators of Obesity and Cardiorespiratory Fitness in Croatian Children by Marko Badrić, Leona Roca, Vladan Pelemiš, Dragan Branković, Vladimir Živanović

“…The variance analysis revealed that the participants with normal body weight had significantly higher cardiorespiratory capacity values compared to overweight or obese students. Regression analysis showed statistical significance for the set of predictor variables, which were BMI indicators, on the criterion variable predicting cardiorespiratory fitness (CRF) in both genders. …”
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Clinical and Behavioral Correlates of Blood Acylcarnitine Profiles in Children with Autism Spectrum Disorder: A Cross-Sectional Analysis by Adriana Prato, Martina Randazzo, Maria Anna Messina, Giovanni Puglisi, Laura Rosy Aleo, Fiorella Ciantia, Lara Cirnigliaro, Renata Rizzo, Rita Barone

“…Thus, examining metabolic profiles may provide helpful insights to understand the variability of ASD symptoms.…”
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Vitamin B2 content determination in liver paste by using acid and acid-enzyme hydrolysis by Basić Zorica, Kilibarda Vesna, Miletić Ivanka

“…Background/Aim. Vitamin B2 is available in foodstuff in the form of coenzyme and in free form. …”
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Development of a predictive model for metachronous liver metastasis in gastric cancer by Siyuan Wang, Siyuan Wang, Gaozan Zheng, Fengsu Wu, Ye Tian, Xinyu Qiao, Xinyu Dou, Hanjun Dan, Hanjun Dan, Guangming Ren, Liaoran Niu, Pengfei Wang, Lili Duan, Yumao Yang, Jianyong Zheng, Fan Feng

“…Patients were randomly divided into training (70%, n=873) and validation (30%, n=375) datasets. The optimal cutoff values for the continuous variables were determined using the Youden index. …”
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Machine learning‐based model for worsening heart failure risk in Chinese chronic heart failure patients by Ziyi Sun, Zihan Wang, Zhangjun Yun, Xiaoning Sun, Jianguo Lin, Xiaoxiao Zhang, Qingqing Wang, Jinlong Duan, Li Huang, Lin Li, Kuiwu Yao

“…Abstract Aims This study aims to develop and validate an optimal model for predicting worsening heart failure (WHF). …”
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A MAGDM ALGORITHM FOR DECISION-MAKING PROBLEMS ON FUZZY SOFT SETS USING A COEFFICIENT CORRELATION AND AN ENTROPY MEASURE FOR DETERMINING THE WEIGHT OF PARAMETERS by Latifa Khairunnisa, Admi Nazra, Izzati Rahmi HG

“…In statistics, the correlation coefficient concept aims to show how strong the linear relationship between two variables is. …”
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Metagenomic insights into the resistome, mobilome, and virulome of dogs with diverse lifestyles by Nan Zhou, Weiye Chen, Luming Xia, Min Li, Huiping Ye, Chao Lv, Yiwen Chen, Zile Cheng, Tae-Jin Park, Pak-Leung Ho, Xin Gao, Xiaokui Guo, Hongjin Zhao, Huiluo Cao, Yongzhang Zhu

“…Using Shapley Additive Explanations (SHAP), an interpretable machine learning approach, Ligilactobacillus emerged as the most diverse genus, with significantly higher SHAP values in stray dogs, suggesting enhanced adaptability to more variable and less controlled environments. …”
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Human papillomavirus vaccination coverage among young women in the three sub-Saharan African countries using Demographic and Health Surveys data by Mulugeta Wassie, Alebachew Ferede Zegeye, Enyew Getaneh Mekonen, Berhan Tekeba, Mohammed Seid Ali, Almaz Tefera Gonete, Alemneh Tadesse Kassie, Belayneh Shetie Workneh, Tewodros Getaneh Alemu, Tadesse Tarik Tamir

“…Factors with p-values < 0.05 at 95% confidence interval were declared statistically significant. …”
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Artificial Intelligence in Inflammatory Bowel Disease Endoscopy by Sabrina Gloria Giulia Testoni, Guglielmo Albertini Petroni, Maria Laura Annunziata, Giuseppe Dell’Anna, Michele Puricelli, Claudia Delogu, Vito Annese

“…The initial experience with AI in IBDs has shown its potential value in the differentiation of UC and CD when there is no ileal involvement, reducing the significant amount of time it takes to review videos of capsule endoscopy and improving the inter- and intra-observer variability in endoscopy reports and scoring. …”
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Detecting anomalies in traffic data using a flexible semi-parametric model by Zuzana Purkrábková, Martin Langr, Pavel Hrubeš, Marek Brabec

“…The results are presented based on semantic quality control outputs for dynamic traffic variables. The semantic analysis aimed to find and label segments of time series waveforms that fell outside the expected value range at specific locations and times. …”
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Anemia Associated with Student Learning Achievement: Cross-Sectional Study by Taqwin Taqwin, Eka Purwita sari, Asrawati Asrawati, Hadriani Hadriani, Henrietta Imelda Tondong, Siti Hadijah Batjo, Sri Yanti Kusika, Niluh Nita Silfia

“…Learning achievement is associated with adolescent anemia in girls. This study aims to determine the relationship between anemia and teenage girls' learning achievement at school. …”
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Optimization of photocatalytic degradation of sulfamethoxazole from wastewater using developed N-doped TiO2/biochar by Hailu Ashebir, Saeideh Babaee, Palesa Diale, Abebe Worku, T.A.M. Msagati, Jemal Fito Nure

“…This study introduces a novel N-doped TiO2/biochar nanocomposite aimed at enhancing the photocatalytic degradation of the antibiotic sulfamethoxazole (SMZ) in pharmaceutical effluent. …”
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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

“…Traditional anthropometric measures such as body mass index (BMI) are limited in their ability to capture fat distribution and associated risk. This study aimed to develop and validate machine learning (ML) models for predicting MAFLD using detailed body composition metrics and to explore the relative contributions of adipose tissue features through explainable ML techniques.MethodsData from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used to construct predictive models based on anthropometric, demographic, lifestyle, and clinical variables. …”
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Morphological characteristics of rabbit's forearm bones graft at the stimulation of biologically active points by V. Y. Lebedinskiy, M. E. Puseva, E. S. Netyosin, I. N. Mikhaylov

“…Used index systems of estimation of regeneration processes at the healing of forearm bone fractures allow to reveal larger degree of statistical significance of obtained results not only in comparison with intact bone but also in over the time of experiment. Using quantitative variables and index estimation of regenerative processes at the healing of forearm bone fractures allow not only to objectify character of their changes but also to predict variability of its value.…”
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Endobronchial ultrasound: A novel screening test for pulmonary hypertension prior to major pulmonary surgeryCentral MessagePerspective by Nathaniel Deboever, MD, MSc, George A. Eapen, MD, Roberto F. Casal, MD, Jean-Bernard Durand, MD, Michael A. Eisenberg, MD, Hope Feldman, MD, MSc, Celestino May, MD, MAEd, Zohra Ali, APRN, MSc, David C. Rice, MB, BCh, Reza J. Mehran, MDCM, MSc

“…All patients had also a RHC (gold standard). We aimed to compare the pulmonary artery pressure measurements by EBUS with the RHC values. …”
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Age differences in the association of prognostic nutritional index quartiles and heart failure in US adults: the NHANES 2011–2018 by Jianlong Zhou, Jianlong Zhou, Yadi Li, Lv Zhu, Rensong Yue, Rensong Yue

“…The ROC curve showed that PNI had a high diagnostic value for HF with an AUC value of 0.642.ConclusionsThe higher PNI is significantly associated with a lower prevalence of HF, particularly in the nonelderly population (20–59 years). …”
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Immunohistochemical parameters of serous ovarian carcinomas and possible mechanism of development of resistance to platinum-based drugs by G. V. Zhukova, E. P. Ulyanova, A. P. Menshenina, T. I. Moiseenko, E. Yu. Zlatnik, E. M. Nepomnyashchaya, A. B. Sagakyants, E. V. Verenikina

“…Moreover, in 40 % of cases or more, there was a coincidence in the ranges of values of the studied parameters in tumors with different sensitivity to platinum drugs. …”
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Association of Radiographic Soft Tissue Thickness with Revision Total Ankle Arthroplasty Following Primary Total Ankle Arthroplasty: A Minimum of 5-year Follow-up by Kevin Wu BS, Albert T. Anastasio MD, Alexandra Krez MD, Katherine Kutzer BS, James K. DeOrio MD, Mark E. Easley MD, James A. Nunley MD, Samuel B. Adams MD

“…Radiographic soft-tissue thickness has been explored as a potential predictor for outcomes in hip, knee, and shoulder arthroplasty, but its role in TAA has not been assessed. This study aimed to assess the predictive value of radiographic soft tissue thickness for identifying patients at risk of requiring revision surgery following primary TAA. …”
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The interplay of body mass index, gestational weight gain, and birthweight over 3800 g in vaginal breech birth: A retrospective study by Henriette Tautenhahn, Anne Dathan‐Stumpf, Noura Kabbani, Holger Stepan, Massimiliano Lia

“…We analyzed the effect of the maternal body mass index (BMI) at birth (compared to pre‐pregnancy BMI), excessive weight gain, gestational diabetes, and neonatal birthweight on obstetrical and neonatal short‐term outcomes (intrapartum cesarean delivery, performance of obstetric maneuvers (Løvset‐, Bracht‐, Veit‐Smellie maneuver and Bickenbach's arm delivery), admission to the neonatal unit, Apgar score after 5 minutes <7, and arterial cord pH‐value <7.10). Multivariable logistic regression was used for analysis and adjustment of variables. …”
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Fast TILs—A pipeline for efficient TILs estimation in non-small cell lung cancer by Nikita Shvetsov, Anders Sildnes, Masoud Tafavvoghi, Lill-Tove Rasmussen Busund, Stig Manfred Dalen, Kajsa Møllersen, Lars Ailo Bongo, Thomas Karsten Kilvær

“…However, manual TIL quantification in hematoxylin and eosin (H&E) whole slide images (WSIs) is laborious and prone to variability. To address this, we aim to develop and validate an automated computational pipeline for the quantification of TILs in WSIs of NSCLC. …”
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