Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

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Characterizing the microstructural transition at the gray matter-white matter interface: Implementation and demonstration of age-associated differences by Joan Y Song, Roman Fleysher, Kenny Ye, Mimi Kim, Molly E Zimmerman, Richard B Lipton, Michael L Lipton

“…We identified statistically significant associations of FA slope with age in all regions (p < 0.002 for all analyses), with FA slope magnitude inversely associated with higher age. …”
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Harnessing genomic and bioinformatic data to broaden understanding of leukaemia across continents by Gumelar Gugun, Ulfa Mia Maria, Amukti Danang Prasetyaning, Irham Lalu Muhammad, Yuliani Sapto, Adikusuma Wirawan, Khairi Sabiah, Darmawi Darmawi, Chong Rockie, Ates Ilker, Singh Dilpreet, Chavan Aditya Ashok

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Plasma YKL-40 Elevation on Admission and Follow-Up Is Associated with Diastolic Dysfunction and Mortality in Patients with Acute Myocardial Infarction by Selcuk Pala, Munevver Sari, Gokhan Kahveci, Elnur Alizade, Ugur Arslantas, Abdulkadir Uslu

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Computed Tomography Analysis of Postsurgery Femoral Component Rotation Based on a Force Sensing Device Method versus Hypothetical Rotational Alignment Based on Anatomical Landmark... by Stefan W. Kreuzer, Amir Pourmoghaddam, Kevin J. Leffers, Clint W. Johnson, Marius Dettmer

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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…The study will provide scholars and professionals with a holistic view of the current state of studies, opportunities and associated risks on this topic, and pathways for future research in this emerging and promising field. …”
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OPTIMIZING POWER SECTOR TRANSITION PATHWAYS IN RENEWABLE ENERGY-SCARCE REGIONS: AN OPERATIONAL RESEARCH APPROACH TO HUNAN PROVINCE UNDER CARBON PEAK GOALS by Caixia Yang, Yao Xiao, Buncha Wattana

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Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder by Marina Ivanova, Ksenia Germanova, Dmitry S. Petelin, Aynur Ragimova, Grigory Kopytin, Beatrice A. Volel, Vadim V. Nikulin, Maria Herrojo Ruiz

“…Alterations in frequency-domain amplitude and functional connectivity within the PFC, OFC, and ACC during belief updating underlie the computational effects and could serve as potential indicators for predicting relapse in future research.…”
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The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season by Claire M. Murphy, Daniel L. Weller, Tanzy M. T. Love, Michelle D. Danyluk, Laura K. Strawn

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scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics by Vishakha Gautam, Subhadeep Duari, Saveena Solanki, Mudit Gupta, Aayushi Mittal, Sakshi Arora, Anmol Aggarwal, Anmol Kumar Sharma, Sarthak Tyagi, Rathod Kunal Pankajbhai, Arushi Sharma, Sonam Chauhan, Shiva Satija, Suvendu Kumar, Sanjay Kumar Mohanty, Juhi Tayal, Nilesh Kumar Dixit, Debarka Sengupta, Anurag Mehta, Gaurav Ahuja

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THE SNP-MED SYSTEM FOR ANALYSIS OF THE EFFECT OF SINGLE-NUCLEOTIDE POLYMORPHISMS ON THE FUNCTION OF GENES ASSOCIATED WITH SOCIALLY SIGNIFICANT DISEASES by N. L. Podkolodnyy, D. A. Afonnikov, Yu. Yu. Vaskin, L. O. Bryzgalov, V. A. Ivanisenko, P. S. Demenkov, M. P. Ponomarenko, D. A. Rasskazov, K. V. Gunbin, I. V. Protsyuk, I. Yu. Shutov, P. N. Leontyev, M. Yu. Fursov, N. P. Bondar, E. V. Antontseva, T. I. Merkulova, N. A. Kolchanov

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Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach by Nadezhda Yu. Biziukova, Sergey M. Ivanov, Olga A. Tarasova

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Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms by Amir Hossein Azadnia, Shahrooz Taheri, Pezhman Ghadimi, Muhamad Zameri Mat Saman, Kuan Yew Wong

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Genetic analysis of scab disease resistance in common bean (Phaseolus vulgaris) varieties using GWAS and functional genomics approaches by Shadrack Odikara Oriama, Benard W. Kulohoma, Evans Nyaboga, Y. O. Masheti, Reuben Otsyula

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Association between the exposure to brominated flame retardants and psoriasis risk among U.S. adults: A population-based study by Jingbo Zhang, Xiangyun Shi, Genlong Bai, Jin Chen, Yidian Fu, Aijun Chen

“…Multivariable logistic regression, restricted cubic splines (RCS), weighted quantile sum (WQS) regression, quantile-based g computation (Qgcomp) regression, and Bayesian kernel machine regression (BKMR) models were performed to estimate the associations. …”
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Urinary phthalate metabolites associated with increased prevalence of gallstone disease in U.S. adults: data from the NHANES study by Feng Jia, Yu Chang, Yuguang Li, Fangqi Li, Xinqiao Chen, Xiangliang Liu, Wei Li, Jiuwei Cui

“…Multivariable logistic regression model was to assess individual exposure-effect associations. Weighted quantile sum (WQS) regression, Quantile g-computation (Qgcomp) analysis and Bayesian kernel machine regression (BKMR) assessed metabolite mixtures in relation to gallstones. …”
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Meckel’s Diverticulum Diagnosed by Balloon-Assisted Enteroscopy: A Multicenter Report from the Taiwan Association for the Study of Small Intestinal Diseases (TASSID) by Jen-Wei Chou, Chen-Shuan Chung, Tien-Yu Huang, Chia-Hung Tu, Chen-Wang Chang, Chung-Hsin Chang, Yen-Po Wang, Wen-Hung Hsu, Hsu-Heng Yen, Chia-Jung Kuo, Chiao-Hsiung Chuang, Ching-Pin Lin, Tzung-Jiun Tsai, Ming-Yao Su, Horng-Yuan Wang, Deng-Chyang Wu, Cheng-Tang Chiu

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Presenting the professional thinking model of employees based on the dimensions of ambivalence and psychological empowermen by Abdolmajid Kord, Mansur Garkaz, Alireza Maetoofi, Ali khuzin, Alireza Hasan Maleki

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Negative valuation of ambiguous feedback may predict near-term risk for suicide attempt in Veterans at high risk for suicide by Catherine E. Myers, Catherine E. Myers, Rokas Perskaudas, Rokas Perskaudas, Vibha Reddy, Chintan V. Dave, Chintan V. Dave, John G. Keilp, Arlene King, Kailyn Rodriguez, Kailyn Rodriguez, Lauren St. Hill, Rachael Miller, Alejandro Interian, Alejandro Interian

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Monitoring poultry social dynamics using colored tags: Avian visual perception, behavioral effects, and artificial intelligence precision by Florencia B. Rossi, Nicola Rossi, Gabriel Orso, Lucas Barberis, Raul H. Marin, Jackelyn M. Kembro

“…Artificial intelligence (AI) in animal behavior and welfare research is on the rise. AI can detect behaviors and localize animals in video recordings, thus it is a valuable tool for studying social dynamics. …”
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