Genome-Wide Association Study on Imputed Genotypes of 180 Eurasian Soybean <i>Glycine max</i> Varieties for Oil and Protein Contents in Seeds by Nadezhda A. Potapova, Irina V. Zorkoltseva, Alexander S. Zlobin, Andrey B. Shcherban, Anna V. Fedyaeva, Elena A. Salina, Gulnara R. Svishcheva, Tatiana I. Aksenovich, Yakov A. Tsepilov

“…In this study, we conducted a genome-wide association study (GWAS) to identify genetic loci linked to oil and protein content in seeds, using imputed genotype data for 180 Eurasian soybean varieties and the novel “genotypic twins” approach. This dataset encompassed 87 Russian and European cultivars and 93 breeding lines from Western Siberia. …”
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Enhancing Arabic text-to-speech synthesis for emotional expression in visually impaired individuals using the artificial hummingbird and hybrid deep learning model by Mahmoud M. Selim, Mohammed S. Assiri

“…The AMCDD-AHODL approach is examined using the Modern Standard Arabic dataset containing 1229 records. The performance validation of the AMCDD-AHODL approach portrayed a superior accuracy value of 95.80 % compared to the existing ML and DL models. …”
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A Novel Convolutional Neural Network-Based Approach for Fault Classification in Photovoltaic Arrays by Farkhanda Aziz, Azhar Ul Haq, Shahzor Ahmad, Yousef Mahmoud, Marium Jalal, Usman Ali

“…We generate a consistent dataset over which to compare ours and previous approaches, to make for the first (to the best of our knowledge) comprehensive and meaningful comparative evaluation of fault diagnosis. …”
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Comparison of various feed additives on nutrient digestibility, digestive enzyme activity, blood metabolite levels, and gut microbiota composition in japanese quail chicks by Hassan Saleh, Omid Jangjou, Mohammad Taher Mirakzehi, Seyedeh Hamideh Hosseni

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Assessment of WRF Land Surface Model Performance over West Africa by Ifeanyi C. Achugbu, Jimy Dudhia, Ayorinde A. Olufayo, Ifeoluwa A. Balogun, Elijah A. Adefisan, Imoleayo E. Gbode

“…The model precipitation was assessed against TRMM while surface temperature was compared with the ERA-Interim reanalysis dataset. Results show that the LSMs performed differently for different variables in different land-surface conditions. …”
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Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study by Yunzhen Ye, Yu Xiong, Qiongjie Zhou, Jiangnan Wu, Xiaotian Li, Xirong Xiao

“…Results. In the validation dataset, the machine learning and logistic regression models performed moderately (AUC 0.59-0.74). …”
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Chronic lower back pain among occupational workers: effect of relaxation technique on quality of working life, pain and disability level with nurse-led intervention by Nabila ELSayed Sabola, Kamal Wifaq, Musaad M. Alruwaili, Rasha Kamal Mohamed Sweelam, Sabah Hassan El-Amrosy, Amal Yousef Abdelwahed

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Approaches to implementing and financing primary health care in Kenya: a case of seven counties by Janette Karimi, Salim Hussien, Elizabeth Wangia, Mercy-Irene Kimani, Mohamud Mohamed, Melissa Wanda, Rosemarie Muganda, Rachel Ndirangu, Daniel Mwai, Mercy Wanjala, Fadhila Richter

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Sex differences in cardiorespiratory control under hypoxia: the roles of oxygen desaturation and hypoxic exposure time by André Luiz Musmanno Branco Oliveira, Gabriel Dias Rodrigues, Gabriel Dias Rodrigues, Bruno Moreira Silva, Philippe de Azeredo Rohan, Pedro Paulo da Silva Soares

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Serum Antidiuretic Hormone Level in Nocturnal Enuretic School Children in a Tertiary Care Hospital in Bangladesh: A Cross‐Sectional Study by Jannatul Fardous, Anjuman Ara, Md. Iqbal Hossain, Asma Labony, Tanjila Afrin, Rezwana Ashraf, Reaz Uddin, Habiba Jesmin, Md. Kabir Alam, Mohammad Ashraful Amin, Anwar Hossain Khan, Zahid Hasan Khan

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A Study on the Infrageneric Classification of <i>Hordeum</i> Using Multiple Methods: Based on Morphological Data by Nayoung Ro, Pilmo Sung, Mesfin Haile, Hyemyeong Yoon, Dong-Su Yu, Ho-Cheol Ko, Gyu-Taek Cho, Hee-Jong Woo, Nam-Jin Chung

“…This study aims to improve the infrageneric classification of <i>Hordeum</i> by integrating multiple analytical approaches based on morphological data. A comprehensive dataset of key morphological traits was compiled from a wide range of <i>Hordeum</i> accessions, including representatives from all major taxonomic groups within the genus. …”
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Circulating Levels of Betatrophin and Irisin Are Not Associated with Pancreatic β-Cell Function in Previously Diagnosed Type 2 Diabetes Mellitus Patients by Lingshu Wang, Jun Song, Chuan Wang, Peng Lin, Kai Liang, Yu Sun, Tianyi He, Wenjuan Li, Ruxing Zhao, Jun Qin, Yiran Lu, Jinbo Liu, Fuqiang Liu, Xinguo Hou, Li Chen

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Decreased Spp1 Expression in Acute Myocardial Infarction after Ischemia and Reperfusion Injury by Ling Li, Jungang Huang, Zongkai Zhao, Zhuzhi Wen, Kang Li, Tianjiao Ma, Lisui Zhang, Junmeng Zheng, Shi Liang

“…We used the GSE83472 dataset from the Gene Expression Omnibus (GEO) database to find differential RNA expression between ischemia-reperfusion tissue and control samples. …”
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Evaluating the feasibility of AI-predicted bpMRI image features for predicting prostate cancer aggressiveness: a multi-center study by Kexin Wang, Ning Luo, Zhaonan Sun, Xiangpeng Zhao, Lilan She, Zhangli Xing, Yuntian Chen, Chunlei He, Pengsheng Wu, Xiangpeng Wang, ZiXuan Kong

“…The model has good universality when tested on multiple external datasets. Graphical Abstract…”
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On Your Mark, Get Set, Choose! A Randomized Cross-Over Study Comparing Fixed and Self-Selected Rest Periods in Interval Running Among Professional Female Soccer Players by Asaf Ben-Ari, Yedidya Silverman, Uri Obolski, Israel Halperin

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Diffusion MRI-based analysis of functional alterations of the glymphatic system in children with non-lesional epilepsy by Bixia Wu, Gengbiao Zhang, Yanting Wang, Hongyi Zheng, Hui Tan, Wenbin Zheng

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Scaling of fractured rock flow. Proposition of indicators for selection of DFN based flow models by Davy, Philippe, Le Goc, Romain, Darcel, Caroline, Selroos, Jan-Olof

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Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk? by Lasse Mausehund, Anri Patron, Sami Äyrämö, Sami Äyrämö, Tron Krosshaug

“…Cluster analysis of cutting technique, using a K-means algorithm, did not prove to be a valuable approach for assessing ACL injury risk in this dataset.…”
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Newly identified single-nucleotide polymorphism associated with the transition from nonalcoholic fatty liver disease to liver fibrosis: results from a nested case-control study in... by Yitong Ling, Yu Xuan Yang, Yan Chun Chen, Jing Hao Wang, Dong Ge Feng, Shi Jian Xiang, Xiaoyu Zhang, Jun Lyu, Sha Sha Li

“…The present study was conducted to explore how single-nucleotide polymorphism (SNP) impacts the development of fibrosis in those suffering from NAFLD.Materials and methods Utilizing the UK Biobank dataset, we conducted a nested case-control analysis among NAFLD participants, defining the case group as those with liver fibrosis and cirrhosis during follow-up. …”
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Circular RNA encoded by PPARG in the peripheral blood and a lipopolysaccharide-induced cardiomyocyte inflammation model is identified as a marker of fulminant myocarditis by Shasha Huang, Shumin He, Fei Xiao, Yang Zhou, Su Lyu

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