Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019 by Jenberu Mekurianew Kelkay, Deje Sendek Anteneh, Henok Dessie Wubneh, Abraham Dessie Gessesse, Gebeyehu Fassil Gebeyehu, Kalkidan Kassahun Aweke, Mikiyas Birhanu Ejigu, Mathias Amare Sendeku, Kirubel Adrissie Barkneh, Hasset Girma Demissie, Wubshet D. Negash, Birku Getie Mihret

“…Data have been extracted and processed with Stata version 17. The dataset was then imported into a Jupyter notebook for further detailed analysis and visualization. …”
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The Relationship between Homocysteine Levels, MTHFR C677T and A1298C Polymorphism, and Pregnancy Outcomes in Georgian Women with Polycystic Ovary Syndrome: A Case-Control Study by Elene Asanidze, Zurab R. Tsetskhladze, Jenaro Kristesashvili, Marina Pirtskhalava, Manana Urjumelashvili, Shorena Tchiokadze, Malkhaz Vakhania, Nino Parunashvili, Aleksandre Asanidze

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Understanding Health-Related Discussions on Reddit: Development of a Topic Assignment Method and Exploratory Analysis by Garrett J Chan, Mark Fung, Jill Warrington, Sarah A Nowak

“…Topic assignment was then performed on the entire 1-year Reddit dataset containing 347,130 posts. Related topics were grouped into broader medical disciplines. …”
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Using Statistical Analysis to Assess Urban Groundwater in Beni Mellal City (Morocco) by Mohamed El Baghdadi, Radouane Medah, Amal Jouider

“…For most of the trace elements, the measured concentrations were far below the standard values except Al and Fe in some samples which exceed all guideline values. PCA of all dataset highlights eight factors with eigenvalues higher than 1 that explained about 80.34% of the total variance. …”
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Anti-TROVE2 Antibody Determined by Immune-Related Array May Serve as a Predictive Marker for Adalimumab Immunogenicity and Effectiveness in RA by Po-Ku Chen, Joung-Liang Lan, Yi-Ming Chen, Hsin-Hua Chen, Shih-Hsin Chang, Chia-Min Chung, Nurul H. Rutt, Ti-Myen Tan, Raja Nurashirin Raja Mamat, Nur Diana Anuar, Jonathan M. Blackburn, Der-Yuan Chen

“…Analysis of Cohort-2 dataset identified a panel of 8 biomarkers (TROVE2, SSB, NDE1, ZHX2, SH3GL1, CARD9, PTPN20, and KLHL12) with 80.6% specificity, 77.4% sensitivity, and 79.0% accuracy in discriminating poor from EULAR responders. …”
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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI by Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón

“…Unlike current tools that operate at standard resolution (1 mm3) or using mono-modal data, the proposed method improves cerebellum lobule segmentation through the use of a multimodal and ultra-high resolution (0.125 mm3) training dataset. To develop the method, first, a database of semi-automatically labelled cerebellum lobules was created to train the proposed method with ultra-high resolution T1 and T2 MR images. …”
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Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity by Xiaochen Tang, Yanyan Wei, Jiaoyan Pang, Lihua Xu, Huiru Cui, Xu Liu, Yegang Hu, Mingliang Ju, Yingying Tang, Bin Long, Wei Liu, Min Su, Tianhong Zhang, Jijun Wang

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Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study by Rongxue Shan, Chenhao Pei, Qianrui Fan, Junchuan Liu, Dawei Wang, Shifeng Yang, Ximing Wang

“…Purpose To evaluate the detection performance of an artificial intelligence (AI)-assisted platform for HCC by the external validation dataset. Methods CT images pathologically diagnosed with HCC from December 2021 to June 2023 were retrospectively analyzed to evaluate the detection ability of the AI-assisted platform. …”
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Predictive Analysis of Structural Damage in Submerged Structures: A Case Study Approach Using Machine Learning by Alexandre Brás dos Santos, Hugo Mesquita Vasconcelos, Tiago M. R. M. Domingues, Pedro J. S. C. P. Sousa, Susana Dias, Rogério F. F. Lopes, Marco L. P. Parente, Mário Tomé, Adélio M. S. Cavadas, Pedro M. G. P. Moreira

“…The ML model uses wave parameters such as height, period and direction as input layers, which describe the ocean conditions, and strains in selected points of the lander structure as output layers. To streamline the dataset generation, a simplified approach was adopted, integrating analytical formulations based on Morison equations and numerical simulations through the Finite Element Method (FEM) of the designed lander. …”
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Determinants and impact of calcium oxalate crystal deposition on renal outcomes in acute kidney injury patients by Weiwei Yang, Tao Zhao, Xuejing Chen, Suxia Wang, Yu Wang, Tao Su

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Contrasting spatial variations between above and below-ground net primary productivity in global grasslands by Ying Hu, Yue Yang, Yu Wei, Xiaozhen Li, Yue Jiao, Jiapei Liao, Ruiyu Fu, Lichong Dai, Zhongmin Hu

“…This study compiled a dataset of 4194 field site measurements of NPP, ANPP and BNPP from 1940 to 2019, as well as climate, soil, geographic, and vegetation index data, to quantify the global patterns and potential mechanisms of the NPP and its components. …”
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A multi-layer neural network-based evaluation of MHD radiative heat transfer in Eyring–Powell fluid model by Muflih Alhazmi, Zahoor Shah, Muhammad Asif Zahoor Raja, Nafisa A. Albasheir, Maryam Jawaid

“…To facilitate analysis, governing partial differential equations (PDEs) are converted into ordinary differential equations (ODEs) only with the aid of similarity transformations. From there, a dataset is created and later trained, tested, and validated by the MNNs-BRP model for efficient estimating of fluid models. …”
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Genomic and Pathogenic Characteristics of Virulent Newcastle Disease Virus Isolated from Chicken in Live Bird Markets and Backyard Flocks in Kenya by Irene N. Ogali, Paul O. Okumu, Erick O. Mungube, Jacqueline K. Lichoti, Stephen Ogada, Grace K. Moraa, Bernard R. Agwanda, Sheila C. Ommeh

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Optical properties of repaired additively manufactured resin composites and zirconia and subtractively manufactured ceramics: a comparative study of composite resins by Esma Çağlayan, Rafat Sasany, Burcu Naz Bolat, Didar Hartavi, Oyun-Erdene Batgerel, Sultan Merve Ucar, Dilara Gülhan Umurca

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Multi-omics reveals that ST6GAL1 promotes colorectal cancer progression through LGALS3BP sialylation by Yuanchao Shi, Zhenzhong Pan, Jingwei Duan, Zexing Wang, Yiliang Fang, Bo Tang, Quanlin Guan

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Vitamin D Status and VDR Genotype in NF1 Patients: A Case-Control Study from Southern Brazil by Larissa Souza Mario Bueno, Clévia Rosset, Ernestina Aguiar, Fernando de Souza Pereira, Patrícia Izetti Ribeiro, Rosana Scalco, Camila Matzenbacher Bittar, Cristina Brinckmann Oliveira Netto, Guilherme Gischkow Rucatti, José Artur Chies, Suzi Alves Camey, Patricia Ashton-Prolla

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Effect of Acupuncture Stimulation of Hegu (LI4) and Taichong (LR3) on the Resting-State Networks in Alzheimer’s Disease: Beyond the Default Mode Network by Shaozhen Ji, Hao Zhang, Wen Qin, Ming Liu, Weimin Zheng, Ying Han, Haiqing Song, Kuncheng Li, Jie Lu, Zhiqun Wang

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Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery by Charles J Abolt, Javier E Santos, Adam L Atchley, Lucas Wells, Daithi Martin, Russell A Parsons, Rodman R Linn

“…With modest additions to the training dataset, the same model generates minimally biased estimates of canopy height in both conifer and deciduous forests during multiple seasons. …”
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Future risk of falls induced by ankle-foot sprains history: An observational and mendelian randomization study by Xiao'ao Xue, Weichu Tao, Qianru Li, Yi Li, Yiran Wang, Le Yu, Xicheng Gu, Tian Xia, Rong Lu, Ru Wang, He Wang, Yinghui Hua

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Novel models based on machine learning to predict the prognosis of metaplastic breast cancer by Yinghui Zhang, Wenxin An, Cong Wang, Xiaolei Liu, Qihong Zhang, Yue Zhang, Shaoqiang Cheng

“…Furthermore, the CatBoost model maintains strong performance in an external independent dataset, with AUC values of 0.937 for 1-year survival, 0.907 for 3-year survival, and 0.890 for 5-year survival, respectively. …”
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