Iron and folic acid supplementation compliance during pregnancy and its effect on post-pregnancy anaemia among reproductive-age women in East Africa by Melaku Tadege Engidaw, Patricia Lee, Faruk Ahmed

“…Methods: This study used data from 43,200 reproductive-age women from 2015 to 2022 demographic and health survey datasets. We used multilevel mixed-effect logistic regression analysis to identify associated factors with IFA supplementation compliance during pregnancy. …”
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Data-driven multi-fault detection in pipelines utilizing frequency response function and artificial neural networks by Hussein A. M. Hussein, Sharafiz B. Abdul Rahim, Faizal B. Mustapha, Prajindra S. Krishnan, Nawal Aswan B. Abdul Jalil

“…The proposed methodology demonstrated exceptional performance, with the ANN model achieving consistently high overall accuracy (above 99.7%) and remarkably low mean squared error (in the range of 0.0088 × 10−3 to 0.3062 × 10−3) across multiple iterations and sensor datasets. The detailed class-specific metrics, including accuracy, precision, sensitivity, and F1-score, further substantiated the model’s effectiveness in identifying the individual fault types with near-perfect or perfect results for the majority of the fault scenarios. …”
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Pursuing healthy homeownership: an evaluation of the neighborhood health trajectories of shared equity homeowners by Geoffrey M. Gusoff, Alex Ramiller, Arthur Acolin, Ruoniu Wang, Frederick J. Zimmerman

“…All data on neighborhood characteristics were obtained from publicly available, census tract-level datasets. Results Compared to households entering traditional homeownership, households entering shared equity homeownership experienced a relative increase in walkability (difference-in-differences 1.07, p = 0.004), increase in food access (0.13, p < 0.001), increase in socio-economic vulnerability (0.06, p = 0.02), and similar life expectancy. …”
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Challenges and opportunities for assessing trends of amphibians with heterogeneous data – a call for better metadata reporting by Klaus Henle, Reinhard A. Klenke, M. Benjamin Barth, Annegret Grimm-Seyfarth, Diana E. Bowler

“…Instead, there are many heterogeneous datasets that contain observations of amphibians from professional surveys as well as diverse citizen science and other voluntary surveys. …”
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Correction of CAMS PM₁₀ Reanalysis Improves AI-Based Dust Event Forecast by Ron Sarafian, Sagi Nathan, Dori Nissenbaum, Salman Khan, Yinon Rudich

“…The Copernicus Atmosphere Monitoring Service (CAMS) offers global reanalysis datasets and forecasts of particulate matter with a diameter of under 10 μm (PM₁₀), which approximate dust, but recent studies highlight discrepancies between CAMS data and ground <i>in-situ</i> measurements. …”
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Depression Detection and Diagnosis Based on Electroencephalogram (EEG) Analysis: A Systematic Review by Kholoud Elnaggar, Mostafa M. El-Gayar, Mohammed Elmogy

“…The survey also presents existing datasets for depression diagnosis and critically analyzes their limitations. …”
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Soil carbon-food synergy: sizable contributions of small-scale farmers by Toshichika Iizumi, Nanae Hosokawa, Rota Wagai

“…Methods We applied random forest machine learning models to global gridded datasets on crop yield (wheat, maize, rice, soybean, sorghum and millet), soil, climate and agronomic management practices from the 2000s (n = 1808 to 8123). …”
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An Empirical Analysis of Transformer-Based and Convolutional Neural Network Approaches for Early Detection and Diagnosis of Cancer Using Multimodal Imaging and Genomic Data by S. K. B. Sangeetha, Sandeep Kumar Mathivanan, V. Muthukumaran, Jaehyuk Cho, and Sathishkumar Veerappampalayam Easwaramoorthy

“…The performance comparisons between the two algorithmic methods with such complex datasets, which combine multi-modal imaging and genomic information, are presented. …”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

“…Methods This study used the National Health and Nutrition Examination Survey (NHANES) III (1988–1994) and NHANES 2007–2012 datasets. Inclusion criteria were participants aged over 40 with complete AO and CVD data; exclusions were those with missing key data. …”
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Pharmacological Mechanism of Zuojin Pill for Gastroesophageal Reflux Disease: A Network Pharmacology Study by Mi Lv, Jinke Huang, Jiayan Hu, Wenxi Yu, Ping Liu, Kunli Zhang, Fengyun Wang

“…Active compounds and target genes corresponding to ZJP and target genes related to GERD were identified through analysis of publicly available datasets. Subsequently, the obtained data were subjected to further network pharmacological analysis to explore the potential key active compounds, core target genes, and biological processes (BPs) associated with the effect of ZJP against GERD. …”
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Clinically oriented automatic three-dimensional enamel segmentation via deep learning by Wenting Yu, Xinwen Wang, Huifang Yang

“…This study aims to develop a deep learning work, 2.5D Attention U-Net, trained on small sample datasets, for the automatical, efficient, and accurate segmentation of enamel across all teeth in clinical settings. …”
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IL-13 Augments Histone Demethylase JMJD2B/KDM4B Expression Levels, Activity, and Nuclear Translocation in Airway Fibroblasts in Asthma by Khuloud Bajbouj, Mahmood Y. Hachim, Rakhee K. Ramakrishnan, Huwaida Fazel, Jumana Mustafa, Shahed Alzaghari, Mahmoud Eladl, Jasmin Shafarin, Ronald Olivenstein, Qutayba Hamid

“…Publicly available transcriptomic datasets from Gene Expression Omnibus (GEO) were used to identify differentially expressed genes on an epigenetic level upon IL-13 exposure in lung fibroblasts. …”
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Characterization of the Cannabis sativa glandular trichome epigenome by Lee J. Conneely, Bhavna Hurgobin, Sophia Ng, Muluneh Tamiru-Oli, Mathew G. Lewsey

“…Corresponding transcriptomic (RNA-seq) datasets were integrated, and tissue-specific analyses conducted to relate chromatin states to glandular trichome specific gene expression. …”
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Long-acting reversible and permanent contraceptives utilization and its associated factors among married women who desire no more children in Ethiopia: A multilevel analysis. by Nuhamin Tesfa Tsega, Wondimnew Mersha Biset, Getie Mihret Aragaw, Saron Abeje Abiy, Tilahun Nega Godana, Abera Dessie Dagnaw, Gashaw Awoke Haile, Daniel Gashaneh Belay, Berihun Agegn Mengistie

“…<h4>Methods</h4>Secondary datasets from the 2016 Ethiopian Demographic and Health Survey was used for the study. …”
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Microscale total genomic DNA was used to explore the complete mitochondrial genomes of two biting midge species of the family Ceratopogonidae (Insecta: Diptera) by Xiaohong Jiang, Yao Xie, Qiongyou Liu

“…Phylogenetic analyses of the PCGAA and PCG123RNA datasets revealed that F. humilavolita and D. bilineata were grouped together on the same branch as the other Ceratopogonidae species were F. makanensis, F. pulchrithorax, Culicoides arakawae and C. brevitarsis. …”
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Self-Harm in Eating Disorders (SHINE): a mixed-methods exploratory study by Maria Michail, Helen Bould, Anna Lavis, Sheryllin McNeil, Anthony Winston, Kalen Reid, Christina L Easter, Rosina Pendrous

“…Results from both phases will be integrated using a mixed-methods matrix, with each participant’s data from both phases compared alongside comparative analysis of the datasets as a whole.Ethics and dissemination The study gained ethical approval from the NHS HRA West Midlands–Black Country Research Ethics Committee (number: 296032). …”
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CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space by Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann, Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, Marc Streit

“…Abstract Chemical reaction optimization (RO) is an iterative process that results in large, high-dimensional datasets. Current tools allow for only limited analysis and understanding of parameter spaces, making it hard for scientists to review or follow changes throughout the process. …”
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Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning by Jianhui Chen, Qun Li, Xiaofang Liu, Fang Lin, Yaling Jing, Jiayan Yang, Lianfang Zhao

“…This study aims to investigate the potential biomarkers and immune infiltration in EMs and RPL, providing a basis for early detection and treatment of the two diseases.MethodsTwo RPL and six EMs transcriptomic datasets from the Gene Expression Omnibus (GEO) database were used for differential analysis via limma package, followed by weighted gene co-expression network analysis (WGCNA) for key modules screening. …”
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An updated regional model skill assessment for seasonal and interannual variability of bottom temperature across the eastern Bering Sea shelf by Kelly A. Kearney, Phyllis J. Stabeno, Albert J. Hermann, Albert J. Hermann, Calvin W. Mordy, Calvin W. Mordy

“…Here, we characterize bottom temperature on the southeastern Bering Sea shelf across time scales by combining data from our new pop-up floats with several existing temperature datasets. We then use this combination of data to systematically assess the skill of the Bering10K ROMS model in capturing these features, focusing on spatial variability in skill metrics and the potential processes leading to these patterns. …”
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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…Considerably bigger datasets are required for these purposes.     …”
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