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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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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Golgi scaffold protein PAQR11 in pan-cancer landscape: A comprehensive bioinformatics exploration of expression patterns, prognostic significance, and potential immunological funct... by Zhu Liu, Zhi-Qiang Ling

“…Methods: We conducted a comprehensive bioinformatics analysis using publicly available pan-cancer datasets from TCGA, GEO, UALCAN, TIMER, GEPIA2, KM plotter, and TISIDB. …”
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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…Ignoring temporal variation allows collapsing detection data across repeated sampling occasions, speeding up computations, which can be important when analyzing large datasets with complex models. I simulated data under different scenarios of temporal and spatio-temporal variation in detection, analyzed data with the data-generating model and an alternative model ignoring temporal variation in detection, and compared estimates between these two models with respect to relative bias, coefficient of variation (CV) and relative root mean squared error (RMSE). …”
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Fruit size prediction of tomato cultivars using machine learning algorithms by Masaaki Takahashi, Yasushi Kawasaki, Hiroki Naito, Hiroki Naito, Unseok Lee, Koichi Yoshi

“…For constructing the models, the fruit weight estimated from the fruit diameter obtained over time for each cumulative temperature after anthesis was used as explanatory variable and the fruit weight at harvest was used as objective variable. Datasets for two different prediction periods after anthesis of three tomato cultivars (“CF Momotaro York,” “Zayda,” and “Adventure.”) were used to develop tomato size prediction models, and their performance was evaluated. …”
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Creating accountable hospital service areas in China: a case analysis of health expenditure in the metropolis of Chengdu by Jay Pan, Peiya Cao, Xiaoshuang Zhao, Yili Yang

“…Cases of non-residents of Chengdu were excluded from the datasets.Methods We conducted three sets of analyses: (1) apply Dartmouth approach to delineate HSAs; (2) use Geographic Information System (GIS)-based method to demonstrate health expenditure variations across delineated HSAs and (3) employ a three-level multilevel linear model to examine the association between health expenditure and demand-side, supply-side and region-specific factors.Results A total of 113 HSAs with a median population of 60 472 (ranging from 7022 to 827 750) was delineated. …”
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Plant response to the fire regime (1970–2023) in a fynbos World Heritage Site: Ecological indicators for fire management by Tineke Kraaij, Johan Baard, AnneLise Schutte-Vlok

“…We analysed long-term datasets to assess the response of indicator plants (slow-maturing obligatory reseeding Proteaceae shrubs; ‘proteoids’) to the historical fire regime (1970–2023) in the Outeniqua World Heritage Site (OWHS), South Africa. …”
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The Accuracy of the NSQIP Universal Surgical Risk Calculator Compared to Operation-Specific Calculators by Mark E. Cohen, PhD, Yaoming Liu, PhD, Bruce L. Hall, MD, PhD, MBA, FACS, Clifford Y. Ko, MD, MS, MSHS, FACS

“…While operation-specific RCs might be assumed to have advantages over a universal RC, their reliance on smaller datasets may reduce their ability to accurately estimate predictor effects. …”
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Unveiling the signal valve specifically tuning the TGF-β1 suppression of osteogenesis: mediation through a SMAD1-SMAD2 complex by Ying-Wen Wang, Ching-Wei Luo

“…Ingenuity Pathway Analysis, and analysis of transcriptomic datasets from human BM-MSCs in combination with hierarchical clustering and STRING assay were used to decipher the interplaying co-repressors. …”
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