Identification of RAD51AP1 as a key gene in hepatitis B virus-associated hepatocellular carcinoma by Meiling Wan, Yonghong Wang, Xiaoling Liu, Yaling Li, Cunliang Deng, Changfeng Sun

“…Methods: HBV-associated HCC datasets (GSE19665, GSE121248, GSE55092, GSE94660, and TCGA-LIHC) acquired from public databases were mined to identify key driver genes by differentially expressed gene analysis, weighted gene co-expression network analysis (WGCNA), followed by protein-protein interaction network analysis, Lasso-Cox regression analysis, and randomforestSRC algorithm. …”
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Clinical and genetic drivers of oligo-metastatic disease in colon cancer by Alessandro Ottaiano, Mariachiara Santorsola, Roberto Sirica, Annabella Di Mauro, Antonella Di Carlo, Monica Ianniello, Francesco Sabbatino, Rosa Castiello, Francesca Del Peschio, Marco Cascella, Francesco Perri, Maurizio Capuozzo, Nicola Martucci, Edoardo Mercadante, Valentina Borzillo, Rossella Di Franco, Francesco Izzo, Vincenza Granata, Carmine Picone, Antonella Petrillo, Massimiliano Berretta, Salvatore Stilo, Luca Tarotto, Anna Chiara Carratù, Gerardo Ferrara, Madhura Tathode, Alessia Maria Cossu, Marco Bocchetti, Michele Caraglia, Guglielmo Nasti, Giovanni Savarese

“…Additionally, by integrating data from public datasets and our case study, we hypothesize that some gene alterations (i.e.: BRAF, SMAD4, RAF1, and mTOR) may prevent OMD occurrence. …”
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Vitamin K‐dependent gamma‐carboxyglutamic acid protein 1 promotes pancreatic ductal adenocarcinoma progression through stabilizing oncoprotein KRAS and tyrosine kinase receptor EGF... by Zheng Wu, Qing Ye, Shan Zhang, Li‐Peng Hu, Xiao‐Qi Wang, Lin‐Li Yao, Lei Zhu, Shu‐Yu Xiao, Zong‐Hao Duan, Xue‐Li Zhang, Shu‐Heng Jiang, Zhi‐Gang Zhang, De‐Jun Liu, Dong‐Xue Li, Xiao‐Mei Yang

“…Methods Analysis of pancreatic ductal adenocarcinoma (PDAC) datasets, including transcription profiles, clinical data, and tissue microarrays, was conducted to evaluate PRRG1 expression and its clinical relevance. …”
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Impacts on and damage to European forests from the 2018–2022 heat and drought events by F. Knutzen, P. Averbeck, C. Barrasso, C. Barrasso, L. M. Bouwer, L. M. Bouwer, B. Gardiner, J. M. Grünzweig, S. Hänel, K. Haustein, K. Haustein, M. R. Johannessen, S. Kollet, M. M. Müller, J.-P. Pietikäinen, K. Pietras-Couffignal, K. Pietras-Couffignal, J. G. Pinto, D. Rechid, E. Rousi, A. Russo, A. Russo, L. Suarez-Gutierrez, L. Suarez-Gutierrez, S. Veit, S. Veit, J. Wendler, E. Xoplaki, D. Gliksman, D. Gliksman

“…This study consolidates data on drought and heat damage in European forests from 2018 to 2022, using Europe-wide datasets including those related to crown defoliation, insect damage, burnt forest areas, and tree cover loss. …”
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Morphology, phylogeography, phylogeny, and taxonomy of Cyclorhiza (Apiaceae) by Bo-Ni Song, Xueyimu Aou, Rong-Ming Tian, Jing Cai, Wei-Yan Tan, Chang-Kun Liu, Chang-Kun Liu, Xing-Jin He, Song-Dong Zhou

“…Finally, we performed the phylogenetic analyses based on three datasets (plastome data, ITS sequences, and haplotypes) and estimated the origin and divergence time of the genus.Results and discussionThe morphology of Cyclorhiza plants and S. purpureovaginatum was highly similar, and their plastomes in structure and features were conserved. …”
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Are noise and air pollution related to the incidence of dementia? A cohort study in London, England by Derek G Cook, Frank J Kelly, Iain M Carey, H Ross Anderson, David P Strachan, Richard W Atkinson, Sean D Beevers, David Dajnak, John Gulliver

“…Objective To investigate whether the incidence of dementia is related to residential levels of air and noise pollution in London.Design Retrospective cohort study using primary care data.Setting 75 Greater London practices.Participants 130 978 adults aged 50–79 years registered with their general practices on 1 January 2005, with no recorded history of dementia or care home residence.Primary and secondary outcome measures A first recorded diagnosis of dementia and, where specified, subgroups of Alzheimer’s disease and vascular dementia during 2005–2013. …”
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Research Progress and Prospects of Key Navigation Technologies for Facility Agricultural Robots by HE Yong, HUANG Zhenyu, YANG Ningyuan, LI Xiyao, WANG Yuwei, FENG Xuping

“…[Conclusions and Prospects]Currently, the challenges for facility agricultural robot navigation include complex scenarios with significant occlusions, cost constraints, low operational efficiency and the lack of standardized platforms and public datasets. These issues not only affect the practical application effectiveness of robots but also constrain the further advancement of the industry. …”
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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

“…Methods We included 16,378 patients from the Kailuan cohort, splitting them into training and testing datasets. Using baseline characteristics and changes over a four-year observation period, we developed the ML-CVD-C (Machine Learning Cardiovascular Disease in Chinese) score to predict 10-year cardiovascular risk, including cardiovascular death, nonfatal myocardial infarction, and stroke. …”
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Ground-based contrail observations: comparisons with reanalysis weather data and contrail model simulations by J. Low, R. Teoh, J. Ponsonby, E. Gryspeerdt, M. Shapiro, M. E. J. Stettler

“…Overall, this study demonstrates the potential of ground-based cameras to create essential observational and benchmark datasets for validating and improving existing weather and contrail models.…”
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Impact of pandemic service changes on ethnic inequalities in maternal and perinatal outcomes in England: a population-based study by Andrew Judge, Erik Lenguerrand, Tim Draycott, Stamatina Iliodromiti, Asma Khalil, Buthaina Ibrahim, Jennifer Elizabeth Jardine

“…We aim to assess the impact of the unprecedented change in care provision during the COVID-19 pandemic on inequalities in adverse maternity outcomes.Design Retrospective cohort study using structured electronic health record data.Setting English hospital trusts providing maternity care.Participants Women giving birth and babies born in the National Health Service (NHS) in England between 1 April 2018 and 31 March 2021, in three time groups: prepandemic, the first pandemic wave (26 March 2020 to 30 June 2020) and second pandemic wave (1 July 2020 to 31 March 2021). …”
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Identification of Anoikis-Related Genes in Chronic Kidney Disease Based on Bioinformatics Analysis Combined with Experimental Validation by Liu H, Mei M, Zhong H, Lin S, Luo J, Huang S, Zhou J

“…We aimed to establish the Anoikis-related gene signature in CKD by bioinformatics analysis.Methods: We retrieved 3 datasets from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs), followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) of them, which were intersected with Anoikis-related genes (ARGs) to derive Anoikis-related differentially expressed genes (ARDEGs). …”
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Clinical significance and pro-oncogenic function of DBF4 in clear cell renal cell carcinoma by Liuyan Chen, Lvying Wu, Minying Tang, Yuanhang Cheng, Kuanyin Wang, Jianan Zhang, Wenyi Deng, Lingfeng Zhu, Jin Chen

“…Methods We utilized external datasets and bioinformatics analyses to investigate the significance of DBF4 in ccRCC. …”
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Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis by Sidra Ilyas, Abdul Manan, Chanyoon Park, Hee-Geun Jo, Donghun Lee

“…However, concerns related to the lack of large datasets, experimental validation, and high computational costs remain.…”
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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

“…Three metrics (coefficient of correlation (r), root mean square error (RMSE), and Nash–Sutcliffe model-fit efficiency (NSE)) and a more advanced interpretation system SHapley Additive exPlanations (SHAP) are used to assess the performance of these models applied to hydro-climatic datasets for prediction of SSC. The calibration process was based on data from 2016 to 2020, and the validation was done for 2021 data. …”
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Macrophage heterogeneity and oncogenic mechanisms in lung adenocarcinoma: insights from scRNA-seq analysis and predictive modeling by Han Zhang, Jiaxing Dai, Qiuqiao Mu, Xiaojiang Zhao, Ziao Lin, Ziao Lin, Kai Wang, Meng Wang, Meng Wang, Daqiang Sun

“…The model’s performance was validated across multiple external datasets. We also examined differences between high and low-risk groups in terms of pathway enrichment, mutation information, tumor microenvironment(TME), and immunotherapy efficacy. …”
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New Insights into the Role of Inflammatory Pathways and Immune Cell Infiltration in Sleep Deprivation-Induced Atrial Fibrillation: An Integrated Bioinformatics and Experimental Stu... by Liang J, Tang B, Shen J, Rejiepu M, Guo Y, Wang X, Shao S, Guo F, Wang Q, Zhang L

“…The objective of this research was to pinpoint the shared molecular routes responsible for SD-induced AF and investigate possible treatment targets.Methods: Utilizing bioinformatics, we examined two transcriptome datasets from the Gene Expression Omnibus (GEO) database to pinpoint genes with differential expression (DEGs) common to SD and AF. …”
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Exploring environmental risk in soils: Leveraging open data for non-sampling assessment? by Silvia Aparisi-Navarro, Maria Moncho-Santonja, Beatriz Defez, Carla Candeias, Fernando Rocha, Guillermo Peris-Fajarnés

“…Several contamination indices, Contamination Factor (Cf), Modified Contamination Degree (mCd), Geoaccumulation Index (Igeo), Nemerow Pollution Index (Pn), Potential Ecological Risk Index (PERI), and Pollution Load Index (PLI) were calculated for both datasets. A confusion matrix was used to evaluate the percentage of correct classifications, while a concordance analysis assessed the alignment of accurately classified points between the two data sources.In the soil samples, very high contamination levels for As were observed in 42% of the samples, according to the Cf, with high levels for Sb found in approximately 30% of the samples. …”
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Trends and distribution patterns of infant mortality and maternal HIV positivity in South Africa: A decade review (2007 - 2016) by M Makhele, N Ledibane, H Ramatsoma, A Musekiwa

“…Line charts with descriptive statistics were used to detail trends in IMRs, and multiple logistic regression models were used to identify risk factors for infant mortality in the 2007 and 2016 CS datasets. Spearman’s rank-order correlation (rho) was used to correlate infant mortality with data from the 2007 ANCHSS. …”
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Digital Gaming and Subsequent Health and Well-Being Among Older Adults: Longitudinal Outcome-Wide Analysis by Atsushi Nakagomi, Kazushige Ide, Katsunori Kondo, Koichiro Shiba

“…Consequently, we used 2 datasets for analysis. We applied targeted maximum likelihood estimation to estimate the population average treatment effects, with Bonferroni correction used to adjust for multiple testing. …”
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Possible linking and treatment between Parkinson’s disease and inflammatory bowel disease: a study of Mendelian randomization based on gut–brain axis by Beiming Wang, Xiaoyin Bai, Yingmai Yang, Hong Yang

“…Methods A meta-analysis on bidirectional Mendelian randomization (MR) utilizing various datasets was performed to estimate their causal relationship. …”
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