A Comprehensive Study Employing Computational Analysis and Mendelian Randomization Has Revealed the Impact of Key Genes on Liver Cancer by Size Li, Wenying Qi, Junzheng Wu, Chunhua Luo, Shihao Zheng, Xu Cao, Wei Wang, Qiyao Liu, Hongbo Du, Xiaoke Li, Xiaobin Zao, Yongan Ye

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Has the reporting quality of published randomised controlled trial protocols improved since the SPIRIT statement? A methodological study by Ian Harris, Aidan Christopher Tan, Sam Adie, Marina Pinheiro, Justine M Naylor, Zet Wei Tan, Tom Li, Michiel Siebelt, Jasper van Tiel, Laura Harris, Kira Chamberlain

“…Objectives To determine the reporting quality of published randomised controlled trial (RCT) protocols before and after the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) statement (2013), and any association with author, trial or journal factors.Design Methodological study.Data sources MEDLINE, Embase and CENTRAL were electronically searched using optimised search strategies.Eligibility criteria Protocols written for an RCT of living humans, published in full text in a peer-reviewed journal and published in the English language.Main outcome Primary outcome was the overall proportion of checklist items which were adequately reported in RCT protocols published before and after the SPIRIT statement.Results 300 RCT protocols were retrieved; 150 from the period immediately before the SPIRIT statement (9 July 2012 to 28 December 2012) and 150 from a recent period after the SPIRIT statement (25 January 2019 to 20 March 2019). 47.9% (95% CI, 46.5% to 49.3%) of checklist items were adequately reported in RCT protocols before the SPIRIT statement and 56.7% (95% CI, 54.9% to 58.5%) after the SPIRIT statement. …”
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Genome assembly has a major impact on gene content: a comparison of annotation in two Bos taurus assemblies. by Liliana Florea, Alexander Souvorov, Theodore S Kalbfleisch, Steven L Salzberg

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Has government aging governance alleviated rural multidimensional relative poverty? Evidence from the China Rural Revitalization Survey by Heng Wang, Heng Wang, Shu Yang, Xianfeng Zeng, Yu Wang

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Canopy Temperature Estimation Using Gene Expression Programming Models and Artificial Neural Networks by Mehri Saeidinia, AmirHameh Haghiabi

“…Simple approaches such as soft computing can be a good tool for this purpose because there has been no documented research in this field. In this study, the ANN (MLP with two hidden layers) and GEP models were used to estimate Tc using limited data such as the dry (Ta) and wet bulb (TW) temperatures, saturation vapor pressure (es), actual vapor pressure (ea), and the vapor-pressure deficit (VPD). …”
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‘In the end, I’m the one who has to do the job’: Participant experience of a lifestyle intervention for patients with hypertension by Hanna Glock, Beata Borgström Bolmsjö, Veronica Milos Nymberg, Moa Wolff, Susanna Calling

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Has the pandemic exacerbated sedentary behavior in children? Factors associated with high screen time in schoolchildren during COVID- 19 by Erica Costa Rodrigues, Laudicéia Ferreira Fróis, Natália de Freitas Tavares, Priscila Pena Camargo, Raquel de Deus Mendonça, Adriana Lúcia Meireles

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Unravelling typology of family life when a parent has heart disease: A qualitative study of families with adolescents by Matilda Holmbom, Hanna Grundström, Frida Andréasson, Camilla Rotvig, Hege Andersen, Camilla Bernild, Tone Merete Norekvål, Selina Kikkenborg Berg, Anna Strömberg

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Evaluating the factors influencing accuracy, interpretability, and reproducibility in the use of machine learning classifiers in biology to enable standardization by Kaitlyn M. Martinez, Kristen Wilding, Trent R. Llewellyn, Daniel E. Jacobsen, Makaela M. Montoya, Jessica Z. Kubicek-Sutherland, Sweta Batni, Carrie Manore, Harshini Mukundan

“…Abstract The complexity and variability of biological data has promoted the increased use of machine learning methods to understand processes and predict outcomes. …”
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Can routine data be used to estimate the mental health service use of children and young people living on Gypsy and Traveller sites in Wales? A feasibility study. by Sarah Rees, Richard Fry, Jason Davies, Ann John, Louise Condon

“…Routine data is increasingly relied upon for needs assessment and service planning, which has policy and practice implications for this underserved group. …”
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Can we empirically derive a geographic definition of ‘coastal’ for use in cancer data reporting? An ecological modelling study using England’s national cancer registry by Lizz Paley, Claire Welsh, Sally Vernon, Mark Alan Green, Jennifer Lai, Catherine Welham, Jack Anderson, Clarice Quinn

“…We propose that this variable is now embedded into health inequalities reporting and adopted as the working definition of ‘coastal’ implicated in NHS England’s ‘Core20PLUS5’ approach for use in cancer data reporting.…”
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Using historical U.S. copper data to consider future copper recovery from post-consumer electronic waste by Andrea Hicks, Michelle Wagner, Colin Fitzpatrick

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Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing by Naveen S. Pagad, Pradeep Nijalingappa, Tulika Chakrabarti, Prasun Chakrabarti, Pugazhenthan Thangaraju

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Regional-based potential assessment for solar photovoltaic generation in northern part of Nigeria using satellite imagery data by Mohammed K. Salihu, Ali Danladi, D. W. Medugu

“…Abstract Background This research used satellite imagery data to conduct a regional-based potential assessment for solar photovoltaic generating in the northern section of Nigeria. …”
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Estimated effect of media use on mothers’ vaccination of their children in Sub-Saharan Africa: a quasi-experimental propensity score matching analysis using DHS data by Melak Jejaw, Kaleb Assegid Demissie, Getachew Teshale, Demiss Mulatu Geberu, Misganaw Guadie Tiruneh, Asebe Hagos, Nigusu Worku, Endalkachew Dellie, Tesfahun Zemene Tafere

“…Methods We used nationally representative demography and health survey data collected from 2019 to 2024 among 23,194 children aged 12-23 months in SSA countries. …”
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Initially, for developing this model, the collection of the MRI scans of non-tumour and glioma tumours has been done, which are further pre-processed by performing data balancing and image resizing. …”
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Can we estimate the period and quality-factor of the Chandler wobble using only the observed polar motion data? by Ryuji Yamaguchi, Masato Furuya

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Advances in Observation and Estimation of Land Use Impacts on Climate Changes: Improved Data, Upgraded Models, and Case Studies by R. B. Singh, Chenchen Shi

“…Global land use and land cover pattern has greatly changed in the past 50 years, which exerts direct or indirect influence on the climate change remarkably at both regional and global scales. …”
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Mapping the risk of Rift Valley fever in Uganda using national seroprevalence data from cattle, sheep and goats. by Dan Tumusiime, Emmanuel Isingoma, Optato B Tashoroora, Deo B Ndumu, Milton Bahati, Noelina Nantima, Denis Rwabiita Mugizi, Christine Jost, Bernard Bett

“…Data obtained were analyzed using a Bayesian model that utilizes integrated nested Laplace approximation (INLA) and stochastic partial differential equation (SPDE) approaches to estimate posterior distributions of model parameters, and account for spatial autocorrelation. …”
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Surveillance for TB drug resistance using routine rapid diagnostic testing data: Methodological development and application in Brazil. by Sarah E Baum, Daniele M Pelissari, Fernanda Dockhorn Costa, Luiza O Harada, Mauro Sanchez, Patricia Bartholomay, Ted Cohen, Marcia C Castro, Nicolas A Menzies

“…However, RDT data collected in the course of routine (but not universal) use may provide biased estimates of resistance if the subset of patients receiving RDTs is not representative of the overall cohort. …”
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