The Virtual Client Experience Survey for Mental Health and Addictions: Revalidation of a Survey to Measure Client and Family Experiences of Virtual Care by Allison Crawford, Anne Kirvan, Marcos Sanches, Amanda Gambin, Denise Canso, Eva Serhal

“…For the CFA, the model was adjusted after multiple imputations with 20 datasets. The mean chi-square value was 437.5, with df=199 (P<.001). …”
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Downregulated mRNA Expression of ZNF385B Is an Independent Predictor of Breast Cancer by Ning Yan, Cong Liu, Fang Tian, Ling Wang, Yimin Wang, Zhaoying Yang, Yan Jiao, Miao He

“…The similar results were verified by datasets from the GEO database as well. The protein expression of ZNF385B was decreased in patients’ samples compared with adjacent tissues by IHC. …”
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Clinical Burden and Healthcare Resource Use of Asthma in Children in the UK by Gouia I, Joulain F, Zhang Y, Morgan CL, Khan AH

“…We assessed the clinical and economic burden of asthma in children in the UK to better understand the impact of pediatric asthma.Methods: This was a retrospective, case-matched, longitudinal analysis using the Clinical Practice Research Datalink GOLD database and linked patient-level data (Hospital Episode Statistics and Office for National Statistics datasets) of selected patient (aged 6– 11 years) records in 2017. …”
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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…Small, medium, and large datasets were used, with the small workload traces obtained from published studies and the large traces produced by the Monte Carlo simulation. …”
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Clinical relevance of macromolecular complexes involving integrins, potassium and sodium ion channels and the sodium/proton antiporter in human breast cancer by Elena Lastraioli, Jessica Iorio, Francesco Piazza, Chiara Capitani, Michele Santillo, Claudia Duranti, Simonetta Bianchi, Icro Meattini, Scott P. Fraser, Mustafa B. A. Djamgoz, Andrea Becchetti, Annarosa Arcangeli

“…Methods We analyzed the expression and impact on outcome of the genes encoding the four proteins forming the NHE1/hERG1/β1/nNaV1.5 complex (SLC9A1, KCNH2, ITGB1 and SCN5A) in public datasets. The corresponding proteins were also evaluated by immunohistochemistry and their expression was correlated with clinic-pathological and molecular characteristics and patients’ survival. …”
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Inhibition of complement system-related gene ITGB2 attenuates epithelial–mesenchymal transition and inflammation in diabetic nephropathy by Jun Peng, Wenqi Zhao, Lu Zhou, Kun Ding

“…Methods DN microarray datasets were downloaded from the GEO database, followed by differentially expressed genes (DEGs) screening. …”
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Quantifying the Impact of Soil Moisture Sensor Measurements in Determining Green Stormwater Infrastructure Performance by Matina Shakya, Amanda Hess, Bridget M. Wadzuk, Robert G. Traver

“…A paired <i>t</i>-test was conducted to understand any statistical significance within the datasets. Between laboratory and field calibrations, it was found that field calibration was preferred, as there was less variation in the factory general soil moisture reading compared to gravimetric soil moisture tests. …”
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L-shaped association between dietary iron intake and HPV infection: a cross-sectional analysis based on national health and nutrition examination survey 2005–2016 by Xiaotong Chen, Haiwei Chen, Yuling Chen, Lixin Tang, Jiaqi Liu, Yu-Hua Ou

“…The objective of our study was to investigate the potential relationship between the consumption of dietary iron and HPV infection.MethodsOur investigation drew upon comprehensive datasets from 7,819 participants enrolled in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2016. …”
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Formation and fate of freshwater on an ice floe in the Central Arctic by M. M. Smith, N. Fuchs, E. Salganik, D. K. Perovich, I. Raphael, M. A. Granskog, K. Schulz, M. D. Shupe, M. D. Shupe, M. Webster

“…Here, we combine analyses of datasets from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition (June–July 2020) for a process study on the formation and fate of sea ice freshwater on ice floes in the Central Arctic. …”
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Quantification of Soil–Water Erosion Using the RUSLE Method in the Mékrou Watershed (Middle Niger River) by Rachid Abdourahamane Attoubounou, Hamidou Diawara, Ralf Ludwig, Julien Adounkpe

“…Several types of data were used, including rainfall data, sourced from meteorological stations and reanalysis datasets, which capture the temporal variability of erosive forces. …”
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A Mitochondria‐Related Signature in Diffuse Large B‐Cell Lymphoma: Prognosis, Immune and Therapeutic Features by Zhen‐Zhong Zhou, Jia‐Chen Lu, Song‐Bin Guo, Xiao‐Peng Tian, Hai‐Long Li, Hui Zhou, Wei‐Juan Huang

“…The risk model was defined using Least Absolute Shrinkage and Selection Operator (Lasso) regression algorithm, and its prognostic value was further examined in independent datasets. Patients were stratified into two clusters based on the risk scores, additionally a nomogram was generated based on the risk score and clinical characteristics. …”
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Evaluation of Real-World Evidence to Assess Effectiveness Outcomes of Janus Kinase Inhibitors for Rheumatoid Arthritis: A Systematic Review of US Studies by Gandy C, Bazzazzadehgan S, Bruera S, Huang Y

“…A majority used the administrative claims datasets (n=23, 65.71%), followed by 9 studies using electronic medical record (EMR) data and 3 studies using patient registry databases. …”
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External validation of an artificial intelligence model using clinical variables, including ICD-10 codes, for predicting in-hospital mortality among trauma patients: a multicenter... by Seungseok Lee, Do Wan Kim, Na-eun Oh, Hayeon Lee, Seoyoung Park, Dong Keon Yon, Wu Seong Kang, Jinseok Lee

“…Furthermore, the model accurately predicted mortality across datasets from each hospital (AUROCs of 0.9234 and 0.9653, respectively) despite significant differences in hospital characteristics. …”
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MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

“…We trained the MHRA-MS-3D-ResNet-BiLSTM model using multi-source RS datasets from 2019 and 2020 and evaluated its performance with U.S. soybean yield data for 2021 and 2022. …”
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Deciphering the potential ability of DExD/H-box helicase 60 (DDX60) on the proliferation, diagnostic and prognostic biomarker in pancreatic cancer: a research based on silico, RNA-... by Dongdong Zhang, Enze Zhang, Ying Cai, Yixin sun, Peiji Zeng, Xiaohua Jiang, Yifan Lian

“…Materials and methods We downloaded pancreatic cancer datasets from GEO and TCGA databases, respectively. …”
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Variability and performance of NHS England’s ‘reason to reside’ criteria in predicting hospital discharge in acute hospitals in England: a retrospective, observational cohort study... by Elizabeth Sapey, Simon Ball, David McNulty, Felicity Evison, Suzy Gallier, Katherine Reeves

“…We aimed to understand the degree of intercentre and intracentre variation in R2R-related metrics reported to NHSE, define an SDM implemented within a single centre Electronic Health Record to generate an electronic R2R (eR2R) and evaluate its performance in predicting subsequent discharge.Design Retrospective observational cohort study using routinely collected health data.Setting 122 NHS Trusts in England for national reporting and an acute hospital in England for local reporting.Participants 6 602 706 patient-days were analysed using 3-month national data and 1 039 592 patient-days, using 3-year single centre data.Main outcome measures Variability in R2R-related metrics reported to NHSE. …”
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Synthetic inhibition of SREBP2 and the mevalonate pathway blocks rhabdomyosarcoma tumor growth in vitro and in vivo and promotes chemosensitization by Silvia Codenotti, Michela Asperti, Maura Poli, Luisa Lorenzi, Alberto Pietrantoni, Matteo Cassandri, Francesco Marampon, Alessandro Fanzani

“…Methods: In silico analyses of RNA datasets were performed to correlate MVP with RMS patient survival. …”
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Ontologies in modelling and analysing of big genetic data by N. L. Podkolodnyy, O. A. Podkolodnaya, V. A. Ivanisenko, M. A. Marchenko

“…Experiments on cancer diagnostic datasets show that Deep GONet is easily interpretable and has high performance in distinguishing cancerous and non-cancerous samples. (2) ONN4MST, which uses biome ontologies to trace microbial sources of samples whose niches were previously poorly studied or unknown, detecting microbial contaminants. …”
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Priority effects, nutrition and milk glycan-metabolic potential drive Bifidobacterium longum subspecies dynamics in the infant gut microbiome by Nicholas Pucci, Joanne Ujčič-Voortman, Arnoud P. Verhoeff, Daniel R. Mende

“…Methodology We analyzed newly sequenced gut microbiome samples of mother-infant pairs from the Amsterdam Infant Microbiome Study (AIMS) and four publicly available datasets to identify important environmental and bifidobacterial features associated with the colonization success and succession outcomes of B. longum subspecies. …”
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Knowledge discovery from database: MRI radiomic features to assess recurrence risk in high-grade meningiomas by Chen Chen, Lifang Hao, Bin Bai, Guijun Zhang

“…Methods 279 features were extracted from each ROI including 9 histogram features, 220 Gy-level co-occurrence matrix features, 20 Gy-level run-length matrix features, 5 auto-regressive model features, 20 wavelets transform features and 5 absolute gradient statistics features. The datasets were randomly divided into two groups, the training set (~ 70%) and the test set (~ 30%). …”
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