A New Discrete Analogue of the Continuous Muth Distribution for Over-Dispersed Data: Properties, Estimation Techniques, and Application by Howaida Elsayed, Mohamed Hussein

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Functional Responses of the Warehouse Pirate Bug <i>Xylocoris flavipes</i> (Reuter) (Hemiptera: Anthocoridae) on a Diet of <i>Liposcelis decolor</i> (Pearman) (Psocodea: Liposcelid... by Augustine Bosomtwe, George Opit, Kristopher Giles, Brad Kard, Carla Goad

“…Maximum likelihood estimates (MLEs) of a logistic regression analysis showed that the functional responses of the life stages of <i>X. flavipes</i> on diets of three stages of <i>L. decolor</i> were Holling Type II. …”
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Conceptualizing Clinicians&#x2019; Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Th... by Hamid Shamszare, Zaira Chaudhry, Manijeh Berenji, Avishek Choudhury

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Enhancing the quality of kinesthetic motor imagery for complex motor skills through simulated muscle activation color visualization: Evidence from time-frequency and functional con... by Xiaogang Ma, Bing Shi

“…A 64-channel EEG cap was utilized for data acquisition. Changes in alpha and beta range oscillations during kMI were examined, and region of interest (ROI) analysis was conducted to extract the correlation coefficient matrix among kMI-related subcortical nuclei. …”
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Prognosis for Type 1 Diabetes with Diabetic Nephropathy between 2000 and 2020 - Changes in Kidney Function Decline Over Time and Development of Cardiovascular Disease, Kidney Failu... by Christina G. Poulsen, Kristin Jesse, Bendix Carstensen, Marie Frimodt-Møller, Tine W. Hansen, Frederik Persson, Dorte Vistisen, Peter Rossing

“…Introduction: Individuals with type 1 diabetes (T1D) and diabetic nephropathy (DN) experience progressive kidney function decline and high risk of cardiovascular disease (CVD) and mortality. …”
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GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detectionMendeley Data by Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Kamrul Hassan Shakil, Aka Das, Khalid Been Badruzzaman Biplob, Imran Mahmud, Syed Md. Minhaz Hossain

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Big Data Market Optimization Pricing Model Based on Data Quality by Jian Yang, Chongchong Zhao, Chunxiao Xing

“…Then, from the perspective of data science, we analyzed the impact of quality level on big data analysis (i.e., machine learning algorithms) and defined the utility function of data quality. …”
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Integrative Analysis of Whole-Genome and Transcriptomic Data Reveals Novel Variants in Differentially Expressed Long Noncoding RNAs Associated with Asthenozoospermia by Maria-Anna Kyrgiafini, Maria Katsigianni, Themistoklis Giannoulis, Theologia Sarafidou, Alexia Chatziparasidou, Zissis Mamuris

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Correlation Analysis of Radical Polymerization Reactor Operating Conditions to Industrial Scale Swelling Capacity of Superabsorbent by Willy Aulia Ilham, Teguh Kurniawan, Saepurahman Saepurahman, Ratna Sari siti Aisyah

“…This study aims to analyse the correlation between the reactor operating conditions and the number of SAP SC obtained. Correlation data analysis was done using Microsoft Excel with Data Analysis Toolpak and Python by utilizing production data with a total of 1,562 entries, where the correlation between each variable was calculated using Pearson’s correlation coefficient. …”
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Fatigue after stroke: baseline predictors and influence on survival. Analysis of data from UK patients recruited in the International Stroke Trial. by Gillian E Mead, Catriona Graham, Paul Dorman, Slot Karsten Bruins, Steff C Lewis, Martin S Dennis, Peter A G Sandercock, UK Collaborators of IST

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Security Data Aggregation with Recoverable Data in Heterogeneous Wireless Sensor Network by Lusheng Shi, Huibo Zhu, Lin Chen

“…Recently, many security aggregation algorithms in wireless sensor network have high communication overhead and the usage of aggregation functions is constrained. A secure data aggregation algorithm with recoverable data in heterogeneous wireless sensor network was proposed. …”
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The role of RETN in stomach adenocarcinoma (STAD): insights from pan-cancer analysis of RNA-seq data based on the TCGA database by Yaxing Deng, Chenglin Wang, Rui Yang, Qingqiang Yang

“…Finally, the potential mechanisms of RETN in STAD were explored, including single-cell expression, PPI, functional enrichment analysis, single-gene correlation, gene co-expression analysis, and immune infiltration correlation. …”
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RIDDEN: Data-driven inference of receptor activity from transcriptomic data. by Szilvia Barsi, Eszter Varga, Daniel Dimitrov, Julio Saez-Rodriguez, László Hunyady, Bence Szalai

“…Also, most of the methods use directly the expression of ligands and receptors to infer active interaction, while co-expression of genes does not necessarily indicate functional interactions or activated state. To address these problems, we developed RIDDEN (Receptor actIvity Data Driven inferENce), a computational tool, which predicts receptor activities from the receptor-regulated gene expression profiles, and not from the expressions of ligand and receptor genes. …”
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Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretability. by Xiao Zhou, Sanchita Kedia, Ran Meng, Mark Gerstein

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PTK6 mediated immune signatures revealed by single cell transcriptomic and multi omics big data analysis in cervical cancer by Fen Zhao, Huanxin Zhong, Lifang You, Yi Du, Changchang Huang

“…Functional validation demonstrated that PTK6 knockdown reduced HeLa cell proliferation, confirming its oncogenic role. …”
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A multidisciplinary and structured approach for comprehensive evaluation of functional outcomes, adverse events, psychosocial outcomes and health-related quality of life after loca... by Leonie G. Tigelaar, Lianne M. Haveman, Willem P. Bekkering, Irene L. B. Oude Lansink, Christel D. Rohrich, Hinke Van der Hoek, Laura R. Beek, Jennifer Van Dijk, Marjolein E. M. Langemeijer, Relinde W. Slooff-Lentink, Alied M. Van der Aa-Van Delden, Heleen Maurice-Stam, Annemarie M. L. Peek, Helena J. H. Van der Pal, Maria M. W. Koopman, Leontien C. M. Kremer, Stijn J. Westerbos, Harm Van Tinteren, Jos A. M. Bramer, Jos A. M. Bramer, Michiel A. J. Van de Sande, Michiel A. J. Van de Sande, Martha A. Grootenhuis, Hendrik W. B. Schreuder, Hendrik W. B. Schreuder, Johannes H. M. Merks, Johannes H. M. Merks

“…This study protocol describes the methodology of a cross-sectional study that aims to systematically report the functional outcomes, adverse events, psychosocial outcomes and health-related quality of life of the cohort seen at this clinic.Methods and analysisParticipants are recruited at the multidisciplinary follow-up clinic and their consent is obtained. …”
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Temporal analysis of mangrove carbon stock using Sentinel-2 data on Menjangan Island, West Bali National Park, Indonesia by Salsabila Ranti Dwimarsa, Panjaitan James Parlindungan

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The Impact of Normalization Procedures on Surface Electromyography (sEMG) Data Integrity: A Study of Bicep and Tricep Muscle Signal Analysis by Sergio Fuentes del Toro, Josue Aranda-Ruiz

“…Surface electromyography (sEMG) is a critical tool for quantifying muscle activity and inferring biomechanical function, enabling the detection of neuromuscular deficits through the analysis of electrical potential propagation. …”
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An iteration-free approach for determining the average reservoir pressure and original gas in place by production data analysis: Methodology and field cases by Yang Wang, Shilong Yang, Hang Xie, Naichao Feng, Haiyang Yu

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Integrative analysis of bulk and single-cell transcriptomic data reveals novel insights into lipid metabolism and prognostic factors in hepatocellular carcinoma by Feiyu Qi, Guiming Zha, Yanfang Zhang, Sihua Liu, Yuhang Yang, Wanliang Sun, Dongdong Wang, Zhong Liu, Zheng Lu, Dengyong Zhang

“…Genes with cor > 0.4 in the highest-expressing module were selected for Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis. Immune-related analysis was conducted based on seven algorithms for immune cell infiltration prediction. …”
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