Comparing gene-gene co-expression network approaches for the analysis of cell differentiation and specification on scRNAseq data by Alisa Pavel, Manja Gersholm Grønberg, Line H. Clemmensen

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Source Apportionment and Ecological-Health Risk Assessments of Potentially Toxic Elements in Topsoil of an Agricultural Region in Southwest China by Yangshuang Wang, Shiming Yang, Denghui Wei, Haidong Li, Ming Luo, Xiaoyan Zhao, Yunhui Zhang, Ying Wang

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Sentiment Analysis using Twitter Dataset by Ibrahim Moge Noor, Metin Turan

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JWST-TST DREAMS: A Supersolar Metallicity in WASP-17 b’s Dayside Atmosphere from NIRISS SOSS Eclipse Spectroscopy by Amélie Gressier, Ryan J. MacDonald, Néstor Espinoza, Hannah R. Wakeford, Nikole K. Lewis, Jayesh Goyal, Dana R. Louie, Michael Radica, Natasha E. Batalha, Douglas Long, Erin M. May, Elijah Mullens, Sara Seager, Kevin B. Stevenson, Jeff A. Valenti, Lili Alderson, Natalie H. Allen, Caleb I. Cañas, Ryan C. Challener, Knicole Colón, Ana Glidden, David Grant, Jingcheng Huang, Zifan Lin, Daniel Valentine, C. Matt Mountain, Laurent Pueyo, Marshall D. Perrin, Roeland P. van der Marel

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A Unified Graph Theory Approach: Clustering and Learning in Criminal Data by Haifa Al-Ibrahim, Heba Kurdi

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A comprehensive hematological dataset for dengue incidence in Bangladesh(Mendeley Data). by Md. Asraful Sharker Nirob, A K M Fazlul Kobir Siam, Prayma Bishshash, Md. Assaduzzaman, Md. Afzalul Haque, Arif Mahmud

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Effects of aging and light-curing unit type on the volume and internal porosity of bulk-fill resin composite restoration by Afnan O. Al-Zain, Elaf A. Alboloshi, Walaa A. Amir, Maryam A. Alghilan, Eliseu A. Münchow

“…Data were analyzed using a two-way ANOVA and Tukey’s test (p < 0.05). …”
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InfoMat: Leveraging Information Theory to Visualize and Understand Sequential Data by Dor Tsur, Haim Permuter

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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…In the face of high-dimensional financial data econometric analysis, numerous algorithms inevitably face problems such as difficult model identification, too slow convergence, and too long iteration time. …”
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Emotional contagion in dyadic online video conferences—empirical evidence based on self-report and facial expression data by Anton K. G. Marx, David F. Sachs, Anne C. Frenzel, Martin T. Schweizer

“…The present study explored the degree to which emotional contagion occurs in dyadic online video conferences, using subjective self-report and automatically coded facial expression data.MethodsIn a lab-based experimental approach, 104 participants (in 52 dyads) interacted via synchronized computers. …”
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“DTH 1.0”: TOWARDS AN ARTIFICIAL INTELLIGENCE DECISION SUPPORT SYSTEM FOR GEOGRAPHICAL ANALYSIS OF HEALTH DATA by Dimitris KAVROUDAKIS, Phaedon C. KYRIAKIDIS

“…Artificial Intelligence methodologies incorporate approaches for knowledge retrieval and pattern discovery, which have been proven to be useful for data analysis in various disciplines. Decision trees methods belong to knowledge discovery methodologies and use computational algorithms for the extraction of patterns from data. …”
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OpenStats: A robust and scalable software package for reproducible analysis of high-throughput phenotypic data. by Hamed Haselimashhadi, Jeremy C Mason, Ann-Marie Mallon, Damian Smedley, Terrence F Meehan, Helen Parkinson

“…Reproducibility in the statistical analyses of data from high-throughput phenotyping screens requires a robust and reliable analysis foundation that allows modelling of different possible statistical scenarios. …”
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“DTH 1.0”: TOWARDS AN ARTIFICIAL INTELLIGENCE DECISION SUPPORT SYSTEM FOR GEOGRAPHICAL ANALYSIS OF HEALTH DATA by Dimitris KAVROUDAKIS, Phaedon C. KYRIAKIDIS

“…Artificial Intelligence methodologies incorporate approaches for knowledge retrieval and pattern discovery, which have been proven to be useful for data analysis in various disciplines. Decision trees methods belong to knowledge discovery methodologies and use computational algorithms for the extraction of patterns from data. …”
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Bioelectrical impedance vector analysis in older adults: reference standards from a cross-sectional study by Francesco Campa, Giuseppe Annunziata, Luigi Barrea, Alessandro Sampieri, Chiara Ceolin, Chiara Ceolin, Marina De Rui, Francesco Sguaizer, Cristian Petri, Fabrizio Spataro, Gabriele Mascherini, Margherita Micheletti Cremasco, Giuseppe Sergi, Tatiana Moro, Antonio Paoli

“…Background and AimsThe bioelectrical impedance vector analysis (BIVA) requires population-specific references to correctly classify individuals based on body composition properties. …”
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Finite element analysis of RC beams using static experimental data to predict static and dynamic behaviors by Arvindan Sivasuriyan, D. S. Vijayan, Naveen Sankaran, D. Parthiban

“…Additionally, dynamic analysis is conducted, and results are presented in 3D graphical format. …”
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Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis by Peiyao Ren, Wenhao Gui, Shan Liang

“…After processing the data using the midpoint approach estimation, the parameter estimates are obtained by two computational methods: the Newton–Raphson iteration method and the fixed-point method. …”
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Based on single-cell and transcriptome data, ferroptosis and the immunological landscape in osteosarcoma were discovered by Yingcun Jiang, Chao Song, Jiyuan Yan, Liang Luo, Silong Gao, Feng Jiang, Zhangchao Wei, Jinwen Chen, Zongchao Liu, Jianhua Ge

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A meta fusion model combining geographic data and twitter sentiment analysis for predicting accident severity by Areeba Naseem Khan, Yaser Ali Shah, Wasiat Khan, Amaad Khalil, Jebran Khan

“…Building on these developments, this study introduces an innovative approach ConvoseqNet to improve traffic accident prediction by integrating traditional traffic data with real-time social media insights, specifically using geographic data and Twitter sentiment analysis. …”
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Botnets’ similarity analysis based on communication features and D-S evidence theory by ZANG Tian-ning1, YUN Xiao-chun1, ZHANG Yong-zheng2, MEN Chao-guang1, CUI Xiang2

“…A potential hidden relationship may exist among different zombie groups.A method to analyze the relationship among botnets was proposed based on the communication activities.The method extracted several communication fea-tures of botnet,including the number of flows per hour,the number of packets per flow,the number of flows per IP and the packet payloads.It defined similarity statistical functions of the communication features,and built the analysis model of botnets relationship based on the advanced dempster-shafer（D-S） evidence theory to synthetically evaluate the simi-larities between different zombie groups.The experiments were conducted using several botnet traces.The results show that the method is valid and efficient,even in the case of encrypted botnet communication messages.Moreover,the ideal processing results is achieved by applying our method to analyze the data captured from the security monitoring platform of computer network,as well as compare with similar work.…”
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Identification of co‐localised transcription factors based on paired motifs analysis by Li Liu, Lu Han, Kaiyuan Han, Zheng Zhang, Haojiang Zhang, Lirong Zhang

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