Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations by Nicholas Tierney, Dianne Cook

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Disease signatures are robust across tissues and experiments by Joel T Dudley, Robert Tibshirani, Tarangini Deshpande, Atul J Butte

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Clustered Comparative Analysis of Security Sensor Discrimination Data by Neeraj Bhargava, Aakanksha Jain, Abhishek Kumar, Pramod Singh Rathore, Anuja Bansal

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Bank Loan Analysis using Data Mining Techniques by Thi-Nhi Trinh, Hoang-Diep Nguyen

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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…For years, researchers have been studying computer vision, i.e. the ability of artificial intelligence (AI) systems to perceive and interpret visual data like humans. …”
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Associations of dietary inflammatory index and composite dietary antioxidant index with erectile dysfunction and the mediating role of metabolic dysregulation: a cross-sectional analysis of NHANES 2001–2004 data by Lang Wang, Lang Wang, Can Wei, Can Wei, Junfeng Jing, Dawei Ni, Mingmin Shao, Jingxiong Chen, Wei Wu, Yanbin Zhang, Yanbin Zhang

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Comparative Analysis of Computational Times of Lithium-Ion Battery Management Solvers and Battery Models Under Different Programming Languages and Computing Architectures by Moin Ahmed, Zhiyu Mao, Yunpeng Liu, Aiping Yu, Michael Fowler, Zhongwei Chen

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Symptomatic progression-free survival as an emerging patient-centered endpoint in multiple myeloma: a secondary analysis of MagnetsiMM-3 trial data by Martin Kortüm, Sebastian Theurich, James Farrell, Graham Jackson, Gordon Cook, Joseph C. Cappelleri, Olivia Ashman, Shanti Neff-Baro, Aline Gauthier, Khalil Jewiti-Rigondza, Alaeddine Sidhom, Ashraf Chaudhary, Christof Scheid

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Hyperspectral Data Driven Solid Waste Classification by Gleb Mazanov, Anna Iliushina, Sergey Nesteruk, Andrey Pimenov, Anton Stepanov, Nadezhda Mikhaylova, Andrey Somov

“…In this research, we report on an approach based on hyperspectral cameras and consecutive data analysis in recycling plants for improve waste sorting processes in terms of waste detection and classification. …”
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SorpVision: A Comprehensive Dataset for Cementitious Sorptivity Analysis Powered by Computer Vision by Hossein Kabir, Jordan Wu, Sunav Dahal, Tony Joo, Nishant Garg

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Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus. by Devin Gaffney, J Nathan Matias

“…As researchers use computational methods to study complex social behaviors at scale, the validity of this computational social science depends on the integrity of the data. …”
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Urban Design Evolved: The Impact of Computational Tools and Data-Driven Approaches on Urban Design Practices and Civic Participation by Ahmet Gün

“…In this study, we examine the evolution of urban design by analyzing the roles of designers and citizen empowerment. Our analysis includes a literature review and semi-structured interviews with computational design experts. …”
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Urban Design Evolved: The Impact of Computational Tools and Data-Driven Approaches on Urban Design Practices and Civic Participation by Ahmet Gün

“…In this study, we examine the evolution of urban design by analyzing the roles of designers and citizen empowerment. Our analysis includes a literature review and semi-structured interviews with computational design experts. …”
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The interplay between lying, sitting, standing, moving, and walking on obesity risk in older adults: a compositional and isotemporal substitution analysis by Jana Pelclová, Jan Vindiš, Paulína Jašková, Karel Hron

“…Participants’ movement behaviours, including lying, sitting, standing, moving, and walking, were measured using accelerometers. The data were analysed using compositional data analysis (CoDA) and isotemporal substitution models to assess the impact of reallocating time between different activities on self-reported (BMI). …”
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Using Computational Methods to Explore Law in Sermons by Markus M. Totzeck, Valentin Fuchs

“…Clustering based on sentence embeddings helps identify semantically related sermon passages, although the complexity and length of the original texts, as well as the nuanced theological language, pose challenges to computer-aided analysis. By bridging historical and contemporary sermon analysis with data science methodologies, we demonstrate how an interdisciplinary approach can expand our understanding of how preachers address law, norms, and moral questions in Christian sermons. …”
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A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data by Saqib Rauf, Sami Ullah, Muhammad Adil Abid, Asad Ullah, Gullzar Khan, Ainee Urooj Khan, Gulzar Ahmad, Muhammad Ijaz, Sidra Ahmad, Sulaiman Faisal

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A discrete extension of the Lindley distribution for health and sustainability data: Theoretical insights and decision-making applications by Mahmoud El-Morshedy, Mohamed S. Eliwa, Abhishek Tyagi, Hend S. Shahen

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Compositional analysis of coffee containing javamide I/II and investigation of health effects in rats fed a high fat diet by Jae B. Park, Renee Peters

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Ergonomic analysis of gaming mouse using electromyography and subjective assessment by Rizqie Anandita Zafs, Slamet Riyadi, Kadek Heri Sanjaya, Yukhi Mustaqim Kusuma Sya’Bana, Nugrahaning Sani Dewi, Muqorob Tajalli, Sharfiden Hassen Yusuf

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Size-resolved Compositional Analysis and Source Apportionment of Submicron Aerosol during Lockdown Period Using HR-ToF-AMS by Prodip Acharja, Akash Vispute, Prasanna Lonkar, Suresh W. Gosavi, Sreyashi Debnath, Narendra G. Dhangar, Kaushar Ali, Gaurav Govardhan, Sachin D. Ghude

“…The aerosol composition data shows the predominant presence of organics (Org) in the mass fraction followed by sulfate, ammonium, nitrate, and chloride during the pre-lockdown and lockdown periods. …”
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