Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the Fire Influence on Regional to Global Environments and Air Qu... by Nicholas LaHaye, Anastasija Easley, Kyongsik Yun, Hugo Lee, Erik Linstead, Michael J. Garay, Olga V. Kalashnikova

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A Fusion Method Based on Physical Modes and Satellite Remote Sensing for 3D Ocean State Reconstruction by Yingxiang Hong, Xuan Wang, Bin Wang, Wei Li, Guijun Han

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Discovering customer segments through interaction behaviors for home appliance business by Youngjung Suh

Subjects: “…Big data applications…”
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The First Resolution of the Travelling Salesman Problem under Neutrosophic Octagonal Fuzzy Environment by Mariem Miledia, Taicir Loukilb, Souhail Dhouiba

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Framing diagnostic error: an epidemiological perspective by Montana Kekaimalu Hunter, Montana Kekaimalu Hunter, Montana Kekaimalu Hunter, Chithra Singareddy, Chithra Singareddy, Kenneth A. Mundt, Kenneth A. Mundt

“…Magnifying the challenge are the array of forms and definitions of diagnostic errors, and limited sources of data documenting their occurrence. In this narrative review, we outline a framework for improving epidemiological applications in understanding risk factors for diagnostic error. …”
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Li diffusion in plagioclase crystals and glasses – implications for timescales of geological processes by F. Pohl, H. Behrens, M. Oeser, F. Marxer, R. Dohmen

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New data, new results? How data sources and vintages affect the replicability of research by Iasmin Goes

“…These findings have two practical implications. First, researchers should always be transparent about their data sources and vintages. …”
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The need for climate data stewardship: 10 tensions and reflections regarding climate data governance by Stefaan G. Verhulst

“…This paper articulates 10 core tensions related to climate data and its implications for climate data governance, ranging from the diversity of data sources and stakeholders to issues of quality, access, and the balancing act between local needs and global imperatives. …”
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The Concept of Modern Asceticism According to Max Weber Perspective(Case Study of Asceticism and Its Implications in The Theological Study Program Of UKSW) by Tonny Ilham Prayogo, Syamsul Hadi Untung, Nurmala Indah, Nailatu Lutfiyah Sidqi, Shofia Ristiana Rahman, Nabila Hafitzah, Yesi Ameilia Pramesti, Aqila Thifal Khansa

“…This type of research is a literature review, the type of data collection is qualitative research, the research method is the study of Max Weber's thought figure, and the data analysis technique uses observation, interviews, and documentation. …”
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Social Determinants of COVID‐19 Pandemic Control: Participatory Learnings From Everyday Experiences in Cape Town, South Africa by Frederick Marais, Erna Louisa Prinsloo, Christi Niesing, Petra Bester

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Topological data analysis in air traffic management: The shape of big flight data sets. by Manuel Cuerno, Luis Guijarro, Rosa María Arnaldo Valdés, Fernando Gómez Comendador

“…This analysis serves as a proof of concept, showcasing the potential application of TDA in the ATM field. While previous works have outlined the general applicability of TDA in aviation, this paper marks the first comprehensive application of TDA to a substantial volume of ATM data. …”
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Network Analysis of Bulimia and Eating Behavior Regulation in Subclinical Population by Dana Rad, Radiana Marcu, Anca Dicu, Lavinia Denisia Cuc, Daniela Roman, Lucián Liviusz Olteanu, Mihaela Gavrila-Ardelean, Mihai Ioan Kunszabo, Liviu Gavrila-Ardelean

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Spatiotemporal dynamics of microcystin contamination in fish across the Lake Chaohu basin under the Yangtze River ten-year fishing ban: Ecological and human health implications by Shengpan Han, Wulai Xia, Jun He, Qianhui Wu, Wenli Xu, Jia Yu, Jun Chen, Ping Xie

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Artificial intelligence and predictive marketing: an ethical framework from managers’ perspective by Hina Naz, Muhammad Kashif

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CNC machining data repository: Geometry, NC code & high-frequency energy consumption data for aluminum and plastic machiningMendeley Data by Markus Brillinger, Muaaz Abdul Hadi, Stefan Trabesinger, Johannes Schmid, Florian Lackner

“…Data is often referred to as the ``oil of the future,'' playing a crucial role in various applications, including the training of machine learning models. …”
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The telecommunications customer service model based on big data and data fusion strategy research by Yongmei Gao, Chunhua Ju, Fuguang Bao

“…And also the analyzation of telecommunication data fusion and service mining application was made. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Objective: In this research, our goal is to develop a novel framework to mitigate prediction biases in LA caused by sample limitations and data heterogeneity. This framework integrates machine learning models to establish a universal solution for cross-domain LA estimation in data-scarce situations. …”
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Holistic Survey on Security in IoT Application Layer: Attacks, Protocols, and Applications by N. Sharmila Kumari, H. S. Vimala, C. N. Pruthvi, J. Shreyas

“…Context: The growing number of linked devices, the limitations of some IoT devices, worries about data privacy, risks to physical safety, and the ever-changing threats all highlight why it’s crucial to have strong security measures in the IoT application layer. …”
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Social Data Migration Concept: Analyzing Transborder Data Flows in the Post-Industrial Economy by Anu Masso, Andrew Grotto, Tracey P. Lauriault

“…It advocates embedding data studies within the framework of social transformation theory to transcend the distinction between theory and its empirical application across diverse social and cultural contexts. …”
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Exploring the practical framework for enterprise data assetization from the perspective of data elements evolution by Chen YANG, Xiaoyu LIU, Yuangang LI, Lingyi WEI

“…The assetization of data and the provision of high-quality data elements have amplifying, cumulative and multiplicative effects on empowering the real economy.Current research primarily focuses on theoretical frameworks and critical links of data assetization and lacks systematic thinking and systematic guidance in practical application.This paper introduced a practical framework for operational data assets, termed as the ＆quot;five-stage, six-dimensional＆quot; data assetization model, aiming to explore the scientific problem of “how can enterprises effectively configure and optimize enabling factors of various dimensions to systematically advance the process of data assetization”.By investigating the data products of enterprises in typical industries in Shanghai, the high-quality supply strategy of enterprise data elements was condensed.The applicability of this model in the process of enterprise data capitalization was explored and verified in practice, which provided practical basis for enterprise data capitalization.The formulation and instantiation of the model provide reference to promote the supply of high-quality data elements.…”
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