ADOPTION OF IOT AND BIG DATA IN SHAPING AND ENHANCING ORGANIZATIONAL CITIZENSHIP BEHAVIOR by Pooja Kanojia, Rupa Khanna Malhotra, Amit Kumar Uniyal, Tannupriya Chaudhary

“…This paper focuses on the effect of demographic dimensions of organizational citizenship behavior (OCB) on the faculty of the HEIs of North West India. A structured questionnaire was adopted by (Podsakoff. et. al. 2000) and was circulated online to gather data from 309 faculties of the HEIs of North West India. …”
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Deep Learning Joint Inversion of Electrical Data for Ahead-Prospecting in Tunneling by Peng Jiang, Benchao Liu, Chuanwu Wang, Lei Chen, Yuting Tang

“…Among various advanced forecasting techniques, the direct current method is more cost-effective and sensitive to water-bearing structures. It has been widely used in exploring water inrush disasters in practical engineering. …”
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Sociological and legal aspects of authentication in social networks through passport data by V. V. Popov, A. V. Erokhina, S. V. Cherkasova

“…The methodological and theoretical basis of the research is made up of particular and general scientific approaches to the study of this topic, formal logical and comparative methods, as well as methods of structural analysis were used.   In the course of the study, conclusions about the main features of storing citizens’ data, the complexity of storing data of Russians on foreign Internet platforms, conclusions on the need to filter information for minors were drawn, and also considered the phenomenon of deviant behavior among adolescents and the influence of information in social networks on their consciousness.…”
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Kartagener syndrome, current data on a classical disease. Case report. by Sandra Viviana Gómez-Correa, Iván David Ruiz-Ángel, Luis Carlos Salazar-Díaz

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Optimizing Data Filtering in Multi-Armed Bandit Algorithms for Reinforcement Learning by Zhang Shengshi

“…This study investigates the performance of data filtering algorithms in multi-armed bandit (MAB) problems for reinforcement learning applications. …”
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Bridge facility health detection method based on DATA random subspace by Xiaoyan Shen

“…Compared with other algorithms, the research algorithm has higher bridge data detection accuracy, with an average data detection accuracy of 95.84 % and an accuracy growth rate of 26.9 %. …”
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Construction, visualisation, and clustering of transcription networks from microarray expression data. by Tom C Freeman, Leon Goldovsky, Markus Brosch, Stijn van Dongen, Pierre Mazière, Russell J Grocock, Shiri Freilich, Janet Thornton, Anton J Enright

“…Network analysis transcends conventional pairwise approaches to data analysis as the context of components in a network graph can be taken into account. …”
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On the fidelity versus privacy and utility trade-off of synthetic patient data by Tim Adams, Colin Birkenbihl, Karen Otte, Hwei Geok Ng, Jonas Adrian Rieling, Anatol-Fiete Näher, Ulrich Sax, Fabian Prasser, Holger Fröhlich

“…Synthetic data without differential privacy (DP) maintained fidelity and utility without evident privacy breaches, whereas DP-enforced models significantly disrupted correlation structures. …”
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Research on the Coupled Representation of Model and Data Integration Guided by Metadata Sets by Y. Li, L. Huo, W. Zhu, P. Bao, M. Zhang, B. Li

“…The results show that this method integrates the expression of digital pipeline element models and data, solves the problems of silos, redundancy and conflicts of heterogeneous models and data from multiple sources, ensures the integrity of the attributes of the models and data elements, and promotes the structured expression and application of the models and data.…”
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Comprehensive dataset for performance evaluation of SCM-blended concreteMendeley Data by Weilin Liu, Huadong Mo, Chi King Lee

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The Impact of IoT Usage on Big Data Analytics and Supply Chain Integration by Çiğdem Şemsettin, Yildiz Bülent, Meidute-Kavaliauskiene Ieva, Cincikaite Renata

“…As industrial organizations use more technology, systems’ data production capacities improve. Thus, big data analytics (BDA) is becoming more critical. …”
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models by Mohammad Fahad, Nurullah Bektas

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Understanding Research Data Practices of Civil and Environmental Engineering Graduate Students by Xiaoju Chen, Emily Dommermuth, Jessica G. Benner, Rebecca Kuglitsch, Abbey B. Lewis, Matthew R. Marsteller, Katherine Mika, Sarah Young

“…This study uses semi-structured interviews and qualitative content analysis to explore how CEE graduate students work with data and practice data management in their research, as well as what resources and support would meet their needs. …”
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Imputasi Data Temperatur Maksimum Menggunakan Metode Support Vector Regression by Isa Kholifatus Sukhna, Brina Miftahurrohmah, Catur Wulandari, Putri Amelia

“…The choice of the SVR method is based on its ability to handle data with complex structures. Modeling is conducted separately for each station using the Radial Basis Function (RBF) kernel. …”
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Data-driven and physics-constrained acoustic holography based on optimizer unrolling by Pagavino Manuel, Zotter Franz

“…NAH obtains images of structural vibrations to analyze the underlying acoustic phenomena. …”
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Digital youth inclusion and the big data divide: examining the Scottish perspective by Alicja Pawluczuk

“…In the era of the ‘big data divide’, digital inclusion programmes should aim to enable young people’s critical digital abilities to continually review and respond to their positions within the power structures of the data society. …”
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Data-Driven Image-Based Protocol for Brain PET Image Harmonization by Eva Štokelj, Urban Simončič, for the Alzheimer’s Disease Neuroimaging Initiative

“…Quantitative FDG-PET brain imaging across multiple centers is challenged by inter-scanner variability, impacting the comparability of neuroimaging data. This study proposes a data-driven image-based harmonization protocol to address these discrepancies without relying on traditional phantom scans. …”
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Application of Digital Educational History Data to Predict the Risk of Student Failure by Tatyana Kustitskaya, Roman Esin, Alexey Kytmanov, Tatyana Zykova

“…The paper considers several variants of tasks of predicting learning success based on education data. An approach to solving these problems using digital educational history of students - multidimensional structured dynamically changing data on their educational activities and current learning outcomes - is proposed. …”
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Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing data. by Bo-Young Kim, Jung Hoon Park, Hye-Yeong Jo, Soo Kyung Koo, Mi-Hyun Park

“…Insertion and deletion (INDEL) mutations, the most common type of structural variance, are associated with several human diseases. …”
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Incentive Mechanism for Data Sharing in Smart Manufacturing Under the Industrial Internet by Jialiang Zhang, Xinxin Guo, Yongtao Peng

“…The mechanism addresses several key challenges in data sharing, including data silos among manufacturing devices, insufficient incentive structures, dynamic supply-demand imbalances under production task and equipment state constraints, and the high computational complexity of achieving global equilibrium in large-scale distributed systems. …”
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