Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges by Christian M. Mulomba, Vogel M. Kiketa, David M. Kutangila, Pescie H. K. Mampuya, Junior N. Mukenze, Landry M. Kasunzi, Kyandoghere Kyamakya, Tasho Tashev, Selain K. Kasereka

“…Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective interventions. …”
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Bias in data-driven replicability analysis of univariate brain-wide association studies by Charles D. G. Burns, Alessio Fracasso, Guillaume A. Rousselet

“…Abstract Recent studies have used big neuroimaging datasets to answer an important question: how many subjects are required for reproducible brain-wide association studies? These data-driven approaches could be considered a framework for testing the reproducibility of several neuroimaging models and measures. …”
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Pricing Strategy and Blockchain-Enabled Data Sharing in Cross-Border Port Systems by Huida Zhao, Chanjuan Liu

“…Additionally, while the differentiated pricing strategy is an equilibrium strategy for the inside border port, blockchain technology can enhance the economic benefits of the inside border port under certain conditions, which also demonstrates the commercial value of blockchain in data sharing. Moreover, the expansion of port capacity can reduce the congestion of the inside border port to some extent under specific conditions. …”
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Normalization of RNA-sequencing data from samples with varying mRNA levels. by Håvard Aanes, Cecilia Winata, Lars F Moen, Olga Østrup, Sinnakaruppan Mathavan, Philippe Collas, Torbjørn Rognes, Peter Aleström

“…Methods for normalization of RNA-sequencing gene expression data commonly assume equal total expression between compared samples. …”
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Analysing humanities scholars’ data seeking behaviour patterns using Ellis' model by Wenqi Li, Pengyi Zhang, Jun Wang

“…The study contributes to the conceptual growth of Ellis' model and expands its utility beyond the original information seeking contexts, indicating its potential applicability to data seeking. It also provides practical implications for system design and humanities data curation.…”
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Implikasi Hukum Akta Jual Beli Yang Tidak Ditandatangani di Hadapan Pejabat Pembuat Akta Tanah Sementara by Rilda Shofianingrum, Maman Sudirman

“…This research aims to examine the legal implications of the absence of the Temporary Land Deed Official (PPATS) in the process of signing land sale and purchase deeds and its impact on the validity of transactions. …”
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Global economic sanctions and export survival: Evidence from cross-country data by Ha Thanh Le

“…Research Design & Methods: While we employ the new data base of the Global Sanctions Data Base introduced by Felbermayr et- al. (2020), export survival rate is defined as the ratio of the number of survivors to the entrants. …”
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The Intersection of Race, Data, and Learning: Applying QuantCrit to Mathematics Education Research by Jamaal Young, Jemimah Young, Kristian Edosomwan

“…QuantCrit challenges the assumed neutrality of data interrogates deficit-based narratives and calls for the use of quantitative methods that advance social justice. …”
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Tracing the Displacement of Data Work in AI: A Political Economy of “Human-in-the-Loop” by Bidisha Chaudhuri, Srravya Chandhiramowuli

“… In this study, we trace the evolution of a data work team in an artificial intelligence (AI) startup in India. …”
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Geotechnical Characteristic Assessments of Floodplain Soils Using SCPTU Data in Nanjing, China by Mingfei Zhang, Liyuan Tong, Qiang Wang

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Generative AI chatbot for teachers’ data-informed decision-making: Effects and insights by Jiwon Lee and Jeongmin Lee

“…This study aimed to develop a generative AI chatbot to enhance teachers’ data literacy (DL) and data-informed decision-making (DIDM). …”
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Non-customized data asset evaluation based on knowledge graph and value entropy. by Wei Zhang, Yan Gong, Zhinan Li, Yuefeng Xu

“…The successful application of these cases confirms the model's effectiveness in supporting data-driven asset management and pricing. This framework provides a systematic methodology for data asset valuation, offering significant theoretical and practical implications for asset pricing and management.…”
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Irrigation Expansion and Rural Transformation in China: Evidence of Provincial Data in 1978–2018 by Pengfei Shi, Jikun Huang

“…Based on the statistical data from 27 provinces in China, this paper analyses the correlation between irrigation expansion and rural transformation over the period of 1978–2018. …”
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The Application of Machine Learning to Educational Process Data Analysis: A Systematic Review by Jing Huang, Yan Ping Xin, Hua Hua Chang

“…Educational process data offers valuable opportunities to enhance teaching and learning by providing more detailed insights into students’ learning and problem-solving processes. …”
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Multiplication of number and quality rise: data elements enable low-carbon innovation by Dongri Han, Ke Lu, Peisen Liu

“…These research conclusions have important implications for leveraging the role of data elements and accelerating the realization of low-carbon innovation-driven development.…”
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Diverse explanations from data-driven and domain-driven perspectives in the physical sciences by Sichao Li, Xin Wang, Amanda Barnard

“…This Perspective explores the sources and implications of these diverse explanations in ML applications for physical sciences. …”
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An Innovative Coded Language for Transferring Data via a Haptic Thermal Interface by Yosef Y. Shani, Simon Lineykin

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Entrepreneurship and Economic Freedom: Do Objective and Subjective Data Reflect the Same Tendencies? by Burak Erkut

“…Findings: To determine the degree of economic freedom in a country, the effective enforcement of intellectual property rights legislation and quick access to utilities are the two variables with the most informational content. 86,8% of the original grouped cases was classified correctly – this is above the widely accepted threshold of 75%. Implications & Recommendations: A new trend in entrepreneurial research is to build compound indices based on different data sources. …”
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Socialization of filling in SINTA data: Improving lecturers' research and publication track records by H. Hardani, Reny Amalia Permata, S. Syaidatussalihah, Alpiana Hidayatulloh, Dwi Monika Ningrum, Alpi Zaidah

“…The results of the activity showed that participants experienced an increase in understanding and skills in filling SINTA data by 86%, which had implications for increasing the visibility and academic track record of lecturers. …”
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Driving forces of informal employment: An empirical study based on Polish enterprise data by Dagmara Nikulin

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