Teachers Co-Designing and Enacting Elementary Data Science Curriculum through Connected Learning by Danielle Herro, Ibrahim Oluwajoba Adisa, Oluwadara Abimbade

“…Qualitative methodology guided the data analysis of observations, reflective journals, interviews, and curriculum artifacts. …”
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A user-friendly NoSQL framework for managing agricultural field trial data by Steven H. Wu, Tristan A. Mueller

“…This framework includes functions for non-technical users, including importing and exporting data, data integration and manipulation, and performing statistical analysis. …”
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Open-source geospatial technologies for census data mapping and visualization: The Romanian 2021 census by Andi M. LAZĂR, Florin IOSUB, Daniel URDĂ, Marius BUDILEANU

“…By aligning the census results with the EUROSTAT 1 km² population grid, this article offers a new perspective on demographic data, allowing for in-depth analysis of population dynamics even at the level of cities and counties. …”
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Communication Behaviour-Based Big Data Application to Classify and Detect HTTP Automated Software by Manh Cong Tran, Yasuhiro Nakamura

“…The method is examined with real outbound HTTP traffic data collected through a proxy server of a private network. …”
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On the relationship between internet usage and technological innovation: Insight from world panel data by Chukwuemeka Valentine Okolo, Andres Susaeta, David Iheke Okorie

“…The study identifies three possible channels through which higher internet usage increases technological innovation among different economies: (i) the level of education, (ii) the degree of financial development, and (iii) the level of investment. Our findings support data policies for R&D, such as tax incentives to encourage specialised digital innovation, skills, and knowledge production and dissemination. …”
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Data Synchronization Design of Driver Display Unit Based on MVB and Ethernet Redundant Communication by RAO Tiangui, WANG Yu, ZHANG Yi

“…This design method is effectively compatible with the MVB data exchange method, and ensures the consistency of MVB data processing and Ethernet data processing by using function overload, and effectively prevents data analysis errors; the pulse is processed in a unified way, and the multi type pulse transmission only needs simple configuration without coding, which improves the development efficiency; the perfect synchronization method effectively ensures the correctness of data synchronization. …”
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Exploring the integration of medical and preventive chronic disease health management in the context of big data by Yueyang Wang, Yueyang Wang, Ruigang Deng, Xinyu Geng

“…The analysis reveals significant regional disparities in implementation efficacy, with developed eastern regions demonstrating advanced closed—loop management via unified platforms, while western rural areas struggle with manual workflows and data fragmentation. …”
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VGOS Dual Linear Polarization Data Processing Techniques Applied to Differential Observation of Satellites by Jiangying Gan, Fengchun Shu, Xuan He, Yidan Huang, Fengxian Tong, Yan Sun

“…The developed data processing pipeline can serve as a foundation for future Earth-orbiting satellite observations, potentially supporting space-tie satellite missions aimed at constructing the terrestrial reference frame (TRF).…”
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A machine learning approach for multimodal data fusion for survival prediction in cancer patients by Nikolaos Nikolaou, Domingo Salazar, Harish RaviPrakash, Miguel Gonçalves, Rob Mulla, Nikolay Burlutskiy, Natasha Markuzon, Etai Jacob

“…To address this, a versatile pipeline using The Cancer Genome Atlas (TCGA) data was developed, incorporating various data modalities such as transcripts, proteins, metabolites, and clinical factors. …”
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Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

“…Two ANN architectures, Feedforward Backpropagation (FFBP) and Cascadeforward Backpropagation (CFBP), were developed and trained using 72 experimental data points extracted from the literature. …”
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Optimal data-driven strategy for in-house and outsourced technological innovations by open banking APIs by Vinicius Dezem, Swati Sachan, Marcelo Macedo, André Andrade Longaray

“…The sensitivity analysis revealed that hybrid in-house and outsourced development is more flexible in meeting tight timelines and budget constraints. …”
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A theory and data-driven method for rapid bottom hole pressure calculation in UGS by Yang Li, Haiwei Guo, Xianfeng Gong, Naixin Lu, Kairui Zhang

“…Finally, by integrating the wellbore flow equations under different well conditions, using theoretical models to generate samples, and establishing a loss function guided by real samples, a theory and data-driven neural network model (TDDNN) has been successfully developed, achieving rapid and accurate calculation of bottom hole pressure. …”
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Transcriptome data from the interdigital webs of the Chinese Soft-shell Turtle (Pelodiscus sinensis) by Shibin Bai, Shanshan Li, Yining Tang, Ziqiu Jia, Songyang Shang, David M. Irwin, Shuyi Zhang, Zhe Wang

“…These findings not only provide new perspectives and data to support comparative studies of adaptive convergent evolution in aquatic animals but also enhance our understanding of the mechanisms underlying tetrapod limb morphogenesis. …”
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Traffic–Tourism Spatial Interaction of Lai-Qu Expressway Based on the Traffic Flow Data by Yujian Gao, Long Bai, Shengqiang Liu, Hongjuan Zheng, Jie Liu, Jinxiang Cheng, Haiyuan Yao, Qing Zhao

“…The Lai-Qu Expressway is part of the Baoding section of the Taihang Mountain Expressway. Based on the data of traffic flow on the Lai-Qu Expressway, data of regional tourism resources, and data of regional economic and social development, this paper studies the interaction between the traffic and tourism space of the Lai-Qu Expressway by using spatial interaction, geographically weighted regression (GWR), and other geospatial analysis theories and methods. …”
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Risk factors of incident in-hospital pulmonary embolism and its outcomes: autopsy study data by O. Ya. Vasiltseva, I. N. Vorozhtsova, A. V. Krestinin, E. V. Stefanova, R. S. Karpov

“…Aim. Based on the autopsy data, to investigate the role of various risk factors (RFs) in the development of the incident cases of pulmonary thromboembolism (PTE) and their outcomes among the patients who died in Tomsk City hospitals (2003-2010). …”
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Open Case Studies: Statistics and Data Science Education through Real-World Applications by Carrie Wright, Qier Meng, Michael R. Breshock, Lyla Atta, Margaret A. Taub, Leah R. Jager, John Muschelli, Stephanie C. Hicks

“…As a solution, Nolan and Speed advocated for bringing applications to the forefront in undergraduate statistics curriculum with the use of in-depth case studies to encourage and develop statistical thinking in the classroom. Limitations to this approach include the significant time investment required to develop a case study—namely, to select a motivating question and to create an illustrative data analysis—and the domain expertise needed. …”
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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…Based on big data and machine learning techniques, the research on feature engineering and model fusion will bring about major changes in data analysis and modeling of anthropogenic heat. …”
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Evaluating ensemble models for fair and interpretable prediction in higher education using multimodal data by Felipe Emiliano Arévalo-Cordovilla, Marta Peña

“…The objective was to develop a robust predictive framework by integrating Moodle interactions, academic history, and demographic data using SMOTE for class balancing. …”
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Prediction method of sugarcane important phenotype data based on multi-model and multi-task. by Jihong Sun, Chen Sun, Zhaowen Li, Ye Qian, Tong Li

“…The aim was to establish an intelligent model ensemble for predicting two crucial phenotypic characteristics-stem diameter and plant height-that determine sugarcane yield, ultimately enhancing the overall yield.The experimental findings indicate that the XGBoost algorithm outperforms the other seven algorithms in predicting these significant phenotypic traits of sugarcane. Furthermore, an analysis of the sugarcane intelligent prediction model's performance under a specialized data environment, incorporating self-prepared data, reveals that the XGBoost algorithm exhibits greater stability. …”
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Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm by Xiaoliang Zhang, Tianwei Guo

“…With the rapid development of information technology and the advancement of medical informatization, medical big data plays an increasingly important role in diagnosis, treatment, health management, and other aspects. …”
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