INSPIRE Datahub: A Pan-African Integrated Suite of Services For Harmonising Longitudinal Population Health Data Using OHDSI Tools. by Bhattacharjee, Tathagata, Kiwuwa-Muyingo, Sylvia, Kanjala, Chifundo, Maoyi, Molulaqhooa L., Amadi, David, Ochola, Michael, Kadengye, Damazo, Gregory, Arofan, Kiragga, Agnes, Amelia, Taylor, Greenfield, Jay, Slaymaker, Emma, Todd, Jim, INSPIRE Network8

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Fusion of IDC Operation Support System Design and Analysis by Huazhao Liu, Xuefeng Chen, Qian Yu

“…By the establishment of IDC space, network, cloud computing various levels of resource element model, fusion process, data, operation and service, a standard, and loosely coupled IT support fusion architecture was designed and built, which laid the foundation for IDC intensive operation. …”
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Operation Management Mode Based on New Media Technology by Peng Han

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New scientific methods to investigate library branch by N. A. Mazov, V. N. Gurejev

“…The attention is paid to own developments on application of the raw data taken from these DB, allowing in the automated mode to trace operatively the basic bibliometric indicators on a concrete person and organisation as a whole.…”
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Enhanced household energy consumption forecasting using multivariate long short-term memory (LSTM) networks with weather data integration by Aditya Pai H, Kritika Kumari Mishra, Mahesh T R, J V Muruga Lal Jeyan, Anu Sayal

“…This work initiates the application of Self-Supervised Learning (SSL) for preprocessing and enriching weather-related features from remote sensing data to enhance the predictive capability of the LSTM. …”
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Data on Swiss consumers’ perception of different types of sustainability levies, agriculture and willingness to choose suboptimal potatoes in different settingsZenodo by Jeanine Ammann, Gabriele Mack, Rita Saleh

“…Before collecting this data, ethical approval was obtained from the Agroscope ethical commission (application EK-AGS-2024-N-01).…”
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A Machine Learning‐Based Observation Operator for FY‐4B GIIRS Brightness Temperatures Considering the Uncertainty of Label Data by Yonghui Li, Wei Han, Wansuo Duan, Zeting Li, Hao Li

“…Additionally, the temperature and water vapor Jacobian computed by both models are comparable to those obtained from RTTOV, highlighting their potential for application as observational operator in satellite data assimilation for hyperspectral infrared sounder.…”
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Exploring Built Environment Visual Interactions: A SoftBIM Data-Driven Approach for a Database About the Outdoor View by Matteo Cavaglià, Alberto Speroni, Juan Diego Blanco Cadena, Andrea Giovanni Mainini, Tiziana Poli

“…Even when such metrics are available, their practical use as guiding tools in the design process is frequently obstructed by complex data interoperability procedures. These procedures are necessary to enable seamless data transfer across the multiple software environments involved in the design process. …”
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Regional Glacier Mapping and Change Analysis in the Gangshika Region of Qilian Mountain Based on Deep Learning and Satellite Data Time-Series by Lihao Chen, Wei Xu, Zhen Cao, Jiaqi Zhang, Zhizhong Kang

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Real-time earthquake magnitude prediction using designed machine learning ensemble trained on real and CTGAN generated synthetic data by Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan

“…This has a high potential for wide application in earthquake early warning systems.…”
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Assessing Building Seismic Exposure Using Geospatial Technologies in Data-Scarce Environments: Case Study of San José, Costa Rica by Javier Rodríguez-Saiz, Beatriz González-Rodrigo, Juan Gregorio Rejas-Ayuga, Diego A. Hidalgo-Leiva, Miguel Marchamalo-Sacristán

“…Despite this trend, seismic exposure assessments have predominantly focused on cities in high-income countries, leaving a knowledge gap in data-scarce, seismically active urban areas. This research presents a novel, scalable geospatial methodology for seismic exposure assessment in contexts with limited data availability and its application to San José, Costa Rica, evaluating its time and cost efficiency. …”
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Red cell distribution width and clinical outcomes in sepsis patients infected with Escherichia coli using data from MIMIC-IV by Kexiang Qin, Yingjie Su, Ning Ding

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Operation Management Mode Based on New Media Technology by Peng Han

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THE ORGANIZATION OF INTERLABORATORY COLLATING TESTS IN THE CENTRAL FACTORY LABORATORY OF THE OJSC «BSW – MANAGEMENT COMPANY OF HOLDING «BMC» by G. N. Voronina

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Exploration and Practice of Cloud Platform About Supporting Telecom Operators Intensive Management by Jingwei Yang, Lin Hu, Jinling Li, Zhiyong Liu

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Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…The data augmentation technique expands the original dataset through Gaussian noise. …”
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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…MethodsA total of 4.9 million posts were extracted from Facebook, Twitter, Reddit, and 16 online cancer-related forums. The textual data were preprocessed by natural language processing. …”
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Taipei Medical University Clinical Research Database: a collaborative hospital EHR database aligned with international common data standards by Tzu-Hao Chang, Hsuan-Chia Yang, Min-Huei Hsu, Chih-Wei Huang, Phung-Anh Nguyen, Chia-Te Liao, Christine Y. Lu, Jason C. Hsu

“…The dataset offers insights into disease prevalence, medication usage, laboratory tests and patient characteristics.Discussion TMUCRD stands out due to its unique advantages, including diverse data types, comprehensive patient information, linked mortality and cancer registry data, regular updates and a swift application process. …”
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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

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Integrative analysis of multi-omics data identified PLG as key gene related to Anoikis resistance and immune phenotypes in hepatocellular carcinoma by Xueyan Wang, Lei Gao, Haiyuan Li, Yanling Ma, Bofang Wang, Baohong Gu, Xuemei Li, Lin Xiang, Yuping Bai, Chenhui Ma, Hao Chen

“…This study provides novel insights into the molecular subtypes of HCC through the application of robust clustering algorithms based on multi-omics data. …”
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