The road to hell is paved with good intentions: the experience of applying for national data for linkage and suggestions for improvement by Sonya Crowe, Richard G Feltbower, Julie A Taylor, Rodney C Franklin, Ferran Espuny Pujol, Lee J Norman, James Doidge, Doug William Gould

“…However, getting to the point of having linked national data sets is challenging.Objective We describe our experience of the data application and linkage process for our study ‘LAUNCHES QI’, and the time, processes and resource requirements involved. …”
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Innovative methodological pillars for bibliometric studies: AI screening, data normalization and dual-tool analysis by Christos Stefanis, Elisavet Stavropoulou, Agathangelos Stavropoulos, Despoina Gyriki, Christos G. Nikolaidis, Vassilios Vassos, Evangelia Nena, Christina Tsigalou, Eugenia Bezirtzoglou

“…We propose and discuss four key methodological pillars: (i) formulation of precise research questions to guide design and metrics; (ii) the application of artificial intelligence (AI)-based tools for efficient and unbiased article screening; (iii) the normalization of research output data using economic indicators, such as gross domestic product, to improve cross-country comparisons and (iv) the use of dual-tool analysis—specifically VOSviewer and Biblioshiny—to validate bibliometric findings. …”
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Demand unconstraining estimation based on big data warehouse in revenue management systems:framework and challenges by Peng GUO

“…In order to achieve and exam the unconstrained demand data related to each customer in real time and dynamically from both internal and external data resources,including structured and unstructured information,a big data warehouse framework for demand unconstraining estimation in revenue management was proposed.After that,the challenges in unconstrained demand knowledge mining,as well as the process of development and application of business intelligence analysis tools for demand unconstraining estimation were discussed.…”
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Analyzing the Solar Energy Data Using a New Anderson-Darling Test under Indeterminacy by Muhammad Aslam, Ali Algarni

“…We present the designing and operating procedure of neutrosophic Anderson-Darling when the quality of interest follows the neutrosophic normal distribution. The application of the proposed test is given using data from the renewable energy field. …”
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A practical guide to apply AI in childhood cancer: Data collection and AI model implementation by Shuping Wen, Stefan Theobald, Pilar Gangas, Karina C. Borja Jiménez, Johannes H.M. Merks, Reineke A. Schoot, Marcel Meyerheim, Norbert Graf

“…However, the effective application of AI in childhood cancer requires strict adherence to regulatory and best practice guidelines for patient data preparation and AI model development. …”
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The Technological Integration of Big Data and the Body: A Phenomenological Analysis of the Evolution of Clinical Cognitive Paradigms by Lihui WANG

“…Through this approach, we can gain a more comprehensive understanding of how data technologies shape the life world and ensure the moral and equitable application of technology while respecting the diversity of life.…”
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Data Analytics and Machine Learning Models on COVID-19 Medical Reports Enhanced with XAI for Usability by Oliver Lohaj, Ján Paralič, Zuzana Paraličová, Daniela Javorská, Elena Zagorová

“…<b>Objective</b>—To identify effective data analytics and machine learning solutions that can help in the decision-making process in the medical domain and contribute to the understanding of COVID-19 disease. …”
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A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm by Tianli Wang, Yi Zhang, Haiyan Liu, Fei Li, Dayong Guo, Ning Cao, Yubin Zhang

“…Achieving on-site measurement of large-scale data is difficult, and effective nondestructive prediction methods are lacking. …”
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Comprehensive evaluation of the vector magnetic field data from Macau Science Satellite-1A by XinYi Rang, Chao Xiong, YuYang Huang, ChunYu Xu, FengJue Wang, BoHao Qian, Fan Yin, SiShan Song, Keke Zhang, PengFei Liu

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Research on the Low-voltage Distribution and Data Acquisition System ofAutonomous-rail Rapid Tram by CHEN Chaolu, LUO Huang, DONG Qiai, XIE Bin

“…A network distribution and data acquisition system based on intelligence low-voltage distribution module and CAN/ETH gateway was introduced together with its application through modular, network and integrated design method. …”
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Gaming the Data. How the Finnish School Audit Saved the Profession from New Public Management by Turunen Jaakko

“…The Finnish school audit produces data for educational policy development and the teachers’ own use. …”
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Statistical Analysis of COVID-19 Data: Using A New Univariate and Bivariate Statistical Model by Rashad A. R. Bantan, Shakaiba Shafiq, M. H. Tahir, Ahmed Elhassanein, Farrukh Jamal, Waleed Almutiry, Mohammed Elgarhy

“…Additionally, several actuarial measures are computed. The real data applications are carried out to underline the practical usefulness of the model. …”
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Improving the Information Security of Industrial Enterprises through the Automation of Data and Information Message Transmission Processes by Magomedrasul Buchaev, Prokhor Polyakov

“…The modular design of the device allows for adaptation to various application scenarios. The research results demonstrate that the proposed solution provides reliable and secure data transmission, enhancing the resilience of enterprises to modern cyber threats.…”
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Enhancing Vietnamese criminal law on personal data protection in cyberspace to foster cooperation with the European Union by Hong Nguyen Thi Anh, Thao Tran Thanh

“…By applying analytical-logical and comparative methods, this article aims to refine the provisions of Vietnamese criminal law on personal data protection in cyberspace. Starting by analyzing the provisions related to acts of personal data violation in cyberspace according to Vietnamese law and the shortcomings in their practical application, this article looks at European Union laws, specifically the General Data Protection Regulation and the Budapest Convention on Cybercrime. …”
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Multi-function supported privacy protection data aggregation scheme for V2G network by Baiji HU, Xiaojuan ZHANG, Yuancheng LI, Rongxin LAI

“…In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.…”
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Big data classification method of non relational distributed submission information under differentiated requirements by Lu HAN, Weiyu CHEN, Fei ZHANG, Jianfeng HE, Huaizhen SU

“…The classification method of non-relational distributed submitted information big data under the differentiated demand was studied, aiming at the problem of multi-source heterogeneous, widely distributed submitted information with more differentiated application requirements and inability to distinguish the available information.Firstly, the usability, openness and expansibility of the non-relational distributed submission information database were analyzed.The unstructured database storage TRIP was used to store non-relational distributed submission information by combining the basic requirements of field types.Then, the hashing process within the Hamming hash family was analyzed.Under the constraint of linearity level requirements, cellular automata with multiple attractors were used to optimize the system.The optimal parameters of the multiple attractor cellular automata classifier were improved through genetic algorithm, thus improving the big data classification method.Experimental results show that this method can effectively identify and classify structured data and unstructured data in non relational distributed submission information, and has high classification accuracy.…”
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A Fault Early Warning Method of Train BatteryBased on Real-time Network Data by XU Yong, LIU Yong, DAI Jisheng, ZHANG Shiqiang

“…In order to prevent the occurrence of locomotive failure and related devices cannot startup caused by battery failure, combining with work principle and power supply characteristics, an online fault early warning method of train battery based on real-time monitoring data and expert rule is proposed. Under the premise of not deploying additional sensors, the time evolution property of signals related to battery working states in the real-time MVB data is analyzed, based on which, the warning fault features are extracted and expert rule module is constructed. …”
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PHARMACOECONOMIC ANALYSIS OF THE USE OF OXALIPLATIN CHEMOTHERAPY FOR COLORECTAL CANCER.REAL (ACTUAL) CLINICAL PRACTICE DATA by A. V. Pavlysh, A. S. Kolbin, A. R. Kasimova

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Data Mining in Elite Beach Volleyball – Detecting Tactical Patterns Using Market Basket Analysis by Wenninger Sebastian, Link Daniel, Lames Martin

“…Use cases of our approach are shown by its application on the aggregated data for both genders and by analyzing the sequential patterns of a single player. …”
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Fertilizer Experimentation, Data Analyses, and Interpretation for Developing Fertilization Recommendations — Examples with Vegetable Crop Research by George Hochmuth, Ed Hanlon, Allen Overman

“…Fertilizer recommendations contain several important factors, including fertilizer form, source, application timing, placement, and irrigation management. …”
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