Do you need a blockchain in healthcare data sharing? A tertiary review by Kun Li, Ashish Rajendra Sai, Visara Urovi

“…Discussion: Blockchain technology could significantly benefit healthcare data sharing, provided its application is carefully evaluated against tailored criteria for healthcare needs. …”
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Role of data literacy training for decision-making in teaching practice: a systematic review by Fabián Sandoval-Ríos, Fabián Sandoval-Ríos, Carla Gajardo-Poblete, Juan Antonio López-Núñez

“…Programs emphasizing real-world data applications and structured instructional support had the greatest impact on teachers’ confidence and ability to use data for pedagogical decision-making. …”
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Bibliometric cartography of data science: a large-scale analysis on knowledge integration and diffusion by Hongkan Chen, Jinchang Liu, Win-bin Huang, Yi Bu

“…Notably, the interdisciplinary nature of data science is twofold: it not only synthesizes technical innovations but also permeates multiple applied domains, where its application-driven orientation is reflected in domain-specific methodologies. …”
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Data-Driven Diagnostics for Pediatric Appendicitis: Machine Learning to Minimize Misdiagnoses and Unnecessary Surgeries by Deborah Maffezzoni, Enrico Barbierato, Alice Gatti

“…These models were trained using clinical, laboratory, and imaging data to predict three key outcomes: diagnosis accuracy, management strategy, and the likelihood of negative appendectomies. …”
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Semiparametric Transformation Models with a Change Point for Interval-Censored Failure Time Data by Junyao Ren, Shishun Zhao, Dianliang Deng, Tianshu You, Hui Huang

“…The method is further illustrated through an application to the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial data.…”
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Exploring the Intersection of Big Data and AI With CRM Through Descriptive, Network, and Contextual Methods by Dervis Ozay, Mohammad Jahanbakth, Shouyi Wang

“…As artificial intelligence (AI) continues to gain prominence, understanding its application in customer relationship management (CRM) has become increasingly critical. …”
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The Use of Padlet Application as a Reflection Tool for Science Teachers' Teaching Practice: A Mixed Methods Study by Sri Wahyuni, Wirawan Fadly

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Neutrosophic OWA-TOPSIS Model for Decision-Making in AI Systems with Large Volumes of Data by Juan Roberto Pereira Salcedo, Karla Melissa Ruiz Quezada, Edison Luis Cruz Navarrete, Pedro Manuel García Arias

“…The theoretical contribution to the academic literature expands notions of AI multi-criteria decision making process; the practical application lends itself to scalable possibilities within big data reliant cases, especially predictive sentiment analysis or resource allocation/optimization. …”
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Sensor-cloud data acquisition based on fog computation and adaptive block compressed sensing by Zhou-zhou Liu, Shi-ning Li

“…The emergence of sensor-cloud system has completely changed the one-to-one service mode of traditional wireless sensor networks, and it greatly expands the application field of wireless sensor networks. As the high delay of large-scale data processing tasks in sensor-cloud, a sensor-cloud data acquisition scheme based on fog computing and adaptive block compressive sensing is proposed. …”
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Estimation method of the cohesion degree for the users’ profiles of social network based on open data by Valentina A. Kataeva, Igor S. Pantyukhin, Igor V. Yurin

“…A tuple of characteristics of social network profiles is the data, collected for each user, stored in a structured form.The next step is the analysis of the collected information. …”
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A Design of Leaderless Formation Controller for Multi-ASVs with Sampled Data and Communication Delay by Wenxu Zhu, Guihua Xia, Xiangli Jiang

“…In this paper, a leaderless formation controller is proposed, where the issues of sampled communication and data transmission delays in formation are taken into consideration. …”
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Data and Knowledge Dual-Driven Creep Life Prediction for Austenitic Heat-Resistance Steel by Xiaochang Xie, Mutong Liu, Ping Yang, Zenan Yang, Chengbo Pan, Chenchong Wang, Xiaolu Wei

“…Traditional creep life prediction methods are generally difficult for researchers to fully consider the key factors affecting the creep performance, which limits their application in the research and development of new alloys. …”
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VRPR: A New Data Center Protocol for Enhanced Network Performance, Resilience, and Recovery by Muhammad Muzaffar Iqbal, Mohammad Daud Awan, Malik Sikander Hayat Khiyal, Rana Abu Bakar

“…There is an increasing demand for high-performance data center networks with resilient connectivity to support modern applications. …”
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Hybrid AI and Big Data Solutions for Dynamic Urban Planning and Smart City Optimization by Wei Zhu, Wei He, Qingsong Li

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A novel estimation of scientific and technological innovation index using multi-modal data by Yating Qiu, Zuoqi Chen, Chenru Zou, Xiaojun You

“…Thus, this study proposes a novel method to estimate the annual and monthly STI index at county level by fusing multi-modal data: NTL data and POI data. This method demonstrates robust performance with an R2 value of 0.81 and has a strong generalization capability. …”
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Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques by Raymond O. Kene, Thomas O. Olwal

“…To address this issue, this study presents data-driven modeling of EV charging sessions based on machine learning (ML) techniques. …”
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Reversible data hiding algorithm in encrypted images based on prediction error and bitplane coding by Haiyong WANG, Mengning JI

“…With the increasing use of cloud backup methods for storing important files, the demand for privacy protection has also grown.Reversible data hiding in encrypted images (RDHEI) is an important technology in the field of information security that allows embedding secret information in encrypted images while ensuring error-free extraction of the secret information and lossless recovery of the original plaintext image.This technology not only enhances image security but also enables efficient transmission of sensitive information over networks.Its application in cloud environments for user privacy protection has attracted significant attention from researchers.A reversible data hiding method in encrypted images based on prediction error and bitplane coding was proposed to improve the embedding rate of existing RDHEI algorithms.Different encoding methods were employed by the algorithm depending on the distribution of the bitplanes, resulting in the creation of additional space in the image.The image was rearranged to allocate the freed-up space to the lower-order planes.Following this, a random matrix was generated using a key to encrypt the image, ensuring image security.Finally, the information was embedded into the reserved space.The information can be extracted and the image recovered by the receiver using different keys.The proposed algorithm achieves a higher embedding rate compared to five state-of-the-art RDHEI algorithms.The average embedding rates on BOWS-2, BOSSBase, and UCID datasets are 3.769 bit/pixel, 3.874 bit/pixel, and 3.148 bit/pixel respectively, which represent an improvement of 12.5%, 6.9% and 8.6% compared to the best-performing algorithms in the same category.Experimental results demonstrate that the proposed algorithm effectively utilizes the redundancy of images and significantly improves the embedding rate.…”
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Land use classification through fusion of remote sensing images and multi-source data by Guo Zhiqian, Ren Yushui, Li Xin, Ma Kang, Qian Shujun

“…In the land classification problem, although the application of land data and remote sensing technology can provide a lot of data, the difference of data quality, data format, and data sources lead to the difficulty of land classification. …”
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Designing of a Simulation Tool for the Performance Analysis of Hybrid Data Center Networks (DCNs) by Muhib Ahmad, Farrukh Zeeshan Khan, Zeshan Iqbal, Muneer Ahmad, Ihsan Ali, Sultan S. Alshamrani, Muhammad Talha, Muhammad Ahsan Raza

“…Data center (DC) technology changes the mode of computing. …”
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IMPLEMENTATION OF THE BIDIRECTIONAL GATED RECURRENT UNIT ALGORITHM ON CONSUMER PRICE INDEX DATA IN INDONESIA by Andjani Ayu Cahaya Tanjung, Dewi Retno Sari Saputro, Nughthoh Arfawi Kurdhi

“…In the sliding window process, the number of segments is 194 data segments. Based on the experiment results, it was concluded that the application of BiGRU to the CPI data was carried out in an experiment with 20 BiGRU architectures. …”
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