A Data Engineering Framework for Ethereum Beacon Chain Rewards: From Data Collection to Decentralization Metrics by Tao Yan, Shengnan Li, Benjamin Kraner, Luyao Zhang, Claudio J. Tessone

“…In addition, we apply decentralization metrics such as the Shannon entropy, Gini Index, Nakamoto Coefficient, and Herfindahl-Hirschman Index (HHI) to showcase the dataset’s utility in studying decentralization trends. Publicly available on Harvard Dataverse and accompanied by open-source analytical tools on GitHub, this dataset facilitates future research aimed at enhancing blockchain systems’ decentralization, security, and efficiency.…”
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Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks by Revaldi Rahmatmulya, Agung Teguh Wibowo Almais, Mokhamad Amin Hariyadi

“…To address this issue, this research proposes a system capable of performing segmentation to determine the level of building damage post-natural disaster using convolutional neural network methods. The data utilized consists of aerial images sourced from xView2: Assess Building Damage, comprising 50 aerial images with 5 classes: no-damage, minor-damage, major-damage, destroyed, and unlabeled. …”
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Leveraging the process mining technique to optimize data preparation time in a database used as an automated data delivery center by Seyed Hossein Abrehdari

“…The study explored the various stages involved in the preparation, delivery, and processing of a database containing almost 900 earthquake waveform records (considered big data) by utilizing process mining techniques. The data were gathered from a region spanning 388,111.5 km², located between 44°–51°E and 38°–42.5°N, over the period from 1999 to 2018, and sourced from the USGS. …”
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Application of VGG16 in Automated Detection of Bone Fractures in X-Ray Images by Resky Adhyaksa, Bedy Purnama

“…The training and testing phases utilized an 80:20 split of the data, employing binary cross-entropy as the loss function and the Adam optimizer for efficient weight updates. …”
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A scoping review of artificial intelligence applications in clinical trial risk assessment by Douglas Teodoro, Nona Naderi, Anthony Yazdani, Boya Zhang, Alban Bornet

“…AI techniques, including traditional machine learning, deep learning (e.g., graph neural networks, transformers), and causal machine learning, are used for tasks like adverse drug event prediction, treatment effect estimation, and phase transition prediction. These methods utilize diverse data sources, from molecular structures and clinical trial protocols to patient data and scientific publications. …”
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Modernization of the Feed Water Regenerative Heating System in the “PT-60” Steam Turbine Unit Cycle by V. V. Yanchuk, V. N. Romaniuk

“…It is possible to use heat flows with various heat carriers as AHP drive, those are required for the transfer of thermal energy from a cold source to a hot receiver. In this paper, using the example of the “PT-60” steam turbogenerator unit, which is the most common type for CHP plants of the Belarusian power system, the indicators of the primary fuel use efficiency growth at the CHP plant for the AHP with a steam drive are determined. …”
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Therapeutic potential of medicinal plants for the management of renal stones: A review by Mohammed I. Rasool, Tariq H. Mousa, Hayjaa M. Alhamadani, Ahmed H. Ismael

“…Recently, despite the emergence of modern drugs, medicinal plants have been recognized and utilized in many nations clinically due to their safety profile, efficiency, cultural acceptance, and fewer side effects than approved drugs. …”
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Deep representation learning enables cross-basin water quality prediction under data-scarce conditions by Yue Zheng, Xiaoran Zhang, Yongchao Zhou, Yiping Zhang, Tuqiao Zhang, Raziyeh Farmani

“…A deep learning model is proposed that utilizes representation learning to capture knowledge from source river basins during the pre-training stage, and incorporates meteorological data to accurately predict water quality. …”
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User Satisfaction Level of The SiCepat Proof of Delivery Website Using The Pieces Framework Method by Priatno, Dearsalva Sudrajat, Muhammad Ridwan Effendi

“…The results of this research show that the Proof Of Delivery SiCepat website received an average score of 4.30 which shows that users are very satisfied in using the Proof Of Delivery SiCepat website as a media source of information.…”
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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

“…And a Spark-based multiple submodels parallel support vector machine is proposed. By introducing open-source tools such as OpenCV, image feature extraction can be performed on large-scale video data. …”
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Integrated Marketing Communication Effectiveness Valuation Tools: A Thirty-Year Bibliometric Analysis by A. Zh. Orazayev, V. Garkavenko

“…This scientific study aims to conduct a bibliometric analysis of scientific literature on evaluating the effectiveness of IMC, in order to identify key theoretical and methodological approaches, dominant thematic areas, and the evolution of metrics from 1991 to 2021. The study utilizes bibliometric analysis with the Bibliometrix tool in the R environment and a sample of 320 publications from the Scopus database as its source base. …”
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Design, Development, and Testing of Microplanar Coil-Based Hydrokinetic Electromagnetic-Type Energy Harvester for IoT Sensors by Iftikhar Ahmad, Maryam Abbas, Muhammad Iqbal, Ahmed M. Abdelrhman, Subramanian Chithambaram, Syed Asad Imam, Mahmood Hammad, Muneeb Ullah Anjum

“…These WSNs use batteries as the sole power source which has numerous problems such as limited shelf life, require charging points, deep discharge, and sensitivity to temperature, and require periodic replacement and recharging. …”
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The Influence of the working fluid and Regenerator material on the Performance of the types Gamma Stirling Engine by yahya abbas, Ali A. F. Al-Hamadani

“…From the results, stainless steel, copper, and aluminium regenerators produced 583 W, 562 W, and 553 W, respectively. When nitrogen is utilized at 500 °C, the engine generates 11 N.m of torque compared to 8.5 N.m when air is used, and the engine has a thermal efficiency of 19% compared to 15% when air is used. …”
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From Analysis to Classification: Automation of Residential Building Classification Using GIS Tools by Mara Vogrinec, Simon Koblar, Alenka Fikfak, Janez P. Grom

“…The development process utilized PostgreSQL with the PostGIS extension for data processing and QGIS for visualization, ensuring accessibility through open-source software. …”
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IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…Testing was conducted on two widely used open-source IKE protocol implementations, strongSwan and Libreswan, resulting in the revelation of 4 undisclosed vulnerabilities. …”
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Design of an Interleaved Boost Serial Resonant Converter With High Transformation Ratio for Fuel Cell Battery by Sen-Tung Wu, Jun-Teng Hong, Ching-Chun Chuang

“…This feature improves efficiency by reducing losses caused by the hard switching of traditional circuits. …”
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Cloud-Based Internet-of-Things System for Long-Term Bridge Bearing Monitoring Using Computer Vision by Gunhee Kim, Junsik Shin, Jongbin Won, Jongwoong Park

“…The system features an event-driven power mechanism to minimize energy consumption and utilizes vision-based displacement measurement techniques, providing both portability and efficiency. …”
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GC-MT: A Novel Vessel Trajectory Sequence Prediction Method for Marine Regions by Haixiong Ye, Wei Wang, Xiliang Zhang

“…The predictive capability of the proposed method demonstrates its effectiveness in improving maritime navigation safety in a shipping environment with multiple information sources.…”
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Deep Water Subsea Energy Storage, Lessons Learned from the Offshore Oil and Gas Industry by Rasmus Juhlin, Alexander H. Slocum, Mohsen Assadi

“…In a future where a large portion of power will be supplied by highly intermittent sources such as solar- and wind-power, energy storage will form a crucial part of the power mix ensuring that there is enough flexibility in the system to cope with the intermittency. …”
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Stochastic carbon footprint tracing for power systems with uncertainty by Jiashuo Hu, Mengge Shi, Xiao‐ping Zhang, Youwei Jia

“…Abstract The increasing penetration of distributed energy resources (DERs) and renewable energy sources (RESs) requires more granular analysis for accurate carbon footprint tracing. …”
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