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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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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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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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…To address the challenges of handling the dynamic load variations caused by the unpredictable nature and energy asymmetry of renewable energy sources in isolated microgrids, this study introduces a novel approach known as Learning-Enhanced Load Frequency Control (LE-LFC). …”
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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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Classification of Complex Power Quality Disturbances Based on Lissajous Trajectory and Lightweight DenseNet by Xi Zhang, Jianyong Zheng, Fei Mei, Huiyu Miao

“…To achieve a rapid response and highly accurate classification of power quality disturbances (PQDs), this paper proposes an efficient classification algorithm for PQDs based on Lissajous trajectory (LT) and a lightweight DenseNet, which utilizes the concept of Lissajous curves to construct an ideal reference signal and combines it with the original PQD signal to synthesize a feature trajectory with a distinctive shape. …”
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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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Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks by Alessandro Franco, Cecilia Pagliantini

“…Balancing electricity production and distribution remains a central challenge in modern energy systems, especially with the increasing penetration of renewable sources that introduce variability and uncertainty. …”
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Seasonal shifts in depth-to-water uptake by young thinned and overstocked lodgepole pine (<i>Pinus contorta</i>) forests under drought conditions in the Okanagan Valley, British Co... by E. C. Ellis, R. D. Guy, X. A. Wei

“…Our results support other findings by indicating that, although lodgepole pines are drought-tolerant and have dimorphic root systems, they do not shift back from deep water sources to shallow soil water when soil water availability increases following precipitation events at the end of the growing season.…”
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Classification of Red Foxes: Logistic Regression and SVM with VGG-16, VGG-19, and Inception V3 by Brian Sabayu, Imam Yuadi

“…This study conducts an evaluation of three deep learning architectures: Inception V3, VGG-16, and VGG-19, utilizing images of red foxes. The research employs Silhouette Graphs, Multidimensional Scaling (MDS), and t-Distributed Stochastic Neighbor Embedding (t-SNE) to assess clustering and classification efficiency. …”
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Identification and exploration of the potential antiaging role of the novel antioxidant peptide DGGY derived from yak milk proteins by Rubin Wang, Zhandu Danzeng, Jinyong Yang, Jiu Qu, Ruikai Zhu, Huanhuan Li, Honggang Tang, Caiyan Li, Ke Zhao

“…Because yak milk is a rich source of bioactive peptides due to its elevated protein composition, this study investigated yak milk-derived peptides with antioxidant properties and their potential antiaging mechanisms. …”
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Enhancing production rates at El Teniente's black cave mine through optimizing HF hole distribution using discrete fracture network modeling and geostatistical simulation methods by Amin Hekmatnejad, Fernando Manscilla, Paulina Schachter, Pengzhi Pan, Ehsan Mohtarami, Alvaro Pena, Abbas Taheri, Benoit Crespin, Francisco Moreno, Roberto Gonzales

“…This study at the Esmeralda Mine, part of the El Teniente Division of CODELCO, investigates optimizing hydraulic fracturing (HF) holes’ spatial distribution to improve rock material production in one of the world's largest copper-molybdenum deposits. Utilizing diverse data sources, including borehole, oriented borehole, and photogrammetry data, along with hang-up frequency and hydrofracturing details, we applied discrete fracture network (DFN) modeling to analyze in-situ block size distribution and fragmentation. …”
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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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