Micro-Mobility Safety Assessment: Analyzing Factors Influencing the Micro-Mobility Injuries in Michigan by Mining Crash Reports by Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile

“…Subsequently, the Random Forest classification algorithm was utilized to pinpoint the primary factors and their interactions that affect the severity of micro-mobility injuries. …”
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CeiTEA: Adaptive Hierarchy of Single Cells with Topological Entropy by Bowen Tan, Shiying Li, Mengbo Wang, Shuai Cheng Li

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2^nd^ Swiss Vasopressin Consensus: Vasopressin in Septic Shock and other Vasodilatory States by Karim Bendjelid, Tiziano Cassina, Luca Cioccari, Gabor Erdoes, Raymond Friolet, Lucas Liaudet, Peter Steiger, Martin Siegemund

“…A structured treatment algorithm for the early use of vasopressin -- before the onset of catecholamine-refractory shock -- is presented. …”
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Cancer Diagnosis Optimization With a Combination of Flexible THz Antennas and Machine Learning by M. Senthil Pandian, S. Deepa Nivethika, J. Idhikash, Vamsee N. Yashwanth, Aishwarya Shaji, Prabhakaran Paulraj

“…Bridging this gap, THz research offers a promising solution, utilizing nonionizing terahertz radiation to achieve superior resolution. …”
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An introduction of the Three-Dimensional Precipitation Particle Imager (3D-PPI) by J. Shi, X. Liu, X. Liu, L. Liu, L. Liu, L. Liu, P. Wang

“…This demonstrates its potential application in atmospheric science, polar research, and other fields.</p>…”
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Air pressure forecasting for the Mutriku oscillating‐water‐column wave power plant: Review and case study by Jorge Marques Silva, Susana M. Vieira, Duarte Valério, João C. C. Henriques, Paul D. Sclavounos

“…A Least Squares Support Vector Machine (LS‐SVM) algorithm was developed to predict the air chamber pressure and compare it to the real signal. …”
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Identifying key risk factors of polycyclic aromatic hydrocarbons and benzene exposure in Korean adult males using machine learning approaches by Haewon Byeon

“…Methods: Isolation Forest, a machine learning algorithm specialized in anomaly detection, was employed to identify key variables influencing urinary biomarkers such as 1-Hydroxypyrene, 2-Hydroxynaphthalene and trans-Muconic acid. …”
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Propagating information content: an example with advection by D. D. Turner, M. P. Cadeddu, J. M. Simonson, J. M. Simonson, J. M. Simonson, T. J. Wagner

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Optimized Machine Learning Models for Enhanced Stock Market Predictions: A Case Study on the SSE Index by Vahid Babazadeh, Ahmad Faramarzi, Ali Rahnamaei

“…This study aims to introduce a machine learning-based model for Shanghai Stock Exchange Index (SSE) index prediction. In this research, three optimizers—the Genetic algorithm, the Artificial Bee Colony, and the Aquila optimizer—were chosen to modify the parameters of the chosen model to assess how well Adaptive Boosting performed in stock price prediction. …”
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Multi-stage Optimization Forecast of Short-term Power Load Based on VMD and PSO-SVR by Wenwu LI, Qiang SHI, Dan LI, Qunyong HU, Yun TANG, Jinchao MEI

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Enhanced Classification of Ear Disease Images Using Metaheuristic Feature Selection by Murat Ekinci, Furkancan Demircan, Zafer Cömert, Eyup Gedikli

“…To enhance classification accuracy, a Histogram of Oriented Gradients (HOG) was employed for feature extraction and optimization algorithms were utilized for feature selection. The Whale Optimization Algorithm (WOA) effectively selected informative features for the k-Nearest Neighbors (kNN) model, achieving a classification accuracy of 92.6%. …”
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Estimation of Solar Diffuse Radiation in Chongqing Based on Random Forest by Peihan Wan, Yongjian He, Chaoyu Zheng, Jiaxiong Wen, Zhuting Gu

“…Solar diffuse radiation (DIFRA) is an important component of solar radiation, but current research into the estimation of DIFRA is relatively limited. …”
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Automatic depersonalization of confidential information by N G. Babak, L. Yu. Belorybkin, S. A. Otsokov, A. T. Terenin, A. I. Shabrova

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Lightweight Detection of Train Underframe Bolts Based on SFCA-YOLOv8s by Zixiao Li, Jinjin Li, Chuanlong Zhang, Huajun Dong

“…Even in the absence of sufficient real underframe bolt images, the algorithm enables the trained network to better adapt to real environments, improving bolt recognition accuracy and detection speed, thus providing technical references and theoretical support for subsequent related research.…”
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LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection by Kamal Chandra Paul, Chen Chen, Yao Wang, Tiefu Zhao

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Direct Torque Control with Space Vector Modulation (DTC-SVM) with Adaptive Fractional-Order Sliding Mode: A Path Towards Improved Electric Vehicle Propulsion by Fatma Ben Salem, Motab Turki Almousa, Nabil Derbel

“…In fact, the paper proposes using an adaptive approach to control the electric vehicle’s speed based on the fractional calculus of sliding mode control. The adaptive algorithm converges to the actual values of all system parameters. …”
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Improving the streamflow prediction accuracy in sparse data regions: a fresh perspective on integrated hydrological-hydrodynamic and hybrid machine learning models by Saeed Khorram, Nima Jehbez

“…This requires the ADPSO algorithm for parameter calibration, which elongates the computation time. …”
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Development of 6D Electromagnetic Actuation for Micro/Nanorobots in High Viscosity Fluids for Drug Delivery by Maki K. Habib, Mostafa Abdelaziz

“…This research focuses on the development, design, implementation, and testing (with complete hardware and software integration) of a 6D Electromagnetic Actuation (EMA) system for the precise control and navigation of micro/nanorobots (MNRs) in high-viscosity fluids, addressing critical challenges in targeted drug delivery within complex biological environments, such as blood vessels. …”
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Statistical thermal study of ternary hybrid nanofluid flow in coaxial cylinder: artificial neural network approach by s Manjunatha, Khalil Ur Rehman, Wasfi Shatanawi, Tanuja T N

“…The key outcome of this research is that, the temperature upsurges by increasing the solid volume of nanoparticle due to higher thermal conductivity of the nanoparticles. …”
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Coasting-cruising Combined Control Strategy Based on Train Energy-efficient Operation by GAO Hao, CHAI Juan, LING Xiaoque, XU Haigui

“…Method Building on existing train operation control strategies, the research approach for the coasting-cruising combined control strategy is introduced. …”
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