Modeling Bus Passenger Flow Dynamics Using the Cell Transmission Model for Real-Time Congestion Management by Ala Alobeidyeen

“…These contributions provide transit agencies with a computationally efficient tool for optimizing service frequency, mitigating crowding, and improving network resilience.…”
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Reinforcement Learning-Based Augmentation of Data Collection for Bayesian Optimization Towards Radiation Survey and Source Localization by Jeremy Marquardt, Leonard Lucas, Stylianos Chatzidakis

“…Maintaining the explainability while increasing the efficiency of the search has been found possible by including the high uncertainty data that is picked up while the agent is in transit. Now that the paths of transit matter to data acquisition they could be optimized as well. …”
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Fuzzy-Aided P–PI Control for Start-Up Current Overshoot Mitigation in Solid-State Lithium Battery Chargers by Chih-Tsung Chang, Kai-Jun Pai

“…During the initial start-up phase, as the charger transitions from constant-voltage to constant-current output mode, the use of proportional–integral control in the voltage and current loop error amplifiers may cause current overshoot during the step-rising phase, primarily due to the integral action. …”
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A Stray Current Sensor Based on an All-Side Cylindrical Spiral Fiber by Shao-Yi Xu, Fang-Fang Xing, Wei Li, Yu-Qiao Wang, Xiang-Hui Wang, Rui-Lin Wang

“…The temperature experiments are conducted to test the performance of the stray current sensor with reference to that without cylindrical spiral fiber, and the test results indicate that the measurement error of the proposed stray current sensor is not larger than 0.4%, which can be suited for the stray current measurement in an urban rail transit system.…”
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Investigation on Steady-State Thermal Performance of Gear Box Based on Thermal-Fluid-Solid Coupling by LIU Yi, ZHANG Kailin, SHAO Shuai, XIANG Hongxu

“…Moreover, the maximum relative error between the simulation results and the experimental values is 7.4%. …”
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Statistical Comparison between Pores and Sunspots during the Time Interval 2010–2023 by Yang Peng, Yu Fei, Nan-bin Xiang, Lin-hua Deng, Ting-ting Xu, Sheng Zheng, Shu-guang Zeng, Hai-yang Zhang, Shi-hu Liu

“…The main conclusions are as follows. (1) The steepness between the total magnetic flux and total area of transitional sunspots appears to be flattened in each phase of the observed solar cycles, and does not have a significant variation over the solar cycle. (2) For three groups of sunspots, the umbral physical parameters’ means and their correlations show only minor variations with the solar cycle, which are in error ranges. (3) As the mean umbral LOS magnetic field strength increases, the correlation of the umbral I – B _los increases. …”
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Prediction of Surface Deformation Induced by Ultra-Shallow-Buried Pilot Tunnel Construction by Caijun Liu, Xiangdong Li, Yang Yang, Xing Gao, Yupeng Shen, Peng Jing

“…A computational formula for horseshoe-shaped sections is derived and validated through field data from Kunming Rail Transit Phase I, demonstrating a 59% improvement in maximum settlement prediction accuracy (reducing error from 7.5 mm to 3.1 mm) compared to traditional methods. …”
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Traceable Calibration Method for Online Measurement System of Train Wheelset Profile Based on Neural Network by Enquan FANG, Jie QIN, Lili GENG

“…As one of the basic equipment for rail transit operation and maintenance in China, the online measurement system of train wheelset mainly measures the running state of train running parts, including wheelset profile, tread abrasion and axle temperature.The online measurement system of wheelset profile had been paid more and more attention because of its technical difficulty and its close relationship with wheel-rail dynamics. …”
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Navigating the Handover: Reviewing Takeover Requests in Level 3 Autonomous Vehicles by Joel Andrew Miller, Soodeh Nikan, Mohamed H. Zaki

“…Autonomous vehicles (AVs) represent a transformative advance in automotive technology, promising increased safety and efficiency by reducing human error. However, integrating human factors remains a critical challenge, especially during takeover scenarios where the human driver must re-assume control of the vehicle. …”
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Influence of Wheel-Rail Contact Point Changes on Force-Measuring Wheelset Measurement and the Compensation Method by CHEN Chunjun, DENG Qian

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Regional MRI Perfusion Measures Predict Motor/Executive Function in Patients with Clinically Isolated Syndrome by Efrosini Z. Papadaki, Panagiotis G. Simos, Vasileios C. Mastorodemos, Theodora Panou, Thomas G. Maris, Apostolos H. Karantanas, Andreas Plaitakis

“…On the set shifting condition of the respective task significant, positive associations were found between error rates and CBV values in the semioval center and periventricular NAWM bilaterally. …”
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Research on Machine Vision–Based Intelligent Tracking System for Maintenance Personnel by Yinglin Ma, Hongmei Shi, Yao Wang, Baofeng Li

“…Upon returning to the depot, rail transit vehicles require necessary maintenance. The working condition of train maintenance personnel directly impacts the safety of both staff and equipment. …”
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Cutaneous Manifestation Maple Syrup Urine Disease: Case Report by Gabriel Alejandro Díaz Bernal, Mányeles Brito Vázquez, Magdalena de la Caridad Guirado Espinosa

“…Maple syrup urine disease or leucinosis is caused by an inborn error in the metabolism of three essential branched chain amino acids. …”
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Neural-Augmented Hybrid Dynamic Modeling of a Series-Parallel Elastic Actuator by Timur Umurzakov, Sharafatdin Yessirkepov, Michele Folgheraiter

“…Outside this region, the system transitions to a Parallel Elastic Actuator (PEA), rigidly coupling the motor and gearbox shafts. …”
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Ventilation Modeling of a Hen House with Outdoor Access by Hojae Yi, Eileen Fabian-Wheeler, Michael Lee Hile, Angela Nguyen, John Michael Cimbala

“…The simulations of four ventilation scenarios predict the measured air flow velocity with an error of less than 50% for three of the scenarios, and the simulations predict temperature with an error of less than 6% for all scenarios. …”
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Leveraging deep learning for risk prediction and resilience in supply chains: insights from critical industries by Waleed Abdu Zogaan, Nouran Ajabnoor, Abdullah Ali Salamai

“…In the food and automotive sectors, the GRU model had the lowest mean absolute error and mean squared error, while the ANN model performed best in predicting electricity demand. …”
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A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations by V. Murugesh, M. Priyadharshini, Yogesh Kumar Sharma, Sultan Mesfer Aldossary, Shakti Kundu, Saksham Malik, Kedir Botamo Adem, Arshad Hashmi

“…The method utilises local error estimates to refine the solution domain, adapting to the solution characteristics: fine refinement is used in areas of steep gradients, discontinuities, and fuzzy transitions, while coarse refinement is used everywhere else. …”
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Decadal changes in water transparency of lakes in the middle and lower reaches of the Yangtze River: Trends and implications by Zhou Wang, Fei Xiao, Miaomiao Chen, Jiahuan Luo, Shuhui Cao, Qi Feng

“…The model achieved an average absolute error of 13.4 cm, a root mean square error of 17.9 cm, and a coefficient of determination (R2) of 0.712.From 2013 to 2023, Zsd maps revealed significant seasonal fluctuations in transparency. …”
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Experimental Evaluation of Multi- and Single-Drone Systems with 1D LiDAR Sensors for Stockpile Volume Estimation by Ahmad Alsayed, Fatemeh Bana, Farshad Arvin, Mark K. Quinn, Mostafa R. A. Nabawy

“…The multi-drone system achieved an average volumetric error of 1.3%, similar to the single drone with a static sensor, but with less than half the flight time. …”
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Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000–2019) by Daniel Adane, Assefa Andargie Kassa, Berhanu Abebaw Mekonnen, Rahel Mulatie Anteneh, Chalachew Yenew, Meron Asmamaw Alemayehu, Tilahun Degu Tsega, Sintayehu Simie Tsega, Almaw Genet Yeshiwas, Abathun Temesegen, Habitamu Mekonen, Amare Genetu Ejigu, Abraham Teym, Gashaw Melkie Bayeh, Getaneh Atikilit, Tesfaneh Shimels, Wolde Melese Ayele, Ahmed Fentaw Ahmed, Birhanemaskal Malkamu, Wondimnew Desalegn Addis, Getasew Yirdaw, Chalachew Abiyu Ayalew, Kalaab Esubalew, Zeamanuel Anteneh Yigzaw

“…Objective Ethiopia, the second most populous country in Africa, faces significant demographic transitions, with fertility rates playing a central role in shaping economic and healthcare policies. …”
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