Experimental and Numerical Investigation into Formation of Metro Wheel Polygonalization by Wubin Cai, Maoru Chi, Gongquan Tao, Xingwen Wu, Zefeng Wen

“…More than 70% of metro wheels exhibit 6th–8th harmonic-order polygonal wear; the excitation frequency of the polygonal wear is located in the 50–70 Hz interval at an operating speed of 65–75 km/h. To determine the root cause of the polygonal wear, a dynamic train behavior test is conducted immediately after wheel reprofiling. …”
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Optimization of four-diode equivalent circuit models for solar cells: Analytical formulation and performance enhancement by Martin Calasan, Snezana Vujosevic, Mohammed Alruwaili, Moustafa Ahmed Ibrahim

“…In addition, the models were experimentally verified using a laboratory-scale ET 250 photovoltaic training system, further confirming their precision and applicability under real-world operating scenarios. …”
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An Innovative Indoor Localization Method for Agricultural Robots Based on the NLOS Base Station Identification and IBKA-BP Integration by Jingjing Yang, Lihong Wan, Junbing Qian, Zonglun Li, Zhijie Mao, Xueming Zhang, Junjie Lei

“…This study proposes an innovative indoor localization algorithm based on the base station identification and improved black kite algorithm–backpropagation (IBKA-BP) integration to address the problem of low positioning accuracy in agricultural robots operating in agricultural greenhouses and breeding farms, where the Global Navigation Satellite System is unreliable due to weak or absent signals. …”
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Design of Constant Speed Controller for Hydraulic Retarder Based on Robust Control by Pengxiang Song, Ao Meng, Yang Ding

“…Simulation results indicate that the high-frequency controller exhibits remarkable robustness against dynamic disturbances within the system. Additionally, when variations in vehicle mass and road gradient occur, the root mean square error of the high-frequency controller’s speed, in comparison to the fuzzy controller, decreases by 0.1157 km/h, while the maximum absolute error in vehicle speed diminishes by 0.248 km/h. …”
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TLP-Supported NREL 5MW Floating Offshore Wind Turbine Tower Vibration Reduction Under Aligned and Misaligned Wind-Wave Excitations by Paweł Martynowicz, Piotr Ślimak, Georgios M. Katsaounis

“…The current research results may be used to design a full-scale semi-active or hybrid TVA system serving a TLP-supported floating offshore wind turbine structure.…”
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Study on the Structural Optimization of Diffuser Guide Vanes for LNG High-Pressure Pump Expander by YANG Linchun

“…The guide vanes of the high-pressure pump at the Jingtang LNG receiving station frequently fail， potentially generating metal fragments that threaten the safety of downstream systems.In order to extend the service life of the guide vanes， ANSYS software was used to establish a model and conduct strength simulation calculations and fatigue simulation analysis on the diffuser guide vanes of the high-pressure pump.Results showed that cracks or fractures were more likely to occur near the hub of the impeller blades， with an increased risk of fatigue fracture at the root of the inlet edge.By changing the material from cast aluminum to forged aluminum 6061-T6， the mechanical properties were significantly improved.Additionally， it was found that when the thickness of the guide vane was increased from 3.5 mm to 5.0 mm， the membrane plus bending stress at the root was reduced by 40%to 50%.Enlarging the root fillet of the guide vane effectively reduced stress concentration，thereby decreasing the risk of crack initiation and significantly enhancing the fatigue resistance of the blade.Based on engineering application data， these improvements effectively resolved the operational issues encountered in the LNG high-pressure pump， enhancing its reliability and safety， and ensuring the stable operation of the LNG transmission system.…”
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Evaluation of the Ideal Horizontal X-Ray Beam Angulation to Accurately Identify Two Separate Canals in Maxillary First Premolars—A Retrospective Clinical Study Using Cone-Beam Comp... by Benedikt Schneider, Luisa Klinkhamels, Wilhelm Frank, Constantin von See, Jörg Philipp Tchorz

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Intelligent Alarm Analysis for Fault Diagnosis and Management in Nuclear Power Plants by Wei Li, Kunze Yang, Ming Yang, Jipu Wang, Sijuan Chen

“…Traditional alarm systems often fall short in identifying the root causes of faults, especially in complex, multi-fault situations. …”
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Residual Life Prediction of Pneumatic Control Valves Based on Trans-TCN-GRU Modeling by Guoning Li, Jinjin Chen, Yongting Tao, Anxu Li, Xinwang Zhang

“…Control valves, as key actuating components in process industrial systems, are widely used in major industrial fields such as coal chemical, petrochemical, and nuclear power. …”
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SHERA: SHAP-Enhanced Resource Allocation for VM Scheduling and Efficient Cloud Computing by Ashwin Singh Slathia, Abhiram Sharma, P. B. Krishna, Saksham Anand, Ayush Rathi, Linda Joseph, Xiao-Zhi Gao

“…In order to forecast and maximize the energy efficiency in cloud systems, this paper presents a machine learning based methodology. …”
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FORECASTING STOCK PRICES FOR MARITIME SHIPPING COMPANY IN COVID-19 PERIOD USING MULTIVARIATE MULTI-STEP MULTI-STEP CONVOLUTIONAL NEURAL NETWORK - BIDIRECTIONAL LONG SHORT-TERM MEMO... by Ahmad GHAREEB, Mihai Daniel ROMAN

“…Prediction accuracy can be assessed by incorporating four metrics into the system: Root Mean Square Error, Mean Absolute Error, Mean Absolute Percentage Error, and Median Absolute Percentage Error. …”
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Experimental investigation of shaft misalignment effects on bearing reliability through vibration signal analysis using machine learning and deep learning by Fransiskus Tatas Dwi Atmaji, Jamasri, Hari Agung Yuniarto, I Made Miasa

“…Bearing failures account for approximately 40–70% of malfunctions in rotating machinery, with shaft misalignment recognized as a critical yet underexplored root cause of these failures. Despite its practical importance, the direct impact of parallel shaft misalignment on bearing fault prediction remains unaddressed, mainly in the existing literature. …”
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Evaluation of Biochemical Methane Potential and Kinetics of Organic Waste Streams for Enhanced Biogas Production by Rodolfo Llanos-Lizcano, Lacrimioara Senila, Oana Cristina Modoi

“…The biochemical methane potential (BMP) of each sample was evaluated using an automatic methane potential system (AMPTS). Operating parameters such as pH, temperature, total solids, and volatile solids were measured. …”
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Occurrence of C-Shaped Canal in Mandibular First and Second Molars in the Erbil Population using Cone Beam Computed Tomography by Rasti Omar Sedeeq, Raid Fahim Salman

“…Background and objective: Anatomy of the root canal system and determining the number and form of the canals are the most important steps for successful root canal therapy without post-operative complications. …”
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Assessing Geometry Perception of Direct Time-of-Flight Sensors for Robotic Safety by Jakob Gimpelj, Marko Munih

“…Quantitative metrics including the root mean square error, mean absolute error, area difference, and others were used to evaluate measurement accuracy. …”
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Development of Green Fluorescent Protein-Tagged Strains of <i>Fusarium acuminatum</i> via PEG-Mediated Genetic Transformation by Fangyi Ju, Zhongqiang Qi, Jiajin Tan, Tingting Dai

“…In this study, we employed the PMT technique to establish a transformation system for the <i>F. acuminatum</i> strain FDCY-5 due to its benefits such as ease of operation, low cost, high conversion efficiency, and broad applicability. …”
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Artificial Soil Environment Justification for Laboratory Studies of Wear and Traction Characteristics of Soil-Cutting Working Bodies by I. V. Liskin, A. V. Mironova

“…It was determined that more than 30 percent of energy costs were accounted for by breaking the root system of the vegetation cover on virgin and fallow lands.…”
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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…The construction of high-standard farmland is the foundation of the physical environment of the smart unmanned farms of rice, which provides perfect operating environment for the operation of modernized smart farm machinery through the reasonable layout of the field roads, good drainage and irrigation systems, and the scientific planting structure. …”
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Load Optimization for Connected Modern Buildings Using Deep Hybrid Machine Learning in Island Mode by Seyed Morteza Moghimi, Thomas Aaron Gulliver, Ilamparithi Thirumarai Chelvan, Hossen Teimoorinia

“…Electric Vehicles (EVs) are also considered in the system. They serve as energy storage devices and, through Vehicle-to-Grid (V2G) technology, can supply power when needed. …”
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Machine learning models for prognosis prediction in regenerative endodontic procedures by Jing Lu, Qianqian Cai, Kaizhi Chen, Bill Kahler, Jun Yao, Yanjun Zhang, Dali Zheng, Youguang Lu

“…The variables applied to predict the primary outcome in REPs were ranked accordingly to their values of feature importance, including age, sex, etiology, the number of root canals, trauma type, swelling or sinus tract, periapical lesion size, root development stage, pre-operative root resorption, medicaments, scaffold, second REPs, previous root canal filling. …”
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