Traceable Calibration Method for Online Measurement System of Train Wheelset Profile Based on Neural Network by Enquan FANG, Jie QIN, Lili GENG

“…This paper analyzed the method of traceability calibration and the key problem of ensuring the long-term stability of the online measurement system of wheelset profile from an engineering example, introduced the key steps of parameter tracking and calibration based on neural network, and expounded the error compensation method and application effects of radial runout and axial displacement in the online measurement system of wheelset profile.…”
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Study on the Nonlinear Vibration Characteristic of Bending-torsional Coupled Single-stage Gear by Rongju Liu, Fuzhong Chen, Yongjun Shi, Yongsheng Zhao

“…Taking spur gear pair as the research object, a 6-DOF coupled bending-torsion nonlinear vibration model including time-varying meshing stiffness, comprehensive error, backlash and input torque is established. …”
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Monthly economic scheduling analysis of virtual power plant with electric vehicles: Analyzing from single-objective to tri-objective perspectives by Shaofan Li, Huaichun Zhou, Guanfeng Du, Shengxian Cao, Gong Wang, Jie Duan

“…In terms of mean absolute error and mean square error, the performance of FEDformer is 5 % higher than that of the second best, including LSTM, Transformer, Informer, and Autoformer. …”
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Experimental Study on Pressure Drop Characteristic of Sing-phase and Two-phase Flow in Helical Cruciform Fuel Assembly by ZHANG Qi1, 2, , WANG Haoyu1, , ZHOU Yi1, HUANG Yongzhong1, ZHENG Lele1, LI Chenxi1, XIAO Yao2, GU Hanyang2

“…A new prediction model with a geometrical factor was proposed for the single-phase frictional factor of the helical cruciform fuel assembly, and the prediction error is less than 6.4%. The experimental data of two-phase flow were analyzed based on the separated flow model, which demonstrats the applicability to the typical rod bundle channel. …”
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A Data-Driven Analysis of Engineering Contract Risk Characterization Based on Judicial Cases of Disputes by Yongcheng Zhang, Ziyi Wu, Chaohua Xiong, Jianwei Wang, Maxwell Fordjour Antwi-Afari

“…The research identifies contractual risk characteristics across dimensions such as regional distribution, dispute terminology, legal citation patterns, and appellate role transitions. The key findings include the following: (1) Primary risks involve payment disputes, quality assurance failures, contractual validity issues, and schedule compliance challenges. (2) Litigation patterns reveal complex interdependencies between contracting parties and stakeholders, posing significant risk management challenges. (3) High second-instance modification rates stem from procedural irregularities, new evidence, improper legal application, and factual errors in initial trials. …”
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Healthcare professionals’ perceptions of electronic prescription systems in outpatient services: a qualitative study at UNS hospital by Joko Sudarsono, Satibi Satibi, Lutfan Lazuardi, Anna Wahyuni Widayanti

“…The outpatient prescription service at UNS Hospital is transitioning from paper-based to electronic prescription systems (EPSs). …”
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Improving the prediction of bitumen’s density and thermal expansion by optimizing artificial neural networks with Optuna and TensorFlow by Eli I. Assaf, Xueyan Liu, Sandra Erkens

“…Using Optuna for hyperparameter optimization, we ensure that the information extracted from MD simulations is utilized effectively.The resulting ANN models accurately reproduce MD-predicted densities, achieving R2>0.99, MSEs below 0.1 %, and maximum absolute errors below 5 % on test data. In addition to reducing computational cost, the models exhibit improved interpolation and extrapolation capabilities, enabling reliable predictions for properties, ranges, and compositions not explicitly simulated.Key aspects of our approach include: • Transitioning from RFRs to ANNs, improving generalization, interpolation, and predictive accuracy. • Automated hyperparameter optimization, leveraging Optuna to maximize model efficiency. • Expanding applicability, enabling property prediction for unseen compositions without additional MD simulations.…”
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Write Precisely by Shahul Ameen

“…AI tools can furnish concise alternatives to text but can introduce errors. Peer feedback can be beneficial.…”
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Domestic, Not Private: Feminine Proposals for Carabanchel PAU Expansion, Madrid, Spain by Ángel Cordero Ampuero, Paula Ruiz Usero, Marta Muñoz Martín

“…The results provide optimistic data for the discipline and its capacity, through this type of sensitivity, to correct some of the errors in the system of production of public space.…”
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Modeling the hydraulic roughness of a movable flatbed in a sand channel while considering the effects of water temperature by Junzheng Liu, Jinliang Zhang, Zhe Huang, Haijue Xu, Yuchuan Bai, Gang Wang

“…The error metric showed that the new predictor provided the highest accuracy, with ∼88.5% of the 826 data points falling within the ±30% error band. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…An inversion model, developed based on the analysis of phase mutation points and interference extrema, demonstrates remarkable accuracy in locating the spatial coordinates of fracture endpoints. The localization errors for the endpoints of the horizontally propagating fractures are consistently below 2%, proving the reliability of this method for real-time monitoring and early warning of fracture propagation.In contrast, the vertical propagation of fractures presents a more complex scenario. …”
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Fluid Flow Simulation for Predicting Bottomhole Pressure That Considers Wellbore Storage Effects Under Shut-In Conditions in Deepwater Drilling by Yanli Guo, Yonghai Gao, Qingtao Gong, Lifen Hu, Yongyi Jiang, Baojiang Sun

“…The calculated values show good agreement with experimental values, with the average absolute and relative errors of 2.095 × 10⁻² MPa and 3.71%, respectively. …”
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Modeling dynamic and static operating modes of a low-power asynchronous electric drive by Viktor Lyshuk, Sergiy Moroz, Yosyp Selepyna, Valentyn Zablotskyi, Mykola Yevsiuk, Viktor Satsyk, Anatolii Tkachuk

“…The differential equations of traditional models are implicitly formulated; therefore, during numerical implementation for prolonged processes, matrix coefficient rotation leads to significant time expenditure and the accumulation of errors during integration. This complex task is proposed to be addressed by ensuring that the differential equations of the electromechanical state are non-stiff and, importantly, written in standard Cauchy form. …”
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Multifractal Carbon Market Price Forecasting with Memory-Guided Adversarial Network by Na Li, Mingzhu Tang, Jingwen Deng, Liran Wei, Xinpeng Zhou

“…Carbon market price prediction is critical for stabilizing markets and advancing low-carbon transitions, where capturing multifractal dynamics is essential. …”
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Mutational signature analyses in multi-child families reveal sources of age-related increases in human germline mutations by Habiballah Shojaeisaadi, Andrew Schoenrock, Matthew J. Meier, Andrew Williams, Jill M. Norris, Nicholette D. Palmer, Carole L. Yauk, Francesco Marchetti

“…These analyses suggest that inaccurate DNA mismatch repair during repair initiation and excision processes, along with DNA damage and replication errors, are major sources of human germline de novo SNVs. …”
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A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network by Shunxian Zhou, Sisi Chen, Jinhai Le, Yangtai Xu, Lei Wang

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Implementing Supply Chain Management 4.0: Potential Driving Forces and Strategies From an Empirical Study of Pharmaceutical Industries by Ismail W. R. Taifa, Johnson Subby Nzowa

“…The transformation in deploying advanced robotics and automating the production systems within the PMIs can assist in streamlining the manufacturing workflows, diminishing human errors, and ultimately increasing the PMI outputs. …”
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Compiling ship and airborne measurements for the Antarctic's second-generation magnetic anomaly map by Golynsky Alexander, Golynsky Dmitry, von Frese Ralph

“…For ADMAP-2, the newly acquired data were corrected for the diurnal and International Geomagnetic Reference Field effects, edited for high-frequency errors, and levelled to minimize line-correlated noise. …”
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Formalized approaches to assessing the usability of the user interface of web applications by B.M M. Basok, S. L. Frenkel

“…The application of the approach described in the paper, along with traditional methods of testing the usability of UI, will increase the overall level of usability of applications, and thereby reduce the cost of identifying and correcting related errors.…”
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ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE by Ioana CIOFU, Giulia KONDORT, Stefana POP, Roxana CIOC

“…Younger respondents, particularly those under 25, were found to have greater tolerance for AI errors and a greater willingness to integrate AI into workflows. …”
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