Tensor meson transition form factors in holographic QCD and the muon g − 2 by Luigi Cappiello, Josef Leutgeb, Jonas Mager, Anton Rebhan

“…Abstract Despite the prominence of tensor mesons in photon-photon collisions, until recently their contribution to the hadronic light-by-light (HLbL) scattering part of the anomalous magnetic moment of the muon has been estimated to be at the level of only a few 10 −12, with an almost negligible contribution to the error budget of the Standard Model prediction. A recent reanalysis within the dispersive approach has found that after resolving the issue of kinematic singularities in previous approaches, a larger result is obtained, a few 10 −11, and with opposite sign as in previous results, when a simple quark model for the transition form factors is employed. …”
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Absorbing state phase transitions beyond directed percolation in dissipative quantum state preparation by Matthew Wampler, Nigel R. Cooper

“…To do this, we investigate a simple, purely dissipative quantum reaction-diffusion model, which may also be viewed as a dissipative quantum state preparation procedure for the (generalized) W state with errors. The “error” Lindblad jump operators preserve the W state as a dark state, but nonetheless act to decohere the system and induce the phase transition. …”
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Prediction of Traction Energy Consumption for Urban Rail Transit Trains in Relative Speed Mode by GUO Tuansheng

“…The prediction accuracy ranges from 92.0% to 99.6%, with a maximum relative error of 2.36%, an average relative error of 1.75%, and a root mean square relative error of 1.52%, outperforming other prediction methods by every indicator value. …”
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One-way Video Transmission Technology for Urban Rail Transit Based on EndpointDevices by ZHANG Lidong, XU Ziheng, WANG Kun

“…UPET (unidirectional private exchange tunnel) technology is employed for the design of one-way transmission channels, and FEC (forward error correction) technology is used for error correction and verification design. …”
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An Obstacle Perception Algorithm Based on Multi-Sensor Fusion for Autonomous-Rail Rapid Transit by JIANG Liangyu, PAN Wenbo, HUANG Ruipeng

“…This paper presents an obstacle perception algorithm based on multi-sensor fusion, aimed at addressing omissions and errors, as well as low accuracy in object detection for autonomous-rail rapid transit (ART). …”
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Research on the method and technology of locating dynamic stray current interference sources in rail transit by GU Chengyu, XIONG Xianghong, SU Lei, TONG Xianliang, LI Feng, HONG Zijie

“…The calculated coordinates using the stray current positioning algorithm are almost coincident with the actual interference source positions, including the measurement errors and the influence of the surrounding environment, etc., which demonstrates the feasibility of this method in the research on positioning of stray current interference sources in engineering practice.…”
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A Monte-Carlo Approach for the Estimation of Average Transition Probabilities in Sequential Logic Circuits by Georgios I. Stamoulis

“…This paper presents an efficient and accurate Monte-Carlo approach to the problem of estimating average node switching probabilities in sequential circuits, which are used in average power estimation and reliability analysis of these circuits. Specific error bounds for the proposed estimation method are given at a certain level of confidence. …”
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Analysis of Influence Factors on Torque Control for Asynchronous Machine in Rail Transit Traction System by YANG Liangchong

“…The accuracy of torque control determines the power output quality and passenger comfort of rail transit vehicles. It studies the problem of torque control precision of traction motor from difference perspective including PWM control of traction system, parameter design tolerance of traction motor and selection error of traction system sensor. …”
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Oil Futures Dynamics and Energy Transition: Evidence from Macroeconomic and Energy Market Linkages by Xiaomei Yuan, Fang-Rong Ren, Tao-Feng Wu

“…Understanding the price dynamics of oil futures is crucial for advancing green finance strategies and supporting sustainable energy transitions. This study investigates the macroeconomic and energy market determinants of oil futures prices through Granger causality, cointegration analysis, and the error correction model, using daily data. …”
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Simplification of State Transition Diagrams in Average Unavailability Analysis by Using Generalized Perturbation Theory by R. C. Vicente, F. C. Silva, P. F. Frutuoso e Melo, A. C. M. Alvim

“…Therefore, after simplifying the original diagram, the mean unavailability for the new system was calculated and the results were very close to those of the original diagram integral quantity (giving a relative error of about 2%), showing that the proposed simplification is quite reasonable and simple to apply.…”
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Effect of corporate voluntary disclosure on corporate performance: Evidence from a transitional economy by Mofijul Hoq Masum, Sarkar James Bakul, Hassan Nazmul

“…The study employs the short panel data, fixed model regression, and Panel Corrected Standard Error (PCSE). The analysis indicates that corporate voluntary disclosure has influenced the return on assets with a regression coefficient of 0.0724 at p ≤ 0.01. …”
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Measurement tools and outcome measures used in transitional patient safety; a systematic review. by Marije A van Melle, Henk F van Stel, Judith M Poldervaart, Niek J de Wit, Dorien L M Zwart

“…To assess current practice and improvements of transitional patient safety, valid measurement tools are needed.…”
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Accelerated increase in ferritin levels during menopausal transition as a marker of metabolic health by Minjeong Kim, Yoosoo Chang, Yoosun Cho, Min-Jung Kwon, Hee-Kyung Joh, Ga-Young Lim, Ria Kwon, Jiin Ahn, Jungeun Park, Kye-Hyun Kim, Jae Keun Yoo, Seungho Ryu

“…Serum ferritin levels, however, continued to rise post-FMP, with its coefficient (Standard Error; SE) sharply increasing from 2.10 (0.34) to 20.27 (0.50) between pre-FMP and around-FMP segments and remaining high at 9.34 (0.40) post-FMP. …”
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Forecasting Urban Rail Transit Vehicle Interior Noise and Its Applications in Railway Alignment Design by Yifeng Wang, Ping Wang, Zihan Li, Zhengxing Chen, Qing He

“…Then, for establishing the mapping relationship between the dynamic responses of the car body and interior noise, the collected dataset was fed to the RF. Parameter, error distribution, and feature importance analyses were conducted for evaluating and optimizing the performance of the RF. …”
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Speed Prediction of Urban Rail Transit Trains Based on Random Forest & Neural Network by QIN Jiannan, HU Wenbin, XU Li

“…The results of model testing on the simulation data and actual line data show that the proposed algorithm can effectively predict the speed curve of the train in real time, improve the accuracy of speed tracking control. The error is reduced by 57.7% compared with the traditional neural network model, and the error is reduced by 73.9% compared with the random forest regression model.…”
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Peer review for handoff education in a transition to residency course: A prospective cohort study by Rajiv Trehan, Catherine Chen, Raman Bhalla

“…Abstract Background and Aims Association of American Medical Colleges (AAMC) and Accreditation Council for Graduate Medical Education (ACGME) mandate training in handoff delivery for students and residents. Communication errors, including errors during handoffs of patient care, account for over 2/3 of sentinel events. …”
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Quantitative Ultrasonic Testing and Evaluation of Laser Welds for Stainless Steel Carbody of Rail Transit Vehicles by ZHOU Guanghao, LI Bing, DU Yuxin, CHANG Xiaoyu, GAO Zhongliang, KANG Liqi, GAO Ya

“…［Objective］ During the laser welding process of stainless steel carbody of rail transit vehicles, energy transfer from the laser beam to the material is dynamically variable. …”
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Observing Array Designed for Improving the Short‐Term Prediction of Kuroshio Extension State Transition Processes by Yu Geng, Qiang Wang, Hong‐Li Ren, Bo Dan, Stefano Pierini, Hui Zhang

“…This targeted observing network is universal for two KE transition processes. The removal of initial errors on this array results in the mean prediction improvements of about 9.2% and 22.5% for KE transition processes from the low‐ to the high‐energy state and from the high‐ to the low‐energy state, respectively.…”
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Fostering energy transition in Africa: Financial systems, inclusive growth, corruption control and ICT as catalysts by Louis David Junior Annor, Thomas Kyei-Mensah, John Agyekum Addae, Margarita Robaina, Elisabete Vieira

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Prediction of Daily Entrance and Exit Passenger Flow of Rail Transit Stations by Deep Learning Method by Huaizhong Zhu, Xiaoguang Yang, Yizhe Wang

“…The results verify that this method accurately predicts the daily entrance passenger flow and daily exit passenger flow of rail transit stations with the prediction error of less than 4.1%. …”
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