The Research of Influence of the Barrier Transition Parameters Determination Methods on their Accuracy by V.S.В Dmitriev

“…It is established that the method of calculating the current-voltage characteristics by the Rhoderick method is the simplest, but it does not take into account the series resistance, which can lead to additional errors in determining the current-voltage characteristic section where this influence can be neglected. …”
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Development review and prospects of intelligent technology in rail transit vehicles by LONG Teng, WANG Yuyi, LIN Jun, SHI Ke, PAN Wenbo, KANG Gaoqiang

“…Specifically, the train automatic operation technology aims to achieve more accurate and efficient operation of trains, thereby significantly reducing the risks associated with human operational errors. The active collision prevention technology enables automated avoidance between trains, such effectively precluding collision accidents. …”
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Adaptive data‐transition decision feedback equaliser with edge emphasis by Yue Li, Fei Yuan

“…Abstract Adaptive data‐transition (DT) decision feedback equalisation (DFE) with edge‐emphasised (EE) taps is presented. …”
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Construction Experience of German Electricity Market Adapting to Energy Transition by Zhengnan GAO, Nan JIANG, Qixin CHEN, Jiang XU, Haili WANG, Li XIN, Qinggui XU

“…Secondly, the paper introduced the German electricity price system and electricity market system, and analyzed the operation results of the German electricity market in adapting to the high proportion of renewable energy through the average absolute error index of the reference factors. Finally, it summarized the experience of German electricity market construction in policy and market connection, transnational market construction and regional self-balance mechanism, and put forward some construction suggestions that are adaptable to Inner Mongolia electricity market.…”
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Effects of the Uncertainty of Wall Distance on the Simulation of Turbulence/Transition Phenomena by Weiwei Tan, Heran Zhang, Lan Wang, Shengyang Nie, Jin Jiao, Yingtao Zuo

“…The results imply that the numerical solution of wall distance in the boundary layer has a relatively large error when the mesh orthogonality is bad, having a large effect on the accuracy of the turbulence/transition model. …”
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Renewable energy and its impact on agricultural and economic development in the Netherlands and South Africa by Saul Ngarava, Alois Aldridge Mugadza

“…Moreover, in the Netherlands, the adjustment speed was –1.46 for renewable energy consumption with an error correction of 0.68 a (8.22 months). In South Africa, the adjustment speed was –1.28 for renewable energy consumption with an error correction of 0.78 a (9.38 months). …”
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The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection by Zhinong Miao, Qilong Liao

“…The proposed improved YOLOv8 algorithm achieved an accuracy of 96.27%, a recall rate of 94.86%, a detection accuracy of 96.82%, a frame rate of 78.12fps, and an error value of 0.002 in the Track Obstacle Recognition Dataset. …”
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On the Critical Size of the Transition of a Ferromagnet into a Single-Domain State by Yu.O. Tykhonenko-Polishchuk, A.I. Tovstolytkin

“…The criteria for the applicability of each of the analyzed approaches have been clarified. Typical errors that occur in the scientific literature for estimating dcr were identified. …”
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Development of Multifunctional Test Platform for Water Cooling System of Rail Transit Vehicles by Xiong WANG, Guomeng SONG, Nan HUANG, Zhiyong WU, Hongfeng WANG

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Collinear Three-Photon Excitation of a Strongly Forbidden Optical Clock Transition by Samuel P. Carman, Jan Rudolph, Benjamin E. Garber, Michael J. Van de Graaff, Hunter Swan, Yijun Jiang (姜一君), Megan Nantel, Mahiro Abe, Rachel L. Barcklay, Jason M. Hogan

“…This transition is weakly allowed in the fermionic isotope ^{87}Sr but strongly forbidden in bosonic isotopes. …”
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A Transition-Based Neural Framework for Chinese Nested Entity and Relation Recognition by Junchi Zhang, Mengchi Liu

“…However, this process often leads to the problem of error propagation and prevents cross-task information integration. …”
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Accelerating the renewable energy transition in the EU: the role of smart technologies and ESG investments by Farhad Taghizadeh-Hesary, Ehsan Rasoulinezhad

“…Abstract This study explores how smart technologies and Environmental, Social, and Governance (ESG) investments influence the renewable energy transition in developed EU countries. Employing the VECM (Vector Error Correction Model) and FMOLS (Fully Modified Ordinary Least Squares) models, we analyze data from ten EU nations between 2000 and 2021. …”
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ZEN-garden: Optimizing energy transition pathways with user-oriented data handling by Jacob Mannhardt, Alissa Ganter, Johannes Burger, Francesco De Marco, Lukas Kunz, Lukas Schmidt-Engelbertz, Paolo Gabrielli, Giovanni Sansavini

“…Welcome to the ZEN-garden: ZEN-garden is an open-source optimization software to model multi-year energy system transition pathways. To support research focused on the transition of sector-coupled energy systems toward net-zero emissions, ZEN-garden is built upon two principles: Optimizing highly complex sector-coupled energy transition pathways and supporting user-friendly data handling through small, flexible, and robust input datasets. …”
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Duty Cycle Algorithm for 3D Cable Routing in Rail Transit Vehicles by DU Qinghua, ZHOU Yongzhi

“…［Objective］ With the widespread application of rail transit vehicles such as high-speed and intercity trains, the increasing functional demands for these products have led to greater complexity in cable design. …”
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Benefits of medication charts provided at transitions of care: a narrative systematic review by Fine Michèle Dietrich, Kurt E Hersberger, Isabelle Arnet

“…Objectives Particularly at transitions of care points information concerning current medication tends to be incomplete. …”
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Identifying Crowding Impact on Departure Time Choice of Commuters in Urban Rail Transit by Yan Cheng, Xiafei Ye, Taku Fujiyama

“…The ignorance of crowding impact on commuters’ departure time choice in urban rail transit may cause errors in forecasting dynamic passenger flow during peak time in urban rail transit. …”
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Research on Highly Real-Time and High Precision Localization Method for Rail Transit by HUANG Wenyu, PAN Wenbo, LI Yuanzhengyu, CHEN Zhiwei, YANG Zhenyu, YUAN Chao

“…The results of subsequent experiments conducted in open-air and tunnel scenarios of rail transit environments showed an average localization error of 0.1 m and average processing time of 98.13 ms, without trajectory non-convergence and degradation observed. …”
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Research on Standardization Scheme of Operation Capacity Calculation for Urban Rail Transit Lines by YU Haipeng, HAO Bin

“…This paper proposes a standardized process and modeling scheme of line operation capacity calculation, which is convenient for the project owner and all participants to evaluate the train operation capacity achieved by the urban rail transit system design scheme (such as line design scheme and signal design scheme), so that the deviation between the calculation results and the actual effect after the implementation of the scheme is within the allowable error range, all parties can reach a consensus on the driving capacity status and optimization direction of the project scheme, so as to optimize the scheme as soon as possible in the early stage of project design and improve benefits.…”
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Centralised ESG Data Sharing and EU Competition Law: Safeguards for the Twin Transition by Mariska van de Sanden, Pim Jansen

“…Compliance increasingly hinges on firms’ ability to collect and verify thousands of datapoints deep into global supply chains – an exercise that is costly, error-prone and may yield non-comparable results. …”
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Machine learning the Ising transition: A comparison between discriminative and generative approaches by Difei Zhang, Frank Schäfer, Julian Arnold

“…Conversely, in a knowledge-driven setting where the system Hamiltonian is known, nonparametric generative approaches leveraging sufficient statistics are superior in terms of the accuracy reached at a given budget of computation time for all but the smallest sample sizes or highest error tolerances. Our findings provide a guide for the selection of machine-learning strategies for phase transition detection based on criteria such as the amount of available system knowledge, the number of data points, or computational constraints.…”
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