Estimation of Transit Time of CMEs from the Sun to Earth by Ashutosh Pattnaik, Grzegorz Michałek, Anitha Ravishankar

“…Our model achieved a maximum error of 16.46 hr and a mean error of 7.25 hr in estimating the TT of 44 Earth-directed CMEs.…”
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An Anchor-Free Location Algorithm Based on Transition Coordinates by Jinzhao Fan, Sanjun Liu

“…In order to reduce the complicated calculation and eliminate the accumulated error in the traditional anchor-free location algorithm, a new anchor-free location algorithm based on transition coordinates is proposed in this paper. …”
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The Transitional Justice Models and the Justifications of Means of Dealing with the Past by Michal Krotoszynski

“…Finally, the article proposes a structure of transitional justice moral reasoning that may guide transitional decision-making process on the axiological level. …”
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Global Trends and Evidence Gaps in Medical Errors Research: A Mixed-Methods Scientometrics Study by Angarita-Pacheco Y, Urbano López AD, Hernandez-Paez DA, Fiorillo-Moreno O, Picón-Jaimes YA, Beltrán Venegas T, Rueda Olivella AM, Lozada-Martinez ID, Bermúdez V

“…Thematic analysis revealed a transition from error reporting to mitigation strategies. …”
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The Research of Influence of the Barrier Transition Parameters Determination Methods on their Accuracy by V.S.В Dmitriev

“…The accuracy of the main qualitative barrier transitions characteristics (barrier height пЃЄb and nonideality factor О·) depends on the accuracy of the measurement as the current and voltage as their determination method. …”
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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

“…With the further application of these technologies, rail transit vehicles will witness further innovation and development based intelligence, providing robust support for efficient, safe, and intelligent operation of rail transportation in the future.…”
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Temporal sampling and service frequency harmonics in transit accessibility evaluation by Andrew Owen, Brendan Murphy

“…A constrained random walk sampling strategy provides slightly worse average sample error, but eliminates the risk of harmonic error effects.…”
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Temporal sampling and service frequency harmonics in transit accessibility evaluation by Andrew Owen, Brendan Murphy

“…A constrained random walk sampling strategy provides slightly worse average sample error, but eliminates the risk of harmonic error effects.…”
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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

“…Many electricity markets of other countries have relatively rich experience in supporting the energy transition. Taking the German electricity market as a reference object, this paper summarized the process and effects of Germany's promoting the consumption of renewable energy, so as to provide useful reference for the construction of 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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A Novel Mobile Localization Method for Distributed Sensor Network with Non-Line-of-Sight Error Mitigation by Nan Hu, Hao Wu, Chengdong Wu, Yuan Gao

“…The aim of the method is to mitigate the NLOS error and enhance the localization accuracy. The transition between the LOS and NLOS is described by two-state Markov model. …”
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Analysis on the Error Correction Method of 2m Temperature Hourly Forecast Based on CMA-GD Model by Jian LI, Qi FAN, Ying ZHANG, Xingsheng XU

“…The most significant meteorological component is temperature， and weather forecasting relies heavily on how accurately temperatures are predicted.This study uses a linear non-graded regression method to rectify the inaccuracies in temperature forecasts induced by terrain variation in the 2 m temperature hourly forecast product of the mesoscale numerical model （China Meteorological Administration Guangdong， CMA-GD）， and use the one-dimensional Kalman filtering method and the double-weighted moving average method to correct the results.The accuracy of the hourly distribution exhibits a diurnal variation feature， and the model terrain height deviation is linearly negatively connected with the temperature error mean value， according to the results.The daytime correction impact is superior than the nighttime correction effect following the ungraded regression method.recorrecting using the best time frame for mathematical correction techniques （15 days for the Kalman method and 20 days for the mean method）.It is discovered that the mean method's re-correction effect outperforms the Kalman methods， and that the correction effect is more pronounced during the day than at night.Summer and autumn have a better re-correction impact than winter and spring， with some negative correction effects in spring and little difference between the two techniques in the latter.In the former， the mean value method outperforms the Kalman method.There are eight stations with negative correction following the ungraded regression method， but no negative correction stations follow the mathematical correction methods.Therefore the northern region typically experiences a better corrective impact than the southern region.The fraction of correction magnitude for both MAE and ACC is positively correlated with a binomial connection.The terrain deviation correction method has the least slope and restricted correction effect， while the mean value approach has the best correlation and largest slope.An error assessment was conducted in the middle part of Poyang Lake Plain and the south Zhejiang-Fujian hilly region.The peak error value in the former was lower than that in the latter， and the correction amplitude at the peak was smaller.After correction， the MAE decreased by 25.1% and 19.8%， respectively.From November 2022 to January 2023， during frequent cold air intrusions， the MAE in the middle part of the Poyang Lake Plain decreased by 13.5%.With corrected forecast errors oscillating around the zero axis and a noticeable improvement in systematic positive errors， the model significantly overestimates the temperature forecast for high mountain areas.The temperature forecast errors oscillate with the smallest amplitude from August to October and the largest amplitude in spring and winter.Taking the warming process （May 1-6， 2022） and the strong cooling process （November 28-December 3， 2022） as examples， the corrected MAE decreased by 18.2% and 16.0%， respectively， indicating that the method has achieved stable correction effects during transitional weather.This composite method has good stability， strong forecast correction ability， easy to promote.…”
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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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The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection by Zhinong Miao, Qilong Liao

“…The research results contribute to promoting the intelligent development of rail transit systems and improving their safety and operational efficiency.…”
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A numerical method for parallel calculation of the positional characteristic for error correction in a polyalphabetic polynomial modular code by I.A. Kalmykov, A.A. Olenev, N.V. Kononova, T.A. Peleshenko, N.K. Chistousov

“…The bases of polyalphabetic modular codes are equal, independent, and serve as a basis for constructing arithmetic codes that detect and correct errors that occur in the calculation process. The article presents theoretical foundations for constructing a redundant PPMC capable of detecting and correcting computational errors. …”
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Method for Correcting Error Due to Self-Heating of Resistance Temperature Detectors Suitable for Metrology in Industry 4.0 by Jiyun Li, Hongxing Pei, Orest Kochan, Chunzhi Wang, Roman Kochan, Alla Ivanyshyn

“…The analysis showed that while these methods can reduce the errors significantly, there remain limitations below which it is not possible to mitigate the error.…”
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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

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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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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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