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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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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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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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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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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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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Error Estimate for a Finite-Difference Crank–Nicolson–ADI Scheme for a Class of Nonlinear Parabolic Isotropic Systems by Chrysovalantis A. Sfyrakis, Markos Tsoukalas

“…To understand phase-transition processes like solidification, phase-field models are frequently employed. …”
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Public R&D and Growth: A Dynamic Panel Vector-Error-Correction Model Analysis for 14 OECD Countries by Thomas H. W. Ziesemer

“…Here, we build a panel vector-error-correction model with these long-term relations. …”
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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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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

“…In the current study, a dynamic model of stray current sources was established according to the traction characteristics of the DC traction system for rail transit, and an algorithm to position underground stray current sources was proposed based on the propagation law of electromagnetic wave on the ground. …”
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column:Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast Error by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…With the acceleration of global energy transition and frequent extreme drought events, the combined threat of low output in renewable energy forecast and sudden reductions in hydropower generation poses significant challenges to power grid security and stability. …”
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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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A Monte-Carlo Approach for the Estimation of Average Transition Probabilities in Sequential Logic Circuits by Georgios I. Stamoulis

“…This method is based on the analysis of paths in the State Transition Graph (STG) of the circuit and is validated by both theoretical analysis as well as experimental results.…”
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