Results 111 to 120 of about 13,512 (265)

Application Development of Cylindrical Roller Bearing for High-speed EMUs

open access: yes机车电传动, 2018
Aiming at the problems of tapered roller bearings applied in high-speed EMUs in our country, such as bearing grease leakage, abnormal temperature rise, and stripping, using forward design concept, combined the technical characteristics of cylindrical ...
LI Guodong, ZHAO Wenxue, HAN Qingli
doaj  

Association Mining for Operation and Maintenance Safety Risks of EMUs Based on Unstructured Event Data

open access: yesUrban Rail Transit
The safety features of Electric Multiple Units (EMUs) are intricate and redundant, and the associated data is massive, multi-sourced, heterogeneous, and interdisciplinary.
Haixing Wang   +4 more
doaj   +1 more source

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

open access: yesEpilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli   +3 more
wiley   +1 more source

Research and Application on Drive Tracking and Testing System for High-speed EMUs

open access: yes机车电传动, 2011
Testing system was studied and developed which could be used for real-time collection of parameters including electric, temperature, and ventilation of each critical component on EMUs tracking drive unit.
邓学寿, 肖石
doaj  

Bacterial Biohybrids With Dual Magnet and Hypoxia Tropism for Ferroptosis Activation in Deep Tumor Regions

open access: yesExploration, EarlyView.
This study introduces a bacterial biohybrid (Ec@ZFOY) designed to target deep tumor regions using a combination of magnetic and hypoxia‐driven mechanisms for enhanced therapeutic delivery. By incorporating hypoxia‐targeted Escherichia coli and magnetic nanoparticles loaded with a HIF‐1α inhibitor, the biohybrid activates ferroptosis through reactive ...
Sijie Shao   +5 more
wiley   +1 more source

Development of Permanent Magnetic Traction Motors for High-speed EMUs

open access: yes机车电传动, 2016
High-speed EMUs were strict with the performance and reliability, such as efficiency and power density, while traditional asynchronous traction motors had little room for improvement of performances to meet the requirements of new generation high speed ...
FU Minli   +5 more
doaj  

Regime‐Dependent Nowcasting of the Austrian Economy

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT We nowcast and forecast economic activity in Austria, namely, real gross domestic product (GDP), consumption, and investment, which are available at a quarterly frequency, using a preselected number of monthly indicators based on a combination of statistical procedures.
Jaroslava Hlouskova, Ines Fortin
wiley   +1 more source

Modeling and Simulation Analysis of High-speed EMUs Emergency Brake System

open access: yes机车电传动, 2014
Based on operating principle and performance of high-speed EMUs emergency brake system, AMESim was utilized to establish car pneumatic emergency brake model, vehicle brake submodel and EMUs emergency brake model respectively. On this basis, the composite
CAI Li, CHEN Shu-jun, DU Qun-wei
doaj  

The Influence of Route Characteristics, Train Design and Maintenance Policy on Wheel Tread Damage, Wheel Life and Costs for Multiple-Unit Trains [PDF]

open access: yes
In the UK, the use of similar vehicle types by a range of privatised operators gives the opportunity to assess the influence of different route conditions and maintenance practices on wheel tread damage, wheelset life and costs.
Bevan, Adam   +2 more
core  

Using DSGE and Machine Learning to Forecast Public Debt for France

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos   +4 more
wiley   +1 more source

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