Short-term train arrival delay prediction:a data-driven approach

Purpose-To optimize train operations,dispatchers currently rely on experience for quick adjustments when delays occur.However,delay predictions often involve imprecise shifts based on known delay times.Real-time and accurate train delay predictions,facilitated by data-driven neural network models,can significantly reduce dispatcher stress and improve adjustment plans.Leveraging current train operation data,these models enable swift and precise predictions,addressing challenges posed by train delays in high-speed rail networks during unforeseen events.Design/methodology/approach-This paper proposes CBLA-net,a neural network architecture for predicting late arrival times.It combines CNN,Bi-LSTM,and attention mechanisms to extract features,handle time series data,and enhance information utilization.Trained on operational data from the Beijing-Tianjin line,it predicts the late arrival time of a target train at the next station using multidimensional input data from the target and preceding trains.Findings-This study evaluates our model’s predictive performance using two data approaches:one considering full data and another focusing only on late arrivals.Results show precise and rapid predictions.Training with full data achieves aMAEof approximately 0.54 minutes and a RMSEof 0.65 minutes,surpassing the model trained solely on delay data(MAE:is about 1.02 min,RMSE:is about 1.52 min).Despite superior overall performance with full data,the model excels at predicting delays exceeding 15 minutes when trained exclusively on late arrivals.For enhanced adaptability to real-world train operations,training with full data is recommended.Originality/value-This paper introduces a novel neural network model,CBLA-net,for predicting train delay times.It innovatively compares and analyzes the model’s performance using both full data and delay data formats.Additionally,the evaluation of the network’s predictive capabilities considers different scenarios,providing a comprehensive demonstration of the model’s predictive performance.

基于Tri-training算法的多分类信用评级方法

随着经济的快速发展,信用贷款在企业资金周转中的作用越来越重要.信用评级是信用贷款发放的基本依据之一.本文针对实际信用评级中有标签样本数量不足的问题,提出一种基于Tri-training算法的多分类信用评级方法,该方法选择支持向量机、决策树和最大熵模型作为基分类器组合.最后,本文使用真实的信用数据集验证了该方法的实际效果.

Overseas Short-term Training Program for Chinese University Teacher Educators:Theoretical Basis and Course Design

Overseas three-month intra-university training program is rear in Yunnan,China.Using adult learning and social con-structivism as theoretical basis,the author,introduces the background of the program and the course design,highlighting the inten-tion for the program and similar programs.

APEC Holds HACCP Standards and Certification Training Class in Beijing

On August 14th,2007 the Certification and Accreditation Administration of the PRC organized "APEC (The Asia-Pacific Economic Cooperation) HACCP (Hazard Analysis and Critical Control Point) Standards and Accreditation Training Class" in Beijing.……

Short-term effect of rehabilitation training on children with neuropathic acontractile sphincter incontinence

Objective To evaluate the short-term effect of pelvic floor muscle rehabilitation training under the guidance of doctors on children with neuropathic acontractile sphincter incontinence ( NASI) . Methods Sixty-eighty children ( aged 4 - 12 mean,7) years with NASI

基于Tri-training半监督学习的JPEG隐密分析方法

提出了一种基于半监督学习机制的JPEG隐密分析方法。通过三类DCT域统计特征和多超球面OC-SVM算法构建三种独立的隐密分析方法,并以Tri-training学习方式迭代地对未标记图像样本进行标记,来扩充原训练样本集,进而可以利用大量未标记属性的图像样本提高隐密分析算法的泛化能力。由JSteg、F5、Outguess、MB1含密图像与载体图像所组成的混合图像库上的仿真实验结果验证了此方法的有效性。

A longitudinal analysis of the U.S. Air Force Reserve Officers’ Training Corps physical fitness assessment

Background:The U.S.Air Force physical fitness assessment(PFA)is used to determine the overall fitness of their personnel.It is currently unknown to what extent the PFA scores of Reserve Officers’Training Corps(ROTC)cadets are affected by mandatory physical training.The purpose of this investigation was to longitudinally examine the PFAs of ROTC cadets over a four-year period,evaluate the results across class ranks,and evaluate the sensitivity of the classification of the tests.Methods:Air Force ROTC cadets performed the PFAs(abdominal circumference,1-min pushups,1-min sit-ups,and a 1.5-mile run)in both the spring(n=26)and fall(n=22)semesters.PFAs were compiled over a four-year period(Spring 2014–Fall 2017)and were performed in accordance with Air Force Instruction 36–2905.A oneway repeated measures ANOVA was performed separately for the fall and spring groups for each dependent variable across the 4 years.Additionally,a one-way between groups ANOVA was performed for each dependent variable during the time point(fall 2015;n=46)with the most recorded cadets for each class rank.Results:Longitudinal assessments revealed a main effect of time(P=0.010)on abdominal circumference;cadets had a smaller abdominal circumference in their freshman year than in their senior year.A main effect of time(P=0.006)was also observed on sit-up quantity;cadets performed more sit-ups in their junior year than in their freshman year.Examining between class ranks during the same year(between-subjects ANOVA)revealed a main effect of class rank on sit-up quantity(P=0.003);the freshmen completed fewer repetitions than the sophomores(P=0.018)and the juniors did(P=0.001).Conclusions:The results indicated that only the sit-up component showed differences between class ranks.These findings suggest that the Air Force PFA may not be sensitive enough to detect changes in physical fitness or distinguish between class ranks regarding physical performance,even after years of training.This limitation may be in part due to the limited duration of training incorporated by the ROTC program(2 h per week),which provided a maintenance effect rather than improvement in physical performance.We recommend that more attention be directed to the efficacy of physical training,the sensitivity of measures included in the PFA,or both.

Short-Term Mindfulness Intervention on Adolescents’ Negative Emotion under Global Pandemic

Objective:In this research,we tried to explore how short-term mindfulness(STM)intervention affects adoles-cents’anxiety,depression,and negative and positive emotion during the COVID-19 pandemic.Design:10 classes were divided into experiment groups(5 classes;n=238)and control(5 classes;n=244)randomly.Hospital Anxi-ety and Depression Scale(HADS)and Positive and Negative Affect Schedule(PANAS)were used to measure par-ticipants’dependent variables.In the experiment group,we conducted STM practice interventions every morning in theirfirst class from March to November 2020.No interventions were conducted in the control group.Methods:Paired-sample t-tests were used to identify if a significant difference exists between every time point of the experimental and control groups.Repeated ANOVA and Growth Mixture Model(GMM)were used to analyze the tendency of positive and negative emotions,anxiety,and depression in the experimental group.Results and Conclusions:(1)With the intervention of STM,there was a significant decrease in negative emotions and an increase in positive emotions in the experimental group,whereas there were non-significant differences in the control group.(2)To explore the heterogeneity trajectories of dependent variables,we built a GMM and found there were two latent growth classes in the trajectories.(3)The results of the models showed their trajec-tories were downward,which meant that the levels of anxiety,depression,and negative emotions of participants decreased during the STM training period.Nonetheless,the score of positive affect showed upward in three loops of intervention,which indicated that the level of the participants’positive affect increased through the STM inter-vention.(4)This research indicated that STM should be given increasing consideration to enhance mental health during the worldwide outbreak of COVID-19.

高职院校订单班人才培养研究与实践——以建筑智能化工程技术专业为例

校企合作、产教融合是高等职业教育发展的趋势及重要组成部分,该文主要研究高职院校订单班培养模式,并以建筑智能化工程技术专业日立电梯订单班为例,详细叙述开展订单班的过程,并对订单班实施经验进行研究与分析;校企合作双方“互利共嬴”是校企合作的宗旨,双方的利益与责任必须高度统一;订单班人才培养模式实现人才的精准培养,降低企业的经营成本,缓解学生的就业压力,加大校企合作的力度,促进教育链、人才链、产业链、创新链的有机结合,应该得到肯定、推广及发展。

美国一流大学博士生多元化职业能力培养体系研究

运用扎根理论,对麻省理工学院、芝加哥大学、加州大学伯克利分校、宾夕法尼亚大学、康奈尔大学和加州大学圣地亚哥分校的官网资料进行编码,分析得出美国一流大学博士生多元化职业能力培养体系,包括对接劳动力市场需求的高标准目标定位,基于关系网络的多维度保障机制,立足自我反思的全过程职业规划指导,兼顾学术性和实用性的全方位职业技能培训。我国高校应当切实履行博士生培养的主体责任,正视博士生对接社会需求的多样化职业选择趋势,加强系统思维,创建博士生多元化职业能力培养共同体,利益相关者协同加强学术型博士生多通道增强型培养体系建设。

研究生培养方案修订程序的价值、要素与完善——以10所“双一流”建设高校为分析对象

培养方案是研究生培养工作的总章程和路线图,程序是培养方案修订工作规范性、科学性和时效性的基本保证。基于10所“双一流”建设高校的研究生培养方案修订程序的要素比较分析发现:修订主体包括行政主体、学术主体和参与主体;修订步骤分为启动、推进和审核三个阶段;修订方式主要有年度修订、周期性修订和年度修订为辅周期性修订为主三种方式;修订时限长短不一。完善培养方案修订程序要从加强制度建设、强化科学研究、扩大实质参与、健全审核机制、优化修订方式等方面入手。

小组培养模式在耳鼻咽喉科临床医学博士试点班教学中的效果评估

目的 探讨小组培养模式在临床医学博士试点班(“4+4”医学博士项目)学生耳鼻咽喉科教学中的效果。方法 选取2022年5月至6月北京协和医院2019级临床医学博士改革试点班学生(本科非医学专业)共30名做为试点班组,临床实习采用小组培养模式,课前和课后发放调查问卷,收集问卷,统计分析数据。另2022年5月至6月北京协和医院2016级八年制学生89名,根据年龄、性别、基础医学成绩选取30名配对分组为八年制组,采用传统临床教学方法。教学后进行课后理论考试,按照满分100分的标准,统计分析两组学生理论成绩差异。结果试点班组30名学生课前问卷统计:前4年本科专业方向均来自于非医学专业,选择医学专业的原因是为了救死扶伤;51%的学生认为五官科在临床中占重要位置;课后问卷统计:90%的学生对床旁学习课程设计满意;40%的学生对耳鼻喉科新技术的应用比较感兴趣;28名针对教学中不足之处认为耳鼻喉科学知识深奥,29名认为应该增加多媒体教学方法。两组耳科理论成绩比较,差异无统计学意义(P>0.05),但试点班课时12学时较八年制20学时少。结论 改革试点班学生来自多个专业方向,为医学发展注入新的理念和思路;小组培养模式拉近学生与教师的距离,教学相长,提高学生学习效率,同时反馈改进教师教学方法。

基于新型“1+X+N”人才培养模式的一流本科课程建设探索

为了适应时代的发展需求,响应国务院提出的在应用型本科高校启动“学历证书+若干职业技能等级证书”制度(即“1+X”证书制度)的试点工作,民办本科院校积极探索“1+X+N”人才培养新模式。在人才培养新模式下,省级一流本科课程光纤通信技术课程组从明确课程定位、推动教学改革、加大资源建设、优化教学内容与实施过程、推进课程思政、改善课程成绩评定等方面开展工作,努力提升学生在光纤通信方面的综合应用能力,培养出满足新时代通信发展需求的高质量人才。

“双一流”大学教师国际学术影响力研究——结构、评价指标及影响因素

构建大学教师国际学术影响力的三维评价指标和量表,对中国37所“双一流”大学教师进行了国际学术影响力抽样调查和测评。通过结构方程模型方法,拟合验证了所构建的大学教师国际学术影响力的三维结构,即国际人才培养、国际科学研究和国际社会服务。研究结果表明,大学教师的国际学术影响力平均水平偏低,存在较大的个体差异,同时,还会受到大学教师的学科领域、职称、访学时长、访学次数等因素的显著影响。

动物科学一流专业建设视阈下畜牧草地学课程建设探索与实践

新农科和动物科学一流专业建设为畜牧专业人才培养提出更高的标准与要求。为了切实提高畜牧草地学课程教学质量,以学生视角分析了畜牧草地学传统教学模式、课程内容设置及考核方式中存在的问题,并根据《关于一流本科课程建设的实施意见》要求,通过深挖课程中的思政元素、创新教学手段、拓展教学内容、改变教学方式等方面进行探索与实践,以调动学生学习主动性与积极性,提升教学质量与效果,为专业水准高、综合能力强的复合创新型畜牧专业人才培养及其他专业课程建设提供参考。

基于“课创赛”融合的创新实践教学模式探索

针对实践教学课程内容丰富性、实践性不足的问题,探索一种基于“课创赛”融合的创新实践教学模式。该模式将实践课程、大学生创新训练计划和高水平学科竞赛深度融合;将“创赛”实现的复杂系统分解为多个具有一定功能的子模块,根据实践课程知识点,将子模块内容引入到课程中,丰富教学内容。采用分阶段引导的学生主动参与教学过程完成课程知识点的训练,强化学生理论和实践能力,使其具备开展创新训练计划和学科竞赛的基本能力和素养。通过对电子信息类“创赛”与实践教学的深度融合实践,锻炼了学生的综合实践创新能力,提高了教师的教学改革水平,使得课程建设、创新训练、学科竞赛形成一个良性循环。

比较法提升实训课堂教学效果的实践探索——以高职会计专业增值税纳税申报实训项目为例

比较法是把内容或形式上有一定联系的事物加以比较,辨别异同或优劣,在教学过程中,“知同”可以帮助学生更好地理解和掌握事物的本质,“辨异”才能知悉差别,触类旁通。教师将比较法运用于高职会计专业纳税申报实训中,比较知识点之间的区别与联系,比较理论与实践的辩证关系,从而帮助学生更好地理解会计业务、法规条款与纳税申报的本质和规律。在提高课堂教学效果的同时,培养学生对知识的梳理能力以及学会摸索实际业务脉络的能力。

“双一流”战略背景下财经类高校研究生培养体系构建研究——以浙江工商大学为例

培养高质量研究生人才是“双一流”战略的核心要点之一,为推动研究生教育向内涵式发展转变,亟待重新审视研究生培养体系的构建。“学校-学院-导师”的传统三级研究生培养体系在保障财经类高校研究生整体培养质量方面往往有乏力之感。该文借鉴理工科高校采用团队式研究生培养模式的经验,将财经类高校研究生培养与学科团队建设结合起来,提出构建“学校-学院-研究所-导师”新的四级研究生培养体系,并以浙江工商大学研究生培养实践为例,阐述其主要举措、实施效果和研究启示,强调学院整体把控和研究所协同管理的重要作用。上述探索期望能为财经类高校提升研究生培养质量提供借鉴与参考。

坚持教育、科技、人才“三位一体”加快推进中药学世界一流学科建设

以南京中医药大学为例,重点阐述了学校中药学学科在坚持党的领导、人才引领、科技创新、立德树人、服务需求导向等方面的特色化举措与成效。学校以中国特色、世界一流为目标,以立德树人为根本任务,坚持目标和问题导向,以深化改革激发创新动力,坚持教育、科技、人才“三位一体”,以高质量发展推进中药学世界一流学科建设,为中药学的世界一流学科建设提供了借鉴和发展思路。