Study on the pattern of train arrival headway time in high-speed railway

Purpose-The design goal for the tracking interval of high-speed railway trains in China is 3 min,but it is difficult to achieve,and it is widely believed that it is mainly limited by the tracking interval of train arrivals.If the train arrival tracking interval can be compressed,it will be beneficial for China's high-speed railway to achieve a 3-min train tracking interval.The goal of this article is to study how to compress the train arrival tracking interval.Design/methodologylapproach-By simulating the process of dense train groups arriving at the station and stopping,the headway between train arrivals at the station was calculated,and the pattern of train arrival headway was obtained,changing the traditional understanding that the train arrival headway is considered the main factor limiting the headway of trains.Findings-When the running speed of trains is high,the headway between trains is short,the length of the station approach throat area is considerable and frequent train arrivals at the station,the arrival headway for the first group or several groups of trains will exceed the headway,but the subsequent sets of trains will havea headway equal to the arrival headway.This convergence characteristic is obtained by appropriately increasing the running time.Originality/value-According to this pattern,there is no need to overly emphasize the impact of train arrival headway on the headway.This plays an important role in compressing train headway and improving high-speedrailwaycapacity.

Judicious training pattern for superior molecular reorganization energy prediction model

Reorganization energy(RE)is closely related to the charge transport properties and is one of the important parameters for screening novel organic semiconductors(OSCs).With the rise of data-driven technology,accurate and efficient machine learning(ML)models for high-throughput screening novel organic molecules play an important role in the boom of material science.Comparing different molecular descriptors and algorithms,we construct a reasonable algorithm framework with molecular graphs to describe the compositional structure,convolutional neural networks to extract material features,and subsequently embedded fully connected neural networks to establish the mapping between features and predicted properties.With our well-designed judicious training pattern about feature-guided stratified random sampling,we have obtained a high-precision and robust reorganization energy prediction model,which can be used as one of the important descriptors for rapid screening potential OSCs.The root-meansquare error(RMSE)and the squared Pearson correlation coefficient(R^(2))of this model are 2.6 me V and0.99,respectively.More importantly,we confirm and emphasize that training pattern plays a crucial role in constructing supreme ML models.We are calling for more attention to designing innovative judicious training patterns in addition to high-quality databases,efficient material feature engineering and algorithm framework construction.

Research on the Interactive Training Pattern and the Applications on the Modern Emergency Rescue Training Activities

In this paper, we conduct research on the interactive training pattern and the applications on the modern emergency rescue training activities. In emergency rescue training linkage the ecological communities, important is not gathered themselves together, and not the size of the momentum and the strength that is not the amount of emergency rescue training linkage performance, important is the ecological communities each organic elements in the function of the cohesion, lies in the relationship between the organic elements in ecological communities, the construction and the development is the specific ecological communities in action elements of emergency rescue training, joint quality lies in the emergency rescue training. These contents are involved in the emergency rescue training linkage management model of concrete. Under this basis, we integrate the condition of the Hainan Medical School to propose the corresponding suggestions that will enhance the performance.

Research on the ＂The dual university＂ Concept in Germany and the Reference Pattern for Applied University in China from Perspectives of Professional Development and Ability Training

In this paper, we conduct research on the “The dual university” concept in Germany and the reference pattern for applieduniversity in China from perspectives of professional development and ability training. The German dual system of higher education, which hascreated a new way to cultivate advanced applied talents, is of great signifi cance.to promote the development transformation of the undergraduatecolleges and universities. However, the current domestic study of German dual system of higher education is relatively fragmented, and that mostlimited to the vocational college. Vocational college seems to be a German dual system of higher education. In fact, in the fi eld of the highereducation in Germany, set up the dual system has become a trend of the university curriculum. This paper proposes innovatively the potentialcombination of the Chinese education system with the dual university concept.

A New Computer Aided Volleyball Training System Based on Pattern Recognition Model

This paper proposes the novel computer aided volleyball training system based on pattern recognition model. In general the quality of volleyball training at the same time, we should strengthen coordination, mobile power, quality training, strengthen mobile exercises, moving fast and flexible to overcome the sudden fall of soft volleyball on the defensive and pilling adverse, such practice can be used for mobile.Strengthen the strength training, enhance the strength of the upper and lower limbs, improve the team＇ s bounce and batting speed is conducive to compete for the advantage of the Internet, better undermine the defense. With the help of the proposed system, the training process will be more effective, and the performance will be verified in the later discussions.

Research on the Flexible Yoga Training Mode based on Yin and Yang Theory of Dialectical Thinking Pattern

In this research paper, we conduct research on the flexible yoga training mode based on Yin and Yang theory of dialectical thinking pattern. Yoga become modem young people are increasingly keen on sports exercise program, at the same time, as more ferocious originated in India yoga culture, even beyond the native of the popularity of the tai chi culture in China, in view of this kind of social cultural phenomenon, the author think it is necessary to carry out the two of fitness culture contrast research, to more deep understanding from angle of culturology of tai chi chuan and the Indian yoga in development in our country, as well as the similarities and differences of inheritance, development and research of its better to provide theoretical reference. We discuss the combination of the cutures and propose the flexible yoga training mode which is innovative.

基于互联网和self-training的中文问答模式学习

在已有的问答模式学习中,模式定义和候选答案评分偏于简单,而且学习过程依赖于人工标定语料。通过挖掘W eb文本中动、名词序列的骨架模式,用以扩充模式定义;将self-train ing学习机制引入问答模式学习:用一对训练语料进行初始学习,通过互联网搜索,自动选择可靠程度较高的问答对,重新训练;扩充了启发规则,改进候选答案的评分方法。实验结果表明:所提出的问答模式学习方法能有效地提高中文问答系统的性能。

The Characteristics and Distribution Pattern of Seafloor Sinuous Pockmark Train in the Niger Delta Basin,West Africa

Objective The term ＂pockmark＂ was introduced by King and MacLean （1970） to describe small ＂circular＂ on echosounder records in Nova Scotia. described as circular, near Pockmarks are usually circular or elongated depressions, generally 10--400 m in diameter and 30-50 m in deep. Pockmarks are normally regarded to be manifestations of fluids escape through the seabed. Pockmarks are valuable features on the seafloor and are useful in constraining the hydrodynamics of sedimentary basins. Since then pockmarks have been recognized in many areas around the world. They occur predominantly in fine-grained siliciclastic depositional settings, although a few case studies have been reported in carbonate settings. In this paper we illustrate a suite of fluid escape features, discovered during the course of petroleum exploration on the West Africa continental margin （Fig. 1）. They are particularly of interest to the oil and gas industry because they could be potential indicators of deeply buried hydrocarbon reservoirs, and fluid flow phenomena in the deep water oilfield are important for the safe and efficient exploration, development and production of hydrocarbons in the area.

DETERMINATION OF THE FAVORED PATTERN IN NEURAL SPIKE TRAIN WITH MONTE CARLO METHOD AND TEMPLATE METHOD

The modern neuroelectrical physiology indicates that there are certain patterns inneural spike train which appear more frequently than others.These favored patterns(FP)maybe related to the mechanism of neural information processing in central nervous system.Inthis paper,the quantized Monte Carlo method and template method used in favored patternrecognition are described.The Monte Carlo method determines favored patterns or the possiblefavored patterns,while the template method is used for choosing the FP from the candidates andcounting the number of the FP in the spike train.This work will be pursued for extracting theFP in some complicated spike train.

The Rossby wave train patterns forced by shallower and deeper Tibetan Plateau atmospheric heat-source in summer in a linear baroclinic model

By using a linear baroclinic model(LBM),this study investigates the different Rossby wave train(RWT)patterns associated with the Tibetan Plateau(TP)upper-atmospheric heat source(TPUHS)that is anomalously shallower and deeper in boreal summer.Observational results indicate the different RWT patterns between the developing and decaying periods of synoptic TPUHS events,when the anomalous TPUHS develops from a relatively shallower to a deeper TP heat source.Based on the different vertical heating profiles between these two periods in observation,this study forces the LBM with prescribed TPUHS profiles to mimic a shallower and deeper summer TP heat source.The results show that the atmospheric responses to a shallower and deeper TPUHS do exhibit different RWT patterns that largely resemble those in observation.Namely,corresponding RWT pattern to a shallower TPUHS stretches from the TP to the west coast of America,while that to a deeper TPUHS extends from the TP region to Alaska.

Method to generate training samples for neural network used in target recognition

Training neural network to recognize targets needs a lot of samples.People usually get these samples in a non-systematic way,which can miss or overemphasize some target information.To improve this situation,a new method based on virtual model and invariant moments was proposed to generate training samples.The method was composed of the following steps：use computer and simulation software to build target object＇s virtual model and then simulate the environment,light condition,camera parameter,etc.;rotate the model by spin and nutation of inclination to get the image sequence by virtual camera;preprocess each image and transfer them into binary image;calculate the invariant moments for each image and get a vectors＇ sequence.The vectors＇ sequence which was proved to be complete became the training samples together with the target outputs.The simulated results showed that the proposed method could be used to recognize the real targets and improve the accuracy of target recognition effectively when the sampling interval was short enough and the circumstance simulation was close enough.

基层内镜医师pit pattern分型在线培训效果观察

目的:观察新疆兵团基层内镜医师pit pattern分型的在线培训效果。方法:选取2021-2022年新疆兵团基层医院的内镜医师81名,将肠镜操作量≥3000例医师分为专家组39名,非专家组42名。对所有医师进行pit pattern分型在线培训和培训前、后测试。比较培训前后医师判断结直肠息肉pit pattern分型的准确率,并分析判断结果与正确结果的一致性。结果:对兵团基层内镜医师的pit pattern分型在线培训取得了满意的效果。培训前、后测试表现:(1)所有医师及专家组、非专家组医师培训后判断总体息肉pit pattern分型的准确率明显高于培训前(P<0.001),所有医师培训后判断肿瘤性、非肿瘤性息肉pit pattern分型的准确率高于培训前(P<0.001),且所有医师培训后判断息肉pit pattern分型的每一分型的准确率也高于培训前(P<0.001)。(2)相较于培训前,培训后所有医师及专家组、非专家组医师息肉pit pattern分型判断结果与正确结果的Kappa值有提高,且培训后所有医师息肉性质判断结果与正确结果的Kappa值也有提高。结论:在线培训的方式能够提升基层内镜医师使用pit pattern分型辨别结直肠息肉性质的能力。

涉农高校助力乡村振兴的新型组织模式探索与实践——以吉林农业科技学院为例

乡村振兴战略是党的十九大提出的解决“三农”问题、加快农业农村现代化发展的重要举措。涉农高校在乡村振兴战略实施中具有独特优势,且肩负着重要使命。以吉林农业科技学院为例,提出涉农高校助力乡村振兴战略实施“五结合”新型组织模式,即“线上+线下”“集中+分散”“学校+企业”“项目+成果”“工作站+产业学院”,可为涉农高校服务乡村振兴战略提供借鉴,为乡村振兴发展提供新的思路和方法。

蝶腭神经节穿刺技术教学培训模式探索

目的 探索一种理想的以解剖定位为基础的蝶腭神经节穿刺技术(sphenopalatine ganglion puncture,SPGP)教学培训模式。方法 选取2017年4月—2021年10月在首都医科大学附属北京安贞医院疼痛科学习的54名进修医生为研究对象,培训时长为1周,培训内容包括理论教学、模拟操作和临床实践3个部分。培训结束后进行理论知识和临床实践考核,通过问卷调查的形式调查这些医生对教学的满意度。后期电话回访,调查其培训后1年内和2年内独立开展SPGP技术的情况。结果 所有进修医生均通过了理论知识和临床实践考核,理论知识平均分为(84.7±5.1)分,临床实践平均分为(82.9±5.0)分。31.5%的医生认为收益最大的培训内容为理论教学,29.6%医生认为受益最大的培训内容为模拟操作,38.9%的医生认为收益最大的培训内容为临床实践。77.8%的医生对培训模式非常满意,22.2%的医生对培训模式基本满意。83.3%的医生有信心独立开展SPGP技术。培训后第1年和第2年,分别有47名和49名医生开展了SPGP技术,且培训后2年内201~300例的开展率高于培训后1年,差异有统计学意义(P<0.05)。结论 学生对本中心开展的SPGP教学培训模式满意度较高;该教学培训模式可明显提升学生的理论知识和临床实践操作能力,便于其学成后顺利开展。

冬季亚洲两种大气环流型对云南低温事件的影响

利用1961—2022年云南125个国家气象站冬季逐日平均气温观测资料、NCAR/NCEP大气环流再分析资料,分析了冬季亚洲环流变化的主要类型及其对云南低温事件的影响,发现冬季亚洲500hPa大气环流存在纬向型和经向型两种环流类型,并对云南低温事件产生明显不同的影响。纬向型环流时,冷空气从贝加尔湖直接南下,主要影响东亚东部,云南低温事件也主要发生在东部地区,此时的低温过程与乌拉尔山高压和西伯利亚高压加强、欧亚中高纬度波列的活动密切联系;而经向型时,冷空气伴随贝加尔湖地区的异常反气旋东侧偏北气流沿着东亚大陆东部沿岸南下,并在中低纬度地区以回流的形式向东南推进,活动位置偏南偏西,使得云南全省、青藏高原和东南亚低纬度地区气温偏低,此时的低温过程主要与副热带波列的活动和青藏高原海平面气压(Surface level Pressure,SLP)的正距平加强有关,与乌拉尔山和西伯利亚地区的高压加强关系不密切。

省级学前教育高水平专业群建设的现状、挑战与进路——基于28个省级“双高计划”专业群的分析

在“新师范”和“双高计划”背景下,高职院校尤其是师范高等专科学校的学前教育专业群在有效助推保教人才培养、有效促进学校高质量发展、有效服务国家战略倡议上取得了一定的成绩。与此同时,也面临相关专业需求数量的锐减、办学空间的压缩和高质量发展任重道远等现实挑战。推动省级学前教育高水平专业群高质量发展,需要在宏观层面做好顶层设计、中观层面融入现代职业教育体系建设、微观层面优化专业群治理机制。

“服饰图案设计”的三维共融教学探究——以湖南工艺美术职业学院为例

按照服装与服饰设计专业特点,以服饰图案设计课程教学改革为例,根据服装行业企业用人需求与学生未来发展需要,从课程教学目标、教学内容、教学模式、课程评价等环节探究运用BOPPPS的“课程思政+项目教学+实践创新”的三维共融教学改革方案,通过递进式一体化实训方案,依托国家级课程建设,运用“微知库”平台,进行开放式线上线下互动式泛在教学,有效地激发了学生的创新潜质并提升学生的学习兴趣,实现了专业教育与思政教育的协同效应,提升了专业人才核心素养。

基于改进YOLOv5的火车连接钩舌识别方法

为了准确识别不同类型钩舌,确保自动复钩机器人能够根据火车连接钩舌状态实时调整机械臂的位姿,提出了一种基于改进YOLOv5的火车连接钩舌识别方法。首先,将YOLOv5主干网络中原有的C3模块替换为梯度流丰富的C2F模块(cross feature module),YOLOv5颈部网络中原有的C3模块替换为基于FasterNet模块构建的轻量化C3_FasterNet模块,并将CoordConv模块嵌入到YOLOv5的主干网络末端。其次,基于现场实测的火车连接钩舌图像进行了识别测试。结果表明:改进的YOLOv5算法在降低模型参数量的同时,可以有效提升对钩舌目标的检测精度,火车钩舌识别精度达到了98.7%,相较于原始算法,模型参数量减少了10.8%。研究结果为复钩机器人在执行钩舌复位和车厢连接操作方面提供了一种有效的解决方案。

洛阳地铁1号线列车受电弓碳滑板异常磨耗分析与改进研究

[目的]检查发现洛阳地铁1号线自试运营以来存在弓网关系恶劣、正线发生弓网拉弧现象,检查发现受电弓碳滑板上有灼烧点且磨耗严重。为解决受电弓碳滑板异常磨耗问题,须研究弓网异常磨耗原因,并提出解决措施。[方法]重点探讨了弓网技术性能、碳滑板材质、弓网打磨、接触压力、外部气候环境温度及湿度等因素对受电弓和接触网磨耗的影响,探讨了弓网异常磨耗的影响因素和磨耗规律。[结果及结论]研究结果表明,洛阳地铁1号线受电弓碳滑板磨耗为中心偏磨型磨耗,为解决此类磨耗问题,特提出针对性的处理措施和预防建议,包括建立接触网、受电弓的专项台账,借鉴同行对弓网异常磨耗的应对经验,根据弓网磨耗情况优化检修方式,充分运用弓网检测棚等信息化检测设备来提升弓网技术参数的监控和调节效率等。