Study on the Training Strategy of High Skilled Talents of Spray Coatings for Automobile in Secondary Vocational School——from the Perspective of Made in China 2025 Strategy

Made in China 2025 Strategy requires a large number of high skilled talents,which the high-skilled talents are the core backbone of skilled workers and a significant force to promote technological innovation and realize the transformation of scientific and technological achievements.In this study,combined with automotive spraying industry characteristics,four cultivation strategies are established by the construction of the system of high-skilled talent formation,training mode of on-campus+on-job highskilled talents,the common trail of national certification and enterprise certification and the star system spiraling excitation in order to create a new growth path for the cultivation of high-skilled talents in automobile spraying.

The Docking of Talent Training Strategies and Job Market in Higher Vocational Colleges Under the Background of Slow and Difficult Employment

Students in higher vocational colleges are faced with difficult problems such as slow employment,which highlights the dislocation between education and the market.This study surveyed thousands of students and hundreds of enterprises,and put forward docking strategies.The analysis shows that the mismatch between skills adaptation and literacy is the main cause of slow employment.To this end,research and design training programs,including curriculum restructuring,school-enterprise cooperation practice platforms,and employment-oriented quality improvement plans are imperative.At the same time,we will develop teaching modules for career planning to enhance competitiveness and ensure that the content is synchronized with industry standards.After the implementation,the employment rate of students increased by 15%within six months,the degree of interconnection increased by 20%,and the degree of enterprise recognition increased by 25%.The research effectively promotes the docking of higher vocational education with the market,and has far-reaching significance for easing slow employment.

Meta-cognitive Strategy Training and the Development of Learners＇ Autonomy in Language Learning

As the ultimate goal of education, autonomy in language learning has aroused a lot of attention from scholars at home and abroad. While in universities of China, students do not have strong autonomy in English language learning. The author tries to adopt specific meta-cognitive strategies to facilitate students＇ autonomy in learning by improving learners＇ capacities in study planning or management, monitoring and evaluating in learning to raise their consciousness and ability in autonomy, and lay a foundation for life-long learning.

A framework of the suggested Meta-cognitive Strategy Training model

It is of great significance to carry out Meta-cognitive Strategy Training （MST） in current college English teaching context. After analyzing the advantages and disadvantages of some sequences and models for strategy training, the authors suggest the Meta-cognitive Strategy Training model which consists of 6 steps with Strategies-Based Instruction （SBI） employed to conduct the concrete strategy training.

The Effects of Web-Based Listening Strategy Training on Thai High School EFL Students＇ Listening Comprehension

This study investigated the effects of a CLSTS （Computer-Assisted Listening Strategy Training Software） program on the development of students＇ ability to use four target listening strategies to enhance their listening comprehension. This study covered an experimental group and a control group. The participants were Grade 10 Thai EFL （English as a Foreign Language） students in a Thai high school in Bangkok, Thailand. Experimental group performance was compared to that of a control group on the five research instruments. Regarding the effect of the CLSTS on the students＇ ability to use the target listening strategies to enhance their listening comprehension, it was found that the CLSTS was significantly effective. The results that made CLSTS effective were categorized into six main aspects.

An Empirical Study on the Effectiveness of Language Learning Strategy Training for Chinese Adult English Learners

This paper explores how to implement effective strategy training for part-time Chinese adult English learners in a tertiary FLT （Foreign Language Teaching） classroom. Through a study of threx~ semesters during which six sessions of learner training workshops and constant, integrated task-based instruction were carried out, empirical evidence was collected via the instrument of questionnaires, interviews, learners＇ regular written reports, and the findings indicate that： （1） The students reported a statistically significant increase of the overaU average frequency of language strategy use over all SILL （The Strategy Inventory for Language Learning） items with 2.95 at the beginning and 3.61 at the end; and （2） Well-organized, explicit, and discrete leaner training workshops combined with frequent, explicit, and integrated task-based strategy instruction are an effective and helpful way to improve learners＇ awareness, selection, and frequency of strategy use, which can further foster learner autonomy.

Improving non-English majors' listening comprehension through strategy training

Listening is an important part in the second language learning process,so how to improve students’ listening comprehension especially for non-English majors becomes a main concern to teachers.For this purpose,a targeted listening strategy training was conducted in listening classes.Test results manifest that sixty participants get more or less improvement in their listening comprehension after receiving a strategy training every two hours over ten weeks.Low and middle achievers make relatively more progress than high-achievers.Interviews also indicate that high achievers use top-down strategies more than low achievers in listening process,while low achievers employ more bottom-up strategies than high achievers.This indicates that effective strategy training in listening class could enhance students’ listening performance.It is hoped that this study could give some insights to the future listening teaching.

Learning Strategy Training in Foreign Language Teaching

A great many recent studies have shown that making good use of learning strategies can contribute much to students' foreign language learning. This paper deals with some important issues about strategy training based on O'Malley and Chamot's theory, including the concept, value and goals of strategy training and approaches to such training.

Training Strategies for Applied German-speaking Talents in the"One Belt One Road"Initiative

Under the"One Belt One Road”initiative,China and Germany have become closer in cooperation and have made substantial progress in the fields of economy,trade,culture,science,and technology.The close cooperation between China and Germany has raised the demands for diversified German-speaking talents.After years of development and continuous exploration,China's educational institutions with German majors have established a mature talent training model but it is not enough to meet the country's growing demands for applied talents along with the economic development.With the advancement of the national education reform,many majors in various schools are thinking of reform plans suitable for their own development.Although German as a uminor^^language major is not very widely used,it plays an active and effective role in China's trade and cultural exchanges.Hence,there is a need to comprehensively improve students9 overall quality,advocate diversified training methods,adopt German-English bilingualism and professional German teaching methods,increase the cooperation of education between companies and institutions,as well as strive to train more applied German-speaking talents for the country.

Learning strategies training in classroom teaching

In contemporary English teaching, the study of English learning strategies has become one of the main concerns in teachers＇ teaching and research processes. The necessity of implementation of learning strategies training in the field of English teaching practice still remains disputable. This essay first introduces the different reactions towards the field; then advances the idea of combining English teaching strategies with English learning strategies attempting the implementation of learning strategies training in the classroom teaching. Finally, some thinking produced in the process of practicing the strategies training is raised to reexamine this teaching mode.

Train of Thought and Strategy over Strengthening the Research of Treating Hypertension by Integrative Chinese and Western Medicine

The gradually ex—panding number of peo—pie suffering from hy—pertension and the trendof lowering of their ageindicate that one shouldpay more attention tothe illness and tOstrengthen preventionand treatment of it inorder tO elevate clinicaltherapeutic effect,so as

Discussion on the Cultivation of the Core Quality of Middle School Students’ Physical Education in Primary School Physical Education Teaching

In the context of quality education,a wider exploration of physical education has been carried out,but at the same time higher requirements have been put forward for school sports courses.It is essential to pay attention to the teaching and training of physical knowledge and skills in physical education training as well as cultivate the core physical literacy of primary school students.The core quality of physical education is the main part of the basic quality of primary and middle school students,which is of great significance to their learning and development.This article will explore the training methods of primary and middle school students’basic quality in school physical education courses for reference.

Seismic velocity inversion based on CNN-LSTM fusion deep neural network

Based on the CNN-LSTM fusion deep neural network,this paper proposes a seismic velocity model building method that can simultaneously estimate the root mean square(RMS)velocity and interval velocity from the common-midpoint(CMP)gather.In the proposed method,a convolutional neural network(CNN)Encoder and two long short-term memory networks(LSTMs)are used to extract spatial and temporal features from seismic signals,respectively,and a CNN Decoder is used to recover RMS velocity and interval velocity of underground media from various feature vectors.To address the problems of unstable gradients and easily fall into a local minimum in the deep neural network training process,we propose to use Kaiming normal initialization with zero negative slopes of rectifi ed units and to adjust the network learning process by optimizing the mean square error(MSE)loss function with the introduction of a freezing factor.The experiments on testing dataset show that CNN-LSTM fusion deep neural network can predict RMS velocity as well as interval velocity more accurately,and its inversion accuracy is superior to that of single neural network models.The predictions on the complex structures and Marmousi model are consistent with the true velocity variation trends,and the predictions on fi eld data can eff ectively correct the phase axis,improve the lateral continuity of phase axis and quality of stack section,indicating the eff ectiveness and decent generalization capability of the proposed method.

MONITORING OF METACOGNITIVE STRATEGY TRAINING

The goal of education is to cultivate learner autonomy. Studies in metacognition suggest that the ideal way to accomplish this is through metacognitive strategy training. Research also indicates that effective training programs depend on monitoring. To cultivate self-regulation or learner autonomy, it is necessary to exert external monitoring at the beginning, and gradually reduce external supervision as the students become more autonomous. The present study argues for cooperative group learning and regular evaluation as the main monitoring strategies. A semester long study indicates that cooperative group learning, besides being valuable in cultivating social relationship, and fostering cooperation and learner autonomy, can also serve as a good monitoring strategy in metacognitive strategy training. Regular evaluation, when it is progress- oriented and learner-centered, and conducted at proper times, will also provide valuable information for students to check, evaluate and adjust their learning. Self-questioning sheets and learner portfolios are also useful techniques in monitoring students' learning.

Cultivation of Cross-cultural Awareness in College English Translation Teaching

With my country's entry into the WTO,transnational communication has become more frequent.However,the lack of cross-cultural awareness in cross-cultural communication will cause communication barriers.Therefore,in the translation teaching of college English,attention should be paid to cultivating students'cross-cultural awareness and enhancing their ability in cross-cultural communication.Based on this,this article explains the significance of cross-cultural awareness to college English translation teaching,and analyzes the problems existing in the process of college English translation teaching,and finally proposes ways and strategies to cultivate cross-cultural awareness in college English translation teaching.Provide some reference value for workers in this field.

LEARNING STRATEGY TRAINING——A CRUTCH FOR LANGUAGE LEARNERS

Successful FL learners are characterized by knowing how to use language learning strategies effectively. This pilot study demonstrates the procedure to cultivate the effectiveness of the strategy training to the learners of low language proficiency. It begins with a questionnaire surveying the learners' use of strategy in language acquisition, and then a strategy training integrated with the class teaching and learners' learning diary are introduced. The analysis proves that strategy training to learners of low proficiency can become a crutch for their further study.The role of teachers in the process of the training is also discussed. The author proposes that teachers should be ready for the shift of the role to be an organizer, facilitator, councilor or cooperator, even a negotiator in the road of promoting autonomous learners.

Strategies for Cultivating College Students'Innovation and Entrepreneurial Ability

Employment is the first priority for survival today.With the increasingly severe employment situation,the employment problem of college students has become inevitable.In recent years,with the expansion of university scale,the number of university graduates is increasing rapidly,with an imbalance in the number,structure,and social demand of talents;moreover,there are significant differences between college students'employment quality and social expectations.In order to cultivate the innovation and entrepreneurship ability of college students,this paper provides new ideas,analyzes the factors affecting the formation and development of college students'innovation and entrepreneurship ability,as well as proposes several strategies to enhance its scientificity,pertinence,and effectiveness,which are conducive to further strengthening innovation and entrepreneurship education as well as cultivating innovation and entrepreneurship talents in colleges and universities,thus providing strong support for talent training and teaching reform in colleges and universities in China.It also provides a solid foundation for China's social innovation and entrepreneurship,along with innovative and entrepreneurial services to meet the needs of society,so as to improve the success rate of entrepreneurship among college students,effectively promote entrepreneurship-driven employment,and solve the employment problems of college students,which are conducive to China's rapid transformation into an innovative country and a powerful country in terms of human resources.

Algorithm of Helmet Wearing Detection Based on AT-YOLO Deep Mode

The existing safety helmet detection methods are mainly based on one-stage object detection algorithms with high detection speed to reach the real-time detection requirements,but they can’t accurately detect small objects and objects with obstructions.Therefore,we propose a helmet detection algorithm based on the attention mechanism(AT-YOLO).First of all,a channel attention module is added to the YOLOv3 backbone network,which can adaptively calibrate the channel features of the direction to improve the feature utilization,and a spatial attention module is added to the neck of the YOLOv3 network to capture the correlation between any positions in the feature map so that to increase the receptive field of the network.Secondly,we use DIoU(Distance Intersection over Union)bounding box regression loss function,it not only improving the measurement of bounding box regression loss but also increases the normalized distance loss between the prediction boxes and the target boxes,which makes the network more accurate in detecting small objects and faster in convergence.Finally,we explore the training strategy of the network model,which improves network performance without increasing the inference cost.Experiments show that the mAP of the proposed method reaches 96.5%,and the detection speed can reach 27 fps.Compared with other existing methods,it has better performance in detection accuracy and speed.

Visuals to Text:A Comprehensive Review on Automatic Image Captioning

Image captioning refers to automatic generation of descriptive texts according to the visual content of images.It is a technique integrating multiple disciplines including the computer vision(CV),natural language processing(NLP)and artificial intelligence.In recent years,substantial research efforts have been devoted to generate image caption with impressive progress.To summarize the recent advances in image captioning,we present a comprehensive review on image captioning,covering both traditional methods and recent deep learning-based techniques.Specifically,we first briefly review the early traditional works based on the retrieval and template.Then deep learning-based image captioning researches are focused,which is categorized into the encoder-decoder framework,attention mechanism and training strategies on the basis of model structures and training manners for a detailed introduction.After that,we summarize the publicly available datasets,evaluation metrics and those proposed for specific requirements,and then compare the state of the art methods on the MS COCO dataset.Finally,we provide some discussions on open challenges and future research directions.

Modeling and simulation of high-speed passenger train movements in the rail line

In this paper, we propose a new formula of the real-time minimum safety headway based on the relative velocity of consecutive trains and present a dynamic model of high-speed passenger train movements in the rail line based on the proposed formula of the minimum safety headway. Moreover, we provide the control strategies of the high-speed passenger train operations based on the proposed formula of the real-time minimum safety headway and the dynamic model of highspeed passenger train movements. The simulation results demonstrate that the proposed control strategies of the passenger train operations can greatly reduce the delay propagation in the high-speed rail line when a random delay occurs.