“学习”的历史演变及词汇化研究

采用共时推演、历时验证的方法,对现代汉语双音词“学习”的成词过程及源流演变进行考察。研究发现,“学习”的并列结构并非是由述宾结构演变而来的,而是由同义的“学”和“习”直接并列组合而成,并且没有经过先构成并列短语再词汇化的过程。因此,其构成成分“习”的“学习”义也并非是由于“学”的组合同化作用产生的。“学习”的词汇化过程经历了两个阶段,并以“习学”的“显”和“隐”为标志。其同素逆序结构“习学”的隐退,是由语用、认知、语言内部等因素造成的,其功能则完全由“学习”来承接,而没有“学”或“习”的参与。

初中语文教学中实施综合性学习方式思考

目前初中语文教学中实施综合性学习方式存在初中语文教师的教学理念尚未得到实质性的转变﹑对过程和主体的整体性关注不够﹑存在“唯语文”倾向等诸多问题。教师要切实转变教学理念、对过程和主体的整体性关注程度等措施的提出对初中语文教学中实施综合性学习方式具有重要意义。

心血管外科临床见习的教学探讨

本文对如何进行心血管外科临床见习生的教学进行了探讨,目的是培养学生的临床思维能力和提高实践操作技能,进而提高临床见习的教学效果。

Machine learning molecular dynamics simulations of liquid methanol

As the simplest hydrogen-bonded alcohol,liquid methanol has attracted intensive experimental and theoretical interest.However,theoretical investigations on this system have primarily relied on empirical intermolecular force fields or ab initio molecular dynamics with semilocal density functionals.Inspired by recent studies on bulk water using increasingly accurate machine learning force fields,we report a new machine learning force field for liquid methanol with a hybrid functional revPBE0 plus dispersion correction.Molecular dynamics simulations on this machine learning force field are orders of magnitude faster than ab initio molecular dynamics simulations,yielding the radial distribution functions,selfdiffusion coefficients,and hydrogen bond network properties with very small statistical errors.The resulting structural and dynamical properties are compared well with the experimental data,demonstrating the superior accuracy of this machine learning force field.This work represents a successful step toward a first-principles description of this benchmark system and showcases the general applicability of the machine learning force field in studying liquid systems.

Improvement of High-Speed Detection Algorithm for Nonwoven Material Defects Based on Machine Vision

Defect detection is vital in the nonwoven material industry,ensuring surface quality before producing finished products.Recently,deep learning and computer vision advancements have revolutionized defect detection,making it a widely adopted approach in various industrial fields.This paper mainly studied the defect detection method for nonwoven materials based on the improved Nano Det-Plus model.Using the constructed samples of defects in nonwoven materials as the research objects,transfer learning experiments were conducted based on the Nano DetPlus object detection framework.Within this framework,the Backbone,path aggregation feature pyramid network(PAFPN)and Head network models were compared and trained through a process of freezing,with the ultimate aim of bolstering the model's feature extraction abilities and elevating detection accuracy.The half-precision quantization method was used to optimize the model after transfer learning experiments,reducing model weights and computational complexity to improve the detection speed.Performance comparisons were conducted between the improved model and the original Nano Det-Plus model,YOLO,SSD and other common industrial defect detection algorithms,validating that the improved methods based on transfer learning and semi-precision quantization enabled the model to meet the practical requirements of industrial production.

High-throughput studies and machine learning for design of β titanium alloys with optimum properties

Based on experimental data,machine learning(ML) models for Young's modulus,hardness,and hot-working ability of Ti-based alloys were constructed.In the models,the interdiffusion and mechanical property data were high-throughput re-evaluated from composition variations and nanoindentation data of diffusion couples.Then,the Ti-(22±0.5)at.%Nb-(30±0.5)at.%Zr-(4±0.5)at.%Cr(TNZC) alloy with a single body-centered cubic(BCC) phase was screened in an interactive loop.The experimental results exhibited a relatively low Young's modulus of(58±4) GPa,high nanohardness of(3.4±0.2) GPa,high microhardness of HV(520±5),high compressive yield strength of(1220±18) MPa,large plastic strain greater than 30%,and superior dry-and wet-wear resistance.This work demonstrates that ML combined with high-throughput analytic approaches can offer a powerful tool to accelerate the design of multicomponent Ti alloys with desired properties.Moreover,it is indicated that TNZC alloy is an attractive candidate for biomedical applications.

Systematizing Teacher Development:A Review of Foreign Language Teacher Learning

Foreign language teaching practice is developing rapidly,but research on foreign language teacher learning is currently relatively fragmented and unstructured.The book Foreign Language Teacher Learning,written by Professor Kang Yan from Capital Normal University,published in September 2022,makes a systematic introduction to foreign language teacher learning,which to some extent makes up for this shortcoming.Her book presents the lineage of foreign language teacher learning research at home and abroad,analyzes both theoretical and practical aspects,reviews the cuttingedge research results,and foresees the future development trend,painting a complete research picture for researchers in the field of foreign language teaching and teacher education as well as front-line teachers interested in foreign language teacher learning.This is an important inspiration for conducting foreign language teacher learning research in the future.And this paper makes a review of the book from aspects such as its content,major characteristics,contributions and limitations.

Lecturers’Efforts in Building Rapport in the English-Medium Instruction(EMI)Context:Focus on the Use of Communication Strategies

Past studies reveal the prevalence of anxiety,coupled with low motivation and disengagement among students in English-medium instruction(EMI)programs.Given the detrimental impact these negative emotions can have on learning outcomes,it is imperative that teachers establish positive emotional rapport with their students.This study explores how experienced and highly rated EMI lecturers at a Chinese university’s overseas campus use communication strategies to build rapport with their students during interactive academic activities.It identifies the strategies used by these lecturers and examines how the strategies facilitate the teaching-learning process.The data,consisting of 10 hours of tutorials and 10 hours of supervisor-student supervision meetings,is analyzed using an adapted Conversation Analysis(CA)approach.The analysis reveals three types of communication strategies(CSs)frequently used by lecturers:back-channeling,codeswitching,and co-creation of messages.By employing these strategies,the lecturers established a strong rapport with the students,which created an encouraging and supportive learning environment.Consequently,this positive atmosphere facilitated students’learning of content knowledge through English.The findings of this study have implications for the training of lecturers who encounter difficulties in establishing rapport with multilingual students in the EMI setting.

Chunk approach for English teaching

This paper suggests a chunk approach to solve the plateau problem among advanced English learners. The paper first discusses the extant problems and then provides a definition of the chunk approach. Based on some research results in cognitive psychology, it analyses the important role that chunks play in language acquisition and production and thus provides a cognitive foundation for implementing the chunk approach in English teaching. The paper also offers a set of classroom activities which can be easily adopted or adapted by other teachers.

Positive effects of native language in the foreign language learning and teaching

Native language has been rejected for a long time in the foreign language class, which results from a misunderstanding to native language transfer by most teachers. Actually, it is an effective learning strategy to complete the communication task under the help of native language, which should be acknowledged. Using native language to explain specific words or grammar rules can take advantage of the limited class-time efficiently and increase the class efficiency; using native language to discuss teaching method and solve the problems for the students can promote their enthusiasm. In these specific teaching processes, native language is an important teaching resource. Instances identify that native language has positive effects in the foreign language learning and teaching and it should have its own standpoint.

New rank learning algorithm

To overcome the limitation that complex data types with noun attributes cannot be processed by rank learning algorithms, a new rank learning algorithm is designed. In the learning algorithm based on the decision tree, the splitting rule of the decision tree is revised with a new definition of rank impurity. A new rank learning algorithm, which can be intuitively explained, is obtained and its theoretical basis is provided. The experimental results show that in the aspect of average rank loss, the ranking tree algorithm outperforms perception ranking and ordinal regression algorithms and it also has a faster convergence speed. The rank learning algorithm based on the decision tree is able to process categorical data and select relative features.

College English autonomous teaching and learning research and practice

This paper intends to promote a college English autonomous teaching and learning approach by introducing the whole process of its implementation and feedback from the learners. The theoretical and practical framework of this approach is： with multiple autonomous learning research and practice models as its core, with process syllabus as its guidance, with task-based teaching as its essential principle, with group cooperation and reciprocal learning as its means, with extracurricular activities, online learning and self-access center as its learning environment, with formative assessment system as its guarantee and with cultivation of learners＇ comprehensive English practical skills and autonomy as its goal. Through this approach, we provide the learners with a favorable learning environment where they can learn by themselves and learn by reflection and practice so that they can learn how to learn and how to behave and how to survive.

On fostering the autonomous learning ability in college English teaching

Autonomous learning is one of the objectives of multi-media college English teaching. On basis of the test of students＇ autonomous learning ability and the analysis of the results, this paper attempts to explore the feasibility of fostering the autonomous learning ability in college English teaching.

Empirical study on cooperative learning approach to College oral English teaching

As a creative and effective teaching method adopted by many countries, cooperative learning is one of the most widespread and fruitful areas in modern education theory. With the introduction of the concept of cooperative learning among College oral English teaching, students could undergo all-round training in English proficiency, cooperative ability, self-learning ability and sense of competition. This paper mainly focuses on how to make full use of cooperative leaning in College oral English teaching, and tries to verify that cooperative leaning is a practical and effective teaching mode which could enhance the College oral English classroom teaching quality.

Incremental Multi Step R Learning

Aim To investigate the model free multi step average reward reinforcement learning algorithm. Methods By combining the R learning algorithms with the temporal difference learning (TD( λ ) learning) algorithms for average reward problems, a novel incremental algorithm, called R( λ ) learning, was proposed. Results and Conclusion The proposed algorithm is a natural extension of the Q( λ) learning, the multi step discounted reward reinforcement learning algorithm, to the average reward cases. Simulation results show that the R( λ ) learning with intermediate λ values makes significant performance improvement over the simple R learning.

Analysis of the Current Situation of Spoken Foreign Language Teaching and Learning in Ethnic Regions

With the enhancement of friendship between different nations, foreign language learning has become more and more important. In particular, spoken language is playing a vital role in foreign language learning and practice. In order to improve foreign language teaching and learning proficiency in ethnic regions, the author analyses the current situation of spoken foreign language teaching and learning in ethnic regions and suggests some ways to solve the existing problems.

Probe in college English teaching in Grade-C class

College English is not only an essential curriculum of language, but also is an extremely important curriculum of cultural in college education. As a result of various factors, there are individual differences in college students＇ English study. Therefore, to gradually improve all the students＇ English, graded teaching becomes the best choice. In this thesis, graded teaching will be studied from several respects. And I hope it can give some slight help to some of college teachers.

Learning and learning choice in the nematode Caenorhabditis elegans

The nematode Caenorhabditis elegans is an attractive model organism to study the behavioral plasticity for its simple system and ability to respond to diverse environmental stimuli, such as touch, smell, taste and temperature. Learning in C. elegans encompasses both non-associative learning and associative learning. Till now, themotaxis and chemotaxis are two major paradigms for associative learning and there are at least 6 forms of chemotaxis-mediated associative learning. Three research systems have also been explored to study the mechanism of learning choice in worms. This review will discuss the forms, research models, genetic and molecular regulation of learning and learning choice in C. elegans.

The psychological teaching approach to basic foreign language teaching

Basic foreign language teaching for language majors plays a significant role in the process of foreign language teaching and is also a crucial stage in the training of foreign language talents. During the stage teachers should learn about students＇ learning motives and the beginners＇ psychological state to rouse students＇ interest and mobilize their initiatives so that students can change from passive learning to active learning. The teaching effects will thereby be substantially enhanced.