Research and Practice of Course Reform in English Majors of Colleges and Universities from the Ideological and Political Perspective

There is an urgent need for high-quality talents with ideological and moral character for the development of higher education and the cultivation of English majors who meet the requirements of the times.The course reform in English majors from the ideological and political perspective is an important way to improve the comprehensive quality and moral values of students,which helps to cultivate English talents with social responsibility and innovative abilities.This paper analyzes the problems in the current courses through literature review and field research,such as the lack of ideological and political perspective and low interest of students in ideological and political content.Based on these issues,taking the course“Comprehensive English”as an example,various teaching stages were practiced from the aspects of learning objectives,learning content,learning situation,implementation ideas,implementation effects,and teaching evaluation.Additionally,some suggestions are proposed,such as integrating ideological and political content into the entire process of teaching.The teaching staff needs to possess high-level English teaching ability and ideological and political perspective,standardize the evaluation system,and integrate epistemology into the evaluation process of ideological and political education,in order to promote in-depth research and exploration of ideological and political education of English majors.

Optimized Binary Neural Networks for Road Anomaly Detection:A TinyML Approach on Edge Devices

Integrating Tiny Machine Learning(TinyML)with edge computing in remotely sensed images enhances the capabilities of road anomaly detection on a broader level.Constrained devices efficiently implement a Binary Neural Network(BNN)for road feature extraction,utilizing quantization and compression through a pruning strategy.The modifications resulted in a 28-fold decrease in memory usage and a 25%enhancement in inference speed while only experiencing a 2.5%decrease in accuracy.It showcases its superiority over conventional detection algorithms in different road image scenarios.Although constrained by computer resources and training datasets,our results indicate opportunities for future research,demonstrating that quantization and focused optimization can significantly improve machine learning models’accuracy and operational efficiency.ARM Cortex-M0 gives practical feasibility and substantial benefits while deploying our optimized BNN model on this low-power device:Advanced machine learning in edge computing.The analysis work delves into the educational significance of TinyML and its essential function in analyzing road networks using remote sensing,suggesting ways to improve smart city frameworks in road network assessment,traffic management,and autonomous vehicle navigation systems by emphasizing the importance of new technologies for maintaining and safeguarding road networks.

Construction and Reflection of Software Engineering Major Based on Accreditation Board for Engineering and Technology (ABET) Certification

With the rapid development of information technology,the demand for talents in the field of software engineering is growing.In order to cultivate high-quality software engineering talents who meet the market demand,universities have continuously carried out the construction of software engineering majors.Accreditation Board for Engineering and Technology(ABET)certification,as an internationally recognized higher education quality assurance system,provides important reference and guidance for the construction of software engineering majors.Guided by student learning outcomes and core competencies,combined with the characteristics of software engineering talent cultivation,the innovation of talent cultivation mode takes industry-education integration and school-enterprise cooperation as the main development paths and explores comprehensive reform of the major in terms of professional positioning and goals,curriculum system,teaching conditions,and teachers.This comprehensive reform model has effectively promoted the development of major construction and improved the quality of talent cultivation.

The Mobility of International Students from a Chinese Perspective

This paper focuses on examining the progression of the international education market,the number of international students in various countries,and China’s policy to support and liaise with the international universities.From the perspective of“talent demand,”this research will provide valuable insight into China’s acquisition of talents and higher education internationalization development.

On the Prescription Translation of Traditional Chinese Medicine

Traditional Chinese Medicine(TCM)is an essential legacy of Chinese culture,which makes a great contribution to China and the world's medical fields.To make it accepted by more people from different countries,the translation of TCM becomes important.As an important branch of TCM,the study of prescription promotes the development of TCM,and its translation is also significant.However,there are various problems in TCM prescription translation and there are few standards in TCM translation.Thus,this research uses Christiane Nord's"Functionality plus Loyalty"Translation Theory to analyze the TCM prescription translation.Based on characteristics of prescription formation,the paper applies Christiane Nord's"Functionality plus Loyalty"theory to TCM prescription translation.It draws a conclusion that TCM prescription translation can be done according to"Functionality plus Loyalty"theory,and there are three ways of prescription names translation.They are literal translation,free translation and transliteration.

How Behaviorism Can Help Provide Insight into MOOCs in the Chinese Education Market

In recent years,online education has grown rapidly and expanded globally.As an undergraduate student,the author took part in massive open online courses(MOOCs)as an elective.While enjoying the convenience of high-tech distance education,the author also became aware of its shortcomings.For instance,when students are confused about a certain topic,they are unable to clarify with their instructors in real time since most of the time,recorded instructional videos are used.Students also tend to listen passively during lessons,indicating that they may not absorb information or“positively reinforce”what they know or have learned.When discussing the characteristics of MOOCs,the author hopes to demonstrate how online education may influence traditional teaching and serves as an excellent complement to conventional classrooms.

The reinforcement learning method for occupant behavior in building control:A review

Occupant behavior in buildings has been considered the major source of uncertainty for assessing energy con-sumption and building performance.Modeling frameworks are usually built to accomplish a certain task,but the stochasticity of the occupant makes it difficult to apply that experience to a similar but distinct environment.For complex and dynamic environments,the development of smart devices and computing power makes intelligent control methods for occupant behaviors more viable.It is expected that they will make a substantial contribution to reducing global energy consumption.Among these control techniques,the reinforcement learning(RL)method seems distinctive and applicable.The success of the reinforcement learning method in many artificial intelligence applications has given an explicit indication of how this method might be used to model and adjust occupant behavior in building control.Fruitful algorithms complement each other and guarantee the quality of the opti-mization.However,the examination of occupant behavior based on reinforcement learning methodologies is not well established.The way that occupant interacts with the RL agent is still unclear.This study briefly reviews the empirical applications using reinforcement learning,how they have contributed to shaping the modeling paradigms and how they might suggest a future research direction.