Reviewerly/exHarmony huggingface dataset:
Analysis on the Training of Bilingual Broadcasting Talents under the Background of Information Globalization

With the deepening of economic globalization and the advancement of media technology, information dissemination is also developing towards the trend of globalization, and cultural exchanges are also quickly entering the level of globalization.As a disseminator of international culture, the professional ability of bilingual announcers directly determines the acceptability of information dissemination and the accuracy of information exchange.At present, the training of broadcasting talents in my country is still mostly limited to the national language level.To make China's five thousand-year-old civilization shine on the world stage, we must cultivate a group of bilingual media people with excellent business ability and take the initiative to It shoulders the mission of spreading the voice of a great country, conveying the image of a great country, and inheriting the civilization of a great country.This article will combine the current development status of bilingual broadcasting talents in China, and expound the significance of bilingual broadcasting talent training and the many problems existing in the training.The cultural stage has cultivated more outstanding bilingual talents.
Research on English for Specific Purposes in New Engineering Based on CIDO Education Mode

The construction of new engineering has proposed new and higher demands for engineering talented people, yet the acute problem is that basic knowledge in English for Specific Purposes (ESP) has obtained too much attention while the professional knowledge of the engineering courses has not been given sufficient attention.Other questions such as a limited cultivation in English language ability, a backward teaching mode in ESP learning, ineffective teaching effect, a single teaching evaluation mechanism are also hindering the training of talented people.Under new engineering background, it is highly urgent to adopt new mode of the cooperative cultivation of students especially new engineering plus ESP by strengthening cultivation scheme, curriculum system, teaching resources, and supporting platform among others.That can help to cultivate the comprehensive engineering talented people with a solid knowledge foundation, technology ability, higher ESP ability, cross-cultural ability, as well as humanistic presence.
An Empirical Study on Factors Affecting the Professional Well-being of Physical Education Teachers in Colleges Based on Multiple Regression

School physical education is an important part of education, and the development of physical education is inseparable from the work of physical education teachers.Physical education teachers play a pivotal role in the physical condition and health of students, and the professional well-being of physical education teachers affects personal work conditions, the growth of healthy students and the development of school sports.This paper studies the factors affecting the professional well-being of physical education teachers in colleges based on multiple regression, analyzes the related concepts of well-being and teachers' professional well-being, and studies the importance of college physical education teachers' professional well-being.Physical education teachers as the survey object, compiled a questionnaire on the occupational well-being of physical education teachers in colleges, and analyzed the factors that affect physical education teachers' occupational well-being through multiple regression.The research results show that, in terms of interpersonal relationships, the overall situation is good.Physical education teachers get along best with students, but their relationship with leaders and colleagues at work is not optimistic; improve their professional well-being, which is conducive to the development of physical education teachers.
The Path of Chinese Excellent Traditional Culture Teaching in Chinese Courses

The Chinese excellent traditional culture under the language course determines the content theme around the requirements of "creative transformation and innovative new development", and ultimately achieves the goal of cultural self-confidence educate.
English Translation Strategies in College Teaching in the Era of Big Data

English is an important language for international communication, and our time is the era of big data.In the era of big data, a large amount of English information is constantly emerging.College students must have high English translation ability to analyze and process mountains of English information in a short time, to better adapt to the times and better realize their self-worth.This puts forward higher requirements for College English translation teaching.Therefore, we should carefully study the teaching strategies of College English translation in the context of the era of big data.This paper will discuss this issue.
A Comparison of Discourse Scaffolding between Novice and Expert English Teachers in Senior High Schools from the Perspective of Social Culture Theory

Guided by Vygotsky's social culture theory, this paper makes a comparative analysis of six types of scaffolding used by novice and expert English senior high teachers, taking classroom discourse of novice and expert English senior high teachers as the research corpus, to summarize and find some problems of discourse scaffolding that teachers have encountered in teaching, then put forward corresponding improvement suggestions.
Research on Talent Cultivation based on "Science and Technology Basic Plan"

The "Science and Technology Basic Plan" is the general outline of Japan's science and technology system, and it is also the strategic policy for the cultivation of scientific and technological talents.This article focuses on sorting out and analyzing the whole process of Japan's formulation of the "Science and Technology Basic Plan", and explores and summarizes Japan's scientific and technological talents training experience.Provide reference for my country to formulate science and technology talent policy.
On the new teaching model in the post epidemic era- Taking Chinese online education as an example

Nowadays, China's position in the world is constantly improving, and the overseas Chinese fever has spread to the Chinese learning market; In addition, due to the impact of the epidemic, foreign Chinese education has encountered the difficulties of regional and time constraints.To solve this problem, the help of computer software technology, such as online interactive teaching software, has brought great convenience to overseas learners to a certain extent and can break through the space-time obstacles encountered by overseas learners in learning Chinese.This paper discusses Chinese online education's development status, advantages, difficulties, and development prospects.In short, in the post epidemic era, the new education model based on computer software technology has great auxiliary teaching value and significance in Chinese online education.
A Study on the Professional Development of Senior High School English Teachers: from the Perspective of New Curriculum Standards

The new curriculum reform of senior high school English attaches great importance to the professional development of English teachers and also puts forward new requirements for their professional development.This paper mainly explains the importance of English teachers' professional development to English education, analyses the problems existing in the process of English teachers' professional development from the objective and subjective perspectives, and puts forward corresponding countermeasures for the teachers, the schools and the relevant governments, which may help some English teachers to better realize their professional development.
Sentiment Analysis on Customer Perception towards Products and Services of Restaurant in Labuan Bajo

Analysis of consumer sentiment towards restaurant products and services in the form of reviews on various digital platforms such as Tripadvisor determines business sustainability and the image of tourist destinations. This study aims to classify visitor sentiments as Tripadvisor users towards Happy Banana Komodo, MadeInItaly, Mediterraneo, and La Cucina restaurants in Labuan Bajo. The research stages are divided into three parts, namely the stages of data collection, data processing, classification and evaluation of model performance, and interpretation of data and information. At the data collection stage, Tripadvisor user reviews of products and services at each restaurant are mined using the Webharvy application based on the configuration of the customer name, date of examination, rating, review title, and review. The data mining results are cleaned and prepared to be managed using the RapidMiner application at the data processing stage. The classification and evaluation stage of model performance is the implementation and testing of classification algorithms that are relevant to the dataset, namely Decision Tree (DT), Naïve Bayes (NB), Support Vector Machine (SVM), k-Nearest Neighbor (k-NN). The findings of this study indicate the implementation of the positive and negative sentiment classification method for the comprehensive review data from the Tripadvisor website for the products and services of restaurants Happy Banana Komodo, MadeInITaly, Mediterraneo, and La Cucina Restaurants are relevant with k-Nearest Neighbor (k-NN) with accuracy value of 99.27% ​​, a precision value of 100%, and a recall of 98.53%.
A note on (3,1) and (3,2) separating systems and bound for (3,1) separating system

Separating codes have been studied due to their applications to digital finger printing, the state assignments, automata theory and to construct hash functions. In this paper, we study the necessary and sufficient conditions for a code to be a [Formula: see text] and [Formula: see text]-separating systems for q-ary level and also satisfy its intersecting properties. We also construct a bound for [Formula: see text] separating system.
The Development Status and Extension Research of Small Basketball in Nanchong City

In recent years, the development trend of small basketball is flourishing.Its advantage is that it can not only enhance children's physical fitness, but also cultivate children's good exercise habits.By sorting out the development process of small basketball, this paper investigates the problems and difficulties existing in the development of small basketball in primary schools in Nanchong, and proposes solutions and development paths according to the actual situation.The purpose is to provide a theoretical reference for the development of small basketball, so that the small basketball can be better promoted in Nanchong.
Digitalization of spatial planning tourism village on minimizing spatial violations

The development of a tourism village not only requires the participation of local communities in all stages of development from the planning, implementation, and monitoring stages, but also the use of technology in the planning of the tourism village area. The digitization of regional planning provides opportunities for aspects of legal certainty, especially in relation to violations of spatial planning in the development of tourism villages. This study finds that digitalization in regional planning will reduce violations of regional planning in the development of tourism villages in Indonesia. The use of technology through digitalization has the effect of legal certainty and clarity regarding which areas may and may not be used in the development of tourism villages. This will provide convenience for local and village governments in developing their tourism villages.
Cognitive intelligence-driven learning disability education intervention for practical knowledge development of rural left-behind children

The paper analyses the research status of children's learning disability education interventions, constructs a knowledge service framework for learning disability education interventions for rural left-behind children driven by cognitive intelligence, discusses the ideas and cases of practical knowledge development of learning disability education interventions for rural left-behind children driven by cognitive intelligence, and establishes a scientific knowledge service model. The practical knowledge development case of the learning disability education intervention for rural left-behind children takes the marine education game intervention as a case, and provides new opportunities for rural left-behind children's learning disability education interventions.
Understanding self assembly under reservoir-like conditions

Nonionic surfactants are used in many applications including cleaning and emulsification.One application where they are also used is in the enhanced oil recovery industry where surfactant are pumped down hole and used to alter both the wettability of the rock formation as well as solubilize oils that are trapped in the formation.The self assembly of nonioninc surfactants are known to be affected by numerous external stimuli such as temperature, pH, and ionic strength.When being used in EOR based applications though surfactants are also exposed to extreme pressures of upwards of 100 MPa.In this presentation we will showcase the effect of pressure and ionic strength on the self assembly behaviors of nonionic surfactants in solution using the unique high pressure SAXS setup at the MAC CHESS beamline.We verified many previous efforts that demonstrate the low compressibility of spherical micelles.However, we show that pressure has a large effect on the self assembly of nonionic surfactants after they undergo the sphere to rod and rod to worm transitions that are observed as an effect of ionic strength.These changes as a function of pressure may have unique effects on the rheological behavior and resulting performance of the fluid within the rock formation.
Semantic Segmentation Based on Improved Robinson Operator

Classical pixel-level semantic segmentation methods are easily affected by factors such as environment and pixel values, resulting in low accuracy of their methods. Therefore, in order to improve the accuracy of pixel-level semantic segmentation under practical conditions, this paper designs a lightweight network based on the nonlinear characteristics of residual structure and the characteristics of optimized edge operators. The experimental results show that the designed lightweight residual network can effectively improve the accuracy by about 2% compared with the traditional residual network, and the model size is reduced from the original 40.2MB to 18.9MB.
DisCnet: Pixel segmentation based on discrete features

In the process of pixel-level semantic segmentation tasks, traditional image processing algorithms will suffer from the working mechanism of convolutional layers and pooling layers, resulting in the loss of some features, which now leads to inaccurate semantic segmentation accuracy. For such problems, we design a discrete pooling layer by analyzing the distribution and statistical properties of discrete data. Compared with the traditional pooling layer, the discrete pooling layer can not only preserve the spatial information of features, avoid the loss of features, but also can efficiently improve the accurate segmentation of instance images. Then, based on the discrete pooling layer, we design DisCnet in combination with the convolutional layer. Finally, DisCnet is compared with some state-of-the-art algorithms under the Cityscapes dataset. Experiments demonstrate that DisCnet achieves excellent results in both accuracy and speed.
Wireless Stand‐Alone Trimodal Interactive Display Enabled by Direct Capacitive Coupling (Adv. Mater. 37/2022)

Interactive Displays A wireless stand-alone trimodal interactive display is developed by Cheolmin Park and co-workers, as reported in article number 2204760, where finger touch is displayed with three types of outputs of field-induced electroluminescence, inverse piezoelectric sound, and tactile vibration, and remotely powered by the unique AC-to-AC power transfer based on direct capacitive coupling, making the device potentially suitable for a smart braille display.
An analysis of strategies for improving the innovation ability of engineering college students in the new era-- A case study of mechanical engineering students

Innovation is the primary driving force for a country's development.Under the background of the new era, the international competition is increasingly fierce, so it is necessary to develop the independent innovation ability to improve the national core competitiveness.At present, with the continuous development of China's science and technology industry, the social demand for engineering students is also increasing.Therefore, it plays a vital role in cultivating the innovation ability of engineering college students.In this paper, namely, major in mechanical engineering students, for example, the new era of students' innovation ability to promote the value of significance, analyzed the current restricts the students' innovation ability, and puts forward a new era of engineering college students' innovation ability promotion strategy, in order to promote the engineering college students about innovation ability promotion related research.
Application of Artificial Intelligence (AI) Technology in Accounting Machine Network (CN) Safety

AI skill is a very crucial skill, this skill has a very large value for human exploit.At present, AI skill has been utilized reliably in many professional domains, such as CN safety.In daily office work, folk can exploit this skill to meet the daily safety detection of information transmission and data operation.The concept of this skill is well known, and many books have been written about the key technologies.This article studies the adhibition of AI skill in CN safety analysis and processing, explains the specific performance of AI skill in CN safety.Using ANN algorithm, this paper constructs a security model of artificial intelligence technology in computer network, and carries out the simulation experiment.The data show that AI skill has high performance in CN safety.
Research on the Teaching Design of Junior High School Mathematics Pointing to Deep Learning —Take "Definition of a Function" as an Example

Teaching is a way for teachers to spread knowledge to students, and deep learning is a mean to ensure the quality of teaching.This paper outlines the basic methods of mathematics instructional design under deep learning, and carries out the instructional design of deep learning based on the "definition of primary function", in order to provide theoretical and practical reference for the mathematics instructional design of front-line teachers.
Research on the Sports Intelligence Structure System of High-level Swimmers in Colleges and Universities

This paper uses questionnaires, interviews, mathematical statistical analysis and other research methods to study the structure of sports intelligence of high-level swimmers in colleges and universities.Motor intelligence (0.79) and specific motor intelligence (0.68), general motor intelligence including attention (0.69), motor perception (0.70) and thinking (0.60), specific motor intelligence including motor will (0.36), memory (0.85) and Sports image (0.52); there are significant differences in the structure of general sports intelligence and specific sports intelligence among swimmers of different sports levels.The purpose is to provide a theoretical reference for the improvement of the athletic intelligence level of high-level swimmers in colleges and universities, the scientific and systematic training of coaches, the enrichment of the theoretical system of sports training, sports scientific research and college sports teaching.
Educational management decision-making function model based on the perspective of technological change education

With the development of information technology and the maturity of knowledge economy, educational function management has risen to the stage of educational decision-making function management. It is one of the important issues of functional education management decision-making. Taking the bottleneck faced by the development of higher education decision-making mechanism as the breakthrough point, and the rapid development of technological change education provides opportunities for the optimization of educational decision-making mechanism, we should make full use of the core value advantage of technological change education in educational decision-making to improve the scientific and accurate level of educational management decision-making. The educational reform driven by technology is essentially the reform of educational technology. The essence of technology reshaping education is that technology reshapes the "technology for education".Technology and education, as the two driving forces to promote the development of human history, are closely related in depth.With the evolution of technology, the structure of education will change, change the whole arrangement of educational methods, processes and organizational forms, and reconstruct the structure of education system.Especially since the fourth industrial technology revolution, the impact and challenge of technology on education has become an important topic of common concern for the world and localization.This paper discusses the decision-making function model of education management from the perspective of education based on technological change.
Prediction method of financial market risk behavior based on big data mining algorithm

This paper predicts the default behavior of the financial market, reduces the bad debt rate in bank loans and securities investment, and discovers potential risks in time.The currently used technologies mainly rely on models with static weights, such as simple linear models.The advantage of these algorithms is that they are fast.But in a large number of samples, these algorithms also face inaccurate problems, requiring the use of machine learning modeling methods to train models.This paper proposes a modeling framework for financial data mining algorithms based on random forests, which can accurately predict microscopic behaviors and reduce financial risks.The experimental results show that the method proposed in this paper has certain application value, the prediction accuracy (precision) reaches 85%, and the recall rate (recall) reaches 90%.
Automatic Emotion Recognition of Text Stories Based on Deep Learning

Due to the immense amounts of texts on the internet and the qualitative nature of human sentiment and the characteristics of machine learning and deep learning algorithms, they are potential candidates to be appli-ed in textual sentiment analysis.To compare the effectiveness of different algorithms, processed data using TF-IDF is input into different algorithms respectively, and the accuracy scores of the trials using the identical data-set are recorded for comparison.It turns out that the Extra Trees classifier and the Random Forest classi-fier performed the best among machine learning algorithms, suggesting the significance for reducing overfitting in this specific task given that the less overfitting-proof Decision Tree has performed worse.LSTM has a better ac-curacy score than CNN, though it is to be noted that the former runs significantly slower than the latter, indicating efficiency to be a potential topic to be considered.