Reviewerly/exHarmony huggingface dataset:
Effectiveness of Balanced Nutrition Guidebook Media on Vegetables, Iron and Index Consumption Body Mass in Adolescent Students at Boarding Schools

Background : Knowledge of food and nutrition is one of the factors that influence nutritional status, so formal and non-formal nutrition education is needed. Efforts to increase knowledge and attitudes regarding balanced nutrition are through the process of nutrition education. Nutrition education carried out must be in accordance with the conditions in Islamic boarding schools which limit students from using electronic media, one of which is by using pocket book media. Purpose : Knowing the effect of nutrition education using pocket books on balanced nutrition guidelines on vegetable and fruit consumption, iron consumption and the BMI index in teenage students at Islamic boarding schools. Method : This research is community nutrition research. This type of quasy experimental research with a research design pretest – posttest control group design. The sample consisted of 20 samples from the treatment group and 20 samples from the control group. The data collected are sample identity, knowledge and attitudes. Statistical analysis using testWilcoxon andMann whitney. Results : The average score of vegetable and fruit consumption practices for the two groups has increased. In the treatment group, the increase before and after the intervention was 59.00 ± 28.19. The control group also experienced an increase between before and after being given the intervention of 26.70 ± 24.0168.30. As for iron consumption in the treatment group, there was an average increase in the difference in Fe consumption before and after the intervention was 1.27 ± 1.24. The control group also experienced an increase in the average difference in Fe consumption between before and after being given the intervention of 0.96 ± 1.79 Nutrition education using pocket books on balanced nutrition guidelines had an effect on vegetable and fruit consumption and iron consumption withp value = 0,001 (p &lt; 0,05). Conclusion : Nutrition education using pocket book media on balanced nutrition guidelines has an effect on consumption of vegetables and fruit, consumption of iron in teenage students at Islamic boarding schools.
GENDER RECOGNITION AND AGE DETECTION USING HUMAN FACIAL FEATURES

One of the active study fields in recent years is the extraction of information from the human face. Numerous investigations on the identification of the most prevalent face variety, including age and gender, have been done. The approach for automatically determining a person's age and gender from their face is suggested in this paper and is based on convolutional neural networks and support vector machines. The four steps of this method are face detection, pre-processing, feature extraction, and classification. A variety of convolutional neural networks have been trained to detect faces in live feed and also determine their age and gender are part of our system. Our model was trained using Adience benchmark dataset for age and gender prediction available on Kaggle, which has produced positive results. Keywords: Convolution neural network, Support Vector Machine, Face Detection, Multi-Task Cascaded Convolution Neural Networks, Principal Component Analysis, Adience benchmark dataset.
Forming Dataset of The Undergraduate Thesis using Simple Clustering Methods

Each university collects many undergraduate theses data but has yet to process it to make it easier for students to find references as desired. This study aims to classify and compare the grouping of documents using expert and simple clustering methods. Experts have done ground truth using OR Boolean Retrieval and keyword generation. The best cluster was discovered by the experiments using the K-Means, K-Medoids, and DBSCAN clustering methods and using Euclidean, Manhattan, City Block, and Cosine Similarity metrics. The cluster with the best Silhouette Score compared to the accuracy of the categorization of each document. The K-Means clustering method and the Cosine Similarity metric gave the best results with a Silhouette Score value of 0.105534. The comparison between ground truth and the best cluster results shows an accuracy of 33.42%. The result shows that the simple clustering method cannot handle data with Negative Skewness and Leptokurtic Kurtosis.
INTERACTIVE E-MODULE: THE ECONOMIC LEARNING SOLUTIONS IN HIGH SCHOOL DURING THE COVID-19 PANDEMIC

The purpose of research and development of this Interactive e-module is to provide a solution for studying Economics in high school in the sub-subject Basic equations of Accounting in online learning during the Covid 19 Pandemic. This interactive e-module research and development activity adopts the Borg Gall (2003) model which consists of 7 stages (needs analysis stage, initial draft development, validity test, draft revision, group trial, and revision stage). The results of research and development show that this Interactive e-module discusses three learning module units containing Economics material with the sub-subject of Basic Accounting Equations which is equipped with several interesting interactive features such as QR Code, music, YouTube videos, quiz applications, and games as support. students learn. This interactive e-module is very appropriate to be used as a solution for learning Economics during the Covid 19 Pandemic.
Design Swarm Intelligence Algorithm Based on Artificial Intelligence in Teaching Quality Evaluation Reform System in Colleges

The maturity of big data has led to the emergence of artificial intelligence technology (AIT), and AIT has also begun to become a hot spot for domestic and foreign experts and scholars.Today, artificial intelligence has been applied in many fields such as military, life, and work.This paper first introduces the basic concepts and theories of AIT, expands the swarm intelligence algorithm based on artificial intelligence (AI), then explores the swarm core algorithm intelligence algorithm, and discusses the problems existing in the current university teaching quality (TQ) evaluation system in my country.The application of AI group algorithm in TQ evaluation in colleges and universities.(C A U) The experiment shows that compared with the traditional T Q evaluation, the AI-based swarm intelligence algorithm is better in the C A U T Q evaluation system, which has played a positive role in promoting the C A U education evaluation system in my country.
Combining Big Data Analysis to Study the Autonomous Learning Ability of Higher Vocational Colleges

Nowadays, driven by the rapid development of China's economy, the level of science and technology has also been significantly improved.Big data has begun to develop in a new direction and entered the era of big data.It is also a trend to combine the development of big data with education.At present, the study diversification, the colleges and universities for class, class, flip the incoming class, autonomous learning and their own development needs of higher vocational students, but the lack of traditional learning to cultivate students' autonomous learning ability, therefore, in the big data environment, how to improve the teaching in colleges and universities management strategies to improve their autonomous learning ability and improve the students' learning efficiency is imminent.On the basis of the research status at home and abroad, this study on the development of big data and study of the influence of the higher education teaching reform, and based on some universities in Zhejiang, 100 students and 4 teachers through the way of questionnaire survey and in-depth interviews, to understand the status quo of students' autonomous learning and the era of big data problems, Finally, management strategies are proposed from learners, learning guides and schools to further optimize the current management strategies of independent learning for vocational students in colleges and universities, and improve the learning efficiency of vocational students in network independent learning.
User Analysis Based on Short Video and Live Streaming

With the development of the mobile internet, short videos, and live streaming have brought new development models for social interaction and consumption of users.From the perspectives of user group classification and behavior analysis, the article takes short video and live streaming as an instance, and then figures out the similarities and differences between the users.At the same time, user characteristics are also focused and compared.In fact, it takes a video anchor as an example to analyze, which is helpful for enterprises to better understand the basic behavior characteristics of users.According to the needs and preferences of users, video anchor can better grasp the development direction of short video and live video with goods, so as to formulate more scientific and effective development strategies.
Image Steganalysis Method Based On Improved Smote And Focal Loss Algorithm

Aiming at the performance degradation of steganalysis model caused by unbalanced sample data set training, a model design method based on improved SMOTE algorithm and Focal loss algorithm is proposed.The improved SMOTE algorithm is used to synthesize new samples to balance the data set.At the same time, the Focal loss algorithm is introduced to pay more attention to the difficult samples and optimize the training process of the model.In the simulation test of the model on BOSSbase1.01data set, under the training of the unbalanced sample set, the detection rate is significantly higher than the similar Zhu-Net method, and the average detection rate is increased by 0.9%, up to 1.9%.This proves the effectiveness of this method and improves the accuracy of model detection.
Face Recognition Technology in English Online Examination System

The English test system based on B / S structure or the automatic scoring system of English test for oral English based on sequence matching is mainly designed to improve the performance of the English online test, using the judgment feedback balanced adjustment method to collect information, and realize effective marking and scoring through matching the correlation function features.In order to improve the accuracy of user verification and to ensure the intelligence of the English online test system, it is necessary to apply face recognition technology.The final experimental results also show that the English online test system based on face recognition technology can quickly generate test papers and score them, which is more efficient and practical than the first two systems.
Chinese Language and Literature Classics Reading under Big Data Network Media

In the big data network media environment, people have more and more ways to obtain information and become more and more convenient.As a ladder of human progress, books should attract everyone's attention, especially the reading of Chinese classics is of great significance to improve Chinese language and cultural literacy.The purpose of this article is to study the reading of Chinese language and literature classics (hereinafter referred to as classics) under big data network media.This study uses interviews and questionnaires to investigate the status quo of classic reading, and analyzes the necessity and urgency of using big data network media technology in classic reading.Through the research and analysis of relevant literature, this paper puts forward the needs and influencing factors of classic reading in the big data network media environment, and provides suggestions on multiple levels to improve the ability to read classic names in the big data network media environment.Starting from the context of the current era of big data network media, this article explores the real situation of classics in the era of big data network media from the perspective of communication, trying to analyze the environment in which classics are formed, and explore the environment of the new media era.Missing, which in turn provides a new perspective for the study of classics.Through research, it is found that among the reading channels, the number of people who tend to read classics through mobile phones is the largest, reaching more than 30%.Computers and tablets and other terminals have the lowest proportion of reading.It can be found that small and flexible mobile devices are more popular among the masses.It is concluded that the study of classic reading under big data network media has certain practical significance.
Development of College Students' Innovation and Entrepreneurship Information Platform Based on Computer Technology

At present, China has entered an innovation-driven era.The society's expectations for high-quality innovative and entrepreneurial enterprises are getting higher and higher, and many people's enthusiasm for innovation and entrepreneurship has been ignited.In today's market, there is a great need for an information support platform for innovation and entrepreneurship to help college students attract investment and improve the execution efficiency and success rate of innovation and entrepreneurship projects.This paper constructs an innovation and entrepreneurship information platform for college students.The innovation and entrepreneurship platform uses Internet crawler technology, Java development language and active problem recommendation method to integrate resources, investment and services.This platform can provide users with a lot of information and connection methods about innovation and entrepreneurship, and conduct mining and analysis on current market trends.
Design of English Practice System Based on Cloud Computing Technology

With the development of information technology, the field of education has gradually used information technology as an important tool to improve teaching efficiency and teaching quality.Nowadays, schools have relatively high requirements for students' self-learning ability.In order to meet the students' self-learning needs, this paper constructs an English practice system based on cloud computing technology.The system is self-adaptive, can screen and sort the topics, and provide users with an efficient and practical English practice system.
Research on the interactive development of higher vocational education informatization and regional economy

As an important part of the higher education system, higher vocational education provides necessary talent and intellectual support for the development of regional economy and plays an increasingly important role in the development of regional economy.Through the informatization of higher vocational education, we can strengthen the linkage and interaction with regional economy, so as to realize the interactive development of higher vocational education and regional economy.It is the common goal and mission of higher vocational education.Summarizing and refining the development characteristics of China's vocational education informatization and exploring the leading direction of China's vocational education informatization are the inevitable requirements to accelerate the realization of education informatization and lead the modernization of education.This paper expounded the relationship between higher vocational education informatization and regional economic interactive development from four aspects: the necessity of higher vocational education informatization and regional economic interactive development; the current situation and problems of the interactive development of higher vocational education informatization and regional economy; the paths and Countermeasures of the interactive development of higher vocational education informatization and regional economy; the development trend of higher vocational education model in China.
Cost calculation method and application of GIS equipment in substation based on asset life cycle management theory

With the continuous advancement of the construction of smart grids, new situations, new demands and new development models have put forward higher requirements for substations, which are important supporting nodes of the power grid.In this paper, the implementation of asset life cycle management in substation engineering projects is to conduct overall and entire process management of all stages and activities in the asset life cycle of substation engineering projects.Starting from the overall project, reflecting the requirements of the entire life cycle of the project, it not only includes the goals of the construction period, but also pays more attention to the operation phase of the project, and highlights the overall efficiency and benefits of project management.Life cycle cost theory can indeed achieve good effects such as reducing the life cycle cost of substation engineering and improving reliability.
Application of Computer Science Technology in Foods Teaching

With the continuous computer technology and the rapid development of science and technology, the computer is more and more widely used in education and teaching.In today's era, computer science and technology are contained in all stages of teaching, multimedia teaching, data processing system has entered the classroom, and computer science and technology has been widely used in education and teaching.
Based on the Origin Analysis of the Innovative and Entrepreneurial Talent Training Mode of Artificial Intelligence Majors in Applied Undergraduate Colleges

Relied on artificial intelligence major, the importance of innovation and entrepreneurship education in applied undergraduate colleges were analyzed.The problems and reform measures of the innovation and entrepreneurship talent training model for artificial intelligence majors in applied undergraduate colleges were proposed and expounded.Innovation and entrepreneurship education was promoted through four aspects: target orientation, curriculum system construction, industry-teaching integration and competition promotion, which could comprehensively improve students' innovation and entrepreneurship ability and comprehensive quality.Origin was mainly used to analyze the artificial intelligence curriculum system.Compared with the traditional talent training mode, the proportion of practical courses in the training program had been significantly improved, and more attention was paid to the cultivation of students' innovation and entrepreneurship ability.Other engineering majors could also get reference from this paper.
Analysis on the influencing factors of College Students' irrational consumption

With the rapid development of modern technology, economy and Internet, social commodity life is increasingly rich and colorful, among the various consumer psychological behaviors, the proportion of irrationality is also increasing.This research chooses to explore the impact on irrational consumption from three internal customer needs-social needs, pressure relief needs and low-cost needs.At the same time, it explores the regulatory role of emotion in the process of need acting on irrational consumption, and establishes a link between irrational consumption and guilt.
Teaching Reform Design of Applied Advanced Undergraduate Course Based on Fogg Model

Aiming at the analysis of the teaching status of the core professional courses in applied undergraduate, taking the advanced course "Distributed System Application Practice" as an example, a Fogg model-based teaching design scheme for application-oriented undergraduate software engineering students was proposed.combined with the learning situation of application-oriented undergraduate students, complex engineering problems were designed to construct a system of students' comprehensive thinking ability, analysis ability, solution decision-making ability, and tool application ability, the purpose is to design a set of suitable for applied undergraduate software engineering practice teaching systems, to improve students' ability on solving complex problems in software engineering, to increasing the students' professional identity, laying the foundation for the students to achieve high levels of employment.According to the reconstructed teaching content, the corresponding weight coefficient and the weighted average method is used to calculate the achievement degree of the examination results.The data on students' achievement degrees provides important support for the continuous teaching reform of the teaching team.
Research on the Factors Influencing the Performance of the Art College Entrance Examination Based on Artificial Intelligence Technology

The application of artificial intelligence technologies has influenced many aspects of education, including the learning style of students, the teaching of education faculty, and the administration of colleges.However, the research focusing on the art college entrance examination in China is limited, and the research methods are somehow outdated.This article will introduce the state-of-the-art classifying methods for modeling the imbalanced data sets (Imbalanced-Ensemble) and some popular interpretation tools (Permutation Importance and SHAP) to analyze the details of the influencing factors of the art exam performances and NCEE performances of students from one of the most famous art colleges in China: Beijing Film Academy.Many important supplementary data collected manually from the website also play an important role in modeling and interpretation.The conclusions of this article will help more students to make more wise decisions when applying to schools and will help the policymakers of schools to adjust the details of the art exam for promoting the development of the admission of higher education of art.
Design and Practice of Blended Teaching in Smart Classroom Environment

Online and offline blended teaching is the mainstream teaching mode of current classroom teaching.The emergence and application of smart classroom has injected new vitality into blended teaching, which is more convenient for the implementation of blended learning Teaching and the collection and analysis of teaching data.Starting from the concept and model of smart classroom, this paper discusses the design and practice of online and offline blended teaching in the smart classroom environment from the perspectives of teaching mode design and teaching method innovation.The purpose is to help the teacher use smart classroom to improve classroom teaching quality more efficiently and improve students' learning autonomy and enthusiasm.
Construction of General Development Model of Learning Analytics--Data Visualization Analysis Based on Citespace

With the development of educational informatization, a lot of data has become an important basis for researchers to discover the learning law of learners.Therefore, Learning Analytics (LA) emerged.It has become an important tool and starting point for researchers to know the students' learning process in education.However, researchers have not conducted in-depth research on the development and evolution law of LA.The study makes a visual analysis of the literature about LA from 2011 to 2022 by using Citespace software.Firstly, according to the cluster map and cooccurrence map of key words, the research hot spots are summarized in LA.According to the time zone map and the number of articles published, four development stages of LA are summarized.Secondly, according to the research hotspots and development stages, the internal development logic of LA is deduced.Thirdly, the general model of LA development is constructed.Finally, the author summarized and looked forward to the development direction of LA in the future.
The Role of Orchestration in Shaping Musical Form

We introduce a method for computer-assisted analysis of orchestration. We also look into the role that texture and orchestration have in structuring musical form. The method comprises a numerical representation, a hierarchy of ‘textural situations’ and measures for heterogeneity, diversity and complexity of orchestral-textural configurations.