Reviewerly/exHarmony huggingface dataset:
Optimization Practice of University Innovation and Entrepreneurship Education Based on the Perspective of OBE

Innovation and entrepreneurship and education have become an important topic in China’s higher education. Based on pedagogy theory, this paper divides innovation and entrepreneurship education in universities into three levels: ideological education, innovative education and entrepreneurial education. Innovation is the content of higher education, and it is also the ability that contemporary college students must have. Only with education can there be innovation, only with innovation can there be entrepreneurship, and only with entrepreneurship can there be innovation. This is of great significance to the development of multi-level education, universal education, innovation and entrepreneurship education, and the improvement of education, teaching and child-rearing levels. In order to promote the optimization practice of college students’ innovation and entrepreneurship education, this paper designs a software system which is convenient for college students’ project application, project implementation, data verification and progress report. At the same time, it can help people review and select team members, thus greatly improving management efficiency.
Deep Attention Network with Clustering Design for Recommendation System

In order to provide users with better recommendations, it is particularly important to analyze the behavior of users tagging different resources. In this paper, an attention mechanism based on deep learning is designed to effectively capture the features related to the user’s long-term interests and current interests in the session simultaneously, and alleviate the impact of the user’s interest drift that is difficult to deal with by the current session recommendation algorithm on the recommendation accuracy. The main community discovery algorithms are applied to the clustering analysis of the label system, and their performances on different data sets are compared. Besides, we design a personalized recommendation algorithm for the label system. The experimental results show that the proposed algorithm can find the interests of different users and improve the quality of the recommendation system.
English Teaching Project Quality Evaluation Based on Deep Decision-Making and Rule Association Analysis

A large amount of course data has been accumulated in the long-term teaching activities of universities. It is of great research value to use the data resources to analyze the course teaching status and provide decision support for improving the course teaching quality. In this paper, we design and implement a course evaluation system based on association rules and cluster analysis, analyze the functional requirements of the course evaluation system, and pre-process the course evaluation data. Students’ performance data are analyzed by FP-growth association rules, and then clustered by K-means, which can improve the accuracy of data evaluation.The evaluation index system of university English teaching quality under the concept of “Thinking and Government” is established. With the results of the sample survey, the main problems of the evaluation method are summarized and analyzed, and corresponding suggestions are put forward, which provide an important reference for promoting the reform of college English course.
Deep Learning Techniques for Spatiotemporal Weighted Pose Taekwondo Features and Their Application in Tactical Analysis

Taekwondo behavior recognition has become a popular study issue in the past few decades due to its vast range of applications in the visual realm. The research of Taekwondo behavior recognition based on skeleton sequences has received increasing attention in recent years due to the widespread use of depth sensors and the development of real-time skeleton estimate methods based on depth images. In order to characterize the behavioral sequences, the majority of research work currently in existence extracts the spatial domain information of various skeleton joints within frames and the temporal domain information of the skeleton joints between frames. However, this research work ignores the fact that different joints and postures play different roles in determining the behavioral categories. Consequently, this paper presents a spatio-temporal weighted gesture Taekwondo features-based approach for Taekwondo recognition that employs a bilinear classifier to iteratively compute the weights of the static gestures and joint points relative to the action category in order to identify the joint points and gestures with high information content; concurrently, this paper introduces dynamic temporal regularization and Fourier time pyramid algorithms for temporal modeling in order to provide a better temporal analysis of the behavioural features, and ultimately employs support vector machines to complete the behavioural classification. According to experimental results on several datasets, this strategy outperforms certain other methods in terms of recognition accuracy and is highly competitive.
Construction and analysis of a business English classroom teaching quality evaluation system based on multimodal neural network model assessment

In this paper, we propose a method for effectively evaluating the quality of business English teaching in colleges and universities. The approach is based on a multimodal neural network model integrated with grey correlation analysis. By employing the optimal data clustering criterion, we identify teaching quality evaluation indices. Subsequently, we establish a teaching quality evaluation index system using a genetic algorithm (GA) optimized Radial Basis Function (RBF) neural network. Grey correlation analysis is then applied to assess the quality of business English teaching by considering the relationship between the correlation degree and the evaluation level. The results indicate a correlation degree exceeding 0.90, signifying excellent teaching quality. The reliability of the selected evaluation indicators, assessed through retesting, surpasses 0.700, validating the evaluation results.
The Evaluation and Development of University English Teaching Quality Based on Wireless Network Artificial Intelligence

This study introduces a novel approach to address deficiencies in prior teaching quality assessment systems by establishing a mathematical model for evaluation. Utilizing a neural network trained via a particle swarm optimization algorithm (PSO), the method develops a BP (Backpropagation) model fine-tuned by PSO to capture the intricate relationships among diverse indicators influencing teachers’ teaching quality assessment and resulting evaluations. Empirical findings highlight the effectiveness of artificial neural networks in constructing a comprehensive evaluation framework accommodating a wide spectrum of systematic assessments. This approach not only optimizes teaching methodologies but also augments overall teaching efficacy and the quality of educational delivery in a holistic manner. Moreover, it fosters the cultivation of multifaceted individuals proficient in English application skills, contributing to the development of high-quality talent in practical and complex domains. The convergence of advanced mathematical modeling techniques and computational methods, alongside the utilization of numerous indicators, aligns with combinatorial principles, exploring the permutations and relationships of diverse factors impacting teaching quality assessment.
Classroom Quality Evaluation of English Teaching Activities Based on Probabilistic Language Information

A crucial component of kindergarten instruction, collective teaching activities are a good way to educate young children on their overall development. The language field is one of the subjects taught in kindergarten, and it has to do with how kids learn to read, write, and speak. In order to improve teachers’ comprehension of children’s emotional reactions and language, this paper combines quantitative and qualitative methods to observe and analyze the quality of current language collective teaching activities in kindergartens. It also suggests knowledge logic and psychological logic for grasping the content of language collective teaching in kindergartens. To improve the quality of language teaching in kindergartens, it is crucial to adopt a variety of teaching strategies and organizational techniques, provide the proper tools and materials for language learning, pay attention to the key experiences of children learning the language, and enhance learning quality.
Scene Understanding: Do we even need Labels and Data ?

Despite their ever growing sizes, computer vision datasets are doomed to reflect only a tiny fraction of our world. The induced biases raise ethical issues and show that blind reliance on data can have critical outcomes when it comes to applications like autonomous driving. In this talk, we will investigate visual scene understanding in the era of large-scale datasets, self-supervised learning and LLMs. Following our recently published research we will question our use of machine learning and data for real and open world scene understanding by navigating through these questions: Are we making the best use of existing datasets ? Can we benefit from more knowledge priors ? Can vision algorithms perform in the unknown open-world?
Keynote Lecture - Towards Efficient Real-Time Perception in Self-Driving Cars: Methods, Challenges and Open Questions

Arguably the first mass-produced consumer-oriented intelligent autonomous robots, self driving cars are subject to stringent and conflicting design and operating constraints. On one hand, they need to accurately sense and understand their surroundings, predict changes in a dynamic and uncertain environment, and formulate safe navigation plans. On the other hand, a self-driving care must react fast, consume little power, while at the same time being cost-effective. A viable product must meet these constraints “in the wild”, with safety argumentations extending beyond empirical validation cases, towards foreseen and, sometimes, even unforeseen scenarios. Given this seemingly daunting task, in this workshop, we tackle the more modest — but still tremendously challenging — visual sensing and scene understanding problems. As human beings, we solve this problem effortlessly, in real-time and with astonishing accuracy. The true difficulty surfaces when we try to design systems that do the same: a step-by-step procedure (algorithm) eludes us. We find ourselves in need to resort to machine learning techniques to automatically find “good” solutions. But this opens a Pandora’s box. How do we define a good solution: should we use our own perception on a (unavodably limited) set of scenarios as the “gold” standard? Will such a solution work in other scenarios? How can we argue for safety? Can we explain the behavior of the system? Does its reasoning process resemble ours in any way? Finally, how do we reduce computational costs while not compromising predictive accuracy? In this workshop, we aim to briefly revisit the currently available methods that can help answer these questions. In our journey we shall touch on the three core elements of machine learning, the task - What does the perception system need to solve? - the experience - How does the learning algorithm interact with the world in order to provide a good solution? - and the performance measure - How do we provide feedback on what a good solution is? By presenting rigorous formulations for these elements, the methods we revisit open the path towards a working practical system, and partly answer our questions. Finally, while we analyze the merits and trade-offs in state-of-the-art methods, we use the opportunity to highlight open problems and challenges, from both a theoretical and purely pragmatic perspective.
Bubble Sort and Its Improved Methods

Bubble sorting is a simple sorting algorithm, and it is also a stable sorting algorithm. The principle is to repeatedly scan the elements to be sorted and compare each pair of adjacent elements, swapping when the pair of elements is not in the correct order. This process is repeated until no two adjacent elements can be exchanged, indicating that the sorting is complete. This paper describes the basic bubble sort and three improvement methods of bubble sort[1].
VoiceMitra - A Speech to Visual Translation Approach for Disabled

Nowadays, Internet’s expansion has multiplied greatly with a variety of information in all contexts available. Although it has been beneficial for the majority group of people, those with special needs, such as the deaf, have few resources at their disposal. The visual graphics and hand gestures can be used to communicate in such cases. The objective of this research is to develop a system that transforms speech and text input into a sequence of visuals representing sign language. This system basically consists of three modules- 1. Speech to Text, which converts the spoken audio into text format, 2. Language translator, wherein different standard languages can also be given as input to get the output and 3. Sign Language Converter, through which the given audio/text is converted to either hand gestures or related gif. These graphics are understood by them, and so a well understood communication can be established. The language translation modules give an average confidence level of 0.916823557. In addition to these three modules, the feature of saving the history in multiple languages is also added, making this system a user-friendly system useful in future as well.
“Canva Youth Movement” Training to Increase Youth Creativity on Graphic Design

The problem faced by faced by the youth in Pacarpeluk Village is the lack of basic skills in graphic design. basic skills that participants have in graphic design insights, lack of awareness about the lack of awareness of the career opportunities and market value of graphic design, lack of practical opportunities to develop graphic design skills, difficulties in marketing and distributing graphic design work by the youth of Pacarpeluk Village, and difficulties in building a social network or a community that accommodates to be able to support the potential of youth. So it is necessary to hold training to overcome this. The approach method for implementing this community service activity uses the Community Based Research (CBR) method. The stages of implementing the CBR method are identification of community needs, material planning, operational testing and operational assistance. Based on the results of the activities that have been carried out, as follows: Improve the skills of youth on graphic design media and add new insights for youth in graphic design.
THE INFLUENCE OF INFORMATION TECHNOLOGIES ON THE PROFESSIONAL DEVELOPMENT OF THE RESEARCH AND TEACHING STAFF

The article defines that the general processes of globalization, which have covered almost all spheres of human activity, stimulate the rapid development of an open information society. The modern educator is objectively forced to be more mobile, informed, critical and creative, and therefore more motivated to self-study and self-development. The purpose of the article is to study the prospects for the use of information technologies for the professional development of educators, the formation of the components of information technologies and the need for their use in improving educators’ professional level, namely the use of modern information technologies in professional activities and self-education of teachers and the use of information technologies in the professional growth of the research and teaching staff. The research has proved that the effectiveness of the use of information technology in the professional development of educators depends on the success of solving problems of a methodological nature related to the information content and way of using automated learning systems. The article has examined the influence of the use of information technology on the nature of scientific and cognitive activities of educators, intensification of their independent work with various electronic devices. The research has shown that the use of information technologies is the most effective tool for developing skills and abilities necessary for professional development. The article has also determined the influence of information technologies on the fundamental character of knowledge, diverse and thorough study of the subject area, formation of knowledge necessary for a reasonable explanation of the cause and effect relationships of the studied processes and phenomena, and knowledge of the laws of nature. The research has defined that the direct application of information technologies in the field of education will allow educators to form communication skills and communication culture, will help and teach to search for information and process it using various computer technologies.
CLASSIFICATION OF WEB RESOURCES IN THE MODERN INFORMATION SOCIETY

The article substantiates some features of the classification of web resources in the modern information society. The purpose of web resources is to strengthen intellectual capabilities in the information society, as well as to improve the quality of education at all levels of the educational system. To ensure the objectivity and comprehensiveness of the research, a complex of general scientific and pedagogical methods was used, including: analysis of the literature on the researched problem to determine the state of its development and research prospects; comparison to study the points of view of different scientists; systematization and generalization for conclusions; observation of the educational process. The use of educational web technologies is highlighted and the purpose of using web resources is analyzed. The main pedagogical goals of using web resources are highlighted. It is shown by which features digital educational resources (DER) can be described. It is clarified that information technologies are a condition for the development and use of digital educational resources. It is emphasized that the purpose of using web resources is to strengthen intellectual capabilities in the information society, as well as to improve the quality of education at all stages of the educational system. We considered the classification of digital educational resources. It was noted that they can be described according to the following characteristics: according to functional classification; based on the materials of scientific publications; by structure; according to the organization of the text; according to the nature of the source data; according to the intended purpose; by user group; by the availability of a printing equivalent; by information type; by the degree of didactic provision; by educational and methodical functions; by the nature of user interaction; by distribution technology and depending on the form of ownership. Note that the digital revolution will continue to fundamentally change the way citizens live, work and study. The spirit of innovation and entrepreneurship in education and training must be stimulated and supported by clear political will and efforts to bring innovation into everyone's lives. Innovative practices need to be shared, discussed and disseminated. In the context of new approaches, which also include a digital learning environment, thanks to the digital participation of both teachers and students, they should be constantly interested in improving courses and curricula, self-awareness of the need for continuous training in digital literacy, which will greatly contribute to the transformation of digital universities.
CHEMICAL SPONTON COMBUSTION AS A CAUSE OF FIRE DURING TRANSPORTATION AND STORAGE OF HYDROGEN PEROXIDE

The article is devoted to the study of the occurrence of a fire, the cause of which was chemical spontaneous combustion, which occurred in a 20-foot container in which hydrogen peroxide was transported. &#x0D; The technical issues of inspecting the fire site, establishing the cause of the fire are considered, and the relevance of the topic is also analyzed.
E-Class Record for Basic Education Department, University of Bohol, Tagbilaran City

E-class record systems offer easy data management and record-keeping for teachers, allowing for tracking and analysis of student success. A study aims to create, test, and develop a web-based e-class record for the University of Bohol Basic Education Department in Tagbilaran City for the 2024–2025 academic year. The study assesses the ISO-based quality of two e-class record formats and evaluates instructors' Excel and Google Sheets skills. The study examines the link between software quality and instructor technical knowledge and the quality differences between old and new e-class records. The study uses an ISO 9126 software quality model and a descriptive survey to assess the effectiveness of the proposed e-class record. However, the study found that respondents had limited knowledge of Microsoft Excel and Google Sheets, suggesting the need for a web-based e-class record with analytics.
Prediction of the turbidity parameter at the outlet of sand filters fed by wastewater

The work was carried out according to an innovative methodology that combines the approach of regression of Gaussian processes with the Broyden-Fletcher-Goldfarb optimization algorithm with limited memory in order to predict the turbidity parameter of water at the outlet of sand-filled filters used in micro-irrigation systems. The order of significance of the variables involved in predicting the “turbidity” parameter at the outlet of filters with sand filler has been established. In particular, the input variable “Turbidity” can be considered the most important parameter in making a forecast. The methodology applied in the work can be successfully applied to other filtration processes with the same or different types of filter media, but the characteristics of each filter and experiment must always be taken into account.
Equal opportunities in shaping pupils’ identity in a multicultural school environment. A pilotage concept of work for transcultural education in grades I–III

Shaping children`s and youth`s identities from the perspective of dynamically changing societies after the outbreak of the COVID-19 pandemic and the Russian attack on Ukraine is one of the fundamental problems of educational and upbringing institutions. There is a lack of system solutions that take into account in the teaching and learning process both the pupil’s home culture (often different from the environment of current residence) and the culture experienced in the perspective of life and education. Coexistence, building the cultural structure of individuals in multicultural societies, is possible by introducing, from the first stages of education, a transcultural approach to creating the school`s reality. It also balances the chances of each pupil to find its references: experiences and values that shape individual and collective identity while establishing protection against “getting lost”. This article aims to present a pilot concept of work, which points to theoretical and practical solutions in the field of education for trans-culturalism in grades I-III. The concept should then be verified in the school environment from both teachers’ and students’ perspectives. It will make it possible to determine whether the planned activities and how they are presented are appropriate for children at the first stage of education and whether, based on the prepared material, it is possible to balance the chances of shaping the identity of individuals in multicultural environments.