Reviewerly/exHarmony huggingface dataset:
Research Status and Prospects of Artificial Intelligence Technology Applied to Education and Teaching

Education is moving towards the era of intelligence, and the integration of AI technology and education has become an important trend for future educational changes. In order to effectively promote the application of AI technology in education teaching, we need to correctly grasp the development of AI technology. The article uses CiteSpace software to visualize and analyze the sample data, and uses subject search to analyze the journals related to AI technology and education teaching from 2010 to 2022 included in China Knowledge Network. Based on the analysis of the number of literature publications, research hotspots and research institutions, conclusions are given, corresponding reflections are proposed, and the research themes and trends of AI technology applied to education and teaching in China are summarized. It is found that the overall trend of the number of publications is on the rise, and the research on the combination of AI technology and education teaching is influenced by various technological developments and policies.
Study of Task Scheduling Algorithms for Energy Minimization in a Cloud Computing Environment

Real-time applications are supported and permitted to run on virtualized resources that can be dynamically provisioned in a cloud computing environment. It is one of the effective platform services that enable a wide range of cloud infrastructure-based applications. With the aid of workflow systems, the construction of current scientific applications may now be completed in an uncomplicated and time-efficient approach. Implementing efficient workflow scheduling algorithms makes it feasible to increase utilization of resources, hence improving the performance of cloud computing and meeting user expectations. In cloud computing, the scheduling of jobs can directly affect the total amount of resources utilized and the operational expense of a system.. In this study, we have studied and discussed advantages and disadvantages of the various existing task scheduling methods employed by cloud service providers, such as Particle swarm optimization (PSO), Crow search algorithm (CSA), and Sparrow search algorithm (SSA). Several variables, including reaction time, load balance, execution time, and makespan, are examined to determine the best effective strategy for task scheduling under any conditions. Based on our research, we have concluded that CSA, CPO, and SSA are the most effective algorithms for reducing energy consumption, boosting performance, and shortening makespan.
Introductory Education for IoT Technology for First-Year Students

In Internet of Things (IoT) systems, various sensors are used to measure real-world phenomena and analyze the measured data to provide valuable services. In this paper, we develop educational materials for students to understand the principles and mechanisms of sensors, which are the basis of IoT systems, using sensors to measure and analyze familiar physical phenomena. Students experience how simple physical phenomena can be automatically measured using sensors and tablets. As a result, students learn to use sensors and applications that measure sensor data.
Security against Ransomware Attack in Medical Healthcare Records Using Blockchain Technology

As a matter of fact, Ransomware Attack is considered an essential threat to cyber security. This type of intimidation often causes an immense loss. For instance, the electronic records of medical healthcare have been one of the main targets of Ransomware attacks. This could be attributed to the fact that sensitive data belongs to patients. In this paper, we use Blockchain technology to be an appropriate solution for Ransomware attacks. It is believed that the procedures taken by this technology, specifically in the health sector, will create a defense wall that would protect patients' data. We mainly intend in this paper to enhance Medical Healthcare Records (MHR)-based healthcare through the utilization of the Ethereum Network to treat and investigate unusual transactions. In order to achieve this objective, an astute arrangement has been developed so that MHR will be sent via the Ethereum Blockchain network. Thus, MHRs are protected from any Ransomware attacks, especially from those attackers who pretend to be patients and attempt to penetrate the web through their claimed records. Finally, the recommended system could be evaluated through the metrics utilized for evaluating performance, including the cost that reduced the cost to 855304 Wei and the execution time for raising patient records on Ethereum Network compared to the standard system by 60%, immutability, data storage, and estimated time required by attackers to attack the block.
Young Professionals

I have a challenging PhD situation. I began my PhD in 2017 part time, meaning that I was working full-time and taking classes at night. Due to this, I was not privy to the normal PhD experience in some ways. I was not exactly a first year or a second year because I was studying along at my own pace on my own time. Due to this, I did not meet fellow students in my “year” or have a connection to anyone else in the program. During my already strenuous coursework, this led to feelings of loneliness. In 2020 it was time for me to join a lab and start my thesis research. I met a professor, Dr. Yang Cao, who I automatically connected with and decided to join his group at the University of Connecticut (UConn): Electrical Insulation Research Center (EIRC). To accommodate my research, I went part time at my day job, allowing me to spend full days at the university lab. This was the best decision I have made in my PhD endeavors, and I began to unveil the absolute best part of the PhD process, my lab mates.
Research on hovering control system of four rotor UAV in indoor environment

Aiming at the problem of position deviation and low precision of quadrotor UAV in fixed-point hovering in indoor environment, this paper analyzes the flight principle of quadrotor UAV, establishes a quadrotor UAV system model, and simplifies and linearizes the model. At the same time, according to the quadrotor UAV model, the PID control technology is used to design the attitude controller and position controller, and the feedback control system is realized. Finally, the software and hardware platform of the quadrotor UAV is built, and the PID control algorithm is realized. The experimental results show that the attitude angle error is about ± 3 °, and the position error is about ± 2.3cm/s, which achieves a good hovering effect and solves the problem of low indoor fixed-point hovering accuracy of the quadrotor UAV.
Lightweight semantic image synthesis with mutable framework

Image synthesis is a critical task in various computer vision technologies, and lots of methods tried to translate semantic images into realistic ones for controllable synthesis. With the increasing image resolution, networks are becoming larger, and applications of related methods are restricted. To alleviate the problem, we propose a lightweight mutable network for semantic image synthesis. The network is based on generative adversarial networks. We introduce the feature pyramid architecture to the generator and reduce the hidden node numbers. We also design a mutable scheme where the pyramid will involve fewer layers for smaller images. To improve the performance of the lightweight generator, we further propose a weighted discriminator and a refined loss. The experiments on several public datasets show that our method is effective and achieves competitive performance, proving that a small network can also achieve high-quality semantic image synthesis.
Explanation and the Role of Weak Constituents

This paper is concerned with the role of weak constituents in explanation. Merge is usually motivated by selection. This study shows that it is also triggered by weak constituents, which can be divided into three types: syntactically semantically and prosodically weak types. The syntactically weak constituents cannot project their label, the semantically weak constituents must have their antecedents, and the prosodically weak constituents must have their hosts. It will be claimed that all the three types of weak constituents require Merge in order to complement their weakness. This claim is shown to shed light on various peculiarities, including the EPP effects, the peculiarities of there-constructions, the distribution of it, and the peculiar patterns of anaphoric constituents like the null operator, PRO, and anaphors.
Analysis of Education Needs for Instructional Competency of Lifelong Education Instructor in China

The purpose of this study is to improve and strengthen the teaching capabilities of Chinese lifelong education instructors by identifying the importance and current level of teaching capabilities recognized by lifelong education instructors and ranking educational needs. To this end, a survey of 259 Chinese lifelong education instructors was conducted for four weeks from October 1, 2022.BR As a result of this study, a difference test between the important level of teaching competency and the current level was conducted to determine the priority according to the teaching competency education needs of lifelong education instructors. As a result of the analysis, there was a statistically significant difference in the difference between the important level and the current level in teaching competency.BR Program development capabilities, self-management capabilities, learner progress management capabilities, teaching method development capabilities, learning resource and information collection capabilities, course planning capabilities, learning counseling and consulting capabilities, integration of learning content, concentration development capabilities, and motivation capabilities. In the Focus model, a total of 10 items were derived from teaching method development, curriculum preparation, motivation, teaching media utilization, communication, ice breaking, self-management, learner progress management, concentration, learning counseling, and consulting.BR Borich
Development of Flashcard Media in Improving Cultural Knowledge of Early Childhood Students

The purpose of this study is to develop flashcard media for introducing the culture of Central Java. This study also used development research (R&amp;D), which was carried out in two trials, namely the one-to-one trial and the small group trial. The subjects in this study were to get to know the culture of the Central Java region, while the objects in this study were 10 students. The data were collected using guidelines in the form of observation, interviews, questionnaires and documentation. The analysis used is qualitative and quantitative data analysis. The results of this study indicate that the Flashcard media developed through a series of trials and validations is declared feasible. The results of the one-to-one trial get a percentage of 87.50%, and the results of the small group trial get a percentage of 83.60%; both categories are very good or very decent. Therefore, based on the results of this study, it can be concluded that Flashcard media is appropriate for use in learning to introduce Central Java regional culture to students.
Indonesian National Educational Innovation E-module based on a Humanistic Approach

Student boredom in participating in system management learning in distance learning is the main problem in this study. This has an impact on ineffective learning processes and outcomes. This research aims to develop a Humanistic-based Indonesian National Education Innovation E-Module. The method used is research and development with the ADDIE model (Analysis, Design, Development, Implementation and Evaluation). The measurement instruments used were questionnaires on material content, accessibility and e-module design. The subjects of this study were experts and students taking the Indonesian National Education Innovation course, as well as lecturers supporting the course. The data analysis used was qualitative and quantitative using descriptive statistical analysis techniques. The research findings show that the Indonesian National Education Innovation E-module product has fulfilled the feasibility and practical aspects after being tested in the field with users and experts. Further research is needed to test the effectiveness of the e-module and whether it can improve student learning outcomes.
Improved Background Subtraction with Histogram Equalization and Adaptive Thresholding

In computer vision, the fundamental task of background modelling entails removing the static background from a scene in order to extract the foreground objects.Several computer vision applications, including object tracking, motion detection, and video surveillance, require this process as a prerequisite.For background modelling, a variety of techniques have been put forth, from straightforward threshold-based strategies to complex deep learning models.This paper presents a method that includes the K.M.M. baseline model pipeline followed by two pre-processing techniques that address the varying illumination problem.We also go over the difficulties associated with background modelling, including lighting variations, camera jitter, and PTZ, and we highlight some potential future research directions in this area.Finally, we compare the various methods based on their computational complexity, robustness, and MIOU score, and we offer some guidelines for picking the best method for a particular application.
A Self-organizing Map with Neural Networks Classifier Technique for Face and Handwritten Signature Recognition System in DIP

Automatic biometric recognition for individuals is a challenging problem, which has become increasingly popular in recent years by various purposes in different fields. Face and signature identification is the main issues, and until the date, no methods deliver a powerful solution to all circumstances. In this work presents an advanced technique is used for both handwritten signature and human face recognition. Some of the most common methods used in image-based approaches are 2D-DCT, data removal from images, and self-organizing maps utilising neural networks. The discrete cosine extracts method extracts the feature in face and handwritten signature based on the image color. The construct feature vectors calculate the DCT coefficients. A neural network classifier with SOM is used to categorize feature vectors based on the DCT which are used to classify the problem is present or not in the database. Both of the biometrics images are accomplished with the power rates of the grayscale pixels into many groups, and it also trained with the neural network classifier. The obtained result was evaluated and executed in MATLAB environment using a various image database of the face and handwritten images which consist of different dimensional images. Also, it observes the variation of efficiencies of the system for multiple numbers of deep layers and epochs to make comparison and contract along with a high recognition rate of 83.06% for every five trails. This technological advantage is both memory and speed usage, which makes high-speed performance and less computational requirement.
How Virtual and Augmented Reality Can Boost Manufacturing

Immersive technologies, namely Augmented Reality and Virtual Reality, have immense capacity to improve manufacturing processes in any kind of industry. These are not newly created technologies, some documented experiments date back to the 1960’s, initially with military applications in the United States of America and also development in Universities. Recently an increase in adoption, due to considerable reduction not only in the cost of production of the electronic and optical equipment, but also in the cost and ease of developing experiences with software for use, often free of charge. This article presents not only the theory, existing equipment and use cases of each of these two immersive technologies, but also, through five different themes in the industries (Simulation and Training; Remote Field Services; Team Collaboration; Sales and Marketing; Product or Project Design), the article presents possible use cases and an indication of how to plan and implement experiments with effective results.
Multi-key Homomorphic Secret Sharing from LWE Without Multi-key HE

Homomorphic secret sharing (HSS) allows participants to share their private data between computing servers for the joint computation of a public function without fully homomorphic encryption. It serves as a competitive alternative to somewhat/fully homomorphic encryption (S/FHE) in some scenarios. However, the existing HSS schemes capable of computing on multi-source data either only support evaluating polynomials whose degrees are limited by the number of participants, or involve relatively complex multi-key HE in their constructions. In this paper, we introduce the formal notion of multi-key HSS, and propose a multi-key two-server HSS scheme from LWE without multi-key HE, by leveraging the technique of homomorphic linear combination that was previously used to construct multi-key FHE from GSW-FHE in [18]. As a result, our scheme supports server-aided secure computation of restricted multiplication straight-line (RMS) programs over private data from multiple independent sources, and the number of input clients and the degree of evaluated polynomials can be as high as a polynomial in the security parameter. Finally, we prove the security of the multi-key HSS scheme, and demonstrate its implementation performance.
Study on Digitization Level Evaluation of local Chronicles in Sichuan Province

Local chronicles, as documents to record the history, culture, politics and other aspects of all parts of our country, have always been the cultural heritage of the Chinese nation, and have guiding significance for our country to continuously carry out the in-depth development of all parts. With the continuous advancement of the information age, the information and digital development of local chronicles has become an inevitable trend. However, the digitalization level of local chronicles across the country is uneven, and there is no set of quantitative standards to measure the degree of digitization development of local chronicles, which makes the process of digitization of local chronicles slow. Based on the national requirements for the digitized process of local chronicles since the 14th Five-Year Plan, this paper establishes an index system for the digitalization level evaluation of local chronicles in Sichuan province. According to the index evaluation system, the fuzzy comprehensive analysis method is used to comprehensively evaluate the digitalization level of Sichuan local chronicles. Finally, according to the evaluation results, this paper puts forward some practical and developmental suggestions.
Reading Attitudes of Fourth Year English as a Foreign Language Students

The present exploratory study sought to identify the attitudes towards reading for pleasure of a group of fourth year English as a Foreign Language (EFL) majors after taking mandatory literature courses. A total of 45 students from the School of Modern Languages at a public university in San José, Costa Rica participated in this investigation. In order to elicit the participants’ attitudes and motivations both before and after entering the university, an online survey was administered. The results of the survey showed that after entering the university almost half of the participants kept good reading habits, apart from the mandatory readings. Main findings also reveal that the main pre-university reading motivators suffered a change after entering the university. Although personal enjoyment and relaxation were maintained, motivators related to the general improvement of language skills obtained a higher relevance for the students. The survey answers also suggested the literary works read in class play an important role in the students’ voluntary reading practices. Practical implications are discussed.
Tensiones y consensos en torno a los fenómenos educación, tics y políticas públicas: reflexiones desde el saber y poder

Teachers immersed in the digital world must use a set of technologies to achieve the objectives of their teaching activity; however, there is no doubt about the challenges generated by the incorporation of new information and communication technologies (ICTs) in education, which also produce a set of problems typical of the asymmetrical relations of knowledge and power, within the framework of what knowledge societies mean in the global south, a space identified by inequalities of all kinds. In this order of ideas, the objective of the article is to discuss the main tensions and consensus around the phenomena: Education, Tics and Public Policies, dichotomously assumed as interrelated concepts and social phenomena of global scope. For the theoretical development of the research, political materialism was used and, methodologically, the documentary research technique and the hermeneutic interpretation of the texts reviewed. It is concluded that ICTs, as part of the technological evolution and their contribution to contemporary educational practices, both in their modalities and their potential for expansion to other educational models, should be a priority in educational policies.
Improving the Legal Support of Linguistic and Cultural Aspects of Language Learning at School

The main objective of the study was to analyze ways to improve the legal support of the linguistic and cultural aspects of language learning at school. The key method used involved a combination of modern modeling techniques. The specific topic is legal relations for language learning. The novelty is a model of legal support. Legal regulation of education is a historically conditioned form of organization of the educational process, formed as a result of the gradual growth of the role of state institutions in the performance of regulatory functions and the development of social relations. The new requirements faced by a modern teacher, his training and professional quality, make it necessary to take into account the experience and the latest achievements of other countries in the field of educational policy, in particular, in the field of foreign language teaching, as well as to identify and overcome the negative ones. In the conclusions of the case, based on the results of the study, the key aspect of improving the legal support of linguistic and cultural aspects of language learning in school was characterized.