Reviewerly/exHarmony huggingface dataset:
The Security of Database Network Model Based on Fractional Differential Equations

Abstract This paper discusses a class of inhomogeneous fractional differential equations with boundary conditions. At the same time, we apply it to the database network encryption model. In this paper, the fractional differential equation algorithm segments the big data in the cloud environment, and the homomorphic algorithm is used for encryption. We encrypt the algorithms and store them in the database, respectively. When the model is queried, the corresponding ciphertext data in the database can be matched according to the type of query statement. The experimental simulation realizes the information retrieval and statistics in the case of full ciphertext on the server-side.
The Development of Problem-Based Learning E-Modules on Correspondence Materials

Abstrak: Riset ini memiliki tujuan untuk mengembangkan bahan ajar berupa E-modul berbasis Problem Based Learning (PBL) pada materi persuratan untuk membantu proses pembelajaran di SMKN Mojoagung kelas X OTKP. Riset ini menggunakan R&amp;D dengan model 4D yaitu Define, Design, Develop, tetapi tidak sampai Disseminate karena..keterbatasan waktu dan biaya. Teknik analisis data menggunakan kuantitatif dan kualitatif. Terdapat 20 responden yaitu siswa kelas X OTKP 3. Produk dari riset pengembangan ini diuji oleh ahli materi, media, dan bahasa. Dari hasil validasi diketahui bahwa kelayakan materi dari validasi ahli materi sebesar 90 persen, validasi ahli grafis 96,3 persen, dan validasi ahli bahasa 80 persen. Dari hasil validasi ketiga validator tersebut diperoleh rata-rata sebesar 88,7 persen dengan kategori sangat layak. Hasil respons siswa memperoleh rata-rata sebesar 78,8 persen dengan kategori positif di mana dapat dinyatakan bahwa E-modul ini dapat digunakan untuk menunjang pembelajaran materi persuratan.Abstract: This research aims to develop teaching materials in the form of Problem-Based Learning (PBL) E-modules on correspondence materials to assist the learning process at SMKN Mojoagung class X OTKP. This research uses R&amp;D with a 4D model, namely Define, Design, Develop, but did not reach Disseminate due to time and cost limitations. Data analysis techniques use quantitative and qualitative. Twenty respondents, namely students of class X OTKP 3, participated in the study. The product of this research was validated by materials, media, and language experts. The results reveal that the feasibility of the product from the materials expert was 90 percent; from graphic expert was 96.3 percent; and from linguist expert was 80 percent. From these results, it obtains an average of 88.7 percent with a very decent category. The results of student responses obtain an average of 78.8 percent with a positive category. So, it is concluded that this E-module can be used to support learning correspondence materials.
The Development of Social Responsibility of Technical University Students in the Process of Professional Training

The study emphasizes the importance of social responsibility of the engineer in the modern post-industrial society. We reveal the essence of the phenomenon of social responsibility, determine its structural components, and define the criteria for its development. Also, we theoretically substantiate and experimentally test the influence of pedagogical conditions on the development of social responsibility of future engineers in the process of professional training. These conditions include (1) increasing positive motivation of students to develop social responsibility; (2) ensuring a responsible attitude of students to perform tasks in various types of professional training (academic, extracurricular, and research activities); and (3) encouraging students to study the concept of social responsibility on their own. Besides, we describe methods of teaching social responsibility (special course, discussion, simulation, case study, etc.). The conducted analysis of the results of the experimental work confirmed the effectiveness of the proposed methods. Finally, we experimentally prove the impact of pedagogical conditions on the formation of socially responsible engineers in the process of their professional training.
Exploring English Education Student’s Experience in Enhancing English Speaking Skill

English learning should be supported by an interesting and good strategy to make students’ learning valuable, enjoyable, and interested, as well as in a Speaking setting, but the most important thing is a willingness to study. The purpose of the study is to describe the experience faced by one English education student in enhancing English speaking skills after facing offline or face-to-face classes and then suddenly facing online classes because of the covid-19 pandemic attack. This research is using Qualitative approach and Narrative Inquiry as a research design in gaining the data. The participant of this research is one English education student in the eighth semester who has faced offline or face-to-face classes and then suddenly face online classes because of the covid-19 pandemic. The result of this research describes some interesting experiences that the participant has passed to enhance her English speaking skill, such as some habits and strategies that she has been doing and joining competitions, which construct her to become a good English speaker.
Introduction to Machine Learning and Neural Networks

Suggested Reading / 317 Quizzes / 317In this chapter we introduce basic concepts and algorithms from machine learning.We explain how neural networks can be used for regression and classification problems, and how cross-validation can be used for training and testing machine learning algorithms. Learn( ) g Learn( ) hTrain data Learned functionLearning Algorithm Predictions on test data
Four-Qubit Cluster States Generation through Multi-Coin Quantum Walk

Quantum computing requires large numbers of resources of entangled qubits, which cannot be satisfied using traditional methods of entanglement generation, such as optical systems. Therefore, we need more efficient ways of entanglement generation. It has been proved that multi-coin quantum walks can be used to replace direct Bell state measurements during the process of entanglement generation in order to avoid the difficulty of Bell state measurement. In this paper, we take one step further and generate 4-qubit cluster states using multi-coin quantum walks, which simplifies the generation of 4-qubit cluster states by using only Bell states and local measurements. We also propose a method for preparing 4-qubit cluster states with quantum circuits to facilitate their use in quantum computing.
Writing Abstract and Keywords of Scientific Article-Do’s and Don’ts

Background: Writing manuscript is important in any discipline for the dissemination of new knowledge. Abstract and keywords are one of the most important parts of manuscript an editor or a reader looks for as it gives important points of whole paper as summary. Hence, knowledge on how to write a good abstract and keywords is a basic requirement for the authors to get their paper accepted, well indexed and good readability. In this paper, we review the literature as to how to write an abstract and keywords of scientific articles. &#x0D; Methods: Literature regarding writing abstract, as well as keywords of scientific articles was searched in the leading search engine Pubmed with the following search terms and their combinations: writing abstract, keywords, scientific article. &#x0D; Results: After different types of search, fifteen papers were selected based on their relevancy. &#x0D; Conclusion:Effective abstracts and keywords provide sufficient details of the whole paper without looking or reading the entire article saving a lot of time. This paper covers various aspects of writing abstract and keywordsof scientific article.
Moodle Training as a preparation for Blended Learning at SMP IT Bina Amal Gunung Pati Semarang

Based on the Joint Decree of the 4 ministers, schools began to carry out limited face-to-face learning with a maximum number of students attending a maximum of 50% of the total specified class capacity, which is a maximum of 20 people in each class. With this reality, schools must provide human resources to be able to carry out joint learning between students who attend school and those who take lessons from home, so that the objectives of learning are still achieved with the concept of blended learning. Partners who will work together in community service are the Bina Amal Integrated Islamic Junior High School Gunung Pati Semarang. The existence of a blended learning plan, of course, needs to be prepared for teachers, one of which is by participating in blended learning preparation training. The method used in this training is to use the practicum method, namely how to present learning to participants by direct application using a computer so that participants will experience and prove how to use the Mood platform. It is hoped that by participating in this blended learning preparation training activity, teachers will get an overview and policies on what must be considered and prepared when blended learning is carried out. The success indicator of this training activity was obtained by processing the results of questionnaires filled out by participants before participating in the training (pre test) and after participating in the training (post test) and an increase in participants' understanding and skills in using Moodle was 91.7%.
PENINGKATAN KOMPETENSI PENDIDIK MELALUI PELATIHAN PEMBUATAN MEDIA PEMBELAJARAN CHATBOT ACITA

In the 4.0 and 5.0 era, as an educator, we are required to use technology- based media in the form of web, digital platforms, and certain applications that assist educators in delivering material. Many technology-based media are used by educators, one of which is Chatbot. Chatbot is a computer program that can communicate (having conversation) like humans via internet. The objectives of this service activity are 1) to increase teacher knowledge about technology-based learning media materials; 2) equipping skills to participants (educators) so that they can create their own chatbot. The target partners involved were 32 participants who were divided into 8 groups, but only 20 participants were able to complete chatbot, which was then divided into 5 groups which the participants consisting of teacher, lecturers, university students, and even high school students. The approach method in this service activity is in the form of training through google meet and WhatsApp group. The result of the activity is that participants can create their own chatbot to the theme that the participants want.
Fake Product Review Monitoring System

Abstract: In the current scenario, the data on the web is growing to a larger extent. Social Media is generating a large amount of data such as reviews, comments and customer’s opinions on a daily basis. This huge amount of user generated data is worthless unless some miningt e c h n i q u e s are applied to it. Nowadays, there are several people using social media reviews to order anything through online. Online spam detection is one of the herculean problems since there are many faux or fake reviews that are created by organizations or by the people themselvesfor various purposes. Such organizations tend to write fake reviews to mislead readersor automated detection systems by promoting or demoting the targeted productservices. Fake reviews detection has recentlybecome a limelight that’s capturing attention. Fake reviews are generated intentionally to mislead readers to believe false data that makes it tough and non-trivialto discover supported content. Hence, it is highly necessary to create a monitoring system which thoroughly checks for fake reviews among various product websites andremoves them promptly.
Blockchain Based Pubic Distribution System

Abstract: The Public Distribution System (PDS) is a digital scarcity management system that distributes food grains to lowincome families at affordable prices. It began in the 1940s as a way to alleviate food scarcity caused by World War II. Illegal usage, overcrowding, inability to obtain materials at any time, processing speed, household selection, targeting of bogus cards, and ration card hijacking are some of the problems of the current PDS. To address this flaw, the suggested solution makes use of blockchain technology, which is a cutting-edge technology. Because the data is sensitive and critical, blockchain improves security, and it can substantially alter how your critical information is seen because it is a distributed ledger.
Perundungan dalam Geguritan Cupak Gerantang

Gerantang". The results of this study describe the bullying found in traditional Balinese literary works, namely Geguritan Cupak Gerantang. The use of literary sociology theory in this analysis is able to reveal aspects of bullying which is one of the social phenomena in society contained in geguritan. The methods and techniques used consist of three steps, namely: (1) Providing data using the listening method accompanied by note-taking techniques and translation techniques, (2) The data analysis using qualitative methods and supported by analytical descriptive techniques, (3) presentation of the results of data analysis using informal methods accompanied by inductive and deductive techniques. The bullying aspect found in Geguritan Cupak Gerantang is shown by the interactions between the characters, which include the types of bullying, the factors behind the bullying, and the impact of the bullying.
Lossless Compression and Optimization Method of Data Flow Efficiency of Infrared Image Depth Learning Model of Substation Equipment

Abstract Infrared detection of substation equipment has become one of the important means for live detection of power grid equipment. The insulation fault and equipment defect of electrical equipment in operation can be found by using infrared thermal imaging technology. Infrared image deep learning model usually needs a very large computational cost and storage space, which greatly limits the application of deep learning model in embedded terminal. In order to apply the deep learning model well in embedded devices with limited resources, this paper proposes a lossless compression method of infrared image deep learning model of substation equipment, which can reduce the size of the deep learning network model by 35 to 49 times without loss of recognition accuracy. A hybrid sparse matrix storage format based on recursion and a cache blocking method based on multi-core/many-core processors are proposed to optimize the data flow efficiency between processors.
One-Shot Face Recognition through a Region Inception ResNet with Modified Triplet Loss

Abstract Face recognition has become a convenient method for identity verification, especially the one-shot task has much practical value. Some former works have achieved considerable results. However, they perform ill under the situation of COVID-19 with more and more people wearing a mask. This requires the extracted face features distinguishable and robust enough for classifying different masked people. It is difficult for the one-shot task with only one sample for training. To solve this problem, we designed a network called Region Inception ResNet with Modified Triplet Loss , which generates robust features. It keeps high accuracy even under masked condition. The networks are trained on the datasets of CASIA-Webface and Ms-Celeb-1M, tested on LFW (Labelled Faces in the Wild). Experiments in Section 6 show the effectiveness of our method.
The Effectiveness of Teaching Idioms in Electoral Speeches

There has been a considerable amount of interest in the study of idioms. English is a language with a vast idiomatic basis, which makes its learning very exciting and intriguing. Idioms, constitute a notoriously difficult area of foreign language learning and teaching. The sheer number of idioms and their high frequency in discourse make idioms an important aspect of vocabulary acquisition and language learning in general. Nowadays language learning is based on the need for interaction with others. This research aims to respond to a need for a proper method of teaching election idioms to High School students. From the growing body of this research, it follows that applying cooperative techniques for teaching election idioms, can improve learning outcomes and can also effectively improve language communication. The results of the pre-test and pro-test show that the cooperative method of teaching election idioms turned out to be more effective than the competitive method in both idioms comprehension and production.
Students' Politeness to Lecturers in WhatsApp Application Measured Using Leech Maxim

This study aims to describe student politeness in communicating or sending messages to lecturers through the Whatsapp application. This research needs to be carried out to obtain an overview of the application of politeness principles used by students in communicating. This research is descriptive qualitative research with instrumental case studies, the instrument used is Maxim Leech. The source of this research data is student texts sent to lecturers. The research data are sentences, phrases, or words that contain aspects of politeness by Leech's politeness principles. Data retrieval uses the note-taking method, while data analysis uses the high method. The basic analysis technique is a technique for direct elements that sorts text into several categories of data forms, namely sentences, clauses, phrases, and words. The results of this study indicate that all politeness maxims are not used by students in sending student Whatsapp messages to lecturers. . From the six Maxim Leech Principles, five of them are used by students in communication. The five maxims are tact maxim, approbation maxim, modesty maxim, generosity maxim, and agreement maxim. Of the five maxims used, the modesty maxim is most widely used compared to the other maxims. This shows that the politeness of students in a humble attitude exceeds other politeness. Research on student politeness can still be developed both in theory, methodology, and the depth of the discussion Keywords: politeness, WhatsApp, online learning
ANALYSIS OF WEB ASSEMBLY TECHNOLOGY IN CLOUD AND BACKEND

Web assembly is a binary instruction format for stacked virtual machines.Web Assembly is a compilation target so that code can execute on browsers.With web assembly it is possible to achieve near native performance, speed for application on web and outside the web.It is found that it provides performance similar to languages like c,c++,rust [1].The byte code it generates is fast to parse and compile for various platforms.Byte code is very light so less strain on the network for sharing.Edge computing is part of cloud computing made near data centres.The web assembly is first time used outside the browser in wasmRt was by [4].In this paper the author is exploring various ways that Web assembly can be used outside the web browser and in docker and cloud, microservices and CMS.Using Web assembly outside the browser's environment creates various opportunities.
Employee Performance Impacted by Mental Health and Employee Wellbeing in INGOs Jordan

The purpose of this research is to study the relationship between mental health and employee performance and productivity in INGOs in Jordan. The methodology used is a qualitative approach. Data collection was conducted based on a structured one to one interview method. An inductive narrative analysis method of analyzing interview transcripts was used. The findings show that there was a significant relationship between employees’ job performance and mental health. In the meantime, the study confirmed that INGOs in Jordan don’t put enough effort “in reality and on the ground” to maintain the mental health of their employees although it is, in some times, written in their policies. Based on the results, one can conclude that low mental health level among employees can reduce their performance. Managers should use proper methods to decrease the negative consequences resulted from the lack of mental health in workplaces and senior managers should put in more effort and include the mental health in their strategic and business plans.
Network of Technology Dissemination Centers: Cooperation Between Private Companies and Education

Every country seeks development and good results for education, but serving students from very remote areas can be complex. In Peru there are companies that support educational centers through material resources, but rarely they bet on improving quality and providing care to less favored communities. Many times the State does not have the capacity to bring quality education to the most remote regions, so the help and commitment of private companies becomes a key and indispensable element for the development of towns, especially those that do not have with the necessary resources for this purpose or due to difficulties inherent to their environment. The purpose of this educational project was to contribute to the improvement of high school education in remote villages, training students and teachers in educational computing and communications skills through the Internet and modern computer facilities. This article describes an initiative that transforms the lives of members of underserved communities by providing them with access to education and training in technology.
Distance Learning Delivery Modalities and Problems of the Technology and Livelihood Education Teachers

This study determined the distance learning delivery modalities and what were the problems of the Technology and Livelihood Education (TLE) teachers in Barcelona District, Barcelona Sorsogon. The research utilized descriptive-survey method that determined the distance learning delivery modalities used by the TLE teachers. This also described the gathered data through an unstructured interview to determine what were the problems encountered along access to technology, Information and Communications Technology teaching integration, instructional materials, and administrative support. The research employed researcher-devised survey questionnaire as the main instrument used in data gathering. The respondents of the study were sixty-three (63) teachers in Barcelona District specifically teaching TLE particularly in the intermediate level-grades 4, 5, &amp; 6 where TLE subject are being taught. The responses obtained were statistically treated with appropriate statistical tools and measures using frequency counts, and ranking. Furthermore, the data were evaluated, and interpreted that arrived at valid conclusions.
Parsimonious Approach to in Analyzing Brainwaves for VR Users

For the development of virtual reality (VR) technology, research to solve the VR Sickness is essential. Many attempts have been made to measure and reduce VR Sickness using questionnaires, analysis, and bio-signals, but it is true that analytical research through clinical practice still lacks. In this paper, the researcher collected bio-signals and questionnaire data to analyze the correlation between VR Sickness and user and perform principal component analysis and chi-square independence test based on the collected data. As a result, the researcher was able to be aware of the user’s concentration and relaxation state by EEG and found they are correlated with VR Sickness. Finally, the result of the analysis was cross-checked to confirm that these correlations show a significant difference. The empirical result of this study is expected to be used for the research to reduce VR Sickness through bio-signal.