Reviewerly/exHarmony huggingface dataset:
Exploration and Application of Life Education Resources in High School English Textbooks

Nowadays, life education is widely emphasized to cultivate students' healthy psychology, good morals and optimistic attitude towards life.As English is a humanistic subject which emphasizes nurturing people, English textbooks contain a sea of contents of life education.Therefore, this study aims at exploring the strategies for permeating life education into English teaching by analyzing the proportion and distribution of the contents related to life education in the compulsory course of English teaching textbooks for senior high schools.According to the results, there are a host of life education resources in textbooks, but the proportion and distribution of the contents of life education are not balanced.Therefore, this paper proposes that English teachers should further extent the original materials of life education in English textbooks to cover all categories of life education, create life-oriented teaching situation to arouse life thinking, develop extracurricular activities to cultivate life skills and collect other resources related to life educational to supplement the contents of life education in textbooks.
Android-Based Mathematics Learning Media Assisted by Smart Apps Creator on Self-Regulated Learning Title

This study aimed; 1) to investigate student responses toward the use of android-based media assisted by Smart Apps Creator for mathematics learning; 2) to investigate student self-regulated learning level; 3) to find out whether there was an effect using Android-based mathematics learning media assisted by Smart Apps Creator on student self-regulated learning. The study used an experimental method One-Shot Case research design. This study took the population of second-semester students in the Department of Management. The research samples were 2B MAN students chosen by random cluster sampling. The study showed that the percentage of average student responses to Android-based learning media assisted by Smart Apps Creator was very high, 88.08% and students' self-regulated learning was in a high category at 75.87%. The hypothesis test results indicated an effect of using Android-based mathematics learning media assisted by Smart Apps Creator on student self-regulated learning. The number of using android-based mathematics learning media on student self-regulated learning was 18.2%, the rest by other variables in this study. The researchers found the result of their research and concluded: 1) the average of student responses to the use of Android-based learning media assisted by Smart Apps Creator was 88.08% which is categorized powerful ad category; 2) the average of students’ self-regulated learning was 75.87% described as a strong category; 3) The results of hypothesis test showed there was an effect of using Android-based Mathematics learning media assisted by Smart Apps Creator on student self-regulated learning.
Research on the Construction and Operation of Broadcasting Community for the Elderly

In the mobile Internet era, community-based vertical communication is becoming increasingly widely used in broadcasting programs.In the past, the contents of broadcasting programs are produced by professional broadcasting teams alone.However, this pattern has been completely broken.Nowadays, the audience is no longer just listeners.Instead, they also create and provide broadcasting contents.The audience of broadcasting programs pays more attention to the experience and desires to participate in the programs in an interactive manner.In this study, the characteristics of community-based communication, operation problems and operation procedures of some broadcasting programs for the elderly were analyzed.In addition, four conditions necessary for the construction and operation of broadcasting community for the elderly were determined.It is hoped that this paper may provide some reference for building a perfect community ecosystem for these programs, realizing the commercial transformation and speeding up the transformation and development of media.
Deep Handwritten Diagram Segmentation

Handwriting has been a natural way to communicate since ancient times. Humans often prefer to write and draw to facilitate rapid exchange of ideas. When handwritten diagrams need to be converted to application-specific digital formats for later use, conversion requires skill and time. Automatic handwritten document conversion can save time, but diagrams and text require different recognition engines. We propose to solve the problem of segmentation of text and non-text elements of handwritten diagrams using deep semantic segmentation. Our model, DeepDP, can be tuned in complexity to a level appropriate for a particular dataset and diagram type. Experiments on a public flowchart dataset and a business process flow diagram dataset show excellent performance, with more than 95% accuracy, despite relatively small training datasets.
Analytical Approach Toward Face Mask Detection Using Artificial Intelligence Techniques

By continuous hike of the deadly COVID-19 pandemic, the lifestyle of an individual has switched and changed all over the globe. Every individual has found it necessary to use a face mask in these situations. Identifying individual is wearing a face mask is very challenging due to wave of the deadly COVID-19 pandemic. The author proposed an approach in this study review work that would limit the evolution of the COVID-19 virus by personal identification who is not covering up any face mask. Many pieces of research have showed that wearing a mask reduces the possible chance of viral transmission of this life-threatening coronavirus and provides a sense of protection. The research during this zone has hiked over the past years. A typical review of the literature is studied to evaluate whether or not human beings are wearing masks, and based on these reviews, a modified analysis is done to detect which approach is feasible. This review included various search methodologies, too many research papers were recognized out of which seventeen are relevant papers. This paper will assess the research progresses related to the facial masks of an individual. It also helps the author to review out the ongoing and the forthcoming scenario of this research which have been working on facial mask detection using artificial intelligence.
Evaluation of 3D Apparel Design Spatial Visualization Training for Cognitive Functioning Improvement of Older Adults: Cross-Cultural Comparisons

The purpose of this study is to provide the innovative spatial visualization training using 3D apparel design and to examine how older adults of four different ethnic groups evaluate it by applying the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology. A quantitative research design was utilized using the online survey. A total of600 usable data were collected employing a quota sampling method. The SEM result shows the good model-data fit with the significant relationships among most of the latent variables. The ANOVA result show the significant mean differences of all latent variables among four ethnic groups, except the self-efficacy. The findings of this study revealed the importance of perceived ease of use and the performance expectancy to increase the positive attitude toward the training for older adults. The practical application to design the training based on different ethnic groups is needed.<o:p></o:p>
The Implementation of K-W-L (Know-Want to Know-Learned) Strategy to Improve Studentsâ€™ Arabic Text Reading Ability of Grade XI of MA Bahrul Ulum

This research aims to describe: (1) The implementation of K-W-L strategy to improve reading ability of Arabic texts of grade XI students of MIA MA Bahrul Ulum, (2) The improvement of learning outcomes of reading Arabic text of XI graders of MIA MA Bahrul Ulum Tajinan after the implementation of K-W-L strategy. The study used the action research design. The subject was MA Bahrul Ulum Tajinan, because the Arabic language learning ian this school has not been running optimally. The selection of students of grade XI Mathematics and Science program was because the students of grade XI already have a lot of vocabulary and good understanding of qowaid. The study consisted of two cycles and each cycle consisted of stage of (1) planning, (2) implementation, (3) observation, and (4) reflection. The results of the study were that the K-W-L strategy was implemented by activating students to reveal preliminary knowledge related titles, guessing the contents of the text, and discovering new information after reading the text. The implementation of the K-W-L strategy improved the ability of students to read Arabic text by 16 points from the average of 67 to 83 with the mastery score of 95.5%.
Introduction

Intelligent tutoring systems (ITS) and research into ITS are introduced in this first chapter. The book's current advances require a grasp of the field’s origins, which can only gain through a historical perspective. The dynamics of the field and the challenges it faces are described. The chapter concludes with an overview of the book’s content and structure.
Gossip Swap SGD: Lightweight Decentralized Machine Learning for Non-Homogeneous Data Distribution

Developing lightweight training approaches for distributed machine learning is of key importance to deploy machine learning on Internet-of-Things (IoT) devices. Gossip SGD is attractive among distributed machine learning methods thanks to its applicability to various network topologies (irrespective of having a central entity) and simple parameters update strategy. However, it is known to be inefficient in non-homogeneous data distribution environments. Our work addresses this issue by introducing “parameters swapping” in the Gossip SGD during parameters update to let devices simply exchange their parameters. Our method, named Gossip Swap SGD, efficiently resolves a cause of insufficient accuracy or delayed convergence in parameters update for non-homogeneous data distribution. Our quantitative evaluation demonstrated that our method not only outperforms exiting methods in non-homogeneous data distribution but also has no degradation even in homogeneous data distribution.
Creative Strategies for Making Technology-Based Decisions in Education

The article is dedicated to the specifics of creating creative strategies for making technology- based decisions. The rapid development of digital technologies requires a new type of design of creative thinking, which requires instant, correct and original making of technology-based decisions in the learning process. A study was conducted with a developed author's questionnaire for
Readiness of Vietnamese High Schools for Digital Transformation and Its Influencing Factors: A Quantitative Study

Digital transformation has become a widespread phenomenon worldwide and profoundly affects the existence and development of different socio-economic organisations toward a comprehensive digital society in the near future. High schools must also implement digital transformation as a comprehensive change of schools to a state where all activities are applied to digital technologies to improve performance efficiency and educational quality. That change is not only a change in technology in its operations but, more importantly, a change in the staff behaviour. However, for these changes to be achieved as expected, a factor considered "antecedent" is the readiness of school members to overcome resistance originally arising from an organisational change requirement. Therefore, this study investigates the status of readiness of Vietnamese high schools for digital transformation from the point of view of high school teachers, who play the role of one of the key factors based on Weiner's theory of organisational readiness for change (2009). Participants are teachers currently teaching at high schools in Vietnam. The study sample was selected using the convenience sampling technique. The data collection period was from July 19 to August 18, 2022. The final dataset consisted of 87 records used for analysis. Characteristics such as gender, working area, training level, and working seniority of high school teachers and the two elements of Change valence and Information assessment are considered to have a correlation with the readiness of high schools. The descriptive statistical analysis results show that the readiness for digital transformation in Vietnamese general education institutions is at a positive level (mean = 3.74). The study results show that only the Change valence factor was determined to have a statistically significant correlation with the readiness of high schools for digital transformation. These results will be useful evidence for teachers, researchers in education and organisational development, and school administrators to implement digital transformation in education.
HASHING &amp; DOUBLE ENCRYPTION TECHNIQUE FOR INFORMATION STORAGE IN CLOUD

—Information storage in the cloud is very popular in recent days. The Cloud platform provides various services to its users and one of the important zones of service is the security of the information stored. This project proposes an enhanced approach of a complex Hybrid encryption system involving a Symmetric and an Asymmetric key encryption technique to secure the information on the cloud platform from potential attacks like encryption failure, man-in-middle attack and Insider attack etc along with a hashing technique for the key. The proposed hybrid encryption system involves a newly designed Symmetric key technique "Dehex Algorithm" which encrypts the information with a random key generated from the input size. The Dehex algorithm is followed by the ECC algorithm which is an Asymmetric encryption method. The output formed will be double encrypted information, which then reaches the cloud storage. The keys used for encryption need to be securely stored and so the keys are subjected to the SHA hashing algorithm. Hence this new approach can be one of the ways which can be used for securing information stored in the cloud.
Perancangan Sistem Informasi Penjualan Sepeda Motor pada PT. XYZ

The research aims at developing an online-based system with a focus that the feature also has an API (Application Programming Interface) service that can spread products on various e-commerce in Indonesia. In the process of developing software or motorcycle sales system applications, researchers use the Spiral method. The programming language used is PHP with MySQL as the database and uses the Vue.js framework. From the results of research and observations that have been made at PT. XYZ, it can be concluded that; From the results of the manufacture of motorcycle sales information system PT. XYZ web-based parties make it easy to inform PT. XYZ which is ready to be sold through the sales system. With the sales website, buyers can access and get information and motorcycle sales of PT. XYZ quickly from his home, and can choose the desired motorcycle to be purchased, and the motorcycle sales application at PT. XYZ can handle and control and supervise motorcycle sales transaction data, create sales invoices that can avoid delays and in making sales reports for each transaction activity, use APIs by disseminating using the Bukalapak and Tokopedia APIs and successfully synchronizing but still need testing and development that focuses on products on the Android platform.
Nilai Moral Sosial dalam Podcast Kumpulan Puisi Siswa Kelas XI MIPA 1 SMAN 53 Jakarta Timur

This study aims to describe the social moral values contained in a collection of podcast poetry for students of class XI MIPA 1 SMAN 53 East Jakarta. The approach used in this research is descriptive qualitative research. This study aims to describe the social moral values contained in a collection of podcast poetry for students of class XI MIPA 1 SMAN 53 East Jakarta. Based on the results of the analysis of 30 poems contained in the poetry collection podcast as a whole, in this study it can be concluded that the moral values contained in the poetry collection podcast for students of class XI MIPA 1 SMAN 53 East Jakarta there are 17 data on the moral values of human relations with God and 54 data on the moral value of human relations with society. Based on the discussion above, it can be concluded that podcast media can be an alternative media during a pandemic to study literary works, especially poetry.
MAKİNE ÖĞRENİMİ VE TWITTER VERİLERİNİN ANALİZİ: COVID-19 SONRASI İŞ TRENDLERİNİN BELİRLENMESİ

With the Covid-19 epidemic, there has been a great change in the routines of social and business life. These changing routines have brought with them new needs and demands. In order for business life to adapt to this new order and develop new strategies, current trends should be analyzed. In this study, the most demanded business trends on Twitter after Covid-19 were analyzed by machine learning. Textual expressions obtained through Twitter are converted into data by methods such as natural language processing. Analyzing these data correctly makes it possible to obtain important information that will create a roadmap about the targeted issues. Within the scope of the research, a total of 48765 tweets with high impact were selected. Word frequency analysis was applied to the total number of tweets belonging to the determined business trends. Within the scope of the research, textual expressions obtained through twitter platforms were converted into data by natural language processing method. In addition, a word analysis model based on SVM, one of the machine learning algorithms, was used. As a result of the analysis; online food services, online sales specialist, remote working, healthcare professionals, personal coaching, online training and repairman have emerged as popular lines of business. Key words: Machine Learning, Trend Jobs, Neural Networks, Twitter, SVM, Covid-19
A note on Etchemendy's and Prawitz's <i>reduction principles</i> for the Tarskian and model‐theoretic concept of consequence

Abstract One of Etchemendy's arguments against the Tarskian and model‐theoretic notion of logical truth is based on a reduction principle according to which a universally quantified sentence is true if, and only if, all of its instances are logically true. The reduction of logical truth to mere truth reveals that the concept of validity at play in Tarski and in model‐theory relies upon extra‐logical assumptions. A similar reduction had already been put forward by Prawitz, although not with focus on extra‐logical assumptions. Prawitz's reduction concerns rather the possibility of understanding the Tarskian and model‐theoretic approach as implying any epistemic modality. We take into account a possible strategy that an advocate of Tarski and model‐theory may use against Etchemendy's objection, and argue that this strategy fails with respect to Prawitz's criticism. This permits us to shed light upon a difference between Prawitz's and Etchemendy's standpoints: while Etchemendy's reduction shows that the Tarskian and model‐theoretic notion of logical truth cannot be understood as an adequate formal counterpart of truth‐preservation solely by virtue of logical form, Prawitz's reduction insists on the fact that truth‐preservation solely by virtue of logical form is insufficient for epistemic modality to obtain.
Research and Implementation of Text Generation Based on Text Augmentation and Knowledge Understanding

Text generation has always been limited by the lack of corpus data required for language model (LM) training and the low quality of the generated text. Researchers have proposed some solutions, but these solutions are often complex and will greatly increase the consumption of computing resources. Referring to the current main solutions, this paper proposes a lightweight language model (EDA-BoB) based on text augmentation technology and knowledge understanding mechanism. Experiments show that the EDA-BoB model cannot only expand the scale of the training data set but also ensure the data quality at the cost of consuming little computing resources. Moreover, our model is shown to combine the contextual semantics of sentences to generate rich and accurate texts.
Approbation of Methods of Diagnostics of Motives for Obtaining Higher Education by Students of Higher Educational Institutions (on the Example of Students of a Technical University) (Ending)

This article concluded the presentation of the results obtained using the methods “Studying the motivation of students in higher education” and “Assessment of general structure of professional expectations and guidelines of students”. The first method evaluates the surveyed students according to the following parameters: curiosity, mastering a profession, obtaining a diploma, rationality of choosing a university, correctness of choosing a university, truthfulness of answers, diligence, capacity for effort, learning ability. The second method evaluates the surveyed students according to the following parameters: business, teaching, professional skills, performing activities, scientific and inventive activities. The analysis also uses data obtained with the help of a block of questions exploring the period of early socialization of students (age up to 16 years).
Bases of the Concept of Construction of the Information System for Monitoring the Efficiency of Higher Educational Institutions

In accordance with the tasks of modernity, the functions and forms of activity of universities have been expanded in many ways, which has led to an increase in the flow of information, a complication of the objectives for evaluating the results of activities and the need for objective data analysis. Also, universities need to ensure compliance with the requirements of state educational standards and criteria for the quality of educational activities with insufficient resources available. In these conditions, one of the most important mechanisms for evaluating the results of educational activities is the information system, which is considered as a tool for monitoring the effectiveness of university management.
Teachers’ Strategies in Teaching Reading Comprehension through E-learning Platform during the Pandemic

This study was aimed to explore EFL teachers' strategies in teaching reading comprehension through an e-learning platform at one public senior high school in Jambi. This study employed a qualitative research design which was a case study. The study utilized two data collection techniques: observation and interview. Two teachers of English were involved in this study. All of the data were analyzed using four significant stages of analysis: coding, data reduction, data display and concluding. The frequency of observations was grounded on reading teaching material taught by participants. This study revealed that the teachers used three strategies to teach reading comprehension through virtual e-learning. The strategies were translating, SQ3R (Survey, Question, Read, Recite, Review) and QARs (Question-Answer Relationships). The findings also revealed teachers' reasons for selecting those strategies. Generally, their reasons were (1) to help the students to comprehend the text and (2) to relate students' real-life experience and prior knowledge with the text. The time limitation of lesson hours caused by COVID 19 also affected teachers' decisions in selecting the strategies.