Reviewerly/exHarmony huggingface dataset:
THE DEVELOPMENT OF TEACHERS’ DIGITAL COMPETENCE THROUGH THE APPLICATION OF MODERN TECHNOLOGIES

A quality teaching process and educational system form a valid basis for the development of any social community. Teachers are the major drivers of change in education and without extra effort on their part we cannot expect improvements in the quality of education, teaching and learning. They have a special responsibility in all aspects of organising and planning the modern teaching process. Teachers should be characterised by creativity and flexibility, continuing professional training, knowledge of work processes related to modern technologies, readiness for cooperation and teamwork. In addition to being lecturers, they also ought to be organisers, mediators in the transfer of knowledge, planners, motivators, evaluators, diagnosticians, collaborators, mentors, coordinators of the teaching process.The use of contemporary teaching materials, as well as other sources of knowledge, should serve the development of the pupils/students’ personalities, help teachers in preparing for class, and contribute to a more rational and efficient organisation of the educational process. Every teacher should work on the development of their own technological competences, which—apart from their IT literacy—implies training to use computers and IT/communication technologies in teaching, as well as getting familiar with the application of educational computer programmes (software). The extent to which a teacher is going to apply multimedia contents depends on one side on the school where he/she is working, i.e. on the school’s access to computers, projectors, DVD devices, cameras, interactive tables, the Internet, and therefore on the presence of multimedia packages in school institutions, whereas on the other side it depends on the teacher’s computer skills.The role, position and importance of teachers is greatly changed by the use of multimedia, moving from teaching and testing on to planning, preparation, organisation and assessment of the achieved results. So, by acting and working in the newly-formed multimedia conditions, the teacher is now less and less a lecturer and examiner, and increasingly more an organiser, researcher, consultant, creator, coordinator and evaluator of the entire multimedia-backed process of teaching and knowledge acquisition by the students. However, even though the teacher is now “less and less a lecturer”, they find themselves increasingly more in the position of a mediator in the process of transferring knowledge to the students, and regardless of the high level of application of educational technologies in teaching, this can never exclude the teacher from the educational process
A COMPARATIVE STUDY OF COLLEGE ENTRANCE EXAMINATION BETWEEN CHINA AND JAPAN IN TERMS OF LISTENING COMPREHENSION

This research is a comparative study of college entrance examination for English listening test in China and Japan. The comparison will be conducted between China’s CEEBA (College Entrance Examination in Beijing Area) and Japan’s NCT (National Center Test of Japan) in terms of difficulty of the tests and validity by checking whether or not they are measuring the items that are intended to measure. And according to the analysis and study some suggestions to improve the both tests are expected to be found out.
Writing Local States, Sending HTTP Requests, and ApexCharts

In the previous chapter, we tackled navigation using react-router. Now, we'll be writing local states, sending HTTP requests using Axios, and installing ApexCharts to help us create an interactive chart in our app.
1960-70년대 반애란(Eleanor van Lierop) 선교사의 요보호여성 복지사업과 애란원의 설립 : 『Lord of the Dance』를 중심으로

Missionary Eleanor van Lierop is the founder of Aeranwon, which was established to help prostitutes who have increased rapidly after the Korean War. Based on her Christian perception of women, she tried to overcome the prejudice of Korean society that 'a woman who is once into prostitution cannot be recovered'. She also urged the need for welfare for prostitutes. Through the establishment of the first single mother protection facility in Korea, she was the first to take the lead in respecting the fetus' life and protecting the motherhood of the single mother. Her activities have led to the interests and alliances of various institutions in welfare work for women in need. The values of Aeranwon's founding spirit, such as respect for the life of the fetus, protection of motherhood, and preservation of family, are in line with the social ethics pursued by Korean Christianity. In the end, the establishment and growth of Aeranwon contributed to sharing the value of Christianity in Korean society and led to changes in government policies. This can be seen as a case in which Christianity has established itself as a new standard of the view of women replacing Confucianism. Because of this, it has historical significance in the history of the Korean church.
3 Analysis of divergence aspects of breast in breast cancer patients that change due to COVID-19

Breast cancer develops from cells lining the milk ducts and slowly grows into a lump or a tumor. Breast cancer may be invasive or noninvasive. Invasive cancer spreads from the milk duct or lobule to other tissues in the breast, whereas noninvasive ones lack the ability to invade other breast tissues. Noninvasive breast cancer is called in situ and may remain inactive for the entire lifetime. Due to the heterogeneity nature of breast, density as well as mass is variable in size and shape. This chapter analyzes two datasets. The first dataset is Breast Cancer Wisconsin (Diagnostic) dataset from UCI machine learning repository during COVID-19 and another image dataset collected from different hospitals of West Bengal, India. This chapter proposed techniques for detection of both image dataset and nonimage dataset. So it is a unique approach for the analysis of breast cancer. The chapter proposed three approaches for increasing the efficiency of the detection. The first approach attempts to utilize gradient boosting algorithm to be applied on Breast Cancer on Wisconsin (Diagnostic) dataset and obtain prediction results. The second approach is proposed using stacked gated recurrent unit-long short-term memory-bidirectional recurrent neural network that accepts health records of a patient for determining the possibility of being affected by breast cancer. This approach also used the same dataset, that is, Wisconsin (Diagnostic) dataset is collected from UCI as of the first approach. The third dataset is collected from different hospitals and the third approach utilizes this dataset for the detection of breast cancer. All collected magnetic resonance images from hospital reports are diagnosed by radiologists of the respective hospitals. All the three implemented methods have shown promising results in terms of breast cancer disease detection.
State-of-the-art Challenges: Privacy Provisioning in TPP Location Based Services Systems

Nowadays, Location-based services (LBS) System is commonly used by Mobile users worldwide due to the immense growth of the Internet and Mobile devices. A mobile user uses LBS to access services relevant to their locations. LBS usage raises severe privacy concerns. A secure LBS system is required to protect three fundamentals metrics such as temporal information, user identity, and spatial information. Different models are being used to deal with such privacy metrics such as TTP and NTTP. In current study, we have conducted a comprehensive survey on TTP privacy protecting techniques which are being used in LBS systems. Primarily, it would be facilitating the mobile users with full privacy when they interact with the LBS system. Moreover, it is aimed to provide a promising roadmap to research and development communities for right selection of privacy approach.
Las TIC en el proceso evaluativo virtual en tiempos del covid 19: percepción estudiantil

During Spring 2020, the health contingency caused by the COVID 19 Pandemic bring the untimely suspension of the way of teaching classes on face-to-face modalities of different educational levels, including the higher level. That forced teachers and students to use the New Information and Communication Technologies (NTIC), such as social networks, instructional platforms and virtual applications, as generating tools of the learning-teaching process; the implementation was founded on an individualized empirical design, instead of an institutional psycho-pedagogical design, and it concluded with an evaluation process equally conceived. The objective of this educational research work is to investigate, through the analysis of a significant sample, the level of satisfaction generated in bachelor students from Facultades de Contaduría Pública and Ingeniería Química from Benemérita Universidad Autónoma de Puebla, by the evaluation process in which they were participants during Spring 2020, using a mixed methodology (quantitative and qualitative), descriptive and interpretive. With the knowledge obtained, generate a proposal to improve the evaluation processes described, maintaining and, if it is necessary, increase the satisfaction level of students and encouraging them to continue in the virtual mode or Hybrid Educational Models. Additionally, fulfilling the learning purposes of each subject and facilitating the learning-teaching process, with a competence approach determined by the Modelo Universitario Minerva BUAP (DGES, 2016). For this, an electronic survey was design as research instrument, analogous to the Likert Scale and validated by Expert Judgment (Escobar and Cuervo, 2008); the data treatment was carried out by creating a database in Excel Spreadsheet and, later, the SPSS Software was used to build the descriptive statistical graphics, obtaining satisfactory results.
Designing Group Music Improvisation Systems: A Decade of Design Research in Education

In this article we discuss Designing Group Music Improvisation Systems (DGMIS), a design education activity that investigates the contemporary challenge design is facing when we go beyond single-user single-artefact interactions. DGMIS examines how to design for systems of interdependent artefacts and human actors, from the perspective of improvised music. We have explored this challenge in design research and education for over a decade in different Industrial Design education contexts, at various geographic locations, in several formats. In this article we describe our experiences and discuss our general observations, corrective measures, and lessons we learned for (teaching) the design of novel, interactive, systemic products.
Sentiment Analysis of Product Reviews Using IoT

Communication technology has taken over the world with increasing usage of Internet, which plays a vital role in the field of e-shopping. In communication technology, opinion mining or sentiment analysis is one of the emerging research areas because of the large number of reviews provided by consumers on various online platforms, such as social networks, e-commerce websites, and many such forums. There are a number of e-commerce websites available for users to buy products from. Before the online shopping portals, or e-commerce platfroms, came into existence, consumers had to rely on public surveys or had to question people about the product or features of that product. However, nowadays, e-commerce websites and online portals have made it easier for consumers by allowing them to read reviews about the products and their features before purchase. Nevertheless, at the same time, it is quite difficult for users to select a product as there are thousands of reviews on e-commerce websites. With such a huge number of reviews, it is extremely cumbersome for users to read them all and make decisions about the product or its features. It is a complex task to determine the important features of a product from thousands of mixed reviews and also determine the sentiments behind those reviews. A review is a sequence of texts containing the opinions of customers, based on their experience. There is no fixed format for customers to write reviews. However, there is need for an IoT device to save energy and extract and analyze reviews because they are quite important in opinion mining and sentiment analysis. The IoT seeks to create a smarter world and a simpler way of life by saving time, energy, and money. Expenses in multiple sectors can be minimized by this technology. Massive investments and multiple IoT studies have made IoT a rising trend over the recent years. The aim of this chapter is to analyze the use of IoT and machine learning (ML) for opinion mining or sentiment analysis. Consider a situation where a user wants to buy a product from an e-commerce website, but then the user is required to read the reviews of other customers manually; however, suppose there is an IoT device that extracts and analyzes the reviews automatically, and then presents a user with a summary of features of the product and perspectives about the features, including whether the opinions of those features are positive or negative. With an IoT device, users are not required to open a mobile phone or computer to find out the opinions of customers about the product, which also leads to energy saving. In this chapter, we proposed the use of an IoT-based device that mainly makes use of the IoT mining machine, Raspberry Pi, to evaluate sentiments and display results on a smart mirror connected to the IoT device. Thus, there is no need for a computer system or a mobile device to find the sentiments about the product, which definitely saves energy.
The Construction of Cirebon Palaces Existence in The Digital Era

Cirebon city is situated in West Java Province, Indonesia, until now, still has three palaces as its past relics, namely Kasepuhan Palace, Kanoman Palace and Kacirebonan Palace. The existence of those palaces must be maintained as a cultural heritage in accordance with the provisions of Law no 11 of 2010 on Cultural Heritage. Efforts to maintain their existences need high cost, while funds from the government are not sufficient. This article is the result of construction through the reflective action of Cirebon palaces phenomenon. The construction was carried out inductively from the field phenomenon. The result is a conception that was then created to be a basis for conducting a dialogue with the theory that is considered to have relevance to the findings of the concept. The results of this paper are the concepts and recommendations to maintain the sustainability of the existence of the palace and then be used as new knowledge for other palaces in maintaining their existence as cultural heritage centres.
Impact of mobile technology on students’ achievements in higher education

Mobile technology is changing the way of learning and can be a powerful tool for transforming education. It can reinforce and develop relationships between teachers and students, reshape our learning and collaboration approaches, reduce long-standing differences in equity and usability, and adapt educational experiences to suit all learning objectives. While mobile technology can positively impact the pupils' lives and provide educational opportunities for the students, its adverse effects also need to be remembered. This study presents the impact of mobile technology on students' learning achievement in tertiary education. In this report,based on the literature review, mobile technology's positive and negative effects on education outcomes are also discussed. This study aims to understand mobile technology's role in the academic world and identify mobile technology's role in transforming learning and the impact of mobile technology students' achievement and motivation. The research also focused on the negative and positive effects of mobile technology on higher education and tried to examine whether mobile technology also affects students ' overall performance or not. It is crucial to understand how mobile technologies affect students' academic performance from their perspective. Work out its influences on their overall success to determine the effectiveness of implementing mobile learning in higher education and develop practical approaches for its adoption in higher education institutions. So, this study's objective is to understand mobile technology's role in the academic world and identify mobile technology's role in transforminglearning and the impact of mobile technology students' achievement and motivation. All aspects related to mobile learning are examined in this research. Online Survey questions are designed for primary data collection, and peer-reviewed research articles are used as secondarydata collection. TAM model is used to understand the relationship between dependent and independent variables and identify the related hypothesis. To obtain the information needed to answer the study questions, a statistically significant survey is used.With the help of Qualtrics online survey tool, 26 survey questions were created, and an online link is shared by social media platform to collect the participants' responses. Total 210 valid responses is collected and after data gathering, data is analyzed by data analysis method. According to the data analysis of this study, mobile technology has positive impact on student's motivation. Majority of a student use mobile technology to their learning activities daily.According to participants, m-learning support all their learning needs. Mobile devices are convenient for them to interact with tutors and useful to complete assessment and evaluation.Based on the findings of the study, it has been found that using mobile devices increases students’ motivation. This immediately suggests that there is a significant relationship between the use of mobile devices in higher education and the motivation of pupils to study.
HAND GESTURE DETECTION USING CNN

One of the major drawbacks of our society is the barrier that is created between disabled or handicapped persons and the normal person. Communication is the only medium by which we can share our thoughts or convey the message but for a person with disability (deaf and dumb) faces difficulty in communication with normal person. For many deaf and dumb people, sign language is the basic means of communication. Sign language recognition (SLR) aims to interpret sign languages automatically by a computer in order to help the deaf communicate with hearing society conveniently. Our aim is to design a system to help the person who trained the hearing impaired to communicate with the rest of the world using sign language or hand gesture recognition techniques. In this system, feature detection and
Penerapan Algoritma Naïve Bayes Classifier dalam Memprediksi Status Keberlanjutan Polis Nasabah Asuransi PT.X

Abstrack. This article discusses the classification in predicting the sustainability status of the health insurance customer policy of PT. X uses the Naive Bayes Classifier Algorithm. In predicting the Naive Bayes Classifier Algorithm, it uses the concepts and theories of data mining in the literature related to insurance by calculating the probability of each class of variables using the Bayes theorem in describing the performance of a model or algorithm specifically using the Confusion Matrix. To be able to predict the decisions of health insurance customers in the policy sustainability status, a method of data analysis of registered insurance customers is needed. The data used is data obtained from the insurance company PT. X. The data contains customer information data in the form of 9 variables (Policy Number, Smoking Status, Gender, Age, Marital Status, Dependents, Monthly Premiums, Current Status / whether or not premium payments and insurance policy renewal status). The results of the application of the Naive Bayes Classifier Algorithm show that the algorithm is quite good in predicting the status of the policy extension of the insured health insurance PT. X, with an average accuracy of 85.82%, an average precision of 96.10% and an average recall of 93.55. Keywords: Classification, Naive Bayes, Prediction of Health Insurance Policy Renewal. Abstrak. Artikel ini membahas tentang klasifikasi dalam memprediksi status keberlanjutan polis nasabah asuransi kesehatan PT. X menggunakan Algoritma Nave Bayes Classifier. Dalam memprediksi Algoritma Naive Bayes Classifier menggunakan konsep dan teori data mining dalam literatur yang berhubungan dengan asuransi dengan menghitung probabilitas setiap kelas variabel menggunakan teorema Bayes dalam menggambarkan kinerja suatu model atau algoritma secara khusus menggunakan Confusion Matrix . Untuk dapat memprediksi keputusan nasabah asuransi kesehatan dalam status kesinambungan polis, diperlukan suatu metode analisis data nasabah asuransi yang terdaftar. Data yang digunakan adalah data yang diperoleh dari perusahaan asuransi PT. X. Data tersebut berisi data informasi nasabah berupa 9 variabel (Nomor Polis, Status Merokok, Jenis Kelamin, Usia, Status Perkawinan, Tanggungan, Premi Bulanan, Status Lancar/tidaknya pembayaran premi dan status perpanjangan polis asuransi). Hasil penerapan Algoritma Naive Bayes Classifier menunjukkan bahwa algoritma tersebut cukup baik dalam memprediksi status perpanjangan polis dari tertanggung asuransi kesehatan PT. X, dengan rata-rata akurasi 85,82%, presisi rata-rata 96,10% dan rata-rata recall 93,55. Kata kunci: Klasifikasi, Nave Bayes, Prediksi Perpanjangan Polis Jaminan Kesehatan. Kata kunci: Klasifikasi, Nave Bayes, Prediksi Perpanjangan Polis Jaminan Kesehatan.
Customer Alert Service using Azure Cloud Monitor

Microsoft Azure offers its cloud computing services to its users and customers to deploy their applications and also helps in meeting their business needs. We used to deploy an application using various resources like Database, Virtual machines, and many others. Whenever there is a lack of resource we extend our services from Azure Cloud provider. In any case suddenly, our resources may run out of their subscription and our application will become inactive. So in those cases, if we take preventive measures to keep our application up at any time, then the loss will not happen. Using this scenario, creating an application for the security alerts of any resource which we will get to know whenever shortage is about to happen. Azure Monitor is one of such service tool offered by Azure. The proposed system uses Azure Monitor to alert our application in case of any shortages observed. The system specifies the information about the customer environments for which the service is applicable. So, we can easily compare the resources and can take measures to keep the environment safe.
Secure Online Voting System In Smart Device

Democracy and voting are essential intellectual rights of every citizen. Nowadays due to various manipulation in casting of voting which make critical issues in electronic voting systems. It includes server signs blank votes before users vote, it may cause undue multi voting. Furthermore, if users vote before the signing of the server, voting information will be leaked to the server and may be compromised. Blind signatures could be used to prevent leaking voting information from the server; however, malicious users could produce non candidate signatures for illegal usage at that time or in the future. In order to provide trusted and authorized voting system this paper proposes a novel oblivious signature scheme with a proxy signature function to satisfy security requirements such as information protection, personal privacy, and message verification. The proposed scheme based electronic voting system provides proxy signature scheme for Smartphone application. The experimental analysis and performance metrics provides higher efficiency and improved QOS of the proposed scheme with the state of art techniques.
Introducing E-Resources Reviews

We are very excited to begin our tenure as coeditors of the Reviews column with vol. 33, issue 3 of the Journal of Electronic Resources Librarianship. As part of this new beginning, we are delighte...