Reviewerly/exHarmony huggingface dataset:
Desvendando a Camada de Aplicação na Internet das Coisas: Teoria, Prática e Tendências

The Regional School of Information Systems of the state of Rio de Janeiro (ERSI-RJ) is an event that brings together professionals, teachers, and students interested in learning and discussing problems, solutions, and concepts related to information systems. ERSI-RJ mini-courses are short-term activities (four hours long) that are part of the ERSI-RJ program. They address issues related to information systems with the aim of providing the public an environment of learning and discussion of issues such as trends and challenges in the information systems area. In 2020, the ERSI-RJ was canceled because of the SAR-COV-2 pandemic. From all of the submissions for this year (2021), six mini-courses were chosen. Besides, two other submitted proposals were selected to be added as chapters of this book. A group of professionals and professors reviewed the mini-course proposals and selected the best ones. The committee members weighed in on the proposals and chose the finest ones. The selection criteria were: relevance to the event, audience expectation, timeliness and content. This book covers: the concepts and ways of detecting fake news in digital news media; an organizational modeling language that addresses the topic of competency-based human resource strategy and alignment; the use of simple language to support transparency and the development of best practices for digital transformation; the practice of data management in the field of data journalism; the introduction to game projects with educational purposes, which includes a canvas for Endogenous Educational Game Design; the concepts, definitions, applications, and research on Ethics in the information systems area; the main protocols of the Internet of Things' application layer, with a practical emphasis on the CoAP and MQTT protocols; and an example of treatment, correlation, and reducement of trends and seasonality of data by using R to analyze data about COVID-19 and public transport in Rio de Janeiro city. We believe this material will be useful for information systems classes and for supporting discussions, research, and professional practice. We congratulate and thank the authors of the chapters. We also thank the Selection Committee for their dedication and efficiency; the Editorial Committee for their effort; and the CESI (Special Committee on Information Systems) of SBC for this publication's support. Finally, the book's cover was designed by Matheus Nunes Ritton, a graduate student in information systems at the Universidade Federal Rural do Rio de Janeiro. This is his second time working on the ERSI-RJ minicourse book covers.
Object Identification by Signal Gain and Correlation

In this study, “ring rotation invariant transform” techniques are used to add more salient feature to the original images. The “ring rotation invariant transform” can solve image rotation problem, which transfers a ring signal to several signal vectors in the complex domain, whereby to generate invariant magnitude. Matrix correlation is employed to combine these magnitudes to generate the various discriminators, by which to identify objects. For managing image-shifting problem, one pixel in sample image is compared with surrounding pixels of unknown image. The comparison approaching in this study is by the basis of pixel-to-pixel-comparisons.
Increasing Curiosity Character of Student Using Movable Book

Character is a part of human behavior.Everyone can value another one by seeing their character.Positive character is an important aspect to be built so early by educators on their students.One most important character to be built on student is curiosity.Curiosity helps students to understand knowledge and develop environment's care.Teacher can use instructional media to help student develop their curiosity character.Movable book is a learning media which have special book creatures.Movable book doesn't only have 2D shaped but also has a section that can be folded, pulled, and can be moved.This study aims to increasing of students' curiosity using movable book.This research used R&D method to development of movable book.Subjects of this research were fourth grade elementary school students in Sokaraja Subdistrict, Banyumas Regency, Indonesia.Techniques of collecting data of this research were observation and questionnaire response.The research outcomes showed that movable book ultimately able to increase students' curiosity.The findings proved by observation of activity that showed the students' more active in learning process.Therefore, students' questionnaire response recognized the increasing of curiosity character.Based on findings result, researcher concludes that movable book can be choosen by teachers as one of instructional media to improving students' curiosity.
Formation of Psychological Media Competence of Specialists in the Field of Advertising and Public Relations

The importance of media competence research is connected with the totality of media communications; its psychological component is necessary for a person to understand the peculiarities of media influence and is, at the same time, poorly studied. For specialists in the field of advertising and public relations, psychological media competence (PMC) is of particular importance, since their activities involve the creation of an attractive product for the audience, while not violating the psychological safety of consumers. This determines the relevance of the presented research, the task of which was to analyze the components of psychological media competence among students. The study was conducted using the semantic differential (SD) method and a questionnaire methodology compiled by the author, which allows assessing the ability of a person to determine the psychological characteristics of media texts. Factor analysis, nonparametric Mann-Whitney and Kraskal-Wallis criteria were used for processing. The program developed by the author and tested in the course of the formative experiment is presented, it is aimed at increasing students’ PMC as of future specialists in the field of advertising and PR. 110 people participated in the study. A low level of students’ PMC was revealed. According to the analysis of the results of the experiment, a judgment on the effectiveness of the experimental program aimed at the development of psychological media competence, in particular, the skills of psychological analysis of media texts, is substantiated.
ОСОБЛИВОСТІ ВИВЧЕННЯ МАТЕМАТИЧНИХ ДИСЦИПЛІН МАЙБУТНІМИ ВЧИТЕЛЯМИ МАТЕМАТИКИ В УМОВАХ ЗМІШАНОГО НАВЧАННЯ

The authors noted that to organize the educational process of future teachers of mathematics in a blended environment, it is advisable to use online services to create interactive exercises that allow: individualize the educational process according to the characteristics and needs of students; to organize educational material taking into account various ways of educational activity; to strengthen the visual perception and facilitate the assimilation of educational material; to intensify the cognitive activity of students.
Analisis SWOT Sebagai Strategi Meningkatkan Daya Saing Pada Apotek 325 Surabaya

This research was conducted at Apotek 325 which is located on Jl. Demak No. 325, Dupak, Krembangan District, Surabaya City, East Java. The pharmacy has been established since 2000 where a new business strategy is needed to face increasing competitive and increasing complex business competition. The research method used is a descriptive quantitative approach, using the SWOT method and data collection techniques with primary data and secondary data, in which the author's secondary data is through in-depth interviews, documentation and participatory observations relating to the SWOT analysis owned by Apotek 325 Surabaya. After getting the data then the data will be analyzed with SWOT. The results of the research from the SWOT analysis obtained IFAS results with a total score of 2.01 while for EFAS results with a total score of 2.49. From the results of the SWOT diagram, Pharmacy 325 is in quadrant II, namely the Diversification Strategy. The results of the SWOT Matrix Strategy obtained that the SO Strategy was 1.7, the ST Strategy was 2.91, the WO Strategy was 1.59, and the WT Strategy was 2.8.
FACING SMART-WISE ENCOUNTERS IN FL EDUCATION

This article reveals the great potential of technology for bilingual language learners in foreign languageblended education.The world of education has undergone great changes due to the pandemic, in turn leading to a great deal of change in foreign language education.This is reflected in global online education and it sets the rules for both teachers and learners to follow.Yet where online education is applied haphazardly merely as a reaction to our changing world, its fast-growing methods and techniques then undoubtedly lead to ambiguity and disarray in the FL classroom.Our study is aimed at showing the great potential and didactical value of modern technology when combined with the help of the professional communicative competence as an educational outcome in a foreign language-blended classroom.The theoretical framework of our study includes cognitive as well as reflective concepts.The methodological framework is reflected in the experimental study that involved 54 undergraduates and second-year students who were taught over a period of four months with new technologies including Microsoft teams, Zoom, Google meet, Google forms, Moodle, Padlet, Portfolio, etc. in a foreign languageblended classroom.Educational outcome is determined by the formation of professional communicative competence (with a set of sub-competences) with the help of Microsoft teams, Zoom, Google meet, Google forms, Moodle, Padlet, Portfolio, etc.The didactical value of the aforementioned technologies has been proven to be effective and motivating, and is furthermore discussed in the "Discussion and Conclusion" section.This article is of topical interest to educators, learners, teachers and researchers.
Penerapan Digitalisasi Alur Bisnis Menggunakan Digital Signature Pada Salah Satu Bank di Indonesia Menggunakan Metode Scrum

Technological developments have led the Bank to always develop innovations that can help customers and employees to be faster in all matters, including the validation of the User ID registration form. Form validation using an ordinary signature is what has been known so far. After that, the signed registration form is sent using the Tracking System and will be processed by the User ID Management Team by reprinting it and then being signed again by Hello, the Supervisor, and the Back Office from the User ID Management Team as a sign that the application is approved. This manual method can no longer be used during this pandemic due to limited work time, the workplace, and the possibility of contracting the virus through paper. The implementation of digitizing business process flows using a digital signature is one way that activities continue to run. The application for submitting the flow of forms to digital was developed for this, as well as the change of ordinary signatures to digital signatures. This study uses a system development method using the Scrum Model. The result of developing this system is the application of a digital signature and a role application so that each role has a different function and task in the application in the process of digitizing the User ID registration form.
MRF-Chat: Improving Dialogue with Markov Random Fields

Recent state-of-the-art approaches in opendomain dialogue include training end-to-end deep-learning models to learn various conversational features like emotional content of response, symbolic transitions of dialogue contexts in a knowledge graph and persona of the agent and the user, among others.While neural models have shown reasonable results, modelling the cognitive processes that humans use when conversing with each other may improve the agent's quality of responses.A key element of natural conversation is to tailor one's response such that it accounts for concepts that the speaker and listener may or may not know and the contextual relevance of all prior concepts used in conversation.We show that a rich representation and explicit modeling of these psychological processes can improve predictions made by existing neural network models.In this work, we propose a novel probabilistic approach using Markov Random Fields (MRF) to augment existing deep-learning methods for improved next utterance prediction.Using human and automatic evaluations, we show that our augmentation approach significantly improves the performance of existing state-ofthe-art retrieval models for open-domain conversational agents.
User-centric Activity Recognition and Prediction Model using Machine Learning Algorithms

Human Activity Recognition has been a dynamic research area in recent years.Various methods of collecting data and analyzing them to detect activity have been well investigated.Some machine learning algorithms have shown excellent performance in activity recognition, based on which many applications and systems are being developed.Unlike this, the prediction of the next activity is an emerging field of study.This work proposes a conceptual model that uses machine learning algorithms to detect activity from sensor data and predict the next activity from the previously seen activity sequence.We created our activity recognition dataset and used six machine learning algorithms to evaluate the recognition task.We have proposed a method for the next activity prediction from the sequence of activities by converting a sequence prediction problem into a supervised learning problem using the windowing technique.Three classification algorithms were used to evaluate the next activity prediction task.Gradient Boosting performs best for activity recognition, yielding 87.8% accuracy for the next activity prediction over a 16-day timeframe.We have also measured the performance of an LSTM sequence prediction model for predicting the next activity, where the optimum accuracy is 70.90%.
Teachers' Perception of the Phenomenon of Cyberbullying During the Covid-19 Pandemic

Cyberbullying is a negative social phenomenon that takes place online. It consists of harassing technology users through various means and various platforms. Frequent exposure to this phenomenon can cause emotional, mental and social problems for victims, witnesses and aggressors. In the current pandemic context, when education has shifted to the online environment, and students spend a significant amount of time using different devices and online platforms, the number of cyberbullying cases is constantly increasing. There is currently little research describing how this phenomenon influenced online aggression. In preventing and eliminating this phenomenon, teachers play an important role, due to the time they spend with students and the impact they can have on them. In order to identify teachers' perceptions of this phenomenon during the pandemic and how they manage it in the classroom, we conducted a qualitative research on 10 teachers from primary and secondary schools. The results of the research were interesting and offered a new perspective on this phenomenon during Covid-19 crisis.
The Effect of the Collaborative Online Learning Model on Students’ Learning Process and Performance in an Open University

The use of collaborative online learning models is expected to develop teamwork and student participation, which is a part of 'non-cognitive skills' that are needed for self-development.The quasi-experimental research on the collaborative online learning model aimed to analyze its effect on students' learning processes and students' outcomes; and to analyze student experiences in implementing such a model.The study sample was a group of 85 students from an Open University who participated in the online tutorial and consisted of 14 teams.The data on students' learning processes and students' outcomes was taken from the online course on Analytic Learning and from their responses to an online questionnaire, and the results obtained were analyzed.In terms of students' performance, the correlation between the number of posts and student scores on the online tutorial indicated a positive correlation (r = 0.506, p-value 0.01), and the correlation between the number of posts with the final score also indicated a positive correlation (r = 0.348, p-value 0.01).The results showed a significant difference in the number of posts in the online tutorial in terms of the region of origin/student's domicile (p-value = 0.005).There were ten aspects of collaboration measured through online questionnaires in the study.The results of the measurements on the 10 aspects showed that the average rating of respondents was above 4.0 (strongly agree to strongly disagree) for 9 aspects, and for one, it was 3.90.
A Study of incremental Learning model using deep neural network

Deep learning has arrived with a great number of advances in the research of machine learning and its models. Due to the advancements recently in the field of deep learning and its models especially in the fields like NLP and Computer Vision in supervised learning for which we have to pre-definably decide a dataset and train our model completely on it and make predictions but in case if we have any new samples of data on which we want our model to be predicted then we have to completely retrain the model, which is computationally costly therefore to avoid re-training the model, we add the new samples on the previously learnt features from the pre- trained model called Incremental Learning. In the paper we proposed the system to overcome the process of catastrophic forgetting we introduced the concept of building on pre-trained model.
Analisis Tingkat Kepuasan Pemustaka Terhadap Kinerja Pustakawan di Perpustakan Daerah Kabupaten Sukabumi

User service is an important element in the library. Libraries should provide the best services to the users or what is often called as excellent services. The excellent service really needs to be supported by the high performance of the librarian. So the users can feel satisfaction from the service thet get. This study aims to determine the level of the user’s satisfaction to the librarian’s performance in Perpustakaan Daerah Kabupaten Sukabumi and whether users have experienced unfavourable treatment due to the librarian’s attitude. The method used in this research is quantitative survey research. The data was collected was through filling out the google form questionnaire. The sample of this research is 40 users who are a registered users in Perpustakaan Daerah Kabupaten Sukabumi. The result showed that the average score of user’s satisfaction was 3.48 which mean that the users were satisfied with the librarian’s performance. 70% of respondent stated that the librarian had worked professionally and 30% of respondent stated that they have experienced inappropriate treatment from the librarian in the form of unfriendly, indifferent, and slow in providing service.
Brand Image and Supply Chain Performance of Automobile Marketing Firms in Rivers State of Nigeria

This study examined the influence of brand image on supply chain performance of automobile marketing firms in Rivers State of Nigeria. The population for the study was sixty-eight (68) automobile marketing firms in Rivers State, whose wholesome list was acquired from the business unit of the Rivers State Ministry of Commerce and Industry as at October, 2020. A causal thought-out analytical model was inculcated to grasp the two hypotheses poised for the study. To arrive at the sample size for the study, the Taro Yamane’s formula for determining sample size was used. The simple random technique of probability sampling was utilized to select 40 firms from the sample and the respondents for the study were verified by contacting four managers from each of the 40 automobile marketing firms under study. The number of respondents contacted was: 40 multiplied by 6, which gives 240 respondents. A 5-point likert-scaled questionnaire was administered to respondents. The accurate questionnaire sent out were 240, from which 215 responses were received, and after establishing the validity of the questions 200 (93%) The 200 questionnaires generated the useful response rate. The analysis was made up of descriptive and inferential statistics with SPSS version 22 providing aid. The inferential statistics involved three parametric inferential tests- Pearson’s Product Moment Coefficient (PPMC), One Way Analysis of Variance (ANOVA) and Simple Regression Analysis. The PPMC was used to test the relationship between the variables, ANOVA was employed to test the differences in means of responses on the variables, while by means of the simple regressions, the study tested the effect of the elements of brand image on supply chain performance. The results demonstrated that brand identity has a strong, positive and significant influence on supply chain performance, and brand personality has a moderate, positive and significant influence on supply chain performance. Therefore, the study concludes that brand image significantly influences supply chain performance of automobile marketing firms in Rivers State, and recommends that, managers of automobile marketing firms should design brand image enhancing programs that are competent in bringing about positive supply chain performance in order to survive in the highly competitive and dynamic business landscape.
The Utilization of the Deutsche Welle Learning Application in Teaching German Vocabulary

This study aims to determine (1) the differences in German vocabulary mastery between classes taught using the Deutsche Welle application and conventional methods and (2) the effectiveness of the use of the Deutsche Welle application in increasing German vocabulary mastery. This research uses a quasi-experiment with pre-test post-test control group design. The population was Grade X students of SMA Islam Al Azhar 9 Yogyakarta. The samples were Grade X Science 3 (experimental) and X Science 2 (control), determined by a simple random sampling technique. The validity of the instrument was tested with content validity, construct validity, and item validity using the Pearson Product Moment calculation. Reliability was calculated using the KR-20 formula, and the research data were analyzed using the t-test. The results showed that the t-count value of 3.049 was greater than the t-table of 2.009 at the significance level =0.05 and db=49. The post-test mean value for the experimental class was 75.23, which was higher than the post-test mean for the control class, which was 69.23. The effectiveness weight was 9.45%.
The Impact of Phishing on the Business Sector in KSA : Analytical Study

One of an old topic that has been sparked controversy and debate since the beginning of the development of the Internet and the emergence of sites is talking about the privacy and confidentiality of user information on the Internet, and today the software or technologies that record user behaviour in a site with the aim of collecting marketing information about users and selling them later to companies and economic institutions, is considered undesirable with it, but we are still generally on the safe side. The paper describes theft operations known as Phishing, electronic phishing, or electronic fraud that may cost you all of your savings. Phishing is a criminal activity that uses the method of social engineering and is one of the most effective ways to trick people who pay little attention. Many hackers use hidden methods such as malware infecting the user devices to steal your sensitive information, while some of the professionals directly request the details, depending on the lack of user experience. This paper will attract the interest of everyone working in the government or private sector. Additionally, it will be very beneficial for the business sector, especially staff dealing with outside parties