Reviewerly/exHarmony huggingface dataset:
A New Cryptography Scheme Based on Laplace Transform and a Substitution-Permutation Network

The aim of cryptography is to convert plaintext into ciphertext which can be transmitted via insecure communication channels, so that, it impossible this ciphertext cannot be used for plaintext reproduction without knowing the corresponding key.Certain current Laplace transformation-based encryption methods have been proven to exhibit various security defects, such as the size of the secret key used for decryption usually greater than the size of the Plaintext, because that the secret key represents the quotient of Laplace transform values on 26, and these values larger than plaintext values.Therefore ,the encryption process is not important, as well as the possibility of obtaining the plaintext without knowing the secret key.To solve this problem, this paper proposes a new scheme cryptosystem based on Laplace Transform with using substitution boxes.The message is encrypted in many cycles, the secret key is added in each cycle and resultants values from the Laplace transform are substituting with the corresponding values from the substitution box that would be determined based on quotient and remainder values of Laplace transform values on block length.The security analysis and statistical results demonstrate that the proposed scheme provides a higher security level against different cryptographic attacks.
COMPUTER GAME ADDICTION WITH UNDERLYING DEPRESSION: MANAGEMENT WITH MENTALIZATION - BASED COGNITIVE THERAPY

Results:The study group was representative according to place of living and profession (Table 1).Mean age of participants was 35.3±11.62 yr (23-65), 53.3% were men.People aged 30-39 accounted for 38.4% of the respondents, aged 40 to 49 -30.2%, and aged 50 to 59 -27.1%.Twenty five percent declared living in villages, 26.9% in towns (>5 000 inhabitants), and 38.0% in cities (>200 000 inhabitants).Fourty percent declared different levels of university education, and 47% higher education.
Motivation of students in online education

Within the framework of this work, an attempt is made to scientifically comprehend the principles of student motivation, in particular its features in the framework of online education. The authors consider the educational process as a communication between a teacher and a student and argue that online education radically changes the process of communication between the subjects of the educational process and translates it into a mediated and asynchronous format. To identify factors that determine the degree of motivation of students studying in the online format, the scientific work of foreign researchers with experience in the use of online technologies and the skills of scientific understanding of how the online format affects the assimilation of new knowledge by students was considered. The paradigm basis of the study is the cognitive approach, and the consideration of the process of mastering knowledge is based on the theory of MOA (motivation, opportunity, ability) and the probability model of conscious information processing. It has been established that the main advantage of online education is the reliance on independent work of students, and the use of project-based learning is the best way to overcome the obstacles facing online education and unleash its full potential. The external and internal factors influencing motivation are identified, the main problems of the Russian education system, which is attempting to enter the online format, are identified, and recommendations are given for optimizing this process aimed at increasing the motivation of Russian students.
DEVELOPING E-SCATTERGORIES GAME IN WRITING DESCRIPTIVE TEXT FOR THE TENTH GRADE IN VOCATIONAL SCHOOL

The objective of this study is to develop E-Scattergories game as a media to teach writing descriptive text for the tenth grade students in SMK Namira Tech Nusantara Medan. This study was conducted by using Research and Development design through six stages; gathering data and information, need analysis, designing materials and media, validating, revising, get the product. The subject of the study was tenth grade students and the English teacher in SMK Namira Tech Nusantara Medan. The data were gathered by reviewing documents, conducting interview to English teacher and distributing questionnaires to TKJ 1 (Teknik Komputer Jaringan) consisting of 18 students to get the students’ need. The interview and questionnaire results proved that the students to neededdigital game as a media. The developed writing materials were validated by two experts with the average scores of 92.66 of 100. It shows that the E-Scattergories game is valid and suitable to be used for the tenth grade students in SMK Namira Tech Nusantara Medan. The final product can be used from EScattergories developer.egoarchitect.com.Key words: development, E-Scattergories game, digital game, descriptive text.
Developing the content of distance learning courses on the basis of pedagogical design

Developing the content of distance learning courses on the basis of pedagogical designʺThe article analyzes the principles and features of models of pedagogical design and identifies thegeneral advantages of using models of pedagogical design in the development of the content of a distancecourse. An increase in the efficiency of the educational process on condition of introducing the developedmaintenance of distance courses on the basis of certain principles and models of pedagogical design aretheoretically substantiated. The main stages of the development of the content of a distance course on the basisof pedagogical design are determined, characterized and analyzed. In the modern world information space,there is a tendency to blur the line between traditional and distance education, because most people resort to theInternet in the learning process. Currently, the Internet has the opportunity to find any information, any areathat may be of interest, engaging and useful. The issue of training modern students – future teachers ofengineering disciplines – who are deeply aware of the development of all areas and opportunities of the Interneteducation is an urgent and important issue today. Modern students form an information-aware generation, i.e.the availability of electronic educational programs, textbooks, and tasks does not go beyond their usual life,their life "online". Information support in some cases helps students to acquire knowledge, skills, as well as tomove up the career ladder. In connection with the rapid development of technology, educational informationtechnology should develop at the same pace, distance and online education in particular. Distance education is an alternative that allows solving modern problems, providing rapid information development. Theeffectiveness, efficiency and applicability of any distance course directly depend on the proper planning,development and pedagogical design of the content of the Internet education. Theories of pedagogical designare important because they help to develop a vision of the educational process at the early stages of design. It isa vision of results (how knowledge and skills of learners will change after studying a distance course developedaccording to the principles, models and rules of pedagogical design) and means (how these changes can befacilitated). The question of features and approaches to the development of a distance course on the basis ofpedagogical design is the purpose of this article.&nbsp
Making it Better: A Project Management Framework for Creating a Research Data Services Program

When librarians at Oklahoma State University (OSU) began creating services to support data intensive research they found plenty of published guidance about doing surveys and outreach to get started. However, they also found that offering the prescribed workshops and consultations didn’t assure that researchers would use them. A Sparks! grant from the Institute of Museum and Library Services (IMLS) allowed OSU to try two novel techniques, customer journey mapping and design thinking, to engage researchers and answer the question “What is the role and impact of the library in helping researchers manage their data along the entire project lifecycle?” One of the outcomes of the project was creation of a toolkit that provides a step-by-step project management plan to guide libraries, especially those with limited resources, to prioritize needs and create offerings with the assistance of their user communities. This column intends to discuss this project management framework, with an emphasis on how it was implemented to meet the goals of the IMLS project.
Psychological Features of Students Studying at the Military Department in the Civil University

Background: Recently, an approach to assessing dysfunctional thinking has emerged that focuses on the form of cognition rather than its content.A cognitive style known as extreme responding has been found to predict depressive relapse (Forand & DeRubeis, 2014; Teasdale et al., 2001).Many studies demonstrated that cognitive therapy reduced relapses of depression via changes in the style rather than the contents of thinking, reducing absolutist or dichotomous thinking.But there are few empirical researches about the relation between dichotomous thinking and depression.The first purpose of this study was to explore the effect of dichotomous thinking on depression.Rumination, which consists of longer chains of repetitive, recycling, negative, and self-focused thinking is also a key cognitive or behavioral feature of dysphoria and major depressive disorder.We expected that dichotomous thinking will increase depression (Hypothesis 1).It was expected that dichotomous thinking will enhance ruminative thinking (Hypothesis 2).Our Hypothetical model are showed in Figure 1.
Glorifying Indonesian Language through Online Learning

The use of Indonesian language among young people lately tends to be cause for concern.This was a result of the freedom of language and expression exercised in social media.This article aims to describe efforts to re-enlighten the use of Indonesian through online learning using the Google Classroom and WhatsApp applications.By using a qualitative descriptive method, the researcher found non-compliance with Indonesian language rules in sentences used as written communication during online learning.The results showed that efforts to restore the use of Indonesian can be done starting from a limited environment, namely the environment of education.This effort can be done by regrowing the language attitude of students so that they can appreciate and preserve the Indonesian language, for example through giving prizes to students who already use Indonesian according to the rules and applying penalties for those who have not used it.
Automated Attendance System with Facial Recognition Using Python

Face recognition is among the most productive image processing applications and has a pivotal role in the technical field. Recognition of the human face is an active issue for authentication purposes specifically in the context of attendance of students. Attendance system using face recognition is a procedure of recognizing students by using face biostatistics based on the high definition monitoring and other computer technologies. The development of this system is aimed to accomplish digitization of the traditional system of taking attendance by calling names and maintaining pen-paper records. Current attendance strategies are tedious and time-consuming. Attendance records can be easily manipulated by manual recording. The traditional process of making attendance and present biometric systems are vulnerable to proxies. This paper is therefore proposed to tackle all these problems.
Implementation of Smart Grid System on Alternative Energy of Floating Houses at Musi River Bank Estuary of The Ogan River

Technology has been integrated into daily uses electrical energy as the main energy source.In the utilization of electrical energy, there is a very detrimental waste such as turning on electronic equipment but not being used.In addition to the factor of human negligence, the unmonitored electrical energy used causes ignorance of the wasting of electrical energy.Therefore, this study build a system that can monitor and control the use of electricity based on the Internet of Things with NodeMCU and PZEM-004T devices.NodeMCU equipped with the ESP8266 wi-fi module can transmit data from the PZEM-004T sensor readings via the internet network as the result.The PZEM-004T sensor can read the value of AC voltage (V), AC current (A), Active power (W), power factor (Cos Phi) and used electrical energy (kWh) and frequency.
Pengaruh Motivasi Belajar Dan Komitmen Organisasional Terhadap Prestasi Mahasiswa Studi Kasus Pada Mahasiswa Universitas Raharja

Student achievement is one of the main factors that need to be considered on campus to achieve the university's goals. Students are an important value owned by the university where all activities on campus can be carried out with the presence of students. One way that students are encouraged to study earnestly so that they can achieve optimal achievement, companies need to pay attention to learning motivation and organizational commitment. The purpose of this study is to find out and explain the influence of learning motivation and organizational commitment to student achievement in university students. The type of research used is survey research through google online form that is explanatory research. The number of samples in this study was 9 students. From the results of statistical analysis that learning motivation has a significant effect on student achievement variables, as well as learning motivation variables and organizational commitment variables have a significant effect on student achievement variables.
Eye Movement Recognition based Human Machine Interaction System

Abstract: The sector of human computer access has been undergoing a new revolution lately. While other companies have and are still spending millions to develop highly visually appealing GUIs and state-of–art interaction systems for the common users since the inception of desktops, the development of interaction systems for the disabled has taken a kick start recently. This Eye gaze system is a control system for people with naturally challenged which can run system with their eyes. Where we all are blessed to operate the computer with ease using our hands. But in case of paralytic patients with no mobility and speech even though their brains and vision are functional, they can’t utilize their intelligence and stay unemployed. Thus, our eye gaze system helps in providing solution to this problem. Keywords: Interaction systems, Eye Gaze system, Speech synthesize
High-Achieving Students’ Strategies toward E-Learning Practice during Covid-19 Pandemic

This research investigates the strategies used by high-achieving students of the English department at several colleges and their understanding of learning materials studied during the Covid-19 Pandemic. The researcher decided on a small sample size of 9 students majoring in English at several universities in Bengkulu to be sampled in this research, ranging in age 20 to 21 years old. This research employed a descriptive qualitative method to collect the research data using the interview method to answer the research questions. From the results of this study, following the focus of the proposed research, there are three kinds of strategies used by nine students in this study. The first is a note-taking strategy, the second is a reading strategy, and the third is a recording strategy. This strategy is used by students who high-achieving in the learning process to understand the material being studied.
The K-NN method was used to assess student satisfaction with the services provided by employees of research and service institutions

Population growth caused by the year of birth led to the classification of population groups into several generations. Classification is important because in each generation there is based on population growth has different characteristics and traits in each generation. This research was conducted to try to group generations based on provinces in Indonesia based on the number of residents owned. When researchers analyzed the data obtained from population census data conducted by the central statistics agency (BPS). The method used in generation classification grouping uses the K-Means algorithm method based on 3 clusters. Based on the results of calculations carried out for 3 clusters obtained cluster 1 has 25 provinces, cluster 2 has 3 provinces and cluster 3 has 6 provinces. Based on the 2020 census that has been conducted, the current population is generation Z, generation and Pre Boomer generation is last in line so that from the available data can provide information about mapping in 34 provinces to be able to improve communication patterns between generations and fulfill public facilities that can be used every generation
The Epistemology of Machine Learning

This paper argues that machine learning is a knowledge-producing enterprise, since we are increasingly relying on artificial intelligence. But the knowledge discovered by machine is completely beyond human experience and human reason, becoming almost incomprehensible to humans. I argue that standard calls for interpretability that focus on the epistemic inscrutability of black-box machine learning may be misplaced. The problems of transparency and interpretability of machine learning stem from how we perceive the possibility of ‘machine knowledge’. In other words, the justification for machine knowledge does not need to include transparency and interpretability. Therefore, I am going to examine some sort of machine learning epistemology and provide three possible justifications for machine knowledge, which are formal justification, model justification and practical justification.
The effect of HR practices on job loyalty through psychological empowerment and job satisfaction in Pt. X

In Indonesia, the growth of the number of construction companies is apparently not in line with the growth of experts.This study aims to analyze the effect of HR Practices on Job Loyalty through Psychological Empowerment and Job Satisfaction at PT. X.This study using quantitative methods with a sample used is 80 employees with the criteria have worked more than two years, have a minimum high school education, at the staff level.Data processing in this study uses SPSS 22.0.From the results of data processing it was found that HR Practices (Training and Reward) had a significant influence on Psychological Empowerment (Job Competence, Job Autonomy, Job Impact).Job Competence and Job Impact does not have a significant effect on Job Satisfaction.Job Autonomy has a significant influence on Job Satisfaction.Job Satisfaction has a significant effect on Job Loyalty.
Content Moderation Issues Online: Section 230 Is Not to Blame

Section 230 of the Communications Decency Act (“Section 230”) is the glue that holds the Internet—as we know it today—together. Section 230 says, “No provider or user of an interactive computer service shall be treated as the publisher or speaker of any information provided by another information content provider.” Simply put, Section 230 says that websites or platforms are not liable for content posted by third parties. There are many critics who attribute the maladies of the online world to Section 230. Section 230 presents issues such as over-moderation by Interactive Computer Service (“ICS”) providers that can go as far as to be considered censorship and under-moderation that leads to uncomely and even unsafe cyberspaces. Repealing or weakening Section 230 will not fix over-moderation—or even under-moderation—online but allowing and fostering competition in the tech sector will.
Construction of Mobile Screening Movie Recommendation Model Based on Artificial Immune Algorithm

The mobile screening of digital movies can fully take into account the viewing experience of scattered areas. As a public cultural service system, it is playing a pivotal role. The consistency of the film screened with the tastes of the audience in the service area of the screening team has largely affected the quality of rural public culture services. Traditional recommendation algorithms directly use raw data to make predictions, leading to deviations in predictions. This article draws on the principles of immune recognition, clone selection, immune mutation, and self-adaptation of the artificial immune system to improve the recommendation effect of single-type data, the recommendation effect of sparse data, and the recommendation effect of project cold start problems and discusses the recommendation based on artificial immunity. For the single type of data, there are only positive samples, which leads to the problem that the training results are all positive. This paper proposes a single-class recommendation algorithm based on artificial immunity. The algorithm uses the positive and negative sample addition method proposed in this paper to add positive and negative samples related to user selection, so as to effectively solve the problem of difficult definition of data negative samples. Then, the artificial immune network is used to cluster the users of various activities, reduce the size of the candidate neighbor set, calculate the user’s nearest neighbor set, and give recommendations.
Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies

We present a framework to ameliorate the classifi-cation of disaster-related social media messages.In the present work, we have incorporated the Convolutional Neural Network, and Long Short-Term Memory Network.To demonstrate the applicability and effectiveness of the proposed approach, it is applied to the thunderstorm and cyclone Fani dataset.The results indicate that CNN is better than the LSTM model with an accuracy score of 0.9999 (99.99%) and loss score of 0.0410.The output from the research study is helpful for disaster managers to make effective decisions on time.
Varieties of Hurford disjunctions

Hurford 1974 famously observed that a disjunction is generally infelicitous if one of the disjuncts entails the other. Several accounts of Hurford’s observation have been put forward in the literature, grounding the infelicity of the so-called “Hurford disjunctions” into various principles of language use. In this article, we investigate three variants of Hurford’s original cases and we show that none of the major explanatory approaches to “Hurford disjunctions” captures all at once Hurford’s original cases and our novel variants. We discuss the challenges raised by our data for existing approaches to informational oddness and, more broadly, for the descriptive generalization originally proposed by Hurford. EARLY ACCESS