Reviewerly/exHarmony huggingface dataset:
The Potential of Adventure Game as a Media to Visualize Waste Disposal as Environmental Problems

This research aims to identify the potential of utilizing adventure games to emphasize the waste disposal as environmental problems through the use of visual elements.Adventure game is one of the popular game genres that is known for its 'open world' system that allows players to explore every inch of the world space that is presented in that game.This makes every detail of the objects that were put in that world space determine what kind of mood and environment that the designer wants the player to see and interact with.The interaction between the player and the game world in the adventure game is also believed to be strong.Therefore, the visualization of the world that the designer presents in the game will be an important aspect that ensures the success rate of the gameplay.There are three adventure games with waste disposal aspects that are studied in this research: The Silent Age, Machinarium, and The Inner World.The visual elements of these three games will be analyzed through the A-E-I-O-U (Activity, Environment, Interaction, Object, and User) method framework.The goal of using this framework is to analyze data easier, while mapping and finding the significant relationship and interactions between categories inside the games.The result of this research shows that adventure games have the potential to visualize environmental problems by the world building aspect within the adventure game.By providing a visualization of environmental problems in the game, it is argued that players will develop interest in the environmental problems through game interaction.The result of this research hopefully could be useful information for future game designers in order to create better creative media that can improve people's awareness of the environmental problems that we all had.
THE CHALLENGES OF DEVELOPING EFFECTIVE WRITING SKILLS FOR ACADEMIC PURPOSES IN STUDENTS IN THE REPUBLIC OF NORTH MACEDONIA

Leonard J. Rosen defines academic writing as an “informed, logical, clear, well structured, and based on evidence” (Rosen, 2009) prose style which serves to describe, understand, and further investigate the world around us. Academic writing rests upon common standards of logic and clarity which enable writers to enter into a conversation through their writing. Developing effective writing skills for academic purposes is a crucial aspect of higher education. These skills are indispensable for the students since they affect their overall academic success, but also their life outside the university. The present paper deals with the challenges of developing effective writing skills for academic purposes in the Macedonian language in students in the Republic of North Macedonia. It presents a part of the findings of a five-year research conducted at the higher education institution University American College Skopje (UACS). The aim of the research is to explore the gap between the expected already acquired writing skills at secondary school and the writing skills for academic purposes the students should develop in higher education. The present paper presents the data obtained from the self-evaluation process conducted from spring semester 2015 until spring semester 2019. The quantitative research method was used in the research and the quantitative data obtained were analyzed, textually interpreted, and visually presented. Twenty nine point three percent of the students said that they knew how to write a short essay where they would present evidence for a point of view and 32.4% said that they are not sure how to do this. Even though writing an essay (titled “project assignment”) is a required part of the mandatory State Baccalaureate (Matura) exam since 2010 and all students had completed it in order to enroll at University, 38.3% of the students involved in the research said that they do not know how to do this.
Optimasi K-Klasterisasi Ketahanan Pangan Kabupaten Jember Menggunakan Metode Elbow

&#x0D; &#x0D; &#x0D; Clustering is a process of grouping data based on similarities or similarities with other members in a group. Food security is the condition of a country to provide food for individuals, which does not conflict with beliefs, religion and culture and leads a healthy, active and productive life. Food instability and food insecurity can be caused by many factors, one of which is natural disasters. In 2020, Jember Regency experienced 121 natural disasters. Determination of the optimal K value is done to get the right number of group divisions from the clustering process, in this case using the elbow method. The data used in the clustering process are sub-districts in Jember Regency using transient attributes or natural disaster events. Based on the results of sub-district data grouping from the number of clusters k=1 to k=10, the optimal k value was found at the value of k = 4 with the SSE (Sum of Square Error) value = 24,809.&#x0D; &#x0D; &#x0D;
Minorities rely on social networks to publicize their issues A Survey of Minorities in Iraq (Nineveh as an example)

The research aims to identify the extent to which minorities depend on social networking sites to introduce their issues and to know the extent to which minorities follow these sites and to identify the most important sites they rely on and the extent of their trust in them and to know the effects resulting from their dependence on these sites after these sites have become one of the most important promotional means for what It is characterized by the ease of communication and creating a public space for discussion and formation of views. This research is a descriptive research that adopted the survey method. The research tools are observation, interview, and questionnaire that were used to collect data for the field study. The research sample is a simple random sample from the total community of minorities located within the geographical area of Nineveh Governorate. The research concluded with a set of results, most notably: the respondents’ reliance on social networking sites to get acquainted with the news of the sect to which they belong. Follow-up on social networking sites, and the search results showed the side of the terms closest to the respondent for the category (components) and then (minorities).
IoT Based Traffic Control System using Image Processing

In the current scenario we can see that the traffic jam has become a serious problem in rapidly growing cities (As per their population) of India by which there is increase in air pollution, Fuel consumption as well as vehicular density. So there is a requirement to find a new way for traffic controlling traffic system which will be managed through real time IoT based traffic control system using image processing. This is a smart traffic management system that is designed to control real time traffic system which consist of components of Raspberry Pi, Pi camera. Raspberry pi is the key component which is used to control all performance multitasking. By using cameras, we monitor different lanes constantly. Image processing is used to examine detection and counting no. of vehicles in different lanes. It increases the traffic efficiency and clearance. The signal light will be decided as per the no. of vehicle count using image processing.
Instrument Development for R-Service Quality: A Literature Review

Motivated by a paucity of knowledge on the measurement of robotic service (r-service) quality, the current study strives to review the existing literature on rservice quality, with a focus on the potential methodological issues of developing measurement instruments and identifying the dimensionality of r-service quality.With a content analysis of 55 articles, this study identifies several methodological limitations of existing studies in developing measurement scales of r-service quality.This review reveals that dimensions of r-service quality are prone to be contingent on specific contexts of service industry and service type.Several common dimensions regarding evaluating r-service are identified, including tangibility, responsiveness, reliability, empathy, assurance, ease of use/usability, usefulness, anthropomorphism, perceived intelligence, and social presence.This study is the first systematic literature review on r-service quality dimensionality.
Discovering and Interpreting Biased Concepts in Online Communities

Language carries implicit human biases, functioning both as a reflection and a perpetuation of stereotypes that people carry with them. Recently, ML-based NLP methods such as word embeddings have been shown to learn such language biases with striking accuracy. This capability of word embeddings has been successfully exploited as a tool to quantify and study human biases. However, previous studies only consider a predefined set of biased concepts to attest (e.g., whether gender is more or less associated with particular jobs), or just discover biased words without helping to understand their meaning at the conceptual level. As such, these approaches can be either unable to find biased concepts that have not been defined in advance, or the biases they find are difficult to interpret and study. This could make existing approaches unsuitable to discover and interpret biases in online communities, as such communities may carry different biases than those in mainstream culture. This paper improves upon, extends, and evaluates our previous data-driven method to automatically discover and help interpret biased concepts encoded in word embeddings. We apply this approach to study the biased concepts present in the language used in online communities and experimentally show the validity and stability of our method.
MYKOLA DILETSKY’S “MUSICAL GRAMMAR” IN THE CONTEXT OF ENLIGHTENMENTAL TRENDS OF THE 17TH CENTURY

Western European civilization of the XVII century is marked by the active initiation of educational projects, which against the background of numerous religious conflicts contributed to the understanding and establishment of a new system of international relations. In particular, thanks to the signing of the Treaty of Westphalia in 1648, Roman Catholic Christianity and the Protestant churches were equal in rights. At the same time, the national liberation war began in Ukraine under the leadership of Bohdan Khmelnytsky, and in the Moscow principality, on the initiative of Patriarch Nikon, the liturgical reform of the Orthodox rite intensified. All these changes had a religious context and were based on important socio-cultural and educational reforms – printing houses were established, where spiritual polemical literature and church books were printed, music chapels were organized, schools were opened, and so on. In Ukraine, in particular, party polyphony is spreading and universal primary music education is being established, which has contributed to raising the level of musical education of Ukrainians. At this time, talented Ukrainians study at Kyiv-Mohyla or Vilnius Academy, which was famous for its high level of education. Thus, the activity of the Ukrainian composer and theorist, author of the first national music-theoretical treatise “Musical Grammar” – Mykola Diletsky began with Vilna. He became one of a large cohort of educated Ukrainians – theologians, philosophers, writers and musicians, whose efforts were aimed at reforming the liturgical rite of the Moscow principality. For this purpose, he wrote “Grammar of Music” in Vilnius – the result of conscious pedagogical work aimed at spreading polyphonic singing to the East – through Smolensk to Moscow and St. Petersburg. As a result, M. Diletsky’s activity outside Ukraine fully corresponded to the educational tendencies of that time, however, the name of our talented compatriot is still assigned in Russian scientific circles. Therefore, the priority task of Ukrainian musicological thought continues to be the coverage of the activity and popularization of the composer's work of Mykola Diletsky, who actively worked in line with the European educational tendencies of the 17th century.
Creative Potential Development in the Structure of the Future Designer Professionalism

Background: The problem of the designer's creative personality formation by effective remedies and methods of his affective, personal, social, and cognitive spheres development through his inclusion in artistic and design activity is relevant.The aim of the study: To determine the development features of the creative potential of the future designers' personalities. Methods: Analysis, synthesis, systematization, and generalization of theoretical principles on creative activity, conditions for the creative personality formation and creative abilities development, design as a synthesis of technique and art, formation of design education, professional education of future designers.Results: The creative potential within the framework of the activity approach and its components are defined as a set of properties of a particular character and intensity of interrelation, characterizing the extent of a person's ability to carry out the creative activity.The main features of design and artistic creativity, which make up the designer's professionalism and features of their identification in a professional occupation, are highlighted.The system of methods, techniques for the development of motivational-target, cognitive-content, and reflexive-creative components of the creative potential of future designers is presented.This system is aimed at awareness of the system of images "I (professional)-Others-World";
On the aorist in conditional antecedents

This paper aims to render an explanation for the interpretations of the Turkish aorist when it occurs at the antecedent clause of a conditional. I argue that at the main predicate position the aorist marker has two main interpretations, namely the future-oriented and the characterizing ones. However, inside the antecedent clause, these readings are not readily accessible in the way that they are at the consequent clause, i.e., the main predicate of the conditional. I tackle this situation from two different perspectives and layout two proposals. Based on Kratzer’s (1986, 1991) well-known restrictor analysis of conditionals, my first proposal is that the aorist marker is licensed in the antecedent clause only if the consequent clause has one of its matrix clause interpretations. Nonetheless, various examples allow the aorist marker in the antecedent even though the consequent clause has neither the future-oriented nor the characterizing interpretations. Therefore, I change my approach and make a final proposal that satisfactorily describes both the cases that conform to my initial proposal and the ones that do not. I propose that the aorist in the antecedent either sets the evaluation time of the consequent to the future, in line with Schulz’s (2008) analysis or makes a quantification over situations, as von Fintel (1994) argues for.
Need Response Analysis to the Development of E-Comics in Material Quantities and Units

This research aims to analyze the response to the needs of E-Comic-based learning media for high school students. Data analysis techniques are carried out using quantitative data analysis and concluded with qualitative analysis. This study is an R n D study with the ADDIE model. In this study the stage used is the stage of needs analysis, the instrument used in this study is a school observation sheet, interview sheet, and a need questionnaire sheet for E-Comic-based learning media. Data collection techniques are using observation data, interviews, and questionnaire data. The subjects used in this study were physics teachers and X-class learners at SMA N 6 and SMA N 8 Bengkulu City with a total of 169 students and 5 teachers. The results of this study showed that the instrument used was valid and reliable. The results of this study also showed that high school students and teachers strongly agree and needed E-Comic-based learning media. The results of this study showed that the instrument used was valid and reliable. Therefore, from these results, researchers hope to contribute to education practitioners in order to develop teaching materials in the form of E-Comic Materials and Units for students.
FAKTOR YANG MEMPENGARUHI PRESTASI BELAJAR PESERTA DIDIK DI KELAS X SMK NEGERI 3 PADANG

This research is motivated by the presence of students who are less able to adapt to the situation or problem that is being faced, so that it has an impact on their learning achievement. The purpose of this study is to describe: 1) Internal factors that affect student achievement. 2) External factors that affect student achievement. This research uses descriptive quantitative method. The study population was 247 students selected by purposive sampling technique with 45 participants. Based on the research results obtained as follows: 1) Internal factors that affect student achievement are in the low category 2) External factors that affect student achievement are in the low category. The results of this study are recommended for guidance and counseling teachers to develop special programs related to improving student learning achievement so that students can achieve the desired achievement.
Evaluasi Sistem Informasi Dosen pada ITB Stikom Bali Menggunakan Metode PIECES (Performance Information Economics Control Efficiency and Service)

ITB STIKOM BALI is an educational institution that uses a lecturer information system to help work. However, there are still some obstacles regarding how effective the lecturers' satisfaction is in using the Lecturer Information System. This research is focused on the analysis of the effectiveness of satisfaction using the Lecturer Information System as measured by the PIECES variables. The population of this study includes all active lecturers who use the lecturer information system as many as 155 people. The samples were determined by applying the SRS (Simple Random Sampling) technique using tables developed by Isaac and Michael. Of the 155 populations based on the 10% significance calculation selected to get a total of 99 samples, data collection was carried out by giving a questionnaire to all samples and there were as many as 93 people that returned it. The technique used to evaluate the Lecturer Information System is the PIECES method which focuses on 6 variables; Performance, Information, Economic, Control, Efficiency, and Service. This technique is more suitable to use and can focus on measuring the accuracy of each variable. To measure the level of user satisfaction from each variable, the questionnaire had 17 statements using a Likert scale to determine the value of the user's opinion on the system. The results of the analysis were obtained from the calculation of the questionnaire value of all respondents using the satisfaction calculation formula developed by Kaplan and Norton. From the reference criteria for the assessment of satisfaction, the results of the analysis show that the average value is 3.4 - 4.91, which means that users are satisfied using the Lecturer Information System with details of the scores on the variables Performance 4.19, Information 4.16, Economic 4.26, Control 3.85, Efficiency 4.23, and Service 4.21. It can be concluded that the use of Lecturer Information Systems statistically shows that it is quite effective. After getting the results of the value of each variable, a summary of recommendations will be given based on the smallest value in the sub-variables in each variable that received dissatisfied and very dissatisfied responses from the average questionnaire value.
Aplikasi Prediksi Penjualan Kopi dengan Metode Single Exponential Smoothing untuk Mengetahui Produk Kopi Terlaris

Indonesia is the fourth-largest coffee exporter in the world. for the Indonesian state, it only focuses on quantity, in fact, the quality of Indonesian coffee has been recognized by various parties in various countries. The majority of the Indonesian population likes coffee, especially the people of Lampung, but only with certain types of coffee such as Arabica, Robusta, etc. Therefore, coffee sellers must provide a stock of various types of coffee products. In the supply of coffee products with various types, it can cause difficulties in providing coffee products and effective storage so that the existing products are preserved and the quality of taste is maintained. The provision of coffee products is carried out using estimates without any definite calculations and also the seller has not been able to predict the coffee products that are often in demand by consumers. Based on the problems experienced, we need a method that is able to predict the coffee products that will be sold a lot, so that there is no accumulation of product stock. One method that can help solve this problem is to use the single exponential smoothing method. Single exponential smoothing is one of the existing methods in the forecasting (prediction) system. By looking at the problems and methods that have been determined to solve the problems, this research will build a forecasting application (prediction). This system can help sellers in predicting coffee product sales. So that sellers can find out which coffee products will be selling well and can prepare the amount of coffee availability that customers are interested in.
Research on Forecasting Methods of Agricultural Products Consumption Behavior Based on Unsupervised Learning

Constructing a perfect urban fresh agricultural product supply system is the basic guarantee for the stability of urban life, and it is also the basic condition for supporting urbanization. This paper combines unsupervised learning algorithms to predict and analyze agricultural product consumption behaviors, determines whether to generate new neurons through the cumulative error value of the winning neurons, and gives a network model that can dynamically self-grow. Moreover, this paper constructs an agricultural product consumption behavior prediction model based on unsupervised learning and uses data to verify the performance of the algorithm in this paper. After confirming the performance test of the algorithm, it verifies the prediction effect of this method on the consumption behavior of agricultural products. Through statistical analysis of data, it can be known that the prediction method of agricultural consumption behavior based on unsupervised learning has a certain effect.
MULTI-GPU TRAINING AND PARALLEL CPU COMPUTING FOR THE MACHINE LEARNING EXPERIMENTS USING ARIADNE LIBRARY

Modern machine learning (ML) tasks and neural network (NN) architectures require huge amounts ofGPU computational facilities and demand high CPU parallelization for data preprocessing. At thesame time, the Ariadne library, which aims to solve complex high-energy physics tracking tasks withthe help of deep neural networks, lacks multi-GPU training and efficient parallel data preprocessing onthe CPU.In our work, we present our approach for the Multi-GPU training in the Ariadne library. We willpresent efficient data-caching, parallel CPU data preprocessing, generic ML experiment setup forprototyping, training, and inference deep neural network models. Results in terms of speed-up andperformance for the existing neural network approaches are presented with the help of GOVORUNcomputing resources.