Reviewerly/exHarmony huggingface dataset:
Racial Bias in Emotion Inference: An Experimental Study Using a Word Embedding Method

Author(s): Park, Jae Eun; Lee, Yoon Kyung; Hahn, Sowon | Abstract: We investigated racial bias in emotion inference by having participants describe the emotion of the featured person in the image, including Asian, Black, and White. We collected 4,197 sentences (63,900 tokens) and used the data to train Word2Vec, a neural network-based word embedding model. We calculated the cosine distance between emotion words and words indicating the target for each racial group in order to measure the strength of association. Although all images portrayed neutral emotions, the results show that negative emotion words were close to Asian and Black, whereas neutral words were close to White. This result indicates that stereotypes contribute to the racial bias in Artificial Intelligence as crowdsourcing workers can generate annotations depending on the featured person's race. Based on the present study, we suggest employing various de-biasing methods such as data augmentation or removing bias components in word embeddings before using Artificial Intelligence in the real world.
Predictive role of Personality Traits and Self Control in Mental Health and Academic Achievement among Adolescents Playing Online Games

The present research explores the effect of online gaming on personality traits, self-control, mental health and academic achievement.The population of the study consisted of the adolescents who play online games.A sample of 308 (N=308) adolescents were selected by using purposive sampling technique from different areas of Punjab.Big Five Personality Inventory (John & Srivastava, 1999).Self-control scale (Tangney et al. 2004), and Mental Health Questionnaire (Dubey &Singh, 2016) were used to collect the data in current research.The results of correlation showed that personality traits extraversion, agreeableness conscientiousness, and openness were significantly positively correlated with self-control, mental health, and academic achievement and neuroticism was negatively but significantly related to self-control, mental health, and academic achievement.The results of multiple regression analysis exhibited that personality traits (extraversion, agreeableness, conscientiousness, and openness) and self-control were confirmed to be significant predictors of mental health and Personality traits (extraversion, neuroticism, openness) and self-control were shown to be significant predictors of academic achievement.
Saliency Enhanced Hierarchical Bilinear Pooling for Fine-Grained Classification

Hierarchical bilinear pooling network considers the feature interaction in middle convolutional layers and works well in the classification of fine-grained images.However, it carries out feature interaction on all activated image regions including irrelevant background, which affects the classification performance.To address this problem, a saliency enhanced hierarchical bilinear pooling method is proposed, which combines with the saliency detection network to generate an attention map, and uses the attention map to interact with the feature extraction network to enhance the information of the salient regions.As the result, it can reduce the impact of background and other irrelevant information, and improve the classification performance.The classification accuracy on three commonly used fine-grained image datasets CUB-200-2011, Stanford Cars and FGVC-Aircraft is 86.5%, 92.9% and 90.8%, respectively, which is excellent compared with other mainstream methods.
Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction

Event extraction is a challenging and exciting task in the world of machine learning & natural language processing. The breadth of events of possible interest, the speed at which surrounding socio-political event contexts evolve, and the complexities involved in generating representative annotated data all contribute to this challenge. One particular dimension of difficulty is the intrinsically global nature of events: many downstream use cases for event extraction involve reporting not just in a few major languages but in a much broader context. The languages of interest for even a fixed task may still shift from day to day, e.g. when a disease emerges in an unexpected location. Early approaches to multi-lingual event extraction (e.g. ACE) relied wholly on supervised data provided in each language of interest. Later approaches leveraged the success of machine translation to side-step the issue, simply translating foreign-language content to English and deploying English models on the result (often leaving some significant portion of the original content behind). Most recently, however, the community has begun to shown significant progress applying zero-shot transfer techniques to the problem, developing models using supervised English data but decoding in a foreign language without translation, typically using embedding spaces specifically designed to capture multi-lingual semantic content. In this talk I will discuss multiple dimensions of these promising new approaches and the linguistic representations that underlie them. I will compare them with approaches based on machine translation (as well as with models trained using in-language training data, where available), and discuss their strengths and weaknesses in different contexts, including the amount of English/foreign bitext available and the nature of the target event ontology. I will also discuss possible future directions with an eye to improving the quality of event extraction no matter its source around the globe.
DEVELOPING GABILPANET-BASED NUMBER LINE LEARNING MEDIA TO ENHANCE ELEMENTARY SCHOOL STUDENTS’ UNDERSTANDING OF THE CONCEPT OF INTEGERS COUNTING OPERATION AT GRADE VI

The purpose of this research was to analyze the effectiveness of gabilpanet-based number line learning media to enhance elementary school students’ understanding of the concept of integer counting operations at grade IV in Kabupaten Jepara. This research was a development research using Borg &amp; Gall model. The development steps included: 1) researching the existing products, 2) studying the literature, 3) planning the product development, 4) designing the product, 5) conducting limited trial, 6) conducting main field trial, 7) conducting operational field trial. The subjects of this study were sixth grade students at SDN 4 Tulakan, SDN 2 Bandungharjo, SDN 3 Bandungharjo, and SDN 4 Bandungharjo. Data were collected through observation, questionnaires, tests, and interviews. Then, the validation results were analyzed by accumulating the scores and the statistical test of the effectiveness was carried out with SPSS version 26. Data on the effectiveness of gabilpanet-based number line learning media were analyzed through normality and homogeneity tests at a significance level of 0.05. The finding revealed that gabilpanet-based number line learning media was effective and useful to be utilized in learning activities in order to enhance studetns’ understanding of the concept of integer counting operations. Based on the data obtained, the average score of students’ learning activities was 0.76 with a percentage of 76%. Moreover, the result of students’ learning outcome based on the average score of n-Gain was 0.69 with an average pre-test score of 43.00 and the average post test 82.50.
STUDENTS’ PERCEPTION ON THE USE OF PUZZLE IN TEACHING VOCABULARY MASTERY

This study aims to determine the students’ vocabulary mastery at second- grade students’ of SMPN 1 MAJENE, and to know students' perception on the use of puzzle in teaching vocabulary mastery. Data collection was carried out in December 2020 from 17 students of class VIII SMPN 1 Majene. This research used qualitative research, and the instruments were vocabulary test and interview. This research showed that the mean score of the vocabulary test was78 (Good) which means the students had sufficiently mastered vocabulary and could understand the vocabulary itself. The result of the interview indicated that most of the students gave positive perception on the use of puzzle, they stated that the puzzle was very good because it could increase vocabulary mastery train memory of the students, they also prefer group study because learning becomes more fun and interesting and they can ask each other what they don't know. The use of Puzzles can also increase students’ word writing, and play an active role in learning. In other words, puzzles are very helpful in learning English and make it easier for students to learn English.
Smart Communication Assistant for Deaf and Dumb People

Communication is the medium by which we can share our thoughts or convey the messages with other person. Nowadays we can give commands using voice recognition. But what if one absolutely cannot hear anything and eventually cannot speak. So the Sign Language is the main communicating tool for hearing impaired and mute people, and also to ensure an independent life for them, the automatic interpretation of sign language is an extensive research area. Sign language recognition (SLR) aims to interpret sign languages automatically by an application in order to help the deaf people to communicate with hearing society conveniently. Our aim is to design a system to help the Deaf and Dumb person to communicate with the rest of the world using sign language. With the use of image processing and artificial intelligence, many techniques and algorithms have been developed in this area. Every sign language recognition system is trained for recognizing the signs and converting them into required pattern. The proposed system aim to provide speech to speechless, in this paper we have introduced Sign Language Recognition using CNN for dynamic gestures to achieve faster results with high accuracy.
Emotional adjustment of the teacher during crisis time

In the article are highlighted ideas about the emotional adjustment of the teachers. The crisis, expressed through the individual perception regarding to the emotional balance of the person, creates risks but also opportunities. In this context, emotional intelligence is approached as practical theory of managing the emotions of teachers who are involved in continuing education programs for adult education.
Design and Build a Digital Loyal Customer Card System for an RFID-Based Moshi-Moshi Ramen Restaurant

Loyal customers at a restaurant definitely want a reward for their loyalty to the restaurant, Moshi-Moshi Ramen created the Loyal Customers program as an appreciation for loyal customers. The program is made using a paper card with 10 empty boxes which is stamped by the cashier when the customer pays for food. The current era of globalization allows all areas of life to be assisted by the presence of technology. One of the technologies developed in the culinary field is the design of a digital loyal customer card system based on Radio Frequency Identifier (RFID) which has been linked to the Firebase web database as a medium for storing data. It was found that there were deficiencies in the loyalty program, namely the card that was not safe to hold, especially if the card was lost, the customer could not claim the number of stamps So, to solve this problem, RFID and pin numbers are used as a safer system of loyal customer cards and the database for storing registered customer data to transform the existing loyalty customer program into a smarter system. Making a digital loyal customer card system using an RFID tag can be done using the Arduino Uno R3 microcontroller which has a reading sensitivity of up to a distance of 4.5 cm and an android application for ordering food. As well as all functions that can run well, including comparison of transaction times using manual and digital systems with a time difference of 10 seconds.
IMPROVING STUDENT’S SPEAKING ABILITY BY IMPLEMENTING TWO STAY TWO STRAY METHOD

Students get difficulty in speaking because they are nervous to express their ideas or thoughts directly and experience mispronunciations. The teacher should choose the best method to make the students improve their speaking ability. Therefore, the researchers focused their study on improving students’ speaking ability by implementing Two Stay Two Stray method. Collaborative classroom action research was used as the research design in this research whose purposes were to describe the teacher’s and the students’ activities in the implementation of TSTS method and the supporting and obstructing factors found by the teacher when implementing TSTS method as well as to know whether or not TSTS could improve the student’s speaking ability. The subjects of this research were 15 students at class VII A of MTs Al- Washoya. Meanwhile, the data were taken from the students’ speaking test and the observation. Data analysis showed that the teacher’s and the students’ activities were as what was written in the lesson plan. The supporting factors were the students’ enthusiasm and motivation in joining speaking class and the obstructing factors were that TSTS spent much time and caused the students’ confusion in the first meeting. Then, the students’ speaking ability got significant improvement in cycle two. Thus, it could be concluded that the implementation of TSTS method could improve the students’ speaking ability.
Ukrainian performances of small form operas in the era of the 2000s

The purpose of the work. The article defines the role of the small form operas in the development of Ukrainian music and drama theatre of the 2000s. The research methodology is based on key provisions, concepts of music directing, developed during the twentieth century and their diversification in today's realities. Such general scientific methods as art history, history, analysis and synthesis, and comparative methods were chosen to compare Ukrainian productions of small form operas of the 2000s. The scientific novelty of the work lies in rethinking functioning of small opera forms according to the realities of modern Ukraine and elucidating the factors influencing their modern development and changes. Conclusions. The role of operas of small forms in the repertoire of Ukrainian musical theatres and artistic-theatrical projects is increasing under various conditions such as: socio-cultural and political conflicts of a new millennium, the role of operas of small forms in the repertoire of Ukrai-nian musical theatres and artistic-theatrical projects is increasing. The modern audience is the part of information society, which exists on its own, often developing at an accelerated pace, and it must be taken into account by the directors of musical theatre when deciding on the repertoire for subsequent staging of an opera. The relevance of the drama of the selected works, ideological and artistic qualities, aesthetic and educational aspects of the opera, as well as the assessment of creative and material possibilities for the realization of the idea of the play are essential, crucial elements that should be taken into consideration in order to ensure effective opera staging and production. In the 2000s, art and theatre projects enriched Ukrainian stage by conducting research and experimenting with the scope and subject of performance as well as with their genre and style, thus confirming and updating small opera forms.
Modeling of Alternating Current Motor Performance for Increased Production Using Fuzzy Logic Controller

The low productivity experienced in our industries is as a result of not imbibing intelligence in its production mechanism.We know that induction motors are reliable, robust and with good operating characteristics.A means of starting, regulating and controlling operating parameters are very necessary to improve motor efficiency.This low productivity witnessed in our brewery industry is surmounted by modeling of alternating current (a.c) motor performance for increased production output using fuzzy logic controller.To achieve this it is done in this manner, characterizing and modeling a conventional AC motor so as to establish its operational features while working on variable frequency drive (VFD) control model with known production output, designing a rule base for the use of fuzzy controller for a stable and improved production output of AC motor and designing SIMULINK model for the performance of AC motor under operational condition for an increased output using fuzzy controller for a brewery industry.The results obtained are the highest conventional quantity of bottles of beer produced was 3240 while that of fuzzy controller was 3245 at a stable time of 4 through 10 seconds.With these results obtained, it shows there is an improvement in the production capacity in brewery industry when fuzzy controller is incorporated in the system.
PENGEMBANGAN SISTEM CUSTOMER RELATIONSHIP MANAGEMENT BERBASIS WEB PADA PT. TERUS MEGA TARA JAKARTA

This study aims to develop a web-based CRM (Customer Relationship Management) system at the company PT. Terus Mega Tara authorized agent of AIWA electronic products. To improve service to customers and establish relationships with customers which have been done manually, it is necessary to build a web-based CRM media that can make it easier for customers to obtain the information services needed without the need to spend a lot of time and money visiting the company concerned This web-based CRM system can increase customer loyalty, provide customer satisfaction and increase the company's business opportunities in facing increasingly advanced business competition. With the existence of a web-based Customer Relationship Management (CRM) system at PT. Terus Mega Tara enables companies to improve services to their customers. Keywords: Product-Driven Company, Customer-Driven Company, CRM, Web
Prosody: Models, Methods, and Applications

MotivationProsody is essential in human interaction, enabling people to show interest, establish rapport, efficiently convey nuances of attitude or intent, and so on.This tutorial will overview the computational modeling of prosody, including recent advances and diverse actual and potential applications.We define prosody broadly, as the aspects of spoken utterances that are not governed by segmental contrasts.Some applications that exploit prosodic knowledge have recently shown superhuman performance, and our ability to effectively model prosody is rapidly advancing.Yet prosody remains challenging to work with because it operates close to the limits of conscious introspection, and because most spoken utterances involve multiple prosodic dimensions simultaneously serving multiple communicative functions.Intuitions about prosody are often a weak guide for applied work, but a little bit of basic knowledge can go a long way.
TEACHING ENGLISH IN SECONDARY SCHOOL: APPROACHES, METHODS, AND TECHNIQUES

Teaching English in secondary schools is important to give primary knowledge of English to students. Teachers need to know what the students are needed in learning English so that teachers can apply appropriate techniques in teaching. Yet, since this is the era of industrial revolution 4.0, many teachers are still blurred with beliefs and principles of language teaching so that teachers’ intervention in providing the fruitful materials and the novel techniques are usually scarcely to be found in their instruction. This study is aimed to describe the approaches, methods, and techniques applied by teachers of secondary schools in Tanjung, Tabalong when teaching English in class. This study employed qualitative case study methodology which produces descriptive data. There were 30 teachers as the participants in this research. The data were collected by using interview and a questionnaire. The result of the research shows that even some of the teachers are using materials outside of the textbook, methods and techniques of teaching English in secondary schools still do not based on demanded approaches so that the face of English teaching has the struggling to find its look in pursuing the goal of communicative competence.
IMPLEMENTASI CUSTOMER RELATIONSHIP MANAGEMENT(CRM) PADA TOKO ROTI GANDA BERBASIS WEB

Competition in the business world in the era of globalization is now getting stronger. For that, a business requires a system that works efficiently and effectively. The Ganda Bakery is one of Pematang Siantar's special culinary delights which is well known among the people in the city and outside the city. Double Bakery is a legendary bakery that has existed since 1979 which is very crowded and in demand by people in the city and outside the city. Due to the large number of customers who come to the Double Bread Shop, so many new bakeries are trying to provide types of bread that resemble the menu in the Ganda Roti Shop, so that many new bakery businesses are opening to compete for customers at the Ganda Roti Shop. Therefore, by looking at the conditions and problems at the Ganda Bakery, it is necessary to have a media in the form of an online-based system to integrate ordering, marketing, and customer service that can manage the relationship between the company and its customers by creating applications with the CRM concept. In this study using the User-Centered Design (UCD) method is a new paradigm in the development of web-based systems. The purpose of using this UCD method is to overcome the problem of the user's inability to use the system, and it is hoped that the user will be able to know the function of the system only in one use. The UCD method involves potential users in the early stages of development so that potential users can provide input regarding the e-commerce system interface. The final result in building e-commerce is expected to produce maximum appearance and functionality and have usability values. So that UCD is very suitable to be used in developing and building systems effectively and efficiently at the Double Bakery.
Survei Penggunaan Uji Statistik dalam Penelitian Tugas Akhir Mahasiswa dengan Topik Ergonomi di Prodi Teknik Industri Unika Atma Jaya Jakarta

This study presented a survey results of the statistical tools used by undergraduate university students in Department of Industrial Engineering,Faculty of Engineering, Atma Jaya Catholic University of Indonesia. A number of 26 reports of students’ final project from 2018-2020 was identified and studied. A checksheet form was developed to record the 14 statistical tools used by students consists of descriptive statistics (2 items), inference statistics (10 items), multivariate (1 item) and statistical package used (1 item). The data were analyzed for its frequency and percentage. Results showed that all reports used descriptive statistics to present participant’s demography of their research, as well as the summary of statistics. For inference statistics, the students used a variety of normality test, 2 t-test, anova, equal variance, proportion test, a few nonparametric tests, regression and correlation and multivariate statistics. For statistical package, most students used Minitab (46,2%), followed by SPSS (34,4%) and other such as AMOS, Listrel, PLS(15.4%). Among them, 11.5% used more than one software. In addition, the results of this study could be used to evaluate the contents of the relevant course.
A Study on Evaluation of the Integration of Chinese and Foreign Cultures into Oxford Junior High School English Textbooks on the Basis of Multicultural Education

This paper studies the learner evaluation results of Chinese and foreign cultural materials in Oxford Junior High School English Textbook of Yilin Edition (2nd semester of Book 8) with a questionnaire. It finds that the content of Chinese and foreign culture in this edition is rich and diverse, which can cultivate students&amp;rsquo; cross-cultural identity and communication ability. However, some typical problems exist, such as uneven distribution of Chinese and foreign cultures, lack of cultural diversity awareness, lack of interdisciplinary nature, falling to stimulate students&amp;rsquo; learning enthusiasm.