Reviewerly/exHarmony huggingface dataset:
Empowering Youth’s Talks: A Classroom Reflection on the Utilizing Online Resources

Classes have been built to handle so-called digital resources in order to meet the demands of the twenty-first century.Using real-world tools, apps, and resources that are available online is inevitable for learning since today's generation has grown up with new networking devices such as a smartphone, smart device, and internet access.According to Prensky [1], this is a "digital native generation", which means that today's children were born into the e-environment and have access to worldwide information resources.Multimedia technology has transformed the face of second language pedagogy and added useful learning experience in the field of TESOL [2].The use of multimedia resources has expanded learner engagement and optimized the teaching process [3].The study's goals are intended to refer to the following areas: first, to analyze what kinds of online resources students use as tools to help with their presentation materials.Second, to explain how online resources can help students prepare and execute presentations for their Academic Speaking class.Following the conclusion of this report, the results are planned to be used as one of the supplemental materials for teaching and researching the Academic Speaking Course in the English Study Program.
How (Not) to Ruin Perfectly Good Research in 18 Steps

Now we will dive head first into the key areas of potential bias – systematic distortion – in user research with children. I present them in the order that they would occur chronologically in a given project as a chain and then group them into 18 steps. To be a master researcher one must understand and accept these biases and the failures they introduce in research with children.
Jarvis: Desktop Assistant

“Jarvis” was main character of Tony’s Stark’s life assistant in Movies Iron Man. Unlike original comic in which Jarvis was Stark’s human butler, the movie version of Jarvis is an intelligent computer that converses with stark, monitors his household and help to build and program his superhero suit. In this Project Jarvis is Digital Life Assistant which uses mainly human communication means such Twitter, instant message and voice to create two way connections between human and his apartment, controlling lights and appliances, assist in cooking, notify him of breaking news, Facebook’s Notifications and many more. In our project we mainly use voice as communication means so the Jarvis is basically the Speech recognition application. The concept of speech technology really encompasses two technologies: Synthesizer and recognizer. A speech synthesizer takes as input and produces an audio stream as output. A speech recognizer on the other hand does opposite. It takes an audio stream as input and thus turns it into text transcription. The voice is a signal of infinite information. A direct analysisand synthesizing the complex voice signal is due to too much information contained in the signal. Therefore the digital signal processes such as Feature Extraction and Feature Matching are introduced to represent the voice signal. In this project we directly use speech engine which use Feature extraction technique as Mel scaled frequency cepstral. The mel- scaled frequency cepstral coefficients (MFCCs) derived from Fourier transform and filter bank analysis are perhaps the most widely used front- ends in state-of-the-art speech recognition systems. Our aim to create more and more functionalities which can help human to assist in their daily life and also reduces their efforts. In our test we check all this functionality is working properly. We test this on 2 speakers(1 Female and 1 Male) for accuracy purpose.
Can Bots Help Create Knowledge? The Effects of Bot Intervention in Online Knowledge Collaboration

Many open collaboration platforms (e.g., Wikipedia) have recently utilized automated algorithmic agents, called Bots, to solve the issue of stagnating user participation. However, understanding of how such a bot agent affects user activities in open collaboration is limited. In this study, we examine (i) whether bot intervention affects user participation and (ii) whether the impact of bot intervention could vary by characteristics of open collaboration works. We pursue our research goals by utilizing a rich dataset between 2005 and 2017 from an online open collaboration platform. The platform has recently utilized two types of unique bots that interact with human users in open collaboration. By employing difference-in-differences approach, we show that bot intervention in open collaboration leads to unintended consequences as it significantly demotivates user participation. We further show that the negative effect of bot intervention is alleviated if more active users are engaged or if covered topics have a higher concentration in a collaboration work. This provides directions for businesses to resolve the unintended demotivation problem in utilizing bot agents.
Impact of Market Orientation Components on Organizational Performance of SMEs. The single-industry approach " Food and Beverage Sector"

This study examines the direct effect of the three main components of the market orientation on the organizational performance of SMEs in Yemen. Four variables are used in the research, are competitor orientation, customer orientation, and inter-functional coordination, as the exogenous latent variables, whereas organizational performance, as the endogenous latent variable. The quantitative approach is applied in this study with causal and descriptive research. The single-sector method is adopted, is the food and beverage sector, by using random sample sampling, the sample size was 640 managers/owners. only 459 samples were valid to conduct the analysis by using the Structural Equation Model (SEM) in SmartPLS Software version 3.0. The findings of the study reveal that the three main components of the market orientation have a positive and significant impact on SMEs' organizational performance. However, the effect size of customer orientation on organizational performance was more than competitor orientation and inter-functional coordination.
PERUBAHAN FONEM PADA ANAK USIA 2-4 TAHUN DI PAUD ANNA HUSADA JL. BRANTAS NO. 1A PERUM. CANDRA LAND MLAJAH BANGKALAN (KAJIAN FONOLOGIS)

This study discusses phoneme changes in children aged 2-4 years at Anna Husada Jl. Brantas No.1A Perum Candra Land Mlajah Bangkalan. The background of the sound of language spoken by the child, namely the child when communicating often changes and obsolescence of phonemes in his speech. Several factors cause phenomenal changes in children's speech, namely lack of mastery of vocabulary, stages of language improvement, second language learning (B2), and parenting patterns. This is what causes phenomenal changes when children dialogue or speak. The method used in the collection of data in the form refer to the method of reading involved in conversational skills, record techniques and note-taking techniques. The data that has been collected is then analyzed using qualitative descriptive methods. The results of the analysis that have been found in that are, children are not always the same in the phoneme changes made, it happens because it adapts to the development, as well as the child's ability to speak. It is very important to use Indonesian properly and correctly when speaking so that children are not accustomed to making changes when speaking and there is no misinterpretation and do not become displaced Indonesian language that is good and correct in speech.
Foreign language Internet environment and its impact on cultural self-determination of students

The relevance of the problem.In modern language education, Internet resources are intensively used, which together create a cultural and linguistic Internet environment.This environment can be defined as a virtual space in which the perception of information and the exchange of it is realized.It seems relevant to consider the issues of the influence of the Internet environment used in the process of learning foreign languages on the formation of a student's personality, and, in particular, his national and cultural self-determination.Purpose of the article.The empirical research was carried out in the process of teaching German as a second foreign language to international students of the 4th year of MGIMO.Its purpose was to consider the problem of the influence of the Internet environment on the cultural self-determination of students. Methodology.When conducting an empirical study of the influence of the Internet environment on self-determination of students, the author used methods of analysis of scientific and theoretical sources, analysis and systematization of empirical experience.Results.The study identified the advantages and controversial aspects of using the Internet environment.In order to neutralize the influence of the environment, the following recommendations were formulated: the use of pluralism of the information space, the development of critical thinking skills, the need to teach students the basics of culturalcritical analysis of the source.
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task

In this work, we study the problem of inferring a discrete probability distribution using both expert knowledge and empirical data. This is an important issue for many applications where the scarcity of data prevents a purely empirical approach. In this context, it is common to rely first on an a priori from initial domain knowledge before proceeding to an online data acquisition. We are particularly interested in the intermediate regime, where we do not have enough data to do without the initial a priori of the experts, but enough to correct it if necessary. We formalize expert knowledge as a set of priors, e.g. on the marginals or on the support of distribution. The expert distribution is defined as the distribution of the maximum entropy that satisfies the constraints set by the experts. In turn, empirical data is used to construct the empirical distribution. We present a new method for objectively choosing the weight to be given to the experts in relation to the data. We define our estimator as the projection of the experts on the confidence interval centered on the empirical distribution. This is the closest distribution from the experts which is consistent with the observed data. The confidence level is the unique parameter of this method. We show, both empirically and theoretically, that our proposed estimator is always more efficient than the best of the two models (expert or data alone) within a constant. Our estimator allows a bad a priori to be abandoned relatively quickly when the inconsistency of the data collected with the initial a priori is observed. At the same time, this same mixture makes it possible to keep the initial a priori if it is good. We prove empirically that our method outperforms a parametric Bayesian approach in such a task.
A study of organizational commitment: A mediator of the relationship between job satisfaction and job performance in the commercial banks in Sri Lanka

The purpose of this study was to investigate the relationship among job satisfaction, organizational commitment and job performance of non-managerial employees in the commercial banks in Sri Lanka. The sample consisted of 400 non-managerial employees randomly selected from Systemically Important Banks. A questionnaire was administered among the non-managerial employees as the measuring instrument. The collected data were analyzed using correlation coefficient and simple regression. The results of the study indicated that there was a positive relationship between job satisfaction and job performance, job satisfaction and organizational commitment, organizational commitment and job performance. Organizational commitment was found to mediate the relationship between job satisfaction and job performance of non-managerial employees in the commercial banks in Sri Lanka.
MODEL COOPERATIVE SCRIPT PADA PEMBELAJARAN BAHASA INGGRIS ASPEK BERBICARA: SEBUAH HIPOTESIS

This article aims to hypothetically reveal the cooperative script model. The cooperative script model is believed to solve passive learning problems particularly in speaking. The model aims to develop social skills, teaching students to be cooperative and collaborative. In its application, students were encouraged to bravely collaborating in pairs on expressing new ideas or material being studied, as well as providing opportunities for them to bring out new creativities so they are motivated to work harder on achieving learning goals. In addition, when cooperative relationships occured, the students could appreciate their friends’ ideas, not the other way around. This study uses library research method by concocting hypotheses related to cooperative script model applied in Speaking. The English teacher can also obtain knowledge and description for appllying the model. It is also expected that the teachers are able to develop cooperative script model in other English language skills, so that students can communicate for expressing their daily needs. Keywords: Application; Cooperative Script Model; English Subject; Speaking
Review of AI Techniques and Cognitive Computing Framework for Intelligent Decision Support

The need to replicate human intelligence into machines and the advancement in artificial intelligence techniques have helped to solve many complex real-world problems. Autonomous systems with machine cognition are continually evolving with the capability to learn and adapt by leveraging the large volume of data and computational power. The cognitive computing system applies knowledge and wisdom accrued from learning and intelligently taking human-like decisions. In this paper, we review the articles related to AI techniques and cognitive computing framework that takes the benefits of next-gen technologies for effective intelligent decision support. Moreover, the paper discusses various machine learning and deep learning techniques and algorithms that can be integrated and employed for intelligent decision making.
Novel Scheme for Movie Recommendation System Using User Similarity and Opinion Mining: A Recent Study

The rise of users in a mobile environment has made movie recommender systems an important research issue. This system helps to recommend top-k movies for target user. To help consumers locate the best movies in a more convenient way, a complete aggregate of user preferences, sentiments (emotions), and reviews is necessary to recommend movies. However, we must consider timeliness and accuracy when dealing with the recommendation system. A different recommendation schemes have been presented includes collaborative filtering, content-based recommender system, and hybrid recommender system. We introduce a movie recommendation system based on a new user similarity metric and opinion mining in this work. The basic goal of this work is to determine the types of movie opinions (positive, negative, or neutral) and to provide users with a top-k suggestion list. We extract aspect-based specific ratings from reviews and also recommend reviews to users depends on user similarity and their rating patterns. Finally, the suggested movie recommendation system was validated using multiple evaluation criteria, and the proposed system outperformed conventional systems.
IT Students Project Group Work in the Day of COVID-19: Understanding the Impact and Attitudes

COVID-19 pandemic has resulted in disruptive impacts on teaching and learning experience around the world. In a particular context of project-based courses, where students need to interact and collaborate frequently, there appears additional challenges in implementing and learning from projects. Understanding the impact of COVID-19 on project-based courses does not only provide recommendations for preparing such courses in post-pandemic eras, but also has some implications for physical IT projects in industry. We investigated 30 student teams in Spring semester 2020, when COVID-19 measures were applied in the middle of the course. We adopted a mixed-method approach; a bottom-up analysis with a thematic analysis, and a top-down approach with attribution theory. We found that COVID19 measures introduced as external attributions to the course had direct and sudden impact manifestations on individual level, which leads to internal attributions, such as lack of motivation, lack of commitment, realization of usefulness of some online tools, and mental struggle. This creates an indirect impact on team, process and product factors in the course.
THEORETICAL FOUNDATIONS OF EDUCATIONAL INTEGRATION

Article on the scientific and theoretical foundations of integration in the education system in the context of modern globalization. Definitions of the concepts "Integration"," goal of integration"," principles of integration" were given, and the main idea of implementing integration training was formulated. The psychological and pedagogical significance of the integration of the educational process today is determined. Theoretically analyzed the goals, principles, directions, content, integrity of integration in the process of training and education. Educational, developmental, cognitive, and educational values of the integration process at all stages of the education system are defined. The prerequisites for the necessity and possibility of organizing integrated education in preschool and primary education were demonstrated. In the organization of subject integration training, the results and ways to improve the quality of knowledge of students ' cognitive interests are determined. The integration of education expands the possibilities of the pedagogical process, opens up the possibility of using innovative learning technologies. Through subject integration, the content and areas of education form the structure of the relationship of system and consistency.
On the role of professional competence in the formation of professional responsibility

The article is devoted to the role of professional responsibility in the formation of professional responsibility. In addition, the article discusses scientific psychological approaches to such issues as the psychological qualities of successful students, professional competencies that contribute to the achievement of results in pedagogical activity, psychological characteristics of self-development of students, psychological conditions that ensure the formation of professional education. competence.
Deploying Applications to Azure

Microsoft Azure is Microsoft’s premiere cloud solution that offers many services, from hosting web applications and SQL databases to remote virtual machines, artificial intelligence services, and many more.
Countering Public Misinformation

This chapter examines how we should counteract the dangers posed by misinformation (such as fake news and conspiracy theories) in public discourse. Legal norms suppressing misinformation are an even less promising response here than with hate speech. Yet speech-based responses also face grave difficulties: the damage wrought by misinformation is often ‘sticky’, or difficult to reverse. The chapter offers two recommendations for counterspeech that targets misinformation. The first draws on the negative/positive distinction introduced in Chapter 3: unlike negative counterspeech, positive counterspeech can rebut misinformation without triggering the properties that render it sticky. This insight casts doubt on the popular practice of online fact-checking. Second, the chapter recommends adopting a diachronic conception of counterspeech: verbally responding to misinformation should be a continuous process, which pre-empts as well as follows misinformation. Only if it takes this diachronic form can counterspeech keep the most resilient types of misinformation, like conspiracy theories, from taking root.
Kernel Linkage Support Vector Regression For Stock Market Index Prediction And Analysis

The Study Proposes A Novel Method For Stock Market Index Prediction And Analysis Based On Kernel Linkage Support Vector Regression (Klsvr). The Method Pre-Processes The Data To Transform It Into Information With Which The Decision System Can Work. A Regression Model Was Built For The Nasdaq Dataset Using Support Vector Machines (Svm) On The Training Data And Testing The Model For Goodness Of Fit. The Regression Types Selected For Running The R Code Was Svm Eps-Regression, Svm Nu-Regression, Bound Constraint Svm Eps-Regression. The Training And Testing Were Done With 70-30 Combination.  The Experimental Result Validates The Model Proposed Using Minimum Error Analysis Performance Measures.
The Effect of Learning Methods and Reading Interest toward Ability in Reading Comprehension

The purpose of this study to determine effect of learning methods and reading interest toward ability in reading comprehension. This study is experimental studies of students in class V state elementary school cluster I sub district of Barru, Regency of Barru, South Sulawesi, with the number of respondents 40 students. The methods researched is experimental methods with treatment by level design. The technique of data collection is test instrument and questioner. The technique used to analyze the data is the analysis of variance (ANOVA). Research finding indicate there are interaction effect learning methods and reading interest toward ability in reading comprehension. Probability value of significance of the interaction effect of learning methods and reading interest toward ability in reading comprehension is 0,00 4,11 of table value.  The result of this study can conclude there are effect of learning methods and reading interest toward ability in reading comprehension.
Bystander intervention and technology-facilitated sexual violence: A qualitative analysis of college students on Facebook

Second place winner of a poster presentation for Social Sciences at the 20th Annual Undergraduate Research and Creative Activity Forum (URCAF) held virtually, Wichita State University, April 9, 2021.
COVID-19로 인한 온라인학습환경에서 간호대학생의 성장마인드셋, 그릿 및 자기주도학습능력

The purpose of this study was to identify the relationship between growth mindset, grit and self-directed learning ability of nursing students and investigate the factors influencing self-directed learning ability in online education. Data were collected through online surveys; subjects were consisted of 194 nursing students from J University in province C. Data were analyzed based on frequency, percentile, mean, Pearson’s correlations, and multiple regressions. Self-directed learning ability, mindset, and grit in nursing students showed significant positive correlations with each other. Grit had the strongest influence on nursing students’ self-directed learning abilities, followed by satisfaction for major studies, standard of living, interpersonal relations, and growth mindset; these factors accounted for 38.1% of the total variance in self-directed learning abilities among nursing students(Adj. R2=.381, p<.001). Overall self-directed learning ability can be improved by grit, growth mindset enhancement program.
Trademark Image Retrieval using Color and Shape Features and Similarity Measurement

Worldwide, the number of trademarks is growing exponentially, but it is still a difficult challenge to evaluate perceptual similarity and determine an acceptable measure of similarity for trademarks. To secure the legal rights of a registered trademark, a reliable and an efficient system for the retrieval of trademark images is necessary. We suggest a new method to retrieve trademark images by integrating color and shape features and for similarity measure we use Euclidian distance. Color feature gives the trademark which is similar in color space for a given query trademark and shape feature gives the trademark which is a transformed form of query trademark. Proposed method is tested on 500 trademark images which are downloaded from internet. Our results show that the combination of features gives the effective and efficient results with high precision rate.