Reviewerly/exHarmony huggingface dataset:
Relationship Between Development And Assessment Of Students' Competences

Modern approaches to teaching and assessing learning outcomes in the context of competence-based education encourage students to acquire maximum knowledge, skills and abilities.They are based on the idea of organizing the educational process geared to train students towards mastering a set of competences that develop a future specialist in demand on the labor market.The paper discusses the relationship between learning and assessment procedures based on the transparency of assessment criteria and clearly defined expectations.It reports a number of teaching and assessment methods for some basic biomedical and clinical disciplines within specialist program implemented at the Medical Institute of Chechen State University.The methods boost academic performance of university students, encouraging them to participate in active mental and practical activities.Based on the analysis of current regulations in the field of higher education, teaching and learning materials designed to improve educational efficiency were correlated.Assessment procedures based on innovative methods should ultimately be aimed at meeting the requirements of federal state educational standards, focused on learning outcomes conceived as competences shaped rather than on teaching practices.After all, new educational standards are based on fundamentally new approaches that imply moving away from a qualification image to a competence image of the graduate.The authors emphasize the need to transform the main functions of higher education from mastering the material into new achievements in education inspired by the practical experience at the Medical Institute of Chechen State University.
Design and Build Vespa Motorcycle Queue Service System with Android-Based Multi-Channel Single Phase Method: Design and Build Vespa Motorcycle Queue Service System with Android-Based Multi-Channel Single Phase Method

The queue of the most unpleasant activities for almost everyone in the world, a queue which means waiting for their turn to get service from a facility, such as Vespa motorcycle users who want to get service to repair their vehicles in the garage easily and quickly. Repairs are carried out ranging from minor maintenance to heavy maintenance such as dismounting the engine. The irregularity of existing service queues at Vespa motorcycle workshops makes consumers feel uncomfortable and disadvantaged. Therefore it requires an easy and regular Vespa motorcycle queue service. For this we need a system that can manage the queue service process for users. The method used to regulate services is Multi Channel Single Phase, namely there are two or more service system entry lanes and there is only one service facility in each lane. This method was chosen because it is able to set the queue, speed up the work process and shorten the waiting time for customer service.
Enhancing a Sustainable Knowledge Based Economy through the Youth of Rwanda

The government of Rwanda has a vision to transform the nation to a middle income country by the year 2020 but now it has changed to vision 2050, through NST1 replaced EDPRS 2,Within priority areas, To establish Rwanda as globally competitive knowledge based economy as it is 3rdpriority area in NST1. It is hoped that through youth, sustainable economic growth and development will be realized in the long-run, as a higher stock of skilled human capital will trigger more productivity in the economy hence positively impacting the national income of Rwanda. Entrepreneurship and technology has been identified as one of the most important strategies for enhancing job creation thus creating sustainable economic growth and development especially for the youth and the graduating students from different universities/institutions. The main objective of this research is to assess the role of youth in establishing Rwanda as global competitive knowledge based economy.The study considered mainly secondary data and both qualitative and quantitative information from youth aged between 16-30 years old. Data used was collected by National institute of statistic of Rwanda (NISR). Data were analyzed using SPSS, and both statistical and non-statistical methods of analysis were employed. Findings showed that Youth populationis playing a big role in driving our country to knowledge based economy. This hypothesis was proved by the following indicators: Literacy rate ,Computer literacy rate(Digital Literacy), ICT and Technology skills, Usage of internet services facilities, attending institution of higher learning.
Review: evaluation of static and animated visualization in meteorology

Data from environmental studies are measured, stored and analyzed to find out the impact of climate change. Visualizing an environment data is quite a challenging process. Predicting future variations of specific variables such as wind speed, precipitation and temperature involve complex processes of numerical analysis and interpretations. The goal of this paper is to study both type of visualization - static and animated visualization to discover the application and advancement in meteorology. Focusing on two types of meteorology - temperature and wind speed, few examples are emphasized to show meteorology application in both type. Common type of heatmap and graph are used in static visualization. In order to combine multidimensional from static visual together and simplify it into one visual, animated visualization able to play the role. Furthermore, this paper also reports on the element used in the visualization and how it enhances the image in order to deliver information to the readers.
Correlation Between Students Reading Habit and Their Reading Comprehension Skill at Health Sciences

Reading is a complex process of decoding symbols to construct or derive meaning. Reading is a good activity to increase knowledge and experiences. People can get much information, idea, and also opinion by reading. The method used in this research is quantitative correlational study. The data of 80 students were collected through a simple random sampling technique. Questionnaires and tests were used as the instruments of this research. The researcher took the online data by Google form. Reading habit questionnaires were given first to the students. This test aims to know the students reading habit score. Second, reading comprehension tests was conducted to measure students reading comprehension skill. Based on the results obtained the average level of the reading habits and reading comprehension of students is high, with an average score of 97.86 for reading habit and 71.90 for reading comprehension. Then the researchers analyzed the correlation using Pearsons Product Moment Formula to correlate both reading habit (Variable X) and reading comprehension (Variable Y). The result showed that the r-value is 0.924 and the r-table is 0.220. It means that the r-value is higher than the r-table and Ha is accepted and Ho is rejected. It can be concluded that there was a strong and very high correlation between students reading habit and their reading comprehension skills at Health Sciences Faculty, Kadiri University.
The Effect of Emotional Leadership of Intermediate Managers on Organizational Trust and Job Performance in the Hotel Companies

The content of this study is to confirm the factors necessary for hotel companies" survival strategies even in difficult situations such as COVID-19. Through the analysis results of this study, we sought to derive alternatives and implications for the leadership of middle managers in hotel companies to enhance the organizational trust and job performance of their members. Sample data for statistical analysis were used in a total of 377 surveys of employees working at hotels. The collected data were performed for frequency analysis, exploratory factor analysis, reliability analysis and feasibility test, and multiple regression analysis. The analysis results are as follows. First, emotional leadership has been shown to significantly effect on job performance, except for self-managing capabilities. Emotional leadership has been shown to have a partial positive impact on job performance. Second, emotional leadership has been shown to have a positive influence on organizational trust. Third, organizational trust has been found to have a positive impact on job performance. Through this analysis result have once again recognized the importance of emotional leadership of managers in hotel, even in difficult conditions such as COVID-19.
‘Just put it online’: the Taylor White project as a digitization case study

Creating access to digital surrogates of primary source materials has spurred the growth of history of science as a field. Enabling and supporting virtual access requires an understanding of the behind-the-scenes requirements of a digitization project. Using McGill's Taylor White Project as a case study, this article reveals how such a project is managed, to result in a unique digital collection that supports research in both the humanities and the sciences. The workflows described transformed a collection of 938 eighteenth-century natural history drawings from a relatively inaccessible archive to a searchable and browsable digital collection, complete with contextualizing interactive visualizations. Understanding this process reveals some of the ways in which digitized data can create new avenues for questioning and examining information.
THE ORGANIZATION OF STUDENTS’ JOURNALS

All language skills, including writing requires practices. One of the writing practices is writing journals. Of the challenging practices is organizing ideas. Although the students are good at grammar, vocabulary, mechanics, and idea development, they can be in difficulties in organizing their ideas. The purpose of this study is to describe the organization including coherence and unity of journal writing. The data sources of this study are 76 journals written by the third semester students of an English Department in Surabaya. The data were collected from Schoology since the students submitted all the journals in Schoology. The findings showed that most of the journals written by the students were organized completely consisting of orientation, sequence of events and re-orientation chronologically. The findings also showed that the students tended to use grammatical cohesion rather than lexical cohesion to achieve coherence. Lastly, the journals written by the students were mostly unified in which each paragraph has a main idea supporting ideas.
Sentiment Analysis of Facebook Comments Using Various Machine Learning Techniques

The measure of information that is created has risen consistently and an ever increasing number of sorts of data are being put away in unstructured or semi-organized configurations. Slant Analysis is the way toward extricating emotional data from online inputs. Assumption examination empowers PCs to mechanize the exercises performed by human by settling on choices dependent on suppositions of the remarks or post in online media locales. In this paper we have evaluated the sentiments of facebook comments using five different machine learning techniques, Naive Bayes, SVM, Random Forest, KNN and Decision tree. Evaluated these five classifiers using different performance measures like Precision, Recall and F1-score. Beneficiaries of this paper are researchers, teachers, and students who have keen interest in the topic
Online Examination System [OLES]

online examination is conducting a test online to measure the knowledge of the participants on a given topic.In the olden days, everybody had together in a classroom at the same time to take an exam.With online examination students can do the exam online, in their own time, with their own device, regardless of where they live.You only need a browser and an internet connection..
SQuAT-Vis: Visualization and Interaction in Software Architecture Optimization.

Optimization of software architectures is a complex task that can not be fully automated. For this reason, software architecture optimization approaches often require human architects to participate in the optimization process, e.g., by selecting architectural candidates. Nevertheless, most of these approaches fail to support architects in solving their tasks as they provide no or insufficient visualization and interaction techniques. Thus, architects usually have to invest time and effort to find a (not ideal) solution themselves.
Perancangan Bahan Ajar Digital Akuntansi Keuangan di SMK Swasta di Kota Batam Pada Pandemi COVID-19

Since the outbreak of the pandemic caused by the COVID-19 virus in Indonesia, many aspects have been affected, one of which is in the field of education. With the virus, the government is setting up distance learning activities or online. This problem causes a lack of digital teaching materials owned by the school. So researchers designed digital financial accounting teaching materials at private vocational schools in Batam City during the covid-19 pandemic. The digital teaching materials that the researchers made were financial accounting modules and power point. With the hope that the resulting teaching materials are able to assist teachers in carrying out the teaching and learning process, and make it easier for students to understand the material presented. Digital teaching materials will be implemented by the school and evaluation of the assessment of teaching materials will receive positive feedback so that they are suitable for use.
A Qualitative Analysis of Recommender System and its Applications

To predict the interest of users in products, information, and services among the huge quantity of available items, the Recommender System (RS) applies predict algorithms & data mining techniques. Recommender Systems show significant growth in terms of public awareness. It uses different types of user preferences and user requirements data to make a recommendation, hence the concept is very diverse. The enormous growth of information on the internet, the increasing number of visitors to the websites add challenges to Recommender Systems. Therefore, an accurate Recommender System is needed that can produce high-quality recommendations. This paper provides a comprehensive overview and understanding of different scenarios that arise in the field of recommender system.
Cognitive Mechanisms As Operands Of Positive Transfer-Interference Teaching Techniques

The issue of interlingual influence in teaching a second foreign language from the standpoint of methodology, psycholinguistics and neuropsychology determining the polar opposite psycholinguistic phenomena of positive transfer and interference, is considered in the article.Features of the speechthinking activity of trilinguals are analyzed in comparison with monolinguals.Taking into consideration the above mentioned positions, the authors come to the conclusion about the participation of other cognitive structures in mastering a second foreign language, rather than the first one: cingulate gyrus and hippocampus (limbic system), caudate nucleus and dorsolateral prefrontal cortex, which activation is not recorded when speaking one language.As a consequence, the optimizing potential of positive transfer and interference was determined as a possible controlled mechanism for using the potential of knowledge and skills from previously acquired languages (native language and first foreign language).Due to the increased interest and, accordingly, the attitude to mastering two foreign languages, the authors identified the problem of finding effective solution ways.Thus, the authors converted the psycholinguistic phenomenon of interlingual transfer (positive transfer, interference) into the most productive methodological technique through the conscious control of the operands of the trilinguals' speechthinking activity in the process of teaching them a second foreign language.The authors developed a typology of tasks as a result of analyzing the features of the speech-thinking activity of trilinguals at moments of positive transference and, conversely, under the influence of an interfering effect.
DIFFERENCES IN THE LEVEL OF ONLINE GAME ADDICTION IN SCIENCE AND IPS HIGH SCHOOL STUDENTS IN THE SOUTH COASTAL AREA OF MUKOMUKO

The World Health Organization will determine addiction to playing games as a mental disorder. The purpose of this study was to fine the results of differences in the level of online game addiction among high school student majoring in science and social sciences. The research method was used quantitative-comparative methods with the t test. The results showed that there were differences in the level of addiction among student majoring in science and social sciences with indicators, namely; salience and tolerance can be seen at the sig (2-tailed) valued of 0,005 l 0,05 and 0,007 l 0,05, then based on the results of the second t test showed that there was no difference in the level of online game addiction among students majoring in science and social sciences, indicators namely; mood modification, relapse, withdrawal, conflict and problem were seen at sig (2-taield) valued of 0,425 g 0,05, 0,744 g 0,05, 0,857 g 0,05, 0,106 g 0,05 and 0,368 g 0,05. This study can be concluded that the difference in the level of online game addiction in students can be intervened gradually and consistently, so that it can influence students' attitudes and behaviour significantly and is right on target.
Psychological Analysis of the Formation of a Person's Creative Ability

The article presents views on the results of research and ideas on creative thinking, the psychological and pedagogical characteristics of creative thinking ability, as well as the psychological analysis of creative ability.
Object-Attribute Approach for Semantic Analysis of Natural Language

he article describes the methodology of semantic analysis of natural language (NL) and semantic search in it, which includes: the general stages of analysis of NL, the format of the semantic network for presenting the meaning of the text, words polysemy analysis, semantic and syntactic agreement of words, etc. The method is based on the object-attribute principle of organization of calculations and data structures, belonging to the dataflow class.
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones

Deep learning has been widely applied in many computer vision applications, with remarkable success. However, running deep learning models on mobile devices is generally challenging due to the limitation of computing resources. A popular alternative is to use cloud services to run deep learning models to process raw data. This, however, imposes privacy risks. Some prior arts proposed sending the features extracted from raw data (e.g., images) to the cloud. Unfortunately, these extracted features can still be exploited by attackers to recover raw images and to infer embedded private attributes (e.g., age, gender, etc.). In this paper, we propose an adversarial training framework, DeepObfuscator, which prevents the usage of the features for reconstruction of the raw images and inference of private attributes. This is done while retaining useful information for the intended cloud service (i.e., image classification). DeepObfuscator includes a learnable encoder, namely, obfuscator that is designed to hide privacy-related sensitive information from the features by performing our proposed adversarial training algorithm. The proposed algorithm is designed by simulating the game between an attacker who makes efforts to reconstruct raw image and infer private attributes from the extracted features and a defender who aims to protect user privacy. By deploying the trained obfuscator on the smartphone, features can be locally extracted and then sent to the cloud. Our experiments on CelebA and LFW datasets show that the quality of the reconstructed images from the obfuscated features of the raw image is dramatically decreased from 0.9458 to 0.3175 in terms of multi-scale structural similarity (MS-SSIM). The person in the reconstructed image, hence, becomes hardly to be re-identified. The classification accuracy of the inferred private attributes that can be achieved by the attacker is significantly reduced to a random-guessing level, e.g., the accuracy of gender is reduced from 97.36% to 58.85%. As a comparison, the accuracy of the intended classification tasks performed via the cloud service is only reduced by 2%. We also demonstrate the efficiency of DeepObfuscator, showcasing real-time performance of the deployed models on smartphones.
Policing in the 21st Century

On November 26, 2020, Dwayne McDonald, Assistant Commissioner for the RCMP, presented Policing in the 21st Century at the 2020 CASIS Vancouver West Coast Security Conference. The presentation was followed by a group panel for a question and answer period. Main discussion topics included technology and policing, big data, and the challenges that social media poses for law enforcement.
iPads, Free Data and Young Peoples’ Rights: Refractions from a Universal Access Model During the Pandemic

The United Nations deemed internet access to be of critical importance for human rights in 2016. In 2020, schools around the world closed during the COVID-19 pandemic. As schools were closed, inequities in internet access gained widespread public attention as many educational opportunities shifted online. Amidst this shift, this paper analyzes an Ontario provincial announcement to provide 21,000 iPads and free data for young people (ages 4-18), during the pandemic. The closure of schools in Ontario, Canada, meant that young people and families who faced technological challenges, such as a lack of devices, stable and affordable internet connections, or sufficient data allowances, could experience barriers to their right to an education. This paper revisits a community informatics (CI) model of internet access, the Access Rainbow, to analyze attempts to operationalize the right to an education through technology in Ontario. In parallel to rights, however, the field of CI faces the ongoing presence of profit-oriented corporations within universal access efforts. This paper argues that socio-technical infrastructural elements of access to the internet became visible through the breakdown of the pandemic. Furthermore, it considers the multi-stakeholder efforts required to implement useful and effective access, where school boards responded in varied ways locally. The paper contributes the concept of refraction to offer continued theorization of a distributive paradigm and a rights-informed approach in community informatics against the backdrop of the pandemic, which could also act as an opening for privatization and disaster capitalism.
Optimized Segmentation of Microscopic Images by Otsu’ Method to Find White Blood Cells

In the medical field, microscopic image-based investigations are broadly used to examine cell morphology and for disease diagnosis. In this article white blood cells (WBC) are identified from microscopic images by image segmentation. One of the important segmentation methods is multilevel thresholding of an image, in this process pixels are grouped into different classes depends on thresholding levels. The selection of threshold levels affects the efficiency of segmentation. Otsu’s method is a significant and important segmentation technique based on the multi-threshold of the histogram. Optimization techniques can be used to compute optimized threshold levels, Harmony Search Algorithm (HSA) is used for this purpose. From the color, microscopic image red, green, and blue components are extracted and segmentation to find white blood cells, and from the same images gray, hue, saturation, and intensity components also extracted pathological features. After segmentation Morphological opening and closing are applied for an efficient finding of white cells, from results the green component of microscopic images is giving efficient results. Results are described by using standard deviation (STDR), mean square error (MSE), Mean of fitness of algorithm (MOFIT), time for execution, and FITNESS function.