Reviewerly/exHarmony huggingface dataset:
Virtualization And Problems Of Training It Specialists

In the era of digitalization of all branches of human activity, there is an increasing need for the training of highly professional specialists in the field of information technology. Without mobile communications and Internet access, modern society cannot exist. Current trends require a corresponding increase in the quantity and quality of staff. Therefore, educational institutions are faced with the task of training an increasing number of specialists with all the necessary knowledge and skills in the field of information technology. The presented article is devoted to improving practical training of students in IT areas. It briefly outlines the problem of practical training associated with the need to provide each student with the full administrative rights necessary to complete educational practical tasks. This is contrary to security requirements that limit user rights to the minimum. As a solution to this problem, the use of virtual machines is proposed. The results of applying this approach confirming its effectiveness are presented.
Cloud technologies as a basis for the integration of teacher training systems for the International Baccalaureate schools

Problem and goal. The article describes and substantiates the ways of solving the problem of the lack of approaches to the integration of methodical systems for training future teachers for International Baccalaureate programs based on the use of cloud technologies. The need for such integration is due to the fact that the training of teachers for International Baccalaureate schools involves professionals from various fields and organizations, including foreign speakers. The purpose of the described study was to confirm the effectiveness of the developed model of approaches to informatization of the system of training for future teachers of International Baccalaureate schools. Methodology. A pilot study consisting of two stages was conducted. At the first stage, we worked with professors of the pedagogical university who are training future teachers for International Baccalaureate schools. The second stage was carried out based on the formation of two groups of students of the pedagogical university: control group (19 people) and experimental group (17 people). In the experimental group, students were trained in the conditions of integrated methodical systems of disciplines based on a specially developed model of approaches to informatization of training for future teachers of International Baccalaureate schools. Results. The study found that the integration of methodical systems using cloud technology to organize joint work on training future teachers for International Baccalaureate schools contributes to the effectiveness of the formation of professional competence of such teachers. Conclusion. The effectiveness of the developed model of approaches to the integration of methodical disciplines that form the basis for training future teachers for International Baccalaureate schools is experimentally proved.
Information Literacy Training on the Preparedness of Garut People in Facing Landslide Threats

The purpose of this study was to analyze the impact of information literacy on the preparedness of the people of Garut Regency in facing the threat of landslide. The data ini this study are the people of Garut Regency who have been affected by landslides based on the 2010 population census based on gender. The research method uses quantitative patterns in the form of surveys. The results showed that the magnitude of the impact of the ability to identify and find the location of information on public awareness in facing the threat of landslides by 38%. The impact of landslide information literacy can increase the preparedness of the people of Garut Regency by 57%. The conclusion is the impact of information literacy has a significant impact on the preparedness of the people of Garut Regency in facing the threat of landslides. &#x0D;
Evaluation of Virtual Shadow’s Direction in Laparoscopic Surgery

Laparoscopic surgery can realize minimal invasive surgery. However, it's difficult for surgeon to recognize the depth during suturing. Binocular endoscope helps surgeons to recognize the depth, but surgeons do not understand the circumstance by equipping with head mounted display. Since shadow helps surgeon to recognize the depth, in this paper, we developed the virtual shadow drawing system. The system shows shadow like actual by the estimation of the forceps position, surface shape and shadow's position. We tested the accuracy of the system by evaluating the estimated distance and angle between the forceps and the surface. The error and delay were enough small to draw shadow like actual. Furthermore, participants performed the suturing task while looking at the shadow. The experiment was carried out in a variety of the shadow's direction. As result, the suturing error's mean and variance value was the least at the 270 deg. In conclusion, the appropriate shadow would be vertical to the wounds.
Assurance Of Safety Of Computer-Based Testing System For Midterm Knowledge Assessment

Today higher education in Russia is shifting to the digital form of presentation and processing of information. Emerging technologies make it possible to provide a qualitatively new level of organization and conduct of educational process in higher education. There is a need to develop new options for the organization of the educational process, including, qualitatively new methods for assessing the knowledge. Traditional testing conducted with the use of computing facilities in the conditions of an active electronic educational environment of a university is an affordable means of measuring the knowledge, the skills and, in some cases, the abilities of students. In the process of its development and improvement of computer technology, the evaluation of student study results offers more and more new testing methods. In the process of development and improvement, computer technologies for assessing the student study results offer more and more new testing methods. However, along with this, one has to take into account the new risks associated with the peculiarities of their implementation, the risks of incorrect assessment of the learner's knowledge. The article provides a classification of such risks, an analysis of the causes of their occurrence, and suggests methods to minimize their impact on the assessment results, which ultimately increases the reliability of using a computer-based testing system.
Smart educational technology

The article noted that in the information society, digital technologies are rapidly being introducedinto the education system and have led to the introduction of new requirements for the knowledge andskills of people. Consequently, new approaches to the form of lifestyle and in building relationships haveled to a great breakthrough in the development of modern educational technologies.The definitions of the term «Smart», «Concept of Smart Education» were clarified, goals and objectives were defined. It considered approaches to the formation of a smart-environment of the educationalprocess necessary for high-quality smart education. It showed the relevance of this research topic in themodern realities of the formation of a new type of education, which will improve the quality of professional training. It presented the basic principles of the organization of smart-learning, such as learningflexibility in an interactive educational environment, an integrated learning environment, content sharingby all universities, personalization and learning adaptation.
Discovering Trending Topics from the Tweets by Odia News Media during Covid-19

The onset of the Covid-19 pandemic and the lockdown imposed due to it has fueled the news consumption significantly. News portals including the ones in Odia language are actively feeding news related to Covid-19 to their consumers via their websites and Twitter handles. The news items didn't restrict to Covid-19 alone; they also touched a variety of domains of life like education, healthcare, administration, politics, movies, etc. Discovery of the news trends provides a bird’s eye view of the issues and topics that are popular in the online community. This could be of interest to advertisers, marketers, researchers, sociologists, and policymakers. This paper applies Topic Modeling to discover the trends from the tweets made by the Odia news media from 20th March 2020 to 31st August 2020, the period which saw the emergence of both lockdowns and unlocks in India. We found that during this period the Odia news media didn’t restrict themselves to report news surrounding Covid-19; rather they reported other happenings as well.
Application of Beyond Centers and Circles Time Method to Improve Writing Skills and Scientific Attitude of Prospective English Learners

The study aimed to prove the effectiveness of the application of the Beyond Centers and Circles Time methods on coursework writing, measuring improved writing skills and the attitude of prospective English lecturers' learners after applying the methods of Beyond Centers and Circles Time and knowing learner responses to the application of the methods of Beyond Centers and Circles Time. This type of research is a quantitative approach with a quasi-experimental design using posttest Experiment Group design pretests. The result shows the changing occurs in learners' writing skill which means that there is an increasing in the pretests value to the posttest with an average N-Gain of moderate criteria is 0.56, from the test results the P-value is 0.000, if the P-value < 0.005 can be concluded that the method Beyond Centers and Circles Time effectively applied to the course of writing, there is a percentage increase in scientific stance at each of the lowest meetings of 52.00% and the highest percentage of 84.80. Conclusion of the results that the implementation of the method of Beyond Centers and Circles Time was obtained that the increase in writing skill and the scientific attitudes of prospective lecturers and learners gave positive responses to the application of Beyond Centers and Circles Time method.
Long-distance learning in the globalized world: contemporary tendencies and experience of their implementation

The article is dedicated to the challenges of implementation of long-distance learning in the contemporary globalized education space. The article analyzes the theoretical grounds and contemporary tendencies of long-distance learning, represents practical experience of its implementation during the COVID-19 pandemic in the Ukrainian and international educational practice. The efficient asynchronous instruments for online learning have been revealed and the positive features of long-distance education for realization of competence and customized student-oriented education have been defined. We see the prospect of further research in theoretical and technological development of the issue of forming information and communication competence as well as implementation of long-distance learning in the system of education of Ukraine.
Co-Adjusting Voltage/Frequency State and Interrupt Rate for Improving Energy-Efficiency of Latency-Critical Applications

As the power/energy consumption is one of the major contributors to the Total Cost of Ownership (TCO), improving power/energy efficiency is crucial for large-scale data centers where latency-critical applications are commonly accommodated while computing resources are usually under-utilized. For improving the power/energy efficiency of processors, most of the commercial processors support Dynamic Voltage and Frequency Scaling (DVFS) technology that enables to adjust Voltage and Frequency state (V/F state) of the processor dynamically. In particular, for the latency-critical applications, many prior studies propose power management policies using the DVFS for the latency-critical applications, which minimizes the performance degradation or satisfies the Service Level Objectives (SLOs) constraints. Meanwhile, although the interrupt rate also affects the response latency and energy efficiency of latency-critical applications considerably, those prior studies just introduce policies for V/F state adjustment while not considering the interrupt rate. Therefore, in this article, we investigate the impact of adjusting the interrupt rate on the tail response latency and energy consumption. Through our experimental results, we observe that adjusting interrupt rate along with V/F state management varies the performance and energy consumption considerably, and provides an opportunity to reduce energy further by showing latency overlap between different V/F states. Based on the observation, we show the quantitative potential in improving energy efficiency of co-adjusting V/F state and interrupt rate with a simple management policy, called Co-PI. Co-PI searches the most energy-efficient combination of the V/F state and interrupt rate from the latency and energy tables that we obtain through offline profiling, and reflect the combination to the core and NIC. Co-PI reduces energy consumption by 34.1% and 25.1% compared with performance and ondemand governors while showing the almost same tail response latency with the performance governor that operates cores at the highest V/F state statically.
Career anchors as predictors for organizational commitment of university teachers

The paper presents a pilot study for two phenomena, organizational commitment and career an- chors of university foreign language teachers. Career values were seen as predictors of organizational commitment. Internationalization and multilingualism of higher education entail the demand for foreign language teachers, who often teach, particularly, English in several workplaces. Knowing multi-dimen- sional connections between those phenomena makes it possible to influence organizational commit- ment through career orientations of teachers. Identifying and building organizational commitment is an issue of the university organizational culture and academic policy. The study objects are 66 university teachers for foreign languages from Almaty universities. The components of organizational loyalty and career orientations are the research subject matter. The study aimed at the organizational loyalty of university teachers and their career orientations as predictors. The research question focused on a relationship between organizational loyalty and career orientations of teachers. Conclusions reflect the results of the study. Key words: organizational commitment, loyalty, career anchors, university teacher.
Impact of Hand Used on One-Handed Back-of-Device Performance

One-handed Back-of-Device (BoD) interaction proved to be desired and sometimes unavoidable with a mobile touchscreen device, for both preferred and non-preferred hands. Although users? two hands are asymmetric, the impact of this asymmetry on the performance of mobile interaction has been little studied so far. Research on one-handed BoD interaction mostly focused on the preferred hand, even though users cannot avoid in real life to handle their phone with their non-preferred hand. To better design one-handed BoD interaction tailored for each hand, the identification and measure of the impact of their asymmetry are critical. In this paper, we study the impact on the performance of the asymmetry between the preferred and the non-preferred hands when interacting with one hand in the back of a mobile touch surface. Empirical data indicates that users' preferred hand performs better than the non-preferred hand in target acquisition tasks, for both time (+10%) and accuracy (+20%). In contrast, for steering tasks, we found little difference in performance between users' preferred and non-preferred hands. These results are useful for the HCI community to design mobile interaction techniques tailored for each hand only when it is necessary. We present implications for research and design directly based on the findings of the study, in particular, to reduce the impact of the asymmetry between hands and improve the performance of both hands for target acquisition.
Technology, Poverty, and Education within the BRICS’ Context

Purpose:The study investigated the impact of information and communication technology (ICT) on poverty and if education enhanced the influence of ICT in BRICS (Brazil, Russia, India, China, South Africa).Design/Approach/Methodology: Fixed effects, pooled ordinary least squares (OLS) and panel fully modified ordinary least squares (FMOLS) were used with data ranging from 1994 to 2015.Findings: ICT was found to have alleviated poverty only under the fixed effects approach whilst education had a reduction effect on poverty across all the three econometric estimation techniques used.Although not statistically significant, ICT and the interaction term were found to have reduced poverty under both the pooled OLS and FMOLS.Moreover, consistent with others education was found to be important in enhancing the impact of ICT on poverty alleviation under the fixed effects in BRICS nations.Practical Implication: BRICS nations are therefore urged to invest more in strengthening education and ICT systems in order to disentangle the people from the vicious cycle of poverty. Originality/Value:The study is unique because to the best of the authors' knowledge, it is the first paper to explore the effect of the complementarity between ICT and education on poverty alleviation.The paper is also unique in the sense that it considered the dynamic characteristics of poverty data, commonly referred to as the vicious cycle of poverty.
Usability Analysis of The Mobile-Based Cizgi Rent A Car Application Using The WEBUSE Method

&lt;em&gt;The development of information and communication technology offers convenience for its users. The use of information and communication technology also has a positive impact on the business world. For example, the use of advances in information and communication technology in the transportation sector. Cizqi Rent A Car is a Turkish company that launched a mobile application for online car rental service providers which is expected to make it easier for tourists or local residents who want to rent a car to travel in Turkey. By conducting usability analysis with the WEBUSE method, this study aims to determine the usability level of the Cizgi Rent A Car application. From the results of data analysis it is known that this application is quite famous because it has been downloaded by more than 10,000 downloaders from several countries including Indonesia. This application is used by Indonesians who make work visits and travel to Turkey. The usability level in the Content, Organization &amp;amp; Readability variables and the Navigation and Links variables can be said to be Good. The usability level for the User Interface Design variable can be said to be quite bad. The usability level for the Performance and Effectiveness variables can be said to be moderate.&lt;/em&gt;
INSTAGRAM: HOW DO STUDENTS VIEW ON IT IN SPEAKING CLASSROOM

The emergence of the 4.0 era requires the world of education to adapt to technology. Practicing and learning English can take the advantage of the sophisticated technology, especially applications that can be downloaded from students' smart phone. Students acknowledge that English learning done in the classroom is easy for them to forget because it is rarely used in everyday life. Practices done in the classroom do not have enough time for all students to speak English, and students are less motivation to speak English outside the classroom. Integrating Instagram into the process of teaching English speaking is believed could motivate students to speak and increase their speaking ability. Various features on Instagram can help students in doing assignments. Tasks may be packaged attractively within the variety of videos based on a certain theme and uploaded to Instagram. This study aimed to determine students' perceptions related to the use of social media Instagram in learning English speaking. This descriptive study used forty-four students Communication Science in academic year 2019/2020 who took Bahasa Inggris Keahlian. To determine students' perceptions, researchers used questionnaire adopted from Dornyei, 2011. The results of the study showed a positive or good response on students' perceptions towards the use of Instagram in learning English Speaking. Furthermore, Instagram can be used as another medium in teaching speaking. This is strengthened by the increase in self-confidence, learning motivation, and student interest in speaking in English.&#x0D;
Behavior Sequence Mining Model Based on Local Differential Privacy

Most of local differential privacy frameworks target statistics on certain privacy behaviors of users, but not behavior sequence. In this paper, we explore and propose a behavior sequence mining model that satisfies the local differential privacy requirement to settle the matter. We decompose their potential behavior sequence into multiple temporal pairs that are computed by the server to infer indirectly behavior sequence of users, shrinking the statistical sample space with adjacent temporal pairs to reduce statistical errors. The experiment takes an example, trajectories of users can be inferred by their location information, to demonstrate the effect our model achieved. It shows that the model can approximate users' trajectories under the requirement of local differential privacy.
A Shape Prior-Based Active Contour Model for Automatic Images Segmentation

Due to the variable shapes of objects, high noise intensity and complex environments, the field of image segmentation still has great challenges. To address these issues, we present a new image segmentation strategy based on active contour model and shape priori information, which can accurately and efficiently segment various images. The data fitting term, inspired by Chan-Vese (C-V) model, is used to guide the curve evolving to desired target boundary. Meanwhile, the contour is utilized to reconstruct a prior shape so that can help to deal with images in the presence of complex target. After that, the length regularity term of energy functional is incorporated to ensure the stable calculation of the evolution curve. The quantitative and qualitative experiments on various real and medical images indicate that our method is more efficient and accurate than the existing unified models.
An Improved Mask Approach Based on Pointer Network for Domain Adaptation of BERT

Abstract Pre-trained BERT model has shown its amazing strength on downstream NLP tasks by fine-tuning. However, the results with fine-tuned BERT will decrease when the model is directly applied to a series of domain-specific tasks. he original fine-tuning method does not consider accurate semantics of tokens in a specific domain. Different from random selecting, we present a more efficient mask method which utilizes a pointer network to decide which tokens should be preferentially masked. The pointer network sorts tokens in a sentence by their recovery difficulty. Then we train a BERT model to predict top tokens that are replaced by [mask] in original sentences. We tested the new training approach on biomedical corpora. Experiments show that the new trained model outperforms the original BERT model in some domain-specific NLP tasks while consuming extra domain corpus.