Reviewerly/exHarmony huggingface dataset:
INFORMATION AND DIGITAL LITERACY: THE INFORMATION PROFESSIONAL SKILLS IN THE GLOBAL LABOR MARKET

The objective of this work is to promote a study on how the market demand for information skills boosted the training of professionals in this field and influenced the study of information and digital literacies from the first years of basic education to undergraduate and professional courses. .This theoretical and qualitative research was designed on the search and reading of articles in databases and specific references in the field of Information and Education.As a result, it offers a holistic overview of the professional information market and an educational process that begins at an early age and builds citizens as democratic pillars in the knowledge society in the information age.
Attitude Of The Educational Process Participants To Distance Learning

The introduction of digital technologies is manifested in almost all areas of professional activity, including education. The transformation of education in the context of digitalization radically changes the approach to the educational process and the lifestyle in general. Currently, the priority task facing the education system is the creation of an open education system that provides open access to educational resources based on digital technologies. The use of digital technologies in the educational process is becoming a requirement of the time, which makes it possible to organize a student-centered educational process for each student on the basis of individual educational trajectories, and also ensures the availability of education regardless of their location. Digitalization in education allows presenting studying material in a new way, work with images, sound, video materials, as well as conduct webinars, video conferencing and classes on various platforms, which contributes to increasing the motivation of learning and more solid assimilation of educational material. The results obtained determine the advantages and disadvantages of distance learning, in comparison with traditional education. The main advantage is the ability to study at a convenient time. Among the shortcomings, two of the most important were identified: the lack of personal contact with the participants in the educational process and a large amount of time spent at the computer, which contributes to the deterioration of vision and posture. The results of our research allow to state that the majority of respondents are currently not ready to fully switch to a distance learning format.
Sentiment Analysis Applications during COVID-19 Pandemics: An Exploratory Review

Coronavirus pandemic has created complex challenges and adverse conditions. Sentiment analysis is a process of studying the user application. Because of using the internet in daily activities, many domains and organizations concentrate on analysis or getting user feedback to take the right decision. This paper is review the existing applications that used a sentiments analysis to identify major sentiment trends associated with the push to reopen the analyzing sentiment in social media like Twitter, etc. Data time aligned to the COVID-19 reopening debate. In addition, discover the most popular techniques and approaches. This study focus the research articles in high impact journals that published during the epidemics from 2019 to 2021. The research question that this study answer it are. This study can be beneficial to many domains such as sentiment analysis, text mining, research in related areas, and postgraduate students. This research could present valuable time sensitive opportunities for governments, and the nation into a successful new normal future. Several applications have employed in several domains, including tourism, education, business and health. Health information can be disseminated by social media and misinformation can be addressed via this platform.
Optimal Method of Integer Factorization

The object of the research is performance of integer factorization algorithms and possibility of mathematical methods using in these algorithms. The subject of the research is cryptographic properties GNFS method. Methods of research are methods of the theory of elliptic curves, finite fields, abstract algebra and advanced the theory of factorization algorithms. As a result of this work, the dependence of the properties of a minimal time of factorization and choice of algebraic factor bases over the ring Zn, where n=pq was established. Moreover, we have implemented the general number field sieve (GNFS), which is the most efficient classical algorithm known for factoring integers.
Spatial Attention Frustum: A 3D Object Detection Method Focusing on Occluded Objects

Achieving the accurate perception of occluded objects for autonomous vehicles is a challenging problem. Human vision can always quickly locate important object regions in complex external scenes, while other regions are only roughly analysed or ignored, defined as the visual attention mechanism. However, the perception system of autonomous vehicles cannot know which part of the point cloud is in the region of interest. Therefore, it is meaningful to explore how to use the visual attention mechanism in the perception system of autonomous driving. In this paper, we propose the model of the spatial attention frustum to solve object occlusion in 3D object detection. The spatial attention frustum can suppress unimportant features and allocate limited neural computing resources to critical parts of the scene, thereby providing greater relevance and easier processing for higher-level perceptual reasoning tasks. To ensure that our method maintains good reasoning ability when faced with occluded objects with only a partial structure, we propose a local feature aggregation module to capture more complex local features of the point cloud. Finally, we discuss the projection constraint relationship between the 3D bounding box and the 2D bounding box and propose a joint anchor box projection loss function, which will help to improve the overall performance of our method. The results of the KITTI dataset show that our proposed method can effectively improve the detection accuracy of occluded objects. Our method achieves 89.46%, 79.91% and 75.53% detection accuracy in the easy, moderate, and hard difficulty levels of the car category, and achieves a 6.97% performance improvement especially in the hard category with a high degree of occlusion. Our one-stage method does not need to rely on another refining stage, comparable to the accuracy of the two-stage method.
Muslimah Design Trends Through The Role Of Fashion Forecasting

Muslimah fashion design nowadays is a fashion trend that is the best alternative for Muslim women who want to cover their aurat with an attractive style. With a variety of options, Islamic clothing is not considered conservative or outdated. Therefore the form of fashion design should be more contemporary and in accordance with Islamic characteristics and suitable for use by all nations. In this paper the researcher will look at the fashion forecasting process used in the production of Muslimah clothing. Fashion trends are an important element in determining the concept of clothing design. As a trend forecasting concept, several things have a significant impact on the fashion industry. The ability to forecast trends in fashion, technology, and culture is a critical area of ​​the marketing industry dedicated to identifying patterns of consumer behavior while helping companies and brands connect with audiences. Fashion trends are styles of clothing and accessories that are popular at a particular time. It will affect the popularity and lifestyle for example through the use of colors and fabrics used. Fashion forecasters will do research somewhere to find out new trends and try to bring some new ideas about the brand. It requires scientific skills and creative concepts. Thus, fashion forecasting is a field in the fashion industry that is concerned with predicting upcoming fashion trends in terms of colors, design techniques, textile materials, and more that lead to consumer demand. Fashion forecasters produce trend reports that are used to develop a brand for the production of a product. In the process of making designs, designers need to pay attention to fashion predictions which in addition to having Islamic characteristics, the design can be comparable to international designs.
GPGPU Implementation of Variational Bayesian Gaussian Mixture Models

The efficient implementation strategy for speeding up high-quality clustering algorithms is developed on the basis of general purpose graphic processing units (GPGPUs) in this work. Among various clustering algorithms, a sophisticated Gaussian mixture model (GMM) by estimating parameters through variational Bayesian (VB) mechanism is conducted due to its superior performances. Since the VB-GMM methodology is computation-hungry, the GPGPU is employed to carry out massive matrix-computations. To efficiently migrate the conventional CPU-oriented schemes of VB-GMM onto GPGPU platforms, an entire migration-flow with thirteen stages is presented in detail. The CPU-GPGPU co-operation scheme, execution re-order, and memory access optimization are proposed for optimizing the GPGPU utilization and maximizing the clustering speed. Five types of real-world applications along with relevant data-sets are introduced for the cross-validation. From the experimental results, the feasibility of implementing VB-GMM algorithm by GPGPU is verified with practical benefits. The proposed GPGPU migration achieves 192x speedup in maximum. Furthermore, it succeeded in identifying the proper number of clusters, which is hardly conducted by the EM-algotihm.
An Applied Secant Method for Recovered Missing Mass Values in Data Mining

In data mining, the preparation of complete, quality and real data is a key prerequisite for successful data mining in order to discover something new from data already recorded in a given database. Data preparation for data extraction is a fundamental step in data analysis. Data with missing values complicate both data analysis and application of a new data solution. To overcome this situation, some Numerical techniques must be used during data preparation. With the help of Numerical and technical methods, we can retrieve the incomplete state of missing data in huge sequential values and reduce ambiguities using an applied Secant method. In this article, we present a sequential method by which the values of the missing attribute are replaced by the best adapted value.
Preface

The 2021 International Conference on Smart Energy and Energy Internet of Things (SEEIoT 2021) was planned to be held on December 17-19, 2021 in Hefei, China. Due to the impact of COVID-19, many communities from all over the world were under strict health measures and strict travel restrictions, and participants of 2021 International Conference on Smart Energy and Energy Internet of Things (SEEIoT 2021) also meet with the difficulty of travel restrictions. For communities, if our conference was not held in a virtual form, it would add huge work on traffic system, Exit-Entry system, medical system, etc., which is quite a serious issue, to actively respond to the call of the government, to strengthen the protection work, to effectively reduce people gathering and prevent COVID-19, considering the situation that most of the authors would like to publish their articles and make academic communications as scheduled, SEEIoT 2021 was held on-line instead of postponing the conference. It was a challenge, not only to the organizers, but also to the participants who were delivering their speeches using videoconference tools, under different time zones. The annually-held SEEIoT conference aimed to gather professors, researchers, scholars, and industrial pioneers all over the world. SEEIoT is the premier forum for the presentation and exchange of past experiences and new advances and research results in the field of theoretical and industrial experience. The conference welcomed contributions which promote the exchange of ideas and rational discourse between educators and researchers all over the world. The organizing committee of conference is pleased to invite prospective authors to submit their original manuscripts to SEEIoT 2021. List of Committee member are available in this pdf.
PENERAPAN TEKNIK ZERO WASTE PADA PEMBUATAN BUSANA DEMI COUTURE

The development of dynamic fashion trends greatly affects the fashion industry, where it has an impact on the increase in the amount of waste every year. Considering the increasing use of synthetic fabrics because they are considered more efficient, the waste reduction must also be carried out through efficient use of fabrics. So that it encourages designers to make changes in the design and production process so that the resulting product does not produce a lot of waste and does not even produce waste. Zero waste is a technique that can be used to reduce residual waste from production because the waste generated is less than 15%. The application of the zero waste method in Indonesia has been applied by several ready-to-wear fashion brands. Thus, the application of the zero-waste technique in this study was carried out on clothes for the sake of couture, because clothes for couture that use a lot of various design lines and silhouette shapes, make clothes for couture tend to produce more waste. This study using a qualitative method, through the collection of observational and exploratory data on a zero waste pattern. The use of this method is based on the purpose of the study, which is to show that zero waste can be the right solution in reducing fabric waste from clothing production for the sake of couture, so that the use of fabric is more optimal.&#x0D; Keywords : Fashion, Zero Waste, Demi couture.
Tegal Tourism Object Selection Decision Support System Using Fuzzy Logic

There are many agencies that have databases but are left without proper management. For example, in tourist attractions in Kota &amp; Kab. Tegal, along with the rapid development of tourism technology, the tourism industry requires the tourism industry to apply information technology to provide convenience for tourists to find out tourist areas according to the cost, and the distance of the tourist attractions entered. The provision of tourism information helps tourists to consider and make decisions to travel. Tahani Fuzzy Logic was chosen because the concept of Fuzzy logic is easy to understand, flexible, and because the Tahani logic method is a form of decision support where the main tool is functional with the main input criteria determined by the user/tourist. This system was implemented using web programming and MySQL database, where the variables to be considered are Type of Tour, Number of Facilities, Price of Tour Tickets, Number of Tourist Visitors, Travel Distance from City Center. The results of this study are a decision support system for tourism selection in Tegal using Fuzzy Tahani which can recommend tourist attractions in Tegal which are determined by tourists depending on tourist criteria based on the firestrength of the selected variables
Influence of Social Media Chat on English Writing Skills of the Students

The advancements in technology have cast a shadow on people belonging to all walks of life.The life of youth is incomplete without the use of technology. Mobile phones have become a necessity in their lives. Invent of internet gifted mobile phones with many new applications e.g. WhatsApp,Twitter, Snapchat, etc. WhatsApp is the easiest and the most user-friendly application among all has gained tremendous importance in the lives of youth. WhatsApp users are rising each day as every new invention comes up with many advantages as well as disadvantages. The present study attempts to study the effects of WhatsApp messenger on formal writing of students by using a mixed research design i.e. two research tools have been used for the collection of data, one is quantitative in the form of a questionnaire whereas the other one is qualitative like the assessment of students essays.Resultantly, it was found that the language they use in texting while using WhatsApp messenger often deviates from the spelling and grammar rules of a standard language. It was observed that the informal style of writing developed due to excessive use of WhatsApp is reflected even in the formal writing of the students. The linguistic expressions used over WhatsApp by most of the students affect their writing skills negatively
The Characteristics of the University Admission System and Their Infl uence on the Accessibility of Higher Education

The study provides a review of the admission to universities models in different countries and also a comparative analysis of the educational systems characteristics from an international perspective. The aim of the research is to assess the possible impact of the educational system characteristics on the accessibility of higher education. There is also proposed an analytical model which explains how the level of autonomy and selectivity of the educational system, along with the characteristics of the student financial support influence the level of accessibility of higher education. The framework of the model is supported by the cases of selected groups of countries: post-Soviet countries, the USA and the UK, Scandinavian countries and Western European countries. Based on the classification of higher education systems, countries with the highest level of access to higher education tend to have low levels of autonomy and selectivity, or they also can be characterized by highly developed system of financial support. As a result, it was found that high selectivity and autonomy level can negatively influence the accessibility of higher education, while high level of the financial support system may neutralize this effect and positively influence on the access to higher education. Results of the study can be useful while reforming the selection system in Russia, since comparative analysis shows which tools make it possible to increase the accessibility of higher education and, as a result, to reduce educational inequality among different social groups.
Design and Implementation of a High Precision Time Synchronization Method for Borehole-surface Microseismic Monitoring

Borehole-surface monitoring can effectively improve the accuracy of the microseismic event location. It is necessary to strictly synchronize the acquisition time of borehole and surface monitoring nodes. However, the synchronization signal transmission through the logging cable will cause a delay. In this paper, a calibration method designed to compensate for the deviation of time synchronization due to long-distance transmission on the logging cable. First, the transmission delay of the pulse per second (PPS) is measured in the delay measurement stage. The delay from the global positioning system (GPS) module to all monitoring nodes can get in sequence. Second, In the delay compensation stage, each monitoring node is delayed for a particular time to ensure that all nodes start working simultaneously. Finally, a high-precision clock source is designed to drive the analog-to-digital converter (ADC) to avoid the crystal oscillator’s accumulated error. To verify the accuracy of the calibration method, the modules were tested separately. The length of the logging cable used is 3000 meters. Through experimental verification, the method in this paper can be used to accurately control the time synchronization of different monitoring nodes in the borehole and on the surface within 1us.
Development of an improved method for forming pseudorandom numbers based on redunte M-ary codes

The development of information technologies in cyberspace is associated with the development of security services in the components of security: cybersecurity, information security and information security. To provide security services, as a rule, cryptographic algorithms and functions based on symmetric and asymmetric cryptography systems are used. An integral part of such cryptosystems are pseudo-random number generators that allow you to generate a random sequence over a period. One of the evaluation criteria is the duration of the period and its guarantee, i.e. ensuring the randomness produced by the random number generator, another criterion is cryptographic strength - the ability to resist hacking by intruders. On the strength of pseudo-random number generators, symmetric flow cryptosystems are formed that ensure the strength of the cryptogram. The article analyzes the methods for constructing symmetric stream cryptosystems, proposes cryptographic generators of pseudo-random number sequences (PRNGs), the security of which is based on the complexity-theoretic problem of syndromic decoding. An improved method for generating PRNGs is proposed, which makes it possible to provide a guaranteed period of generated sequences.
Identification of effective channels and methods for promoting university educational services

Research in the field of promotion includes a large number of areas necessary for planning, evaluating the effectiveness of promotion activities, tracking the evolution of media preferences and media behavior of consumers, analyzing the formation of a company's brand, and more. Currently, universities are spending significant funds and efforts to promote their educational services in the economic areas of training in the conditions of intense competition in this market. The identification of effective channels and methods of promotion based on field quantitative research in the form of a survey of first-year students will serve as the basis for the development of promotion activities that will ensure the achievement of the intended goals at the lowest cost. The methods of identifying effective channels and methods for promoting educational services of universities includes the research process, the structure of the questionnaire and the technology for processing survey results in a static package. The structure of the questionnaire includes questions to identify effective channels and methods for promoting the educational services of the university, to describe media preferences, media behavior, portraits of respondents and factors influencing consumer decisions. The proposed technology for processing survey results in a statistical package includes a descriptive (frequency) analysis and testing of hypotheses about the presence of a relationship between multiple variables based on the calculation of Pearson’s Chi-square. The verification of the proposed methodology was carried out on the basis of a survey of first-year students studying in the economic areas of training at the Vladivostok State University of Economics and Service. The results of testing the put forward hypotheses confirm that the study should be carried out on the basis of a survey of first-year students studying in the areas of one enlarged group of economic areas of training. The results obtained are of practical interest for planning the promotion of educational services of universities in the economic areas of training.
TRANSLATED PUBLICATIONS ON BIBLIOTHERAPY IN BULGARIA – A REFLECTION ON THE TRAINING OF STUDENTS MAJORING IN LIBRARY AND INFORMATION MANAGEMENT

Information about the paper titled "TRANSLATED PUBLICATIONS ON BIBLIOTHERAPY IN BULGARIA – A REFLECTION ON THE TRAINING OF STUDENTS MAJORING IN LIBRARY AND INFORMATION MANAGEMENT" at IATED Digital Library