Reviewerly/exHarmony huggingface dataset:
ANALYSIS AND ASSESMENT OF CRYPTOCURRENCY AND BLOCKCHAIN TECHNOLOGY IN FUTURE

Cryptocurrency can be defined as the systems which allow secure payments against online transactions and are denominated in the form of virtual token. The potential of utilizing crypto currencies in developed countries are more dominant at present. However, in future, these potentialsis expected to grow more in countries like Poland. It can be concluded from this chapter that; block chain technology is another language and platform agnostic technology which is developed with the help of major programming language. The concept of research onion is being used in order to accomplish the aim and objectives of this study.
Obstacle Detection Based on Heterogeneous Data Fusion

Obstacle detection is very important for the autonomous movement of robots. Variety of sensors are used in obstacle detection to obtain information about obstacles. Different types of data obtained by sensors cannot be directly analyzed. This paper proposed an obstacle detection method based on heterogeneous data fusion. An image processing method is adopted to process the image of obstacle obtained by monocular vision sensor, and the size and position of the obstacle can be obtained. Then using infrared distance sensors are used to obtain distance of obstacles. Finally the location and distance information of obstacles can be obtained by a specific algorithm. Two experiments are performed for verifing the effect of proposed method. Experiments shown that the proposed method can effectively obtain the position and distance of obstacles.
Privacy Risk Evaluation of Re-Identification of Pseudonyms

In recent years, personal data collected from applications or web sites have been utilized in various occasions all over the world. Under such circumstances, evaluating the anonymity of personal data quantitatively is quite important in terms of privacy preservation. In this paper, we propose Average Re-identification Rate(ARR), as one of the anonymity-evaluation method, which is based on a similarity of historical data. Our proposing method adopts a multi-pseudonymization which updates pseudonyms on fixed-time intervals, and evaluates re-identification risk in a certain interval determined in advance. We also apply several methods to evaluate data similarity such as Jaccard index and inverse document frequency(idf) to the proposing method and compare their properties on a collected web-browsing history data. Moreover, we consider speed-up methods to calculate similarity.
The Applications of Advanced Technologies in Dispelling Students Doubts’ about Their Majors

In China, many college students don't know their majors well during choosing them after their successful college entrance examinations.When they go into the college and begin their specialty learning, they are often puzzled by a series of doubts about their discipline knowledge.How to help them to dispel those doubts is very important for them to become senior professional talents in the future.In this paper, an approach is put forward as an alternative method for eliminating the college students' learning doubts about their major.Based on two advanced technologies (electrospinning and electrospraying), some positive teaching materials are refined to dispel the students' doubts and meanwhile increasing their interests about the professional knowledge for those majoring in the specialty of Material Science and Engineering.The strategies exhibited here should be similarly useful for college students majoring in other disciplines.
Epistemic and Cognitive Analysis of Proportionality Tasks from the Algebraization Levels Perspective

In this article we present the results of the evaluation phase of a training intervention with primary education prospective teachers on the subject of proportionality. The focus is on developing the epistemic and cognitive analysis competence of mathematical practices in problem solving. The prospective teachers first solve a mathematical task of inverse proportionality in several ways, then identify the mathematical practices employed in the resolutions, the objects and meanings, the difficulties, the levels of algebrization involved, and finally, perform the analysis of two solutions proposed by school pupils to a problem of direct proportionality. The results indicate that the future teachers’ knowledge about proportionality present deficiencies that can hinder the teaching of the subject. Likewise, it is concluded that developing the required professional knowledge and skills requires the application of longer training interventions.
Основы профессионально-личностного саморазвития в контексте компетентностного подхода

This article describes the main aspects of professional and personal self-development in the context of competence-based approach. In modern intensively developing time requirements to preparation of specialists of a pedagogical profile in higher educational institutions where intensively and purposefully favorable conditions for formation of readiness of the student for professional and personal self – development increase increase. According to the State program for the development of education in the Republic of Kazakhstan, the content of higher education should be focused on “...ensuring the self-determination of the individual, creating conditions for its self-realization”; “...the formation of a person and a citizen prepared to join the modern society and aimed at improving this society” (Nazarbaev,2018). In this program the necessity of formation in the personality of the future teacher of ability and readiness not only to apply the knowledge, abilities and skills in constantly changing conditions, but also capable to realize meanings of the professional activity, to accept professional values and to be ready to continuous professional self-development is defined. Professional and personal self-development is a process of personality formation, focused on the mastery of professionalism and carried out in the course of self-development of the individual, professional activities and professional interactions. During the diagnostic study to determine the level of competence of self-development were used the following methods of diagnostic research: theoretical and methodological analysis of scientific sources, psychodiagnostic methods. The results obtained during the study revealed the main components of the competence of selfdevelopment. That is a very important lever in stimulating professional and personal self-development of the future teacher.
Regras da norma de catalogação Recurso Descrição e Acesso que podem ser padronizadas na política de catalogação da biblioteca

Resource Description and Access (RDA) is the cataloging standard that was released in 2010 to replace the AACR2. Configuring some RDA rules requires local decisions from the cataloging agency or allows options, choices, and cataloger judgment. This aspect of the norm directs towards the elaboration of the cataloging policy to implement the RDA. The present study questions which are the RDA rules that can be standardized in the cataloging policy of the library. In it, bibliographic research was used on primary and secondary sources on the standard and was limited to analyzing 17 RDA rules. The results considered that the rules – Language and Script; RDA Elements; Sources of Information; Capitalization; Punctuation; Abbreviations; Recording Statement of Responsibility; Statement of Responsibility Relating to Title Proper; Statement Naming More Than One Agent; Extent (Exact Number of Units Not Readily Ascertainable; Single Volume with Unnumbered Pages, Leaves, or Columns) ; Content Type; Media Type; Carrier Type - are prone to be discussed in the cataloging policy of the library. The rules of the RDA - Changes Requiring a New Description; Inaccuracies; ISBD Punctuation; Recording Edition Statement; Publication Statement e Place of Publication Not Identified in the Manifestation - were considered not prone to standardization in the cataloging policy and should be followed as directed by the RDA. It is concluded that the cataloging policy is an important document, being essential for the cataloging with the RDA.
A Game Based Path Planning Method for Dual UAVs in Complex Environments

Aiming at the cooperative reconnaissance problem of dual UAVs with reconnaissance function and jamming function in complex environment, a path finding algorithm based on positive sum game is proposed to achieve the global optimum and ensure the safety of UAV. Firstly, the mathematical model of environment and flight constraints is established, the UAV is regarded as the participant in the game, the path planning of the UAV is regarded as the optimal strategy of the participants. The design payoff function includes the UAV’s function, cooperative priority, flight constraint, the length of flight path, collision prevention, threats, etc. By solving the optimal solution in the game to obtain the optimal path of all UAVs. Simulation results show that the proposed method can be implemented in a complex environment, in which, UAVs cooperate with each other to cover and reconnaissance, ensure their own safety and make up for their lack of execution ability.
PENERAPAN METODE GROUP INVESTIGATIONS DALAM PEMBELAJARAN MENULIS TEKS PROSEDUR PADA SISWA KELAS XI SMK

In learning procedure text writing the majority of students get low grades, especially in developing their ideas into written material. In this study, the authors want to see the effectiveness of learning outcomes in the procedure of writing text skills by trying to apply the Group Investigations method to students to see how the writing results in writing procedure texts. This study aims to determine the differences in the learning outcomes of writing procedure texts with the application of the Group Investigations method to the learning of writing procedure texts of students in class XI Vocational High School. The research method used in this study is a descriptive qualitative method that describes the comparison of the results of student scores on learning to write procedure texts using the Group investigation method. The results show that there is an increase in the value of students after being given treatment. The average score at pretest was 72.5, the lowest score was 60, the average score was 75 and the highest score was 80, while the average score at posttest was 85, the lowest value was 80, the average score was 85, and the highest score was 95. This proved that the text learning process the procedure gets better. Students become richer in their vocabulary so that when given treatment students can clearly determine the general statement and structure of the procedure text. With the application of the Group Investigations method to Vocational High School students in class XI, they experience differences after being given treatment.
BRSKI Cloud Registrar

This document specifies the behaviour of a BRSKI Cloud Registrar, andhow a pledge can interact with a BRSKI Cloud Registrar whenbootstrapping.
THE ROLE OF BASIC ATTENTION IN THE ACCOMPANIMENT OF PATIENTS WITH CHRONIC PAIN

INTRODUCTION: Chronic pain can be considered a pathology and not just a symptom, which negatively influences people’s quality of life, leading to a decrease in autonomy, isolation and impact on social life. In this context, considering the pain related to chronic health problems, it can be affirmed that Basic Care represents a strategic service due to its high capillarity and potential to identify health needs of the population by subsidizing the organization of care throughout the network. health services. OBJECTIVE: To discuss the role of Primary Care in the management of patients with chronic pain. METHOD: This is a descriptive study of a qualitative approach, carried out through literature review. DISCUSSION: Social determinants can be considered to have a strong impact on the prevalence of chronic diseases as well as their reflexes, such as pain. Social inequalities, differences in access to goods and services, low level of schooling and inequalities in access to information generally determine a higher prevalence of chronic diseases and diseases caused by these diseases. In this context, Primary Care plays a fundamental role because it represents a strategic service with high capillarity. CONCLUSION: Primary care has great potential to identify the health needs of the population by subsidizing the organization of care throughout the health services network, contributing to factors that negatively impact the health of the population, causing pain and suffering.
Trust Computation in Online Social Networks

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
A survey on Large Scale Data Analysis on Human Activity Patterns for health prediction

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Апробация авторской технологии организации лекционных занятий со студентами по физике с элементами эвристического обучения

This article presents the approbation of author's pedagogical technology of lectures organization with elements of heuristic learning into a learning process within the frame of a general physics course. The technology involves students into the process of production of own educational product in the form of creative works as a part of managed self-directed learning. The composition evaluation of the student-participant body has been carried out.
Coner: A Collaborative Approach for Long-Tail Named Entity Recognition in Scientific Publications

Named Entity Recognition (NER) for rare long-tail entities as e.g., often found in domain-specific scientific publications is a challenging task, as typically the extensive training data and test data for fine-tuning NER algorithms is lacking. Recent approaches presented promising solutions relying on training NER algorithms in an iterative weakly-supervised fashion, thus limiting human interaction to only providing a small set of seed terms. Such approaches heavily rely on heuristics in order to cope with the limited training data size. As these heuristics are prone to failure, the overall achievable performance is limited. In this paper, we therefore introduce a collaborative approach which incrementally incorporates human feedback on the relevance of extracted entities into the training cycle of such iterative NER algorithms. This approach, called Coner, allows to still train new domain specific rare long-tail NER extractors with low costs, but with ever increasing performance while the algorithm is actively used in an application.
Spatio-Temporal Neural Network with Dilated Retrospective Convolution for Short-Time Change Detection

Change detection remains to be challenging due to variability of real-world conditions. Existing methods usually require a long-time observation, from tens to hundreds of video frames as reference, to build a robust background model for separating changing foreground from background. The performances of these methods decline severely when subject to quite fewer reference frames. In this paper, we focus on the task of short-time change detection, which aims to detect changing foreground with only a few preceding reference frames. We exploit the capability of spatial-temporal neural network in learning and representing change-cued information, and propose a novel dilated retrospective convolution which enables feature extraction between the current frame and all reference frames in a retrospective manner, and uses spatially dilated kernel for flexibly expanded inter-frame field-of-views. Trained end-to-end on hard samples from various context, our architecture performs accurate in perceiving changes and effective in combating noises in complex scenarios. Extensive evaluation on CDnet demonstrates substantial superiority of our proposed method.
Robust Nonlinear Distributed Estimation Using Maximum Correntropy

With the development of information theoretical learning, maximum correntropy criterion (MCC) has shown its utility in non-Gaussian information approximation. The MCC has been applied in Gaussian filters to provide robust estimation under non-Gaussian environment. The extension of MCC to its information form enables robust distributed estimation. In this paper, a new MCC based diffusion information filter is developed for distributed multiple sensor estimation. Non-Gaussianity due to nonlinear dynamics and measurement can be accounted for by incorporating both state estimation error and measurement uncertainty into the correntropy. A numerical example is used to demonstrate the effectiveness of the proposed MCC based diffusion information filter.
An Expensive Study of Homomorphic Encryption to Secure Cloud Data

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
SISTEM AKUNTANSI PENCATATAN PERSEDIAAN BAHAN BAKU DENGAN METODE RATA-RATA BERGERAK

CV Sinar Nugraha is a company engaged in the manufacturing industry that produces chili sauce, soy sauce, and syrup. The production process is carried out every day except for syrup products which are only produced during Ramadan. Currently CV. Sinar Nugraha in the activity of recording accounting and inventory reports of raw materials is still manually so that it takes a lot of time and sometimes found errors in recordiThe research method used in this study is a descriptive method with a case study, the steps taken are observation and interviews with the manager of the company. The programming language used is PHP Hypertext Prepocessor (PHP), while the database uses MySQL software. This application is made to calculate the cost of raw material inventory using the Moving Average method. And the accounting records use the Perpetual method.The results of this study are a special application program in the form of Raw Material Inventory Accounting Information System for the calculation of the cost of raw material inventory consisting of functions to handle existing procedures, namely procedures for purchasing, spending, and reporting of raw materials. From the results of the implementation and testing it can be concluded that the application that has been made can be applied on the CV. Sinar Nugraha.
The readiness of primary school science and mathematics teachers in implementation of dual language program (DLP)

This research was conducted to determine the readiness of science and mathematics teachers in implementing DLP (Dual Language Program) in primary schools. This quantitative research using questionnaires forms. A total of 100 samples consisted of science and mathematics teachers who were randomly selected from the primary school district of Batang Padang. Descriptively, the data were analyzed using frequency distribution, percentage, mean and standard deviation. The findings show that the level of readiness of science and mathematics teachers in terms of knowledge is high while the level of implementation and the interest of teachers towards the implementation of DLP is moderate. Inferential analysis based on the correlation analysis that has been conducted also shows that there is no significant relationship between the level of teachers readiness and experience teaching of science and mathematics in primary schools for implementing DLP. In summary, science and mathematics teachers are generally willing to implement DLP where their knowledge of DLP is high, but their skill and interest are still moderate, and it has no relation with teacher's teaching experience. All parties should play a role to help science and mathematics teachers so that their skill and interest in DLP can be improved in an effort to ensure that the implementation of DLP more successful in the future.
Analisis Buku "Best Buddies English For Kindergarten (Book 2)" Sebagai Buku Ajar dalam Pembelajaran Bahasa Inggris Anak Usia Dini di TA-TK Al-Azhar Syifa Budi Solo Tahun Ajaran 2018/2019

Heni Widyaningsih/ A520150020. ANALYSIS OF THE BOOK BEST BUDDIES ENGLISH FOR KINDERGARTEN (BOOK AS A TEACHING BOOK IN ENGLISH LANGUAGE LEARNING EARLY CHILDHOOD AT TA-TK AL-AZHAR SYIFA BUDI SOLO AT THE ACADEMIC YEAR OF 2018/2019. Research Paper. Faculty of teacher training and education, Universitas Muhammadiyah Surakarta. July. 2019.The problem in this study was that the teaching book Best Buddies English For Kindergarten (Book used in English language learning in TA-TK Al-Azhar Syifa Budi Solo had not been known to be able to use both materials and presentation in accordance with Policy of the department of National Education (Depdiknas). The purpose in this study were to explain the material feasibility of the teaching book Best Buddies English For Kindergarten (Book and to explain the feasibility of teaching book Best Buddies English For Kindergarten (Book 2). This research was included in this type of qualitative descriptive research. The data collection was done by oberservation and documentation techniques. Researcher did the coding then continued to calculate the styling based on the formula to know the feasibility of the teaching book. Memberchek, and reference material were used to describe the validity of the data. For data analysis techniques using content analysis. The results of the data were as follows. 1) the material feasibility of the teaching book Best Buddies English For Kindergarten (Book showed that it deserved to be, of the book content was 96%; the character or story figure was 62%, and Illustrations or drawings were 80%. 2) The feasibility of presenting the teaching book Best Buddies English For Kindergarten (Book showed a very receivable use 87%.