Reviewerly/exHarmony huggingface dataset:
Integration role of information technologies in knowledge transfer

The article examines the importance of introducing information technology into the education system, the impact of information technology on the quality of education.&#x0D; The creation and use of electronic textbooks in the learning process is recommended. This is important in a situation of insufficient provision of educational and methodological literature, as well as a way to resolve the contradiction between the desire to cover as much demonstration material as possible and practical. Since it takes time and some skill to master the specialized programming environment, e-tutorials can be created in a well-studied presentation preparation program.&#x0D; The use of software products based on the concept of “electronic patient” is emphasized.&#x0D; The article calls for the acquisition of knowledge, professional skills and abilities, and practical skills are not so much therapeutic and diagnostic manipulations as mastered methods of productive mental activity that provide correct, quick and economical diagnosis and effective treatment.&#x0D; The article will be useful to students, university professors, staff, and management personnel of the education system.
ESTIMATION OF THE NUMBER OF SUMMANDS OF THE CENTRAL LIMIT THEOREM

The problem of estimating the number of summands of random variables for a total normal distribution law or a sample average with a normal distribution is investigated. The Central limit theorem allows us to solve many complex applied problems using the developed mathematical apparatus of the normal probability distribution. Otherwise, we would have to operate with convolutions of distributions that are explicitly calculated in rare cases. The purpose of this paper is to theoretically estimate the number of terms of the Central limit theorem necessary for the sum or sample average to have a normal probability distribution law. The article proves two theorems and two consequences of them. The method of characteristic functions is used to prove theorems. The first theorem States the conditions under which the average sample of independent terms will have a normal distribution law with a given accuracy. The corollary of the first theorem determines the normal distribution for the sum of independent random variables under the conditions of theorem 1. The second theorem defines the normal distribution conditions for the average sample of independent random variables whose mathematical expectations fall in the same interval, and whose variances also fall in the same interval. The corollary of the second theorem determines the normal distribution for the sum of independent random variables under the conditions of theorem 2. According to the formula relations proved in theorem 1, a table of the required number of terms in the Central limit theorem is calculated to ensure the specified accuracy of approximation of the distribution of the values of the sample average to the normal distribution law. A graph of this dependence is constructed. The dependence is well approximated by a polynomial of the sixth degree. The relations and proved theorems obtained in the article are simple, from the point of view of calculations, and allow controlling the testing process for evaluating students ' knowledge. They make it possible to determine the number of experts when making collective decisions in the economy and organizational management systems, to conduct optimal selective quality control of products, to carry out the necessary number of observations and reasonable diagnostics in medicine.
The impact of the expansion of virtual currencies (Bitcoin) on the amount of formal money demand (the country's money, rial) via CIA Model

The impact of the expansion of virtual currencies (Bitcoin) on the amount of formal money demand (the country's money, rial) via CIA Model
Greenfly Aphid Swarm Optimization Algorithm

A new metaheuristic swarm intelligence optimization technique, called general greenfly aphid swarm optimization algorithm, which is proposed by enhancing the performance of swarm optimization through cockroach swarm optimization algorithm. The performance of 23 benchmark functions is tested and compared with widely used algorithms, including particle swarm optimization algorithm, cockroach swarm optimization and grasshopper optimization algorithm. Numerical experiments show that the greenfly aphid swarm optimization algorithm outperforms its counterparts. Besides, to demonstrate the practical impact of the proposed algorithm, two classic engineering design problems, namely, pressure vessel design problem and himmelblau’s optimization problem, are also considered and the proposed greenfly aphid swarm optimization algorithm is shown to be competitive in those applications.
Robust P2P Primitives Using {SGX} Enclaves

Peer-to-peer (P2P) systems such as BitTorrent and Bitcoin are susceptible to serious attacks from byzantine nodes that join as peers. Due to well-known impossibility results for designing P2P primitives in unrestricted byzantine settings, research has explored many adversarial models with additional assumptions, ranging from mild (such as pre-established PKI) to strong (such as the existence of common random coins). One such widely-studied model is the general-omission model, which yields simple protocols with good efficiency, but has been considered impractical or unrealizable since it artificially limits the adversary only to omitting messages.In this work, we study the setting of a synchronous network wherein peer nodes have CPUs equipped with a recent trusted computing mechanism called Intel SGX. In this model, we observe that the byzantine adversary reduces to the adversary in the general-omission model. As a first result, we show that by leveraging SGX features, we eliminate any source of advantage for a byzantine adversary beyond that gained by omitting messages, making the general-omission model realizable. Our evaluation of 1000 nodes running on 40 DeterLab machines confirms theoretical efficiency claim.
Holography in the visual arts practice: research and production

My research has been about the aesthetics of light, as an entity in itself, and how the viewer interacts with it; holography is one of the media that I have used in this process. For example, in "Specific Light Objects" installation, the viewer is allowed to immerse itself in an experience where visual and sound sensations are intermingled in the exploration of the holographic image, and invite the self-knowledge of the relativity of our perception and consequently of the vision of our cognitive universe. The dialogue of holography with other media is adequate to the demands of contemporary art, in the form of multimedia hybrids, and in the form of installations, in which the holographic work constitutes one more element of the whole. Developments in production techniques of pulsed holograms and holographic stereograms have combined to provide high-quality three-dimensional illusions and movement. Currently considering the new era of holographic image and the creation of digital holograms, where image systems are being developed to capture dimensional content and also possible software to edit it, in this paper we are analysing the creative process and experimental techniques of holographic image from the point of view of the visual arts.
Machine Learning based Optimization Scheme for Detection of Spam and Malware Propagation in Twitter

Social networking sites are new generation of webservices providing global community of users in an online environment.Twitter is one of such popular social networks having more than 152 million daily active users making a half billions of tweets per day.Owing to its immense popularity, the accounts of legitimate Twitter users are always at a risk from spammers and hackers.Spam and Malware are the most affecting threats reported on the Twitter platform.To preserve the privacy and ensure data safety for online Twitter community, it is necessary develop a framework to safeguard their accounts from such malicious attackers.Machine Learning is recently matured and widely used technique useful to prevent the propagation of such malicious activities in social media.However, the Machine Learning based techniques have yielded a promising result in filtering the undesired contents from the user tweets but its efficiency always remains restricted within the technological limits of the technique used.To devise a more efficient model to detect propagation of spam and malware in the Twitter, this research has proposed a Machine Learning based optimization scheme based on hybrid similarity (Cosine and Jaccard) measured in conjunction with Genetic Algorithm (GA) and Artificial Neural Network (ANN).The Cosine with Jaccard in hybridization has been applied on the Twitter dataset to identify the tweets containing spam and malware.In conjunction to it the GA has been used to enhance the training rate and reduce training error by automatically selecting the designed fitness function while the ANN was applied to classify malicious tweets from through voting rule.The simulation experiments were conducted to compute the precision rate, recall, F-measures.The results of Machine Learning based optimization scheme proposed in this research were compared with the existing stateof-arts techniques already available in this regime.The comparative study reveals that the model proposed in this research is faster and more precise then the existing models.
The Impact of Internal Marketing on The Development of Employees’ Performance in The Egyptian Tourism Companies

The study aims to determine the impact of internal marketing practices (training - incentives and rewards - communication - empowerment - clarity of role) in developing the performance of workers in Egyptian tourism companies. The practical study was conducted on a random sample of employees of Egyptian tourism companies Category (A). a questionnaire was used to collect data, and the questionnaire was analyzed with the statistical program (SPSS V.22). The most important findings of the study are that internal marketing has a positive effect on employee performance. Finally, the study recommends that tourism companies pay attention to apply internal marketing in all its dimensions and evaluate employees' performance continuously by developing an effective evaluation system.
Rancang Bangun Elektronik Voting Pemilihan Kepala Desa Cijati Berbasis Website Menggunakan Algoritma Base 64

In making this research report using a prototype development method. With this method, the development stage begins with a needs analysis carried out through observation and interviews with related parties. The next step is to build a prototype, evaluate the provisional design, design and coding of the system, evaluate the final stage and implement the system. With this research, a website-based village head election system was produced which was built using the PHP language and the Codeigniter framework with the MySql database. The purpose of this research is to build a website for the election of village heads which is expected to help the committee's performance and make it easier for the public to make the election process faster, safer, more open, and remain confidential.
EFFECT OF LEARNING METHODS ASSISTED BY SAS (SYNTHETIC ANALYTICAL STRUCTURES) WITH LETTER CARD MEDIA ON PARTICIPANTS' BEGINNING READING ABILITY STUDENTS AT PRIMARY SCHOOL 49 BANDA ACEH

The research objective was to determine the effect of the SAS (Synthetic Analytical Structure) learning method assisted by letter card media on students' initial reading skills at Primary School 49 Banda Aceh on the theme of clean and healthy life in school. This research was conducted by pre-experimental method with one group pretest-posttest design which was held at Primary School 49 Banda Aceh, in the odd semester of the 2018/2019 academic year. The sample in this study were students of grade II Primary School 49 Banda Aceh with a total of 28 students. Data collection was carried out by giving students pre-test reading questions in the form of command questions as many as 10 pre-test questions and 10 post-test questions. A normality test is done to see the normality of the data and showed that the data were normally distributed with an average value calculated &lt; table (3.8597 &lt;11.07). Based on the results of the study, it can be concluded that there is an effect of the use of the SAS learning method assisted by card media on the improvement of students' initial reading skills at Primary School 49 Banda Aceh with a value of tcount &gt; ttable (10.147&gt; 1.703), while in the test the increase in N-Gain is a high category. Percentage 57.14%, and 42.86% medium category. The conclusion is that there is an increase in the beginning reading ability of students who are taught using the SAS method aided by letter card media.
NVU Libraries Research Guides: Best Practices for Creating Research Guides at NVU Libraries: Welcome

This guide offers tips and a template for creating libguides for NVU Libraries, with the specific intent to make all libguides accessible to every student.
Interface Data Sistem ERP SAP Dan Aplikasi Android Di Server Hosting Menggunakan Flat File (Studi Kasus: Aplikasi Mobile Populasi Sapi Pada PT. Great Giant Livestock)

PT Great Giant Livestock is the third largest cattle feedlot in Indonesia, located in Terbanggi Besar, Lampung Tengah.Currently there are several systems at PT Great Giant Livestock.Some of them are the SAP ERP System and the Android Mobile Application on the Hosting Server.The above systems run independently, using separate databases.Due to the PT Great Giant Livestock's SAP ERP system being used, it doesn't allow other systems to read directly into its database.Where, by policy, no mutual access to the database.The aim of this research is to enable two systems to share information with each other.The data collection technique used in this study is interviews.Data sources were obtained from the IS&T Head of PT Great Giant Livestock.This cattle population android application was built using the extreme programming development method and to get the data using the flat file method.The results of this study are in the form of a cow population android application that applies the flat file method to get data from the ERP SAP server which is displayed in the android application.
Optimization of Feature Set for Sentiment Analysis using Artificial Butterfly Algorithm and Ensemble Machine Learning

The current decade has witnessed the remarkable developments in the field of artificial intelligence, and the revolution of deep learning has transformed the whole artificial intelligence industry. Eventually, deep learning techniques have become essential components of any model in today’s computational world. Nevertheless, ensemble learning techniques promise a high degree of automation with generalized rule extraction for both text and sentiment classification tasks. This paper aims designed and implemented optimized feature matrix using ensemble learning used for sentiment classification and its applications.
THE PECULIARITIES OF PROVIDING PSYCHOTHERAPEUTIC ASSISTANCE TO INTERNALLY DISPLACED PERSONS AND ANTI-TERRORIST OPERATION PARTICIPANTS

The article aims to present the features of overcoming service member’s post-traumatic stress disorder, to analyze the dynamics of traumatic situations, to consider some theoretical issues of psychological assistance to persons with post-traumatic stress disorder, victims of hostilities, as well as to examine methods and stages of work during psychological rehabilitation. Psychological assessment was performed at all three stages. According to the results of the formative experiment, the introduced psychotherapeutic technologies - short-term psychotherapy, psychotherapy of opportunities, psychotherapy with the imaginative methodology - effectively contribute to overcoming post-traumatic stress disorder, neurotic symptoms, emotional instability and increase adaptability and IDPs and combatants. Analyzing the effectiveness of the introduced psychotherapeutic technologies, we came to the conclusion that short-term psychotherapy is the most effective and increases adaptability, self-confidence, resistance to stress factors and social influences. Opportunity psychotherapy is effective for emotional disturbances, feelings of guilt and other unconstructive feelings. Psychotherapy with the imaginative methodology successfully copes with trauma, post-traumatic stress disorder, by working with the imagination and inner personal resources. After application of the described psychotherapeutic technologies, IDPs and combatants showed decreased post-traumatic stress disorder, neurotisation, rigidity, irritability, aggressiveness, neuroticism, guilt, reactive aggression, emotional lability, physiological excitability, frustration, depression and increased neuropsychological stability, a tendency to self-control and moral normality. The study results can be used for practical implementation by psychologists.
Taxation in Qatar – An Abadi (Non-Finite) Vehicle for Economic Diversification?

In December 2018, Qatar introduced a package of tax reforms that represents a major move towards diversifying government revenue and achieving its vision of becoming an advanced country by 2030. This article argues that taxation is the most effective way to accelerate Qatar’s independence from gas revenues.
Comic Strips Toward Students’ Reading Comprehension Achievement

This study focuses on the investigation of the influence of teacher’s teaching technique on student’s reading comprehension achievement using comic strips media. In this study, the writer used a quasi-experimental design. The population of this study is tenth-grade students of SMAN 1 Buay Madang Timurwith 122 students, meanwhile, the writer used purposive sampling as a method for taking a sample. Therefore, class X.MIA 2 was chosen as an experimental group that is taught reading comprehension using comic strips and class X.IIS 2 as a control group who were taught reading comprehension using conventional media. Moreover, the writer used multiple-choice descriptive text. Based on the finding, the mean score of the pre-test experimental group was 50.97 and the mean score of the post-test experimental group was 78.84. While the mean score of the pre-test control group was 38.40 and the post-test score was 43.07 and the result of analyzing the data using SPSS 16, P output was 0.000, It is less than the critical value significance level (0.05). It means that alternative hypotheses (Ha) is accepted and null hypotheses (Ho) is rejected. It can be concluded that there is any significance between the students who are taught by using comic strips media and the students who are taught by using conventional media.
Keterlibatan Orang Tua Pada Aktivitas Literasi Di Rumah

Abstract Parental involvement is the key to children's success, including the success of children's literacy. The form of literacy involvement between parents and early childhood education units (PAUD) is shown by the activeness of parents in literacy programs that are aligned with activities at home. Childcare as a non-formal PAUD unit invites parents to optimize the intensity of involvement. During the pandemic, child care centers cannot operate normally so parents must be able to take care of children in conjunction with other jobs. This study is interested in how parents carry out literacy activities for children at home. The research subjects were 14 parents in child care centers who have children aged 4 to 6 years. Qualitative descriptive research method, data collection through interviews with results that explain that the involvement of parents in children's literacy activities at home still requires assistance from the teacher in developing types of literacy activities according to children's needs.
Formation of Management Teams of Educational Organizations

This article discusses the problems and prospects of introducing command administration into the management system of a modern educational organization, since this management context is the most promising for the current situation in the modern macro environment.The authors of the article conducted a study aimed at identifying the readiness of the teaching staff of schools for teamwork to implement strategic and tactical development plans.It is this trend that actualizes the increasing popularity of the creation of new pedagogical conditions and the use of pedagogical technologies, both offline and online.The authors understand a group of people connected by a common understanding of the mission, goals and management methods, capable of creating the best conditions for achieving high results for the entire group by a management team.The article analyzes the phenomenon of team-group work in general educational organizations, identifies the most significant management deficits and problems in the implementation of command management, and suggests mechanisms for their leveling.It is important to note that the authors of the article were interested not only in the substantive issues of command management, but also in the formation of the readiness of school teams to participate in the management of their educational organization.The article also considered aspects of partnership of all subjects of the educational process: students, parents, teachers, school administration, the public.The results of the research are interdisciplinary and are fully reflected in the conclusions and in the conclusion and are of interest for further statistical, pedagogical, psychological research, as well as research related to personnel management in educational organizations.
Penerapan Model Pembelajaran Mapping untuk Meningkatkan Hasil Belajar IPS Siswa Kelas IV SD Negeri 2 Winning Kabupaten Buton

The purpose of this study was to determine the application of mind mapping models in social studies learning for fourth grade students of SD Negeri 2 Winning, Buton Regency. This research is a type of classroom action research because researchers act directly in research. The research subjects were students in grade IV SDN 2 Winning in Buton Regency with a total of 25 students consisting of 11 male students and 14 female students. Data collection techniques using tests and observations. The research instrument used observation sheets and test questions or evaluation of learning outcomes. The data analysis technique was done in quantitative descriptive and qualitative descriptive. The results showed that before the application of the mind mapping learning model in social studies learning, obtained as many as 5 students (20%) completed and 20 students (80%) had not yet completed and the average grade of 60%. But after learning by applying mind mapping models in cycles I and II obtained data that student learning outcomes improved. The learning outcomes of the first cycle stated that as many as 13 students (52%) had finished and 12 students (48%) had not yet completed and the average grade of 70.24%. Then the results of the second cycle test showed that 22 students (88%) had finished and 3 students (12%) had not yet completed and the average grade of 81.44%. With the increase that occurs in students who have reached 88%, it is stated that the standard of success has reached 75% and is complete.