Reviewerly/exHarmony huggingface dataset:
AFFECTION AND REQUEST AS MEANS OF PSYCHOLOGICAL INFLUENCE IN SECONDARY SCHOOL HEADMASTERS’ MANAGEMENT

This article generalizes scientifically theoretical knowledge about management and its peculiarities, represents psychological mechanisms which an administrator uses to influence the staff, discovers the essence of psychological influence and its role in management activity, reveals the results of theoretical and empiric investigation of the means of psychological influence as an inseparable part of administrator’s psychological competence. It shows the peculiarities of usage of persuasion as one of the most effective and widely used means of psychological influence applied in management activity of the secondary school principal. An effective management is not possible without the use of psychological mechanisms of influence. They are inseparable and the most important factors in the structure of an administrative work. The problem of influence of a manager on the staff is now very relevant, for management is an interaction between those who directs and those who are directed. That is why it is evident that in the process of interaction different forms of influence take place constantly. It is important that the influence should be conscious and purposeful. For the effective influence on the activity of the staff a contemporary manager should have a profound understanding of the psychological bases of management, the ability to provide conditions which stimulate an effective collective work in an organization.&nbsp; There are a lot of different classifications of the means of psychological influence. But the results of theoretic&nbsp; and empiric investigation show that regardless of the age, social status and education differences the most effective means of psychological influence tend to be persuasion, suggestion, infection, affection and request. The main attention in the article is paid to one of the most liberal and democratic means of psychological influence – affection and request. The results of investigation represent its structure, mechanisms and techniques of its achievement. &nbsp
Infraestructura y acceso a tecnologías digitales como condicionantes de las prácticas pedagógicas de los profesores de Santa Bárbara, Honduras

Contemporary societies typically experience constant technological and social changes at a great speed and intensity. However, school environments do not always manage to adequately support and incorporate those changes, which may be reflected in their pedagogical practices. This gap in supporting and incorporating said changes may be due to various factors; however, despite of them, there have been some experiences of pedagogical practices with digital technologies carried out by teachers in Honduras to support those technological and social changes. This article analyzes and discusses the results of a master’s research in education, where peda­gogical practices with digital technologies were studied. The discussion is centered in one of its determining factors in order to understand how infrastructure and access to digital technologies condition the development of pedagogical practices by teachers from Santa Bárbara, Honduras. The research was qualitative in nature and used the case study method. Data analysis was made using the textual-discursive method. The results indicated that schools’ infrastructure, together with digital exclusion, make it difficult to implement digital technologies in pedagogical practices.
Artificial intelligence applications and Developing the Life Skills for Students with Special Needs: A future Look

The Present paper express the importance to make benefits from AI Applications and Intelligent Tutoring Programs to solve the problems of the Students with Special Needs (the deaf) such as hearing disabilities, including being accepted by others, providing them with basic skills in a good and appropriate way by using the ways and strategies they attract to the lesson topic and linking it to their Training on reading lips and language training on pronunciation, and hearing impaired people need to be continuously enhanced in its various forms and provide feedback, focus on the quality of educational experiences provided to them more than on the amount of information, teacher care and support, development of language communication skills that help them understand their subjects through the auditory training of the weak, training in manual communication, increasing the linguistic outcome of disabled students before they attend school, simplifying the topics that provide them with their own guidance and examples of their creativity lives, The paper also deals with life skills needed for students with auditory disabilities such as (language communication skill, social communication skill, personal skills, study skills and good intelligence skill in time management, skill in using technology, The present paper also reviews AI , Artificial Intelligence(A.I), Intelligent Tutoring programs can be employed with the deaf, presenting A future Look for employing Intelligent Tutoring programs by using Artificial Intelligence applications for developing the life skills for the deaf.
SISTEM INFORMASI PENDATAAN ANAK PANTI ASUHAN “RIANG” BERBASIS WEBSITE

Childcare Social Institution is a social welfare business institution that has the responsibility to provide social welfare services to neglected children by carrying out assistance and alleviation of neglected children, providing replacement services for parents / guardians of children in fulfilling physical, mental and social needs to foster children so as to obtain broad, appropriate and adequate opportunity for the development of his personality as expected as part of the future generation of the nation's ideals and as people who will actively participate in the field of national development.&#x0D; Data collection on orphanage children that are not properly implemented is one of the obstacles in checking the number of orphanage children who have not been in homes and who are still in the institution, with education levels, origin, how long they are in the orphanage and various information related to children House.&#x0D; The problem is how to design and build a system for collecting orphanage children. With the aim of building a website-based orphanage data collection information system. Which is useful for facilitating access to orphanage data, archiving data on orphanages that are more efficient, facilitating the processing of orphanage data.&#x0D; The results of this study are an information system for data collection of website-based "Riang" orphanage.
ANALISA METODE WEIGHTED SUM MODEL (WSM) PENERIMA KARTU INDONESIA PINTAR (KIP) KEPADA SISWA/I DI SD (SEKOLAH DASAR)

Indonesia Smart Card is a cash assistance from the government given to students whose parents are less able to finance their education. As a continuation and expansion of the objectives of the Poor Student Assistance (BSM) program. KIP has the goal of increasing access for children aged 6 (six) to 21 (twenty one years). In Primary School 091329 in the recipient of the Smart Indonesia Card faces many problems As students who are entitled to receive assistance actually do not receive. because of that there were protests and demonstrations caused by Kartu Indonesia Pintar which were not on target. The criteria for Indonesian card recipients are smart social protection card holders, parents' income, no vehicles, no dependents, orphans. In its implementation, it certainly has obstacles in deciding who students get the smart Indonesian card. To solve the problem, a weighted Sum Model (WSM) decision support system can overcome this problem. By applying the Weighted Sum Model (WSM) which is relatively easy and fast, it is believed to be able to get the best results. This research can provide information to the school in the recipient of the Indonesia Smart Card (KIP) for the following year. Keywords: SPK, Weighted Sum Model (WSM), Receiver of Smart Indonesia Cards
An Effective Approach for Online News Extraction and Summarization for a Single Phase

Online newspaper plays an important role for the development of world.But it consists of several types of labels, titles and links.As online newspapers are collection of variety of newspaper, it is often much more difficult to extract and summarize the news.To improve the accuracy a new algorithm is introduced here based on web extraction and summarization.Firstly, the news from newspapers are extracted which are related to the topic.If different types of news are found about the same topic then it has distinguished.Then a summarization-based algorithm has proposed to summarize the news.Basically, term frequency has used for summarization and evaluate it along with several newspapers' contents.Various forms of words are also compared such as Noun, Adjective, Adverb etc.So that the term frequency can be counted more accurately.It will be very helpful for a user who wants to find out very specific news from the newspapers.
A ReRAM-Based Row-Column-Oriented Memory Architecture for Convolutional Neural Networks

An efficient resistive random access memory (ReRAM) structure is developed for accelerating convolutional neural network (CNN) powered by the in-memory computation. A novel ReRAM cell circuit is designed with two-directional (2-D) accessibility. The entire memory system is organized as a 2-D array, in which specific memory cells can be identically accessed by both of column- and row-locality. For the in-memory computations of CNNs, only relevant cells in an identical sub-array are accessed by 2-D read-out operations, which is hardly implemented by conventional ReRAM cells. In this manner, the redundant access (column or row) of the conventional ReRAM structures is prevented to eliminated the unnecessary data movement when CNNs are processed in-memory. From the simulation results, the energy and bandwidth efficiency of the proposed memory structure are 1.4x and 5x of a state-of-the-art ReRAM architecture, respectively.
Socio-Cultural Cognitive Mapping to Identify Communities and Latent Networks

Deriving networks and communities from individual and group attributes is an important task in understanding social groups and relations. In this work we propose a novel methodology to derive networks and communities from socio-cultural data. Our methodology is based on socio-cultural cognitive mapping (SCM) and k-NN network modularity maximization (SCM + k-NN) that produces both a latent network and community assignments of entities based upon their socio-cultural and behavioral attributes. We apply this methodology to two real-world data sets and compare the community assignments by our methodology to those communities found by k-Means, Gaussian Mixture Models, and Affinity Propagation. We then analyze the latent networks that are created by SCM + k-NN to derive novel insight into the nature of the communities. The community assignments found by SCM + k-NN are comparable to those produced by current unsupervised machine learning techniques. Additionally, in contrast to current unsupervised machine learning techniques SCM + k-NN also produces a latent network that gives additional insight into community relationships.
Extraction of cause-effect-concept pair series from web documents

&lt;span&gt;This research aims to extract a cause-effect-concept pair series of consequent event occurrences in health information of hospital web-boards. The extracted cause-effect-concept pair series representing a disease causation pathway benefits for the automatic diagnosis and solving system. Where each causative/effect event concept is expressed by an elementary discourse unit (EDU which is a simple sentence). The research has three problems; how to determine causative/effect concept EDUs from the documents containing some EDU occurrences with both causative concepts and effect concepts, how to determine the cause-effect relation between two adjacent EDUs having the discourse cue ambiguity, and how to extract cause-effect-concept pair series mingled with either a stimulation relation EDU or other non-cause-effect relation EDUs from the documents. Therefore, we apply annotated NWordCo pairs with causative-effect concepts to represent EDU pairs with causative-effect concept where the NWordCo size solved by Naïve Bayes. We also apply Naïve Bayes to solve NWordCo-concept pairs having the cause-effect relation from the adjacent EDU pairs. We then propose using cue words and the collected NWordCo-concept pairs with the cause-effect relation to extract the cause-effect-concept pair series. The research results provide the high precision of the cause-effect-concept pair series determination from the documents. &lt;/span&gt;
Method for the Solution of Systems of Bit Equations Based on Branch-and-Bound Principle

Solution of systems of bit equations is an important task for the cryptography, theory of error-correction coding, information coding, robotechnics, astrophysics and other fields. In this paper we propose a method for the solution of bit equations based on the branch-and-bound methodology. The proposed methodology was already used by the authors for the solution of systems of nonlinear algebraic equations. The method can be applied not just for the systems of bit equations, but also for the equations over arbitrary finite Galois field GF(n). The important feature of proposed method is that it allows to find all solutions of system of bit equations for any combination of number of equations and number of variables. The algorithm for the implementation of the proposed method is given. The algorithm performs subsequent decreasing of the order of the system (i. e. number of variables). The proposed methodology is close to the method of Constrained Propagation which is used for the solution of the systems of nonlinear equations and global minimization tasks. Numerical examples demonstrating the application of the method to the solution of systems of quadratic bit equations is also shown. Different combinations of the number of variables and the number of equations are considered. It is shown that the method has advantage over the direct search approach for the solution of the system of bit equations
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN PENERIMA RASTRA (BERAS SEJAHTERA) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (STUDI KASUS DESA KARANG BANGUN)

Decision Support System (SPK) is a computer-based system that combines models and data in an effort to solve unstructured problems with user involvement through an easy-to-use user interface. This system is used to help decision making in semitructured situations and unstructured situations, where no one knows for sure how decisions should be made. Simple Additive Weighting method is one of the settlement methods for Multi attribute decision making (MADM) problems. This method evaluates several alternatives to a set of attributes or criteria, where each attribute does not depend on each other. Hope from the results of the study, the use of Simple Additive Weighting as a model of the Eligible Decision Support System for Rastra Assistance using the weighted product method in Karang Bangun Village, Siantar Subdistrict, Simalungun Regency can help the village in calculating the feasibility of rice recipients and to determine the eligibility of recipients of rice faster and more accurate. because this application is easier than the old system and the data storage is more accurate.Keywords: Decision Support Systems, Simple Additive Weighting, Rastra, Poor
Barium minerals – baritе and chlorinedominant ferrokinoshitalite bafe2+3[cl2/al2si2o10] in plagioperidotites Yoko-Dovyren intrusion (Northern Baikal region) – products of epigenetic low grad metamorphism

In the plagioperidotite of the ultamafite-mafic Yoko-Dovyren intrusion captured by low-grad metamorphism (NGM) under conditions of the prenite-pumpelliite facies (PPF), mobilization of Ba, Cl and Sr is observed The content of barium in plagioperidotite ranges from 36 to 313 (an average of 130 g / t); strontium from 25 to 169 (an average of 86 g / t); Ba / Sr value varies from 0.5 to 4 (on average 1.5). Barium minerals phlogopite and plagioclase; chlorine chloroferrisadanagite from inclusions in alumochromite, late-magmatic phlogopite, potassium chlorate ferropargassite and chlorapatite in the margins of sulphide nests. During the NGM processes, these minerals were replaced by chlorites, tremolite, diopside, which included very little Ba and Cl. In the areas of barium minerals development, plagioperidotites contain 348518 g/t of barium and 46 g/t of strontium, which indicates the redistribution of Ba and the removal of Sr. Metamorphogenic barium minerals non-strontium barite and Ba-Fe-Cl mica chloro-dominant ferrokinochitalit. They coexist with the minerals of the rodingite association hydrogarnet, tremolite, diopside, chlorite, antigorite, magnetite, hydroxylapatite. Ferrokosnoshitalit replaces phlogopite, plagioclase, sulfides, contains up to 21 wt. % BaO, 31% FeO, 11% Cl and has a iron index of f = 75.890.5. The composition of the most chlorine-rich individual responds (Ba0.83K0.16)0.99(Fe2+2.63Mg0.28Fe3+0.04Al0.02Cr0.01Mn0.01)3[(Cl1.86OH0.12S0.02)2/Al1.86Si2.14O10]. Since Yoko-Dovyrenskiy ferrokynosalital is chlordominant, this is a new mineral species.
Implementation of a Monitoring System in the Educational Process in Primary Schoo

The purpose of this study is to explore how primary school teachers perceive the practice of implementing monitoring support on the basis of autonomous monitoring groups by educational level, and what factors have a decisive influence on their positive or negative perception of the above approach to assessing educator/student effectiveness. Several tools were used to collect the data, including: classroom observations, lesson checklists (evaluation forms), lesson plans evaluation forms, interviews for teachers and parents, focus group survey questionnaires. The quantitative data were analysed and consolidated in tables, represented as row percentages, and calculated using the Chi-Square statistical method. In addition, the data comparison strategy, triangulation of data sources, and study validation method were used. The Textalyzer web tool was used to process the data obtained through the focus group survey. Focus group teachers spoke positively about the format and content of the project. The majority of the teachers who had formed the experimental group reported improvements in self-organization and self-discipline, flexibility in problem-solving, teamwork skills, and improved learning process engagement and learning outcomes of their pupils. The study illustrated the initial stage of implementation of a monitoring system in the educational process by primary school teachers in Ukraine. The research conditions, constraints and contextual factors that influenced teachersâ€™ perception of this innovation were identified. This monitoring system helps to optimize the quality of education in primary school. Teachers reported that by participating in the project, they upgraded their professional skills, improved both their pedagogical mastery and self-study skills, increased their self-esteem and motivation. The colleaguesâ€™ and headteachersâ€™ feedback and criticism are often perceived as discouraging factors. The results of the study can be regarded as a baseline due to several limitations, which include a number of participants, potential bias in school choice and limited availability for observation. https://doi.org/10.26803/ijlter.18.11.14
Directive on certain aspects concerning contracts for the supply of digital content and digital services &amp; the EU data protection legal framework: are worlds colliding?

This Paper will address the interplay between the Directive on certain aspects concerning contracts for the supply of digital content and digital services and the current EU data protection framework, namely the General Data Protection Regulation. Albeit the Directive has the aim of protecting consumers, has it gone too far and made a crack in the data protection EU legal framework? Can personal data be treated as a commodity or is its scope as a counter-performance subject to a particular interpretation? I shall analyze these questions in light of the European Data Protection Supervisor’s Opinion 4/2017 and the European Data Protection Board’s Guidelines 2/2019.
Conditions Determining Simultaneous Teacher Training At The University

The goal of the research is identification of effective organizational and educational conditions of bachelors preparation for work at school. The problem of the research is that traditional organizational and educational conditions of the university baccalaureate are aimed at the preparation of qualified specialists in the areas of mathematics, physics, chemistry, biology, foreign languages etc. rather than teachers who teach the above-mentioned subjects. The research methodology is based on the core competence of Dr. Gary P. Hamel. It was established that for effective preparation of teachers at the university it is necessary to implement the following organizational and pedagogical conditions: the development of the problems’ matrix, the design of simultaneous professional retraining standard, implementation of classical and informational-communicational education models. The comparative study of bachelor students readiness to work at school after professional retraining indicated the consistent growth in both biology students and physics students (an average growth was approximately 50%: from 30% to 85%).
Correction to ‘A probabilistic metric for the validation of computational models’

[This corrects the article DOI: 10.1098/rsos.180687.].
Detection of partially overlapped masses in mammograms

&lt;span&gt;Breast cancer remains one of the major causes of cancer deaths among women. For decades, screening mammography has been one of the most common methods for early cancer detection and diagnosis. Digital mammography images are created by applying a small burst of x-rays that pass through the breast to a solid-state detector, which transmits the electronic signals to a computer to form a digital image. However, due to projection, some mass areas may be partially covered, which makes them difficult to be interprated. This paper addresses the issue of potential mass regions being distorted by other normal breast tissues, which will negatively affect some of the features being extracted from the mass and in turn deteriorate the classification accuracy. The goal was to estimate the overlapped parts of the mass border using Euclidean distance in order to give more accurate results in next stages. The presented method achieved 95.744% region sensitivity at 0.333 False Positive per Image (FPI), outperforming other researches in this branch of mammography analysis.&lt;/span&gt;
SISTEM INFORMASI AUDIT MUTU INTERNAL (SI AMI) PERGURUAN TINGGI MENGGUNAKAN METODE USER CENTERED LEARNING

The purpose of this study is to implement the User Centered Learning (UCD) method in building a Higher Education Internal Quality Audit Information System (SIAMI). There are two test scenarios that have been carried out in this research, namely: black box testing and measuring the level of satisfaction with the system using a questionnaire. Black box testing is done by testing all the function features in the system and the system results in 95% functioning properly. As for testing the level of user satisfaction with the system shows that SIAMI with UCD method can be used because it has a satisfaction level of 87%.