Reviewerly/exHarmony huggingface dataset:
A RETROSPECTIVE VIEW ON THE PROBLEM OF TUTOR SUPPORT FORMATION OF MORAL EDUCATION OF STUDENTS AS A SPECIAL FORM OF MENTORING

In modern science, it is important to consider the mentoring system as the most effective way to use the human resources of the organization to solve strategic problems. The article considers the historical aspect of the emergence of mentoring as a method of transfer of experience, which was used for the moral education of children and youth. It is emphasized that mentoring is a centuries-old tradition, characteristic of all countries and as a social phenomenon inherent in all periods of human development. Its content is the transfer of a number of moral, intellectual, sometimes physical and material qualities. Mentor is a person who has some experience and knowledge, a high level of communication; seeks to help his students gain the experience necessary for self-improvement. The professionalism and experience of the mentors are joined by personal qualities: the ability to speak, listen, and interact. The work traces the formation of tutoring as a special form of mentoring, describes the prerequisites for its emergence and the degree of its relevance in our time. Born together with the first European universities, the modern institute of tutoring preserved and multiplied the norms, traditions and rules of mentoring of medieval universities; the author argues that tutoring and moral mentoring have the same roots. That is, tutoring appeared in classical English universities based on mentoring. The author emphasizes the need to modernize the modern education system of Ukraine in order to solve the problems of spiritual and moral development of the individual. The introduction of new strategies, in particular, tutoring, should be the key to solving the problems of the modern education system.&nbsp;&nbsp
Example: Knock-Knock!

Thus far in the book, we’ve discovered how to write code for Arduino and Python (on the Raspberry Pi) for projects that use the Qwiic and STEMMA/QT modules. Recall the simple wiring mechanism to connect those modules to your host board.
Data-Driven Anomaly Detection Based on Multi-Sensor Data Fusion

In the age of IoT, a huge amount of real time data is produced every second from the colossal number and different types of sensors deployed. A generic and intelligent method to monitor these large data streams from a wide range of sources without human supervision or the use of expert knowledge is a big challenge. In this paper we propose, develop, and test a generic method for anomaly detection which is completely data-driven without human supervision. The proposed method is able to detect the underlying correlations amongst multiple sensors and detect the data patterns from all correlated sensor data through time. Anomalies are detected from marginal deviations from the normal identified patterns. The proposed method is applied to Building Management System&#x2019;s data which include various types of sensors and proves the generality of the proposed method.
The Joystick and the Stepper Motor

In this chapter, we will look at a simple joystick module and a small stepper motor. The joystick program will use two analog inputs to the PIC and output the results to the LCD showing the position of the joystick in the x and y axes. This means we will investigate the use of the ADC and how to control an LCD display.
An Analysis of Macroeconomic Characteristics of 137 Countries

This paper uses a systems-based analysis across 137 countries over the period 2002~2017 to identify if there are macroeconomic characteristics that discern low, middle- and high-income countries and countries ranked by GDP per capita quartiles. The analysis identifies defining characteristics for countries with low and high incomes but the results are not definitive for the middle-income countries, even when divided into upper middle and lower middle-income countries. There is broad consistency between the results for countries ranked by income and ranked by GDP, indicating that growth in GDP per capita translates into income per capita. The results have implications for the development of low-income countries to raise their income profile.
Efficient Cost Optimization using Transportation Mechanisms for Cloud Computing Environment

Efficient computations are increasing now a day, so their need is very high in the world. Infrastructure and computation techniques are not as much as efficient in conventionally or in present scenario, therefore the cloud computing is new to deal this type of problems. Sequencing of hardware and software technologies, for giving scalable and low cost computational understandings in cloud computing. The major focus of this research is to diminish the transportation cost of resource allocation along with various virtual machines in cloud computing environment. In this research paper, implementation of Vogel's Approximation Method (VAM) to obtain an Initial Basic Feasible Solution (IBFS) and an algorithm to optimize the cost of resource transportations for cloud service provider (CSP) as well as present an example also to understand the proposed method for total supply values and total demand values. Although the calculation of cost reduction until the iteration still has a non-negative values, and the calculation is done again until the last iteration. A comparison has been shown the cost of the proposed mechanism is much less from other technique.
Promoting Peace and Culture in Nigerian Through theuse of Music Education

Tracing the history of education in Nigerian higher Institutions presents series of student’s unrest, riots, cultism, and violence, vandalisation of school’s properties in reaction to inadequacies and neglect of certain vital elements needed for the smooth running of educational programmes. Music as an art that attracts students of all ages and levels is a cultural ingredient that can be used to create a calm and quiet state that is free from conflict and violence. This paper examined the concept of peace culture and music education. It also highlighted the roles that music education can play in promoting peace culture in the higher education institutions in Nigeria. The significance of this paper is to justify the efficacy of music in reducing violence in higher institutions in Nigeria and to enlighten the populace on the humanistic and aesthetic quality of music education. This will educate and sensitize curriculum planners towards inclusion of music learning education in all levels of education. This paper also exposes students to the benefit of skill acquisition and other values that are inherent in music which could equip them for future purpose. This work will be of benefit to music educators in alerting them on the significance and importance of their work to the humanity.
IMPLEMENTASI DATA MINING MENGGUNAKAN METODE ALGORITMA APRIORI PADA TOKO DHURROH ELEKTRONIK

In the business world, every store must of course be able to compete and think about how the store can continue to grow and be able to expand its business scale. In order to increase sales of products sold, business actors must have various strategies. One way is by utilizing all sales transaction data that has occurred in the store itself. Dhurroh Elektronik store is a store that sells various kinds of goods such as cellphone accessories. Management of sales data in this store is still done manually, namely by recording sales data in the sales book or sometimes when serving purchases just remembering it. The obstacle faced is that it is difficult to find out where the goods are not in accordance with the behavior of consumers' habits in buying goods at the same time. Based on the above problems, it is necessary to have a calculation to group data items based on their tendencies that appear together in a transaction with Data Mining calculations using the Apriori Algorithm method. The results of the calculation of the items that are most in-demand are if you buy a headset, you will buy a lamp with a 100% confidence value and 19% support, if you buy a radio you will buy a lamp with a 71% confidence value and 16% support, if you buy a data cable, you will buy a flashlight. with a 71% Confidence value and 16% Support, If you buy a battery, you will buy a Flashlight with a 71% Confidence value and 16% Support. Keywords: Data Mining, Apriori Algorithm..
Data Mining Technology Based on Machine Learning Algorithm

Our innovation Data Mining Technology Based on Machine Learning Algorithm is a homegrown society has gained extraordinary headway and different advancements and ideas have been applied and grown persistently. The development is a Machine learning calculation is a clever calculation which assumes an extraordinary part in varying backgrounds and a Machine learning is a course of personal growth utilizing the actual framework and ML-based PC projects can consequently further develop execution with the amassing of involvement. The innovation is a PC can separate components from numerous information and find multi-facets stowed away guidelines so AI has been broadly utilized in information mining and the utilization of AI calculation in information mining is concentrated exhaustively. The outside terminal of GSM network is situated successfully and a three-stage situating calculation is proposed which enormously advances the situating pace and precision. The development is a Data mining has been broadly utilized in the business field and AI can perform information investigation and example revelation consequently assuming a key part in information mining application.
REFLECTIVE TEACHING IN THE ENGLISH CLASSROOM

The article is devoted to the issues of reflective teaching used to improve the results of teaching English. The reflective models of foreign researchers such as “ERA Cycle” by M. Jasper, “What Model” by J. Driscoll, and T. Borton, “Experiential Learning Cycle” be D. Kolb, “Reflective Cycle” by G. Gibb are highlighted. The reflective models are presented as the cycles the stages of which are mostly determined as analysis, reflection, assessment or self-assessment and changes in methodological strategies and tactics in order to improve teaching. The authors refer to the ideas of Terry Heick and Dana Di Pardo Léon-Henri to define the perspectives of reflecting teaching in the English classroom. The features of the implementation of the reflective approach through the appropriate organization of the educational process aimed at the formation and development of students’ professional skills and abilities are determined. The advantages and peculiarities of using reflective models in the educational process are considered to provide the teacher with a certain selection of actions that will motivate students to learn English, adapt educational material to current reality, and develop critical and creative thinking. As one of the tools of implementation of reflective practice a language portfolio is presented which is a set of student’s works completed by him and collected over a certain period of time to create a true picture of his progress in learning English. Reflective practice, on the one hand, helps the student realize his level of knowledge, and on the other hand, encourages the teacher to reflect on his teaching strategy, analyze the chosen methods, evaluate the process of teaching and improve his teaching activities in order to achieve the goals of teaching and get the expected results. The given analysis proves that reflective teaching practice assists the teachers to acquire both professional growth and personal development.
Orthogonal Dual Graph Regularized Nonnegative Matrix Factorization

Nonnegative matrix factorization (NMF) is a classical low-rank approximation method of data matrix, which decomposes a high-dimensional data matrix into two nonnegative low-rank matrices, namely basis matrix and coefficient matrix. In order to capture the local geometric structure of original dataset, manifold learning methods are incorporated into NMF framework. Motivated by recent progress in dual graph regularization, by considering the geometric structures of both the data manifold and the feature manifold, Orthogonal Dual-graph NMF (ODNMF) algorithms were proposed, which imposed orthogonality constraints on basis matrix or coefficient matrix. Since the projection directions were mutually orthogonal, the representation power of data samples was enhanced, thus ODNMF methods are more robust for data clustering. The extensive experimental results on UCI, text and face image data sets have demonstrated the superiority of the proposed methods.
Game Edukasi Database, Algorithm and Network Dalam Tiga Bahasa Berbasis Android

This research aims to design a dalnet educational game with the adventure genre that can assist students in understanding database, algorithm and network subject matter. As a learning medium to increase interest in learning in informatics engineering students and information systems. In this game, the score is used as the output of the game. The results showed that the application of database, algorithm and network educational games in three languages that got the results of the feasibility test of the system and game testing designed by 88.3%. In addition no specific smartphone specifications are used.
Η Ιστορική εξέλιξη της ασαφούς λογικής από τον Ηράκλειτο και τον Αριστοτέλη στον Επίκουρο και τον Ζadeh. Πως θεμελιώθηκε και καταξιώθηκε στο πέρασμα των αιώνων και πόσο έχει επηρεάσει τον κόσμο της επιστήμης και της τεχνολογίας

Logic has always been of great interest even before it became a science. Logic is the procedure with which we connect elements in order to export a conclusion. The first to use the term “logic” was Heraclitus, who believed that the meaning of life is the constant change and the internal movement. Nature, according to the philosopher, is a battlefield where everything changes and nothing remains the same. The world is like fire, the most variable element, had always been and will always be incorruptible. The contrasts we face in the world do not cancel its unity. On the contrary, when we face contrast there is also unity, when we reach disconnection there is also continuity, where we find evil we can find good too.Two hundred years later comes Aristotle, who also believed that we leave in a world full of contrasts, expressing the two valued logic that is: a fact A is either True or False. This theory of Aristotel’s has influenced not only the philosophy and the science of Ancient Greece, but also the Arabic and European world. From 1200 to 1600 Aristotel’s logic was revived thanks to Thomas Akinatis.Modern logic begins at 1849 by Leibnitz, gives its place to the Algebraic period where the notorious G.Boole sets the foundations of the Computer Science, reaches the logicians Frege and Russel where numbers are logic objects and their definition presupposes a proof of their existence and finally ends up to Lotfy Zadeh and his theory of fuzzy logic.For Zadeh every preposition is true up to a degree of participation between 0 and 1. Fuzzy logic is a extension of classic logic, which is expended in order to give degrees of truth, between Truth – False, in a proposition. That is: a proposition can be true in a degree, just like human logic operates. Zadeh issued the theory of fuzzy sets defines that a fuzzy set is an extension of a classic one so that the low of contradiction can exist.The applications of the theory of fuzzy logic can be seen in a vast amount of scientific fields such as clinical medicine, constructions, economics, industry, artificial intelligence. The new type of logic will soon dominate even more and perhaps make true the dream of really smart machines.
64. IDENTIFYING PSYCHIATRIC AND METABOLIC GENETIC COMPONENTS OF ANOREXIA NERVOSA THROUGH PATHWAY POLYGENIC RISK SCORES

Recently, the use of VR contents is widely spread in various fields, such as not only entertainment but also education, training systems and housing design. In the field of VR research, there are many studies focusing on the five human senses for the purpose of improving the sense of reality. Most of them are related to vision which includes techniques for making adjustments that take into account different factors for each user, such as adjusting the interpupillary distance and adjusting the viewing angle. On the other hand, some of them focuses on sound such as virtual surround system. In virtual surround technology, it is possible to create a highly realistic sound in which the sound can be felt from all directions. However, since there are individual differences in sound changes according to the shape of the head and auricle, sound recognition depends on the characteristics of the users. In order to improve the 3D surround performance, it is necessary to adjust the location of the virtual sound source according to the individual differences. Therefore, in this paper, we focus on virtual surround technology and analyze the state of brain activity during sound direction recognition in the prefrontal cortex.
A Novel Framework for Anomaly Detection in Video Surveillance using Convolutional LSTM

Today, due to public safety requirements, surveillance systems have gained increased attention. Video data processing technologies such as the identification of activity [1], object tracking [2], crowd counting [3], and the detection of anomalies [ 4] have therefore been rapidly developing. In this study, we establish an unattended method for the detection of anomaly events in videos based on a ConvLSTM encoder-decoder to learn about the evolution of spatial characteristics. Our model only covers typical video events during preparation, whereas in testing the videos are both usual and abnormal. Experiments on the UCSD datasets confirm the validity of the suggested approach to abnormal event detection.
Color Blind Test Using Ishihara Method for Mercu Buana University Prospective Students Selection

Mercu Buana University is a private university which consists of seven faculties. At the Faculty of Design and Creative Arts, Faculty of Communication Sciences and Faculty of Engineering, additional requirements are required for new student candidates, i.e. a color blindness free certificate. Color blindness is a vision disorder caused by the inability of the eye cone cells to perceive a certain spectrum of colors. There are many ways to test someone's color blindness, one of which is by using the Ishihara method. To obtain a color blindness free certificate, prospective students must visit a clinic or hospital, carry out the applicable color blind test procedure, then bring the results to campus. Based on these problems, the research was conducted with the aim of making a color blind test application that can issue a recommendation letter based on the test results of prospective new students. The system development method uses System Development Life Cycle. The results of the study were an android-based color blind test application that was able to detect color blindness using the Ishihara method and issued a recommendation letter based on the test results of prospective new students in the on-time application.
Modernize Monolithic Applications to Cloud Native

So far, I have explained various cloud-native architectures such as microservices, event-driven, and serverless. These architecture concepts can be used for both greenfield and brownfield projects.
The Effect of Utilizing Proleptic Teaching for Enhancing Rhetorical Features of Writing and Reducing Writing Anxiety of Iraqi EFL Learners

This paper reports a study which investigated the effect of proleptic teaching to enhance writing rhetorical feature and reduce writing anxiety. This study is experimental research design with randomized control group design. The total number of participants was 87 learners who were in two different groups: experimental group and control group. There were 43 learners in the experimental group and 44 learners in the control group. The result of the pre-test showed that both the experimental group and the control group were equal and homogenous. Since the statistical computation yielded significant value p = 0.890 which was higher than α =0.05. The analysis of writing test in post-test yielded p= .027 which was smaller than α = 0.05. Thus, it can be concluded that proleptic teaching can significantly improve the learners’ writing achievement and reduce writing anxiety.
Using a Semiotic Approach to the Practice of Sound Design

Sound design research methods can vary considerably depending on the nature of the field of practice. A semiotic method provides a valuable approach to sound design in that it accounts for the individual differences in interpretation of sound stimuli, and is one which can be applied to a range of sound usages such as film and television, interactive, auditory display and product sound design. At its heart is a fundamental belief that there are building blocks of thought and perception which shape our ability to make meaning from any sign, including sounds.
Paradigm shift in banking governance in the light of the digital transformation: a dual impact disciplinary and cognitive

For nearly four decades, we have been witnessing the development of the concept of corporate governance. This concept has evolved considerably since its appearance because of its multidisciplinary nature and the high diversity of its theoretical grids. There are two main theoretical approaches. The disciplinary and the cognitive approaches.Given the challenges and opportunities of digital transformation, and its inevitable impact on the bank's business model, it is natural that it also impacts on its governance. This impact can be analysed from the two dimensions of governance. First, a cognitive dimension, which concerns all the players in the governance system, particularly the board of directors. Then, a disciplinary dimension dictated by the radical transformation of the confidence relations (Board of Directors / managers) established by the blockchain technology which could call into question the notion of opportunism advocated by the agency theory as the basis of the disciplinary approach of governance.In this paper, we will explore from an unprecedented analysis the impact of digital transformation on banking governance. This analysis will focus on the two dimensions of governance: disciplinary and cognitive. Finally, an empirical study will be presented on the digital transformation at the level of Moroccan banks which refers to the cognitive aspects of governance.
The Effect of Image Media to Improve Essay Writing Descriptions Ability by Seventh Grade Students of SMP N 1 Paranginan in Academic Year 2018/2019.: The Effect of Image Media to Improve Essay Writing Descriptions Ability by Seventh Grade Students of SMP N 1 Paranginan in Academic Year 2018/2019.

This study aims to determine the Effect of  Image Media to Improve Essay Writing Descriptions Ability  by Seventh Grade Students of  SMP N 1 Paranginan with the total  175 students. The sampling uses a random sample technique, in  class VII-A with a total of 30 students. The method use in this study is experimental method with one group pre-test  and post-test design. The instrument is used Essay test. From the data processing the results of the pre-test were obtained with an average is  65, standard deviation = 6.94. Average post-test results = 77.66 and standard deviation = 8.17. From the test data the results of the pre-test and post-test obtained both results were normally distributed. Homogeneity test found that the sample of this study came from a homogeneous population. After the normality and homogeneity test, the value is 6.42 with ttable at a significant level of 5% with df = N-1 = 30-1 = 29 obtained a ttable value is  2.04. These results indicate the value of tcount is 6.42> 2.04, then the hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. Then can be conclude that there is Effect of Image Media to Improve Essay Writing Descriptions Ability  by Seventh Grade Students of  SMP N 1 Paranginan in Academic Year 2018/2019.