Reviewerly/exHarmony huggingface dataset:
Upshot of Foreign Capital Flows on Real Sector Growth in Nigeria

This study examines the upshot of foreign capital inflows on real sector growth in Nigeria from 1986 to 2019. The study sets out to achieve the effect of foreign direct investment (FDI), foreign portfolio investment (FPI), and official development assistance (ODA) on real sector growth in Nigeria. The study employed the SVAR model to achieve the study objective and the data sets used for this study were secondary sources. The study found that the inflows of FDI and ODA influence the industrial sector output significantly than the agricultural sector, thereby making the sector unattractive to foreign investors. The study concludes that inflows of foreign direct investment and official development assistance exert influence on industrial sector output than the agricultural sector. The study recommends that policymakers must develop policies that are foreign agricultural capital friendly to attract more foreign capital to the agricultural sector for the growth of economic activities in the industry.
THE PROBLEM OF OBJECTIVE ASSESSMENT OF THE STUDENT’S KNOWLEDGE

In the modern pedagogical literature a large number of works are devoted to the issue of evaluating students mastered knowledge. Ensuring the quality of diagnostics of the level of knowledge acquisition by students of educational organizations is based on an adequate, reasonable, acceptable and accessible mathematical apparatus. The adequacy and validity of the mathematical apparatus allows you to significantly reduce the influence of the subjective factor on the assessment of knowledge acquisition and minimize objections to its application. On the other hand, acceptability makes it possible to use a specific situation under consideration as a diagnosis, taking into account only its inherent nuances. Accessibility also means the ability to use the proposed mathematical algorithm by teachers who have the necessary minimum of elements of the proposed mathematical apparatus. The article considers the possibility of determining the level of development of the studied topic by students on the basis of five factors of knowledge acquisition: 1. Understanding; 2. Recognition; 3.Reproduction; 4. Application; 5. Creativity. In this case, the calculations are performed by using a simplified method of hierarchy analysis and fuzzy set theory in order to reduce the subjectivity inherent in the rating system of evaluation, the use of elements of the hierarchy analysis method and fuzzy logic is proposed. The fuzzy set theory algorithm is implemented using the fuzzy Logic Toolbox application package of the MATLAB software environment. Using the method of hierarchy analysis is to aggregate scores based on the application of a matrix of paired comparisons. The synthesis of these methods allows us to obtain a fairly effective comparative assessment of students development of educational material. On the basis of the considered methodology for evaluating students assimilation of educational material, it is suggested that it is possible to reduce the influence of a subjective factor to a minimum.
PROFESSIONAL COMPETENCE OF A FUTURE TEACHER OF INFORMATICS AS A SUBJECT OF SCIENTIFIC AND METHODOLOGICAL RESEARCH

We consider the professional competence of a future teacher of computer science as: the purpose of professional training on the educational program “Secondary education (computer science)”; professional and personal characteristics of a motivated personality; the ability of an individual to apply fundamental knowledge according to the subject of professional activity; readiness of an individual to perform professional duties; prerequisite for personal and professional development. Professional competence is a dynamic formation distinguished between the professional competence of a future teacher as of a graduate and of the one, who is already a teacher. Speaking of the formation of a competence, we mean mastering it at a certain level. In particular, in the course of higher education we distinguish purposeful formation. Its further development is carried out after obtaining a qualification, in the process of professional activity. The components of this competence are general (pedagogical) and special (subject) competencies, the latter reflecting the specifics of the teacher’s activities in teaching and learning a particular subject. In this list we highlight the methodological competence. This phenomenon is difficult, because the question of developing a unified approach to the interpretation of content and structural components remains open, but these features are not fundamentally different. They emphasize the uniqueness of pedagogical activities. The formation of professional competence is defined as a purposeful process for: mastering fundamental, integrated, systematic knowledge of Pedagogy, Psychology, Computer Science as a basic science and methods of its teaching; strengthening the motivational and value principles of continuous self-education and self-improvement, creative and responsible attitude to the profession; formation of skills to apply the acquired knowledge in practical situations that simulate professional activity; enrichment of professional experience, which should be formed in the institution of higher education at a minimum level; development of professionally significant personal qualities. The peculiarities of this process are due to the requirements of employers, the ideas of implementation in practice of psychological and pedagogical innovations and modern technologies, specified by the specifics of teaching the subject.
SENTIMENT ANALYSIS FOR SARCASTIC MESSAGES IN SOCIAL MEDIA USING DEEP LEARNING TECHNIQUES - AN EMPIRICAL STUDY

Sentiments is the term of opinion or views about any topic expressed by the people through a source of communication. Nowadays social media is an effective platform for people to communicate and it generates huge amount of unstructured details every day. It is essential for any business organization in the current era to process and analyse the sentiments by using machine learning and Natural Language Processing (NLP) strategies. Even though in recent times the deep learning strategies are becoming more familiar due to higher capabilities of performance. This paper represents an empirical study of an application of deep learning techniques in Sentiment Analysis (SA) for sarcastic messages and their increasing scope in real time. Taxonomy of the sentiment analysis in recent times and their key terms are also been highlighted in the manuscript. The survey concludes the recent datasets considered, their key contributions and the performance of deep learning model applied with its primary purpose like sarcasm detection in order to describe the efficiency of deep learning frameworks in the domain of sentimental analysis.
Sociological analysis of the secondary education system in the context of a pandemic

The article provides an analysis of theoretical and practical research on the form of distance education, analyzes the data of sociological research to study the problem of transition to distance learning in Kazakhstan’s general education schools during the coronavirus pandemic. The aim of the study is to consider the problems and prospects of distance learning after the coronavirus period. The study was conducted using the survey method, and students, teachers, and parents who had distance learning experience during the pandemic were interviewed. The technical features of working with educational internet resources were analyzed and conclusions were drawn on the further development of distance learning in the Kazakh secondary education system. To overcome the crisis in education, it is necessary to constantly monitor data on students, teachers and schools. This monitoring will need to be based on a combination of existing data and assessment systems, and data from new approaches adapted to the specific context. In order to increase sustainability, data should be used to assess the state of the learning environment and the level of school accountability.
Sistem Otomatisasi Plant Factory dengan Tiga Jenis Tanaman Sayuran Berbeda Berbasis Mikrokontroler dan Android

Plant Factory is a technology concept that facilitates the formation of an environment that is suitable and good for plant growth, easy to control, does not require a large area of land, and is applied indoors so that it is not affected by outdoor weather conditions. Therefore created a system that automatically controls and monitors environmental conditions such as temperature, humidity and light. This system uses Arduino mega 2560 as a microcontroller, DHT22 temperature and humidity sensors to assess room temperature and humidity, RTC as an indicator of plant irradiation time, a micro SD module as data storage for sensors and actuators, and a Bluetooth module as a medium for data transmission. This actuator consists of a fan to control temperature, a humidifier to control humidity and an LED as a substitute for lighting plants. There are three plants as samples for testing the Plant Factory system, namely spinach, lettuce and mustard greens with each Plant Factory system for these plants. All temperature, humidity and actuator conditions can be monitored via the Android application. The plant factory automation system with three types of vegetable plants based on microcontroller and android is successfully running according to its function.
A Safe and Resilient Cryptographic System for Dynamic Cloud Groups with Secure Data Sharing and Efficient User Revocation

A comprehensive and functional approach is built in cloud computing, which can be used by cloud users to exchange information. Cloud service providers (CSPs) can transfer through server services through powerful data centres to cloud users. Data is protected through authentication of cloud users and CSPs can have outsourced data file sharing security assurance. The continuing change in cloud users, especially unauthenticated users or third parties poses a critical problem in ensuring privacy in data sharing. The multifunctional exchange of information while protecting information and personal protection from unauthorized or other third-party users remains a daunting challenge
Evaluation of the effectiveness of mobile educational applications: experience of the world practices

This article provides an overview of English-language sources on issues related to testing the usability of mobile learning applications.The methods of organizing research, the methods used for collecting data and performance criteria, which are actively studied in this area of foreign research, are considered.
A Study On The Convergence Core Competencies Influencing The Team Creativity Of Industrial Workers

The purpose of this study is to analyze the effect of core competencies of industrial workers on team creativity in order to establish the direction of core competency education of universities as the 4th industrial revolution era arrives. For this purpose, 104 industrial workers were studied to investigate the impact of convergence core capacity on team creativity. The effect of convergence core competency of industrial workers on team creativity was analyzed. The analysis results show that creative thinking and consideration affect team creativity as well as industrial workers' convergence core capabilities.
Attribute Based Access Control for Mobile Clouds without Proxy Outsourcing

Fine grained access control is a requirement for data stored in untrusted servers like clouds. Owing to the large volume of data, decentralized key management schemes are preferred over centralized ones. Often encryption and decryption are quite expensive. In existing system a decentralized attribute based encryption (ABE) scheme with fast encryption, outsourced decryption and user revocation. This out sourcing paves a way for security leak. In proposed system the attribute based encryption is enhanced and decryption is done without proxy outsourcing. The metadata and dynamic attributes are used for decryption which provides robust security.
A Novel Fuzzy Inference System Based Robust Reversible Watermarking Technique provided with Six Layer Security

Digital Watermarking has evolved as one of the latest technologies for digital media copyright protection. Watermarking of images can be done in many ways and one of the proposed algorithms for image watermarking is by utilizing Fuzzy Logic. It is similar to the concept of a Fuzzy set, each element can be defined by an ordered pair, in which one is the value and other is the membership function value. Fuzzy logic systems can explain inaccurate information and explain their decisions. Fuzzy inference system is the simplest way of performing Fuzzy Logic. In the proposed method, three Fuzzy inference models are used to generate the weighing factor for embedding the watermark and input to the Fuzzy Inference System is taken from the Human Visual System model. The Performance measures used in the Process are Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM), Normalized Cross Correlation (NCC) and Bit Error Ratio (BER). The Proposed algorithm is immune to various Image Processing attacks.
SCIENTIFIC AND METHODOLOGICAL EVALUATION OF THE MODERN TEXTBOOK QUALITY AS AN INDICATOR OF NUS TEACHER’S PROFESSIONAL COMPETENCE

The article analyzes the problems of methodical approaches to the evaluation of the quality of the educational publications. The authors apply the theoretical methods of analysis, synthesis, a generalization of scientific information, and methods of data collection in quantitative mathematical analysis for the description of the essence of the research problems. The main scientific and methodological indicators are focused on a tool for textbook assessment in the context of the formation of teacher professional competence. The article also highlights the key approaches to the assessment of the quality of the educational publication, which is used in the educational process at the first level of secondary education. One of the significant indicators of the textbook quality is an implementation of the informative lines in the educational subject matter which outline the approximate sequence of students' expected learning achievements. The content of the subject matter embraces integrated educational course and types of learning activities. The quality of a textbook is determined by means of the following interrelated indicators: optimal content, systematic, logical and consistent presentation of educational information, disclosure of the main scientific provisions of the educational subject matter, balance in the structuring of learning materials, functionally developed orientation apparatus, the scientific content of texts, the realization of competitive potential of branch and value component, coordination and systematization of learning material on the basis of interdisciplinary integration, the reflection of system-activity approaches. It is determined that a modern textbook should be designed considering certain methodological approaches and ensuring the achievement of expected learning outcomes through the acquisition of holistic ideas, the system of knowledge and methods of cognitive, research, practice-transformative, communicative and value-oriented activities.
Comparison-based centrality measures

Abstract Recently, learning only from ordinal information of the type “item x is closer to item y than to item z ” has received increasing attention in the machine learning community. Such triplet comparisons are particularly well suited for learning from crowdsourced human intelligence tasks, in which workers make statements about the relative distances in a triplet of items. In this paper, we systematically investigate comparison-based centrality measures on triplets and theoretically analyze their underlying Euclidean notion of centrality. Two such measures already appear in the literature under opposing approaches, and we propose a third measure, which is a natural compromise between these two. We further discuss their relation to statistical depth functions, which comprise desirable properties for centrality measures, and conclude with experiments on real and synthetic datasets for medoid estimation and outlier detection.
The Relationship of Knowledge Pregnant Women about Fe Tablets and the Incidence of Anemia at Puskesmas Paraman Ampalu

Background: Pregnant anemia is called "Potential danger of mother and child".Their knowledge about anemia was very important to taking fe tablets.Methods: The design of this study was analytic descriptive.The data collection method in this research is in-dept-interview.Researchers obtained data by way of question and answer face to face withrespondents use the guidelinesinterview (questionnaire).Results: more than half of 67 (53.6%) respondents have a high level of knowledge about Fe tablets and most of the 101 (80.8%) respondents did not experience anemia.Conclusion: There was a significant relationship between the knowledge of pregnant women about Fe tablets and the incidence of anemia.
Format Cetak vs Digital: Preferensi Membaca Bahan Bacaan Akademik Mahasiswa Pascasarjana Universitas Indonesia

Reading media as tools to convey information has undergone physical radical changes. Since the invention of the printing press in the 15th century, until the digital revolution in the 1980s, the habits of reading people have undergone many changes. In the past people had to buy reading media in print, nowadays only by downloading files in digital format, someone can already do reading activities on cellphones, tablets, and computers. No exception for the habit of reading academic material on students, several studies show a tendency for student preferences in reading academic material in digital format rather than in printed format. This study examined the preferences of the graduate students in University of Indonesia in reading academic reading materials such as textbooks and scientific journals. An online questionnaire used to collect data and 68 graduate students participated in this study.The results of the study show that although postgraduate students prefer digital formats, the print format is more convenient and make them more focused on reading.
SISTEM INFORMASI GEOGRAFIS EDUKASI DAN MITIGASI BENCANA BANJIR UNTUK SIAGA BENCANA DI KOTA PEKALONGAN

The city of Pekalongan is located on a low land, so there is a potential for floods every year. The &#x0D; efforts of the Pekalongan City government in overcoming floods are in the for m of making &#x0D; embankments, adding mangrove forests or through educating the community in protecting the &#x0D; environment. One of the existing problems is how to present data and information on flood area &#x0D; mapping and education to the community so that it can reduce existing victims. This research uses &#x0D; the Research and Development method, namely by collecting data on flood events, flood areas and &#x0D; flood impacts, evacuation facilities, public facilities and health and other support. From the results &#x0D; of the research carried out, it produces a geographic information system for web -based flood &#x0D; disaster mitigation and education where with this website it can be seen that flood and flood -prone &#x0D; areas, evacuation facilities, public facilities so that in the event of a flood d isaster can be given &#x0D; assistance quickly and precisely as needed, In addition, educational facilities are also produced to &#x0D; provide information and the impact of flooding. The purpose of this research is to help the &#x0D; Pekalongan city government in mitigating, educating and taking preventive action in dealing with &#x0D; flood disasters.&#x0D; Keywords: Flood area, website, mitigation, education, Pekalongan City
PROFESSIONAL DEVELOPMENT OF A HISTORY TEACHER IN THE CONTEXT OF IMPLEMENTATION OF THE CONCEPT OF THE NEW UKRAINIAN SCHOOL

Socio-political, economic and cultural changes in recent decades, multiplied by the deep social crisis that has engulfed the modern world, have affected not only production and political processes but also education. These new external and internal factors cause the need to adjust the existing conceptual foundations of training teachers to work in the New Ukrainian school, which determines the topicality of our study. The article analyzes the theoretical and methodological aspects of the professional development of a history teacher and their reflection in the semantic, operational and contextual components of the qualification component of the pedagogical skills of the New Ukrainian School teacher. The concept of “New Ukrainian School” is described as a key reform of the Ministry of Education and Science of Ukraine and the state educational policy of Ukraine on quality assurance of education is analyzed.&#x0D; It was found that according to the State Standard basic platform for the formation of the integral image of the pedagogical skills NUS teacher is formed by fourteen core competence. It creates a perfect image of the teacher. It is established that in the theory the teacher professionalism is defined as a specific psychological and personal production, characterized by professional competence and the ability to perform creatively professional tasks. The specification of cognitive-technological qualities are necessary for mastering the historical sciences is given, which in its content and form is based on the dual mechanism of mastering historical material in the direction from the knowledge of the historical fact to awareness of it as a part of one's own life. It is substantiated that the leading role in the teacher’s professional development is in his ability to innovate, components of which are a clear motivation and meaningful innovative position, the ability not only to join innovation processes but also to be the initiator. According to the results of the study, the updated functional component of the professional activity of the New Ukrainian School teacher directs his professional evolution towards the modernization of the established general education model and causes reinterpretation of its place and role in the native education environment.
Large-scale image search with text for information retrieval

Searching images in a large database is a major requirement in Information Retrieval Systems. Expecting image search results based on a text query is a challenging task. In this paper, we leverage the power of Computer Vision and Natural Language Processing in Distributed Machines to lower the latency of search results. Image pixel features are computed based on contrastive loss function for image search. Text features are computed based on the Attention Mechanism for text search. These features are aligned together preserving the information in each text and image feature. Previously, the approach was tested only in multilingual models. However, we have tested it in image-text dataset and it enabled us to search in any form of text or images with high accuracy.