Reviewerly/exHarmony huggingface dataset:
APPLICATION OF IDEF0 METHODOLOGY FOR CREATION OF A FUNCTIONAL MODEL OF MANAGEMENT OF EDUCATIONAL ACTIVITIES OF A HIGHER EDUCATIONAL INSTITUTION

New information technologies penetrate all areas of the modern economy, including organizations of higher education. Ways to improve the management process of educational activities of a higher educational institution considered. It is advisable to reorganize the educational process at the management system of the university to improve the quality of specialist education. The urgent task is to build a holistic model of the educational institution management system. In the framework of the consideration of theoretical aspects, definitions of the concepts “system” and “system model” given, and it also indicated why the system model developed and what it describes. The general structure of the model of the university’s educational activities management system is presented, which includes the main subsystems: “Educational process planning”, “Educational process management”, “Monitoring the educational process,” including processes and subprocesses. The results of this study presented in table form. The theoretical aspects of the IDEF0 notation of the SADT methodology considered. The feasibility of applying this methodology to create a functional model of the educational process of a higher educational institution is substantiated. The rationality of using IDEF0 modelling for conducting a complex (structural-functional) analysis of the educational process management system of an educational institution argued based on the main advantages of the named methodology. The presented structure of the system allows obtaining a general idea of ​​its elements and relationships between them. Functional charts of the main business processes of managing the educational activities of the university are given. The presented functional models reflect the structure and functions of the system, as well as the flows of information and material objects converted by these functions. The functional model for managing educational activity is constructed from the perspective of the administration because the model purpose is to analyze the business processes of a higher educational institution, that are part of the complex of managerial tasks facing the university’s leadership. This paper presents the developed functional model of the subsystem “Planning the educational process”, which includes IDEF0 charts of several levels. The top-level chart - the context chart - is detailed by child charts containing subprocesses, functions and specific procedures, as well as incoming and outgoing data flows, control information and resources. The article presents an integrated approach to the study of the system "Management of educational activities of the university". The given study allows us to select the main ways of improving key management processes of the educational activities of the institution, in particular, to optimize the transition from “patchwork” university informatization to integrated management of the entire system as a whole.
Чтение детей и подростков в Республике Беларусь: взгляд через десятилетие

The author examines the trends in the development of children’s reading in the Republic of Belarus, using the comparative analysis of the results of sociological studies conducted by the National library of Belarus in 2009—2010 and 2018—2019.
Aplication of Validity Index in K Means and Fuzzy C Means

K-Means and Fuzzy C-Means Clustering is a method of analyzing data that performs the modeling process without supervision (without supervision) and is a method that groups data by partitioning the system. Clusters Clusters and Fuzzy C-Means will produce different clusters in the same dataset, cluster validity index is a method that can be used to improve the results of clustering generated by the clustering method. This study will use the cluster validity index on the kmeans clustering algorithm and Fuzzy C-Means by calculating the index of validity of each kmeans clustering result with k = 2, ..., kmax (k max determined at the beginning) and the results from Fuzzy C-Means with c = 2, ...., cmax (c max is specified at the beginning). By using the cluster validity index, the most optimal cluster is obtained in the second cluster with the Dbi value = 0.45 in the mean K and the second cluster with the Dbi value = 0.5 in the Fuzzy C Mean, and the results of the clustering are consistent.
PENERAPAN ALGORITMA FISHER-YATES PADA APLIKASI SAHABAT CERITA UNTUK PENGENALAN SAHABAT NABI BERBASIS ANDROID

The introduction of the exemplary figures of the Companions of the Prophet was needed as a means of children's learning in behavior and religion, so that children have better role models to emulate. Exemplary stories in book form are sometimes less interactive. The introduction of role models who can be accessed at any time is needed, so that it can facilitate the learning process. Almost all aspects of human life can not be separated from smartphones. The use of smartphones also includes not only adults but also children. Android is a smartphone operating system that is in demand by all circles of society today. Making this application is designed using Android Studio 3.2 software and using the Java programming language. System development uses the waterfall model including analysis, design, implementation, testing and maintenance. This application displays a variety of exemplary stories from the Prophet's companions in the form of animated stories and videos, by using the Fisher-Yates Shuffle algorithm method which is a form of randomization of questions so as to make the question not boring. This application is expected to be one of the learning media for parents to accompany their children by utilizing an Android operating system smartphone
Effect of selected television advertisements on modeling behaviour among Preschoolers

A quantitative approach, non-experimental descriptive exploratory research designwas used for the study. 30 samples from selected anganwadies of Ponmala panchayath were selected by non- probability purposive sampling technique. Socio demographic data were assessed using socio-demographic performa, effect of selected television advertisement using video assisted checklist and extent of imitation using 5 point Likert scale. Data were analysed and interpreted by descriptive and inferential statistics. Data collection tools included were socio demographic Performa, video assisted checklist and 5 point Likert scale. Results and conclusion: The analysis revealed that, 73.33% of the participants exhibited strong imitating behaviour and 26.67% exhibited moderate imitation behaviour. There is a significant association between the type of character portrayed in the advertisement and extent of imitation behaviour. The present study concluded that there is a significant effect of television advertising on modeling behaviour among preschoolers.
Exploring Machine Learning Techniques for Text-Based Industry Classification

This project aims to develop an effective machine learning text-based industry classification. We explore the use of various word embedding schemes and clustering algorithms for industry classification. BERT, word2vec, doc2vec, latent semantic indexing are used for word embedding, while greedy cosine-similarity, k-means, Gaussian mixture model, and deep embedding for clustering are used as clustering algorithms. We present our results for the companies listed in the US and Chinese markets.
Reduction of Rain and Snow Within the Image Using Image Processing

The principle of this paper is to clear the rain streaks form a color image using the image processing technique by constructing a supreme algorithm. The algorithm used will clear the defects in an image caused by rain. The image captured during rain can be classified into two parts: rain and de-rain. The image captured during rain can be further segmented into (1) low frequency part, i.e., the image with no rain and snow streaks and (2) high frequency part which also contains some or more details of the image. The defects caused by rain can be cleared using a technique named L0 gradient minimization technique. The major role of this technique is to smoothen the rain streaks in a rainy image by removing the rain pixels. Snow and rain are the two major barrier in processing the captured image which is captured in a bad weather condition. This technique can control the number of non-zero gradient that is present in the image. The edges of the rain streaks are conserved, and unimportant details are diminished. To get the improved contrast image, a technique named histogram adjustment technique is used.KeywordsRainImageCameraPixelsRemovalIntensitiesSnow
CREDIBILITY MEASURE IN TWEET RETRIEVAL BASED ON TEXTUAL CONSISTENCY

Nowadays, social media is a space where information can be shared concerning any type of event.These networks have become a mass of social information that is accumulated day by day.This accumulation can even be doubled in a time of sudden crisis or even within the spread of a pandemic as the example of the famous COVID-19 virus.This social information can, without a doubt, impact, not only the internet surfer, but also the others who have no relationship with the social networks.The major problem here is based on the credibility of information, since the users have the ability of sharing any kind of information.This, in its way, explains why the credibility of social information presents an important challenge.Consequently, in this paper, we are particularly interested in the social media Twitter, where our primary goal is to evaluate the credibility score of a tweet.More precisely, we have presented a hybrid system that takes into consideration, on one hand, the content and the author of the tweet, and on the other hand, includes the notion of textual coherence between the tweet and its comments.In order to validate our proposed approach, we performed our work on a database based on the tweets concerning the COVID-19.Experimental study shows the efficiency of our system, since it's able to reach the same level of judgment as a human.The advantage of our approach based on adapting to changes, where each comment added can also influence credibility, unlike most of the work which is based on machine learning.
Как наукометрия стала самой важной наукой для исследователей любых специальностей

The point of view of this article’s author, participating in the work of several scientific journals, on the current situation with the publication of articles by scientists of various specialties is presented. Two approaches to this problem are considered – “informal” (focused only on the quality of published manuscripts) and “formal” (taking into account mainly the scientometric indicators of both authors and journals). The continuous commercialization of this process is noted, associated with the emergence of a huge number of publications that require significant article processing charges from scientists to publish the results of their research. At the same time, the financial interests of publishers promote reducing the requirements for reviewing and editing articles submitted to the editorial board. It is emphasized the need for the appropriate formal scientometric indicators for researchers applying for grants, as well as for the corresponding positions and titles, which has arisen at the present stage. According to the author, excessive attention to such formal rankings does not improve the effectiveness of scientific publications, negatively affecting, in particular, the process of blind peer review, grammar and style of manuscripts, statistical processing of data given in articles, design of illustrations, as well as the quality of reference lists.
An accurate and convenient 3D profile measurement method based on phase shifting fringe projection

In the 3D phase measurement with large view field, when the number of fringes is not too many, the period broadening problem of projection fringes will seriously affect the accuracy of measurement. In this paper, an accurate and convenient 3D shape measurement method based on phase shifting fringe projection is prop osed. Firstly, in the fringe projection measurement system based on the triangulation principle, the fringe position coordinates are taken as the input and output parameters of the system, and the linear mathematical model of fringe period correction is de rived. Secondly, the model parameters are obtained by simple calibration process. Through using the idea of reverse fringe projection, the new fringe to be projected is calculated from the correction model, and then periodic four-step phase shifting projection fringes can be produced. Finally, a four-step phase shifting method is used to restore the 3D shape of object. The experiments of fringe period correction and 3D profile measurement show that the proposed method can easily generate the phase-shifting projection fringes with equal period distribution and hence improve the measurement accuracy of phase-shifting method.
ATOMIC ABSORPTION SPECTROSCOPY ANALYSIS OF HEAVY METALS IN WATER AT MAI-GANGA COAL MINING VILLAGE, GOMBE STATE, NIGERIA

This study was designed to detect heavy metals level in water collected from Mai-ganga Coal mining village, Gombe State, North-East Nigeria. Samples was analyzed using Atomic Absorption Spectroscopy. The level of Pb, Ni, Cd, Co, Cu, Mn, Mg, Zn, and Fe were assessed. The result shows significant level of Pb at 1.833 mg/l and 5mg/l for Fe which exceeded the WHO limit (0.01 mg/l). Cu, Cr, Zn, Mn, and mg found at 0.2193, 0.4285, 0.5294, 1.60, and 3.50 mg/l respectively. Cd, and Ni were detected at 0.001mg/l and 0.002 mg/l respectively. Co was only detected in surface water (Mai-ganga earth dam) in all the samples collected. Cd, Mg, Ni, and Zn were found below the WHO, USEPA limits. Pb, Fe were found to exceed the recommended limits. Therefore, this study seeks to enlighten the mining community about the risk of heavy metals and the need by the government/mining industries to provide alternatives for Mai-ganga drinking water.
СПЕКТАКЛЬГЕ ДАЙЫНДЫҚ ПРОЦЕССТЕРІНДЕ ТЕАТР АКТЕРІНІҢ М.ЧЕХОВ ҰСЫНҒАН ТӘСІЛДЕРДІ ИГЕРУІ МӘСЕЛЕСІ

This article presents the problem of mastering by the theater actor techniques proposed by M. Chekhovin preparation for the play. Special attention is paid to the universality of Chekhov's methods in theaterpedagogy and training of artists in the whole theater art. The article discusses the basics of the creativemethod of M. Chekhov. Besides, the possibility of synthesis of Stanislavski system bases with Chekhov'sprinciples about a character is proved. The article describes in detail the process of creating the necessarytraining for the education of an actor, which includes both the most important elements of the Stanislavskisystem and the method of M. Chekhov.
Practical Approach on Implementation of WordNets for South African Languages.

This paper proposes the implementation of WordNets for five South African languages, namely, Sepedi, Setswana, Tshivenda, isiZulu and isiXhosa to be added to open multilingual WordNets (OMW) on natural language toolkit (NLTK). The African WordNets are converted from Princeton WordNet (PWN) 2.0 to 3.0 to match the synsets in PWN 3.0. After conversion, there were 7157, 11972, 1288, 6380, and 9460 lemmas for Sepedi, Setswana, Tshivenda, isiZulu and isiX- hosa respectively. Setswana, isiXhosa, Sepedi contains more lemmas compared to 8 languages in OMW and isiZulu contains more lemmas compared to 7 languages in OMW. A library has been published for continuous development of African WordNets in OMW using NLTK.
APLIKASI SISTEM INFORMASI GEOGRAFIS DALAM PERENCANAAN PENGGUNAAN LAHAN PADI SAWAH DI KECAMATAN BENGO KABUPATEN BONE

This study aims to determine the potential for developing land use for rice fields in Bengo Sub-District, Bone District. The land survey was carried out using the land unit system method, consisting of basic data preparation, field exploration, soil descriptions, soil sampling, laboratory analysis and land suitability assessment for rice plants.The research method is the FAO method by combining GIS (Geographical Information System) technology which is carried out by collecting data such as rainfall data for the last 10 years of Bengo District which is obtained from the Agricultural Training Center (BPP) Kec. Bengo and Collection Base maps such as land use maps, soil type maps and slope maps obtained from BPKH (Forest Area Consolidation Center) Region II Makassar and obtained from google earth imagery. The maps are overlaid or overlapping to obtain 18 land units which are then grouped by soil type and soil sampling which is then analyzed in the laboratory. The properties analyzed were adjusted to the information required in land suitability studies based on the FAO method. The results of the analysis were evaluated by land suitability classes for lowland rice plants based on land characteristics determined by the Indonesian Ministry of Agriculture
Forgery localization in images based on joint statistics of image blocks with neighbouring blocks

Flawless image forensic analysis necessitates precise identification of tampering regions in digital images along with the determination of state of an image (original or forged). Most of the efforts towards localization of forgeries involve localization of information-changing forgeries with less focus towards localization of information-preserving forgeries. This paper proposes a new information-preserving forgery localization method to localize 10 different tampering types exploiting the fact that joint statistics of locally forged regions and neighbouring original regions is disturbed. The proposed 18-dimensional detector is trained using ensemble classifier for fine-grain identification of forged regions in post-JPEG compressed images and results are compared with two recent state-of-the-art detectors. The results demonstrate the effectiveness of the proposed detector with significant performance gain over existing detectors, particularly for localization in images that are compressed with low quality factors of compression.
A photonic accelerator for large-scale artificial neural networks

In the post-Moore’s law era, dedicated digital accelerators have played an indispensable role in the success of artificial neural networks (ANNs) and their applications in artificial intelligence (AI). As the complexity of ANNS grows, analog electrical and optical computing are being considered as alternatives for achieving sustainable scalability and energy efficiency. In this talk we will present photonic accelerators that can potentially provide orders of magnitude increases in scalability and energy efficiency towards brain-like AI with hundred billion-neuron neural processing power.
A Model of Fast Concept Inference with Object-Factorized Cognitive Programs

The ability of humans to quickly identify general concepts from a handful of images has proven difficult to emulate with robots. Recently, a computer architecture was developed that allows robots to mimic some aspects of this human ability by modeling concepts as cognitive programs using an instruction set of primitive cognitive functions. This allowed a robot to emulate human imagination by simulating candidate programs in a world model before generalizing to the physical world. However, this model used a naive search algorithm that required 30 minutes to discover a single concept, and became intractable for programs with more than 20 instructions. To circumvent this bottleneck, we present an algorithm that emulates the human cognitive heuristics of object factorization and sub-goaling, allowing human-level inference speed, improving accuracy, and making the output more explainable.
Indonesian EFL Students’ Tendencies in Writing Academic Essays

Abstract: This article aimed to find the tendencies exhibited by Indonesian students of English as a Foreign Language (EFL) students in writing an academic essay in English. A content analysis method is employed as the method of the study. The data of the study were the final draft of the essays written by EFL students of the English Department of a reputable university in East Java, Indonesia. The essays were analyzed by looking for the shared properties in each part of the essay. The data were analyzed by extracting the most common properties in each essay which are (a) thesis statement, (b) coherency, and (c) concluding remark. The results showed that the students tended to forget to use definite and indefinite articles, misuse the definite and indefinite articles with plural forms, to use of nouns and pronouns inconsistently, to use an English sentence with an Indonesian rhetoric pattern, and to not include a summary of the subtopics discussed in their body paragraphs
New intelligent strategy for encryption decisional support system

Despite the exponential evolution of information technologies and IT infrastructure, IT security tools (including encryption) do not always guarantee the same level of security. One can find very powerful encryption systems for images but not necessarily for videos or literal texts. Our contribution is to achieve an intelligent encryption strategy for communication software, allowing the use of the most appropriate encryption system for the messages specificities, the infrastructure, and the destination platform. For this, we start with a classification of data to secure. Then, we establish a multidimensional data analysis through a Datawarehousse design in the star model. Moreover, in order to make the system intelligent, we populate the knowledge base with all the encryption results performed after each communication. Finally, we propose to apply the block nested loop (BNL) algorithm on ciphering algorithms skyline candidate to decide the one who meets most of the criteria to secure communication.
कोरोना आणि डिजिटलायझेशन (Corona and Digitalization)

Marathi Abstract: कोरोना विषाणचया परादरभावामळ सरवतर गभीर वातावरण निरमाण झालल आह. लॉकडाऊन किवा ‘वरक फरॉम होम’चया काळात डिजिटलायझशन ही एक अनिवारयता झाली आह. या काळात साहितयिकाची, कलाकाराची आणि शिकषण कषतराची सरवाधिक सकरियता पाहायला मिळाली, ती सोशल मिडियावर. भविषयात शाळामधय शिकविल जाणार शिकषण ह ऑनलाईन पदधतीन होऊ लागल तर तयासाठी विविध परकारच ऑनलाईन साहितय निरमाण कराव लागल. फकत पाठयपसतक पीडीएफ करन ह काम होणार नाही तर डिजिटल माधयमासाठी मातभाषतील मजकर महणजच कटट तयार करावा लागल. गरामीण आणि शहरी भागात 'डिजिटल विषमता' आह. मातर विविध अडचणीवर मात करीत यणाऱया परिसथितीला डिजिटालायझशनचया माधयमातनच सामोर जाव लागणार आह.English Abstract: The outbreak of the corona virus has created a serious atmosphere everywhere. Digitalization has become a necessity in times of lockdown or ‘work from home’. During this period, the greatest activism of writers, artists and the education sector was seen on social media. In the future, if the teaching in schools is to be done online, a variety of online materials will have to be created. This will not only be done by PDFing the textbooks, but also by creating content in the mother tongue for digital media. There is ‘digital inequality’ in rural and urban areas. However, the situation of overcoming various difficulties will have to be faced only through digitization.