Reviewerly/exHarmony huggingface dataset:
Pengembangan Media Dakon Matematika (Dakota) Pada Materi FPB dan KPK Untuk Meningkatkan Minat Belajar Pada Siswa Kelas IV SD Inpres Paccerakkang

This study aims to describe the procedure, to determine the quality of the product, to describe the level of student interest in mathematics in FPB and KPK. This research uses research and development methods. This research stage refers to the development stage according to ADDIE. The subjects of this study were fourth grade students of SD Inpres Paccerakkang who were suspected of being 12 people as the sample. The data analysis technique used in this research is qualitative analysis and quantitative analysis. The two analyzes were carried out simultaneously. Based on the results of the validation, two instructional media experts gave an average score of 43 (SB) and 44 (SB) while the class teacher gave an average score of 41 (B) and 42 (SB). Furthermore, for small group trials it has increased. This is shown in the pretest obtained 58% or as many as 7 students who are complete while the posttest increase in completeness reaches 100% because all students complete in learning. Then student interest in learning also increased after the use of Dakota media that had been developed. This is shown in the average value of student interest in learning is 81 which is very good category.
Design and Development of Web based Fuzzy Expert System for Diseases Diagnosis in Horticulture Sector: A Case Study of Flower Rose

Abstract The internet provides a platform for research and development of intelligent software applications. This paper suggests a new approach for inculcating intelligence in the computational system for diagnosis of diseases in plants of horticulture domain. In this paper, a web-based expert system is designed and developed. The need of horticulturists changes according to region of a country so it is very necessary to update knowledge base according to requirement of horticulturists of that region. The horticulturists have different queries according to domain. So in view of this problem, a knowledge management platform is introduced which help the horticulturist to find the solutions of their queries. A Framework using Knowledge management is devised and implemented. A previously proposed model for information mining from internet has been shortened into this platform to make it richer in knowledge base. This expert system works on the principle of a new fuzzy logic approach using Euclidean distance method. The expert system also incorporates new feature that improve the presently existing expert systems. The additional features are (i) Development of knowledge management platform (ii) Static and Dynamic knowledge base (iii) Audio based GUI (iv) video guidance interface. At last a case study of flower rose is discussed. Keywords: web, fuzzy expert system, knowledgebase, diseases, knowledge management platform
Investigating Proactivity in Task-Oriented Dialogues

We investigate proactivity, the capacity of a dialogue system to provide relevant information even when not explicitly requested, in the context of task-oriented dialogues.We propose to extend the current task-oriented framework, and have investigated four aspects of proactivity: (i) the degree of proactivity provided by the system during a dialogue; (ii) the propensity of the user to be influenced by the system proactivity; (iii) the complexity of the domain ontology; (iv) the relation between user needs and application domain, in terms of expected failure situations.Under the hypothesis that proactivity helps to increase effectiveness and efficiency of dialogues, we set up a framework based on dialogue simulations, and experimented the four aspects mentioned above.Although the current implementation allows to simulate a limited amount of dialogue phenomena (e.g., system initiative only), we are able to show that proactivity might have strong effects on dialogues, reducing up to 60% of dialogue turns in an application domain of medium complexity.
ON STYLISTIC CODING TECHNIQUES IN ENGLISHLANGUAGE HISTORICAL TEXTS

Historically, coding is one of the first and oldest ways to convey meanings, where codes are the mechanisms of conveyance, and the symbols of the graphic side - letters, words, phrases - are the ingredients/keys of this conveyance. Technocrats use mathematical, algebraic, and statistical methods to collect and transmit information, while linguists provide graphical forms and models for the perception of what is being transmitted. One of the first system codes that appeared at the dawn of civilizations is the Bible, its writing required an alphabetic code readable by millions later. Sometimes, consumers and producers use similar but not identical methods of collection and transfer, relying on non-standard decisions based on previously acquired knowledge and skills. Probably, generalization of the system of obtaining knowledge and cognitive skills contributes to making the right strategic and logical decisions, taking into account the chronological, specific and professional features and stages of development. The subsequent presentation eventfully and reliably informs the readership about the specifics of the first codes of transmission to the enlightened humanity.
A literature review of recent topics in Korean Military Art and Science

The Republic of Korea, which is the only divided country in the world, is an extremely prominent country facing an existential enemy named “North Korea”. In Korea, the military science field is gaining interest and importance. However, as it is a specialized field, research is scarce. In this study, through text mining, we attempted to analyze 69 regular papers’ abstracts in the military science and domestic social science fields. These abstracts were present in the Korea Citation Index (KCI), which publishes the latest research trends and, in this case, trends in military studies. As a result, research is being conducted on various subjects. In particular, 63% (44) of these were found to be related to the construction of military power such as security cooperation, external situations, research and development, and defense reform. This study applied an unstructured data analysis method called text mining and attempted to analyze the subject of several papers from a more scientific perspective. Hence, it can be considered a study of great significance as it was able to provide an overall understanding of general research trends and trends in recent military studies.
Peculiarities of assertive behavior development of future lecturers under the Master’s Degree Program conditions

Program conditionsPaper received 02.09.20
ODESSA PUBLICATIONS IN THE BOOK COLLECTION OF THE VORONTSOV PALACE IN ODESSA (LATE 1820S – 1880): PECULARITIES OF FORMING OF THE BOOK REPERTOIRE IN THE FAMILY LIBRARY

The article considers the repertoire of books and periodicals printed in Odessa in the period from the 1820s to 1880, in the Odessa Vorontsov library. The main source of the study of the repertoire of local publications contained in the library of the Vorontsov family is Inventory of the library of the entailed estate of His Serene Highness Prince Semyon Mikhailovich Vorontsov in Odessa, which records the books published in Odessa available in the Vorontsov collection at the time of its donation to the Novorossiysky University at the end of the 19 century. This collection began to take shape under the governor-general of Novorossiya and the plenipotentiary governor of Bessarabia (1823–1856) as well as the Caucasian governor (1844–1856), Count, since 1845 – Prince Mikhail Semyonovich Vorontsov (1782–1856). Its formation was completed under the last owner of the family collection – Prince Semyon Mikhailovich Vorontsov (1823–1882), who was at the head of the town council of Odessa in 1863–1867. M. S. Vorontsov who was known as a philanthropist, contributed actively to the formation of the scientific and cultural elite of the city. During his lifetime, the library was completed by the works promoting intellectual and cultural development of the inhabitants of Odessa and the entire region (publications on history and archeology dominated). Under his son, the library was supplemented by a significant collection of published documents and materials from local authorities. The article emphasizes that the main problem of studying the book heritage of Odessa in the 19 th th century is the lack of a complete register of local printed production. The earliest Odessa editions from the collection of the Vorontsov Palace are listed. The books are characterized according to their themes and language of publications. Copies with ownership marks have been registered after de visu viewing of this part of the collection.
Pattern Discovery in Colored Strings

In this article, we consider the problem of identifying patterns of interest in colored strings. A colored string is a string where each position is assigned one of a finite set of colors. Our task is to find substrings of the colored string that always occur followed by the same color at the same distance. The problem is motivated by applications in embedded systems verification, in particular, assertion mining. The goal there is to automatically find properties of the embedded system from the analysis of its simulation traces. We show that, in our setting, the number of patterns of interest is upper-bounded by O ( n 2 ), where n is the length of the string. We introduce a baseline algorithm, running in O ( n 2 ) time, which identifies all patterns of interest satisfying certain minimality conditions for all colors in the string. For the case where one is interested in patterns related to one color only, we also provide a second algorithm that runs in O ( n 2 log n ) time in the worst case but is faster than the baseline algorithm in practice. Both solutions use suffix trees, and the second algorithm also uses an appropriately defined priority queue, which allows us to reduce the number of computations. We performed an experimental evaluation of the proposed approaches over both synthetic and real-world datasets, and found that the second algorithm outperforms the first algorithm on all simulated data, while on the real-world data, the performance varies between a slight slowdown (on half of the datasets) and a speedup by a factor of up to 11.
Rancang Bangun Aplikasi Elektronik Resep yang Terhubung ke Kasir Menggunakan Website

A recipe is a description given by a doctor about a medicine and its dosage. Currently the recipes used are still using manual recipes that are written by hand. The most common weakness of manual recipes is the handwritten recipe which is difficult to understand. Most of the patients do not understand the doctor's writing, except the pharmacist . An electronic recipe is a recipe given by a doctor in the printed recipe of a recommended medicine. The purpose of electronic recipe is the recipe can be read clearly by the patient and also by the pharmacist. In addition, electronic recipe can also make it easier for patients to pay for medicines at the cashier. If in manual procedures the patient has to queue 2 times at the checkout, using an electronic prescription, the patient only needs to queue once at the cashier, which is when paying for medicine only. The method used in this research is the Prototype method, and using website for its interface. From this research, the results show that the application built on the website is 100% well run and usable. This is obtained from the results of 30 respondents who tried the application.
Research on Noise Reduction and Enhancement of Weld Image

In order to eliminate the salt pepper and Gaussian mixed noise in X-ray weld image, the extreme value characteristics of salt and pepper noise are used to separate the mixed noise, and the non local mean filtering algorithm is used to denoise it. Because the smoothness of the exponential weighted kernel function is too large, it is easy to cause the image details fuzzy, so the cosine coefficient based on the function is adopted. An improved non local mean image denoising algorithm is designed by using weighted Gaussian kernel function. The experimental results show that the new algorithm reduces the noise and retains the details of the original image, and the peak signal-to-noise ratio is increased by 1.5 dB. An adaptive salt and pepper noise elimination algorithm is proposed, which can automatically adjust the filtering window to identify the noise probability. Firstly, the median filter is applied to the image, and the filtering results are compared with the pre filtering results to get the noise points. Then the weighted average of the middle three groups of data under each filtering window is used to estimate the image noise probability. Before filtering, the obvious noise points are removed by threshold method, and then the central pixel is estimated by the reciprocal square of the distance from the center pixel of the window. Finally, according to Takagi Sugeno (T-S) fuzzy rules, the output estimates of different models are fused by using noise probability. Experimental results show that the algorithm has the ability of automatic noise estimation and adaptive window adjustment. After filtering, the standard mean square deviation can be reduced by more than 20%, and the speed can be increased more than twice. In the enhancement part, a nonlinear image enhancement method is proposed, which can adjust the parameters adaptively and enhance the weld area automatically instead of the background area. The enhancement effect achieves the best personal visual effect. Compared with the traditional method, the enhancement effect is better and more in line with the needs of industrial field.
IMPLICATIONS OF ZONATION SYSTEM AND EFFORTS TO OVERCOME STUDENTS LEARNING DIFFICULTIES

This study aims to determine the zoning system's application for the admission of new students and determine the efforts of schools and teachers to overcome learning difficulties as a negative impact of the application of the zoning system. The research method used is descriptive qualitative with a phenomenological approach. The research object was in the Junior High Schools 1, 5, and 10 Serang City, while the data obtained through interviews with the principal and vice-principal of the school. The results showed that the zoning system's implementation for new students' admission was following government policy. The efforts schools and teachers' to helping student learning difficulties by adding learning hours for students who experience learning difficulties at schools on health protocols as part of the 'new normal' through a scheduled and limited system, the importance of parental participation in coaching and supervision of learning at home and assist their friends or seniors to understand the substance earlier learning.
Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation

Mongolian morphological segmentation is regarded as a crucial preprocessing step in many Mongolian related NLP applications and has received extensive attention.Recently, end-to-end segmentation approaches with long short-term memory networks (LSTM) have achieved excellent results.However, the inner-word features among characters in the word and the out-word features from context are not well utilized in the segmentation process.In this paper, we propose a neural network incorporating inner-word and out-word features for Mongolian morphological segmentation.The network consists of two encoders and one decoder.The inner-word encoder uses the self-attention mechanisms to capture the inner-word features of the target word.The out-word encoder employs a two layers BiLSTM network to extract out-word features in the sentence.Then, the decoder adopts a multi-head double attention layer to fuse the inner-word features and out-word features and produces the segmentation result.The evaluation experiment compares the proposed network with the baselines and explores the effectiveness of the sub-modules.
Secure MD4 Hash Function Using Henon

Secure hash functions play a fundamental role in cryptographic and web applications. They are mainly used, in the context of digital signatures, to verify the integrity and authenticity of information, in recent years research have found weaknesses in a number of hash functions like MD4,MD5 and SHA-1 ,So in this paper a modified scheme of MD4 was proposed by replacing the original message index K and bit rotation S with new sequence using Henon chaos systems , this proposed scheme given high sensibility of any little change to the original message ,great statistical diffusion and confusion performance, high resistance to collision.
MULTITOPIC TEXT CLUSTERING AND CLUSTER LABELING USING CONTEXTUALIZED WORD EMBEDDINGS

Context. In the current information era, the problem of analyzing large volumes of unlabeled textual data and its further grouping with respect to the semantic similarity between texts is emerging. This raises the need for robust text analysis algorithms, namely, clustering and extraction of key data from texts. Despite recent progress in the field of natural language processing, new neural methods lack interpretability when used for unsupervised tasks, whereas traditional distributed semantics and word counting techniques tend to disregard contextual information.Objective. The objective of the study is to develop an interpretable text clustering and cluster labeling methods with respect to the semantic similarity that require no additional training on the user’s dataset. Method. To approach the task of text clustering, we incorporate deep contextualized word embeddings and analyze their evolution through layers of pretrained transformer models. Given word embeddings, we look for similar tokens across all corpus and form topics that are present in multiple sentences. We merge topics so that sentences that share many topics are assigned to one cluster. One sentence can contain a few topics, it can be present in more then one cluster simultaneously. Similarly, to generate labels for the existing cluster, we use token embeddings to order them based on how much they are descriptive of the cluster. To do so, we propose a novel metric – token rank measure and evaluate two other metrics.Results. A new unsupervised text clustering approach was described and implemented. It is capable of assigning a text to different clusters based on semantic similarity to other texts in the group. A keyword extraction approach was developed and applied in both text clustering and cluster labeling tasks. Obtained clusters are annotated and can be interpreted through the terms that formed the clusters.Conclusions. Evaluation on different datasets demonstrated applicability, relevance, and interpretability of the obtained results. The advantages and possible improvements to the proposed methods were described. Recommendations for using methods were provided, as well as possible modifications.
The key indicators of the normality of distribution

Statistics plays an important role in describing the results of various research. The basic role of statistical reasoning is to enable generalizations valid for the entire population to be made on the basis of certain quantitative characteristics of the sample. Various statistical procedures are used for this purpose, among which those for which the normality of distribution is the null hypothesis are very common. This paper provides an insight into the statistical techniques most commonly used in pedagogical research, which serve as a guide for the researcher in confirming or rejecting the null hypothesis about the normality of the distribution of the population characteristics based on a simple random sample. These are commonly known descriptive methods that allow the researcher to statistically confirm the normality of the characteristics of the entire population. The first part of the paper describes the most commonly used visual methods: histogram, QQ graph, and scatter diagram, pointing out their advantages and disadvantages, but also the interrelation and a complementary role in drawing conclusions. Statistical tests are described as well: Chi-square, Shapiro-Wilk and Anderson-Darling tests, the application of which contributes to the discovery of the essence, which is not possible only by applying visual methods. The correctness of statistical inference is always conditioned by the adequate application of the selected methods and techniques. The aim of this paper is to present the application of statistical methods in determining the normality of the distribution of the features of empirical pedagogical research.
Behaviour Analysis of Agents in Virtual Educational Space

Modern teaching methods include both traditionally established approaches to the classroom and an entirely virtual approach aimed at learning from anywhere in the world at any time. Society is constantly witnessing increasingly popular platforms such as Coursera, Udacity, Udemy, and even YouTube, which are regarded asaggregators of new knowledge.The problem that is not addressed, however, is to what extent learning is effective in the process not only of the particular course but also within several interrelated courses of study. This article will describe a conceptual model for analysing the behaviour of intelligent agents who acquire knowledge by usingvirtual tools to support the educational process, as well as ways to analyse the behaviour of the agents in question.
THE PARTICIPANTS INTERACTION MODEL OF EDUCATIONAL PROCESS WITHIN STEAM-ORIENTED EDUCATIONAL ENVIRONMENT OF GENERAL EDUCATION INSTITUTION

The paper features the specifics of participants interaction in STEAM-oriented educational environment of school at application of the project method. The participants interaction model of educational process within STEAM-oriented educational environment of general education institution is substantiated and offered, and the roles of participants of this environment according to their kind of activity are defined. The main stages of implementation of the educational project in the general educational institution are singled out: creation of the main content of the project, covering the topic, idea, tasks, time limits of the learning and teaching activities and the result; creating a plan for organizing and implementing the project for teachers and students; planning activities in the project for its various participants; research of the project topic; demonstration of results; reflection. The main participants of the STEAM educational project and their roles according to their activities at each stage within the participants interaction model of the educational process, which takes place in the STEAM-oriented educational environment of the general education institution, are identified, namely: the creation of the main content of the project is ensured by the activities of the teacher-leader, who offers the content, indicative plan, a deadline for each stage, main activities, tasks and the result of the project, that is, develops the Technical task, teachers offer their ideas for supplementing or adjusting the terms of reference of the project, create indicative plans for the organization and implementation of the project for teachers and students, inform students about the main details of the project, unite students ingroups, give them advice, students in groups perform the tasks of the project its main issues, explore the topic to achieve the result of the project, demonstrate the result; evaluate their work and the work of others, identify interesting solutions and the importance of results, shortcomings and problems in the activities to achieve the result of the project/ It is concluded that the success of the educational project and achieving its goal within the STEAM-oriented educational environment depends on creating conditions for the interaction of its participants, namely: clearly defined content of the project; achieving mutual understanding between its participants; compliance to ethical and psychological principles, in particular the willingness and ability to be a facilitator for teachers and students; organization of interaction with the help of tools convenient for all participants of the project, in particular, web services.