Reviewerly/exHarmony huggingface dataset:
Incidence Picture of Early Loss of Primary First Molar Teeth in 6-9 Year Old Children in Dental Hospital of Jember University

Premature loss of primary teeth is a condition where primary teeth are lost before the replacement teeth approach eruption due to caries, trauma and systemic conditions. Premature date can lead to a reduction in the length of the dental arch and migration of the opposing teeth leading to rotation, crowding and impaction of the permanent teeth. The purpose of the study: to describe the incidence picture of early loss of primary first molar teeth in 6-9 year old children in dental hospital of Jember University. The type of research carried out in this study was descriptive observational with a cross sectional approach. The research data showed that there were 42 medical records of pediatric patients aged 6-9 years. There are 5 medical records for patients aged 6 years, 15 data for medical colleagues for patients aged 7 years, 16 medical records for patients aged 8 years, and 6 medical records for patients aged 9 years. The percentage incidence of premature date of the maxillary right primary first molar was 11.9%, the premature date of the maxillary left first molar was 9.5%, while the mandibular left first primary molar had a premature date of 7.1%, and in the premature date of the mandibular right primary first molar was 19.05%. The conclusion from the results of this study is that the incidence of premature first molar dates in children aged 6-9 years at RSGM UNEJ in 2020 is most commonly found in the mandibular right first molar at 19.05%
Axiological role of emotionality

The paper explores the specificity of emotional processes, within total mental dynamics of personality. It is explained that they have both subjective and objective dimension, that they concern the selection of individual attentional priorities, but also seeing the objective order of values. The characteristics of emotional evaluation are considered and the optimal form of human emotions is examined. Incorrect and correct emotions are differentiated, whereby formal meaning of super-subjective correctness, that is, the value dignity of man?s emotionality is explained. Certain relevant aspects of axiological understanding of emotions at Max Scheler and Ronald de Sousa are compared. Finally, the author presents arguments in favor of his own thesis that the objective dignity of not only individual emotions, but also the total emotional life of personality is attainable.
Embedding 3-D Gaze Points on a 3-D Visual Field: A Case of Transparency

The paper seeks to demonstrates the likelihood of embedding a 3D gaze point on a 3D visual field, the visual field is inform of a game console where the user has to play from one level to the other by overcoming obstacles that will lead them to the next level. Complex game interface is sometimes difficult for the player to progress to next level of the game and the developers also find it difficult to regulate the game for an average player. The model serves as an analytical tool for game adaptations and also players can track their response to the game. Custom eye tracking and 3D object tracking algorithms were developed to enhance the analysis of the procedure. This is a part of the contributions to user interface design in the aspect of visual transparency. The development and testing of human computer interaction uses and application is more easily investigated than ever, part of the contribution to this is the embedding of 3-D gaze point on a 3-D visual field. This could be used in a number of applications, for instance in medical applications that includes long and short sightedness diagnosis and treatment. Experiments and Test were conducted on five different episodes of user attributes, result show that fixation points and pupil changes are the two most likely user attributes that contributes most significantly in the performance of the custom eye tracking algorithm the study. As the advancement in development of eye movement algorithm continues user attributes that showed the least likely appearance will prove to be redundant.
GEOGRAPHICAL INFORMATION SYSTEM ANALYSIS PBB BLOCK MAP (CASE STUDY DESA GAJAHAN KABUPATEN KARANGAYAR

&lt;p&gt;Geographic Information Systems (GIS) have become very interesting and provide hope and the development of information and communication technology. One of the efforts to support the management of PBB geospatial data is by developing a Spatial Data Infrastructure (IDS). To determine the quality of geospatial data used in PBB management and the condition and readiness of IDS for PBB. A GIS-based computer program was used it. This study aims to determine the quality of geospatial data used to manage PBB in Gajahan Village, Colomadu District, Karngayar Regency. We collected data using observation and documentation techniques and data analysis of the PBB Block Map using the Arcgis software. The results showed that the position was less accurate in terms of geospatial data quality and the geometric shape had similarities. Also, the digitized results of the PBB block map can be used to support policymaking in local governments. However, the results of interviews with village officials were that they could only read old maps and could not update new data.&lt;/p&gt;
The competitive environment and directions of Russian universities competition

This article is devoted to the description of the competitive environment of the educational system of higher education. The directions and forms of competition of Russian universities are revealed in accordance with the constructive theory of competition. The article describes the classical theoretical directions of competition: product, industry, intersectoral, and inter-product competition. Product competition is the competition between manufacturers of interchangeable goods in the same distribution channels. It is a rivalry between competing product brands for distribution, otherwise known as trademark competition. Industry competition is the competition between producers of goods using homogeneous, interchangeable resources. In fact, this is competition for resources between producers of one sector, while there may be no product competition in distribution and sales. Inter-product competition is the competition between substitutes from different industries, that is, between representatives of different industries - manufacturers of products that satisfy the same need. Cross-industry competition is the competition of corporate brands in marketing, the general competition of all brands to attract the attention of a certain segment of consumers. The article shows that all four directions of competition appears in their forms in the activities of Russian universities. The specific forms of competition between Russian universities are revealed. Competition among universities appears in different forms: for social authority and influence; for statuses, titles, and prestige; for exclusive intellectual property, massive data sets, and computing power; for the talents of students; for the talents of teachers; for budget funding; for grant, competitive financing; for donations and endowment funds. Special attention is paid to the forms of competition within partnerships and cooperation between universities. In this form, the bargaining power is used in the distribution of value between the participants in the partnership.
Rancangan Pengembangan Aplikasi Dokumentasi Clinical Pathway Berbasis Web

Clinical Pathway is a procedural model or service flow from a hospital to carry out clinical actions, usually starting from patient registration to patient discharge. The most important thing in implementing this Clinical Pathway is as a control function for the quality of hospital services. In practice, most of the procedural implementation is still done manually, meaning that it has not used a computerized system. Usually, Clinical Pathway s are written in the form of a form with action instructions on one side, and service time on the other. The amount of service time is converted into days based on clinical instructions, but this can also differ depending on the development of the disease or existing actions, for example, Clinical Pathway s for chronic diseases may have a number of weeks or months. The Clinical Pathway documentation application that will be designed is a web-based application that will be able to utilize the hospital's intranet/internet connection in its operation. This application is expected to be used as an answer to the need for faster, more effective, and measurable Clinical Pathway s implementation. In its design, this application will continue to use the concept of procedural stages as done manually (according to Standard Operating Procedures) which has been carried out by the hospital, only the application is already in a computerized system where every aspect of the User will be connected to each other. For the design stage, this application itself is only intended for certain diseases such as Ischemic Stroke or depending on the needs of the Hospital. The implementation for this application is still being carried out on a trial basis, the aim is to obtain temporary data on how to see the impact of using this application on the level of service of the hospital that will be the executor of the trial of this application.
A SysML-based Holistic Variability Modelling of Software and Systems Product Lines

Software and Systems Product Line (SSPL) engineering has shown capabilities to reduce costs and time to market. This is thanks to the creation and management of a common platform dedicated to develop a family of products. These latters can be a family of mobile phones, a family of different brake systems variants for automative needs, etc. Recently, more and more large-scale companies start to implement SSPL engineering in their domains by adopting Model-Based Systems Engineering (MBSE). Systems Product Line (PL) engineering is much broader than software PL engineering. Therefore, various aspects of variability (e.g. functional and quality attributes variabilities) have to be considered in MBSE. However, variability integrated in MBSE is still limited to functional variability. This paper contributes to enhance the SSPL modelling based on SysML by extending the SysML language. The principle aim is to include various aspects of variability. In fact, a holistic variability model is proposed to define the SysML extensions by means of the UML profiling mechanism. This permits to express variability constructs in different SysML modelling artifacts. We also present an application example namely the brake systems family extracted from Splot repository. We in fact, show how our SysML extensions are concretely used.
Educational Psychology Manifestations In Selected Teen Novels

The transition from childhood to adolescence provides a variety of experiences, stress and emotional turmoil to adolescents, especially in school.This indirectly requires the adolescents to manage their psychological elements wisely.One of the psychological elements that should be applied by the author in teen novels is educational psychology.In general, educational psychology is a branch of knowledge that discusses human behavior during the teaching and learning process.Starting from the opinion of literary scholars who stated the appropriateness of educational psychology elements applied by authors of adolescent novels in order to form, encourage and increase motivation in the learning of adolescents to pursue and achieve goals in their lives.In this regard, this study classifies and analyzes the psychological elements of adolescence found in the novel Bening Mata Seorang Dia (2019) by Adnie Bahiah.The Social Learning Theory founded by Albert Bandura was used as a basis in this study.Discussion found three dominant factors that influence the educational psychology of adolescent, which are family, teacher and environmental factors.
The Extent at Which Undergraduate Students Use the Internet for Reading

This study aims to investigate the extent at which undergraduate students use the internet for reading. The study specifically, (i) Examine the extent at which undergraduate students use the internet for reading, (ii) Investigate the difference on the extent of the use of internet for reading of male and female undergraduate students, (iii) Examine the difference of extent of the internet usage on reading of undergraduate students based on areas of specialization. The study was a descriptive research of survey type. A structured questionnaire designed by the researcher was used in data collection. A simple random sampling technique was used to select 150 respondents that were involved in this study from the University of Ilorin, Ilorin, Nigeria. Frequency count, mean and percentages were used to answer the research questions. Hypothesis one was tested with independent t-test while hypothesis two was tested using Analysis of Variance (ANOVA). All hypothesis were tested at 0.05 level of significance. The findings established that Undergraduates always use the internet for reading online news, E books, Email, Health information, Jokes, Comic strips, Fashion, Food/Nutrition and Sales information. Also, there was no significant difference between the extent of the internet usage on reading of undergraduate students based on gender and areas of specialization. It was however recommended that there is a need for extensive training program organized at regular interval so that all categories of users can improve their efficiency in the use of the internet.
Biblical education: An introduction

The Old and the New Testaments are not only the word of God and a source of wisdom that leads to salvation, but also a mine of knowledge and educational wisdom. One can speak of biblical pedagogy which in a sense is a synthesis of God’s wisdom revealed to the people of Israel and their educational experience which they gained in the centuries of their existence. Both the Old and the New Testaments, in their entirety, are a source of this pedagogy adopted by God with respect to the Chosen People as a whole and as individuals. For the educational practice of Christianity, the basic code of ethical norms contained in the Ten Commandments, i.e. the Decalogue, is of particular importance, applying to all believers. These are the rules of conduct that provide the basis in the formation and education of a new person. One cannot understand the principles of education based on the teachings of Jesus Christ without exploring the educational tradition of Israel and comprehending the pedagogy contained in the Old Testament. Jesus Christ did not reject this tradition. He used it to build on it, revealing its much broader and deeper perspective. The biblical pedagogy continues to be valid also in the conditions of the modern world.
Emostemmer: An Effective Program for Determining Emotions in Russian Using N-grams (Emotiograms)

Emotions and the analysis of their expression in texts is a topic of growing interest in recent years. Researchers are trying to create an intelligent machine that can not only read the text, but also determine its emotional state. The results obtained can be used to prepare the machine for future predictions of the emotional orientation of texts, their authors and readers. This text analysis can also be used to get feedback from people about a product or service, reaction to an event or government policy, etc. It includes syntactic as well as semantic text analysis. Parsing consists of identifying words that represent emotions in a text. For its identification, the stemmer plays an important role - the stem or root of the word. In many languages of the Romano-Germanic group, the identification of words representing emotions is much easier than in Russian, since one word represents emotion regardless of grammatical forms and genders. While for a language such as Russian, where the ending of an emotionally charged word changes depending on the genus, species, etc., the analysis becomes more complex. There are different methods of defining emotions in a text. This work focuses on identifying emotions from the text while limiting the complexity of the algorithm by requiring a minimum amount of memory and time. We have created the Emostemmer program, which is an N-gram stemmer (in which letters from words are grouped in a sequence of 2 letters, 3 letters… ..N letters called N-grams) to identify words that represent emotions in the text. The performance of Emostemmer versus RuSentiLex was determined by training and testing a support vector machine classifier with both algorithms. The results of the work are described in detail below in the “Methodology” and “Discussion” sections.
A novel algorithm for secure and reliable coordinator election in distributed networks

Electing a reliable coordinator is a crucial task in peer-to-peer distributed network.The peer-to-peer distributed network comprises a number of peer entities.These member entities elect the coordinator entity by consensus [1][2][3].Different consensus algorithms exist for electing an entity as a coordinator and those are generally termed as coordinator election algorithms.The majority of the existing election algorithms focus on improving the performance measures in particular communication cost [4][5][6].As the entities in the system are networked and use message passing technique for communication and execution of distributed election algorithm, electing a reliable entity as a coordinator is a challenge.The unreliable communication channel used in message passing makes the election algorithm vulnerable to security attacks [7,8] The unauthorized access may result in a security and privacy attack which includes the impersonation and denial of voting attack [9,10].
Removing Rain Component from A Color Image

It is well-known that a bad weather, e.g. haze, rain, or snow affects severely the quality of the captured images or videos. Also raindrops adhered to a glass window or camera lens can severely affect the visibility of background scene and degrade the image quality, which consequently degrades the performance of many image processing and computer vision system algorithms. These algorithms are used in various applications such as object detection, tracking, recognition, and surveillance also in navigation. Rain removal from a video or a single image has been an active research topic over the past decade. Today, it continues to draw attentions in outdoor vision systems (e.g. surveillance) where the ultimate goal is to produce a clear and clean image or video. The most critical task here is to separate rain component from the other part. For that purpose, we are proposing an efficient algorithm to remove rain from a color image.
Segmentasi Perkebunan Kelapa Sawit dengan Data Mining Teknik K-Means Clustering Berdasarkan Luas Areal, Produksi dan Produktivitas

The oil palm is the most productive plantation product in Indonesia. Government strategies and policies related to oil palm plantations continue to be carried out considering that the plantation area is increasing every year. Segmentation of oil palm plantations based on area, production, and productivity aims to identify groups of potential oil palm plantations in the territory of Indonesia. This segmentation can provide consideration in formulating strategies and policies that will be made by the government. The segmentation method for grouping oil palm plantations uses the K-Means Clustering Data Mining technique with 3 clusters specified. Data mining stages start from data collection until representation is carried out, where 34 data sets are collected, only 25 data sets can be processed further. The results of this grouping obtained three plantation segments, namely 72% of the plantation group with low potential, 20% of the plantation group with medium potential, and 8% of the plantation group with high potential.
Supplemental Material: Uneven spatial sampling distorts reconstructions of Phanerozoic seawater temperature

Additional information regarding data preparation, analysis, and study limitations.&lt;br&gt;
The strongest link: libraries and linked data

Since 1999 the W3C has been working on a set of Semantic Web standards that have the potential to revolutionize web search. Also known as Linked Data, the Machine‐Readable Web, the Web of Data, or Web3.0, the Semantic Web relies on highly structured metadata that allow computers to understand the relationships between objects. Semantic web standards are complex, and difficult to conceptualize, but they offer solutions to many of the issues that plague libraries, including precise web search, authority control, classification, data portability, and disambiguation. This article will outline some of the benefits that linked data could have for libraries, will discuss some of the non‐technical obstacles that we face in moving forward, and will finally offer suggestions for practical ways in which libraries can participate in the development of the semantic web.
Analysis of equivalence of parallel variants in discrete mathematics tests

Different studentswere given questions in 10 variants. It was tested if all parallel variants of test questions were equivalently difficult.
Penerapan Convolutional Neural Networks untuk Mesin Penerjemah Bahasa Daerah Minangkabau Berbasis Gambar

One of efforts by the Indonesian people to defend the country is to preserve and to maintain the regional languages. The current era of modernity makes the regional language image become old-fashioned, so that most them are no longer spoken. If it is ignored, then there will be a cultural identity crisis that causes regional languages to be vulnerable to extinction. Technological developments can be used as a way to preserve regional languages. Digital image-based artificial intelligence technology using machine learning methods such as machine translation can be used to answer the problems. This research will use Deep Learning method, namely Convolutional Neural Networks (CNN). Data of this research were 1300 alphabetic images, 5000 text images and 200 vocabularies of Minangkabau regional language. Alphabetic image data is used for the formation of the CNN classification model. This model is used for text image recognition, the results of which will be translated into regional languages. The accuracy of the CNN model is 98.97%, while the accuracy for text image recognition (OCR) is 50.72%. This low accuracy is due to the failure of segmentation on the letters i and j. However, the translation accuracy increases after the implementation of the Leveinstan Distance algorithm which can correct text classification errors, with an accuracy value of 75.78%. Therefore, this research has succeeded in implementing the Convolutional Neural Networks (CNN) method in identifying text in text images and the Leveinstan Distance method in translating Indonesian text into regional language texts.&#x0D;
Mind Mapping Assisted Talking Stick Learning Model on Speaking Skills

Low student speaking skills can result in a less active learning process. This research aimed to know the talking stick learning model's significant effect with mind mapping for speaking skills in fifth-grade students. This research was quasi-experimental research with used non-equivalent post-test only control group design. The population in this research was 125 students, and the sample of this research amounted to 45 students who were determined by a simple random sampling technique. Data on students speaking skills were collected using the non-test method in the form of assessment for work. Data on speaking skills were analyzed using descriptive and inferential statistics. Based on the analysis results, the average experimental group was 77.14 while the control group was 70.625 and (tcount = 2,682 &gt;ttable = 1,68107). This research shows a significant effect of the talking stick learning model with mind mapping for speaking skills on fifth grade. Based on these findings, it can be concluded that the talking stick learning model with mind mapping affects speaking skills in fifth-grade students.