Reviewerly/exHarmony huggingface dataset:
THE IMPORTANCE OF SINGING IN MUSIC EDUCATION CLASSES

In teachings of music education, the songs have the most important part. It is part of different music activities not only with children in kindergartens and primary schools but also with older pupils. Singing in general will always have a special importance and a very big influence in the development of pupils. It is the best way of introducing life and helping them develop their personality emotionally. During singing pupils develop not only their music abilities but also their ability to concentrate, their ability to work in groups, their emotional development, etc. Thru singing pupils will get to know different expressing forms that are acceptable for them (and appropriate for their age), also they get to know different music expressions, which will help them progress on understanding and feeling the music much more emotionally during interpretation. The most effective and appropriate way is the combinations of the text and the melody in a complete song, this also will help them tremendously in their music education. Knowing the importance of this topic this research will be dedicated to helping understand and clarify the importance of singing.
Finding a good fit faster: Tips for writing query letters to LIS journals

For many librarians, the idea of publishing in a scholarly journal is intimidating, especially for those pursuing tenure or promotion. You may have an idea for an article or even several, but you’re not sure what journal would want them. When we hear such uncertainties from our colleagues, we ask, “Have you considered writing a query letter?” Almost always the answer is “no,” but after people try it, they seem to appreciate the benefits we’ve come to enjoy from this simple practice. In this article we offer practical advice based on our experiences with query letters, supplemented by findings from a survey of more than 50 LIS journal editors. We have extensive publishing and reviewing experience in LIS journals. We define a query letter as an informal email to the journal editor concerning the suitability of a manuscript for publication in a given journal.
Proposal of Automatic Trash System of Pet Litter Sheet

In late years the people breeding a pet increase. As a lot of infectious diseases derived from an animal exist, there might be the infection from a pet. Infection from excrement is confirmed in one of the infection routes. Therefore, we suggest a system folding a pet litter sheet without a person touching the excrement. This system consists of seven servomotors. It is completed in what fold along the fold of the pet litter sheet. At first, it divides a long side into three. It folds the right and left. Then, it moves an axle 90 degrees. It also folds it equally. Finally, it trashes it to a trash box. Therefore, it leads to the infection prevention than the above because the owner can trash a pet litter sheet without touching it.
Words Review Method: Peningkatan Keterampilan Mendengarkan (Listening) Mata Pelajaran Bahasa Inggris pada Siswa SMA Negeri Sugihwaras

This study aims to improve listening skills for students of SMA Negeri 1 Sugihwaras through the application of review words method. This study is based on the low interest of learners towards listening. Students think that the learning delivered by educators and the methods used are boring and do not vary. This study uses experimental methods by giving treatment or action to learners through a strategy of listening, repeating, saying, in listening learning using a series of observation sheets. The results showed that the method of listening, reworking Review Words Method, said, as one of the efforts to improve the listening power is very effective and provide a significant improvement of listening skills for students.
ON A METHOD FOR SOLVING A LINEAR BOUNDARY VALUE PROBLEM FOR A SYSTEM OF INTEGRO-DIFFERENTIAL EQUATIONS CONTAINING THE PARAMETER

In the present work for a limited period, we consider the system of integro-differential equations of containing the parameter. The kernel of the integral term is assumed to be degenerate, and as additional conditions for finding the values of the parameter and the solution of the given integro-differential equation, the values of the solution at the initial and final points of the given segment are given. The boundary value problem under consideration is investigated by D.S. Dzhumabaev's parametrization method. Based on the parameterization method, additional parameters are introduced. For a fixed value of the desired parameter, the solvability of the special Cauchy problem for a system of integro-differential equations with a degenerate kernel is established. Using the fundamental matrix of the differential part of the integro-differential equation and assuming the solvability of the special Cauchy problem, the original boundary value problem is reduced to a system of linear algebraic equations with respect to the introduced additional parameters. The existence of a solution to this system ensures the solvability of the problem under study. An algorithm for finding the solution of the initial problem based on the construction and solutions of a system of linear algebraic equations is proposed.
View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data

We present an algorithm based on multi-layer transformers for identifying Adverse Drug Reactions (ADR) in social media data.Our model relies on the properties of the problem and the characteristics of contextual word embeddings to extract two views from documents.Then a classifier is trained on each view to label a set of unlabeled documents to be used as an initializer for a new classifier in the other view.Finally, the initialized classifier in each view is further trained using the initial training examples.We evaluated our model in the largest publicly available ADR dataset.The experiments testify that our model significantly outperforms the transformer-based models pretrained on domain-specific data.
GOVERNMENT POLICIES MODELING IN CONTROLLING INDONESIA'S COVID-19 CASES USING DATA MINING

Since the positive case of covid-19 in Indonesia, the government has taken several policies with the purpose of controlling the spread of the covid-19 virus, which has been regulated in Government Regulation No. 21 of 2020. The purpose of research is to obtain a model of government policy in controlling cases of covid by using data mining classification techniques, and obtain attributes that have the greatest weight, as well as look at the impact of policies that have been carried out by the government on the cases of covid-19 in Indonesia. The methodology used in the research is Knowledge Discovery In Database (KDD). Based on the research that has been done, it can be concluded that the policies that have been done by the government in controlling cases of covid-19 can be said to be successful, the C4.5 algorithm is the algorithm that gives the best results compared to the Deep Learning algorithm, as well as the attribute that has the greatest weight is cancel public events. Secondary data will be used in this research.
TEACHING STUDENTS’ READING COMREHENSION BY USING GENERATING INTERACTION BETWEEN SCHEMATA AND TEXT (GIST) STRATEGY

The thesis was a pre-experimental research in form of one group pre-test post-test design conducted in one of junior high school in west borneo which consisted of 31 students’ and it was examined with cluster random sampling technique. The technique of data collection applied in this research was measurement technique. The data were collected through multiple choice test. The pre-test and post-post-test were conducted in order to collect the data from the students. The data were analyzed by using descriptive statistic. The research finding showed that GIST strategy was effective on reading comprehension, it was proved by the mean score during pre-test and post-test were 52, 88 and 63, 30 which meant that there were difference before and after treatment. Lastly it was proved by t-test value, sig value was smaller than α (0, 00 0, 05) which meant that Ha was accepted. The effect of the use GIST strategy was moderate effect level based on the Cohen’s effect. It was 0, 56 which meant that moderate effect to increase students’ reading comprehension.Keywords: Generating Interaction between Schemata and Text (GIST), Reading Skill, and Pre-Experimental Research.
ANALISIS KEAMANAN WEBSITE UNIVERSITAS INTERNASIONAL BATAM MENGGUNAKAN METODE ISSAF

With the support of various types of media for delivering information, technological developments change over time. To facilitate access to information, one of them can use the media website. With the development of website technology, more and more parties are using it as a supporting medium for information transmission, including educational institutions in Indonesia. However, many administrators do not understand the security of the website created but pay more attention to the appearance and function of the website. As a result, there were cases of hacker attacks on websites that resulted in data leaks and changes in website appearance. Therefore, it is important to realize the importance of website security to prevent leakage of important data. Because there have been cases of hacker attacks that have occurred several times, the researchers conducted a security analysis of the main website of the Universitas Internasional Batam Institute using the ISSAF method.
Difficulties in Developing Idea Encountered by Students in Writing Argumentative Essay

Writing is one of the most important skills that have to be mastered in the art of language learning. In the university level, EFL students have essay writing subject that requires them to write many types of essay, among those being the argumentative essay. In writing an essay, they need to be able to develop their own original ideas, despite the fact that some of them still consider this a difficult task. This research is aimed to highlight set of difficulties encountered by students that are assigned to develop ideas whilst writing argumentative essay. This research was conducted at Pakuan University and involved 23 students as participant of this study. Qualitative method and descriptive analysis are applied in conducting this research. To gain the research data, three research instruments were used, they are: documentation, questionnaire and interview. Documentation instrument was used to analyze students’ work of argumentative essay. The questionnaire was administered to all participants and the interview was conducted once for each student. This study reveals that the students still have some difficulties in constructing thesis statement, organizing paragraph, making writing coherent and combining ideas in correct sentences. Finally, the result of this research may urge the students to improve their writing skills and provide the teachers to explore more on teaching writing practices.
Modul Pembelajaran Berbasis Saintifik Dengan Metode IOC (Inside Outside Circle) Pada Pelajaran IPS Kelas V SD/MI

The purpose of this study was to determine the feasibility and process of developing a scientific-based social studies learning module using the IOC (Inside Outside Circle) method for grade 5 SD / MI. The method used in this research is Sugiyonos Research and Development (R&amp;D) method. Sugiyonos Research and Development (R &amp; D) method has 10 stages but in this research it is only limited to the expert / expert validation stage this is due to the Covid-19 pandemic which has made the face-to-face learning process in schools shifted to online learning this raises several problems in the process research so that it does not allow researchers to test products to students. Data collection was carried out through the learning module validation process. The learning module is validated by 3 experts / experts, namely: linguists, design experts and material experts. The results of the validation trial show that the science-based social studies learning module with the IOC (Inside Outside Circle) method is valid. It is said to be valid because the science-based social studies learning module with the IOC (Inside Outside Circle) method developed has met the validity criteria with the "Valid" category with a percentage of language experts as design experts 80.2% and material experts 79% of the total percentage value of 100%.
Malicious Email Tracking System for Prevention of Malicious Code Delivered via Email

Despite the use of state of the artwork strategies to shield touching malicious packages, they maintain to threaten and damage pc structures around the arena.In this articles we existent MET, the Malicious Email Tracking device, designed to mechanically file records on the movement conduct of malicious software distributed through e-mail attachment together at a global and local degree.MET can assist decreasethe unfold of malicious software global, specially self-replicating viruses.Small quantity of site visitors (as an example, .1%) of a completely massive e-mail circulation is sufficient to come across suspicious.Consequently, moderately few MET connections would be vital to acquire enough information so that you can offer vast protection services.
RELATIONSHIP BETWEEN TYPES OF PROFESSIONAL IDENTITY AND EDUCATIONAL MOTIVATION OF STUDENTS OF VARIOUS SPECIALTIES

The significance of the performed research lies in the study of the contribution of the level of formation of educational motivation to the formation of the professional identity of students of various specialties. The features of the relationship between the type of professional identity and the educational motivation of students of various specialties are revealed. Prospects for the further successful (non-successful) course of educational activities of students of various specialties are formulated.
Causal Discovery using Dimensionality Reduction Partial Association Tree

Decision tree is a model to classify data based on labelled attribute values.This model is a supervised learning approach through which one can classify a new entry into an appropriate class.If we want to know the cause behind this classification then decision tree cannot provide the same.When we infer causes behind the classification then they will provide a rich knowledge for better decision making.Causal Bayesian Networks, Structural Equation Models, Potential Outcome Models are the some of the models that are used to get causal relationships.These models need experimental data.But it is not possible/ it is very expensive to conduct full experiments.So a model is needed to identify causes from effects from observational data rather than experimental data.In this paper a novel approach is proposed for causal inference rule mining which can infer the causes from observational data in a faster way and also scalable.Statistical tools and techniques named partial association test, correlation are used to develop the model.A new way of constructing a tree called Dimensionality Reduction Partial Association Tree (DRPAT) is introduced.Sometimes the existing causality cannot be extracted where low associated dimensions are involved in data and hiding the underlying causality and this model extracts causal association in case of hidden causality in data..The model is applied on "Cardiovascular Disease dataset" sourced from Kaggle Progression System.The result is a Partial Association Tree.From this tree one can get a set of causal rules which can form a basis for better data analytics and then the better decision making.
Hate Crime, Discrimination, Violence, Criminal La.

There is no doubt that freedom of expression and thought is guaranteed to everyone, and no person has the right to slander, derogate or abuse others in any form of expression, whether verbally, in writing, drawing, or with reference ... etc, because of his disagreement with him in opinion. The mere disagreement of opinion is a natural thing, and it is the way of advancement in life and treatment, except that what currently prevails is the opposite, as the difference of opinion is the beginning of public disagreements and boycott. Violence, as it falls within the framework of hatred and incitement to it, which makes it fall within the circle of criminalization and punishment legally. In view of the legal controversy raised by hate speech and incitement to it, the importance of this study appears in that it is based on clarifying the relationship between it and the freedom of expression of opinion and how to separate between legitimate expression that is prohibited or restricted, and expression that results in violations of other basic rights and harms the freedoms of humanity without discrimination. Thus, the problem of this study is determined in knowing what is legitimate and what is unlawful in the context of expressing an opinion and the means used to express it, and what is the legal methodology and legislative policy that countries follow in facing this type of crime in light of the escalating societal controversy about what is considered incitement to Violence, hostility or hatred, racial discrimination, and the occurrence of many incidents based on speeches of incitement and hat Accordingly, we wanted to evaluate this study as follows: First: The general concept of freedom of expression and the exceptions contained therein. Second: The legislative policy of states to confront and limit expressions of hatred.
Sistem Pakar Mendiagnosis Penyakit Pada Ayam Broiler Menggunakan Metode Teorema Bayes Berbasis Web

The need for chicken cannot be denied in Indonesian society, especially in the consumption of eggs and chicken meat so that it will affect economic growth. To produce healthy meat and eggs free of disease, breeders must pay attention to the health of their pet chickens. Starting from providing rations, vaccination and cage maintenance. Chicken disease is very susceptible to cage cleanliness and consumption of the food given. As for the scope of the problem in this study, namely disease in broiler chickens. The system used is a web-based expert system with the Bayes Theorem method. By applying the Bayes theorem method to expert systems in diagnosing broiler disease and designing an expert system application in determining broiler disease. Aims to assist breeders in dealing with diseases specifically broiler chickens and add to the list of references in applying the Bayes Theorem method to expert systems. Using testing with the PHP MYSQI application with the supporting tools.
Optimizing Test and Inspection Operations in Complex Engineering Products

Delivery speed and product cost are critical to both our customers and our shareholders.Test cost has historically represented a third or more of overall product cost.Testing requires considerable time investments as well, especially given the nature of products in the aerospace domain, and their safety demands.In this paper we describe work in use today at a large aerospace manufacturer to optimize test and inspection operations in complex engineering products.We extend Deming's work from the theoretical to application by applying a decision tree and data analytics to test information, resulting in significant savings in dollars and time for test and inspection operations.A bill-of-materials plus operations visualization is employed to initially identify test and inspection operation candidates for removal, and then Deming's work is extended in this paper to determine the business case for removal, resulting in a final approval by experts driven by the underlying data.The decision tree is described, as well as algorithms to estimate failure rate and rework costs that are integral to applying Deming's analysis.A small set of business case results for removing an inspection and a test operation using the applied analysis are shared.
Professional Training of Pedagogical Disciplines Teachers in the Master’s Education

The article deals with the actual theoretical and methodical problem of improving the professional training quality of pedagogical disciplines by future teacher in the conditions of the master’s studies. The attention is focused on the creation and implementation in the educational process of the of higher education institution the organizational and pedagogical conditions that ensure the formation of teacher’s readiness for professional activity. The purpose of the article is to substantiate the theoretical and methodological foundations of future teacher preparation on the basis of an andragogical model. The model is based on the organization of the future teachers’ independent work through the use of different theories and innovative technologies. Structural and functional model includes such elements as: aim, motivation, educational process organization, ways to activate students’ independent activity and its result as the readiness of higher education students to teach pedagogical disciplines in higher education institutions. The investigated work allows us to argue that the organization of the educational process on the basis of personal, contextual, theoretical, methodological and activity approaches with the use of undergraduate educational projects in the independent work provided the experimental methodology with sufficient efficiency.
Kompetensi Pustakawan di Era Industri 4.0 dalam Menghadapi Information Overload

&lt;p&gt;Introduction: The phenomenon of information overload experienced by the Indonesian people has caused many problems ranging from a decrease in the level of public awareness in understanding the validity and accuracy of information sources to changes in public information behavior. One of the problems in the flood of information is the increase of publications both scientific and popular which are the daily consumption of society which is very relevant to the librarian in the current situation and in the future. Methodology: This research was conducted qualitatively by collecting data from literatures that relevant to the research theme. The collected data was then identified to find patterns that match the research objectives, namely to find out the competence of librarians that is relevant for the industrial era 4.0. Discussion: The results show librarians need to have strategies in developing new ways to help people direct and focus their search for finding documents or information that are accurate and valid. Conclusion: It is known that the information overload phenomenon is one of the hallmarks of this industrial 4.0 era so that it requires the development of librarian competencies in maintaining their contribution and existence in the information society.&lt;/p&gt;
Breast Cancer Detection

Breast Cancer is a global problem currently. It is a disease which is a common cause of death for women worldwide. Earlier doctors used Mammography to find out that whether the person is suffering from it or not. But sometimes even Mammography was not able to detect whether the result is a yes or a no. for the detection of breast cancer, Machine Learning language can do wonders. Hence, we are making a web application which will tell whether the person is suffering from Breast Cancer in just a minute by giving the input. The input we have used is the Wisconsin Breast Cancer Dataset (WBCD). This web application will be very helpful for doctors and radiologists. Initially, we researched about Breast Cancer and its different treatments. But could not get any idea related to its detection process as any process did not surety. Hence, we came up with the Breast Cancer Detection Web Application.