Reviewerly/exHarmony huggingface dataset:
Crime Pattern Analysis, Visualization and Pridiction Using Data Mining

Crime against women these days has become problem of every nation around the globe many countries are trying to curb this problem. Preventive are taken to reduce the increasing number of cases of crime against women. A huge amount of data set is generated every year on the basis of reporting of crime. This data can prove very useful in analyzing and predicting crime and help us prevent the crime to some extent. Crime analysis is an area of vital importance in police department. Study of crime data can help us analyze crime pattern, inter-related clues&amp; important hidden relations between the crimes. That is why data mining can be great aid to analyze, visualize and predict crime using crime data set. Classification and correlation of data set makes it easy to understand similarities &amp; dissimilarities amongst the data objects. We group data objects using clustering technique. Dataset is classified on the basis of some predefined condition. Here grouping is done according to various types of crimes against women taking place in different states and cities of India. Crime mapping will help the administration to plan strategies for prevention of crime, further using data mining technique data can be predicted and visualized in various form in order to provide better understanding of crime patterns.
Software Quality Management for open Source Software Based on Louvain Parallelization Heuristic and Greedy Discritized Optimization

Designing reliable software product is becoming more difficult as software becomes ubiquitous and is deployed on software quality management. Software quality detection has become the fundamental operation. Any changes made in the source lines of codes of software products has an adverse effect on the long run and therefore compromising the scalability and reliability of software product users. Few research works have been introduced in existing work for software quality prediction using various data mining techniques. But, scalability and reliability of software quality management was not enough. Besides to that, the time required by the conventional research work for performing the service provisioning was too high. For that reason, the proposed research work is concentrated to address these issues by providing the higher scalability and reliability with minimum amount of time consumption for service provisioning during the software quality management process. Thus, the research work introduces the proposed Louvain Parallelization Heuristic Based Greedy Discritized Optimization (LPH-GDO) Model for performing fast software quality prediction in a significant manner. In this present work, the experimental evaluation of LPH-GDO Model has been conducted on metrics such as scalability, service provisioning time and software reliability with respect to different size of software program code.
Respon Berbagai Jenis Kotoran Ternak Sebagai Media Tumbuh Terhadap Densitas Populasi Maggot (Hermetia illucens)

The aim of this research were to know the effect of various types of livestock manure as maggot growing media on maggot population density and to know various types of livestock manure as maggot growing media that can provide the best results on maggot population density. The study was conducted using a Randomized Block Design Method with 4 treatments with 5 replications as a group, A = broiler manure 50% + tofu waste 50%, B = laying hens manure 50% + tofu waste 50%, C = manure pork 50% + tofu waste 50% and D = 50% cow manure + 50% tofu waste. The result of this study is that various types of livestock manure as maggot growing media have no effect on the maggot population density. Keywords : Livestock manure, maggot, population density.
Research Key Techniques of Data Security in Public Cloud

Internet working security has become one of the biggest uprising points of concern now days. People are getting attached more and more to the internet in order to fulfill their demands. Not only customers but also the IT based companies are also getting themselves relying on up growing technology called as cloud computing. Cloud is a branch of computer science that provides the services on lease. In this paper we will make a comparative analysis of various technical security issues towards cloud computing, cloud deployment based security and model based security issues. A comparative analysis has been made at the end of the paper.
Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment

Brodeur et al. (2020) study a large number of hypothesis tests from top economic articles and find evidence for p-hacking or publication bias, in particular for articles using DID or IV as causal identification method. We show that a crucial continuity assumption is violated because many collected estimates and standard errors are reported with just a single significant digit. These rounding errors cause bunching of computed z-statistics at exactly 2. We adjust for rounding errors and then find no evidence for p-hacking or publication bias in the DID and pooled data, but evidence remains for IV.
Digitization of Library Resources in Higher Education Institutions in La Union, Philippines

Abstract This descriptive research determined the extent of implementation of the guidelines on digitization of resources in the libraries of HEIs in La Union along selection, technical requirement and implementation, legal aspects, budget, human resource planning, development and maintenance, preservation of digital content and project management; and the strengths and weaknesses on digitization of resources. Data gathered using the validated and pretested questionnaire was treated using percentage, ranking, and weighted mean. A total of 40 library personnel participated in the study. The implementation of the guidelines on digitization of resources in the libraries of HEIs in La Union, Philippines was found to be moderately implemented and is relatively weak. A Digitization Manual Model was formulated to address the identified weaknesses. Through these guidelines and procedures, library personnel will have clear guidelines as to how digitization activities must be done. It will serve as a framework that will provide effective and efficient digitization.
Frequenly Ask Question (FAQ) Chatbot for New Student Admission System Using Natural Language Processing at Politeknik Aisyiyah Pontianak

CS (customer service) is a crucial part in an agency that deals with customers, including universities. Especially on the part of the new student admissions committee. However, the ability of CS handled by humans is very limited. In addition, the questions asked are often repeated. So we need an AI-based chatbot (Artificial intelligence) to answer questions from prospective new students. The purpose of this research is to design and build a chatbot system using NLP (natural language processing) to assist the CS of the new student admissions committee at Aisyiyah Polytechnic Pontianak in handling questions from prospective new students. This study uses the NLP method to recognize natural language input from the user. For the weighting of the answers using TF-IDF and cosine similarity. The chatbot system is implemented in the python programming language. The messaging application used is Telegram using the AIOGRAM library and BotFather as a provider of bots on Telegram. This research resulted in a chatbot application using Telegram which was built using the Python programming language and has been trained to recognize the natural language input from the user. From the test results obtained a recall rate of 88% and a precision of 66%. The chatbot application that was built can help the new student admissions committee in serving questions for prospective new students. The evaluation results show that the built chatbot is able to answer questions from users well.
MENINGKATKAN KEMAMPUAN BERBICARA BAHASA INGGRIS DENGAN MENGGUNAKAN STRATEGI ACTION LEARNING PADA MAHASISWA KESEHATAN MASYARAKAT DI INSTITUT KESEHATAN DELI HUSADA DELI TUA

The aim of this study is to improving the students’ speaking skill in English Spesific Purposes by using action learning strategy. This research was conducted by using Classroom Action Research (CAR). The subject of this study is college students of Public Health students in third semester which consisted of 48 students. The objective of this research was to improve students speaking English skill by using Action Learning strategy at Third Semester Students of Public Health at Institut Kesehatan Deli Husada Deli Tua. This research was conducted in two cycles which each consists’ of planning, acting, observing, and reflecting. The data were gathered through quantitative and qualitative data.The result of this study showed that there was increasing of students in speaking skill by usingaction learning strategy than Traditional Strategy. The mean of pre-test was 60. The mean of post-test 1 was 76.05. The mean of post-test 2 was 83.22. It means that the scores and the mean in second cycle were better than the first cycle$. The percentage of students who got point >75 also grew up. In the pre-Test, the students who got point >75 up were 4 students (9.09%). In the post-test of cycle 1 students who got point >70 up were 30 students (68.18%). The post-test of cycle 2, students who got point >75 were 38 students (86.36%)$. The conclusion based on data above the students’ speaking ability improved by using action Learning Strategy that can be proved by value in speaking improved in the first meeting to the next meeting.
Coh-Metrix와 VocabProfile를 활용한 수능 영어 독해 지문의 분석 : 2016-2019년 4년을 중심으로

The present study attempted to analyze the reading passages of CSAT(Collage Scholastic Aptitude Test) from 2016 to 2019, which included two years of data before and after criterion-referenced testing was introduced. The categories analyzed are as follows: descriptive analysis, lexical diversity, syntactic complexity, cohesion index, readability index, and vocabulary frequency. Two different types of analysis were conducted by using web-based software, Coh-Metrix and VocabProfile. The ANOVA results suggested that there were no substantial differences between two different types of testing approaches: norm-referenced vs. criterion-referenced testing. Rather, the results showed considerable consistency in terms of syntactic complexity, lexical diversity, cohesion, or vocabulary frequency between the two types of testing. The study calls for further research on the construct validity of CSAT in order to provide rationale for the criterion-referenced testing and its usefulness in this educational context in Korea.
DESIGNING OF THE EDUCATIONAL PROCESS: FROM TRADITIONS TO MODERN TRANSFORMATIONS

The article is devoted to the organization of project activities in preschool educational institutions. The project method is presented as a way to implement the tasks of competency-oriented education, aimed not at integrating factual knowledge, but at their application and acquisition of new ones. The article reveals the essence of the introduction of project activities in the educational process of preschool education as a promising area of work that promotes the education of independent creative personality, able to make decisions, set goals, plan the activities and predict the results. The application of the project method in preschool education aims to stimulate children's interest in certain problems and solve them through activities, as well as the practical application of acquired knowledge and empowering children in self-realization. Project activity is one of the most promising components of the educational process, because it creates conditions for creative self-development and self-realization of preschoolers, forms all the necessary life competencies: multicultural, speech, informational, political and social. Independent acquisition of knowledge, their systematization, the ability to navigate in the information space, see the problem and make decisions happens through the project method. The variability and variety of content, methods and techniques of teaching and educating preschoolers requires a joint effort of teachers to radically change approaches to working with children, to reorient each employee to keep the child in the center of attention. Through innovative approaches to the content and forms of methodical work, in particular through the introduction of the project method in the work of preschool education, the actual tasks of increasing the professional skills of teachers are realized.
Supporting Software Development Task Understanding by Visualizing Operation History

Edit operation history of source code can be used to understand how the software has been developed. However, since such an edit history is enormous, it is effective to first grasp the outline of development and then look at the details, although existing tools do not well support the process. In this paper, we propose Edited Method Highlight (EMH), which extends an existing operation replay tool called OperationReplayer to support understanding of development tasks by visualizing the recorded operation history. The visualization shows the transition of edited parts (classes and methods) and specific types of operations (debugging and committing) on the timeline displayed in the replay tool. We conducted a preliminary experiment to examine whether users could share a common understanding of task outlines. The result shows they reported task kinds with similar word sets while reported time stamps of task boundaries and word sets for developed functions in each task were various. This paper also discusses several success and failure factors to reach common understanding of development tasks.
Layanan Daring Perpustakaan Perguruan Tinggi dan Sikap Terhadap Kepuasan Mahasiswa Pada Masa Pandemi COVID-19 di Provinsi Riau

The purpose of this study was to determine the effect of online library services and attitudes on student satisfaction. Either partially or simultaneously. Using a survey method with correlational techniques. Respondents were 300 students taken from 20 universities, using quota sampling technique. The research instrument used a questionnaire, Likert scale model. The data analysis technique used is descriptive statistical analysis techniques and inferential statistics. The results showed that: (1) There was an effect of online services on student satisfaction, with a correlation coefficient (r) of 0.275. This shows that the strength level of the relationship is weak. And the coefficient of determination R Square (r2) 0.073. This means that the effect of variable X1 on Y is only 7.30%. (2) There is no influence of student attitudes on satisfaction, the correlation coefficient (r) is 0.005. This shows the level of strength of the relationship is very weak. And the coefficient of determination R Square (r2) 0,000. This means that the variable X2 has no effect on Y (0.00%). (3) There is an effect of online library services and attitudes simultaneously on student satisfaction, with a multiple correlation coefficient (R) = 0.271. This shows that the level of strength of the relationship is simultaneously weak. The coefficient of determination R Square is 0.073, which means that the simultaneous influence of the variables X1 and X2 on student satisfaction is only 7.30%. The results of this study are very useful for the improvement and improvement of online library services, especially during the COVID-19 pandemic in Riau Province. The conclusion of this research shows that student satisfaction cannot be fulfilled properly if only seen from the aspects of online services and attitudes.
Breast diagnostic based on mammography data using deep learning

This work investigates the usage of a deep learning model to support breast diagnostics from mammographic image data [1]. We are collaborating as a beta-tester on the NYU Breast Cancer Classification Meta-repository. Medical images were obtained for testing from a Brazilian Federal Hospital - HUCFF and a database at IEN have been created for research continuity. The main objective is to evaluate a model that could improve radiologist clinical routine, a computational system (Figure 1) for breast cancer diagnostic for standardization and improvement of deep learning in breast cancer for data owners and developers that has the entire pipeline encapsulated in a Docker container [2]. It includes ready-to-use Docker images of screening mammography models.
Taking ownership of stories and shows

A producer may not be responsible for creating all the content included in a newscast, field report, or online news package. However, the producer is often the point person for the final result. Chapter 14: Taking Ownership of Stories and Shows guides aspiring producers in creating a system that helps them assume full ownership for their given project by creating a checks-and-balances system, enforcing a clear deadline policy, and delegating duties with a purpose.
Application of Morphosyntactic Cues in Detection of GOAL Semantic Role

This paper analyzes the semantics of verbs with the prefix “do-” and explains the adlativity feature based on the morpho-syntactically annotated corpus hrWaC and handcrafted verb valency frames. The work aims to automatically add all types of adlativity to Croatian verb valency lexicon. As a result, it was revealed that if a language resource encodes “do-” as the adlative prefix in Croatian as a source language, then the adlative meaning in the target language can be assumed as well. Using the valency frame transition rules for language pairs, it is possible to design matching verb valency frames in other languages and consequently describe each verb and its translation by semantic roles (agent, patient, direction-to, and goal) and by selectional restrictions.
Improving the Ability to Present Information in the Form of Writing Stories Through Interactive Learning Media

Writing stories can start when students are in elementary school. Through story writing activities students can express their feelings, ideas, and ideas to others. Based on the results of interviews and observations conducted on January 20, 2021, the 5th grade homeroom teacher of SDN 5 Sudimoroharjosiswa felt bored in online learning during the pandemic. This can be seen from the students' writings that do not match the information. The writing of stories that do not match this information can be seen from one of the students who did not write down sports activities where there are pictures of people who are exercising. This study aims to determine the ability of students to present information in the form of stories through interactive image media based on thinglinks for grade 5 students at SDN 5 Sudimoroharjo, Nganjuk Regency. Based on the results of research on the use of interactive image media based on thinglink in Indonesian language learning, the material for retelling the sequence of events in fictional texts according to the background of the story has been carried out, it can be concluded that: (1) The implementation of learning using interactive image media based on thinglink is carried out according to the steps of learning activities which uses the project based learning model very well so as to increase the activities of teachers and students. This is evidenced by the increased activity of teachers and students in cycle I to cycle II. The average percentage of teacher activity in the first cycle is 82.85% with good criteria increasing to 10.01% to 92.86% with very good criteria in the second cycle. While the average student activity from the first cycle is 77, 86% with sufficient criteria increased to 11.43% to 89.29% with good criteria in cycle II. (2) The application of learning using interactive image media based on thinglinks can improve the ability of V SDN 5 Sudimoroharjo students, Nganjuk Regency, in retelling the sequence of events in fictional texts according to the background of the story. This is evidenced by the increase in student learning outcomes when in the skill aspect with the average value in the first cycle of 74 increasing to 89.5 in the second cycle. In addition, the percentage of student learning completeness also increased starting in the first cycle, namely 60.71% with less criteria, increasing by 39.29% to 100% with very good criteria in the second cycle. For teachers, it is recommended that if doing learning using interactive image media based on thinglinks, they should do a trial before being used by students.
Integration eines digitalen Maschinenparks in ein Forschungsdatenmanagementsystem

The global trend towards comprehensive digitization of technologies in product manufacturing leadings to radical changes in engineering processes and requires a new, expanded understanding in the handling of data.Especially in large interdisciplinary projects with several subprojects, the use of a research data management (RDM) system is necessary.This paper describes the concept to realise a FDM system according to FAIR (Findable, Accessible, Interoperable, Reusable) data principles and using open source systems.The approach is explained on the example of a digital machine park within the Collaborative Research Centre Oxygen-free production (CRC 1368).
Econometric Models for Quantifying the Impact of Macroeconomic Variables on the Configuration of Banking Assets and Liabilities

The management of banking assets and liabilities is one of the most important processes in a banking system, and this shows that everything must be done very clearly and very efficiently, being very large amounts and underlying this process that would not must be wrong and not allowed to lead to errors, as they could translate into significant losses for banks in the system and sometimes into insolvency, which could even lead to destabilizing the banking system in a country. Thus, it is necessary for the process of managing banking assets and liabilities to be carried out efficiently, and for the back models to be rigorously constructed. Taking into account these aspects, I tried to build several econometric models that could be used to manage assets and liabilities in the Romanian banking system. Thus, for the management of banking assets or liabilities, I consider it necessary to know which are the variables that can influence their dynamics and which are the elements that must be taken into account. I mention that the analysis will be performed at the level of the entire banking system in Romania to form an overview, the built models can be used even by decision makers in commercial banks to substantiate decisions on the management of banking assets.
Lingual Behavior in Clarinet Articulation: A Multiple-Case Study Into Single and Double Tonguing

Articulating notes on the clarinet requires the control of many factors, one of which is the behavior of the tongue. It is hypothesized that one of the mechanisms to produce notes in the altissimo (highest) register involves the lowering of the tongue dorsum. The study sought to answer the question of whether different tonguing techniques interfered with the required lowering of the tongue dorsum in this register, making adequate note production difficult. Four professional clarinet players performed diatonic scales across the chalumeau, clarion, and altissimo registers using two techniques—single and double tonguing. Movements of the tongue dorsum and tongue blade were recorded with 3D Electromagnetic Articulography. The movement data revealed that, for all players, a low position of the tongue dorsum was indeed associated with a higher success rate of producing adequate notes in the altissimo register. Single tonguing was the most effective technique due to ability of the tongue dorsum to lower during the highest register. For three of the four players, failed note production in the altissimo register when performing double tonguing related to a high tongue dorsum position; one participant, however, was successful in performing double tonguing in the altissimo register, despite a high tongue dorsum position. This latter finding suggests player-specific strategies to successfully realize double tonguing in the altissimo register.