Reviewerly/exHarmony huggingface dataset:
COMPARATIVE STUDY OF BUG REPORT SUMMARIZATION TECHNIQUES

Bug Reports are one of the very important artifacts during software development process and is one of the very popular artifacts of research among the researchers.Summarization is one application on bug reports which helps solve a lot of interesting issues of bug reports like bug triaging and bug duplicate detection.Many researchers have done research on bug report summarization using various techniques like supervised approaches, unsupervised approaches, deep learning approach, feature-based approach.In this paper, we have systematically evaluated the works and presented them in the comparative form.For our comparison work, we have selected five research papers among all.The papers are chosen with the thing in mind that all the important concepts which are getting used for bug report summarization gets covered.The paper discusses the approach, concept, strengths, limitations, tools if used, dataset used, the evaluation techniques and the performance results that are used or obtained in the chosen research works.Our work will help other researchers have a clear overview of the very popular works in this field and thus will help improve and carry out further works in this field of research.
LibGuides: Films in the National Film Registry: Resources about Films

This topic guide is designed to assist students in Mr. Rafalowski's English class with writing about films in the National Film Registry.
Formation of figurative skills in children of elementary school age with impaired mental development

Scientific interests the special methods of the Ukrainian language and manual labor
EVALUATION OF POLLUTION MORTALITY USING NARX AND NIO TIME SERIES PREDICTIVE ALGORITHM ON MATLAB

Mortality is an essential health effect of ambient air pollution and has been studied extensively.The earliest signal relates to fog occurrences, but with the advancement of more accurate methods of investigation and prediction, it is still possible to differentiate short-term chronological associations with day-to-day mortality at the historically low levels of air pollution now occurring in most developed countries.This paper studies and explores the methodologies for modeling, simulation, and controls in ANN-based on time series application of pollution mortality.To show and prove the effectiveness, simulated and operational data sets are employed to demonstrate the ability of neural networks in capturing complex nonlinear dynamics where NARX and NIO models are set up to explore and relate both steady-state and transient features on pollution mortality.The structures were configured, generated, and ran in MATLAB to create and train the platform.The validation, testing, and results validate that the techniques can be accurately applied, which implies both models effectively capture dynamics of the system up to a certain degree of acceptance.The associated parameters for the design and simulation are varied and set up according to the requirements which display that ANN can perform better than most conventional methods.Finally, it was established that NARX model outperforms more than the NIO model.
Expert System Software to Identify Damages Cars with Forward Chaining Method

This study shows for the development of expert system software to identify damage to the car that can display information in the form of a solution of the damage. This system was developed using PHP and MySQL software. This system works to be able to present damage identification information on the car that can provide the most actual solution to the consul, as well as present a detailed report when consultations have been made. The purpose of this expert system is to facilitate car users in knowing damage to cars, as well as facilitate car users in identifying damage to cars, so they can update knowledge in the form of symptoms and damage. The diagnosis made by the counselor is: a counselor registers before making the diagnosis. Then answer the questions that have been provided. Furthermore, after making a diagnosis, the results can be printed through the printer.
Designing Good(s)?

As design shifts from designing objects to designing for social transformation, there is an increasing need to address political dimensions within the design process. This paper explores those dimensions by drawing insights from the field of Science and Technology Studies. In doing so, we bring forward issues of ontological politics within social design processes, including: the recognition of situated knowledges, the multiplicity of reality, and the performative nature of methods. The implications of these issues are investigated through the examination of two practice examples in which different methods were used to support reflection on politics in social design processes. This research highlights the need to be more critical of the “good” that social design processes are working towards and the methods used to support political awareness. It also opens-up a host of new questions about how to address political issues amid the complexity and multiplicity of reality.
Essensi Media dan Teaching Media: Wejangan Untuk Pengguna

Abstract : Some teachers think that the use of teaching media in class is not so important. Probably they think so because they have adequate experience in teaching so that they can do their job with no barriers at all. Their ego drives them to a sort of contradictive assumption that playing with teaching media is a pointless job. In turn they are confident enough to throw a wild proposal to drop the teaching media from the curriculum. They try to argue further that the so called media is already integrated in every subject matter. Others, however, think that keeping as well separating this subject doesn’t cause any harm and laziness. On the other hand, it brings sharper insight to any users. To get rid of wild debate, vivid solution is then worth pointing in this article.Keywords : Teaching media, pengajaran, pembelajaran, seribu satu
Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies

Frequent pattern mining is an important problem in data mining research. As the big data time comes, the size of database increases sharply. How to mine frequent patterns efficiently from big transaction databases is always a challenge. An approach to the issue is to parallelize the mining algorithm. However, traditional parallel algorithms have issues in balancing workloads and in recovering from failures. Thus, a novel MapReduce-based parallel algorithm is proposed with three contributions. First, a hybrid mining strategy is proposed, which automatically shifts from breadth-first mining to depth-first mining and performs breadth-first mining and depth-first mining simultaneously. Second, a hybrid vertical data format namely mixset is applied in breadth-first mining, and a new method for transforming a mixset back to a horizontal data representation is proposed which facilitates depth-first mining. Third, strategies are proposed to reduce the number of candidates in breadth-first mining and to facilitate depth-first mining that avoids generating candidates, which saves both space and time. The experiments show that the proposed algorithm outperforms the existing MapReduce-based algorithms, and is quite scalable.
An Optimised Approach on Object and Text Detection from Real Time Data using Histogram Equalization Technique

The initiation of artificial intelligence, gave a curious approach towards the artificial neural networks.The developers are trying to make computers think and perform tasks just like humans.Artificial Neural Networks was developed with the view in mind to make computers to do so.The machines that are to be used in the field of robotics, medicines, industry needs to be so smart that they should be able to perform the day to day tasks easily without needing the human help.Take the case of self-driven cars, it is very crucial for the AI to make out the scenario in the real time and act accordingly take the necessary actions like breaking or evading in the traffics.Since the introduction of the object detection by the AI Researchers at Facebook, it has become easier for us to identify the objects in the images.While the object identifiers can use the image identification in the still images but there is a need to identify the text in the images.The techniques can be used for identification of the objects and texts in the real time scenario also.The present work here shows that image identification can work not only for the object identification but also identifies the text in the images as well.A CLAHE algorithm is developed to identify these objects in the images and text and classify these entities into the categories as desired by the programmer.Here in this paper an attempt is made to show the working of an algorithm based on the EAST text detector and PMTD that can perform object as well as text identification in the real time itself.The algorithm achieved success in achieving the identification of the objects in under 5 seconds and better yet identifying text in under 1.5 seconds.The developed algorithm outperforms its earlier precursors.The Recall, Precision and F-measure values all were found better than both the previous algorithms.
Solar Radiation Estimation For Modelling High Performance Photovoltaic System Designs

Estimation of solar radiation levels involves various techniques such as using data obtained from weather stations, commercial softwares, and mathematical models which cover a wide range of forms within. The limited number of weather stations as well as the cost of required equipment result in higher interest in taking advantage of estimation models due to their time and cost efficiency. However, such models heavily depend on the characteristics of the specific region to be analyzed. Geographic and climatic conditions make significant differences in terms of model accuracy. This study involves model selection for two cities in the third climatic region of Turkey and calculating the solar radiation characteristics both on horizontal and inclined surfaces. The obtained results carry the potential of serving as an integral part of constructing country-wide model for solar radiation estimation.
Automated Analysis of Ultrasound Videos for Detection of Breast Lesions

Background: Breast cancer is the second cause of death among women. Ultrasound (US) imaging is the most common technique for diagnosing breast cancer; however, detecting breast lesions in US images is a difficult task, mainly, because it provides low-quality images. Consequently, identifying lesions in US images is still a challenging task and an open problem in US image processing. This study aims to develop an automated system for the identification of lesions in US imagesMethod: We proposed an automatic method to assist radiologists in inspecting and analyzing US images in breast screening and diagnosing breast cancer. In contrast to previous research, this work focuses on fusing information extracted from different frames. The developed method consists of template matching, morphological features extraction, local binary patterns, fuzzy C-means clustering, region growing, and information fusion-based image segmentation technique. The performance of the system was evaluated using a database composed of 22 US videos where 10 breast US films were obtained from patients with breast lesions and 12 videos belonged to normal cases.Results: The sensitivity, specificity, and accuracy of the system in detecting frames with breast lesions were 95.7%, 97.1%, and 97.1%, respectively. The algorithm reduced the vibration of the physician’s hands’ while probing by assessing every 10 frames regardless of the results of the prior frame; hence, lowering the possibility of missing a lesion during an examination.Conclusion: The presented system outperforms several existing methods in correctly detecting breast lesions in a breast cancer screening test. Fusing information that exists in frames of a breast US film can help improve the identification of lesions (suspect regions) in a screening test.
MENINGKATKAN KESAN POSITIF PEMBACA TEKS PAKET PERJALANAN WISATA MELALUI KONJUNGSI

Giving a positive impression in the text made is a basic thing to do in order to make readers feel comfortable reading texts given. However, not all writers can make texts that can express a positive impression. Application of grammatical cohesion, especially conjunction, is one of some ways that can be applied to reduce bounce rate to other websites. The aim of this research is to give a general overview of using conjunction in tour package texts by conveying semantic relation provided by all kinds of conjunctions. The data of this research were 41 tour package texts taken in the form of *.txt from a website named ganggabali.com. The data of this research were analyzed by applying the grammatical cohesion theory proposed by Halliday and Hasan (1976). The result of the analysis was presented by using formal and informal methods. This research shows all kinds of conjunction were applied to convey semantic relations among sentences in tour package texts. The use of the conjunctions, excluding other factors, can give readers a positive impression because by using conjunctions, the website owner can convey the semantic relation based on the kinds of conjunction applied.
Towards a machine learning-based approach to forecasting Dengue virus outbreaks in Colombian cities: a case-study: Medellin, Antioquia

The geographical conditions of Colombia favor the re-emergence and propagation of infectious tropical diseases. Among them, the Dengue virus is highly endemic throughout the country, thereby locating this arbovirus as one of the major pathologies of the public health system. Therefore, there is a global challenge to generate novel strategies to predict and control dengue virus transmission. In particular, during the Colombian 2016 Dengue outbreak, more than 17 thousand Dengue cases were reported by the health authorities of Medellin, Antioquia. In this paper, we present a machine learning approach for the early detection of dengue outbreaks in the city of Medellin. We use an artificial neural network as the core of the machine learning algorithm, with environmental, meteorological and epidemiological data from the National Institute of Health –SIVIGILA– and the Aburra Valley Early Warning System –SIATA–. Our objective is to identify possible Dengue outbreaks, i.e. to create an early warning system, to provide a preventive timeline to the health authorities to design contingency plans and to mitigate the impact of dengue on the population of Medellin. Our results indicate that a artificial neural network forecasting for time series shows a trend for the correct prediction of dengue cases up to the first four weeks with a deterioration in precision as the forecast is pushed for additional ten to twenty weeks.
NOVEL-NOVEL BERLATAR MINANGKABAU SEBAGAI MEDIA PEMBENTUKAN KARAKTER ANAK

This article is a result of a research about Minangkabau societal ideology which is reflected by the novels written by West Sumatran’s author. The Minangkabau societal ideology can be as a tool to form and to educate children. Base on the works analyzed, the ideology message was found and became the foundation to form the children character such as keep strugglins, to have empathy to other people, to have responsibility, creative and innovative, the feeling of togetherness, mutual aid and hard work. Therefore, the benefit cannot be neglected that literary works such as novels can be use as one effective media to form and to lead the character of Indonesian children, especially to establish the uniqueness of Indonesia society in global relation. So that, children have to read literary work as the pillar of character education.Keywords : novel, ideology, character, society, formation
Konseptualisasi Isu Privasi dan Keamanan pada Knowledge Management System (KMS) Perusahaan

This article describes the distinct of privacy and security issues that are simultaneously operant in the KMS practices. It identifies several perceptions of privacy and security issues in the company’s KMS settings. By studying the perspective, authors provide a conceptual directions to the fog of misunderstandings around privacy and security in company’s KMS settings. An exploratory sequential mixed method research design was adopted. A questionnaire survey was administered by authors personally handing to KM staff in three companies, followed by semi-structure interviews with four KM staff. The findings of this study show that the employees were aware of the importance of KMS in the companies, and hence had a high awareness of personal information privacy and security issues. The distinct perspective of privacy issue in companies can be distinguished from organizational layer of KMS through three dimensions; confidentiality, trust, and behavior. While the security aspects in KMS have complied with ICT layer which constructed by legal framework and KMS architecture.
Aplikasi Manajemen Kontrol Dokumen Pada PT. Siantar Top, Tbk Bekasi Menggunakan Metode Waterfall

In the current era of globalization, information technology is advancing rapidly, and computers are equipment to facilitate human work at this time. At PT. Siantar Top, Tbk to get ISO 9001: 2015 certification, one of which is the document control system. But there are still many using archives manually so that it takes a long time in the search and has less effective and inefficient impact. This document is for large organizations / companies that have dozens of departments with constraints in the process which is very inconvenient for the part responsible for control documents. This application is built web-based with PHP as the programming language. The design of the model uses LRS and ERD and uses the waterfall method. So that this application helps in terms of managing and searching document data when needed does not take long. Computerized data storage makes it easier to store data stored neatly in the database and reduces risks associated with data loss and data damage.
Rhetoric and Education: Focused on the Phaedrus

본 연구의 목적은 소크라테스의 ‘참된 수사학’을 교육학적 관점에서 해석하는 것이다. 대화편 「파이드로스」는 소크라테스의 입을 빌어 수사학의 올바른 관심사가 무엇인가를 들려주고 있다. 참된 수사학의 본질은 ‘신적 광기’로서의 ‘에로스’이다. 에로스의 의미는 소크라테스의 연설을 들으며 그에게로 점차 마음이 움직여가는 파이드로스의 태도의 변화과정을 통하여 구체적으로 알려진다. 광기에 사로잡힌 소크라테스는 파이드로스의 마음에 사랑의 열망을 불러일으키며 자신을 기화로 하여 그 열망이 진리를 향하게 한다. 학생의 에로스적 열정을 참된 세계로 나아가도록 하는 교사의 말이 곧 참된 수사학이다. 학생의 에로스적 열정은 진리에 대한 교사의 열정이 학생에게 전달될 때 비로소 발현될 수 있다. 학생에게 진리에 대한 열정을 불러일으키는 교사의 말은 메시지를 전달하는 하나의 수단이 아니다. 그것은 메시지와 분리되지 않는 교사의 존재를 전달한다.The purpose of this study is to interpret the Socrates’ true rhetoric in view of education. According to Plato’s Phaedrus, the essence of true rhetoric is ‘eros’ as a ‘divine madness’. The concept of this eros is shown in the process of the changes in Phaedrus’ attitude while listening to Socrates speech. Socrates divine madness evokes eros in Phaedrus’ mind and guides the eros toward the truth. It is true rhetoric that uplifts a student’s soul to the truth with the passionate help of eros. The student’s eros is realized only when a teacher’s passion for the truth is communicated to the student. The teacher s words that evoke eros in the student are not just a means of conveying a message. True rhetoric communicates the teacher’s existence who is not separated from his message.
IMPLEMENTATION OF INFORMATION SYSTEM IN TRAVELOKA COMPANY

The development of information technology has changed the world to become easier and bring development and progress in all fields. With the support of computer technology it is proven that the mechanism of long and repetitive work becomes effective and efficient. Information systems play an important role in supporting the smooth work activities in an information, how to organize data with a database system that has been supporting the performance of many agencies. Writing Purpose This would like to know how much influence an information system is implemented in a company and what are the strengths and weaknesses arising from the application of an information system in a traveloka company. This writing uses a qualitative method with literauture studies in the field of Scientific Information Systems and Information Technology (IT). Information is obtained from the artiker, module and the internet. Besides that, based on empirical experience and direct observation on the object of research.&#x0D;
WebAssembly as an alternative solution for JavaScript in developing modern web applications

The article describes the impact of using WebAssembly on the performance of web applications. A Blazor framework based on WebAssembly was used. The paper shows that it is possible to create fully functioning Single Page Application using C# programming language. The second application was made using Angular framework. Both applications implement the same functionalities. For prepared applications loading time and size of transferred data was measured. The impact of using browser cache memory and gzip compression was examined. The performance of handling http requests using GET and POST methods were measured. The performance of WebAssembly against JavaScript code in task of sorting a list of N objects was compared. The performance of modifying html DOM was examined. Selected code metrics of written applications were compared. JavaScript presents better performance with tasks related with browser API. WebAssembly was better for computing.
A ferences források magyar nyelvű rövidítési rendszere

The study summarizes the Hungarian abbreviations for Franciscan sources into a standardized system.The practice of abbreviations of Hungarian-language publishing has been scrutinized and a new objective has been set out to create a new abbreviation system which would be logical, consequent but flexible at the same time, making also possible to insert newly discovered or re-translated sources, and which is compatible with academic literature.The creation of a new abbreviation system is justified because the models applied in the publications have not been standardized thus there is no 'adoptable' model when creating the new Hungarian system of abbreviations.The study explains the principles of the abbreviation system which is based on the abbreviating practice used for the past decades in Hungarian publications, as well as on the experiences of international ones.It is also important to keep the oeuvre according to each author and to clearly understand the special abbreviations of frequently used genres and special terms.Along with the principles stated, it becomes possible to compile a logical abbreviation system the works that may be discovered in the future.The paper concludes with a tabular presentation of the established abbreviation system.
INFORMATION SURPLUS AS THE MODERN STAGE IN THE EVOLUTION OF INFORMATION ASYMMETRY

In the networked information conditions triggered the misbalance of the transmission mechanism through which the information space exercises its effect.This has been partly due to the destructive processes in the system of interpersonal relations, and partly due to global transformation processes.Economic relations develop at the backdrop of systemic value disruption caused by the growing amount of information of questionable quality.Subjected to the removal of social filters from the information space, the public will become a perfect container for unlimited volumes of any information with a next to zero value, however the impact of this information will get stronger because of the undefined state of the social space, increasing information asymmetry.Recognizing the informational asymmetry as the basic condition for the emergence of society, the article presents the content of information asymmetry evolution, describes its current stage.Metodology: the combination of the information theory and logical and historical methodology.The study based on classical theoretical approaches to information asymmetry in an economic environment have been developed by