Reviewerly/exHarmony huggingface dataset:
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI USAHA KULINER DI DAERAH BAGAN BATU DENGAN MENGGUNAKAN METODE TOPSIS

This study aims to design a decision support system for choosing a culinary business location typical of the Bagansiapiapi area in the Bagan Batu area. The many variations of the typical culinary of Bagansiapiapi are in great demand by the people in the Bagan Batu area. Therefore, opening a culinary business for regional specialties is one of the businesses that has the potential to advance in Bagan Batu. To help entrepreneurs who want to choose a culinary business location in the Bagan Batu area, a computer-based Decision Support System is designed. The decision support system for selecting the location of this entrepreneur uses the Topsis method. The criteria used in this study consisted of 5 criteria, namely the level of population density, rental fees, access to business locations, convenience of parking lots, cleanliness of business locations. The results of this study are recommendations for business locations in the form of alternative rankings that can be taken into consideration as the chosen location. Of the 5 alternative data processed in this DSS, the best alternative location is location 4 with a weighted value of 0.6566.
RANCANG BANGUN SISTEM INFORMASI PRESENSI PEGAWAI DENGAN MEMANFAATKAN METODE PENGEMBANGAN PROTOTYPE

The diligence of employees is an important factor for agencies and businesses to achieve their goals, it is related to discipline and affects the work performance of each employee. Therefore, it is necessary to collect special data for attendance records so that work activities can be recorded accurately and in real time. There are many ways to implement a good attendance and attendance information system, one of which is using computer technology applied to web-based attendance and attendance applications. As a case study and research site, at CU. The source of love City Balai Berkuak was originally used in the process of presence with the help of fingerprints, because during a pandemic like this it is still not effective, because it is possible to spread the covid19 virus. In addition, the risk of errors and loss of attendance data is quite large. Based on the above issues, an employee attendance information system has been built at UC. The origin of love but the Berkuak room. Research methods used to collect data include: observation, interview and library research methods. Software development using the prototyping method. With the results web-based employee attendance system, it can simplify the attendance process, data search and time summary calculation, as well as minimize loss and error when recording employee data presence of CU. The origin of love but the Berkuak room.
E-BOOKING SALON KECANTIKAN MENGGUNAKAN METODE UCD ( USER CENTERED DESIGN ) PADA MARIA STUDIO BEAUTY

Development business beauty business is currently growing rapidly with following changes technology and method look somebody to style life, good women nor man always want to come on stage interesting as well as perfect for cover the drawbacks with do various method among others do maintenance beauty. Wrong business or form in field beauty which there is that is salon which is form business wich is related with service beauty, which offer various maintenance from hair ends until toe. However in beauty salon Maria Studio Beauty from consumers to owner still not maximal, then from that writer make system E-Booking beauty salon. The method used in this research is (UCD). UCD is technique that places the user at the center of the system design process. The biggest benefit of implementing UCD is that it can provide a more accurate defenition of requirements from system users. This method is used to produce a user interface design that is in accordance with the experience and needs for the user. With this Beauty Salon E-Booking system, it can make it more for consumers to choose to type of service they need and can help Maria Studio Beautu owners in managing salons using the system.
APLIKASI SISTEM PAKAR DALAM MENDETEKSI KERUSAKAN AC RUMAH BERBASIS ANDROID DENGAN MENGIMPLEMENTASIKAN METODE CERTAINTY FACTOR

The current global warming season, Air Conditioning or AC, is a tool that is very useful for the community, because AC can cool a room. With its ability to cool a room, this air conditioner is often used continuously by the public, which makes it quickly damaged. When this AC device is damaged, people are confused and restless in repairing it. Moreover, coupled with the current Covid-19 pandemic, people are increasingly afraid to use the services of an AC technician, for fear of contracting the corona virus. This problem can be overcome by building a system where the system can help the community in diagnosing AC damage. The system is called an expert system to diagnose damage to home air conditioners using the Android-based certainty factor method. The result of this research is that with the application of this expert system, it can help the community in diagnosing AC damage and the level of accuracy in diagnosing AC damage using the certainty factor method is 80%.
A Plug&amp;Play Telecom-Wavelength Single-Photon Source for Quantum Key Distribution

We report on BB84 quantum key distribution tests employing a benchtop plug&amp;play quantum-dot based single-photon source operating at O-band wavelengths. We perform a detailed characterization and exploit optimized temporal filters to maximize the tolerable losses.
A Near-term Strategy for Solving Quantum Linear Systems Problems

We present an efficient solution to a system of linear equations by integrating data preconditioning, low-depth quantum embedding, and a variational method demonstrating a strategy that allow near-term implementations on quantum processors minimizing resource utilization.
Clock synchronization methods with single photon sources

Single photons can serve as both a carrier of information and timing signals. Here we discuss approaches to clock synchronization using pulsed and continuous wave quantum sources and find that pulsed operation enables higher noise resistance and more versatile link scenarios.
USO DEL APRENDIZAJE HÍBRIDO PARA AFRONTAR LA INCERTIDUMBRE ANTE LAS CONDICIONES DE ENSEÑANZA DURANTE LA CRISIS DEL COVID-19. UN CASO DE ESTUDIO

This study was developed in the Graduate Program in Education (PPGE), Advanced Campus CAMEAM of the State University of Rio Grande do Norte, city of Pau de Ferros.The methodology was based on a qualitative analysis
ANALYSIS OF A SYSTEMATIC LITERATURE REVIEW PROTOCOL ON AGILE APPROACHES USED FOR SOFTWARE PROJECT MANAGEMENT

Perform a comparison between the protocol established for this RSL and the protocols used in other similar works.To this end, seven papers were used to compare the points in common and those that differ from the protocol defined for this RSL.Identify in the specialized literature which approaches are being developed and used in the agile context of software development, as well as their main features.Systematic literature review, protocol comparison.Seven works were used to compare the points in common and those that differ from the protocol defined for this RSL.The first contribution of this work is the disclosure of a protocol that can be replicated by other similar works.The second contribution of the work concerns the comparison carried out between the works, as this way other researchers will be able to identify, from this work, which are the most used steps in carrying out an RSL and, thus, they will be able to more easily decide which of
GUIDELINES FOR THE IMPLEMENTATION OF CHAPTER VII OF THE LGPD IN ORGANIZATIONS BASED ON THE PRACTICES OF MOSE COMPETENCE

Provide a set of guidelines for the implementation of Chapter VII of the LGPD from MOSE practices Possibility to offer organizations a set of guidelines that help the organization to implement chapter VII of the LGPD using the MOSE Literature Review, Asset Mapping and Guidelines for LGPD Implementation from the MOSE Model.Guide with guidelines for the implementation of Chapter VII of the LGPD based on the best practices of the MOSE.Reference material for implementing the LGPD in organizations of all sizes and consequently improving the current scenario, making more companies adapt to the LGPD.Avoid fines that may harm the existence of organizations, in addition to keeping the company on an equal footing with the competition that will use adherence to the LGPD as a competitive advantage
ANALYSIS AND EVALUATION OF DIGITAL IMAGE ENHANCEMENT TECHNIQUES APPLIED TO FACIAL RECOGNITION WITH NEURAL NETWORKS.

Machine Learning algorithms are used for automating detection such as Artificial Neural Networks.São utilizados softwares que filtram a imagem usando técnicas de Processamento de Imagem afim de definir padrões e simplificar a busca, agilizando dessa forma, o processamento.Transforming the resulting image into a binary vector.This vector is used as input in a Neural Network to extract face patterns and perform facial detection.The proposal is promising with hits above 80% with the Gaussian filter and reaching 90% with the Histogram Equalization filter that allow the proposed methodology is used regardless of the filter applied to the image.This work proposes methodology for facial recognition.After performing the image treatment and using filters such as Gaussian and Histogram Equalization, algorithms are applied for transforming the resulting image into a binary vector.They are increasingly used in biometric authentication applications where facial image is used to identify people previously registered.In some cases, facial image can also locate suspects in a crowd or can even assist in the search for missing persons.
THE USE OF INFORMATION SYSTEMS DURING THE COVID-19 PANDEMIC: IMPACTS ON EDUCATION

The objective was to understand the use of the means of communication by the subjects to access information, in times of COVID-19, and to build the knowledge necessary to face the health crisis, and specifically the search was to identify the means used to access the information.This article is relevant for both academic and civil society impacted by the pandemic and its originality is present in the analysis of the impact of the pandemic on the lives of Brazilian youth who seek to access information to work and study.For the analysis of the object of this research and consequent measurement of the results, a qualitative methodology of explanatory nature was used, in which studies related to the topic of interest were identified The selection criteria for these studies were national coverage and the source of these studies for The following profile was identified: public high school students and the poor, as the subjects most impacted by the difficulties of accessing information, especially in times of the COVID-19 pandemic.The literature review, carried out in this work, rescues a debate about everyday communication and discursive formation, having the works of Jürgen Habermas and Michel Foucault as the basis for data analysis.The article presents a social picture of increasing inequality, which will require further studies to support the review of public policies for social development, enabling these young students to build their discursive picture.
APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE SUPREME FEDERAL COURT: A STUDY ON THE VICTOR SYSTEM

Technological innovations in recent years, especially in the area of information technology and the digital world, have brought ease and agility in carrying out activities in all sectors.The Judiciary underwent a great transformation with computerization, through the digitization of processes, carrying out judicial acts through the virtual environment and, finally, with the use of artificial intelligence.The Victor System, implemented in the Federal Supreme Court, uses this technology and has emerged as an important ally in improving jurisdictional provision, through the analysis of Extraordinary Appeals with a view to identifying cases of general repercussion.This work will analyze the aforementioned system, its functioning and the results arising from its use, reflected in the number of cases in the court's collection, as well as the prospects for improvement to be used in other activities and in other institution of the Judiciary.The limitations that must be faced will also be studied, aiming to contribute to the formation of a vision of the future about its applicability, extracting the best it can provide for the purpose of speeding up and effectively processing the processes, in order to solve conflicts and achieve social pacification.Therefore, exploratory and descriptive research will be used, using the deductive approach method, and the historical, documentary, bibliographic and structuralist methods, based on the theoretical references indicated and on the analysis of works, scientific articles, legislation and official data.It is intended, therefore, through the methods and procedures mentioned, to start from universal concepts, seeking their particularization.
VIRTUAL REALITY (VR) IS ALREADY A REALITY IN ACCOUNTING INSTRUCTION: AN ACTION RESEARCH APPROACH

The objective was two-fold.First, it intended to describe the usage of a virtual reality (VR) tool called Virbela Frame through action research.And second, to show preliminary findings of the VR use in an accounting graduate course.Supported by Technological Pedagogical Content Knowledge (TPACK), this study describes how VR can be used to provide a different learning experience to accounting students.VR, in conjunction with action research, has the potential to improve teaching and learning.Virbela Frame was utilized in an Analysis of Financial Statements course at the graduate level.In total, 45 students were the participants of this study.At the end of the course, I administered a survey to capture the students' perceptions on the VR tool.The VR usage was a challenging experience since I needed to learn it and there were not many colleagues to talk to about its use in accounting education settings.Regarding student feedback, it was reported that Virbela Frame was interesting, cool, and different from what they are used to.This study contributes to the TPACK and action research literature.TPACK, as the theoretical support of the study, and action research, as the research method, showed to be useful to implement VR in accounting education.The use of VR in accounting instruction contributes to providing a novel experience and complements the conventional teaching methods.Students can virtually interact among themselves in real-time in scenarios specifically designed for them to learn.
INTEGRATION OF KNOWLEDGE MANAGEMENT TO KAIZEN AND CANVAS: SYSTEMATIC LITERATURE REVIEW

The main objective of the RSL was to verify the existence of works that proposed how to carry out the integration of Kaizen or Canvas to GC.To explore the integration between GC and Kaizen or Canvas tools, a systematic literature review (RSL) was carried out.Qualitative and exploratory character through an RSL on GC combined with Kaizen and Canvas.The results allowed us to conclude that there is a lack of publications related to KM with Canvas integration and little research listing continuous improvement with Kaizen integration, which helped to partially answer the research questions.It can be mentioned the integration of KM with Canvas and Kaizen in practical terms, that users using these methodologies will have knowledge to model their behavior, ensuring greater knowledge and generation of results for companies.A study showed that KM should be used to support the development of a Kaizen continuous improvement tool within organizations through the sharing of knowledge between employees and companies.
SPELLING-GRAMMATICAL ESSAY CORRECTION USING ARTIFICIAL INTELLIGENCE

Created in 1998, the ENEM (National High School Examination) is a test carried out to enable access to higher education in public universities in Brazil through the Unified Selection System (SiSU).The test consists of two stages, a questionnaire with 180 questions about the main subjects covered during the three years of high school and the development of an essay, most of the time essayargumentative.Part of the correction process, more specifically the questionnaire, is carried out in an automated way, but the essays are manually corrected by a board of certified teachers for this action.Analyzing the sites that present the numbers of applicants for ENEM, it is possible to notice a sharp growth in the number of subscribers, which implies hiring an increasing number of professors to carry out the correction of these essays.In order to simplify the process of proofreading and evaluating essays, the objective of this work was to implement a tool that uses Artificial Intelligence (AI) to automatically correct essay-argumentative essays using Natural Language Processing concepts to assess the spelling and grammar of these texts.and reduce the manual workload of the review boards.To carry out this work, the methodology of experimental research was used, the main tools used in this process were the Python programming language and the LanguageTool library, an open-source tool that uses the AI paradigm, natural language processing, to correct the grammar and spelling of texts.Some essays were analyzed to assess the machine's ability to correct texts, comparing them with corrections made by professionals.Some essays were very similar in corrections, but when the grades approached the extremes, the machine had difficulty in correctly evaluating the text.
LEGAL DOCUMENT CLUSTERING WITH TF-IDF VECTORS, KOHONEN MAP AND K-MEANS

Addresses the usage of clustering algorithms applied to judicial documents in brazilian Portuguese containing process movements.The paper uses a dataset in brazilian Portuguese.The task is explored using TF-IDF vectors from a database of 30,000 process movements provided by the Tribunal de Justiça do Rio Grande do Norte (TJRN).The proposed model was capable to develop consistent and meaningful clusters, and the new metric was helpful to evaluate and to interpret these clusters.The paper also approaches new Natural Language Processing (NLP) specific measure to evaluate inter-cluster similarity, based on the most important words of each cluster.The number of cases in Brazilian Judiciary System reached the mark of 77 million in 2019, most of these lawsuits are being processed in a digital way These facts create the ideal scenario for the implementation of machine learning models, which can automate various types of activities and increase celerity.
THE ROLE OF THE LIBRARY IN IMPROVING EDUCATION QUALITY IN SMA NEGERI 3 MEDAN

The goal of this research was to determine the role of libraries in improving the quality of education at SMA Negeri 3 Medan as a source of information and learning for students. The research method used in this study is a qualitative research method with a descriptive approach. The study's findings indicate that the library at SMA Negeri 3 Medan serves as a cyber library to support the learning process at SMA Negeri 3 Medan by providing information to improve educational quality.
MENGEMBANGKAN FUNGSI REKREASI SEBAGAI UPAYA MENINGKATKAN PELAYANAN DI PERPUSTAKAAN

As we know, the library is one of the information centers which is definitely very important and useful for the community and from that it is appropriate for the library to provide comfortable places and facilities for users.We already know the function of the library itself.And one of the functions of the library is a recreational function.Maybe one of these functions is still a less popular thing for users to know.However, there are many things that can encourage the progress and existence of a library by developing one of these functions.Can the function of this library be developed in such a way that this recreational function becomes one of the things that can improve service
A Data Hiding Technique for Digital videos using Entropy based Blocks Selection

The technique of hiding knowledge in certain details is steganography. One of the main trends of computer infrastructure and connectivity following the advent of the Internet has been cyber protection and information security. It is required to hide valuable information like passwords, bank details and other personal document. In this perspective a new algorithm is proposed to make message more secure. In which firstly random frames are selected by using key and then random macro blocks are selected. The macro blocks with high entropy have chosen to hide the data in it. In this experiment author explains the effect of noise on Steganography video with the help of PSNR, MSE &#x0026; BER.
Does Bitcoin add Any Value to the Investment Portfolios?

In this study, we investigate how adding cryptocurrencies can influence investment portfolios. For this purpose, we consider a portfolio including Bitcoin and the five major sector indices of the Tehran Stock Exchange. At first, the asset returns are predicted through an estimation model based on higher moments. In the second step, the properties of Bitcoin in the face of other assets in a portfolio were studied by the asymmetric dynamic conditional correlation model (ADCC). Then, the optimal weights in the portfolios were estimated. Accordingly, four different portfolio optimization models, including high moments, the risk from the ADCC model, and maximizing Sharpe and Sortino ratios, were used. The out-of-sample results obtained from estimating the returns based on higher moments show the relative effectiveness in predicting the return on assets. In addition, the results of the ADCC model showed that bitcoin plays a risk hedging role for the Pharmaceutical and banking sectors. The results also show that Bitcoin is a safe-haven asset for the banking, petrochemical, metals, automobile, and pharmaceutical sectors at different confidence levels. The results of portfolio selection also prove the effectiveness of adding bitcoin with a maximum weight of 10% in the portfolio.
Experimentally Realizable Continuous-variable Quantum Neural Networks

We build a continuous variable hybrid quantum-classical neural network using only Gaussian gates. We achieve non-linearity through measurements on ancillary qumodes. Our protocol can be realized experimentally with current photonic technology.