Reviewerly/exHarmony huggingface dataset:
COMPETENCE-BASED APPROACH TO THE TRAINING OF ENGLISH PHILOLOGY BACHELORS IN HIGHER EDUCATION INSTITUTIONS OF UKRAINE

The article examines the preparation of bachelors of English philology in higher education institutions of Ukraine based on the competence approach. A competence approach to the professional training of future specialists deepens the practical orientation of education, emphasizes the role of experience, the ability to practically implement knowledge, establishing the subordination of knowledge to skills and emphasizes the results of education, considering them not as the sum of learned information, but the ability of a person to solve life and professional tasks, to act in various problem situations. It is focused the attention on the content of the Standard of Higher Education of Ukraine in the field of knowledge 03 "Humanities" in the specialty 035 "Philology", analytical competences of future philology bachelors (integral, general, special), which are components of their professional competence. The developed general and professional competences will contribute to the introduction of qualitative changes to the training system of the student philologists. On the example of the educational and professional program of Kyiv National Linguistic University (bachelor's degree in specialty 035 "Philology" field of knowledge 03 "Humanities" with specialization 035.041 – German languages and literature (including translation), the first – English) the content of the competence paradigm of bachelor's training is specified, the terms of training are determined, the competences are clarified according to the specialization, the content of the educational components that allow students to achieve the program results are outlined.&#x0D; A conclusion was made about the importance of preparing a bachelor in English philology in the modern conditions of the globalization and integration character of the development of the educational field, precisely on the basis of the competence approach, which gives the specialists the opportunity to realize themselves in the future professional field not only in Ukraine, but also on the European and world labor markets.
Evaluasi dan Perbaikan Desain Interaksi Edunex dengan Pendekatan User-Centered Design

Edunex is the Learning Management System used in Institut Teknologi Bandung to support online and hybrid learning and teaching activities. However, there are still some improvements that could be implemented in order to further meet the users’ needs. To do so, the user-centered design approach is used. The development prioritizes implementing fixes in Homepage, My Courses, Exams, and Presences because those pages have high values towards users and high feasibility to fix. Besides that, based on the questionnaire that had been shared, there are needs for new features, such as Reminder and Tutorial that need to be implemented. The outcome of this project is a high-fidelity prototype of a website for desktop screens that fulfills usability and user experience goals effective to use, efficient to use, easy to learn, and helpful. The usability and user experience goals were measured using Completion Rate for effective to use, Single Ease Question (SEQ) for easy to learn, System Usability Scale (SUS) for efficient to use, and Intrinsic Motivation Inventory (IMI) with value/usefulness subscale for helpful. After conducting the evaluation by usability testing, Completion Rate value of 100%, SEQ of 6,9 out of 7, SUS value of 90 out of 100, and IMI value/usefulness value of 6,7 per 7 are achieved. Based on those values, it could be concluded that the prototype designed has fulfilled the usability and user experience goals.
Role and Function of Human Resource Management on The Performance of Correctional Officers

Lack of understanding of the function of human resource management that affects correctional officers' performance at the Class IIB Detention Center, Demak. Therefore, research is needed to determine the inhibiting factors and strategies for improving officers' performance. This study uses a qualitative descriptive method with a case study approach. The research was carried out at the Class IIB Detention Center, Demak. Primary data were collected through interviews and observations with the Informants of the Head of Class IIB Detention Center Demak, the Head of the Detention Center Security Unit, the Head of the Detention Service Sub-Section and the Head of the Management Sub-Section. In comparison, secondary data collects the literature on HRM and employee performance. Data analysis uses the Miles and Huberman model, where the data and information obtained will be processed through data reduction, data presentation, and data analysis. The results showed that the factors for the lack of understanding of the HRM function were lack of training and compensation, lack of supporting facilities, increased workload, and decreased motivation and soft skills of correctional officers. Several management process concepts include PDCE (Plan, Do, Check, Evaluate) and PDCA (Plan, Do, Check, Action). However, the POAC concept is more widely used and applied because it is more suitable for each management level. Therefore, to improve the performance of correctional officers, a unique strategy is needed to be called POAC (Planning, Organizing, Actuating, and Controlling).
KLASIFIKASI TINGKAT KEMATANGAN BUAH PEPAYA CALIFORNIA DALAM RUANG WARNA HSV (HUE SATURATION VALUE) DENGAN ALGORITMA K-NEAREST NEIGHBORS

Papaya fruit is in great demand by people at home and abroad, thus proving that this one agricultural product has become a global need that is in great demand and sought after. To determine the papaya harvest based on the color of the fruit skin, the ripeness of the papaya starts from unripe, unripe (half-ripe) and overripe so that the researchers put forward an idea to answer the problem in determining the ripeness of papaya fruit, which is mostly done manually, still has some weaknesses and requires the process is quite long, has low accuracy and is inconsistent. Based on these problems, a system was created to classify the ripeness level of papaya by utilizing the HSV color features using the K-Nearest Neighbor (K-NN) algorithm. This classification uses image processing by utilizing MATLAB software to create a classification system with three classification classes, namely raw, half cooked and cooked. The classification generated using the K-Nearest Neighbor (K-NN) algorithm shows an accuracy of 86.6667%.
Identifikasi Tugas Dan Fungsi Data Stewardship Pada Dinas Komunikasi, Informatika Dan Persandian Aceh

In the field of Information Technology, a person who has obligations regarding data security is known as data stewardship (data custodian). Data is the most important part that must be maintained and ensured its security. Therefore, institutions and organizations make various efforts in order to ensure the process of safeguarding and maintaining data, so that the data is safe and can avoid various errors and acts of misuse. This study aims to identify and document the roles, responsibilities and people involved as stewardship data at Diskominfo and Sandi Aceh. Data stewardship is grouped into 4 levels, namely external staff, internal staff, managers of internal institutions, and professionals who support data management. Where each level has specific responsibilities.
Sistem Informasi Rumah Sakit

The hospital information system has become increasingly important due to the rapid development of technology. An effective information system can help manage patient data, medical records, doctor scheduling, medicine and medical equipment procurement, and facilitate hospital administration processes. This journal discusses the importance of hospital information systems, the benefits that can be gained, and the things that need to be considered in building and implementing an effective information system. Analysis of information system needs, information system development, training and utilization of the system, and information system maintenance are important factors to consider in building an effective system. With an effective and efficient information system, it is hoped that the quality of hospital services can be improved.
Uji Vulnerability Assessment Dalam Mengetahui Tingkat Keamanan Web Aplikasi Sistem Informasi Laporan Diskominfo Dan Sandi Aceh

Along with the increasing need for information systems in the Districts/Cities of Aceh Province in supporting the development process of a region, the penetration test and evaluation of the system has been delayed. This is due to the limited number of experts in the province as well as the level of dependence on human resources in Districts/Cities who have limited capacity in terms of testing information systems. Therefore, with the presence of the latest web application information system at Diskominfo and Sandi Aceh, it requires system testing to determine the feasibility level of publication of the information system. The testing technique in this study used the VAPT Life Cycle method. Where the VAPT Life Cycle will identify, describe, assess vulnerabilities based on the CVSS (Common Vulnerability Scoring System) and provide solutions for handling vulnerabilities. The vulnerability discovery process in this study uses the Nessus Vulnerability Scanning tool. From the findings there are 4 vulnerabilities, 1 in the high category and 3 in the medium category. This vulnerability data can be used as evaluation material to close or fix existing security holes.
ANALISIS CLUSTER CURAH HUJAN TAHUNAN DI INDONESIA

Water is critical for long-term socioeconomic growth. Rainfall is one of the water sources.. Many factors contribute to disparities of rainfall patterns in Indonesia. The study aims to detect and map the implication of clustering annual rainfall patterns in each province in Indonesia using the annual provincial rainfall data 2011 to 2015. K Means Clustering using an unsupervised learning technique was applied for rainfall events by employing rainfall measurement data from one of Indonesia's rain stations in each province. The clustering results indicate that the two provinces in cluster I have very low water availability, cluster II has moderate rainfall with rainy days under 200 days, i.e. wet months of seven months, and cluster III has a very wide variation in maximum and minimal rainfall. The results demonstrate the trend of locations vulnerable to water availability in the provinces of Central and West Sulawesi. Rainfall should be managed as a potential water source in face of the extreme dry season, particularly in three provinces in cluster III: South Sumatra, Papua, and Maluku. Rainfall clustering in Indonesia is expected to be used as a dataframe, as well as a preliminary analysis to reinforce local rainfall, as well as basis for managing and exploiting rainfall, as well as planning mitigation and adaptation to climate change in Indonesia.
Digital library service

Digital libraries have become a significant part of the digital learning age.Their important role is more and more changing the life of the library's half to the revolution and development of society and also the nation at giant.A digital library that deals with information in those areas unit born-digital yet as those who are digitized from their analog type.Digital libraries are a unit boon to any or all tutorial and analysis organizations.With the rising utilization of ICT, web innovation, and distributed computing in the schooling area, the understudies esteem all the more profoundly open and distribute their work on the web and recover information online Digital libraries region unit the preeminent muddled assortment of information frameworks that help advanced record conservation, circulated course, hypertext, sifting, data recovery and specific dispersal of information.This paper means to discuss the administrations and ramifications of computerized libraries in advanced times.Digital libraries are boon to all academic and research organizations.With the increasing use of ICT, web technology, and cloud computing in the education sector, the scholars prefer to access and publish their work online and retrieve information online.Digital libraries are boon to all academic and research organizations.With the increasing use of ICT, web technology, and cloud computing in the education sector, the scholars prefer to access and publish their work online and retrieve information online.Digital libraries are boon to all academic and research organizations.With the increasing use of ICT, web technology, and cloud computing in the education sector, the scholars prefer to access and publish their work online and retrieve information online.Digital libraries are boon to all academic and research organizations.With the increasing use of ICT, web technology, and cloud computing in the education sector, the scholars prefer to access and publish their work online and retrieve information online.
Design and development of a decentralized voting system using blockchain

E-voting reduced the cost of election and provided convenience to some extent as compared to the traditional approach of pen and paper but it was considered to be unreliable as anyone having access to the machine physically can obstruct the machine and alter the votes. Also, in order to control the entire procedure from electronic voting to electoral results and tracking the outcomes, a central system is required. Voters are not completely secure as vote can be targeted easily. It also possesses a great threat to the right to vote and transparency. For long, different e-voting systems have been provided with the goal of increasing security and minimizing cost. With the launch of Ethereum, a decentralized platform which runs decentralized applications on it, a secured voting system now seems possible. Making a project successful requires hard work and study. For study purposes, some previous works have been studied and gathered a lot of information which makes the project possible. The job portal-based application and some other things have been learned from the study. The methodology is a very important process for a project. Without this process, a project can’t build up properly. It is a blueprint of a project. This project has used a static waterfall methodology which has a feedback path from one phase to its existing phase. It will allow accounts connected to the network to vote in the election and all votes come in the real time. Application's logical code will deploy in smart contract to a local Ethereum blockchain. It will have a test-driven development (TDD) part, means tests against the smart contract to ensure that the code is bug free. It will also have a client-side application that will allow users connected to the network to interact with the smart contract and vote in the election. User-Interface will develop using HTML, CSS, Java Script. This paper provides a solution for removing inconveniences from conventional elections using blockchain that has emerged as an exciting technology for various application due to its unique characteristics that outperform other technologies. The goal of this research is to establish a system for e-voting that is decentralized rather than centralized by using blockchain technology that guarantees protection to electorate’s identity, data transfer privacy and variability by an open and transparent voting process.
Posture Guided Human Action Recognition for Fitness Applications

Human action recognition has attracted a lot of attention in the recent past due to newer applications in computer vision such as fitness tracking, augmented reality and virtual reality. Most of the existing deep learning based methods first deploy a deep neural network to estimate the human pose from a sequence of images followed by a second network to classify the human actions using all the estimated human poses. However, the pose estimation used in these methods typically fail to generalize for non-upright actions such as push-ups, plank, etc since the keypoints are closer to each other than observed in upright postures such as jump, dead-lift, etc. Hence, the accuracy of these methods gets impacted for non-upright actions, typically seen in fitness applications. In this paper, we propose a novel multi-stage deep learning based method for action recognition to predict upright as well as non-upright actions with high accuracy. We use a Light Weight Boundary Refinement Module (LWBRM) during pose estimation to distinguish closer keypoints more effectively. Further, we also introduce an intermediate frame-by-frame posture classification stage after pose estimation. We observed that this intermediate stage enables us to improve the human action recognition accuracy by while improving computational efficiency by ∼ 2 × compared to state-of-the-art methods. Our method can process at 104 frames per second on an android smartphone, and hence can readily be deployed for consumer oriented fitness applications.
Sentiment analysis of the NIGERIAN nationwide lockdown due to COVID19 outbreak

Sentiment analysis is a classification technique that specializes in categorizing a body of texts into various emotions. This categorization had proven to be handy in classifying tweets into positive, negative, or neutral emotions. Nigerians had been on a nationwide lockdown due to COVID19 since 30th March 2020. The analysis of the emotions of Nigerians during this period is expedient to understand the effectiveness of exercise and the impact it has on the masses. The focus of this paper is to determine the sentiment analysis of Nigerians within the period of the lockdown exercise. Using a lexicon-based analytic architecture and a streaming API to TwitterNG, we extracted a total of 22, 249 tweets from the timelines of national stakeholders on COVID19 and location-based tweets from the general public. The tweets were extracted and collated using a set of ten hashtags/keywords from 30th March to 11th May 2020. The analysis was done in R Programming Software with the application of the NRC lexicon approach to classifying the emotions of Nigerians within the period. The result showed that Nigerians expressed an overall positive sentiment to the lockdown exercise despite a few negative expressions.
Designing teaching literature in EFL classrooms through stylistic approach

It is generally said that teaching and learning literature is a serious task for not only for the students but also for the teachers.It makes some students bored with learning literature because it is commonly assumed that learning literature is a complicated, time-consuming, as well as idle task.There are many ways to teach literature but for the students, learning literature is a tiring work to comprehend the literary texts which they have to learn.In this paper the researcher has an attempt to design the procedures for effective teaching literature through stylistic approach as a small-scale research.The aim of doing this research is to plan the lessons for the effectiveness of teaching poetry to the students by using stylistic approach.Forty third year English specialization students from Pathein University were chosen as participants.It took a month and two weeks.As the research tools, the pre-test and post-test related to teaching poetry were used.This research was conducted with stylistic approach.Data were collected with qualitative research method.In brief, lesson plans for teaching poetry in this research will be supportive for teaching literature in the EFL lessons effectively.
Protecting cloud based multimedia content using signatures

Web has millions of multimedia contents such as videos and images.It might happen that every single sight and sound substance has copied duplicates.There are loads of system accessible that gives simple approach to altering, distributing or transferring media substance with the goal that it might prompts security issue and furthermore reduplicating the personality of substance proprietor and furthermore loss of income to the substance proprietor.With the goal that this framework can be utilized to secure the illegally redistributed interactive media substance, for example, 3D recordings or pictures.The primary objective of this framework is to give cost proficiency, fast advancement, versatility and flexibility to suit differing remaining burdens and improve the exactness just as computational productivity and furthermore the unwavering quality.This framework can be sent on open cloud.What's more, this System show high exactness for in excess of 11,000 recordings and one million of pictures.
A new framework for security and trust in cloud computing

Cloud computing is a new concept that refers to a pool of virtual computers resources.Dynamic and scalable internet-based development which is often presented as a service has turned it into a very interesting and significant topic.The service can be a physical machine, virtual machine, software and so on.This study has investigated the problem of building up confidence in cloud environments.To this end, it has designed a model which makes it possible for the users, based on their requirements, to compare a variety of cloud server providers and make their own choice of service provider.The proposed framework enjoys the features of continual availability of trust management service, allocating concessions to cloud service providers, of course, depending on the type of service rendered, utilizing filtering to stop improper storage of ideas, having access to continual service for storing service providers' information and of allowing transactions to unfamiliar service providers due to risk assessment, and finally storing users' data in the cloud based on user-defined encoded algorithm.The hopes are that the designed model owing to the above mentioned characteristics can succeed in building trust between users and cloud service providers.
Kernel Extreme Learning Machine based Cluster Sparse Proportionate Affine Projection Algorithm for Echo Cancellation

The performance of kernel extreme learning machine based CSPAPA (KELM-CSPAPA) is proposed and studied. An adaptive density-based clustering algorithm (ADBC) is used to decompose the training dataset into multiple subsets. Furthermore, the improved flower pollination optimization algorithm (IFPA) is used to optimize the parameters of the KELM model. Initially, the performance of the ADBC algorithm is studied to estimate the optimal number of clusters using three different inputs. Then the KELM model is assessed with different machine learning models using various statistical indices. The time consumption of KELM for the colored noise and speech signal inputs are less compared to the white Gaussian noise input. Finally, a performance comparison of KELM-CSPAPA is presented with three benchmark algorithms: PAPA, block sparse PAPA (BS-PAPA), and CS-PAPA. The result shows that the proposed method outperformed existing algorithms. The simulation results demonstrate that KELM-CSPAPA fully exploits the sparsity and handled the clustered-sparse signal.