Reviewerly/exHarmony huggingface dataset:
Sistem Pendukung Keputusan Pemilihan Dosen Berprestasi Dengan Metode Profile Matching di Lingkungan Poltekkes Kemenkes Padang

The Polytechnic of the Ministry of Health of the Republic of Indonesia in Padang always conducts an annual assessment of outstanding lecturers. In terms of assessment, it must be based on the Tri Dharma of Higher Education which includes performance as well as personality and social achievements. The process of selecting outstanding lecturers at the Padang Ministry of Health Poltekkes is still manual, therefore it is necessary to design an application of a decision support system to determine outstanding lecturers using computerization using the profile matching method. The application is expected to help the campus in making decisions regarding the determination of outstanding lecturers with predetermined criteria and values. The results of this study get the final value of 4.84 obtained by the lecturer Dosen 2. Then from this analysis will be able to help the campus in determining the outstanding lecturers.
Audiences

A nutrition educators’ advertisement-free, comprehensive digital resource—the US Department of Agriculture (USDA) Web site in its new format—is reviewed here. Change is hard; the old, dependable Web site was redesigned recently, and accessing the wealth of information and content in a new design and layout will certainly take some time.
A Zero-Proof Knowledge Based on NFC for Data Authentication/Protection using Blockchain for Mobile Edge Computing

Mobile edge computing is a recent trend to complement the Internet of Things (IoT) ecosystem in the computing sector. IoT is the internet connected communications related to physical devices and everyday objects. The emergence of intelligent living spaces has been due to the rapid development of IoT technologies. Blockchain is one such technology that expands the list of information also referred to like records that are saved as blocks in the Blockchain which are connected using cryptographic algorithms. Within a Blockchain IoT environment, when data or device authentication information is stored in a Blockchain, authentication information can be displayed when verifying Block chain’s transactions, which are also referred to as proof of work. A principle of Zero-knowledge proof (ZKF) is implemented in this paper which is a way of proving that knowledge is known without exposing any data to the user. The proposed model uses a Mobile application where users can prove without revealing users' passwords. Blockchain stores client information that can prevent data from being manipulated. The results of applying the ZKF theory for data security are shown through a web application and NFC.
BUILDING A CONTAINER BASED APPLICATION AND SHIPPING IT TO GOOGLE CLOUD PLATFORM.

This article describes the process of building a container based application (concert ticket search service), deploying it into Google Kubernetes Engine, creating Cloud SQL instance and setting up a Virtual PrivateCloud.We will cover in detail the steps how to build a small size docker image and push it to a docker registry.Also, we will compare image sizes with different build approaches on our application.After that we will focus on setting up a Cloud SQL for PostgreSQL and we will not forget to mention some limitations.And finally, we will describe what is VPC, how it can be basically configured and how to work with it.
Integrating VAWE into election observation and violence monitoring

Election observation and violence monitoring programmes hold great potential to provide information on women’s participation in elections, including on VAWE, and can contribute to reducing violence. Election observation missions and monitoring initiatives can adopt a gender dimension in their reporting, and can collect important information to understand overall patterns and, subsequently, build a profile for VAWE.
Tacit knowledge in the software development process: profile of a research case study

This article reports on a case study of knowledge development in the customisation of a cloud-based software product.The aim of the research project was to understand the creation and explicit exchange of tacit knowledge in this environment, focusing on both the individuals and the project team.A phenomenological approach was adopted, based on participant observation, meetings recording and analysis, and grounded theory.Unlike most tacit knowledge research, the goal was to capture the creation of knowledge in its moment rather than by the participants' recall of the phenomena.Results highlighted the significance of five different types of trigger in new knowledge generation, turning tacit knowledge into explicit knowledge.The article concludes that, despite the recent evolution of the software development environment in the digital age, a qualitative, informal, people centric approach to analysing knowledge development and exchange is still an effective means to securing positive outcomes in software development.
UPAYA MENINGKATKAN KETERAMPILAN MENGIDENTIFIKASI UNSUR INTRINSIK TEKS FIKSI MENGGUNAKAN METODE SAVI PADA SISWA SD

AbstractThis research was motivated by students who had the difficulties in identifying intrinsic elements of fictional texts especially character, theme, setting, plot, and moral value. Research problem is how to improve the skill to identify the intrinsic elements of fictional text method using SAVI in SD 04 Sepahat. This research used descriptive method of the qualitative form. The procedures in this research was Classroom Action Research (PTK) and four stages of planning, action, observation, and reflecting. Data source was from students and teachers. The data was obtained from the RPP, the learning process and the test results.The data collection techniques was observation, measurement, and documentary study. The data collection tool used in this research was observation, tests, and documentation. The data analysis technic in this research was descriptive comparative and critical analysis technic. The instruments were the study results and the observation sheet. The results showed the SAVI method can improve the skills of identifying intrinsic elements of fictional text and students’ attitude in learning. The increase can be seen from the result of the action I which was 71.60, the result of the Act II which was 81.60, and result of action III which was 86.80. Keywords: identify, short story, SAVI
L7SP: a layer seven service provider for private blockchain systems

The interest in blockchain technology has grown over the years and its potential was soon perceived for other applications beyond the Bitcoin due to its decentralisation and immutability characteristics. The technology also has some limitations and technical challenges compared to centralised systems, especially in terms of performance and scalability. The current limitations prevent to use blockchain on a large scale for other types of applications, making studies necessary to address these gaps and evolve the technology. Considering this scenario, this paper proposes the L7SP model to work on private blockchain, giving contributions for performance gains, and system management improvement. L7SP provides an intermediate layer of services that allow faster transaction processing and online monitoring. The solution preserves the decentralisation nature of blockchain, so maintaining compatibility with legacy systems. A prototype was implemented to evaluate the model and the results showed performance gains with the L7SP introduction.
An Efficient KP-ABE for Information Centric Networks

With the obvious nature of distributed computing, Smart telephones could store/recuperate particular information from anyplace at any of point. Therefore, those information security issue on adaptable cloud swings out to an opportunity to be continuously totally serious and hinders support the difference in the versant cloud. There need help liberal examinations that bring been provoked enhance those cloud security. Make that concerning delineation it might, those more fantastic and just them are not appropriate for helpful cloud since Mobile telephones simply have bound figuring property Furthermore control. Plans for small complicated above are unbelievable essential to versant cloud arrangements. Here, we suggest a Efficient and secured information centres (ESIC) for versant scattered enlisting. It grasps KPABE, an entryway control progression utilized similarly as just customary cloud situation however variations those assembly about right controller tree to mark it sensible to flexible cloud conditions. ESIC changes a liberal share of complicated raised gets the chance to control the tree change for KP-ABE from mobile phones ought to separate go among waiters. Furthermore, should reducing the client disavowal cost, it familiarizes trademark depiction arenas for completing lethality forswearing, which is a thorny issue done extend constructed KP-ABE structures. The test goes something like the display that ESIC could viably diminish the overhead on the remote side at clients would give lion's share of the information in versant cloud conditions.
The Influence of Interactive Archetypes on Cryptography

Specialists concur that self-sufficient innovation are an intriguing new point with regards to the field of hypothesis, and electrical architects agree. Given the dog lease status of adaptable models, scholars standard ticularly want the refinement of hash tables. We test how Lamport timekeepers can be connected to the comprehension of eradication coding. We with-hold a progressively careful talk because of space limitations.
Analisis sentimen kritik dan saran pelatihan aplikasi teknologi informasi (PATI) menggunakan algoritma support vector machine (SVM)

Public opinion is one of many instrument that can be used to evaluate of an event. This research based on several problems, they are (1) quality improvement are necessary for Pelatihan Aplikasi Teknologi Informasi, (2) too much of data make the participant’s opinion that has been collected has not been maximally utilized. Criticism and suggestions datas are taken from 2016/2017th school year in amount of 1050. Support Vector Machine is used as a method in sentiment analysis. The data training process will produce the best hyperplane used as a reference to determine which sentiment class is much appropriate for a sentence. The test is done by dividing the dataset into the test data as much as 20% and the training data as much as 80% so it can be done the analysis process up to 5 times iteration with different data arrangement. The test results show the calculation of Accuracy, Precision, Recall, and F-Measure generated by system is equal to 82,08%, 83,42%, 81,16%, and 81,82%.
THE EFFECT OF POP UP BOOK LEARNING MEDIA AND CRITICAL THINKING ON RESULTS STUDENTS LEARNING IPS CLASS V ELEMENTARY SCHOOL

The research was aimed are to: (1). Knowing the result social studies of students who were taught using pop up book media were higher than of students who were taught using poster media in class V, (2). Knowing the social studies learning outcomes of students who think critically is higher than the social studies learning outcomes of students who think critically low in class V, (3). Knowing the interaction between the use of pop up book learning media, posters and critical thinking on social studies learning outcomes for class V students. This type of research is a research conducted using a quasi-experimental method. The sample in this study were students of class V. The research design used a 2 x 2 factorial design with data analysis techniques using two-way analysis of variance (ANAVA). The results of this study indicate that: (1). The results of the Anova 2x2 test are known to have a value of F = 41,048 with a price of sig = 0.000, so it can be concluded that the social studies learning outcomes of students taught with pop up book media are higher than those of students who are taught using poster media. (2). The results of the Anova 2x2 test showed that the value of F = 45,250 with a price of sig = 0.000, so it was concluded that the results of the social studies learning who had high critical thinking were higher than the social studies learning outcomes of students who had low critical thinking. (3). The results of the Anova 2x2 interaction between the use of pop up book learning media, posters and critical thinking on students social studies learning outcomes are known that F = 4,586 with a price of sig = 0.038, so it can be concluded that there is an interaction between the use of pop up book, poster and critical thinking learning media on students social studies learning outcomes is proven true.
Identification of Gender based on Blogs using Attention-based Recurrent Neural Network

With the digitization, the importance of content writing is being increased. This is due to the huge improvement in accessibility and the major impact of digital content on human beings. Due to veracity and huge demand for digital content, author profiling becomes a necessity to identify the correct person for particular content writing. This paper works on deep neural network models to identify the gender of author for any particular content. The analysis has been done on the corpus dataset by using artificial neural networks with different number of layers, long short term memory based Recurrent Neural Network (RNN), bidirectional long short term memory based RNN and attention-based RNN models using mean absolute error, root mean square error, accuracy, and loss as analysis parameters. The results of different epochs show the significance of each model.
Financing for Sub-Saharan African sustainable development: from billions to trillions to action

The study examines the various financial opportunities available to drive sustainable development in Sub-Saharan Africa. It investigates the impacts of private, public and multilateral financial opportunities available to drive sustainable development in Sub-Saharan Africa on GDP per capita, life expectancy, human capital development and fertility rate. Using the autoregressive distributed lag (ARDL) model on data from 1971 to 2018, the result reveals the existence of significant impact of financing from private, public and multilateral sector on sustainable development in Sub-Saharan Africa. Also, the study empirically shows that no single source of funding is sufficient to finance sustainable development of SSA nations. The study therefore recommends that government should play an active but non-distortionary role in financial development. Policies should aim at creating a conducive environment for financial sector development by promoting sound and stable macroeconomic policies. Multilateral development banks and bilateral donors should also strengthen access to private sources of finance by promoting improvement in business and investment climate.
Kemampuan Lulusan Sekolah Tinggi Pariwisata Ampta Dalam Menghadapi Persaingan Di Dunia Kerja

The purpose of this research is to know wtether knowledge, skill, responsiveness and communication skill influence in job competition for graduate student from Sekolah Tinggi Pariwisata AMPTA. The population in this study are student pf Sekolah Tinggi Pariwisata SMPTA that graduated in 2013 until 2016, the total population in this studt is 702 and 200 respondents who have worked taken as samples, samples were taken with non probability sampling technique and accidental sampling approach. Sampling approach using regression equations obtained results that through test results F (regression analysis jointly) may note that the value of F = 147.104 count with the significance of 0.000 &lt; 0.05. The test results of the test F reinforced with testing the determination of the coefficient that shows the value of 74.6%) (0.746. From Test t (partially) can result in variable knowledge with a value of t = 3,173 and significance of the value 0002 &lt; 0.05, variable skill with a value of t = 2,949 and value the significance of 0.004 &lt; 0.05, variable attitude with a value of t = 2,688 and value the significance of 0.008 &lt; 0.05, variable communication skill with a value of t = value and significance of 4,497 0000 &lt; 0.05. From the above results can be known that the hypothesis posed was not proven in other words that all of these variables can be said to have a positive and significant effect simultaneously as well as partial toward the ability of STP graduates AMPTA in the face of competition in the world of work
Research on Feature Selection using SVM

A very fast and efficient classification algorithm is imperative to any application. Nowadays all kinds of applications produce a huge volume of data. Handling these 5’V characteristics data is really very crucial. While processing data, data classification simplifies the mission. Though many classification algorithms are available, they are not up to the mark to meet the fast growing challenges of current digital world. To fill this gap, feature selection is integrated with classifiers, as Feature selection has proved its impact on performance of classifiers. SVM is one of the most frequently used classifier. In this paper, different feature selection methods have been analyzed by studying 21 articles. This survey makes public that SVM based feature selection works better and widely used. Also in feature selection, filter method is widely used.
Question selection algorithm for dynamic question requirements in different learning environments from an unstructured repository

In the personalised learning environments like CRETAL, all possible type of learning resources are brought together in a common platform to improve the learning efficiency. In the blended environment where such systems are used along with conventional classroom teaching and learning, a huge amount of the data related to student behaviour and knowledge models is generated. This data can be used to generate the recommendation to learners regarding either next topic to be learned to meet the objectives of the course, repetition of the previous topics or current topic with increased Bloom's taxonomy of educational objective, etc. The most important subsystem in such learning environments is a questioning system which could be used now and then either in freelance mode or in the monitored prescription mode to assess the learning achieved. The questioning system also plays a key role in generating question papers during the conventional examinations in the institutes. In this paper, we discuss the design of questioning systems as a strongly coupled subsystem of CRETAL's personalised learning environments. We also discuss the similarities of the question paper generation problem with bounded knapsack problem (BKP) and an algorithm for selecting questions from the unstructured repository as its solution.
Connecting historical changes for cross-version software defect prediction

In the whole software life cycle, software defects are inevitable and increase the cost of software development and evolution. Cross-Version Software Defect Prediction (CVSDP) aims at learning the defect patterns from the historical data of previous software versions to distinguish buggy software modules from clean ones. In CVSDP, metrics are intrinsic properties associated with the external manifestation of defects. However, traditional software defect measures ignore the sequential information of changes during software evolution process which may play a crucial role in CVSDP. Therefore, researchers tried to connect traditional metrics across versions as a new kind of evolution metrics. This study proposes a new way to connect historical sequence of metrics based on change sequence named HCSM and designs a novel deep learning algorithm GDNN as a classifier to process it. Compared to the traditional metrics approaches and other relevant approaches, the proposed approach fits in projects with stable and orderly defect control trend.
Does Selection of Open Source Cloud Computing Platforms is a Confusing Task?

Over the last few years the majority of small and large companies moving to cloud computing to develop IT solutions for businesses. It is technology which provides distributed and dynamically shared computing resources using certain operating techniques. In the revolution of information technology, cloud computing is becoming a key paradigm. Cloud computing further classified as Public, Private and Hybrid Cloud. It provides three services which are categorized as Infrastructure-as-Service, Platform-as-Service and Software-as-Service. Open source cloud management platforms providing Infrastructure-as-a-service are now commonly used because of the fastest growth of cloud. Many open source softwares are available for deploying public or private cloud. This paper provides a brief review and comparison of five well-known open source cloud software i.e. OpenNebula, Eucalyptus, OpenStack, Nimbus and CloudStack providing IaaS on the basis of their similar features and technology used. After reviewing the importance and features, we have found OpenStack Cloud Platform is more reliable and useful for the enterprises and organization because of its feature and rapid improvements in its features. The distinction in this paper is believed to help people to choose the suitable open source software according to their need.
Violence Against Women in Politics on Twitter : a Micro-analysis

Gendered negativity attacks a person's gender identity to make the victim feel inferior. These attacks reenforcing gender norms and patriarchal ideologies. Women in politics, especially those who hold positions of high visibility, face a significant amount of gendered negativity compared to their male counterparts. Gendered negativity against women in politics can discourage women from pursue public office and other leadership positions.
A Smart Survillience System

The smart surveillance system defines a approach to identify and recognize human faces from the surveillance videos. It is very tedious to find particular person within a video. This system gives a quick and efficient method to find the presence of a person within a surveillance video. The smart surveillance system uses various machine learning algorithms like Face Recognition and Face Detection to achieve the required results. This system can be used in many security systems to check the presence of a person in any video of the particular area.
Implementing a Serial Work in an Electronic Resources Management System

SUMMARY. This session describes one use of the Functional Requirements for Bibliographic Records (FRBR) concept of work for serials in an electronic resource management system, E-Matrix, developed at the North Carolina State University Libraries. Kristin Antelman talked about how the NCSU libraries use the hierarchical concepts of FRBR to create a more user-centered approach for public display of electronic resources as well as improved management tools for staff. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Software Quality Assurance Research: Achievements, Challenges, Dreams

Software engineering comprehends many disciplines dedicated to forestall and remedy malfunctions and to warrant adequate behavior.Testing, the topic of this paper, could be a widespread validation approach in trade, however it's still mostly unexpected, expensive, and erratically effective.Indeed, computer code testing could be a broad term encompassing a variety of activities on the event cycle and on the far side, geared toward completely different goals.Hence, computer code testing analysis faces a set of challenges.The same roadmap of the foremost relevant challenges to be self-addressed is here proposed.In it, the start line is deep-rooted by some important past achievements, whereas the destination consists of 4 known goals to that analysis ultimately tends, however that stay as unapproachable as dreams.The routes from the achievements to the dreams square measure sealed by the outstanding analysis challenges, that square measure mentioned within the paper at the side of attention-grabbing current work.