Reviewerly/exHarmony huggingface dataset:
ANALISIS SOFTWARE DEVELOPMENT KIT & METODE AUGMENTED REALITY: TINJAUAN SISTEMATIS

Software Development Kit (SDK) pada Augmented Reality (AR) dipakai untuk membuat suatu proses pengembangan perangkat lunak agar lebih tepat guna dan menghemat waktu, tetapi SDK sendiri banyak ragamnya, hal ini membuat pengembang bingung dalam menentukan SDK yang akan digunakan. Sehingga sebagai seorang pengembang di bidang AR untuk menentukan SDK yang digunakan menjadi peran yang sangat berpengaruh terhadap proses menjalankan aplikasi AR. Tujuan: memberi pengetahuan terhadap SDK & metode yang dipakai untuk pengembangan AR sangat beragam. Metode: penulisan literature review ini menggunakan panduan PRISMA. Google Scholar adalah basis data yang dipakai untuk mengumpulkan artikel dengan kata kunci yang telah ditentukan. Diperoleh 127 artikel yang didapat dari Google Scholar, pengecekan relevansi artikel dan evaluasi artikel dengan quality assessment. Hasil: artikel penelitian mengemukakan terdapat SDK yang banyak dipakai & metode yang dipakai untuk pengembangan AR pada rentang waktu yang ditentukan. Kesimpulan: AR SDK Vuforia lebih banyak dipakai. Terdapat SDK lain yang digunakan & terdapat 2 metode untuk pengembangan AR yaitu Marker-Based, & Marker-Less. Penelitian ini diharapkan kedepannya SDK yang tidak banyak dipakai menjadi sering digunakan, mungkin pengembang tidak tahu ada begitu banyak SDK yang dapat dipakai dan metode lainnya dapat digunakan terhadap pengembangan AR.
Protection of EHR using Cryptography and Distributed File System

With the advent of big data, EHR will become more important than ever and could prove to be critical for containing future pandemics. Our project proposes a new technique for storage of EHR using distributed file systems. The protection of EHR allows for complete patient privacy as patients have the authority to allow or deny anyone to have access to their records and the use of distributed file system for storing and sharing makes the data decentralized and immutable. An EHR should only be accessed and shared by authorized health care providers such as doctors, nurses, lab technicians due to its function to record any critical information considering for every patient, hence making cloud storage a less than ideal alternative. This project essentially focuses on creating a new system for protection of EHR.
The Establishment of Kindergarten Environment Based on the Background of Traditional Culture in Shaoguan Area

The traditional culture of Shaoguan has a long history. The customs in Shaoguan area have strong Lingnan characteristics, and the colors of the Han nationality and the culture of the Yao nationality also have their own characteristics. There are rich types of folk culture and art, including tea-picking opera, Cantonese opera, dragon dance, lion dance and other folk songs and dances, as well as wood carving, embroidery and other folk crafts; there are also widely distributed ＂Panwang Festival＂ festivals to enhance national cohesion. Children are the hope of cultural inheritance. All walks of life, especially kindergartens and every family, should give children the influence of traditional culture, so that children can understand the culture and history of their own nation, feel the excellent traditional culture of their own nation, and cultivate a strong sense of national belonging.
THE USE OF VISUAL IMAGERY STRATEGY TO IMPROVE THE STUDENTS’ WRITING SKIL OF RECOUNT TEXT AT THE TENTH GRADE OF SENIOR HIGH SCHOOL

This research aimed to determinet he impac to fusing Visual Imagery strategies in improving the students' writing skils. The subjects of this research were the students of class X MA. Laboratory. UINSU Medan for the 2020/2021 academic year, which consists of 40 students. This research was conducted using a class room action research using two cycles. Each cycle consists of planning, acting,  observing, and reflecting. The data obtained through quantitative and qualitative data. The quantitative data were obtained from tests which included pre-test, post-test I, and post-test I. Meanwhile, the qualitatived at a were obtained from interview sand observation sheets. The results of the data analysis showed that the rewasan  improvement son student writing achievements frome achcycle. This can be seen fromthe mean score of students in the pre-test 50.85 increased to 69.4 in the post-test I an dincreased to 79.3 in the post-test I. In the pre-test, 10% (4 of 40 students) scored >75. In the post-test I the rewere 55% (22 of 44 students) who scored >75. In the second post-test, the rewere 90% (36 of 40 students) whogeta value>75. To test the hypothesis using thet-test formula, the results of thet-test obtainedt  observation (8.60) >t table (1.684). Thus, the alternative hypothesis(Hα) can be accepted. Based on the sefindings, the alternative hypothesis (Hα) states that the use of visual imagery strategies can improve students' ability to writer ecount text. Keywords: Visual Imagery Strategy, Writing, Recount Text, Classroom Action Research
Think tanks and their impact on global political processes

In today’s changing world if states are to thrive, they have to have sufficient amount of knowledge, data and analyzed material not only about themselves or their domestic policy but also about other actors, their behavior and general trends in international system. Therefore, the generality of states have already established a number of think tanks so as to have aforementioned materials. As a result, think tanks now play a key role in global political processes. Also, what is important is that their scope of actions is not limited within one area which makes their role even more essential.
Two-fold complex network approach to discover the impact of word-order in Urdu language

&lt;div&gt;This work examines standard Urdu text to confirm impact of word order in the language structure. The complex network approach is used to obtain universal properties of two different word co-occurrence networks. Macro and micro scale two-fold examinations of networks are performed for structure discovery. While preserving the vocabulary size, two networks are generated from same text with and without standard word order. In addition, text networks are benchmarked with a random network to extract global features. Achieved outcomes indicate certain word order in Urdu structure for most of the sentences. The normal and shuffled text networks demonstrated similar large-scale characteristics. The results show that average path length and network diameter is reduced after shuffling. On the other hand, clustering coefficient is increased in shuffled text as compared to normal text. Our results validated that few short sentences in range of three words are fully free order. The observations revealed that long sentences are ambiguous without standard order. Both networks are topologically similar but shuffling caused massive discrepancy in network composition and sentence structure. Inside graph view, grammatical association-based words connectivity exists in normal text network. With this universal approach, impact of word order in Urdu language is confirmed. Meanwhile, this breakthrough directs to uncover language composition by extracting small sentences as motifs.&lt;/div&gt;
Enabling Data Democracy in Supply Chain Using Blockchain and IoT

Data Analytics in today’s Demand Driven Supply chain Management (SCM) involving trusted as well as untrusted fulfilment partners will see exponential improvements with large volumes of reliable, trusted data generated automatically through IoT and stored in immutable format in the Blockchain. This paper examines the challenges which Supply Chain Partners in a Highly Digitized ecosystem have in getting access to good quality reliable data. It examines Use Cases and benefits of current IoT and Blockchain integrated frameworks for SCM. It also explores limitations of the traditional IoT and Blockchain integration patterns and presents an architectural framework for a permissioned Blockchain that can be used to overcome these limitations.
ADR in the Age of Cybersecurity

Information security is a global challenge, and as even the computer systems of some of our most vital national security agencies and corporations have been hacked, preventing data intrusion must be regarded as a herculean task. Many of us have used such mental tricks as believing that we are too small to be hacked, or that with so many more tempting targets out there our anonymity makes the risk infinitesimal. It goes without saying that hiding behind these self-deceptions falls short of a reasonable effort to maintain cybersecurity. Even the solo and small firm practitioners among us must face the reality that reasonable steps are required of all of us. The time to start is now.
UTILIZATION OF SOCIAL MEDIA ON STUDENTS ACHIEVEMENT STUDY IN PRIVATE GENERAL SECONDARY EDUCATION CRISTAL

The objective of this research is to understand and analyze the significant influence of the use of social media in the provision of student studies in General Secondary Education Private Cristal in the 2020 school year. This research results from a quantitative approach, having the technical researched to analyze the regression of simple airlines with the support of the SPSS program a version of 23.0 for windows for data analysis. Said number is 10 visa applicants, distributed among students of General Secondary School Private Cristal  Year 2020. The survey results point to the growing influence of the Use of Social Media concerning the Provision of Studies in the ESG Private Cristal  Teaching Year 2020. In which the tsura value of 8.171 was greater than the value of 1.6634 values of table and a significant level of 0.05 indicated that they rejected the empty hypothesis and accepted or received an alternative hypothesis. In addition, the simple aerial regression equation value is 9.956 + 0.696 X and the correlation coefficient value is 0.672 strong category heads, with the determining coefficient (R2) between 0.452 and 22.5%, and the remaining 77.5% was influenced by other factors not analyzed in this research. Keyword : social media, study achievement
A New Practical Guide to Using Python for Earth Observation

A new book presents an example-driven collection of basic methods, applications, and visualizations to process satellite data sets for Earth science research.
Towards the Big Data and Digital Evidences Integrity

Data plays an important role in the maintenance of collecting and processing huge amounts of information. The more data is stored, the more suitable and essential it is to ensure its safety. A lack of data security can result in great financial failures and reputational damage for any organization. Big data vulnerability comes when unauthorized person gains access to the data. Big data is a synthetic tools which gives us result. This paper displays various problems which are related to Big data problem and opportunity. Nevertheless this paper suggests a BDS model or Big Data Security diagram to provide the bigdata security. Just as companies start checking out e- Business activities such as sociable media for brand advertising and customer diamond, they have also started turning to data stats as well. Today, it is nearly impossible to find any brand that does not have sociable mass media presence. Looking at the growing of the data means the result of Big data issue will come. However, big data and digital evidences integrity require BDS model to provide the security of data in the organization.
UPAYA MENINGKATKAN KEMAMPUAN SISWA SMP DALAM MEMAHAMI TEKS LISAN DAN TULIS PADA PEMBELAJARAN BAHASA INGGRIS MELALUI MEDIA AUDIO VISUAL

The low ability to understand students' texts, especially in English lessons, has long been a burden on the minds of researchers. Many students are not able to do understanding properly and correctly. In the evaluation, many student scores are below the KKM. Students seem less enthusiastic and not ready to take lessons on conversational material so that the class atmosphere becomes passive and conventional and non-variative learning. This classroom action research aims: To find out the increase in understanding of grade VIII-1 students in the odd semester of SMP Negeri 2 Deli Tua in the application of Audio Visual Strategy. This research was carried out using descriptive qualitative methods and class action research approaches, which were carried out in 2 cycles. Each cycle includes planning, implementation, observation and reflection, while the subjects of this class action research are class VIII students in the odd semester of SMP Negeri 2 Deli Tua. While the object is the Audio Visual Strategy. From the research conducted by examining the initial conditions of students as measured by written tests and the results of classroom action research with 2 cycles, it was seen that there was an increase in the learning outcomes achieved by students in mastering the material. Based on data analysis, it can be concluded that in cycle 1, students' learning completeness in this material average value is only 69.29, while in cycle 2 by applying Audio Visual Strategy, the average value increases in cycle 2 to 87.14..
Application-Driven Privacy-Preserving Data Publishing with Correlated Attributes,

Recent advances in computing have allowed for the possibility to collect large amounts of data on personal activities and private living spaces. To address the privacy concerns of users in this environment, we propose a novel framework called PR-GAN that offers privacy-preserving mechanism using generative adversarial networks. Given a target application, PR-GAN automatically modifies the data to hide sensitive attributes -- which may be hidden and can be inferred by machine learning algorithms -- while preserving the data utility in the target application. Unlike prior works, the public's possible knowledge of the correlation between the target application and sensitive attributes is built into our modeling. We formulate our problem as an optimization problem, show that an optimal solution exists and use generative adversarial networks (GAN) to create perturbations. We further show that our method provides privacy guarantees under the Pufferfish framework, an elegant generalization of the differential privacy that allows for the modeling of prior knowledge on data and correlations. Through experiments, we show that our method outperforms conventional methods in effectively hiding the sensitive attributes while guaranteeing high performance in the target application, for both property inference and training purposes. Finally, we demonstrate through further experiments that once our model learns a privacy-preserving task, such as hiding subjects' identity, on a group of individuals, it can perform the same task on a separate group with minimal performance drops.
Implementasi Digital Signature Pada File Audio Menerapkan Metode SHA-256

In an era of information technology that is growing very rapidly, the use of signatures has been implemented digitally through digital signatures. Digital signatures develop along with the emergence of the need to authenticate data or files that are used digitally. Its use also aims to avoid forgery or interference. Currently, the use of digital signatures has been widely applied to software distribution, financial transactions, and file delivery. The use of digital signatures on audio files can be accomplished by using encryption of messages sent with a key to use a combination of hash functions with public-key cryptography. This method can be used temporarily. The use of a digital signature in the form of an encrypted writing or a hash function will produce a signature document that is clearly visible because it is written in a visible code. This can lead to potential interference by removing the signature so that the document received is deemed not equipped with a digital signature.
University students’ motivation development via digital technologies

In today’s conditions of globalization, social transformations, and digitalisation of modern society the research becomes topical. Any modern social and professional sphere requires fluency in English. Effective oral and written communication requires intensification of university students’ educational activity via internal motivation development. Digital technologies, which are an integral part of modern youth’s life, were chosen as a means of internal motivation formation. The purpose of the study was to determine the role of digital technologies as a means of internal motives formation in training future English language and literature teachers. The data were collected with the help of the following methods: pilot training,, content analysis of digital tools for teaching English, surveys (questionnaires and research interviews) and scientific (pedagogical) observation. The study theoretically substantiates and experimentally confirms the effectiveness of the proposed digital technologies, the use of which promotes the development of internal motives at university students in the process of learning English. Tasks that involved the active use of messengers and selected digital tools were developed. Such messengers as WhatsApp, Viber, Telegram, Facebook and digital tools for learning English as Duolingo, Quizlet, Learnenglish Podcast, Speak – practice your English, Lingualeo were selected. As a result of the research it is proved that the use of digital technologies in both extracurricular and extracurricular work has a positive effect on the formation of university students’ internal motives that helps to improve their academic achievements in learning English at special faculty.
A Novel Method for Multi-Variate Text Summarization

In this modern age, where vast quantities of data are accessible on the Internet, it is crucial to provide a better mechanism for extracting information quickly and efficiently. Manually extracting the description of a huge text document is incredibly hard and time-consuming. On the Internet, there is a wealth of text content. As a result, finding relevant documents among the large set of documents available and extracting necessary details from them is a challenge. Automatic text summarization is critical for solving the two problems listed above. The method of identifying the most important and pertinent material in a document or a group of related documents and compacting it into a condensed version while maintaining its overall significance is known as text summarization. Before precluding text summarization, it’s important to know the actual import of the Summary. A summary is a text that extracts information from one or more texts and conveys it concisely. The aim of Automatic Text summarization is to covert the source material into a semantically shorter adaption. The most relevant benefit of using a summary is that it shrinks the amount of time it takes to comprehend. Extractive and Abstractive are two types of content summarization techniques. An extractive summary technique involves selecting key sentences, pieces, and other elements from the original report and connecting them into a more manageable structure. An abstractive method is an apprehension of the key ideas in a text and then expressions of those ideas in a plain regular language.
Sistem Diagnosa Kekurangan Vitamin Berbasis Kecerdasan Buatan

When the immune system is in prime condition, we will not be susceptible to disease. Without vitamins humans, animals and other living things will not be able to carry out life activities and vitamin deficiency can increase the chance of disease in our bodies. The system development method used in this research is object oriented software engineering (OOSE) which consists of data collection, analysis, design, coding and testing. This forward chaining method was chosen because this method determines what vitamins are very important needed by the body that affect the immune system, then proceed with a process of questions (facts) with symptoms that will select the best solution from a number of solutions, in this case. the solution in question is the vitamins needed by the body based on the determined factors. Types of vitamin deficiencies in this expert system consist of vitamins A, B (B1, B2, B3, B5, B6, B12), C, D, E and vitamin K The problem can be formulated which will match the facts, so that you can design a system using the forward chaining method to determine the expertise of the vitamin deficiency process and how to apply the forward chaining method to assist in taking process expertise in vitamin deficiency in the body. With this website-based artificial intelligence system, it can make it easier for people to get information services for diagnosing vitamin deficiencies in the body for early prevention before people come to a specialist, because consultation using an expert system can be done anytime and anywhere, and is more time efficient.
Development of 2D Home Safety Animation Applications for Primary School Students with Learning Disability ADHD

This article abstract discusses the work of 2-dimensional (2D) animation about how to keep home safe for the children with ADHD. This 2D home safety animation was developed because according to this study, ADHD has difficulty concentrating and this children constantly running, climbing and jumping no matter the time and place. Attention Deficit Hyperactivity Disorder (ADHD) is one of the learning disabilities. The methodology used in the application development is the ADDIE Model which has 5 phases namely analysis phase, design phase, development phase, implementation phase and evaluation phase. The analysis was based on interviews with Special Education teachers at Sri Gading Primary School, Batu Pahat and the developers using the expert check form method as the instrument of this study. The findings from the experts are positive and overall this app is a great medium for learning about home safety so that accidents can be avoided in the future.
Paas EUD Tool for Developing Expert Context-Aware Mobile Applications

Context-awareness enables systems to be tailored to the needs of users and their real circumstances at certain times. A noteworthy trend in software development is that an increasing number of software systems are being developed by individuals with expert knowledge in other sectors. Because most of the current context-aware development toolkits are intended for software developers, these types of systems cannot be easily developed by non-technical consumers. The development of tools for designing context-aware frameworks by consumers who are not programming experts but are specialists in the area of implementation would result in faster adoption of such services by businesses. This paper provides a cloud-based framework for people without programming experience to create context-aware mobile applications. The platform can provide a lightweight distribution of packaged applications that allows experts to send specified information to mobile users based on their context data without overlapping between the rules of the application. An energy-efficient mobile application was developed to acquire contextual information from the user device and to create quality data accordingly. The framework adopts Platform as a Service (PaaS) and containerization to facilitate development of context-aware mobile applications by experts in various domains rather than developing a tool for each domain in isolation, while considering multitenancy.