Reviewerly/exHarmony huggingface dataset:
EFL students’ voices on English national examination in Indonesia

This research examines the students’ voices on national examination of English subject using Computer-Based Test (CBT) in Indonesia. The research design in this study applies qualitative research. The participants of this research consist of seven graduated students from senior high school and they used CBT in their National English examination. The data was obtained through in-depth interview. Therefore, the finding of this research defines that most of the students agree with Computer-Based Test (CBT) as standardized of national examination especially in English subject in Indonesia. CBT has the positive contribution for the students, such as it is easy to access, flexible, simpler and more practical than PBT, and it is not time consuming. Besides, it motivates the students to learn English through technology and helps them answer the questions both in listening and reading sections easily. However, the students encounter some difficulties in CBT dealing with internal and external factors namely student’s anxiety, the background knowledge of the students, and lack of the school facilities, internet connection, and technical problems.
LITERACY ANALYSIS OF TADULAKO UNIVERSITY PGSD STUDENTS

This study aims to determine the literacy ability of students at the Tadulako University Primary School Teacher Education. The sample in this study were class B class 2018 students of Tadulako University Elementary School Teacher Education totaling 40 students, 6 men and 34 women, the data collection techniques used were questionnaires, interviews, and documentation. Furthermore, the collected data is processed and analyzed using qualitative data and quantitative data analysis as a support. Qualitative data is data that is descriptive in nature, information and information in the form of numbers. And quantitative data in the form of numbers in the questionnaire. From the results of this study indicate that of the 40 student respondents that can be seen from the percentage of answers is always at 12%, while 16% answered frequently, 36% answered occasionally, 25% answered rarely, and 11% answered never. So based on these data it can be concluded from several alternative indicators that are available. Students prefer to answer sometimes and at least answer never. This means that the literacy ability of Tadulako University Primary School Teacher Education students is still quite sufficient
'Digital Due Process': A Need for Online Justice

Social media platforms have evolved into the ‘modern public square’ - with all the legal complexities involved. Public discourse, free speech and global online crime prevention are all at present under extreme pressures, due, ironically, to both significant over-blocking and under-blocking by social media platforms. At the one end of the spectrum, user-generated content is far too often subject to robo-takedowns. At the other extreme, clearly criminal activities such as online child sexual abuse runs rampant and is not blocked nearly enough throughout the world. These two extremes are to a great extent caused by an inadequate and unbalanced content moderation and legal architecture developed by the digital gatekeepers. Moreover, the manner in which the Internet’s so-called ‘attention merchants’ and ‘surveillance capitalists’ abuse personal privacy through the data-harvesting and micro-targeting of individuals who gather in the ‘modern public squares’ is of enormous public concern internationally. There is a clear and present need to ensure justice is done within the international digital community as evidenced by the public outcry on these fundamental issues as they play out on the world’s social media platforms. “Digital due process” might form the basis of an online infrastructure to restore fundamental freedoms and support the rule of law in the digital world.
Dropout's Dream Land: Generalization from Learned Simulators to Reality

A World Model is a generative model used to simulate an environment. World Models have proven capable of learning spatial and temporal representations of Reinforcement Learning environments. In some cases, a World Model offers an agent the opportunity to learn entirely inside of its own dream environment. In this work we explore improving the generalization capabilities from dream environments to real environments (Dream2Real). We present a general approach to improve a controller's ability to transfer from a neural network dream environment to reality at little additional cost. These improvements are gained by drawing on inspiration from Domain Randomization, where the basic idea is to randomize as much of a simulator as possible without fundamentally changing the task at hand. Generally, Domain Randomization assumes access to a pre-built simulator with configurable parameters but oftentimes this is not available. By training the World Model using dropout, the dream environment is capable of creating a nearly infinite number of different dream environments. Previous use cases of dropout either do not use dropout at inference time or averages the predictions generated by multiple sampled masks (Monte-Carlo Dropout). Dropout's Dream Land leverages each unique mask to create a diverse set of dream environments. Our experimental results show that Dropout's Dream Land is an effective technique to bridge the reality gap between dream environments and reality. Furthermore, we additionally perform an extensive set of ablation studies.
Salesforce Application Architecture

Let’s dive straight into the design thinking needed to design a Salesforce application.
Analisis Dampak Fisik Tempat Pembuangan Akhir (TPA) Mojorejo Kecamatan Bendosari Kabupaten Sukoharjo Terhadap Masyarakat Di Sekitarnya

The Mojorejo Final Disposal Site (TPA) is a landfill in Sukoharjo Regency. The TPA Mojorejo has not been managed right and properly, thus causing impact to the surrounding society. Based on this matter, this research aims to (1) determine the volume of waste discharge and the distribution of the origin area of waste, and (2) analyze the impact of the landfill existence to the community especially around the landfill Mojorejo. Method of the research is survey by census technique and map analysis. The results showed that the Mojorejo landfill in 2018 had a total of waste discharge of 2,246.ton / year. Sukoharjo Regency has 91 TPS spread across 8 sub-districts. The impact caused by Mojorejo Landfill to the surrounding community are (1) air pollution originating from landfills, (2) noise pollution from operational equipment in the process of landfilling, and (3) roads damaged by garbage trucks that frequently pass the road.
A Two Fold Approach for Object Recognition with Bag of Visual Words using Artificial Neural Network

Advancements in Computer vision techniques have assisted the Artificial intelligence and Autonomous robotics community. Its applications involve driverless cars, Visual Odometry, Object detection and localization and 3D Reconstruction. Object recognition and localization have also been a hot topic for researchers in recent years. Object detection is a very important part in driverless cars too, i.e., it detects objects such as humans and other vehicles. Proposed is a technique to recognize and localize the object in the image effectively. This Proposed technique first reduces the problem from multi-class, multi-label classification to a single label, multi-class problem by only taking a bag of visual word (BoVW) model of a single bounding box at a time. Moreover, this also generates `none' class edge boxes and suppresses these `none' objects based on its BoVW model. PASCAL VOC 2012 and 2007 datasets were used for training and testing purposes. Both qualitative and quantitative analysis was carried out. It is established that the proposed approach gives appreciable results while reducing the complexity of the problem.
실내·공간디자인 관련학과의 교육과정 변화 경향 분석- 학제별 기초, 실무, 디지털 & 융·복합 교과목 비교분석을 중심으로 -

This study was conducted to present the direction of future education through the distribution of curriculum by schoolsystem through the analysis of the curriculum on the recent homepage of the Department of Interior and Space Design. Thesurvey targets are 48 universities including 26 for 2-3 years, 22 for 4 years, and research methods through literature researchon prior research in the last 20 years and content analysis of curriculum subjects uploaded to each university's website. Theresearch results are as follows. First, the curriculum of universities related to interior and space design is divided into basiceducation, practical education aimed at job competency units, and digital & convergence/combination education courses thatreflect digital trends. Second, in the case of a 2- or 3-year colleges, there were many practical subjects, and according to theNCS model, education by vocational competency was conducted. On the other hand, even in the case of the four-year system,practical training in response to industrial change is provided, but project-type training is provided, and education related todigital and convergence in response to the fourth industrial revolution is being reinforced and diversified. Finally, based on theresults of these studies, the curriculum for each school system can be categorized. The two- or three-year colleges arecategorized into basic education general type, design practical application type, and digital design type. The four-year collegecurriculum is basic education specialization and connection type, design practice project type, digital & convergence type. It canbe seen that the curriculums related to interior and space design are differentiated by the school system and the creation ofnew areas required by the future society is in progress. This study suggests the difference and direction of curriculum byschool system as the basic work, and suggests that studies on various educational methods required by the society of societyare also required. Especially in the corona situation, a new era of non-face-to-face education is beginning in face-to-faceeducation. The study on the delivery system of this curriculum is intended to be left as the next research task.
Google Calendar untuk Meningkatkan Pengelolaan Website

implementation electronic calendar on a website, can help in the scheduling process. scheduling manual courses is still not considered effective, with the electronic calendar Google Calendar can help to remind students of the.  implementation Google Calendar on the website uses Google API . Google API will provide an id for those who will access Google Calendar. Google Calendar can connect to websites using Google API. Google API, managed by an admin. The Google API uses the OAuth 2.0 protocol for the process of authorization and authentication, because requests for access from clients are controlled by the resources owner.scheduling to students will be sent in the form of e-mail , on email there is a date that is connected to Google Calendar and becomes a schedule reminder for students.
Demand-Adapted Service Oriented Architecture Using Lego Model

Many developments happened in Service Oriented architecture models but with no details in its technology and requirement. This paper presents a new Service Oriented Architecture (SOA) to all Service Enterprise (SE) according to their demands. Therefore, the goal is to build a new complete architecture model for SOA methodologies according to current technology and business requirements that could be used in a real Enterprise environment. To do this, new types of services and new model called Lego Model are explained in details, and the results of the proposed architecture model in analyzed. Consequently, the complications are reduced to support business domains of enterprise and to start associating SOA methodologies in their corporate software.
SiGoba - Learning Media Based on Android Applications for Introducing Medicine’s Classes and Functions

Abstract In this covid-19 era pandemic, people are required to use computer technology to run the wheel of life, including learning something. Internet users, including smartphone users in Indonesia, are more than half of the population. Meanwhile, the body must be protected so that the body’s immunity is not susceptible to disease. If you are already sick, you must immediately be treated with the right medicine. If the use of drugs is not proper, surely the pain will get worse. But there are still many people who do not understand the class and function of drugs as they should. Therefore, this research develops an android-based application called SiGoba, an information system as a learning medium to recognize the class and function of drugs according to the Indonesian Drug Specialist Information (ISO). Drug data used are drugs commonly consumed by Indonesian people to treat minor ailments. This system was built using the waterfall model, with black-box testing. The system test results show that SiGoba has a function as a learning medium for recognizing drug classes and functions. We hope that SiGoba can be a learning media for the community so they can learn about how to use drugs according to their groups and functions, so it does not cause medication wrong. If this happens, it will have an impact on the recovery of the illness.
Initialization and the Main Pattern

When your application runs, the initialization phase may be simple or very complex. Simple is where all of your code can start at any time regardless of what else may or may not have started. Complex is where the initialization of a module may depend on another module already being started.
Robotics and artificial intelligence (R&Ai) perceptions of consumers and producers: An international comparison among Portugal and Spain

In this paper we study the perceptions of producers and consumers regarding Artificial Intelligence (IA) and robots and perform an empirical study to Portugal and Spain We base ourselves in current theory about the phenomena and construct to questionnaires, one for each side of the market;we apply the two questionnaires in Portugal and in Spain We use factor analysis and clusters analysis to obtain our results We conclude that the consumers have a positive perception about the use of IAs, with an interesting limitation – people, in Portugal and in Spain do not believe robots will ever have emotions We also conclude that the producers have a rather optimistic view about the use of robots, namely they believe AI and robots will simplify the hard tasks and create more spice for real creative actions by the workers Put together, these results show that in Iberia the basic forces on the AI market have an optimistic view about the phenomena This idea, which is a bit at odds with some discourse served by the media, which may be therefore as alarmist, is a sign of hope and should be taken into account by the public powers, particularly in these Covid-19 times This study is small in size and should be repeated in a larger scale soon, preferably in 2021 © ECIAIR 2020 All right reserved
Age And Gender Features Of Motivational Readiness Of Children For School Education

The article analyzes the concept of motivational readiness for schooling, reveals the structure of motivational readiness and the student’s internal position as one of the most important neoplasms of the motivational sphere in preschool age, presents the results of an empirical study of age and gender characteristics of motivational readiness of children for schooling.
Pengaruh Model Pembelajaran Kooperatif Tipe TPS dalam Meningkatkan Hasil Belajar PPkn Siswa SD

The purpose of this study was to determine whether the use of the think-pair-share (TPS) learning model can increase the activities and learning outcomes of elementary school students' PPKN. This was done because before using the think-pair-share (TPS) learning model there was a score gap between students who received high scores and students who scored below the KKM, namely 70. This type of research was a quasi-experimental study, totaling 24 students. The instrument for collecting data on learning outcomes of PPKn using learning outcomes tests and the instrument for collecting data on learning activities is observation sheets. The results showed that the class average initial ability test score was only 57.5 with class completeness of 20.83% and students who scored ≥ 70 were 5 students. In the implementation of the pretest, the class average score was 67.91 and grade completeness 45.83% and students who obtained a value> 70 were 11 students. Furthermore, in the posttest there was an increase in the class average to 75.20 and class completeness to 83.33% (an increase of 37.5%) and students who obtained a grade of> 70 were 20 students. Based on these results, it can be concluded that the TPS learning model can improve the activities and learning outcomes of PPKn class V SD Negeri 105269 Sei Beras Sekata
ABLTagger (PoS) - 2.0.0

A Part-of-Speech (PoS) tagger for Icelandic.In this submission, you will find ABLTagger v2.0.0. This is a PoS tagger that works with the revised tagset and achieves an accuracy of 96.95% on MIM-Gold (cross-validation). For additional details, error analysis and categorization of this tagger and other taggers (including a previous version of ABLTagger), see I4 report for M4 (2021) in Language Technology Programme for Icelandic 2019-2023.For installation, usage, and other instructions see https://github.com/cadia-lvl/POS/releases/tag/m4You should also check if a newer version is out (see README.md - versions)on CLARIN:- Model files- Docker image, version 2.0.0-------------------------------------------------------------------------------------------Markari fyrir islensku.I þessum pakka er ABLTagger v2.0.0. Þetta er markari sem virkar fyrir nýja markamengið og naer 96,95% nakvaemni a MIM-Gull (krossprofanir). Fyrir nanari upplýsingar, villugreiningu og villuflokkun fyrir þennan markara og aðra (asamt fyrri utgafu af þessum markara), sja I4 skýrslu fyrir vorðu 4 (2021) i Maltaekniaaetlun fyrir islensku 2019-2023.Fyrir uppsetningar-, notenda- og aðrar leiðbeiningar sja https://github.com/cadia-lvl/POS/releases/tag/m4Einnig er gott að athuga þar hvort ný utgafa se komin ut (sja README.md - versions)A CLARIN:- Likan- Docker mynd, utgafa 2.0.0
4차 산업의 RPA와 AI 연계

Purpose: In this study, we examine the application cases of RPA(Robotic Process Automation) and its technology and examine its effects. When a company wants to introduce RPA, it aims to present a plan that can be introduced to meet the purpose of RPA introduction and needs.Methods: We explored RPA and AI(Artificial Intelligence) technologies, which were the background of the research, and derived cases related to RPA through review of research literature and related data of UiPath.Results: RPA is applied mainly for simple repetitive rule-based tasks, but as AI technology evolves, tasks for applying RPA are expanding. Increasingly, companies are applying RPA in conjunction with OCR and chatbots, and some solutions are attempting breakthrough methods to connect AI technologies applied to customers (AI Fabric, UiPath).Conclusion: Enterprise RPA adopters need to be fully prepared for office automation in conjunction with AI. Please contact me for further information and help. I hope my paper will be helpful to corporate managers considering RPA adoption.
Effect of Additives to Premium on Fuel Consumption

The use of internal combustion motors has various positive and negative impacts. A large number of motorized vehicles affect the high demand for fuel. Fuel oil is a vital economic object because it dramatically influences the financial entity, namely the increase in goods and services. What can do several things to reduce the high demand for this fuel, namely by looking for alternative fuels or finding fuel economy. The purpose of this study was to determine the impact of adding additives to fuel on fuel consumption. The research method applies an experimental procedure in which the percentage of mixing premium fuel with additives between camphor and eco racing with a content of 1 - 4 grams of additive for each sample tested on a vehicle. The results obtained are adding additives the properties of premium fuels change in terms of fuel consumption where the addition of several types of additives can reduce the rate of fuel consumption. The results obtained are that with the addition of these additives, the fuel consumption becomes more efficient by a difference of approximately 6 ml/minute.
A Novel Hybrid Image Hiding Technique using Elliptic Curve Cryptography and DNA Computing Technique

The proposed novel hybrid image hiding techniques uses the security features of ECC for encrypting the secret image before embedding with cover image and also map the secret image with DNA nucleotide to improve the level of security with high embedding capacity. In the proposed image steganography, the secret image is fed as input to the ECC encryption algorithm and the resultant ciphertext point is mapped with DNA nucleotide, and then converts it into binary digits. Second, the cover image is compressed by using DWT compression techniques. The compressed image is used as a cover image to embed the secret image by using a singular value decomposition algorithm. The resultant stego image will have high PSNR and less MSE. Results show that 36.23% decreased value of MSE value and 5.6% increased value of PSNR for 512 × 512 image size.
Invisible Threats: Online Hate Speech Against Human Rights Defenders in Guatemala

Invisible Threats documents a coordinated campaign on social media to defame, harass, intimidate, and incite violence against human rights defenders in Guatemala. Social media users with formal and informal connections to the government, military and the business community, routinely characterize human rights defenders as criminals, terrorists, and communists. Using rhetoric from the thirty-six-year Guatemalan civil war and genocide, the coded speech of state-aligned actors often evades scrutiny under the content moderation policies of social media companies (SMCs). These campaigns create the conditions in which physical attacks on defenders are not prevented, investigated, or punished by the state. The report makes two primary recommendations. First, SMCs must take measures to prevent their platforms from being used to target, harass, and intimidate human rights defenders, or they risk being complicit in any resulting harms and injuries. Drawing on international law that prohibits states from targeting individuals for serious harm based on their political opinion, the report recommends that SMCs designate defenders as temporarily protected groups in contexts like Guatemala characterized by coordinated state persecution. Second, we recommend that social media platforms engage in context-specific content moderation, which implies dedicating more resources to distinguishing the coded meaning of speech and understanding the differential impact of the same words in distinct political settings. Companies might create interdisciplinary teams that draw upon the expertise of academics, linguists, and lawyers. Such efforts should focus first on hate speech in countries with weak rule of law and a history of violent aggression against protected groups. SMCs should provide heightened scrutiny of content in “critical countries,” engage localized personnel and guidance, and consider the greater impact of the speaker in monitoring and possibly de-platforming high profile accounts. SMCs can also improve flagging processes to facilitate the gathering of context-specific information by utilizing verified users as endorsed content moderators, creating and implementing online and social media literacy training programs, and creating appeals processes. These recommendations, when taken together, will increase protection for human rights defenders on the platform — both online and offline.