Reviewerly/exHarmony huggingface dataset:
User Acceptance Test for Kaaba Buku Saku Application

As one of the countries with a big Muslim population in the world, opportunity of growing an Islamic business in Indonesia has swiftly gained. It is proved by the growth of 95% market share in manufacture, service, and technology areas. This will give a chance for entrepreneurs to follow the wave. One of the entrepreneurs that utilized the opportunity is the developer of Kaaba Buku Saku application. They are releasing solutions for Muslims in a form of mobile applications. Since the launching of this application, Kaaba Buku Saku generates only 30% active user from the total downloader. By using Binary Logistic Regression, it is known that Facilitating Conditions was a significant variable that means the customer would prefer to adopt the application when they have a sufficient resources and knowledge to adopt it. From the customer journey map, it is known that the improvements that should be made by the developer are equipped the prayer time feature with automatically locate feature, adjust the highlight content to be more understandable, launch live location feature for Hajj and Umrah users, give a step by step guidance for the first use, give notification to calibrate the phone for Qibla feature, and the last is launch their iOS version application.&#x0D; Keywords: Muslim-based mobile application, Kaaba buku saku, binary logistic regression, customer journey map
ANDROID TAHFIZ MANAGEMENT APPLICATION (ATMA): AN INNOVATION FOR HIGHER EDUCATION LEVEL

Memorizing is the process that used to store knowledge and memorize require a strength of mind. There is no doubt that in this modern era there are many methods used to ensure the reservation of al-Qur’an. Android Tahfiz Management Application is an application that function as a teaching aid for teacher of Faculty of Quranic and Sunnah Studies, Universiti Sains Islam Malaysia. This project mainly are develop for student that has passed the beginner level. For beginner level, this application are not quite suitable because they are still in the process of learning and the concept of talaqqi and musyafahah cannot be left out. There are a few issue that could occur during tasmik session. Some student may not have courage and always tend to nervous in front of teacher. Tasmik session also required a lot of time to finish the curriculum. Sometimes, the classes may postponed and student need to find another time to meet the lecturer. So, this project is create to identify, design and develop mobile application that befitting and function as a teaching aid for lecturers and students of Faculty of Quranic and Sunnah Studies in USIM to use it. Moreover, what differentiate this application from current application in market is that Android Tahfiz Management Application is create for student who already memorize Al-Quran and need an observation from lecturer to maintain their memorization. Thus, this project will function as a teaching aid and encourage students do self-learning with monitoring from teacher while level up their confident level.
A Multi Layer Perceptron Along with Memory Efficient Feature Extraction Approach for Bengali Document Categorization

In terms of the total number of speakers in the world Bengali stands as the seventh language and it has been used by approximately 265 million people worldwide.Day by day more people are expressing their views and opinions in Bengali in digital platforms like blogs and social media on various topics.Despite this, very little work has been done to structure these electronic documents according to their categories.In this paper, a methodology is developed for automatically categorizing Bengali news among twelve predefined categories using a Multi Layer Perceptron (MLP) model.We also explored the optimization opportunities that lie within the feature space and illustrated the difficulties that arise while handling large feature spaces in neural networks.It has been shown in this paper that the feature space can be optimized to achieve better accuracy.Using our modified feature extraction technique, we reduced the feature space and achieved an accuracy of 93.3%.
A Secret Sharing Group Key Management Techniques to Improve Secure Data Sharing of Cloud Storage in Big Data Era

ABSTRACT A cloud-based big data sharing system utilizes a storage facility from a cloud service provider to share data with legitimate users. In contrast to traditional solutions, cloud provider stores the shared data in the large data centers outside the trust domain of the data owner, which may trigger the problem of data confidentiality. This paper proposes a secret sharing group key management protocol (SSGK) to protect the communication process and shared data from unauthorized access. Different from the prior works, a group key is used to encrypt the shared data and a secret sharing scheme is used to distribute the group key in SSGK. The extensive security and performance analyses indicate that our protocol highly minimizes the security and privacy risks of sharing data in cloud storage and saves storage space.
THE BENEFIT OF THE ADMINISTRATION BOOK FOR INDONESIAN TEACHERS IN SMP IN LITERATURE APPRECIATION LEARNING

This study aims to describe the usefulness of enrichment books for Indonesian teachers. This research is a qualitative descriptive study because in its implementation it includes data, analysis and interpretation of the meanings and data obtained by methods as an effort to explore and understand the meaning that comes from social and humanitarian problems. The subjects of this study were seven Indonesian language teachers who taught in junior high school. Data collection techniques used are instruments in the form of open questionnaires. The variables studied were the usefulness of enrichment books for Indonesian language teachers in junior high school in literary appreciation learning with random samples. Qualitative data analysis techniques carried out together with the collection process include three concurrent activities, namely data reduction, data presentation and conclusions (verification). The results of the study found that the usefulness of enrichment books to broaden insights, knowledge, skills and personalities was not yet felt by the teacher because of the lack of availability of enrichment books in schools and the lack of enrichment books in accordance with the material needed in literary appreciation learning. Teachers, researchers, experts, etc. are expected to be able to compile or write enrichment books according to the expected criteria and publish them better so that they are easily accessible to teachers so that the usefulness of enrichment books can be felt by teachers, especially Indonesian language teachers in literary appreciation learning.
Interdisciplinary structury analysis systems in the field of artificial intelligence technologies

The article discusses the methodological strategies of integrated computer logistics in the field of artificial intelligence, focused on the tasks of the cognitive economy. The mechanism of the methodological synthesis of disciplinary structures into the system of cognitive sciences and the advantages research programs arising from this mechanism are shown.
Using Commercial Letters in Handayani Mart Sekaran in the Disruption Era

The purpose of this study is (1) to find out the commercial letters used in Handayani Mart to find out which commercial letters are not used in Handayani Mart. In this study is using descriptive qualitative approach. Commercial letters used by Handayani Mart are sales-purchase agreement letters and employment contract agreement For other types of commercial letters such as letters of request for offers, offers, orders, announcements, and certificates made by digital/electronic means. Suggestion in this study are for managers of Handayani Mart should make a central or centralized letter application so that the letter are same in their management, both letters for internal and external requirements.&#x0D; Keywords: District Era, Commercial Letter, Handayani Mart
WEBINAR LEARNING METHODS IN SERVING STUDENTS OF DISTANCE UNIVERSITY: BRIEFING CASE STUDY ON THE PRACTICE EXPERIENCE LAW COURSE (PPB), FHISIP BACHELOR LAW STUDENT AT UPBJJ-UT SEMARANG

Information about the paper titled "WEBINAR LEARNING METHODS IN SERVING STUDENTS OF DISTANCE UNIVERSITY: BRIEFING CASE STUDY ON THE PRACTICE EXPERIENCE LAW COURSE (PPB), FHISIP BACHELOR LAW STUDENT AT UPBJJ-UT SEMARANG" at IATED Digital Library
User-Scene-Based Recommendation of App Service

Nowadays, people install more and more applications on their mobile phones to facilitate their daily life. This satisfies people’s needs, but it also makes it hard for people to find the applications they want. In order to let users quickly find the application they want and achieve their goals. This paper proposes an APP service recommendation method based on the user’s current scenario. Specifically, we first extract information from the user’s current scenario. Based on this information, we then search the service library for services related to it. Finally, we recommend the selected service to the user.
An extension of linear-size suffix tries for parameterized strings

In this paper, we propose a new indexing structure for parameterized strings which we call PLSTs, by generalizing linear-size suffix tries for ordinary strings. Two parameterized strings are said to match if there is a bijection on the symbol set that makes the two coincide. PLSTs are applicable to the parameterized pattern matching problem, which is to decide whether the input parameterized text has a substring that matches the input parameterized pattern. The size of PLSTs is linear in the text size, with which our algorithm solves the parameterized pattern matching problem in linear time in the pattern size. PLSTs can be seen as a compacted version of parameterized suffix tries and a combination of linear-size suffix tries and parameterized suffix trees. We experimentally show that PLSTs are more space efficient than parameterized suffix trees for highly repetitive strings.
ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts. The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.
Virtual Algorithm Simulation (VAS) Based on Problem: Learning Media in Medical Surgical Nursing

Introduction: Innovative learning media for online simulation-based nursing students is still not optimal. The study aimed to develop online simulation video-based learning media, namely virtual algorithm simulation (VAS) based on problems in medical-surgical nursing (MSN). Methods: A research development or Research and Development (R&amp;D) which consists of two stages. The first phase of the study was conducted focus group discussion (FGD) with eight medical surgical nursing lecturers and expert discussion with 50 students, three of IT experts, and two MSN experts. The second phase of the research was conducted FGD with five participants, and socialization of instructional media to six lecturers and 54 students. The feasibility test instrument uses learning media assessment instruments consisting of subcategories of learning media rules, Computer Assisted Interaction (CAI), management, and the relevance of the material and syllabus. Data were analyzed using descriptive analysis. Results: The assessment of media experts showed the highest mean in the VAS management subcategory of 3.53. Evaluation of nursing experts and students with the highest mean in the subcategory of material relevance and syllabus, namely 3.9 and 3.57. The results of discussions with experts stated that 100% of the learning media Virtual Algorithm Simulation (VAS) is suitable for use as a medium for learning medical surgical nursing. Conclusions: VAS can be used as a learning media for medical surgical nursing. Online simulation-based learning media can facilitate the accessibility of learning material, increase knowledge and skills of nursing students.
Doing some beta testing of the new ...

Doing some beta testing of the new @withknown courseware plug-in @mapkyca is working on, I love teaching with webmentions so much fun #oer20 https://clients.marcus-povey.co.uk/review/course/view/d05f1a608251e3594c8ad8afe3323dcf/
Automatic Clustering and Visualization of Linked Data through Embedding Learning

Linked data becomes an important information with the development of the internet. The appropriate visualization of these kind of data allows user to understanding it. However, the position information of elements in the linked data is often unknown. This makes low-dimensional visualization of the linked data challenging. This paper proposes an embedding-learning approach to automatically learn the high-dimensional vector representation of each element using machine-learning technology. The learned vectors are then reduced to two-dimensional vectors using Stochastic Neighbor Embedding (SNE) algorithm for 2D-visualization. The visualization results on the MovieLens dataset demonstrates that the proposed embedding-learning method can automatically learn the high-dimensional representation and the clustering structure of linked data, making the linked data more understandable.
METHOD OF EXPERIMENTAL ASSESSING OF THE MODEL OF THE SYSTEM OF THE INNOVATIVE CULTURE DEVELOPMENT OF FUTURE MANAGER OF GENERAL SECONDARY EDUCATIONAL INSTITUTION

the article is devoted to the description of individual parts of the experimental work, the general purpose of which was to determine the effectiveness of implementation of the developed structural and functional model of the system of the innovative culture development of the future manager of general secondary educational institution in the master training process. Defining the pedagogical experiment was the task of checking the effectiveness of pedagogical conditions for the implementation of the specified structural and functional model, the ability to ensure the integrity of the process of development of the phenomenon under study.
Automated margin assessment in breast conserving surgery using SFDI with ensembles of self-confident deep convolutional networks

With an adequate tissue dataset, supervised classification of tissue optical properties can be achieved in SFDI images of breast cancer lumpectomies with deep convolutional networks. Nevertheless, the use of a black-box classifier in current ex vivo setups provides output diagnostic images that are inevitably bound to show misclassified areas due to inter- and intra-patient variability that could potentially be misinterpreted in a real clinical setting. This work proposes the use of a novel architecture, the self-introspective classifier, where part of the model is dedicated to estimating its own expected classification error. The model can be used to generate metrics of self-confidence for a given classification problem, which can then be employed to show how much the network is familiar with the new incoming data. A heterogenous ensemble of four deep convolutional models with self-confidence, each sensitive to a different spatial scale of features, is tested on a cohort of 70 specimens, achieving a global leave-one-out cross-validation accuracy of up to 81%, while being able to explain where in the output classification image the system is most confident.
English Language Acquisition As A Foreign Language on Coachman of Cidomo In Gili Trawangan Lombok

This paper discusses the acquisition of English as a Foreign language on coachman of cidomob. In this study the researchers applied a case study. The purpose of this study was to find deeper, how Cidomo coaches acquired English, the obstacles faced in acquiring English, and the strategy of English acquisition used. To get the data in these study researchers conducted observations in three months and in-depth interviews with two informants who had been previously chosen. After obtaining the data the researcher conducted data reduction, data presentation and conclusions by using Mile &amp; Huber man’s data analysis technique. The result it found that both of coachman Cidomo had acquired English as foreigners by listening to the native speakers, known through their native friends, imitating it and afterwards practicing with the tourist and their native friends, while the obstacles faced by them were pronunciation, changing sounds of several phonemes such as phoneme F to P, V to F and B to P and the difficulty in memorizing vocabulary because they have been acquiring that second language since they were forty years old. Further, the strategy of English acquisition they applied respectively started from memorizing utterances such as greetings, asking for permission, saying goodbye, and after that they memorizing vocabularies related to their job ranging from objects to the natural environment around them to complete and improve their second language acquisition.
Desarrollo de aplicación móvil para brindar orientación profesional a los estudiantes universitarios: “Enfócate”

This research project is carried out in order to reduce the university dropout rates that Colombia presents. Statistical studies of the Ministry of Education reveal that in 2016 the university dropout rate was 45.09%. One of the main causes of desertion and the one that is object of study; it is the vocational disorientation that the students present in the first two semesters of their professional career. These do not count on aid to be able to solve their doubts regarding their academic and professional orientation. As a result of the research, the initial version of a mobile platform called Enfocate is developed, which seeks to provide students with tools that help define and maintain an accurate vision of their professional future; taking into account their physical, mental and social skills. The psychological models used as a basis for vocational guidance are: the theory of multiple intelligences, MBTI indicator and Mindfulness. The methodology that is carried out for the development of the project is based on the management methodology and project management PMI (Project Management Institute). This methodology contains phases and components that allow analyzing the impact of different factors in the development of the project; The Design Thinking methodology is also carried out to define in a precise way the functionalities that satisfy the needs of the user. As a result of the execution of the project, a mobile platform is obtained that guides the university student vocationally and effectively. It offers suggestions about the programs that it can choose based on its psychological profile of skills, presents information that helps the user self-knowledge and offers a Mindfulness course to improve performance and lead the user to proactivity.
AI-mediated gaze-based intention recognition for smart eyewear

Commercial smart eyewear products designed for day-today use have drastically improved in recent years. However, the current utility and applications of smart eyewear can be easily substituted with other smart wearables. In this paper, we propose the integration of an artificial agent capable of performing gaze-based intention recognition on smart eyewear to extend the device capabilities. As smart eyewear affords unobtrusive tracking of the user's gaze while the user interacts naturally with the world, it serves as a perfect platform to discreetly identify the user's intentions through gaze, allowing the agent to provide relevant, personalised and proactive assistance. We believe that integration our proposed agent in smart eyewear is an achievable goal in the coming years with the rapid progressions in computer vision, wearable technology and socially interactive artificial agents. This paper, therefore, discusses our proof-of-concept intention-aware agent, followed by its future opportunities and existing challenges for its integration in smart eyewear.
Manual Re-evaluation of Translation Quality of WMT 2018 English-Czech systems

This data set contains four types of manual annotation of translation quality, focusing on the comparison of human and machine translation quality (aka human-parity). The machine translation system used is English-Czech CUNI Transformer (CUBBITT). The annotations distinguish adequacy, fluency and overall quality. One of the types is Translation Turing test - detecting whether the annotators can distinguish human from machine translation.All the sentences are taken from the English-Czech test set newstest2018 (WMT2018 News translation shared task www.statmt.org/wmt18/translation-task.html), but only from the half with originally English sentences translated to Czech by a professional agency.
Media Pembelajaran Anak Usia Dini Dengan Animasi Interaktif Berbasis ActionScript

Abstract – E a r ly childhood education is a level of basic education  which  is  an educational effort aimed at children aged two years to six years, which is carried out through the provision of education to help growth, physical and spiritual development so that children have readiness to enter further education. Education is provided on the track formal, nonformal and informal. T his research will make actionscript based education applications. In making this application, observation or direct observation is needed to find out how far the children receive the material given by the teacher in the classroomand what obstacles affect children's concentration in the problem. So that the application can match what is needed. Adobe Flash player is software that functions to run various kinds of multimedia files created in the Adobe Flash platform. This application was originally available for a variety of computer or mobile operating systems, including Adobe Flash Player for Android. R esults of research produces educational  applications,as  a  means  to support the children's interest in learning outside of  school, at home. So that children do not miss the material given by  the  teacher  in  the  classroom. And material can be quickly accepted by children . Keywords : Learning Media, Letters and Numbers, Actionscrip