Reviewerly/exHarmony huggingface dataset:
FARUL3S: a New Framework for Agile Regulated Ultra-Large-Scale Software Systems

&lt;div&gt;The Ultra-Large-Scale Software (ULSS) systems development challenges today’s software management and development approaches. Northrop et al. (2006) revealed three broad areas of challenges [1]. To deal with those challenges, they propose an interdisciplinary portfolio of research. In particular, we address the design and evolution challenge by focusing on the design area of research. In order to regulate the ULSS systems, the traditional software engineering tools face challenges as they are top-down so they deal with each domain model separately. To address the domain diversity like in the smart city systems, we propose the Framework for Agile Regulated Ultra Large Scale Software System (FARUL3S) to look at the ULSS system from bottom-up. The FARUL3S is a user-centered solution that aims at combining the complex adaptive system, the financial economics as well as the engineering systems design. Our contribution aims to regulate and constrain the ULSS systems by using architectural agreements and other rules. In this paper, we provide a detailed description of the FARUL3S steps. Our Framework generates a system Design Rule Hierarchy (DRH) so it can be used to constrain the entire system design. In the future, we will provide an illustration of the FARUL3S adoption on the management and design of different smart city services to ensure the efficiency of our solution.&lt;/div&gt;
Re-examining the Impact of Financial Development on the Economic Growth of North Cyprus Through the Moderating Role of the Education Sector

Abstract This study examines the impact of financial development on economic growth with the multiplier effect of the higher education by employing yearly data covering the years between 1990 and 2018 measured in TL. The results reached could shape the policies in achieving sustainable economic growth. Co-integration between the series are tested with ARDL based bounds test; since Zivot-Andrews structural unit root test results showed that variables are integrated at different orders. Furthermore, FMOLS and DOLS are applied to check for robustness. Moreover, Toda-Yamamoto Causality test is employed to test for the causal relationship between the series. Results show that there is a bidirectional causal relationship between financial depth and economic growth; and unidirectional causal relationships from money supply to financial depth, from economic growth and financial depth to education sector. Diagnostic and stability tests results confirm the reliability and stability of the parameters of the model employed.
Secure Data Sharing Of Sensitive Medical Record (Phr) In the Cloud

Present day human services areas need to make a domain which lessens tedious endeavors and other expensive tasks to acquire a Patient complete medicinal transcription and consistently incorporates this multifariousness accumulation of therapeutic information to convey it to the social insurance specialists. Sensitive medical record (PHRs) came to be generally embraced to empower social insurance suppliers and patients to make, oversee and get to human services data from wherever, and whenever. Cloud administrations give the essential foundation at lower cost and better quality. Distributed computing when utilized in Healthcare segment diminishes the expense of putting away, handling and refreshing with improved proficiency and quality. In any case, the security of information in the cloud isn't acceptable today. The electronic wellbeing record comprises of pictures of the patient's record which is exceptionally private. Human services information has stringent security prerequisites for secrecy, accessibility to approved clients, and detect ability of connection. The focal point of the present examination is explore on the above mentioned problem necessities and suggest an answer for human services cloud suppliers this study will assist in ensuring persistent' information they have and of those mentioned high significance. The attention will be on explicit distributed computing medicinal services confidential matter and how cloud homomorphic encryption with part key and key designation can help in gathering social insurance administrative necessities. The recommended system depends on proposed calculation, RSA calculation, and Secret sharing calculation, Data imparting calculation to key assignment to guarantee information privacy, validation, respectability, and accessibility in a staggered progressive request. This will empower the social insurance supplier to accept/discard several entrance conditions in several requests, particularly in therapeutic investigation condition.
Dictionary-Based Classification of Tweets About Environment

Abstract In the era of social media, the huge availability of digital data (e.g. posts sent through social networks or unstructured data scraped from websites) allows to develop new types of research in a wide range of fields. These types of data are characterized by some advantages such as reduced collection costs, short retrieval times and production of almost real-time outputs. Nevertheless, their collection and analysis can be challenging. For example, particular approaches are required for the selection of posts related to specific topics; moreover, retrieving the information we are interested in inside Twitter posts can be a difficult task.The main aim of this paper is to propose an unsupervised dictionary-based method to filter tweets related to a specific topic, i.e. environment. We start from the tweets sent by a selection of Official Social Accounts clearly linked with the subject of interest. Then, a list of keywords is identified in order to set a topic-oriented dictionary. We test the performance of our method by applying the dictionary to more than 54 million geolocated tweets posted in Great Britain between January and May 2019.
Correction

This article refers to:The evolutionary characteristics of higher education studies worldwide: central themes and regions
The Synthesis of Decoupling Courseware from Object-Oriented Anguages in Byzantine Fault Tolerance

The ramifications of trainable epistemologies have been expansive and unavoidable. Given the present status of independent symmetries, physicists shockingly want the investigation of model checking, which encapsulates the broad standards of shared systems administration. Here, we utilize ambimorphic epistemologies to affirm that the World Wide Web and clog control are for the most part contrary.The Surrender customers agree that classical construct are associate degree exciting new hassle swear inner the problem of e-voting era, and cyberneticists concur. during this paintings, we tend to show the exploration of voice-over-IP, that embodies the necessary wants of construct. MuticAllyl, our new framework for lambda calculus, is that the resolution to any or all of those issues.
A Design Space for Visualization Onboarding in Data-Driven Stories

Data-Driven Stories (DDS) are stories that combine text and data portrayed as visualization in a narrative format. They are among the popular ways of communicating information by online medias nowadays. For DDS authors and designers, it's important to minimize the risk of misinterpreting visualizations by their readers. Visualization onboarding, embedding knowledge and guidance have been meant to provide adequate support for readers to understand visualizations as they progress through DDS. Onboarding is a continuous mechanism which involves various DDS elements and interactions on each step. Several previous studies attempted to identify and classify storytelling techniques in DDS. While these techniques prospect a satisfactory communication, it's not clear how they can be applied to facilitate the visualization understanding throughout the story. They rather conceptualized different aspects of storytelling individually, and as such, the chronology of onboarding steps has been missed. Although their techniques and design spaces represent a tangible level of abstraction, they will not benefit authors in the story design process. Authors either rely on their guess work or mimic previous DDS to accommodate support in their DDS scenarios. In this project, our overall goal is to propose a multidimensional design space for onboarding techniques in DDS that can benefit to authors during their design process.
Correction: Analyzing and learning the language for different types of harassment

[This corrects the article DOI: 10.1371/journal.pone.0227330.].
PENGEMBANGAN MEDIA PEMBELAJARAN 16 TENSES BAHASA INGGRIS BERBASIS ANDROID

Indonesia is ranked 74 out of 100 countries and is in the low category in the EF EPI 2020 (Education First English Proficiency Index). Grammar and tenses are the basic components in English. This study aims to design, create, and implement learning 16 English tenses for college students. The learning media will provide tables and explanations of 16 tenses in English, sentence examples and exercises in the form of quizzes equipped with pronunciation sentences to practice listening skills. The data collection methods used were interviews, questionnaires, documentation and literature. The application is made based on Android that can be downloaded on Google Play. Based on the results of 50 college students’ evaluation, it stated that in terms of material, 91,9% was easy to understand, while in terms of UI, 97.6% was interesting to use, and in terms of UX, 90,8% was easy to use. Based on the interview results of 3 English lecturers in this study, it can be concluded that 83,7% of the material is suitable for the college student level, while in terms of UI, 86.7% is Demandia, Vol. 06 No. 02 (September 2021) 278 interesting to use, and in terms of UX. 91.7% is easy and recommended to be used as a supporting media for learning English at STMIK STIKOM Indonesia.&#x0D; Keywords: Learning media, English Tenses, Android application
HHARNet: Taking inspiration from Inception and Dense Networks for Human Activity Recognition using Inertial Sensors

Human Activity Recognition (HAR) an important area of research in the light of enormous applications that it provides, such as health monitoring, sports, entertainment, efficient human computer interface, child care, education and many more. Use of Computer Vision for Human Activity Recognition has many limitations. The use of inertial sensors which include accelerometer and gyroscopic sensors for HAR is becoming the norm these days considering their benefits over traditional Computer Vision techniques. In this paper we have proposed a 1-dimensional Convolutions Neural Network which is inspired by two state-of-the art architectures proposed for image classifications; namely Inception Net and Dense Net. We have evaluated its performance on two different publicly available datasets for HAR. Precision, Recall, F1-measure and accuracies are reported.&lt;br&gt;
Talking Fingers - Sign Language Translator

Sign languages are visual languages that use hand, facial and body movements as a means of communication. There are over 135 different sign languages all around the world including American Sign Language (ASL), Indian Sign Language (ISL) and British Sign Language (BSL). Sign language is commonly used as the main form of communication for people who are Deaf or hard of hearing, but sign languages also have a lot to offer for everyone. In our proposed system, we are creating a Web Application which contains two modules: The first module will accept the Information in Natural Language (Input Text) and it will show the corresponding Information in Sign Language Images (GIF Format). The second module will accept the Information in Sign Language (Input Hand Gesture of any ASL Letter) and it will detect the Letter and display it as the Output (Text). The system is built to bridge the communication gap between deaf-mute people and regular people as those who don’t know the American Sign Language can either use it to learn the Sign Language or to communicate with someone who knows the Sign Language. This approach will help users in quick communication without having to wait for any human interpreter to translate the Sign Language. The application is developed using Django and Flask frameworks and it includes NLP and Neural Network. We are focusing on improving the Living standards of the hearing impaired people as it can be very difficult to perform everyday tasks especially when people around them don’t know Sign Language. This application can also be used as a teaching tool for relatives and friends of deaf people as well as people interested in learning the sign language.
Exploring the affiliation between teachers’ professional development and students’ academic performance in higher education in China

This research explored the factors that underlie Teachers? Professional Develop?ment in China?s Higher Education and their ramification on Students? achievement. The study was carried out in the Jiangsu Province of China where arguably there exist some of the topmost universities in China. Survey questionnaires were used to solicit views from 288 university teachers from (Jiangsu University, Jiangsu University of Science and Technology, Nanjing University and Nanjing Normal University) who participated in the study. Confirmatory factor analysis and structural equation model were used to analyze the data. It was found out that these teachers were familiar and interested in some specific professional development programs namely: Courses and Workshops, Reading of Professional Literature, Education Conferences and Seminars, Individual and Collaborative research, Observation visits to other Universities, Conflict Management, Classroom Management, and Building Students? Engagement and these positively influenced students? perfor?mance. It was revealed that what motivated these teachers to embark on these pro?fessional programs include: need to improve the instructional method, managerial skills, research abilities, and the interest for personal development. However, it was found out that some factors militate against teachers from participating in the professional development programs.
Acknowledgement to Reviewers of Magnetochemistry in 2019

Rigorous peer-review is the corner-stone of high-quality academic publishing [...]
Effective Visual Big Data Processing with Machine Learning Methodologies

Development of high web utilization made business procedures in a difficult manner. In request to dissect the online business un-organized and gigantic measure of information is unimaginable with the Traditional frameworks. Recent innovations propel the strategies for examination are made to break down a lot of the information utilizing the Big Data Techniques, and to improve the adaptability and the precision of investigating the business methodologies, it has actualized on Hadoop with parallel preparing. This paper presents the experimental study on IBM real time data of one lakh records for demonstrating the efficiency of proposed Hadoop based distributed query processing technique.
Metode Mnemonic dalam Pembelajaran Menulis Aksara Jawa

Learning local languages (Java) for SMP student is not always a filed of study that is easily accepted and inderstood. Java language study material that is difficult for students to master one is writing with Java script. The things that make student difficult writing Java script is a form letter, distinguishing letters, and put the letter. Therefore, measures to overcome the difficulties of the student is to find a method of learning to write Java script quickly and easily. Mnemonic method is a strategy or techniques that are studied to help the performance of memory. Mnemonic methods has a wide variety of techniques. In the learning to write Java script, techniques that can be used is the technique of imajery visual and technical categories. The technique is a techniques based on the grouping of categories, where as the technique is of imajery visual is a technique to imagine other objects.
National Robotics Initiative 3.0: Innovations in Integration of Robotics (NSF)

Federal Grants & ContractsVolume 45, Issue 7 p. 2-3 Grants alerts National Robotics Initiative 3.0: Innovations in Integration of Robotics (NSF) First published: 03 March 2021 https://doi.org/10.1002/fgc.31588Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue74 March 2021Pages 2-3 RelatedInformation
TERNARY LOGIC CIRCUITS USING CNTFET: A BRIEF REVIEW

A brief review about carbon nanotube is presented at first, followed by nnnnnna brief review of ternary logic and then finally some of the ternary logic circuit built with carbon nanotube field effect transistor (CNTFET) are discussed.Recent progress in ternary logic circuit proposed by using CNTFET as basic building block is discussed in this paper.Complementary CNTFET designs are used to build ternary logic circuits just like Complementary CMOS designs.MVL has gained its popularity as binary logic circuits are reaching its limitations.Different CNTFET Ternary logic circuits like half adder (HA), full adder (FA) and multiplier circuits are studied and a brief review is presented in this paper about how different designs and different methodologies are proposed to achieve high performance, low power consuming and also with less delay.
Self-Attention Based Visual Dialogue

We improvised the performance on the task of Visual Dialogue. We integrate a novel mechanism called self-attention to improve the results reported in the original Visual Dialogue paper. Visual Dialogue is different from other downstream tasks and serves as a universal test of machine intelligence. The model has to be adroit in both vision and language enough to allow assessment of individual answers and observe the development. The dataset used in this paper is VisDial v0.9 which is collected by Georgia Tech University. We used the same train/test splits as the original paper to estimate the result. It contains a total of approximately 1.2 million dialogue question-answer pair which has ten question-answer pairs on ~120,000 images from COCO.To keep the comparison fair and simple, we have used the encoder-decoder architecture namely Late-Fusion Encoder and Discriminative decoder. We included the self-attention module from SAGAN paper into the encoder. The inclusion self-attention module was based in the fact that a lot of answers from visual dialog model were solely based on the questions asked and not on the image. So, the hypothesis is that the self-attention module will make the model attend to the image while generating an answer.
Learning programs for the quantum computer

Manual quantum programming is generally diffcult for humans, due to the often hard-to-grasp properties of quantum mechanics and quantum computers. By outlining the target (or desired) behaviour of a particular quantum program, the task of programming can be turned into a search and optimization problem. A flexible evolutionary technique known as genetic programming may then be used as an aid in the search for quantum programs. In this work a genetic programming approach uses an estimation of distribution algorithm (EDA) to learn the probability distribution of optimal solution(s), given some target behaviour of a quantum program.
Fusion Knowledge Graph and Collaborative Filtering Recommendation Algorithm

The influence of data sparse, the collaborative filtering recommendation algorithm has the problem of inaccurate recommendation.Therefore, this paper proposes a collaborative filtering algorithm that fuses knowledge graph.By introducing rich content information of items into the item-based collaborative filtering algorithm, this algorithm effectively makes up for the fact that the collaborative filtering algorithm ignores the content information of items.Experiments show that the algorithm is better than the original algorithm to some extent, so as to alleviate the problem of data sparse.
Circular Index for the Book, Fan and Tridegreed Graphs

The universe of diagram thought is well off in its hypothetical improvement comparatively to in finding programming zones. one of the all around examined thoughts in diagram statute is the hole between vertices in a charts, explicitly while a diagram is used in demonstrating genuine overall inconveniences. in this paper a round separation among any vertices of a graphx is portrayed. so also for charts like digital book, Fan and Tridegreed diagrams the round record has been watched.
The building blocks of life

‘As long as I can remember, I have loved space. I used to climb out on the roof to just stare at the stars.’ --Sara Motaghian Day, S., The building blocks of life. Geoscientist 30 (11), 24-25, 2020 https://doi.org/10.1144/geosci2020-123; Download the pdf here
Corona-Covid-19 virus and its impact on the use of electronic information sources : a field study to identify the extent to which students in the various educational stages use electronic sources of information to meet their cognitive and informational needs for distance learning in some countries of the world

The study aims to identify the extent of the impact of the spread of thecoronavirus Covid-19 on the use of electronic sources by beneficiaries at differenteducational stages to meet their knowledge and information needs for distancelearning in some countries of the world, namely Egypt- Qatar – USA . Where thestudy included many sections, the first of which included the theoretical section,which included the methodology of the study and consisted of the introduction -the importance of the study and the reasons for choosing the subject - studyquestions - study limits - study methodology / study and data collection tools -previous studies as well as the definition of the virus corona in general and Covid- 19 in particular and what sources of electronic information, and the stage of itsdevelopment over time and the most important physical forms within libraries andinformation centers that have become the most important information facilities inmodern times, Then the study moved to the practical aspect, which consisted inthe preparation of electronic questionnaire in Both Arabic and English so thatnon-Arabic speakers can answer it, in order to measure the impact of thecoronavirus on the use of electronic sources, where the questionnaire includedthe number of eleven different questions to cover all aspects of the study, andspecific so that the study community can answer it in order to achieve theprinciple of ease and speed where the number of sample study and whichresponded 554 students to be the basis of the statistical work and To reach theresults of the study .