Reviewerly/exHarmony huggingface dataset:
Pedagogic Exploration in Adapting Automatic Writing Evaluation Software into University Writing Classes

Automated Writing Evaluation (AWE) is computer-generated scoring and feedback used to evaluate and provide feedback on writing, and it is sometimes used for both assessment and instructional purposes.While it has relatively high precision for some types of writing errors, recall is much lower than feedback provided by a trained instructor.Despite this, AWE has the possibility of playing an important role, specifically, in supplementing teacher feedback to reinforce the learning process of students as well as to alleviate writing teachers' stress.However, limited research has been published on the ways AWE could be integrated as an instructional tool, especially in big-sized writing classes at higher education.Therefore, our study aimed to investigate whether the integration of AWE in big-sized English academic writing classes could enhance teaching and learning.To achieve this, both quantitative and qualitative data were collected from two AWE-assisted writing classes in 2020.Consistent with some previous studies conducted in smaller classes, the results of 163 students' essays comparisons showed that Grammarly enabled most students (71%) to become more aware of some specific writing problems, namely, the issue of formality and grammatical, lexical and sentence structure errors.However, the interview data of 40 students revealed that most students (n=34) considered Grammarly most useful at the post-writing stage but a distraction at outlining and writing stages.Lastly, the two teacher participants suggested the value of AWE in facilitating the quality of peer reviews, as it effectively provided guidance for discussion and motivated the students to negotiate for meaning.
Analysis &amp;amp; Design of Feminine Napkin Delivering Machine

Nowadays ladies/girls feel shy and embarrass to get napkins in the shop. So, to avoid this trouble it is planning to design automatic napkin vending machine. The price can be preset for desired napkin value. It includes LCD displays to show available stock of napkins, product price, inserted coin value, balance required and a thank you message after each successful transaction. This machine will sense the coins is valid or not and if it is valid coins, the machine will start delivering the selected products. Electronic coin acceptor, which accepts different variants for Indian coin, have the facility for multiple insertion and also easily programmable in the field for any new coins which may be introduced at a later stage.
Improving Reliability of ERP System in Cloud Architecture with Dynamic Cluster and Multi Handling Thread Approach

Cloud Computing is a resource that provides network access to a shared group of customizable computing resources whenever it requires, promptly without any huge efforts or interaction with the service provider. Different organizations and services (ERP) can easily distribute their sources and services with the help of Cloud Computing which made the companies not to stress over the computing resources provision planning. Companies’ ERP of companies’ business and transactions are the shared responsibility of the Cloud system and the organization. Enhancing the secured data transaction on ERP at every level is the motive of this paper. In this research paper, Novel architecture is introduced for implementing optimized methodology which enables reliable ERP solutions with high speed.
Recognition of Design Fixation via Body Language Using Computer Vision

The main objective of this study is to recognize design fixation accurately and effectively. First, we conducted an experiment to record the videos of design process and design sketches from 12 designers for 15 minutes. Then, we executed a video analysis of body language in designers, correlating body language to the presence of design fixation, as judged by a panel of six experts. We found that three body language types were significantly correlated to fixation. A two-step hybrid recognition model of design fixation based on body language was proposed. The first-step recognition model of body language using transfer learning based on a pretrained VGG-16 convolutional neural network was constructed. The average recognition rate achieved by the VGG-16 model was 92.03%. Then, the frames of recognized body language were used as input vectors to the second-step fixation classification model based on support vector machine (SVM). The average recognition rate for the fixation state achieved by the SVM model was 79.11%. The impact of the work could be that the fixation can be detected not only by the sketch outcomes but also by monitoring the movements, expressions, and gestures of designers, as it is happening by monitoring the movements, expressions, and gestures of designers.
Optimal Data Integration Schema Development for Web Big data Using Web Mining Techniques

:     The data collection present in web pages is of heterogeneous type with different level of formatting and styles. The process of identifying the relations between one web page to another based on the common criteria along with the integration of those needed information's as per the requirement from the web accessing people are an important task in web mining nowadays. The data integration of big web pages is tedious process due to its quantity and quality with proper matching algorithms. The development of optimal schema in web data extraction and integration is an essential part in efficient web communication. This paper proposed efficient and optimal data integration schema development for web data using web mining techniques. In future this paper will be extended with artificial intelligence techniques of implementation through machine learning to attain an advanced level of web usage after the implementation and completed learning of 5G throughout the world.
CASTR: Assisting Bug Report Assignment Recommender Creation

Issue tracking systems are used to make a software development process more manageable, especially for a geographically dispersed team.However, for each bug report, a decision-making process called bug report triage needs to be performed.A common bug report triage decision is the assigning of a developer to a specific bug report.Bug report triage can take significant time and resources.Bug report assignment recommenders have been proposed for reducing the workload of a project member.However, creating a recommender is complex, as project members have to perform several steps such as data preparation and selection of a machine learning algorithm.Although previous work has sought to find specific answers for aspects of the assignment recommender creation process, to the best of our knowledge, only a few other works have examined assisting with this recommender creation process.CASTR (Creation Assistant for Supporting Triage Recommenders) [1, 2] is a platform-independent multi-tier web application.It allows a project member to analyze the dataset using a graphical representation and also assists in configuring project-specific parameters for a machine learning algorithm.This demonstration shows how to use CASTR to create a bug report assignment recommender, which consists of the following steps:
Adding Structure and Removing Duplicates in SPARQL Results with Nested Tables

The results of a SPARQL query are generally presented as a table with one row per result, and one column per projected variable. This is an immediate consequence of the formal definition of SPARQL results as a sequence of mappings from variables to RDF terms. However, because of the flat structure of tables, some of the RDF graph structure is lost. This often leads to duplicates in the contents of the table, and difficulties to read and interpret results. We propose to use nested tables to improve the presentation of SPARQL results. A nested table is a table where cells may contain embedded tables instead of RDF terms, and so recursively. We introduce an automated procedure that lifts flat tables into nested tables, based on an analysis of the query. We have implemented the procedure on top of Sparklis, a guided query builder in natural language, in order to further improve the readability of its UI. It can as well be implemented on any SPARQL querying interface as it only depends on the query and its flat results. We illustrate our proposal in the domain of pharmacovigilance, and evaluate it on complex queries over Wikidata.
Insight of medical students on online teaching during COVID-19 pandemic-A survey

: The Global disease (COVID-19 pandemic) has impacted our lives in various ways. Online teaching is the strange routine for studying platforms to continue with the process of educating students, Online classes have become a key component in the continuity of education. : 1. This study aims to rank the usefulness of online teaching compared to classroom conventional teaching 2. Socioeconomic parameters related to online teaching in a medical college : The study is a cross-sectional study done on medical students. A questionnaire was prepared listing the various ways in which they discern online teaching trying to cope up during the pandemic. : After the institutional Ethics committee clearance, online cross-sectional study was done on the medical students where from the 2 and 3 year. This online survey was done between 10May 2021- 10 June 2021, A total number of 211 students participated out of 250, after completion of 18 months of online classes. A Set of 15 self -designed questionnaire based on 5 point Likert scale was given to the students to rank the effectiveness through online class usefulness levels and satisfaction levels on various parameters. Students were also asked about the demographic factors. The data was analyzed using software SPSS software The study results shows that online classes is less helpful in five parameters and equally helpful in five parameters but was not at all superior to conventional methods, we can come to the interpretation that students think that classroom teaching cannot be replaced by online teaching. We can conclude that online studies can only be a supplement and cannot be an alternate for the established order of learning
MERGE OF THE TECHNİCAL ANALYSİS TYPES GİVES THE BEST RESULTS İN CRYPTOCURRENCY MARKET

Cryptocurrencies are a modern kind of financial instrument (Hudson &amp; Urquhart, 2019), the first cryptocurrency is Bitcoin , proposed by who called Satoushi Nakamato (2008), as The open source was created on the proof-of-concept principle that transactions can be securely treated on a decentralized peer to peer network without the need for a central clearinghouse, which appeared 2009 ( Heid, 2013). The success of the bitcoin blazes a trail to what called ‘Altcoin” this expression means all the cryptocurrencies that set in motion after the victory of the bitcoin, these coins sell themselves as the best alternatives for the bitcoin (FRANKENFIELD, 2020) . There are many types for the altcoin. The third type of the cryptocurrency is called Tokens Unlike Bitcoin and Altcoins, tokens are not able to activate independently and are dependent on the grid of another cryptocurrency. That means they do not have their own core DLT or blockchain, but instead, are built on top of an existing cryptocurrency’s blockchain (Types of cryptocurrencies: explaining the major types of cryptos, 2019). The worth of bitcoin doesn’t depend on any tangible asset or economies of the countries while it is based upon the security of an algorithm which traces all transactions (Hudson &amp; Urquhart, 2019). The studies determine the number of the bitcoin price development in the long -run (Ciaian, Rajcaniova, &amp; Kancs, 2018): • Market forces of the Bitcoin supply and demand • The bitcoin’s attractiveness for the investors • The influence of global macro-financial developments If you're forming an investment strategy designed to help you trail long-term financial intentions, understanding the relationship between company size, return potential, and risk is vital. (Market cap—or market capitalization—refers to the total value of all a company's shares of stock, 2017) .Hence , Manifested importance a cryptocurrency’s market capitalization as the total values of all coins currently in circulation. the cryptocurrency’s market cap contains what’s called Bitcoin Dominance that is the ratio between the market cap of bitcoin to other coins of the cryptocurrency markets (jacobcanfield, 2019) . Cryptocurrency trade is attractive type of investment. this market treated the same of the foreign exchange and stock market ( Radityo, Munajat, &amp; Budi, 2017). The investors using the same basic in investment (buy low, sell high) but they need to calculating the risks
Методи діагностики дитячо-батьківських стосунків та психологічного мікроклімату родини, що виховують дитину з ООП

International scientific and practical conference «Pedagogy, psychology and teaching methods: international experience» : conference proceedings, July 16–17, 2021. Riga, Latvia : «Baltija Publishing», 2021. 295 pages.
Flashcard Learning Media to Improve English Vocabulary for Elementary School Students

&lt;em&gt;This article aims to create new innovations in learning media so that learning in elementary schools can run effectively and improve the mastery of English vocabulary. The research method used is literature study. The research method used is a review study of books, literature, notes, and reports relating to the problem being solved. Literature sources in this study were obtained from books, journals, and research results. This research includes the process of identifying theories systematically, finding literature, and analyzing documents that contain information related to the research topic. The result of this study is learning media that can be applied by teachers to achieve learning objectives effectively and improve the mastery of English vocabulary.&lt;/em&gt;
Themes and Trends in Global Maritime Journals Using Keyword Network Analysis

This study identifies research themes and trends of international journal data in global maritime affairs, fisheries, marine and transport policy, and logistics over the last 20 years from 2000 to 2020 using keyword network analysis through degree centrality. This study pays special attention to six different types of patterns through the Delta-C algorithm. First, we discuss highly remarkable research themes that are shared throughout all the three periods defined as Type A. Second, we focus on interest-increased, interest-decreased, and newly emerging research themes shown in the most recent period (the third period) from Type B to Type F. Finally, we show the networks of researchers and the distribution and network visualization of research nations. This study shows two new findings. First, in Type A representing consistently shared themes, the main research themes change from growth and fishery management in fisheries and sustainability and governance in maritime sectors in the 2000s; to growth and aquaculture in fisheries and accessibility, China and sustainability in maritime sectors in the early 2010s; and to aquaculture and growth in fisheries and accessibility, climate change, and China in maritime sectors in the late 2010s. Second, in Type F as new trends, the top 10 keywords in newly issues illustrate that issues surrounding climate change and Green House Gas emission attract more attention in the literature, the subjects of machine learning and artificial Intelligence (AI) become popular in accordance with the development of internet of things (IoT) in the late 2010s, and Belt-Road initiative demonstrates the enlargement of China’s economic potential in the 2010s.
BESOCIAL : towards a sustainable strategy for archiving and preserving social media in Belgium

The amount of digital data we produce every day is mind-boggling. The content produced on social media fuels the flood of data. However, social media content is very ephemeral and is often not archived by universities or heritage institutional stakeholders, creating serious challenges for (digital) scholars who want to use the content of archived social media as a source. Also, the absence of social media in national web archiving initiatives raises great challenges of preserving our digital heritage and supporting the understanding of contemporary society and its future.This poster abstract introduces BESOCIAL (2020-2022) – launched by KBR and financed by BELSPO1 -, a cross-university collaborative and interdisciplinary project with a goal to develop a sustainable strategy for archiving and preserving social media in Belgium. This project builds on the PROMISE research project (2017-2019), which developed a strategy for archiving Belgian websites. Together with an interdisciplinary team – CRIDS2 , CENTAL3 , IDLab4 , GhentCDH5 , and MICT6 – , a Belgian opening in the social media archiving landscape is made. The goal is to create a strategy for analyzing social media expressions from a linguistic, cultural, historical, … perspective. In this way, this “new” form of born digital data will be preserved and searchable as part of our cultural heritage.
Phonetic Feature Requirement for the Small Assistant Robot

Person Re-identification (Re-ID) is an important technique in intelligent video surveillance. Because of the variations on camera viewpoints and body poses, there are some problems such as body misalignment, the diverse background clutters and partial bodies occlusion, etc. To address these problems, we propose the Global-Local Background_bias Net (GLBN), a novel network architecture that consists of Foreground Partial Segmentation Net (FPSN), Global Aligned Supervision Net (GASN) and Background_bias Constraint Net (BCN) modules. Firstly, to enhance the adaptability of foreground features and reduce the interference of the background, FPSN is applied to perform local segmentation on the foreground image. Secondly, global features generated by GASN are purposed to supervise the learning of local features. Finally, BCN constrains the background information to reduce the impact of background information again. Extensive experiments implemented on the mainstream evaluation datasets including Market1501, DukeMTMC-reID and CUHK03 indicate that our method is efficient and robust.
Playful application with augmented reality in prolonged medical treatments

This article introduces ERA, a mobile application that works as a paratext for a children's book called Kota Corta. It was developed with the aim of accompanying infant patients during prolonged therapeutic treatments. The application uses augmented reality techniques to promote reading and improves interaction with textual stories and static images. For the development of the application, an interdisciplinary work was carried out between students and teachers of the Faculties of Computer Science and Arts, belonging to the National University of La Plata. In this project, books created within the pedagogical and social Arts project were first analyzed. Then Kota Corta was selected as the pilot book on which ERA was designed and implemented, the first prototype app that includes audio, sounds and animations, as well as a kit of didactic games for different levels. Several tools were analyzed for the app development, according to some criteria allowing us to choose the most appropriate among them. ERA was tested with boys and girls in prolonged medical treatments with good results. Finally, the development of the app so far and the results obtained in a first experience are introduced.
Boosting Stemmer Performance Using Cache Method

Stemming is the process of returning the word to the base word by disappearing the append. This is important to support better information re-meeting. Some research in stemming algorithms includes nazief &amp;adriani algorithms, confix stripping, enhanced confix stripping, arifin and porter algorithms. The stemming algorithm for Bahasa Indonesia is divided into two, namely those that use a dictionary and do not use a dictionary. Some studies have shown that stemmers that use dictionary have high accuracy but low process speed, while stemmers that do not use dictionary have low accuracy but higher process speed. In this study, two methods were used: the stemmer method using cache and stemmer without cache to see the comparison of process speed from stemmers that use dictionary. The test data for this study is text data obtained from the corpus site. Process analysis is completed by calculating each speed, memory usage and cpu of each method, then each method is compared. Results from tests from test data showed that the cache method improved stemmer performance.
SENTIMEN ANALISIS TERHADAP KEBIJAKAN PEMBELAJARAN JARAK JAUH SELAMA PANDEMI COVID-19 MENGGUNAKAN ALGORITMA NAÏVE BAYES

Social media is a means to convey aspirations directly, but every aspiration is from social media users. Everyone who expresses opinions on social media contains positive, negative, and neutral sentiments. The implementation of the Ministry of Education and Culture's policy on the implementation of distance learning policies during the pandemic COVID-19 received various responses from the people of Indonesia. neutral as many as 894 comments, then 52 comments with negative sentiment, and 32 comments with positive sentiment with an accuracy value of 98.79%
The Effects of Principals’ Emotional Leadership and Teachers’ Empowerment on Organizational Effectiveness: Focused on Institutions in Korean Early Childhood Education

Organizational effectiveness has been regarded as a vital factor of success in organizations. Especially, in the school system, the principals’ leadership and teachers’ perception of empowerment have been reported as the important variables affecting organizational effectiveness (Sin, 2008). However, few study has investigated organizational effectiveness and related factors in the setting of early childhood education in South Korea. Therefore, we examined the effects of principals’ emotional leadership and early childhood teachers’ empowerment on organizational effectiveness in kindergartens and childcare centers in South Korea. The sample comprised 250 early childhood teachers in South Korea. The empirical data were collected by administering the Organizational Effectiveness Scale for Early Childhood Teachers (Lee, 2016), Emotional Leadership Scale for Early Educational Program Directors (Kwon & Kim, 2014), and School Participant Empowerment Scale (Short & Rinehart, 1992). The collected data were analysed using SPSS 22.0 with the descriptive statistics, Pearson’s correlation analysis, and the analysis of multiple regression. The results revealed that principals’ emotional leadership and early childhood teachers’ empowerment positively affected organizational effectiveness in the setting of early childhood education in South Korea. Moreover, teachers’ empowerment had more impact than principal’s emotional leadership on organizational effectiveness. The finding of this study suggest that principals’ emotional leadership and early childhood teachers’ empowerment should be improved to increase organizational effectiveness in early childhood educational institutions.