Reviewerly/exHarmony huggingface dataset:
Development of Geometry Flipbook Multimedia Learning Media for Elementary School students in Mattiro Bulu District, Pinrang Regency

This study aims to develop a learning media in the form of multimedia geometry flipbook that are suitable for use by elementary school students. This research uses Research and Development Method, with The phases in this research consist of; (1) product analysis, (2) design products, (3) Development, validation and revision. This research used is a mixed approach. The results of the research at the analysis stage, the researcher found problems through a geometry ability test, analyzed the curriculum, and the students needs. The results of the design stage, namely designing the story board, preparing the content/material to be included in each menu, and compiling the learning media assessment instrument. The results of the development stage, namely product manufacture and validation and revision. The results of expert validation by material experts are included in the very worthy criteria (96.95%). The results of the validation by media experts showed very worthy criteria (98.18%). The results of the teacher's response as learning practitioners showed very worthy criteria (89.04%). Based on these results, the multimedia flipbook learning media for elementary school students in the Mattiro Bulu sub-district developed is suitable for learning geometry in elementary schools.
Fulfillment of standards of education and education workers

The purpose of this study was to determine the level of compliance with the standards of educators and education at SLBN Salatiga. This study uses a saturated/census sampling technique. Data collection techniques using questionnaires, documentation and interviews. The data analysis technique used Quantitative Analysis Techniques. The results showed that the fulfillment of the standards of educators and education personnel at SLB Negeri Salataiga was the teacher aspect which reached 94.62%, then the principal was 82.05% and the education staff was 81.11%, or overall showed very high compliance.
AutoCom: Automatic Comment Generation for C Code

Code comments improve program comprehension and program maintenance.However, the lack of comments is a common problem in industry.It is time-and manpower-consuming to add comments for large code bases.Thus, it is desirable to develop techniques for automatic comment generation.Previous works for automatic comment generation use deep learning or machine learning techniques.These techniques require a large amount of training data which is often unavailable or hard to acquire.This paper proposes a light-weight approach called AutoCom for automatic comment generation.In AutoCom, we first analyze the source code to extract key information.Then, we use the extracted information to search and filter for appropriate text from a large programming Question and Answer (Q&A) site.Lastly, we use NLP techniques to convert the search result into code comments.In addition to the generated code comment, we also add predefined comments for library function usage in the source code.With AutoCom as the back-end, we built a web service which allows the user to upload source code and get it commented.
Use of Electronic Resources by Postgraduate Students of Information Studies at the University of Zululand, South Africa

The purpose of the study was to investigate the level of use of electronic resources (e-resources) by postgraduate students at the University of Zululand in South Africa. The theoretical basis of the study was informed by the Technology Acceptance Model proposed by Davis in 1989. The study adopted a post-positivist research paradigm to enable numerous perspectives by using both quantitative and qualitative research approaches. A total of 66 questionnaires were sent to postgraduate students and 46 (70%) were returned. In addition, interviews were conducted with eight information librarians and two e-resource librarians from the University of Zululand. The study revealed that the use of the library by postgraduate students at the University of Zululand was exceptionally high. In the same vein, the level of awareness about the availability of e-resources was high. Librarians and postgraduate students were able to identify the different types of e-resource available at the University of Zululand library. Electronic databases and electronic journals (e-journals) were highly used, but electronic books (e-books), electronic catalogues (e-catalogues), and CD-ROMs were rarely used. The marketing methods of e-resources include departmental and faculty conferences. The study unveiled a limited budget and inadequate functional computers as challenges that hinder the effective use of e-resources by postgraduate students. The study recommends that the management of the University of Zululand increase the budget for e-resources. The institution should also consider seeking funds to purchase additional computers and expanding the computer laboratory to accommodate a larger number of postgraduate students.
Chinese Sentence Semantic Matching With Multi-Granularity Based on Siamese Neural Network

Sentence semantic matching is one of critical research in various NLP tasks such as natural language inference, paraphrase identification, and question answering, in which similarity of input sentences has always been a key aspect to determine the semantic relations of sentences.One of the most popular models is to utilize single word granularity to address the semantic similarity.However, it is not appropriate for Chinese sentences semantic matching.This is because there are various meanings following various granularities such as characters or word segmentation in a Chinese sentence.In addition, it is difficult for the sentence semantic matching due to its own short contents and sparse features.Inspired by Siamese Neural Network, an artificial neural network that uses the same weights while working in tandem on two different input vectors to compute comparable output vectors, this paper proposes a Multi-Granularity Fusion neural network, which enables preserving semantic features from both the character-granularity and the word-granularity in Chinese sentences.The paper evaluates the proposed architecture on highly competitive benchmark datasets related to sentence matching.Experimental results show that the proposed architecture, which retains both characters and words features of sentences, and achieves state-of-the-art performances for most of the tasks.
Investigating distributed functional connectivity during word and nonword visual recognition

Functional magnetic resonance imaging (fMRI) studies have repeatedly demonstrated that word recognition is associated with activation of the Visual Word Form Area (VWFA) in the left hemisphere (LH). We investigate the question: what other regions in both the right and the left hemispheres are engaged in reading, and how do they synergistically interact with the VWFA to enable word recognition?
Digital Life Skills in Education amidst Covid 19: A New Framework for Learning in 21st Century

With the continuous march of time education starts following the virtual road where distance becomes a trifling matter. Sudden appearance of Pandemic situation has made us concerned about the digital skills necessary for virtual learning for a student as well as for a teacher. As proper Life Skill Education teaches us the lessons of adaptability in real life, to survive in the tech world, Digital Life Skills are also needed for safety, security as well as for personal and social development. This article described various types of Digital Life Skills and their importance in covid 19 situation and it also dealt with the new Framework for 21st Century Learning where such digital Skills play a great part to be associated with the other professional as well as pedagogical skills.
Content and Significance of Jeong Seok-jong’s Study on People’s History in the Late Joseon Dynasty: Focusing on ‘Jeong Seok-jong, His Life and History’

The 20th anniversary commemorative book of Jeong Seok-jong’s death, ‘Jeong Seok-jong, His Life and History’, is a compilation of the ‘Memorial Collection’, where people can look back on his life by collecting the memoirs of those around him, and the ‘Thesis Collection’, a collection of Jeong Seokjong’s representative theses. First, the ‘Memorial Collection’ helps us understand the social role of history studies amid the heightened aspirations for democracy in the 1980s along with the academic atmosphere of the spread of nationalism and overcoming colonial history after the April 19 Revolution. In addition, his ‘Thesis Collection’ mainly focuses on the classes of people who had been discriminated against and marginalized in the daily life of the Joseon Dynasty, such as those born out-of-wedlock, monks, and slaves. While approaching the social system and structure of the change in the status system, he tried to delve into their daily lives that existed in the system and structure. In this regard, this book is expected to serve as a ‘communication window’ for young researchers who want to critically inherit the practicality of people’s history in the 1970s and 1980s.
Features Interactive Technologies for Improving Creative Activity of Students

The paper discusses the methodological features of the use of interactive methods as a means of enhancing the creative activity of students in the educational process.
Helping pathologists to count: Using Artificial Intelligence to count lymphocytes

Lymphocytes have been found to beimportant biomarkers in multiple tumors. However, automating lymphocytecounting on tissue images is not a trivial task. These tissue images aremassive in size, requires a certain set of rules to be followed when being analysedand moreover, the counts produced by different annotators for the same tissueoften are not tallying. Given the prognostic relevance of lymphocyte counts intreating cancer patients, having a unified framework which can overcome theselimitations is highly appreciated by the medical staff. In my research I amtrying to address these challenges and build a reliable and robust model toassist doctors in their clinical activities.
Aplikasi Akuntansi Simpanan Anggota Pada KUD Bangkit Abadi Desa Bandorasawetan

The Bangkit Abadi Village Unit Cooperative (KUD) is a cooperative located in Bandorasawetan Village, whose main activity is providing savings services for cooperative members with the aim of prospering cooperative members and the surrounding community. With the existence of this cooperative, it is hoped that it will create a desire and increase public awareness to save. This KUD does not yet have a good computerized system. Therefore, there are still some obstacles in KUD Bangkit Abadi in terms of new member registration activities and member savings. These activities will run smoothly if supported by a good system and by implementing a good internal control system in cooperatives, so as to prevent errors in data processing. The procedures that apply to the KUD include related parts, namely registration, member data, internal control systems, and documents used. The analysis and design stages of the application system are described using flowcharts, Data Flow Diagrams (DFD), Entity Relationship Diagrams (ER-Diagrams) and developed using MySQL database as a programming language. This relationship is narrated into several diagrams, namely: context diagrams, data flow diagrams level 0 and level 1, relationships between entities, and relationships between tables used. The results obtained from the design of this application are in the form of member book reports, savings data reports, and general journal reports as a form of description of the activities of new member registration and member savings at the Bangkit Abadi Village Cooperative Unit.Key words: Applications, Accounting, Savings, Cooperatives
Creating, Deleting, and Updating Events on FullCalendar Using RTK

In the last chapter, we set up Redux Toolkit and learned how to dispatch an asynchronous action to the Store. We’ve also started to build our Calendar component.
Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets.

HL7 Fast Healthcare Interoperability Resources (FHIR) is one of the current data standards for enabling electronic healthcare information exchange. Previous studies have shown that FHIR is capable of modeling both structured and unstructured data from electronic health records (EHRs). However, the capability of FHIR in enabling clinical data analytics has not been well investigated. The objective of the study is to demonstrate how FHIR-based representation of unstructured EHR data can be ported to deep learning models for text classification in clinical phenotyping. We leverage and extend the NLP2FHIR clinical data normalization pipeline and conduct a case study with two obesity datasets. We tested several deep learning-based text classifiers such as convolutional neural networks, gated recurrent unit, and text graph convolutional networks on both raw text and NLP2FHIR inputs. We found that the combination of NLP2FHIR input and text graph convolutional networks has the highest F1 score. Therefore, FHIR-based deep learning methods has the potential to be leveraged in supporting EHR phenotyping, making the phenotyping algorithms more portable across EHR systems and institutions.
University Library: Eagle Search: Alma and Primo VE: Migration Impacts

This guide includes information about the new next-generation Integrated Library System called EagleSearch coming to the library on July 13, 2021.
Model for Career Development Information System Information and Communication Technology based on Expert Systems in the Industrial Revolution 4.0

This research in the field of Information and Communication Technologies (ICT) careers in Informatics Engineering students based on expert systems to answer the challenges in the era of industrial revolution 4.0, where this research was conducted in the final semester students to find out career profiles in the field of what is potential for students to become a reference for working in the field of Information Technology, especially Informatics Engineering and expertise in accordance with the achievement and mastery of the material field with a proven 80 to 100 according to the achievement of the Semester Learning Plan (SLP) in each course, then if the student reaches the value of 80 to 100 then it is declared successful and becomes a determinant of career profile by managing the forward chaining method on the expert system so that students can find out their profile for potential work.
Agile Development of Cross-University Digital Education Ecosystems

Agile methodology for software development and IT projects has developed into more complex, hybrid project management frameworks – notably the Scaled Agile Framework (SAFe). This allows the agile management of complex IT portfolios or development programmes which require methodology which goes beyond the single-project-single-team scope of e.g. the basic Scrum approach. The SAFe methodology claims to be the right approach for lean enterprises. But this still assumes that it is implemented in a single organization with stable organizational setups and team structures and with professional staff. In contrast, we apply SAFe in a typical distributed and loose environment of an Open Source development project. Instead of a dedicated team, the involved staff is organized in an informal, open community of practice (OpenCoP) where participants join and leave and where staff contributes only certain amounts of time with a limited commitment. In addition, we deal with a university led IT programme which involves students as developers with limited experience and competence in professional project work. This paper presents the case study of the development of a Digital Education Ecosystem (DEE) for a Virtual Master School. The members of this Master School (including the students) are the co-developers and the users of the DEE. They form an OpenCoP which develops a customized IT system for their own needs. Applying SAFe in such an environment is new and challenging. This paper describes first experiences in this field.
A Note on the Growth of the Dimension in Complete Simple Games

The remoteness from a simple game to a weighted game can be measured by the concept of the dimension or the more general Boolean dimension. It is known that both notions can be exponential in the number of voters. For complete simple games it was only recently shown that the dimension can also be exponential. Here we show that this is also the case for complete simple games with two types of voters and for the Boolean dimension of general complete simple games, which was posed as an open problem.
Secondary School English Teachers’ Knowledge and Practice on CEFR-Aligned English Curriculum

The Ministry of Education aligned the national English curriculum with the Common European Framework of Reference for Languages (CEFR) to increase the quality and standard of English Language. The success in implementing this educational reform is highly dependent on teachers. Teachers need to have sufficient knowledge in the incorporation of CEFR in their teaching to develop the ability of students to meet targeted CFER levels of English proficiency. The purpose of this study is to identify the teachers’ level of knowledge and practice on CEFR-aligned English curriculum. A total of 148 teachers who teach Form 1 and Form 2 English from the secondary schools in Pulau Pinang were involved in this study. The instrument of this study was a closed-ended questionnaire adapted from Kır (2011) and Ngo (2017). The data were analysed using descriptive and inferential statistics. Inferential analysis was conducted using Pearson correlation and Analysis of Variance (ANOVA) test. The findings showed that the level of knowledge (M = 3.49, SD = 0.58) and practice of teachers (M = 3.50, SD = 0.55) on CEFR-aligned English curriculum were moderate. Also, there was a strong relationship between teachers’ knowledge and practice on CEFR-aligned English curriculum. There was a significant difference existed in the level of knowledge and practice on CEFR-aligned English curriculum based on demographic factor namely the type of training received by teachers on CEFR. The findings of this study implied that the training and workshops ought to be conducted frequently as a support for teachers towards the implementation.
Analisis Sentimen Terhadap Kebijakan Pemerintah Tentang Larangan Mudik Hari Raya Idulfitri di Indonesia Tahun 2021 Menggunkan Metode Naïve Bayes

Social media as a place to access and disseminate information has grown very rapidly, one of which is Twitter. Twitter, as a place for information flow, is a rich source for seeking public opinion and sentiment analysis. Twitter in this study was used as a source to obtain data about the 2021 homecoming in Indonesia. The purpose of this study is to determine public satisfaction with government policies regarding the ban on going home in Indonesia in 2021. The data to be processed is Indonesian-language tweets, the keywords are #mudik and #diarangmudik, the length of data collection is 1 week, with lots of data generated as many as 1000. Sentiment analysis in this study using the Naive Bayes Classification method. The steps in this study are first crawling Twitter data which is then stored in csv format, second preprocessing which consists of tokenizer, case folding, cleansing and stop removal, third Naive Bayes classification which will be carried out after going through the Pre-processing stage, where the results of the classification tweets tend to be positive or negative or neutral. The results of this study obtained an accuracy of 56.52% with each positive sentiment value of 62.28%, negative sentiment as much as 46.72% and neutral sentiment as much as 66.50%.
Disjunctive strategies for tracking occluded objects in visual working memory in children and adults

Disjunctive reasoning allows us to infer properties of unobserved objects from currently observed objects, formalized by P or Q, not P, therefore Q. We asked whether children and adults can explicitly use disjunctive reasoning to track occluded objects in an attentionally-demanding visual working memory task. Thirty-six 4-7-year-olds and 6 adults viewed animated arrays of 2-3 virtual “cards” depicting images, which were then occluded by opaque “cups”. In the Face-up block, all images were visible during the brief encoding period. In the Disjunctive block, one of the cards was face down during encoding. During the maintenance period, the occluded cards swapped locations (2-3 times). Two images appeared above one of the cups, and participants were asked to select which image was hidden under that cup (chance=.5). In Disjunctive trials, the location of the face-down card was probed on half of the trials, so participants had to use disjunctive reasoning (P or Q, not P, therefore Q) to respond accurately. Adults were above chance on all trials (ps<.001), and there was no difference in their performance on Face-up vs. Disjunctive trials, suggesting they successfully deployed deductive reasoning. However, children performed significantly worse in the Disjunctive versus the Face-up block (p = .033). While children were above chance on all trials in the Face-up block (ps <.006), children’s performance in the Disjunctive block was only above chance on the easiest trial type (2 objects, 2 swaps, p=.006). Children’s performance in Disjunctive trials was higher when the target had been visible during encoding (p=.033), suggesting they failed to use disjunctive reasoning. Children’s use of the disjunctive strategy increased with age (p=.002). Our results suggest disjunctive reasoning is available as a strategy to improve visual working memory performance in adults, but the development of this ability is extremely protracted.
Screenlife vs. Classic Cinema

The article deals with a format of film narration known as “screenlife”. During the period of self-isolation, the screen media changed significantly, there emerged new forms and methods of communication with the viewer. The number of films, series and media projects in the form of “screenlife” has increased dramatically, making it necessary to analyze this segment of film production. Since in Russian-language literature only a few studies address this topic, the language of expressiveness of “screenlife” films remains poorly understood. The present paper analyses the artistic novelty of “screenlife” films. The history of the format is considered in detail starting with the instructional videos for using a certain software, filmed using the ‘‘screencast’’ technology, which were popular in the early 2000s, to modern media projects. By comparing the expressive language of these projects with classical films, the innovations of “screenlife” become apparent. Thus, for example, it is confirmed that “screenlife” films have their own diegetic space formed by the computer desktop, defining their own expressive means, such as transitions as part of the structure of minimized windows and applications in use. Such films are characterized by: the absence of actors, an ‘‘implied’’ protagonist, providing a greater degree of identification between the viewer and the character; a special production process that permits to create films at a distance and without the participation of some members of the crew; more “action freedom” for the creators, who, thanks to the “screenlife” format, can create a film using videos posted on the Internet, as well as any computer media. Features of “screenlife” films, systematized in the article, as well as the description of their methods and expressive means, will give impetus to their theoretical understanding and in future will help the practical development of this format.
Bengston, J. (2019). <i>Library Web Development: Beyond Tips and Tricks</i>

"Bengston, J. (2019). Library Web Development: Beyond Tips and Tricks ." Journal of Web Librarianship, 15(4), pp. 248–249