Reviewerly/exHarmony huggingface dataset:
O Arquivo Nacional doBrasil e os arquivos da comunidade de países de língua portuguesa: relações com o universo digital

The article deals with initiatives and new forms of interaction and access in digital environment of the National Archives of Brazil. It aims to present how the institution fits into the context of the digital humanities, contextualize it in the universe of portuguese language national archives and present its digital resources, which enhance the browsing experience on its website. The elaboration of the work, with qualitative approach, happens by observation and comparison with other archives of the Community of Portuguese Language Countries (CPLP). Created in 1838, the Brazilian National Archives aims at the management, collection, technical processing, preservation and dissemination of the Brazilian documentary heritage. New technologies and new media have changed the way institutions of memory and the social and human sciences areas develop their work. With the implementation and diversification of services and products, it is intended to prove that the institution stands out among the portuguese language archives, which can make it a reference.
POSTMODERN EDUCATION AND TECHNOLOGICAL DEVELOPMENT. CYBER RANGE AS A TOOL FOR DEVELOPING CYBER SECURITY SKILLS

E. Ciuperca, A. Stanciu, C. CîrnuNational Institute for Research and Development in Informatics - ICI Bucharest (ROMANIA)
교사 피드백이 외국인 유학생의 쓰기 능력과 쓰기 효능감에 미치는 영향 연구

This study aims to determine the effect of teacher feedback on international students’ Korean writing skills and self-efficacy. In particular, after providing specific and positive writing feedback to students, an experiment was conducted with the purpose of verifying whether the students’ writing skills and self-efficacy improved or changed. The 10-week experiment was carried out for 10 international students enrolled in Level 4 at a university-affiliated Korean language education institution in the fall semester of 2020. Before the midterm exam, to begin with, error correction-oriented feedback was given to the students, and after the exam, positive and negative feedback were provided at the same time in terms of content, composition, and expression as well as error correction. To examine the degree of changes in writing self-efficacy, their writing self-efficacy was measured using a writing self-efficacy scale, A Model of Writing Self-Efficacy (Roger et al., 2013) before and after the midterm test. As a result of the experiment, the students improved their writing in the final exams compared to the midterms, which were found to be statistically significant in terms of ‘Ideation’ and ‘Self-regulation’ among the categories of writing selfefficacy. In the post interview, the learners responded that they could grasp the strengths and weaknesses of their writings with specific and positive feedback from the teacher, so they could write more easily when writing later, and that they could gain confidence in writing.(Ewha Womans University)
Journal Accessibility & Typesetting on Word

Slides from a presentation at the Student Journal Forum 2021. Presented by Canadian academic libraries from Feb 16-19, 2021.
Auto-Assessment of Student Learning

Author(s): Darvishzadeh, Amirali | Advisor(s): Stahovich, Thomas F. | Abstract: Solving open-ended problems with paper and pencil is an important part of education and constitutes a large share of course workload, especially in science and engineering programs. However, grading this kind of work can be prohibitively expensive in large classes. Because of the complexity of handwritten free-form work, there are no existing computational methods capable of interpreting it. In this dissertation, we aim to work toward complete interpretation and semantic analysis of handwritten free-form solutions to homework and exam problems of the sort assigned in undergraduate engineering and science courses. In our study, students wrote their homework and exam solutions on dot patterned paper with Livescribe smartpens. Our work comprises three innovations. First, we developed methods to locate final answers. Our methods locate answers by identifying the boxes drawn around them. Experiments demonstrated that our methods are both accurate and efficient at recognizing answer boxes. Second, we developed a novel CNN-BLSTM-CRF network for semantic labeling of students' handwritten assignments. Semantic labeling is the task of classifying pen strokes according to the type of content they represent. Our method distinguishes between cross-out strokes, equation strokes, and free body diagram strokes. The input to our network is a set of pen strokes, which are sorted in chronological order, and the output is a sequence of labels for the strokes. Labeling strokes in this manner is an important step in enabling the semantic analysis of the writing. Our labeling approach outperforms existing methods. Finally, we developed a novel GRU-CRF network to locate complete mathematical equations. The network exploits the temporal context of consecutive strokes and simultaneously finds and groups equation strokes. Once our method has located the equations, they can be interpreted using existing techniques. Together, this work provides a significant step toward the automated grading of handwritten free-form course work.
Getting Smart: From Physical to Virtual Mode

Due to the global awakening and on shoot of peoples mutual services the need for better connectivity gave germination for several advanced informative systems.  This may be knowingly or unknowingly have been in part of each one’s life.  Rule of Digitalization and enhancement in virtual media over print media had been in discussion for several recent decades. It’s a well known and sensitive aspect that print media is been overwhelmed by digital media, so this sensitive part had to be evaluated and examined.In most of the recent evaluation and experimentation, the stress was based on the threats made by digital era over print media. But fewer studies were done on the better way of using these “CATALYSTS” of virtual platform on print media. More than making this physical media into a Museum Piece younger generation must use the chances of making it into better ways for learning and data collection.  Also with making sensible and effective idea over updating ourselves, overtime, with available technologies and advancements.Hence then creating a better social structure with less criticism but with more hopes and scopes on clubbing both the digital media within the physical media. “Knowledge is power”, gaining and using it to create an unbiased base so that each one will get perfected and groom with experience. This intellectuality that can be gained from this clubbing of two spheres can have better chances in human individuality.
Intra CTU depth decision for HEVC by using neural networks

As a video encoding standard, High Efficiency Video Coding (HEVC) achieves excellent performance while causing a dramatic increase in coding complexity. Especially, the coding tree unit (CTU) depth decision process is the most complicated section, which takes heavy computation complexity in the entire HEVC intra coding process. Therefore, a deep learning-based method is applied to directly predict the CTU depth level for each frame in this study. In addition, a large-scale dataset that contains the coding unit image files and the corresponding depths was generated by HM16.15 to train and test the deep learning model. Besides, a Convolutional Neural Network called LeNet is fine-tuned by modifying the original architecture, and then the model with a more complicated structure is evaluated and compared on an acquired dataset. The experiments show that the fine-tuned deep learning model has the ability to identify accurately the depth level of CTU, the recognition accuracy reaches over 98.6%.
HUBUNGAN PERILAKU MEMBOLOS DENGAN KEMATANGAN EMOSI PESERTA DIDIK KELAS VIII SMP ASSHIDDIQIYAH

The purpose of the study was to examine whether there was a relationship between Truancy behavior and emotional maturity in VIII graders of Asshiddiqiyah Middle School. The research method used was a correlational quantitative research method with 52 research samples. The data analysis technique was carried out by the correlational test with the help of SPSS 22. Based on the results of the study through the correlational test, the product moment obtained produced a negative relationship between emotional associated with ditching VIII grade students of Asshiddiqiyah Middle School with marks (2 tailed) of 0,000 and r -0,583 . Higher grades mean higher maturity of students, so it is better for more choices than studentsKeywords: Emotional Maturity, Truancy Behavior.
IoT Workload Emulation for Data Centers

<ns4:p>The Internet of Things (IoT) domain has been one of the fastest growing areas in the computer industry for the last few years. Consequently, IoT applications are becoming the dominant work load for many data centers. This has implications for the designers of data centers, as they need to meet their customers' requirements.</ns4:p><ns4:p> </ns4:p><ns4:p> Since it is not easy to use real applications for the design and test of data center setups, a tool is required to emulate real applications but is easy to configure, scale and deploy in a data center. This paper will introduce a simple but generic way to model the work load of typical IoT applications, in order to have a realistic and reproducible way to emulate IT loads for data centers.</ns4:p><ns4:p> </ns4:p><ns4:p> IoT application designers are in the process of harmonizing their approaches on how architectures should look, which building blocks are needed, and how they should interwork. While all IoT subdomains are diverse when it comes to the details, the architectural blueprints are becoming more and more aligned. These blueprints are called reference architectures and incorporate similar patterns for the underlying application primitives.</ns4:p><ns4:p> </ns4:p><ns4:p> This paper will introduce an approach to decompose IoT applications into such application primitives, and use them to emulate a workload as it would be created by the modeled application. The paper concludes with an example application of the IoT Workload Emulation in the BodenTypeDC experiment, where new cooling approaches for data centers have been tested under realistic work load conditions.</ns4:p>
토픽 모델링을 활용한 한국어 교육 연구 동향 분석 - 2016년∼2019년 한국어 교육 연구를 중심으로 -

This study aims to look at trends in Korean language education research from 2016 to 2019. For this purpose, the abstracts of academic papers published in the field of Korean language education were collected and topical modeling was implemented. As a result, eight main topics studied over five years were selected and eight subjects were as follows. : Basic research for curriculum development, academic learners, cultural education, multiculturalism, practicality of language use, learning strategy, writing education, Korean language education, Afterwards, we looked at the research trends by subject. As a result, writing education has been studied a lot recently, and there is a steady stream of research on the practicality of language use every year.
The Effects of E-Learning on University Students’ TOEIC Achievement and their Satisfaction

This study aims to investigate the effects of E-learning conducted under unavoidable Covid-19 circumstances and the satisfaction of students in class and their achievement, and to establish and suggest future countermeasures in relation to the results. For this study, 89 university students were participated. Two tests and a survey were designed for data collection. The two test results were compared to analyze students’ TOEIC achievement. The survey results were also analyzed to find out the participants’ opinion on the learning experience using E-learning method for TOEIC study. The results showed that students improved their TOEIC achievement in the second test which is statistically meaningful. The survey results showed many aspects of their learning experience. Although there were no negative opinions, there were more positive opinions on E-learning. In addition, some inconvenient points related to E-learning have been found, and improvement measures should be devised in the future.
LibGuides: ENGL 2 (Bonis): Evaluating Popular Media

A guide to library resources for Bonis' English 2 class. Social media and web content in the age of fake news
Stress Levels and Perceived Self-Efficacy of Teachers Handling Inclusive Education

This study pursued to assess the stress levels and perceived self-efficacy of teachers handling inclusive education. It utilized a descriptive comparative method and it was limited to 40 teachers-respondents. Standardized and researcher-made instruments and appropriate statistical tools were utilized to determine their level of stress and perceived self-efficacy. The respondents were classified according to the following profiles: Age, Sex, Civil Status, Educational Attainment, Job Rank, Work Shift, Number of Seminars and Trainings Attended, Length of Service and Number of Learners with Special Educational Needs, from which the researcher measured the related levels of stress and perceived self-efficacy. Of the 40 respondents, 16 or 40% are from the 26-30 years old age bracket, 11 or 27% are between 36 to 40 years old, 8 or 20% are 20-25 years old, 4 or 10%are 31-35 years old, and 1 or 3% is between 41-45 years old. Majority of the participants are female, with a number of 25 or 62.5% compared to the male respondents, which accounts for the remaining 15 or 37.5%. 22 or 55% of the participants are married, while 18 or 45% are single. Meanwhile, 25 respondents, or 62.5% have earned MA/MS units, 12 or 30% have BA/BS degrees, 2 or 5% have earned their MA degrees and 1 or 2.5% have PhD/EdD units. Rank-wise, 32 respondents or 80% are Teacher 1, 5 or 12.5% are Teacher 2 and 3 or 7.5% are Teacher 3. 30 or 75% belong to the AM shift, while 10 or 25% are from the PM shift. Majority of the respondents have not attended any training; 23 or 57.5% did not have any supplemental training to date, while the remaining 17 or 42.5% haveattended at least 1-3 trainings. In terms of length of service, 18 or 45% are relatively new, 14 or 35% have served for 6-10 years, 6 or 15% have been working for 11-15 years and 2 or 5% are with the school for 16-20 years. Lastly, 38 or 95% have 1-5 learners with special educational needs and 2 or 5% have 6-10 learners with similar requirements. From these data, the absolute value of the Pearson r value was computed and determined to be equivalent to 0.493, greater than or equal to 0.4 and less than or equal to 0.6; This indicated that stress level and perceived self-efficacy has moderately strong negative correlation.Although the respondents are likely to experience stress, the study revealed that the male participants are more likely to be stressed as compared to their female counterparts. Also, those with lower educational attainment and higher job rank are just as likely to be stressed. The study also revealed that the older participants appear to have lower self-efficacy. The researcher proposes an alternative program be adapted in the school to manage stress and help promote self-efficacy. Also, additional studies may be conducted to refine findings gathered.
LIS4: Lesk Inspired Sense Specific Semantic Similarity using WordNet

Semantic similarity quantification between concepts is one of the inevitable parts in domains like Natural Language Processing, Information Retrieval, Question Answering, etc. to understand the text and their relationships better. Last few decades, many measures have been proposed by incorporating various corpus-based and knowledge-based resources. WordNet and Wikipedia are two of the Knowledge-based resources. The contribution of WordNet in the above said domain is enormous due to its richness in defining a word and all of its relationship with others. In this paper, we proposed an approach to quantify the similarity between concepts that exploits the synsets and the gloss definitions of different concepts using WordNet. Our method considers the gloss definitions, contextual words that are helping in defining a word, synsets of contextual word and the confidence of occurrence of a word in other word’s definition for calculating the similarity. The evaluation based on different gold standard benchmark datasets shows the efficiency of our system in comparison with other existing taxonomical and definitional measures.
IMPLEMENTATION OF WEBSITE BASED SALES ADMINISTRATION SYSTEM IN MUHAIMIN FURNITURE MADIUN DISTRICT

Abstract:  This research aims to build an administrative system for selling goods. With the addition of this system is the processing of a company's data easily and in detail, faster data search, organized data with a sequential system design online, and easy in making a report. The research model used is the waterfall model. The steps begin from the analysis of software requirements, design, program code creation, testing, support (support) or maintenance (maintenance). The results of this study are the system of selling goods administration. Based on the results of the answers of 5 respondents to the questionnaire questions, it was found that the majority of respondents said 94% chose strongly agree and 6% chose to agree. Then the respondents can be categorized as giving a very decent value to the system built, it can be said that the system that was built is very feasible to use.
Perancangan Data Warehouse Untuk Prediksi Penjualan Pada Orba Express Menggunakan Pentaho

The Data Warehouse is a large data Storage facility or something called a Data Warehouse. The human work that requires so much data makes it harder to do it by hand. Such large amounts of data then hinder one from managing the data and predicting the products that are so popular by consumers that they decide to store them in the Data Warehouse. The Data Warehouse is the solution to the problem to predict a sale of a product. The Data Warehouse is a system that can extract, clean, adapt, and send a source of data into a data Storage or Data Warehouse which then implement through tools Pentaho in order to be able to analyze data. The purpose of the Data Warehouse design was to be able to mitigate shop owners' efforts on decision-making, like deciding what products sell to stock stores so they can reduce the stores' built-up.&#x0D; &#x0D; Keywords: Data Warehouse, Storage, Pentaho.
LibGuides: Reading Project LIS6564.720S21: Reading Project, Part III

This guide will serve as my reading project for LIS6564.720S21. Each section of the reading project will be its own tab on this libguide.
PEMILIHAN DOSEN MUDA UNTUK MEMBANTU PEMINATAN MAHASISWA DALAM MATA KULIAH PILIHAN DENGAN MENGGUNAKAN SISTEM PENUNJANG KEPUTUSAN

There is a need for young lecturers to provide selective courses, which can help thestudents to prepare themselves in the workplace. The selection process in order to be ableto provide good quality used by Decision Support System.
Introduction to Quantum Algorithms

In 1981 Richard Feynman proposed the idea that a computer built of quantum mechanical elements obeying quantum mechanical laws can perform efficient simulations of quantum systems. Quantum computing works on the laws of quantum mechanical properties such as superposition, entanglement, and interference. Unlike in classical computing, in quantum computers a register can exist in all possible states at once due to its superposition properties. It is only when a quantum system is measured that we observe one of the possible states. Such a system is advantageous since, when measured, each state can appear with a certain probability encoded in the state prior to the measurement. Quantum computing works by increasing the probability of the desired state to a sufficiently high value so that the desired state can be obtained with high confidence with a minimal number of measurements. In this regard, quantum interference, which results from quantum superposition, plays a big role since it allows probability amplitudes corresponding to a given state to interfere and cancel each other. This property of quantum interference biases the measurement to a set of states that we desire as the outcome of quantum algorithms. Similarly, quantum entanglement allows one to create a strong correlation between quantum objects, especially qubits, to the advantage of quantum algorithms, as you will see throughout this chapter.
Yachay-Miray: web application for teaching learning of the multiplication of natural numbers

In this research work, we developed a web application, as an alternative tool for teachers for teaching and learning to their students, particularly for teaching multiplication in second grade students at the primary level. The problem with the teachers is that the students are distracted and lose interest and concentration when using traditional materials, but through playful play their attention and concentration is much better. Also, students are increasingly familiar with technologies since they were born as digital natives and they must take advantage of the knowledge and skills they have for their learning. Finally, the research results show that by using the tool, students significantly improve learning indicators in the area of mathematics. Additionally, in the face of the current global pandemic of covid-19, the proposed proposal will be very helpful for teachers and students in different educational centers.
THE INFLUENCE OF THE APPLICATION OF MIND MAPPING TECHNIQUE AND READING ATTITUDE TOWARDS THE FOURTH GRADE PUPILS’ READING ABILITY OF ELEMENTARY PALM KIDS SCHOOL PALEMBANG

The research was concerned with the inquiry on the influence of mind mapping and reading attitude on the fourth-grade pupils’ reading comprehension of Elementary School Palm Kids, Palembang. The problem of this study was to find out whether or not there was a significant effect of mind mapping on the fourth-grade pupils’ reading comprehension of Elementary School Palm Kids, Palembang. Mind mapping is a visual communication tool that uses visual symbols to express ideas and concepts, to convey meaning. Data collection employed pretest and posttest for experimental and control classes. Data analysis was undertaken by using paired sample t-test, independent sample t-test, and Two-way ANOVA. Findings showed that there was a significant effect of mind mapping and reading attitude on the fourth-grade pupils’ reading comprehension of Elementary School Palm Kids, Palembang. The conclusion suggests that the alternative hypothesis (Ha) was accepted while the null hypothesis (Ho) was rejected. It means that mind mapping was effective to improve pupils’ reading comprehension.