Reviewerly/exHarmony huggingface dataset:
An Analysis of Teachers' Perceptions of Middle School Process-Oriented Assessment: Focusing on the Best Practices of the Seoul Metropolitan Office of Education

Objectives This study sought to explore ways to substantiate process-oriented assessment so that it can be widely used in middle schools through in-depth interviews with teachers in charge of work and subjects while introducing and operating process-oriented assessment in middle schools. Methods To this end, among the student evaluation leading schools, which are policy research schools of the Seoul Metropolitan Office of Education, nine schools designated as excellent cases for three consecutive years from 2019 to 2021 were selected and operational case reports were analyzed. Four out of nine leading schools for student evaluation were selected, and in-depth interviews were conducted with teachers in charge of student evaluation at each school and teachers in charge of two subjects per school. Results Through in-depth interviews with leading schools in student evaluation by the Seoul Metropolitan Office of Education, (1) recognition of process-oriented assessment, (2) current status of operation level and system of process-oriented assessment, (3) current status of operation of process-oriented assessment, (4) student Opinions on this were identified in five aspects, including the limitations of performance in promoting process-oriented evaluation as a leading school in evaluation (5) internalization plan in the post-COVID-19 era. In addition, through the process-oriented assessment operation report, the operating grade/form/semester for each leading subject, the year of implementation, the evaluation area for each semester/subject, the strengths and weaknesses of the process-oriented assessment for each subject operated, difficulties in operating 100% performance evaluation (including mixed type) In this study, implications were drawn by diversifying the points required to vitalize process-oriented evaluation and process-oriented evaluation suitable for the nature and characteristics of the subject. Conclusions Firstly, as specified in the 2022 revised curriculum, process-oriented assessment should be continuously expanded to cultivate students' core competencies. Secondly, if the overall atmosphere of the school is created based on the clear guidelines of the Office of Education, teachers should enhance their evaluation expertise through process-oriented assessment-related training and teacher meetings (teacher learning community, subject council, etc.). Thirdly, in order to increase the rate of process-oriented assessment and continuously operate it, publicity to persuade students and parents is actively needed. Fourthly, institutional measures to reduce the workload of teachers should be prepared.
Optimal Portfolio Analysis with Solver Application in Wetland Plantation Subsector

Investments made by investors should submit to a Markowitz portfolio, where the goal is to get an optimal portfolio investment from several existing stocks. The goal of a portfolio is to maximize stock returns and minimize risk. The object of this study is plantation sub-sector companies listed on the IDX for the 2018-2022 period. The population is 19 companies in the plantation sub-sector, while the sampling method is 6 companies using purposive sampling. Through this research, investors are expected to be able to see which stock portfolio is the most optimal of several efficient portfolios in the agricultural sector. In addition, the plantation sub-sector supports government programs on food security for industry and consumers and increases non-oil and gas income, and increases the income of all relevant stakeholders, which in turn can increase the income and welfare of the Indonesian people.&#x0D;
Cybersecurity of enterprise tools will improve slowly

Significance However, securing these tools is an ongoing challenge, with several significant breaches leading to serious compromises of sensitive data and networks. The most recent major breach was of the MOVEit file transfer programme, which compromised many government agencies and corporates in June. Impacts Security requirements are tightening for tools used by government agencies and private firms, but their procurement process are outdated. Vendors will have to assume greater liability for vulnerabilities in their products and any related breaches. Firms will resist measures that impede staff collaboration and information-sharing, in turn reducing the efficacy of security controls.
Pengembangan Media Interaktif Tata Surya Pada Pembelajaran Untuk Meningkatkan Hasil Belajar IPA Kelas VI SDN 1 Gunung Terang

The purpose of this study was to determine the effectiveness of developing interactive media on solar system material in improving student learning outcomes. The method used is the Research and Development method (research and development). The stages of development in this study began with analyzing needs, designing, making interactive media, then applying it in learning and then testing student learning outcomes. Data analysis was carried out using descriptive percentages and one sample test for student completeness. This can be seen from the validation results of material experts who stated "very feasible", while media experts for the media aspect were declared "very feasible", and for the language aspect it was declared "very feasible". Whereas for the student response questionnaire it was declared "very interesting" and for the educator's response questionnaire it was stated "very interesting". The developed media can also improve student learning outcomes by obtaining a percentage of 92.30% with very good qualifications.
Using MYTT To Enhance Rural Primary School Pupils’ Learning on Simple Past Tense

Grammar is essential in the teaching and learning of the English language due to its core function for learners of this language in both their speech and writing.Nevertheless, some primary school learners in rural areas in Sarawak, Malaysia are challenged with the learning of tenses to the fullest due to inadequate language learning supports.Therefore, an innovation called MyTT was developed and it aimed to enhance primary school pupils' learning on simple past tense at the simple sentence level.Action research was conducted to explore the effectiveness and usability of this innovation.A total of 24 Primary 4 pupils regardless of gender from a rural area national primary school in Belaga District, Sarawak was selected as the sample (purposive sampling) in this action research.They were given two sets of worksheets, each at pre-test and post-test, and a set of questionnaires at post-test.The results illuminated that there were increments in pupils' usage of verbs in sentences, correctly and appropriately.Based on the survey conducted on the pupils, the data implied that most pupils gave a positive perception towards MyTT in enhancing their usage of verbs in sentences.MyTT template will benefit English language teachers in their teaching of simple past tense at simple sentence level to their learners.
ANALISIS KUARTIL, DESIL DAN PERSENTIL PADA UKURAN PANJANG UDANG FLOWER (Penaeus Semisulcatus) DI PERAIRAN SAMBOJA KABUPATEN KUTAI KARTANEGARA

Green Tiger Prawn is one of the Prawn from the Penaeidea family and is one the catches caught in the waters of Samboja. This research conducted in October-December 2021 in the waters of Samboja, Kutai Kartanegara catching prawn at night using trawls. The sample used was 129 green tiger prawn with 90 females and 39 males. This study aims to determine the location of quartiles, deciles and persentiles in prawn data assisted by microsoft Excel software and presented in the form of histogram. The results of this study found that the location of the Q1 quartile was 25%, Q2 was 50% and Q3 was 75%. Decile D1 is 10%, D2 is 20% and D3 is 30%. Percentile P25 is 25%, P50 is 50%, dan P90 is 90%.
Fuzzy Min-Max Сlassifier: Review

Online adaptation and interpretability have become one of the important requirements for machine learning models. Popular models such as artificial neural networks cannot fully implement them. Fuzzy classifiers of the Min-Max type are interpretable, thanks to the underlying fuzzy logic theory, and adaptable with the advent of new information. This article presents a comprehensive literature review on machine learning models based on fuzzy Min-Max classifiers. The architecture of the classifier and the principle of its operation are presented. A review of the modifications of the classifier is carried out and their effectiveness is evaluated. Applications of the classifier and its modifications in solving real problems are indicated. In conclusion, statements are drawn about the work of the classifier and the problems that have remained unresolved.
Permainan Ular Tangga: Pengembangan Media dalam Pembelajaran Tematik Siswa Kelas V SD/MI

This study aims to develop the game of snakes and ladders as a medium for thematic learning, as well as to find out its feasibility and the responses of teachers and students at SD Negeri 1 Campang Raya. Researchers use the type of research that is included in the type of research and development or also called Research and Development (R&amp;D). This research leads to the ADDIE development model, which uses 5 steps in research, namely 1) Analysis or analysis 2) Design or design 3) Development or development 4) Implementation or implementation 5) Evaluation or evaluation. The data collection technique is using questionnaires, interviews, observations, and documentation to determine the feasibility of the snake and ladder game, and the responses of students and educators. In this study, the subjects were students of class VB at SDN 1 Campang Raya Bandar Lampung, totaling 22 students. The results of the research developed in the form of a snake and ladder game in thematic learning obtained a percentage level of material expert eligibility 86% and a media expert eligibility percentage rate of 88%, thus meeting the "very feasible" criteria. Then the percentage level of student responses to the media in small-scale trials obtained a percentage rate of 94% and in large-scale trials obtained a percentage rate of 95% thus fulfilling the "very interesting" criteria. And the teacher's response obtained a percentage level of 97% with the criteria of "very interesting". The author can conclude that the game of snakes and ladders is a suitable learning medium to be used as a learning medium, which is especially used in thematic learning for class V, theme 8, sub-theme 3.
Comparative Analysis of National Classification Systems: Cases of Korean Decimal Classification (KDC) and Nippon Decimal Classification (NDC)

The Korean Decimal Classification (KDC) and Nippon Decimal Classification (NDC) are national classification systems of Korea and Japan. They have been used widely in many libraries of each country and maintained successfully by each national library associations of Korean Library Association (KLA) and Japan Library Association (JLA). This study compares the general characteristics of these two national classification systems using their latest editions of KDC 6 and NDC 10. After reviewing the former research, their origins, general history and development, and usages were briefly compared. Various aspects including classification by discipline, not by subjects, decimal expansion of the classes using pure notations of Arabic, hierarchical structure, and mnemonics quality are checked for both systems. Results of the comparative analyses of major auxiliary tables, main classes and 100 divisions of schedules of two systems are suggested one by one with special regards to Dewey Decimal Classification (DDC). The analyses focus on the differences between both systems as well as the characteristics which reflect the local situations of both countries. It suggests some ideas for future developments and research based on the results of their strengths and weaknesses.
Penataan Taman Baca Grio Mukti Untuk Meningkatkan Literasi Membaca di Desa Pringombo Kcamatan Tempuran

Literacy as one of the main components in the development of human resources. However, Indonesian people have very low literacy. The results of the study show that the number of village reading parks is still very low. In addition, the reading facilities and infrastructure provided in the village reading park are also still limited. This community service activity aims to improve the management of the reading garden in Pringombo Village as an effort to improve literacy culture in the community. The method used is participation which involves the active participation of village government officials, the academic community, and the community. The stages of service activities carried out are observing, discussing, implementing, and socializing. The results of the village reading garden arrangement activities have been carried out in accordance with the plans and targets set, such as adding to the book collection, conducting an inventory, classification, and administration of the village reading park. Thus, the existence of the village reading park is expected to increase the reading literacy of the village community.
User identification based on short text using recurrent deep learning

&lt;p&gt;Technological development is a revolutionary process by this time, it is&lt;br /&gt;mainly depending on electronic applications in our daily routines like&lt;br /&gt;(business management, banking, financial transfers, health, and other essential&lt;br /&gt;traits of life). Identification or approving identity is one of the complicated&lt;br /&gt;issues within online electronic applications. Person’s writing style can be&lt;br /&gt;employed as an identifying biological characteristic in order to recognize the&lt;br /&gt;identity. This paper presents a new way for identifying a person in a social&lt;br /&gt;media group using comments and based on the Deep Neural Network. The&lt;br /&gt;text samples are short text comments collected from Telegram group in Arabic&lt;br /&gt;language (Iraqi dialect). The proposed model is able to extract the person's&lt;br /&gt;writing style features in group comments based on pre-saved dataset. The&lt;br /&gt;analysis of this information and features forms the identification decision.&lt;br /&gt;This model exhibits a range of prolific and favorable results, the accuracy that&lt;br /&gt;comes with the proposed system reach to 92.88% (+/- 0.16%).&lt;/p&gt;
Three questions with… Rukhsana!

Our lab is growing! In our Three Questions series, we’re profiling each of our members and the amazing work they’re doing. Today’s post features Rukhsana Ahmed, an Associate Professor and Department Chair in the Department of Communication at the University at Albany, State University of New York. In this interview, she tells us about her work as a research associate at the ScholCommLab and offers words of wisdom for finishing what you start. Rukhsana practising COVID-19 public...
Three questions with… Asura!

Our lab is growing! In our Three Questions series, we’re profiling each of our members and the amazing work they’re doing. Today’s post features Asura Enkhbayar, a PhD student and data scientist at the ScholCommLab. In this post, he tells us about his work at the intersection of bibliometrics, social media research, and philosophy, shares what it’s like to bridge theory and practice, and offers words of advice for staying sane in academia. Asura makes a new friend at csv,conf,4...
AN EMPIRICAL STUDY ON NEEDS ANALYSIS OF BUSINESS ENGLISH COURSE

This study investigated the English language needs for business English course for the student of the Islamic banking department. It is important to conduct the research to decide the appropriate materials that suitable for the students' future career that is a bank employee. The informants included the managerial and staff-level employees in banking sectors, the vice dean for Academic of Islamic Economic and Business Faculty of IAIN Ponorogo, the head of Islamic banking department of IAIN Ponorogo, Business English lecturer, and some students of business English course. This research employs a qualitative approach. Through interviews and questionnaires, the finding of the research revealed that all of the informants suggested that the material should be beneficial for students’ future careers as bank employees. To make the teaching and learning process more effective, lecturers must pay attention not only to the selection of the right material, but also related to students’ learning preference.
Global-local attention with triplet loss and label smoothed crossentropy for person re-identification

Person re-identification (Person Re-ID) is a research direction on tracking and identifying people in surveillance camera systems with non-overlapping camera perspectives. Despite much research on this topic, there are still some practical problems that Person Re-ID has not yet solved, in reality, human objects can easily be obscured by obstructions such as other people, trees, luggage, umbrellas, signs, cars, motorbikes. In this paper, we propose a multibranch deep learning network architecture. In which one branch is for the representation of global features and two branches are for the representation of local features. Dividing the input image into small parts and changing the number of parts between the two branches helps the model to represent the features better. In addition, we add an attention module to the ResNet50 backbone that enhances important human characteristics and eliminates irrelevant information. To improve robustness, the model is trained by combining triplet loss and label smoothing cross-entropy loss (LSCE). Experiments are carried out on datasets Market1501, and duke multi-target multi-camera (DukeMTMC) datasets, our method achieved 96.04% rank-1, 88,11% mean average precision (mAP) on the Market1501 dataset, and 88.78% rank-1, 78,6% mAP on the DukeMTMC dataset. This method achieves performance better than some state-of-the-art methods.
THE INFLUENCE OF PEER EDITING ONLINE TOWARDS THE STUDENTS’ WRITING SKILL

Lots of students find the difficulties when they have to put their thoughts into writing. Moreover, when they need to do the proofreading and editing their own writing, this inevitably makes writing exceptionally tiring and distressing. In this study, researchers focused on a series of writing processes, especially editing and proofreading activities. The objective of this research was to find out the influence of Peer Editing online technique towards the students’ research proposal writing skill and to know and to describe whether the effectiveness of the students’ research proposal writing skill who learn through peer editing online is higher than those who learn through conventional technique. The research was conducted by using a quasi-experimental design with pretest and post-test. The population of this research are the students at the fifth semester of English education major at STKIP PGRI Bandar Lampung that consisted of 63 students in 2 classes. The sample of this research were two classes, they were as control class and experimental class. Control class was taught by Individual writing while experimental class was taught by peer editing online technique. In getting the data, the researchers used writing test. The result showed that based on the calculation, the researchers got that = 5.41 and = 2.00 and 2.66. It means that Ho is rejected and Ha is accepted. From the result above, the researchers state that there is an improvement and a significant influence of Peer editing online technique towards students’ research proposal writing skill.
Images Classification Integrating Transformer with Convolutional Neural Network

Convolutional neural networks (CNN) are one of the most widely used deep learning methods in computer vision, which can effectively extract local spatial information from images, but lack global understanding and dependency modelling of image features. As a result, contextual information cannot be fully utilized by the network. For example, on coordinate modelling tasks (such as object detection, image generation, etc.), CNN may not be able to accurately locate or reconstruct the position and shape of objects. In contrast to traditional CNN models such as ResNet, Transformers rely on their global attention mechanism to capture long-distance dependencies between patches. The thesis presents an enhanced lightweight method which integrates Transformer with five convolutional neural layers. Model based on CNN and Transformer is tested on the two benchmark datasets MNIST and CIFAR-10. After a few epochs, the model is convergent and reaches high accuracy of 99.34% in MNIST and 92.04% in CIFAR-10. This model outperforms the single CNN and some state-of-the-art models in classifying both datasets, especially in distinguishing similar images like ‘6’ and ‘9’, ‘bird’ and ‘plane’. These results indicate the model's good robustness and generality.
LECTURERS' PERCEPTIONS OF TEACHING PRACTICES AND VOCATIONAL DEVELOPMENT IN THE LANGUAGE DEPARTMENT

Abstract: The Vocational Program is indeed a pre-educational program that aims to prepare students who can create competence and abilities in their industries, who are ready to work, and can compete globally. Differences in teaching Lecturers' perceptions still occur, resulting in the learning and teaching process being treated differently, as well as the influence of assessment standards on students with varying standards, particularly in the production of students' final projects. This study intends to determine lecturers' perceptions of teaching methods and vocational development in the language department, which will be useful in equating useful perceptions in output standards and assessments of students’ final project in Bengkalis Language Department- State Polytechnic of Bengkalis. This study was done during a period of online learning and a global pandemic quarantine time
Changes In English Language Education And Strategies For Coping Against Chat GPT's Effects

The intelligent chatbot model known as Chat GPT has made a significant impact on English language education, and since its introduction, both students' and teachers' behavior has changed. At the same time, it has brought up issues and queries that have never before been present in modern English education. This paper analyzes the changes brought about by Chat GPT to English language education and the challenges it caused from the perspectives of Chinese university teachers and students, respectively. It then proposes countermeasures that can be applied in the face of the impact of Chat GPT from the perspective of English language education, in anticipation of promoting the proper development of student-teacher relationships and providing reference for the digital development of English language education.
Stefanie Haustein wins uOttawa Library Open Scholarship Award

“I am convinced that openness and transparency make research outputs and outcomes better,” says Stefanie Haustein when asked what motivates her to practice open scholarship. “Knowledge produced by the scholarly community should be open to all, not hidden behind paywalls.” The ScholCommLab co-director has been practising open research just after finishing her PhD, when she began posting her journal articles on arXiv and publishing in gold OA journals such as PLOS ONE. Since then, she’s...
Blogging your research: Tips for getting started

This post is a collaboration between ScholCommLab member Alice Fleerackers and SFU Knowledge Mobilization Officer Lupin Battersby. It was first published on November 18, 2020 at SFU Library’s Radical Access blog and has been reposted here with permission. Curious about research blogging, but not sure where to start? In this post, we answer common questions about why, when, and where to blog about research. Inspired by a recent SFU Knowledge Mobilization Hub webinar on research...