Reviewerly/exHarmony huggingface dataset:
ANALISIS LITERASI DIGITAL CALON GURU SD DALAM PEMBELAJARAN BERBASIS VIRTUAL CLASSROOM

ANALYSIS OF DIGITAL LITERACY FOR ELEMENTARY SCHOOL TEACHER CANDIDATES IN VIRTUAL CLASSROOM BASED LEARNING Abstract .  Self-directed learning is a process in which individuals learn without the help of others supported by digital and cellular technology, technology applications are developed to take advantage of the concept of independent learning. By implementing online learning strategies, digital literacy skills are absolutely needed by students. This is because it is impossible to implement online learning without being supported by high digital literacy. This study aims to describe the digital literacy of elementary school teacher education students in virtual classroom-based learning. The method used is descriptive qualitative research with a sample of 74 PGSD students. The results showed that most students had basic internet skills, PGSD students were able to find and retrieve information from the internet, and use it effectively.
Using Inside-Outside Circle Method to Enhance Students’ Speaking Skill

This study aims to determine the application of the inside-outside method to enhance students' speaking skills. The design of the research is a true experimental study with Pre-test-Posttest Group Design. Learning outcome data are obtained through pretest and posttest activities. The samples are 80 students randomly taken by adjusting to the condition and aim of the research. There is a significant difference from the results of the experimental class posttest and control class this is evidenced by the Fo value. Fo value is 5.225 and Sig is 0.025 <0.05. It means that there is a difference in an interaction effect of using inside-outside circle method to enhance students’ speaking skill.
Пілотне дослідження особливостей пізнавальних психічних процесів і прогностичних здібностей дітей молодшого шкільного віку

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
PENGEMBANGAN MEDIA PEMBELAJARAN CD INTERAKTIF BERBASIS ADOBE DIRECTOR PADA MATA PELAJARAN PERAKITAN KOMPUTER

Abstract -The use of interactive CD-based learning adobe director as the introduction of additional rarely used. Because  The teachers are accustomed to using books in the learning process in the classroom. the authors conducted a study to see whether the media for computer-based learning to helps students SMK N 2 Pariaman X class multimedia in understanding Multimedia subjects. This research aims to develop an interactive CD as a medium of learning in Computer Assembling subjects in class X SMK N 2 Pariaman. Results of the assessment of the overall three-validator of test vote on CD-Interactive amounted to 88.67%, so the rate can be interpreted validity is valid in use. Overall assessment of the CD-Interactive practicality as a learning resource for 86.08%, so the rate can be interpreted  is Very Practical in use. As well as assessing the effectiveness of the CD-Interactive as a learning resource for 85.25%, the rate of effectiveness can be interpreted Highly Effective in use .
Training of artificial neuronal networks with nonlinear optimization techniques

Machine learning is a field that has been the object of study of many researchers around the globe during the last decades. Very often to solve machine learning challenges like classification problems for example, one needs to train an artificial neural network. To train this network a certain loss function has to be minimized. There is a ubiquitous approach to achieve this which consists of using variants of the stochastic gradient descent combined with the backpropagation algorithm. In our work, we aimed at testing a rather non-conventional scheme consisting of making use of the solvers a software called AMPL offers.
Development of a technologically advanced IT system enabling automated processing of information collected in forensic biometric databases in order to combat crime or identify people

Forensic biometric databases are an out of court tool to support the work of law enforcement agencies. They are used to detect the perpetrators of crimes, indicate the connections of a person with previously committed crimes, and allow the identification of living persons and corpses with unknown identity or individuals trying to hide their identity. In police practice, among the methods of identification of living persons and corpses, fingerprint and DNA tests are mainly used. These two forensic areas are supported by such tools such as AFIS (Automatic Fingerprint Identification System) and CODIS (Combined DNA Index System). These are the main police systems operating within two datasets, namely the dactyloscopic dataset and the DNA dataset. The systems are operating in two different locations of the Central Forensic Laboratory of the Police (CFLP). This results in the processing of individual biometric data independently of each other at different times and locations (Fingerprint Examination Department and Biology Department). Currently, there is no comprehensive approach to the collection and processing of biometric data such as fingerprints, DNA or facial images. To improve the exchange of information between police authorities, in July 2019, the Central Forensic Laboratory of the Police submitted a project application, and on 25 November 2019 signed with the National Center for Research and Development the grant agreement no. DOB – BIO10/09/01/2019 for the implementation and financing of the project in the area of state defense and security (competition no. 10/2019) entitled “Development of a technologically advanced information system enabling automated processing of information collected in forensic biometric databases for the purpose of combating crime or identifying people – acronym “BIOMETRIA”.
ISSUES OF SOCIAL CAPITAL IN DEVELOPING COLLABORATION OF INFORMATION PROFESSIONAL ORGANIZATIONS IN INDONESIA

Abstract This research identifies the issue of social capital in building cooperation within professional information organizations in Indonesia. Social capital is the basic capital for building cooperation between organizations. Using a quantitative approach and survey method, data collection was carried out in 2019. There were 80 respondents from various professional information organizations. The findings show that members of the organization apply the value of mutual trust, togetherness, and mutual help between members in each organization, as well as applying network elements that tend to be done more by managers than by members. They network with the media, government, and donor agencies or philanthropy based on the interests of their respective organizations. In addition, another cause is the loosening of ties between leaders and members. As a result, some of them make use of their identities as members of the organization for their own benefit. Collaboration between information professional organizations can be established, if there is a personal closeness to one of its members or leaders. The conclusion shows that the issue of social capital in building cooperation between professional information organizations in Indonesia is that social capital has not been created to its full potential. Suggestions proposed are to provide awareness to all members that professional information organizations basically have the same vision and goals, and improve the organization's function to protect and prosper the members.
Robust frame work to enhance navigation ,surveillance,tele-presence and interactivity

This paper discloses a robust framework for enhancing navigation, surveillance, tele-presence and interactivity via media streams. A primary media stream acquisition unit is disposed to capture an input media stream (for example video stream) representing the environment and transmit captured media stream live or archived to a transform unit providing means of transforming captured media stream to a desired format and applying appropriate distortion correction measures such that said media stream becomes more suitable for further processing. The transformed media stream is fed to an analysis unit implementing means of analyzing transformed media stream for the detection and tracking of objects or other desired results. Adaptive refinement of the accuracy of analysis results permit improvement in the performance of the analysis unit with increasing use. A rendering unit displays views of the primary media stream and an optional secondary media stream captured by an optional secondary media acquisition unit under the control of input from a control unit and/or overlay unit. The overlay unit provides means of overlaying detected/tracked objects of interest on a map of the environment represented by the media stream and means of using events occurring at or near the locations of said overlaid objects on said map to control the view of the environment presented to the user. View control via events affecting overlaid objects could be achieved through the simultaneous control of the transformed view of the primary media stream and of a secondary media acquisition unit disposed to capture a higher resolution view of the indicated region of the environment. A control unit receives user input that is used to determine what combinations of views to display from the primary and/or secondary media streams. Control signals from the control unit could also be used to control other units in the system including the transform, analysis and overlay units.
Minimal distances for certain quantum product codes and tensor products of chain complexes

We use a map to quantum error-correcting codes and a subspace projection to get lower bounds for minimal homological distances in a tensor product of two chain complexes of vector spaces over a finite field. Homology groups of such a complex are described by the K\unneth theorem. We give an explicit expression for the distances when one of the complexes is a linear map between two spaces. The codes in the construction, subsystem product codes and their gauge-fixed variants, generalize several known families of quantum error-correcting codes.
Application of the Simple Additive Weighting (SAW) Method in Determining The Best Customers for Home Furniture

To face this competition, there are many ways that Home Furniture does to maintain its customers, including by analyzing these customers and choosing the best customers. The best customers will be the top priority for Home Furniture, such as giving rewards and establishing cooperation with customers. The system that has been running so far in determining the best customer at Home Furniture is still using a random lottery for its customers, where the system is not accurate nor on target. Therefore, we need a Decision Support System to analyze and select the best customers based on predetermined criteria, so that the decisions given can be right on target. The method used in this decision support system uses the SAW (Simple Addictive Waiting) method in the process of selecting the best customer at Home Furniture.
Hot Air Oven

It involves sterilization by dry heat. The instrument is composed of double-walled chamber of stainless steel or aluminum separated from the outer insulated layer through glass wool filling. Heating is achieved by electric coils filleted inside the double wall.
THE IMPLEMENTATION OF KNOW-WANT-LEARN (K-W-L) STRATEGY IN TEACHING READING AT ELEVENTH GRADE OF SMA NEGERI 3 SINGARAJA

This study aimed at describing the implementation of K-W-L (Know-Want-Learn) strategy used by one of the English teachers in SMA Negeri 3, Singaraja. In this study, the subjects of the study were the students of SMA Negeri 3 Singaraja especially the eleventh grade and an English teacher. The present study employed qualitative design. The methods of data collection were classroom observation and questionnaire. The findings showed that there were 3 stages of the implementation of K-W-L (Know-Want-Learn) strategy namely pre-teaching, whilst-teaching and post-teaching. The result of the questionnaire, it means about the brilliant alternative strategy used by teacher, because KWL (Know-Want-Learn) developed some ideas about the text before reading the whole text and focus to find the important points of the text. Before the student starts to read the text, they need to use their prior knowledge and continue to set their want or interest of the text.
A Report from the International Scientific Conference DLCC2019 in Poland, October 14th and 15th, 2019

The 11th edition of the International Scientific Conference “Theoretical and Practical Aspects of Distance learning” DLCC2019.
Deep Dive Session: Chatbots

This is a session from the 2020 annual NASCIO conference. Annual Conference Deep Dive session on chatbot use in state government.
Definitions, Overview, Goals, and Principles of Cognitive Processing

Chapter 1 presents the objectives of the book, which blends a traditional monograph with topics of contemporary interest and an analysis of attitude and behavior change in real and virtual contexts. Definitions and a overview of the theory are presented.
SPAMAST Virtual Campus Tour Simulator (SVCTS)

The project entitled SPAMAST Virtual Campus Simulator. The data gathered throughout the testing session was based from the Functionality, Reliability, Accuracy and Usability of the simulator. According to the evaluation submitted by the Faculties and Staffs, Students, and Guest of the SPAMAST Digos Campus on April 2019 with a total of fifty (50) Respondents, it was rated that functionality of the simulator is neutral. The method used by the developer was data and process modeling as process models for the simulator. It also uses Google SketchUp 2018 as a bone structure of the 3D models and Unity 2018.1.0f2 (64-bit) as a bone structure of the whole simulator. Google SketchUp 2018 was used for creating the 3D model of the building infrastructure of the school campus and Unity 2018.1.0f2 (64-bit) used for the creation of the features of the simulator. However, results of the study revealed that the functionality of the SPAMAST Virtual Campus Tour Simulator was functional in its features and the appearance was acceptable. The Functionality, Reliability, Accuracy and Usability of the simulator have a mean rating of 3.26 (given by the evaluators). This rating has qualitative description as neutral which means the simulator was functional in its features and the appearance was acceptable. The highly recommendation of the project are to finish the voice over direction feature, enhance graphic design, create a third person view 3D avatar, merge of all 3D building infrastructure in one project, create an android format of the project and create new 3D building infrastructure.
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking

Vehicle re-identification is a challenging task due to intra-class variability and inter-class similarity across non-overlapping cameras. To tackle these problems, recently proposed methods require additional annotation to extract more features for false positive image exclusion. In this paper, we propose a model powered by adaptive attention modules that requires fewer label annotations but still out-performs the previous models. We also include a re-ranking method that takes account of the importance of metadata feature embeddings in our paper. The proposed method is evaluated on CVPR AI City Challenge 2020 dataset and achieves mAP of 37.25% in Track 2.
EFL STUDENTS ATTITUDES TOWARDS ENGLISH ACADEMIC WRITING

Writing has become the most incredible and difficult skills for EFL learners to master relating to generate and organize ideas. This research tried to investigate the importance of writing skill in English Writing subject specifically about students’ responses toward writing difficulties. Thus, the objectives of the study are describing the EFL students’ attitude toward writing, discovering the EFL students’ view of writing difficulties and discovering students’ effort to improve their writing skill. This is a qualitative research conducted through analysis of a questionnaire, interview and students’ written compositions. The survey involved 25 EFL (English as a foreign language) students from the English department of UIN Ar-Raniry who attended Writing class. Data were gathered through questionnaires and one-to-one semi-structured interviews. The results from the questionnaire indicated that the students who have moderate attitude to writing, view writing as difficult, and stressful. Meanwhile, those who have high attitude, mostly suppose writing as interesting and challenging. The result shows that the students encountered numerous difficulties while composing writing: eﬀects of L1 transfer lack of reading, motivation, and practice. Most of the students ﬁnd it very challenging to obtain suﬃcient and relevant source information, paraphrase or summarize information, and they are not accustomed to use an English academic writing style. The finding of interview also reveals that several efforts that the students do to improve their writing skill, among others are practice writing with their friend, reading a lot for knowledge and ideas, and composing journal writing. This finding implies that the students should be helped to acquire skills that will enable them to express their ideas clearly and effectively in writing.
Communication, connection & collaboration: social media @ UP Library during the COVID pandemic

Presentation presented virtually at the Social Media and Library Marketing webinar hosted by LIASA HELIG and MAIG interest groups.
INTELLIGENCE AS A PRODUCT MARKETING STRATEGY IN THE INTERNATIONAL MARKET

One principal use of language is to communicate meaning, but it is also to establish and maintain relationship. There are the different aims in speaking skill and the implementation in activity, for casual conversation and discussion. The aim of this study is to know the influence of Intelligence in using English with the marketing strategy of a product in the International Market. The design of this study is correlation design since it used statistical measurement for the data analysis to describe the relationship between two variables and is analyzed by using Pearson-Product Moment formula. There are 62 purposive sampling from 4 classes and using three instruments: test of IQ, documentation, and assessment. The result of this study is the influence of Intelligence in using English and the marketing strategy of a product in the International Market is dominant with coefficient correlation 0.220. So, the null hypothesis (Ho) is rejected and the alternative hypothesis (Hi) is accepted.
The use of Brainstorming in learning writing

One of the learning models that can be implemented in increasing students ability in English is to use Brainstorming. Brainstorming is a learning model that focuses on exchanging opinions with students in the learning process. Brainstorming provides opportunities for students to express their opinions and also create alternative solutions to overcome their writing skills in learning English. The purpose of this study, by using brainstorming can improve students' thinking abilities in expressing opinions in English. The method used for this research uses a qualitative / interpretative paradigm. And the learning process becomes more active after using Brainstorming. So, it can be argued that the use of brainstorming can improve students 'ability to regulate English and also can train students' ability to express opinions. one learning model that can be applied is to use problem based learning (pbl), focused on providing solutions to students' problems. In the use of problem based learning (PBL), there are several ways that can be done, one of them is by brainstorming. brainstorm makes the class more active because it is based on discussion. The participants of this research are the students of class 11, with 2 sessions in the span of one hour of teaching and learning. the result of this research is to improve students' ability in mastering aspects of English especially writing.
DevSecOps PRACTICES FOR AN AGILE AND SECURE IT SERVICE MANAGEMENT

Without appropriate consideration of security best practices, the continuous delivery of IT services facilitated by DevOps is risky. On the other hand, SecOps offers the possibility to reduce security risks if security is integrated into the continuous delivery pipeline according to best practices. The purpose of this paper is to investigate how DevSecOps culture can be applied in IT service management. We interviewed representatives of five Middle East and North Africa MENA organizations that are adopting SecOps in their ITSM daily activities. We note that the majority of respondents expressed the potential of common DevSecOps such as automated monitoring to improve ITSM. The i¬Ândings of this study implies that organizations need a framework for understanding the DevSecops culture before they can adopt these practices in their ITSM. Likewise, this study explores the main DevSecOps practices relevant to efficient ITSM.
POTENTIALS AND PITFALLS OF THE IMPLEMENTATION OF HYBRID LEARNING IN STRUCTURE CLASS IN RELATION TO THE STUDENTS’ DIGITAL LITERACY AND LEARNING ACHIEVEMENT

The purpose of this study is to describe the potential and the pitfalls of the implementation of hybrid learning in structure class. The sampling technique used was purposive sampling since there was only one class who experienced hybrid learning in grammar class. The samples were 20 students of class D from the third semester. The research instrument was a questionnaire and also Focus Group Interview. The research method used is mixed method. The quantitative data is taken from experimental research design and is processed by using SPSS (Statistical Package for Social Science) software version 25.0. the qualitative data is taken from the questionnaire and focus group interview. The results showed the application of hybrid learning affected positively to the students’ score in structure class since there is significant increase of their posttest score. Based on the qualitative data, it is shown that the application of hybrid learning model has certain aspects that affect their improvement in structure class. Yet, based on the FGI, the researcher also found out some disadvantages of pitfalls of the implementation of hybrid learning.
Соціокультурні особливості становлення дослідницького університету: історичний аспект

International scientific and practical conference «Pedagogy and Psychology in the Modern World: the art of teaching and learning» : conference proceedings, February 26–27, 2021. Riga, Latvia : «Baltija Publishing». 444 pages.
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

Recent work has shown that pre-trained language models such as BERT improve robustness to spurious correlations in the dataset. Intrigued by these results, we find that the key to their success is generalization from a small amount of counterexamples where the spurious correlations do not hold. When such minority examples are scarce, pre-trained models perform as poorly as models trained from scratch. In the case of extreme minority, we propose to use multi-task learning (MTL) to improve generalization. Our experiments on natural language inference and paraphrase identification show that MTL with the right auxiliary tasks significantly improves performance on challenging examples without hurting the in-distribution performance. Further, we show that the gain from MTL mainly comes from improved generalization from the minority examples. Our results highlight the importance of data diversity for overcoming spurious correlations.