Reviewerly/exHarmony huggingface dataset:
THE EFFECTS OF TED TALK VIDEOS ON EFL SPEAKING PERFORMANCE

Abstract: This study aims to describe the effect of TED Talk videos on speaking performance and to reveal the students’ perceptions toward the use of TED Talk in EFL speaking class. This study employed a quasi-experimental design with seventy-two secondary school students in Indonesia. The data were collected through tests and closed-ended questionnaires. The result of this research showed that after the treatment, there was a different speaking performance between students taught using TED Talk video and those without using TED Talk video. It was found that the mean of post-test in the experimental group was 75.17; meanwhile, the mean of post-test in the control group was 72.94. The result of the t-test analysis showed that the Sig. (2-tailed) value was lower than 0.05 (0.032&lt;0.05). The questionnaire results revealed that students had good perceptions toward the use of TED Talk videos in learning speaking. It can be concluded that there was a significant effect
Efficient Memory Handling Model with Consistent Video Frame Duplication Removal with Precise Compression

Massive amounts of videos are being made and shared online as mobile devices and social networks gain popularity in recent years.The enormous expansion in the amount of video data created has made storing and quickly searching it all quite difficult.Because many movies are duplicates or near-duplicates in practice, recognizing these copies has become a critical strategy for decreasing the amount of storage with duplicate removal models.Video compression is an important part of Internet video delivery for efficient memory management.Deep learning's growth has sparked a revival in video compression, with many frameworks offering comparable or even higher performance than traditional video codecs presented in recent years.Despite the advancement in rate-distortion, these models are substantially slower and need more memory, limiting their practical application.The exponentially increasing volume of video data created has presented enormous problems to video deduplication technologies.People are interested in uploading and sharing information in photo and video formats in this digital era.This expansion has resulted in increased storage capacity, which contains a large amount of redundant multimedia material.Many deduplication algorithms are being rapidly developed nowadays, although they are often slow and have rather imprecise identification processes.Deduplication is one of the emerging ways for coping with redundant data stored in several locations.When more than a copy of the same data is detected, a single copy is preserved, and the other data is replaced by pointers pointing to the preserved copy and also duplicate frames will be removed by segmenting the video for memory efficiency.Storage can be utilised to effectively store a large amount of other data.While there are many other types of deduplication algorithms, picture and video deduplication strategies and implementations receive a lot of attention since they are difficult to implement.In this research a Consistent Video Frame Duplication Removal with Precise Compression (CVFDR-PC) model for efficient memory handling is proposed.This research provides a versatile and efficient video frame deduplication framework with compression model that effectively handles the memory.The proposed model when contrasted with the existing methods exhibit better performance levels.
ConvNet Based Malicious URL Identification for Safer Use

A malicious URL or website is a type of threat that can affect the users' cybersecurity.It can host unsolicited content and lure users into clicking on links and downloading malware.It can also lead to the theft of private information and monetary losses.People must take the necessary steps to prevent these types of threats from happening promptly.Unfortunately, denylists are not capable of identifying new malicious content.Instead, they are mainly used to identify existing threats.Due to the increasing number of studies being conducted on the use of machine learning techniques, the general capabilities of these tools have been improved.The rise of the internet has made it an essential component of our lives.It allows us to exchange information and knowledge in a timelier manner.Unfortunately, identity fraud and identity theft are two of the most common forms of cybercrime.In both cases, the attackers' goal is to collect the users' personal data so they can commit fraud or deceit for financial gain.Phishing, drive-by exploits, and spam are some types of content commonly featured in malicious URLs.They are also designed to trick users into clicking on links and downloading malware.The vast majority of these scams are carried out through email, and they result in losses of billions of dollars.Systems that are capable of quickly identifying and preventing these types of crimes need to be developed, as well as have the ability to spot new malicious content.Blacklist methods have traditionally been used to detect these types of crimes.On the other hand, blacklists cannot identify newly produced harmful content.Due to the increasing number of studies being conducted on machine learning techniques to improve the detection of harmful web pages, the focus on this field has increased.This article presents an algorithm that can analyze and predict the likelihood of a link being good or bad.It is compared with other standard methods to analyze the performance of this method.
WEB APPLICATION WITH ANALYSIS AND VISUALIZATION OF CRYPTOCURRENCY METRICS WITH FUTURE PRICE PREDICTION USING NEURAL NETWORKS

The popularity of virtual currencies is growing every day. And accordingly, the number of people who want to become investors in cryptocurrency and make a profit is growing. However, any decision should be based on knowledge and calculations because there is a significant risk of losing everything invested. Therefore, there is a demand for a program that can perform all complex operations for investors. A web application that analyzes all the necessary metrics provides visualization, and specific recommendations can greatly simplify decision-making. The analysis, presented in graphs, charts, and histograms, will be understandable even to a non-specialist. And, of course, one of the main advantages will be a convenient interface that will make it easier to use.Moreover, a feature of this program will be the accessibility of content for people with disabilities. At the moment, this approach is a trend, and not all applications support it, but in the future, this trend will become a requirement, not an additional plus. Such functionality will significantly expand the target audience and open the world of investments to people with certain health defects. Such an application can save not only money but also time. After all, making decisions quickly in the investment market is essential. However, fast does not mean reckless. Since the main goal is the stable earning of money, not short-term profit, the program will also show you the possible future price, which has been predicted using a recurrent neural network. And based on all the calculations and with a known expected price, it will provide recommendations for purchasing the following currency. Of course, investment always means risk, but a decision based on calculations and analysis has a higher percentage of success. Therefore, a program that significantly reduces the risk will gain popularity among all people who invest their money in virtual currencies or want to start doing it.
AN ANALYSIS OF STUDENTS’ ERRORS IN SPEAKING PERFORMANCE

English is not the new subject for students, but it still needs a better preparation in order to make the teaching learning process to be conducted sucsessfully and to reach the quality target. There are many conditions to create a good bilingual Teaching program, the requirements which is in line such as Teacher as a model for the students, their knowledge and ability in implementing the subject in the class. In this reaserch the writer found that the problems encountered by the teachers and students in the bilingual class were: Students found difficulties in developing their four skills of English, most of non English teacher got difficulties in teaching materials using English as the medium of instruction. Based on the experiences above, the writer tried to present illustration of the situation, the problem and how to solve it. To improve the bilingual teaching, Based on the result of the research, the writer suggested to encourage teachers of bilingual class to attend the seminar of English teaching by any institution suitable for their subjects and the teacher should vary their teaching performances in presenting the materials to the students so that the subjects are more understandable by the students. The teacher should use various English textbooks which are suitable with their major to supplement the English textbooks that the students had already got.
The pedagogical dimension of the physical learning environment in the university system

Nowadays there are unlimited opportunities to learn anytime and anywhere, in various environments, whether physical or digital, formal, informal, or non-formal. The teaching staff aims to create a learning environment that facilitates, stimulates, and optimizes the students' abilities to learn to easily adapt to the dynamic changes of society. The present paper showcases the learning context as a physical dimension of the learning environment. It is commonly accepted that the physical classroom represents an agent of change. It has also been assumed that each adjustment in the physical learning environment will produce deep transformations in the education system. Moreover, the learning space will reconceptualize the entire educational philosophy. Living in a highly globalized and digitalized era, the learning context has been explored from the perspective of introducing dual education at the university level, both at the Academy of Economic Studies of Moldova and the Technical University of Moldova. The dual education framework in professional technical education has been adopted as a platform that enables universities to prepare students fully equipped for their jobs. The dual education approach has also been analysed from the perspective of strengthening student learning since it provides a real-life environment that makes the learners combine theory with practice. While the theoretical courses are carried out at university, in traditional lecture halls or labs, the practical classes are organized in the company. The partnerships between the university and the industry will only contribute to forging a synergy between traditional and modern, theory and practice, classroom and real-life environments. Through this form of learning, our students will be more connected with the labour market, and the academic staff will manage to create a more efficient and more impactful learning process.
Pelatihan Aplikasi NVivo untuk Riset Kualitatif Bidang Akuntansi kepada Para Peneliti di Universitas Dhyana Pura

The purpose of implementing this community service program is to improve the ability of researchers to conduct qualitative research using the NVivo 12 plus software. This activity was carried out through three stages, namely the planning stage, the implementation stage and the evaluation stage. The method used in the implementation of the event is the lecture and practice method. The resource persons who became instructors in this training were lecturers at the Universitas 17 Agustus 1945 Jakarta and lecturers at Universitas Esa Unggul, as a form of community service. This training is really needed by researchers at Dhyana Pura University because no one has mastered the use of this software properly. Data processing skills with the NVivo 12 Plus software are needed to help the process of completing qualitative research research more effectively. This training focuses on the use of software for processing data from interviews, processing data from news portals, YouTube social media and literature reviews. Evaluation was carried out at the end of the event by distributing questionnaires in the form of a Google form, to find out the level of mastery of the participants. There was an increase in software mastery for the majority of the training participants. The majority of participants were able to independently process data using the NVivo 12 plus software.
DKFM: Dual Knowledge-Guided Fusion Model for Drug Recommendation

Drug recommendation is an AI healthcare task that has become increasingly important during the current COVID-19 pandemic. At present, the accumulation of a large number of electronic health records (EHR) provides strong data support for medical and scientific researchers. Most existing work uses splicing diagnosis and procedure to complete the recommendation task while ignoring the problem that the patient's diagnosis and procedure information are recorded in different levels of detail. Moreover, the splicing of different medical records cannot accurately characterize the patient's condition, thus reducing the accuracy of recommended drugs. In this paper, we propose a drug recommendation model, DKFM, which introduces a molecular knowledge-guided dual-level drug fusion mechanism. DKFM can integrate a patient's diagnosis and procedure important information and determine the impact on the current condition. Then the diagnosis and procedure information was respectively injected into the drug functional group encoder to obtain two candidate drug sets. Finally, select the drugs that are really suitable for the patient's condition at the sets level and the score matrix level as the final recommended drugs. We validate DKFM on the public MIMIC-III dataset, and experimental results show that the proposed model can outperform the state-of-the-art approaches.
Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features

Recent years have seen a shift from a pattern mining process that has users define constraints before-hand, and sift through the results afterwards, to an interactive one. This new framework depends on exploiting user feedback to learn a quality function for patterns. Existing approaches have a weakness in that they use static pre-defined low-level features, and attempt to learn independent weights representing their importance to the user. As an alternative, we propose to work with more complex features that are derived directly from the pattern ranking imposed by the user. Those features are used to learn weights to be aggregated with low-level features and help to drive the quality function in the right direction. Experiments on UCI datasets show that using higher-complexity features leads to the selection of patterns that are better aligned with a hidden quality function while being competitively fast when compared to state-of-the-art methods.
Intelligence Analysis

The analysts are in the field of "knowledge". Intelligence refers to knowledge and the types of problems addressed are knowledge problems. So, we need a concept of work based on knowledge. We need a basic understanding of what we know and how we know, what we do not know, and even what can be known and what is not known. The analysis should provide a useful basis for conceptualizing intelligence functions, of which the most important are "estimation" and "prediction". The intelligence itself, in its basic form, has a decision-making function. Intelligence analysis applies individual and collective cognitive methods to assess data and test assumptions in a secret socio-cultural context.
TECHNOLOGIES IN EDUCATIONAL DESIGN

With the rapid development of society and IT, tangible changes are taking place in the educational system and programs, it becomes possible to explore cause-and-effect relationships and relationships between them, to find solutions in a non-standard way. Technologies, as a kind of mechanism, are capable of using new means and ways of working in the education system, embodied in a real mode. Any technologies should contribute to inadequate solutions, demonstrate their effectiveness, help to find the correct answer to the questions and problems posed, and solve them in a non-standard way. Considering design as an effective product for future education, it is necessary to learn how to identify connections between phenomena, objects, objects, observe changes, find interesting connections, pose an original question: how to change, combine, transform, turn over, replace, align, find analogy, to solve in an original way - all this leads to the formation of hard-soft-vital skills, and independent and creative, search work and the successful implementation of innovative technologies in the design process bring good results. The article discusses three groups of technologies developed and revised by us for design according to certain characteristics and in the direction of performing functions: technologies that provided non-standard, original solutions; technologies related to rethinking and transformation; creative design technologies, principles of working with these technologies.
ENCODING AND TRANSCODING OF TRANSCRIPTIONS OF THE HISTORICAL CORPUS “MANUSCRIPT”

The article considers capabilities of using Cyrillic blocks of the Unicode Standard for the purpose of creating transcriptions, which would represent graphics of medieval Slavonic manuscripts. In addition, much attention is given to the fact that the Unicode Standard provides variants of Cyrillic letters, which means that one can accurately enough record graphic features of manuscripts. However, some variants of certain letters are still missing, and that is why there exists a need to use additional agreements of character encoding, which code points are placed in special blocks and Private Use Areas and not in standard ranges of Unicode. The Manuscript - a historical corpus - is the example of a big machine-readable collection of medieval Slavonic manuscripts. It was created on the base of Oracle DBMS with the use of a specialized system of codes and fonts. Transference of the corpus to other technological platforms or usage of external software (including separate texts, parts of corpora, selections) for analysis of linguistic data would be possible only after downloaded files are recoded to the Unicode Standard. A comparative analysis of the character blocks used in the corpus and in the current version 14.0 of the Unicode Standard leads to the conclusion that recoding either results in losses of graphic features or requires usage of a supplementary set of varying characters with code points of Private Use Areas. Instances when there are two or more characters of the Unicode Standard that correspond to one recoded character of the Manuscript are analyzed. It is also stated that numerous ligatures and certain singular graphemes are missing in the standard blocks and in the blocks of Private Use Areas.
Management of Teaching and Learning Resources Application

Abstract: This paper focuses on the effective management of teaching and learning resources in classrooms using mobile learning and biometric attendance systems. With the creation of mobile applications, learning has become more flexible and accessible. Mobile learning is a strong tool for supporting and increasing learning. Classroom management is also crucial for providing an environment that is favorable to learning, and the integration of proper note-taking strategies can aid in effective learning. Additionally, using biometric attendance can produce precise and trustworthy attendance records, guaranteeing the attendance of all students. Overall, developing a successful learning environment that encourages student engagement and achievement depends on effective management of teaching and learning resources
Analysis of Attacks and Cybersecurity in the Health Sector During a Pandemic COVID-19: Scoping Review

COVID-19 as a global pandemic in March 2020 medical personnel and all types of patients with various chronic conditions is undeniably the largest group of users of digital technology during the pandemic. Increased exposure and massive use of the internet is certainly a potential security threat in itself, especially in the threat of cyber-attacks. The purpose of this study is to analyze cyber-attacks and security in the health sector during the COVID 19 pandemic. The scoping review was conducted by searching two main scientific databases (PubMed and Scopus) using the search formula “COVID 19, Pandemic and cyber-attack, cyber security.” Reports, news articles or websites are also included if they are directly related to previously published work, or if they are the only sources available at the time of writing. Only articles in English published in the last decade are included (i.e., 2009-2020) to focus on current problems, challenges, and solutions. In total, 34 papers were included in the review. We found information technology in the health sector that was used during the COVID 19 pandemic. The COVID-19 pandemic situation is a type of non-traditional security that has a broad impact on various aspects of human life, including the health sector. At a time when many countries have responded to the pandemic situation with various restrictive policies to the prohibition of mobilization, people are adapting by shifting to a new landscape of activity. The cyber world is then used by the community to continue to run productivity. This then has implications for the increase in internet users globally, including Indonesia. Some of the cyberattacks include the practice of phishing emails targeting individual and corporate entities, ransomware targeting healthcare facilities and companies. Further research is needed, especially exploring research on cyber-attacks during a pandemic from the point of view of implementation of cyber security.