Reviewerly/exHarmony huggingface dataset:
Analisis Usability pada Situs Perpustakaan UC dengan Menggunakan System Usability Scale

During the Covid-19 pandemic, libraries have been severely impacted by a decline in visitors. Universitas Ciputra’s Library (UC Library) has its own website outside the main university website, but the initial page does not reflect much on the main function of the library which provides collections that are available and accessible to users. To revive the function of the UC Library site to be useful and empowered for the UC academic community, it is necessary to revitalize it. The level of usability is very influential for the sustainability of a system, and in this study it can certainly be useful for initial data on the revitalization process. One method to measure usability that is often used is the System Usability Scale (SUS). SUS was developed by John Brooke since 1986. SUS is a usability scale that is reliable, popular, effective, and inexpensive. Users of the UC Library site were given 10 questions and answered them using a Likert scale. The results of the calculation of 46 respondents obtained the SUS score obtained is 57.12. This value falls into category F, and this results in a low usability level of the UC Library site and it is very necessary to revitalize it.
Real-Time Sign Language Detection using TensorFlow, OpenCV and Python

Abstract: Deaf and hard-of-hearing persons, as well as others who are unable to communicate verbally, utilise sign language to communicate within their communities and with others. Sign languages are a set of preset languages that communicate information using a visual-manual modality. The dilemma of real-time finger-spelling recognition in Sign Language is discussed. We gathered a dataset for identifying 36 distinct gestures (alphabets and numerals) and a dataset for typical hand gestures in ISL created from scratch using webcam images. The system accepts a hand gesture as input and displays the identified character on the monitor screen in real time. This project falls under the category of human-computer interaction (HCI) and tries to recognise multiple alphabets (a-z), digits (0-9) and several typical ISL hand gestures. To apply Transfer learning to the problem, we used a Pre-Trained SSD Mobile net V2 architecture trained on our own dataset. In the vast majority of situations, we constructed a robust model that consistently classifies Sign language. Many studies have been done in the past in this area employing sensors (such as glove sensors) and other image processing techniques (such as edge detection technique, Hough Transform, and so on), but these technologies are quite costly, and many people cannot afford them. During the study, various human-computer interaction approaches for posture recognition were investigated and evaluated. The optimum solution was determined to comprise a set of image processing approaches with Human movement categorization. Without a controlled background and low light, the system can detect chosen Sign Language signs with an accuracy of 70-80%. As a result, we're creating this software to assist such folks because it's free and simple to use. However, aside from a small group of people, not everyone is familiar with sign language, and they may need an interpreter, which may be cumbersome and costly. This research intends to bridge the communication gap by building algorithms that can anticipate alphanumeric hand motions in sign language in real time. The main goal of this research is to create a computer-based intelligent system that will allow deaf persons to interact effectively with others by utilising hand gestures. Keywords: Pre-Trained SSD Mobile net V2, Sign Language , HCI
A generative adversarial network for video compression

Video data has occupied people’s daily professional and entertainment activities. It imposes a big pressure on the Internet bandwidth. Hence, it is important to develop effective video coding techniques to compress video data as much as possible and save the transmission bandwidth, while still providing visually pleasing decoded videos. In conventional video coding such as the high efficiency video coding (HEVC) and the versatile video coding (VVC), signal processing and information theory-based techniques are mainstream. In recent years, thanks to the advances in deep learning, a lot of deep learning-based approaches have emerged for image and video compression. In particular, the generative adversarial networks (GAN) have shown superior performance for image compression. The decoded images are usually sharper and present more details than pure convolutional neural network (CNN)-based image compression and are more consistent with human visual system (HVS). Nevertheless, most existing GAN-based methods are for still image compression, and truly little research investigates the potential of GAN for video compression. In this work, we propose a novel inter-frame video coding scheme that compresses both reference frames and target (residue) frames by GAN. Since residue signals contain less energy, the proposed method effectively reduces the bit rates. Meanwhile, since we adopt adversarial learning, the perceptual quality of decoded target frames is well-preserved. The effectiveness of our proposed algorithm is demonstrated by experimental studies on common test video sequences.
Problems faced and strategies applied by test-takers in completing the TOEFL iBT Test

The present study aimed at exploring strategies applied and the problems test-takers faced before, during, and after working on an integrated reading-listening-writing (IRLW) task. This narrative inquiry research employed 23 students taking a TOEFL iBT test in the Indonesian context using the purposive sampling technique. The respondents answered a questionnaire and written questions related to the problems they faced during the test and their strategies to solve the problems. The test-takers’ responses from the interview were used to confirm the data from the responses to written questions. The researchers used an in-depth interview protocol to explore the test-takers’ strategies to solve the problems they faced when doing the test. The interview process was conducted right after they finished the test. The data from the questionnaire, written questions, and interviews were further analyzed descriptively. The findings showed that the test-takers encountered internal and external problems in completing the IRLW of the TOEFL iBT test. They used different integrated writing strategies, depending on their learning styles, cognitive levels, experiences, abilities, levels of anxiety of each test-taker, and the environment of the test. The affective, cognitive, metacognitive, and test-wiseness strategies were all used in their own way to solve their problems. It implies that future test-takers need to learn and apply all positive strategies based on their learning styles. English teachers, therefore, should teach positive strategies of IRLW because students might not know the importance of the strategies and how to use them in the test.
The Value System Of Students - Future Psychologists: Training Nationally Oriented Elite

The article is devoted to the research of the value system of university students in the aspect of training nationally oriented elites.The problems of their upbringing and education in modern transitive society are actualized based on the criteria of compliance of their value system with the high ideals of culture, spiritual and moral self-improvement, and the orientation of interests to serve society.The authors identified the negative trends of modern education affecting qualitative changes in the meanings and foundations of education of the highest stratum of society.The research focuses on the analysis of strengthening pragmatic and individualistic principles, the substitution of higher values by market ones, the loss of anthropological, axiological, and culture-creating missions of education.The data obtained indicate an underestimation of the reflexive-value, educational aspects of the educational process aimed at forming a system of personal and professional values and meanings of the personality of future psychologists.The purpose of the study is to identify correlations and identify the leading factors in the value system of students-future psychologists, determining its hierarchical structure in the context of the preparation of nationally oriented elite.The authors used the following methods: testing, ranking, correlation, and factor analysis.The importance of motivational driving forces underlying the values of respondents who are aware of the full extent of their influence on people (r=0.604**);strive for understanding, tolerance, and protection of the well-being of all people and nature (r=0.420**) was proved; independent choice of one's life path (r=0.402**) was shown.
Review of multimedia communication quality assessment techniques

Communication pattern is drifting from conventional audio to multimedia applications, streaming live and on-demand digital video contents over telecommunications and broadcasting networks. Currently, some businesses deploy video in promoting products in a far more enriching, entertainment and informative approach than typical traditional audio would allow. However, users of multimedia applications are interested in paying for a good acceptable video quality. Thus, this paper reviews methods used in Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Metric (SSIM) and Video Quality Metric (VQM) with the objective of providing useful information to wireless video services providers in assessing and monitoring of quality of multimedia services delivered to users. Experimental comparison of PSNR, SSIM and VQM assessment methods to examine their performances in evaluation of multimedia applications has been performed. Comparing the quality performance of PSNR, SSIM and VQM metrics for Akiyo and Crew standard test sequences, it has been observed that the quality performance of the metrics improves when the bitrates allocation increase. For the test of consistency and quality performance of the metrics, observation shows that for a given bitrates of 3.84Mb/s, under CABA test configuration, Akiyo test sequence, experienced better quality performance of 46.63dB (PSNR), 99.10% (SSIM) and 11.00% (VQM) compared to lower quality performance of 36.18dB (PSNR), 90.40% (SSIM) and 22.00% (VQM) experienced by Crew test sequence. Experimental results of the media quality metrics for Akiyo and Crew standard test sequences with different temporal activity levels show that the quality performance of media content also depends on the temporal activity of the media content. The experimental results further show consistency in quality performance of PSNR, SSIM and VQM metrics for CABA and UBA test configurations. Thus, the objective metrics can be harnessed for evaluation of quality performance of multimedia applications at different channel conditions.
Lack of community participation in the fight against stock theft in Dr. Pixley ka Isaka Seme Municipality, South Africa: What went wrong?

The South African Police Services (SAPS) has a constitutional responsibility to prevent, combat, and investigate crime that would naturally occur within communities. It therefore stands to reason that, if the police are to fullfil this responsibility, community members should be involved. This paper examines the phenomenon of lack of community involvement in the fight against stock theft in Dr. Pixley ka Isaka Seme Municipality, Mpumalanga Province. To achieve this objective, it was necessary to first determine the extent to which community in the Dr. Pixley ka Isaka Seme Municipality is involved in the fight against of stock theft. A qualitative research approach was adopted for this study with the use of semi-structured in-depth interviews to collect data. The sample consisted of 22 participants selected through purposive sampling, who included farmers, herdsmen, Community Police Forum members, and community leaders. The study found that the community in the Dr. Pixley Ka Isaka Seme Municipality is not involved in the fight against stock theft and that this could mainly be attributed to the poor relationship between the South African Police Service and the community. It was also found that there are no regular meetings taking place to ensure that there is a common understanding regarding various stakeholders’ responsibilities in an attempt to combat stock theft within the area of study. There are no awareness campaigns to discuss the stock theft trends in Dr. Pixley Ka Isaka Seme Municipality area between the police and the community.
Ketidakmampuan Membaca (Disleksia) dan Dampaknya Terhadap Perkembangan Anak

The purpose of this study was to identify dyslexia disorders, and how to apply and treat them, so that they can help and reduce the impact of subsequent development. This research uses library research and the type of research is descriptive qualitative analysis. The data collection method is from the book "Innovations in Educational Psychology" by David Preiss and Robert J. Sternberg, as the main source (primary) and a review of other literatures that discuss the same research as this study as a second (secondary) source, to explore further opinions or views on dyslexia and its impact on development. The results of the study, dyslexia is one type of learning difficulty in children in the form of a reading disability, a symptom that is not caused by the ability of sight, hearing, intelligence, or language skills, but a disturbance in the brain's processing when receiving an information processing. Eye movement control, visual perception, understanding of orthographic, phonological, and semantic features of words, higher-order language and cognitive, storage, and concentration skills are all necessary for reading.
The Diffusion of Blockchain as a General Purpose Technology Driving Digital Transformation

IntroductionDigital transformation as a process is integrally linked to the creation and diffusion of a set of technologies that include blockchain as well as artificial intelligence (AI), machine learning (ML), the Internet of things (IoT), and virtual/augmented reality (AR/VR) (Schildt, 2020). As in prior periods of major transformation, these “general purpose technologies"
Secure encryption from cyclic codes

Encryption is the process of scrambling a message and can provide a means of securing information. Information security is becoming more important in data storage and transmission. It is known that most encryption method in the literature. In this paper we propose two new encryption schemes by using cyclic codes. Our method is based on the One Time Pad system. We use the properties of cyclic codes to provide its security.
Blockchain Technology and its Use Cases

Abstraction: Blockchain is a disruptive core technology that has the potential to change the internet as we know it, forever. Transactions on blockchain are completely decentralised. Although , we can say it is its very crucial property that we need over traditional second generation web aka web2.0. In this research, we had discussed about the fundamentals, working principles, and upcoming future use cases to get a stable, privacy oriented working. We explored the top articles, most productive countries, top most education sources to do evaluation on the future use cases of blockchain in day to day life. In this paper, we will get knowledge about the top most advantages of blockchain over previous technology. Architecture of blockchain like nodes &amp; networks are also discussed in this paper. We had discussed the core principles of decentralisation, distributed database ledgers: bill book type management to store all activities &amp; transaction, cryptography: to protect the system from unethical activities. Cryptography derived or explains the us concepts of proof of work (POW) and proof of stake (POS). These concepts increases the trust and productivity on the blockchain. We will discuss about all types of security practices like Hashing, Private keys, Consensus: inspector of modern blockchains, architecture ( nodes &amp; network) etc. At last we will discussed the future use cases of blockchain. Keywords: Blockchain, Decentralised web, NFT, Consensus, ledgers, bitcoin, blockchain’s use cases
Exploring University Students’ Difficulties in Writing English Academic Essay

Academic wiring is one of the essential skills in academic writing, and it is vital to support students' self-development through opinion writing, grant essay writing and others. This study explores students' difficulties in writing English academic essays and the dominant challenges by using a mix-method approach. The qualitative is used to collect data, while the quantitative is used to find the difficulty percentage—the data analysis uses indicators from Brown (1999). The sample of this study was 30 students in the fifth semester of the English Education Study Program at Universitas Kristen Artha Wacana. The results showed that students still experienced serious difficulties in four aspects of academic writing; content, organization, discourse and mechanics. The most dominant difficulties (97%) were found in; 1) thesis statement; 2) related ideas; 3) development of ideas; and 4) use of description/cause and effect, comparison/contrast; 5) effective introduction; 6) topic sentence and 7) reference. Writing essays are challenging for students in the English Education Study program. Further research is recommended to investigate the causal factors and find practical strategies for teaching academic writing courses.
Weather Webapp Using Reactjs And Weather API

Abstract: Over the past year Weather app is extremely useful to check weather for user all across the world and it will only grow by time. Most popular Weather app are Google Weather , Yahoo Weather and so on as this Weather app are very user friendly so that user don’t get any difficult to use Weather app.
Research on Online Learners’ Course Recommendation System Based on Knowledge Atlas in Smart Education Cloud Platform

At present, there are still some problems in the application of recommendation algorithm in course, such as data sparseness, lack of knowledge logical relationship, and lack of explanation. Therefore, in this paper, the recommendation system of course for online learners based on knowledge map is implemented where different functional modules are designed, and the recommendation model is optimized based on the loss function. In addition, a recommendation algorithm is designed, which selects the data set, tests the algorithm based on knowledge map, and mainly evaluates the performance from the rate of click-through predicted evaluation, accuracy rate, and recall rate. The results show that the overall performance of online learner course recommendation system based on knowledge is excellent.
Quantum algorithm for electronic band structures with local tight-binding orbitals

Abstract While the main thrust of quantum computing research in materials science is to accurately measure the classically intractable electron correlation effects due to Coulomb repulsion, designing optimal quantum algorithms for simpler problems with well-understood solutions is a useful tactic to advance our quantum “toolbox”. With this in mind, we consider the quantum calculation of a periodic system’s single-electron band structure over a path through reciprocal space. Previous efforts have used the Variational Quantum Eigensolver algorithm to solve the energy of each band, which involves numerically optimizing the parameters of a variational quantum circuit to minimize a cost function, constructed as the expectation value of a Hamiltonian operator. Traditionally, a unique Hamiltonian operator is constructed for each k-point, so that many cost functions, each with their own parameter space, must be optimized to generate a single band. Similarly, calculating higher bands than the first has traditionally involved modifying the cost function with additional overlap terms to ensure higher-energy eigenstates are orthogonal to those of lower bands. In this paper, we adopt a direct space approach, using a novel hybrid first/second-quantized qubit mapping which allows us to construct a single Hamiltonian, and a single cost-function, suitable for solving the entire electronic band structure. In contrast to previous approaches, the k-point and the band index are selected by additional parameters in our quantum circuit, rather than through modifications to the cost function. The result is a technically and conceptually simpler approach to band structure calculations on a quantum computer. Moreover, we expect that the tools developed herein will motivate new strategies for tackling highly-correlated materials beyond the grasp of classical computing.
Доверие к дистанционному обучению в условиях пандемии: оценки качества образования студентов и преподавателей российских вузов

Introduction. The widespread transition of higher education institutions to distance learning during the COVID-19 pandemic contributed to a decrease in education quality ratings. These trends, against the background of forecasts of an increase in the share of “distance learning” in the educational process, may initiate an increase in social tension, as well as a decrease in the level of trust in the activities of authorities that do not fully ensure the maintenance of the quality of education in the new conditions. Aim. The aim of the article was to assess the quality of education in the context of distance learning, to analyse the consequences of the transformation of the practices of interaction between a teacher and a student. Methodology and research methods . An all-Russian comprehensive sociological study was conducted using the following methods: questionnaires and focus groups. The first wave of the study was a survey of students of higher educational institutions of economic orientation from 14 regions of the Russian Federation (the sample population was 6,500 students). During the second wave, the following projects were implemented: 1) a survey of students of economic universities from 17 regions of the Russian Federation (sample population = 7600); 2) a survey of teachers of the Financial University (sample population = 520); 3) focus groups with students. Results and scientific novelty . The results obtained allow the authors to draw the following conclusions: the remote format of classes during the quarantine restrictions did not cause a sharp drop in the quality of education. Meanwhile, students’ preferences demonstrate a commitment to the traditional form of education. The factors that shape the readiness of students for distance education (course of study, budget/contract form, direction of training) are identified. The main problem is related to the lack of face-to-face communication, which is interpreted by the authors not so much as an objective limitation of the remote format of work, but as a subjective unavailability, low adaptation of pedagogical and communicative practices to remote online interaction. The study showed the strengthening of the role of informal network interactions that ensure the filling of the information vacuum in conditions of uncertainty, the formation of trust Practical significance. The research results and conclusions can be used for further theoretical and practical developments in this area, and can also become the basis for the preparation of methodological recommendations to reduce the negative consequences of the introduction of distance learning and improve the quality of education in the new environment.