Reviewerly/exHarmony huggingface dataset:
Kacapi Kawih Wanda Anyar Learning Online

Learning is an event of interaction or communication between an educator and a student, therefore learning and teaching is an event that has always occur at the same time.Seeing the state of the pandemic that hit Indonesia, certainly it had an impact on learning and teaching process, everything is so very limited.Learning and teaching must be carried out any situation.Such as learning Kacapi kawih wanda anyar, even though we can't meet face to face, but learning must be carried out in order that national life and culture better.Therefore, the author will examine how Kacapi kawih wanda anyar learning on semester IV students at the Indonesian Cultural Arts Institute (ISBI) Bandung.The purpose of this research is to find out how to utilize the applications on Kacapi kawih wanda anyar learning online.To get an overview of Kacapi kawih wanda anyar learning online, descriptive research was conducted qualitative.According to participants consisting of educators and students, Kacapi kawih wanda anyar learning online is less effective.
Root-Of-Trust for Continuous Integration and Continuous Deployment Pipeline in Cloud Computing

Cloud computing has gained significant use over the last decade due to its several benefits, including cost savings associated with setup, deployments, delivery, physical resource sharing across virtual machines, and availability of on-demand cloud services. However, in addition to usual threats in almost every computing environment, cloud computing has also introduced a set of new threats as consumers share physical resources due to the physical co-location paradigm. Furthermore, since there are a growing number of attacks directed at cloud environments (including dictionary attacks, replay code attacks, denial of service attacks, rootkit attacks, code injection attacks, etc.), customers require additional assurances before adopting cloud services. Moreover, the continuous integration and continuous deployment of the code fragments have made cloud services more prone to security breaches. In this study, the model based on the root of trust for continuous integration and continuous deployment is proposed, instead of only relying on a single sign-on authentication method that typically uses only id and password. The underlying study opted hardware security module by utilizing the Trusted Platform Module (TPM), which is commonly available as a cryptoprocessor on the motherboards of the personal computers and data center servers. The preliminary proof of concept demonstrated that the TPM features can be utilized through RESTful services to establish the root of trust for continuous integration and continuous deployment pipeline and can additionally be integrated as a secure microservice feature in the cloud computing environment.
Structuring of the course “Methods of preparing scientific publications” for PhD students in VLE (the case of Lviv Polytechnic National University)

The article deals with the research into the elements of distance learning in higher education institutions.The aim of the article is to analyse how the "Methods of preparing scientific publications" course for PhD students is organized and structured in the virtual learning environment (VLE) of Lviv Polytechnic National University.The article presents the analysis of the scientific and pedagogical literature highlighting various aspects of the research problem, in particular, the content of PhD students training; innovative methodological approaches to postgraduate training; application of the competence approach; foreign experience in implementing educational and scientific programs at the third level of higher education.It was found that the course "Methodology of preparing scientific publications" belongs to a series of elective disciplines that form general scientific competences and universal skills of the researcher.The structure of the electronic educational-methodical complex "Methodology of preparing scientific publications" in VLE of Lviv Polytechnic National University consists of an organizational unit (containing information about the author; the course syllabus; guidelines for self-study; guidelines for practical work; guidelines for preparation, execution and layout of individual research tasks; a set of lectures; description of the evaluation criteria, a list of recommended reading, glossary, and forum) as well as individual thematic modules (theoretical methodological basics for preparing scientific publications; a scientific text and its types; a scientific text and its syntactic difficulties; preparation for publication of research results: main stages and requirements; dissemination of the research results; scientometric databases Scopus and Web of Science; "predators" in science).Each module comprises a lecture, a presentation for the lecture, a video lecture, training tests, a presentation for the practical class and a practical work.It is concluded that the combination of components in the complex indicate the presence of didactic goals.Thus, the learning activities of PhD students are structured and the aims to be achieved are determined: the knowledge to be acquired; the practical skills to be mastered; the tools to be used to achieve the goals.The thematic learning content is also well structured; the information on the methods of learning is presented, methods of control and self-study are explained, the criteria for evaluating learning outcomes are worked out etc.
Teaching writing through Instagram to improve students’ writing skill at the first grade of SMA Negeri 15 Bandar Lampung

The objectives of the research are to identify the improvements to students’ writing skill and to find which aspect has the most significant improvement. This research used a quantitative method and Repeated Measures T-test used to analyze the data. The instrument is a writing test that consists of pre-test and post-test. The result shows that students’ overall mean was 68.07 In the pre-test, while the mean of the post-test was 77.64. It means that there was an increase in students’ scores by 9.57 points. Moreover, the most improved aspect was grammar. The mean of this aspect in the post-test (18.6) was higher than the mean in the pre-test (15.4) with the gain of 3.2. It can be said that Instagram can be applied in teaching writing to improve writing skill.
Few-Shot Tabular Data Enrichment Using Fine-Tuned Transformer Architectures

The enrichment of tabular datasets using external sources has gained significant attention in recent years.Existing solutions, however, either ignore external unstructured data completely or devise dataset-specific solutions.In this study, we proposed Few-Shot Transformer based Enrichment (FeSTE), a generic and robust framework for the enrichment of tabular datasets using unstructured data.By training over multiple datasets, our approach is able to develop generic models that can be applied to additional datasets with minimal training (i.e., few-shot).Our approach is based on an adaptation of BERT, for which we present a novel finetuning approach that reformulates the tuples of the datasets as sentences.Our evaluation, conducted on 17 datasets, shows that FeSTE is able to generate high quality features and significantly outperform existing fine-tuning solutions.
Монети и медалјони со ликот на Гоце Делчев - Coins and Medallions with the Image of Goce Delchev

Numismatics is the science of studying, collecting, and preserving currencies in terms of coins and banknotes. From their appearance in the VII century BC until today, coins are an extremely important tool in the creation and shaping of the iconography and symbolism of a society. It may be said that issuing coins, in order to mark an occasion or event, is a phenomenon as old as the coins themselves. The purpose of this article is to review the current practice of the National Bank of the Republic of Macedonia in issuing appropriate collector coins, with special reference to money and other numismatic objects that bear the image of the Macedonian revolutionary Goce Delchev. In 1978, on the occasion of the 75th anniversary of the Ilinden Uprising and the 75th anniversary of his demise, two gold and one silver medallion with his image were issued. Also the National Bank of the Republic of Macedonia issued in 2003, on the occasion of 100 years of Ilinden, a gold coin with his image. Paranumismatical objects from other organizations will also be considered. Events of special importance for Macedonia, as well as certain numismatic events in the region, also influenced the direction of this article.
Intertwined Structures

Argumentative structures are photographs of argumentative processes that capture the macro-arguments that participants construct interactively in the course of the argumentative exchange. We might say, then, that argumentative structures are the static counterpart of the dynamic dialectical profiles, as defined by van Eemeren (2010, p. 98). Since dialectical profiles are made of moves and countermoves, oppositional relationships between arguments are the key to understanding argumentative structures. Raising an objection, rebutting an argument and refuting an argument are moves in an argumentative exchange. Every countermove amounts to the application of an operation that produces a new argumentative structure. In this way, an abstract structure formed by arguments and counter-arguments can be extracted from the argumentative process.
Improving the Efficiency of a Blockchain-Based Confidential Registered e-Delivery Protocol

Security protocols based on blockchain technology need to achieve some relevant features to spread their acceptance. In this paper we present a set of implementation techniques to enhance the efficiency and the operational cost of such protocols. We have recently presented a powerful protocol for confidential registered e-deliveries of data [2] that fulfills the security requirements for this service thanks to the use of blockchain technologies. However, the efficiency and the execution costs could reduce its viability. In this paper we present an improvement of this protocol acting in three different aspects of the protocol: the way the encrypted data is stored, now we use an off-chain storing scheme; the cryptosystem used, making it possible to use shorter keys with the same security level; and the implementation of the smart contracts, where more efficient functions are used allowing lower costs in the creation of the deliveries. The paper has a description of the protocol with the new improvements. Also we have implemented, tested and compared the new proposal with the original one, showing how the costs have been reduced significantly.
Criteria for Measuring the Efficiency of use of Appliances: Survey from Usability Experts and Designers Opinion

This paper is part of a larger research project that aims to propose a methodological approach that aims to measure the efficiency of use of appliances in Usability Tests. This paper, in turn, aims to develop a list of criteria that should be considered in evaluation the efficiency of use of appliances in Usability Test. To achieve this goal, a research was conducted in the literature, with researchers in usability, with designers specialize in appliances and usability experts. The tools were considered: interview and five-point Likert scale. As a result, the following criteria have been selected as a recommendation to be considered in research that address the efficient use of appliances in Usability Test: efficiency perceived by the participant, the total time to perform the task, number of steps taken to implement the task, number of errors, cognitive effort, number of attempts and number of questions.
A Checkpoint on Multilingual Misogyny Identification

We address the problem of identifying misogyny in tweets in mono and multilingual settings in three languages: English, Italian and Spanish.We explore model variations considering single and multiple languages both in the pre-training of the transformer and in the training of the downstream task to explore the feasibility of detecting misogyny through a transfer learning approach across multiple languages.That is, we train monolingual transformers with monolingual data and multilingual transformers with both monolingual and multilingual data.Our models reach state-of-the-art performance on all three languages.The single-language BERT models perform the best, closely followed by different configurations of multilingual BERT models.The performance drops in zero-shot classification across languages.Our error analysis shows that multilingual and monolingual models tend to make the same mistakes.
A practical solution for blockchain-secured sharing of trustworthy traffic information in vehicular ad hoc networks

The extensive use of vehicles nowadays and the emergency of autonomous driving urge the improvement of traffic safety. Prevalent approaches competent at preventing road accidents are inseparable from the trustworthy data acquisition. But in vehicular ad hoc networks (VANETs), data transmission and storage are unreliable due to constrained resource and unsteady topology. Currently, distribution is widely applied into VANETs for multifold data protection and blockchain becomes preferred with its distributed consensus and ledger for data trust protection. Therefore, we propose a system in this paper, which employs blockchain technology to secure the sharing of visual traffic information. As proposed, the sequence of frames is used for their integrity consensus, the transaction capacity is adjusted according to the frame types, and transcoding frames is defined via smart contracts; thus, traffic information gains more in-depth protection. With the proposed system, vehicles can confidently use the information for safety guidance.
LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory

LM-BFF (Gao et al., 2021) achieves significant few-shot performance by using auto-generated prompts and adding demonstrations similar to an input example.To improve the approach of LM-BFF, this paper proposes LM-BFF-MS-better few-shot fine-tuning of language models with multiple soft demonstrations by making its further extensions, which include 1) prompts with multiple demonstrations based on automatic generation of multiple label words; and 2) soft demonstration memory which consists of multiple sequences of globally shared word embeddings for a similar context.Experiments conducted on eight NLP tasks show that LM-BFF-MS leads to improvements over LM-BFF on five tasks, particularly achieving 94.0 and 90.4 on SST-2 and MRPC, respectively 1 .
Automated Attendance System Based on Facial Recognition using Viola-Jones Algorithm

Facial Recognition is the most used technology nowadays. Apart from Bio-metrics, Iris scan, fingerprint recognition methodologies, facial recognition is emerging recognition methodology these days. One of the most effective applications of this methodology is automated attendance using facial recognition, which is contact less, secure, and effective unlike in tradition way (manual attendance) it saves more time. Methodology used in this project involves Viola-Jones algorithm for face detection and Eigenfaces approach for feature selection and classification. In Viola-jones algorithm inputs are taken as captured images of individual persons and produce a dataset containing cropped images of individual and these dataset is directed to Eigenfaces approach as input and training of data occurs through the process of calculating eigen vectors for each eigenface. At the time of testing, Euclidean distance between eigen vectors of testing image and eigen vectors of trained eigen faces determines the matched individual. Facial recognition can also be done with PCA, which has 79.6 percent accuracy, and LBPH, which has 90.23 percent accuracy. However, when employing the Eigenfaces technique, the accuracy is 93.07 percent. MATLAB software with Computer Vision Toolbox and Deep Learning Toolbox is used for this work.
Experimental Results on Multi-modal Deepfake Detection

The advantages of deepfakes in many applications are counterbalanced by their malicious use, for example, in reply-attacks against a biometric system, identification evasion, and people harassment, when they are widespread in social networks and chatting platforms (cyberbullying) as recently documented in newspapers. Due to its "arms-race" nature, deepfake detection systems are often trained on a certain class of deepfakes and showed their limits on never-seen-before classes. In order to shed some light on this problem, we explore the benefits of a multi-modal deepfake detection system. We adopted simple fusion rules, which showed their effectiveness in many applications, for example, biometric recognition, to exploit the complementary of different individual classifiers, and derive some possible guidelines for the designer.
Introduction to medical and biomedical image synthesis

Image synthesis methods in medical and biomedical imaging are able to augment image datasets, increase image resolution, fill missing or incomplete data, derive data in one modality using another modality, prepare perfect annotation, etc. These use cases (and not only those) are mentioned in the second part of this book. The first part of the book is more theoretical and explains the basic principles of image synthesis methods, how they work and how to implement them. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with some perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis and research directions that should be worth exploring in the future.
An Assessment about the Business and Profitability Analysis for Netflix

This project is to make a detailed analysis of Netflix Inc to assess the business strategy and profitability condition of Netflix Inc. Netflix Inc is a good case in the media streaming industry because it has a rapid development in the last 10 years and takes a large share of its national market together expanding its market internationally.The research will firstly introduce the background and illustrate strategies of Netflix Inc.After that we will use financial analysis to dig deeper into the profitability condition of Netflix.What comes next is our recommendations for Netflix based on our analysis above.Finally, we conclude that Netflix's profitability will develop steady in the near future.But it will face growth ceiling and downward challenges.At this stage, it is urgent for Netflix to make new exploration and innovation.
UMUTeam@TamilNLP-ACL2022: Emotional Analysis in Tamil

This working notes summarises the participation of the UMUTeam on the TamilNLP (ACL 2022) shared task concerning emotion analysis in Tamil.We participated in the two multiclassification challenges proposed with a neural network that combines linguistic features with different feature sets based on contextual and non-contextual sentence embeddings.Our proposal achieved the 1st result for the second subtask, with an f1-score of 15.1% discerning among 30 different emotions.However, our results for the first subtask were not recorded in the official leader board.Accordingly, we report our results for this subtask with the validation split, reaching a macro f1-score of 32.360%.
Hardware Acceleration of SIKE on Low-End FPGAs

In this letter, we present the design and implementation results of two hardware accelerators for the supersingular isogeny key encapsulation (SIKE) suite. These designs aim at enabling quantum-safe cryptography solutions for constrained platforms by offloading the cost of bulk arithmetic from the main processor. One of the proposed architectures has area reduction as the main implementation goal; the second design improves the former on the energy footprint. This software–hardware co-design addresses the challenges of performing bulk arithmetic in software and reducing the control complexity in hardware, thus minimizing the communication overheads found on simple arithmetic accelerators. Compared to other designs in the literature, the proposed architectures do not rely on in-fabric memory and processing units, a key point for porting such solutions to any implementation technology such as field-programmable gate arrays (FPGAs).
LIFELONG DEVELOPMENT OF A UNIVERSITY TEACHER’S PROFESSIONAL SKILLS

The article offers a theoretical and practical analysis on the problem of formation and improvement of a university teacher’s professional and pedagogical skills. The authors reveal theoretical approaches to the problem of defining the concepts of «education», «blended learning», «distance learning». Based on the theoretical analysis on the essential features of modern society in general and the education system in particular the following issues are highlighted: forced isolation and migration of a significant part of citizens, search for new directions of formation and improvement of teachers’ professional skills; identification of forms and methods as well as determination of the main factors of formation and improvement of a university teacher’s professional skills. Peculiarities of mixed and distance mode of educational process organization are indicated. System principles of open education are listed (mobility of the whole educational process, equal access to educational systems, provision of quality education, formation of structure and realization of educational services). The need to create a single information and educational space for the educational process of student’s training is noted as the article describes its main features. In the context of improving the professional skills of a university teacher, different approaches to the interpretation of the skills of a university teacher are proposed; the research on the system of adult education is closely related. The tasks of the state policy in the field of adult education on the basis of normative-legal documents are listed. The leading factors of formation and improvement of a university teacher’s professional skills (self-motivation, mobility, self-satisfaction and self-encouragement) are singled out; their thorough characteristic is given. Emphasis is placed on the creation of a single digital educational environment of the educational institution. Significant benefits are identified for all participants, including teachers. Particular attention is paid to the teacher’s personal educational portfolio, which is a set of information about the documents on personal achievements.