Reviewerly/exHarmony huggingface dataset:
The Development of New Technology Intergration in E-commerce Dispute Resolution in Vietnam

Regulatory authorities all over the world are making plans to observe and advise cryptocurrency action in their countries in a responsible way. This is to ensure, among other things, market rate behavior, market economics, the implementation and regulation of tax laws, and consumer safety inside the distinctive attributes of the investments, all while encouraging the development of a profitable bitcoin economy. Vietnam is no different, especially as cryptocurrencies are known to be cross-jurisdictional, and as such, supervisory difficulties do not end at state boundaries. Recent developments in Vietnam indicate that they are moving toward cross-jurisdictional regulatory norms to promote regulatory clarity, remove loopholes, and prevent regulatory arbitrage, all while adhering to stringent currency control. There also has been some recent recognition of crypto-based inventions and efficiency in money and trade, notably for cross-border dealings. Some progressive examples in this paper are illustrated to develop dispute resolution mechanisms for e-commerce using new technology. Recommendations are made in respect to the use of viewpoints of a comprehensive cross-section of the Quadratic Voting /Smart Contracts with permission-based blockchain network as useful tools to assist Vietnamese controllers in emerging online dispute mechanisms towards a streamlined e-commerce economy.
Analysis of the effects of image quality differences on CAD performance in AI-based benign-malignant discrimination processing of breast masses

In recent years, the amount of images to be read has increased due to the higher resolution of diagnostic imaging devices, and the burden on doctors has also increased. To solve this problem, the improvement of CAD (computer-aided diagnosis) performance has been studied. In this study, we developed an AI-based system for discriminating benign and malignant breast cancer tumors using transfer learning, one of the deep learning methods of AI, and analyzed what factors are necessary to improve the diagnostic accuracy of the system. Classification of benign and malignant diseases using diagnostic images showed an accuracy of 90%, which was equivalent to physician's discrimination, but the accuracy for medical checkup images was low at 85%, and image comparison revealed that this was due to noise and low contrast. We analyzed that these improvements are necessary for the construction of a more accurate CAD system for medical checkup images.
Stage speech as a important component of professional skills in mastering the profession of actor

The purpose of the study. To analyze essential characteristics of stage speech in actor’s profession and to distinguish the aspects relevant in forming of future actors’ professional skills. An additional purpose of the research lies in exploration of significance of all stage speech skills acquired in the course of training and practical activities in young actor’s professional career.&#x0D; The methodology. The methodology of the paper is determined by the specifics of the article’s subject and purpose. The basis of the research is determined by historical-chronological, typological, analytical and complex methods along with the use of own methodological materials and generally accepted theatrical literature, archival materials and periodicals on the subject. To solve the set tasks, analytical-synthetic methods of source processing and art analysis (particularly in the part of practical review of using the exercises for breathing posture, development and correction of diction and pronunciation) have also been used, as well as the comparative-historical approach (to outline the state of stage speech development in Ukraine and across the world).&#x0D; Conclusions. We revealed the pedagogical conditions for formation of performing skills and professional speech potential in those who master the art of acting through professional training at higher educational institutions. It is appropriate to introduce special courses in practical areas of “Verbal interaction training” and “Training of actor’s acting skills”. Such conditions are fully justified theoretically and proven experimentally in the course of educational process in higher educational institutions and by practical experience in theatrical realities of state and private creative teams. The semantic component of working with words and speech practice in students’ training in the acting field has been defined, structural components, criteria and indicators have been outlined, with performing skills’ levels having also been described to further assess the mastery of acting in the course of professional training. Having analyzed various sources on the subject of the article, we can summarize that perfect mastery of stage speech is one of the future actor’s most significant indicators emphasizing his/her skills. &#x0D; The scientific novelty. In the framework of analytical research, the mechanisms for development of basic professional skills of stage speech in students of higher educational institutions applying for the first (bachelor’s) level of “dramatic theater and cinema” acting art educational curriculum were analyzed.&#x0D; The practical significance of results obtained. The research results may be used to improve educational curricula that need to be implemented for the purposes of developing better and more productive skills of professional stage speech. They may also be used in preparation for individual practical lessons, lecture courses on “Stage speech” subject to train future professional actors of theater and cinema.
New Encryption Mechanism for Fax Communications

Abstract. This research aims to design an encryption mechanism that secures fax communications over PSTN. Proposed encryption mechanism was designed to execute on a computer system (encryptor) designed for this purpose. Proposed encryption mechanism depends on (OTP) One Time Pad as its encryption core, and using CBC (Cipher Block Chaining) as its encryption mode, while the session keys generation process is done using 1-D CA (Cellular Automata). Session keys exchanging is handled by using one of standard public key cipher algorithms.
Media Tangga Konversi Berbantuan Lagu Untuk Meningkatkan Hasil Belajar Matematika

The understanding of the concept of unit length conversion in 3rd grade students of SDIT Al Akhyar is still relatively low. This can be seen from the percentage of completeness which is only 24%. For this reason, it is necessary to improve learning. The first step that was chosen was to use the Length unit Conversion ladder media. The purpose of this study was to improve student achievement in learning Mathematics for length unit conversion material using the Conversion Ladder media. This research is a classroom action research conducted at SDIT Al Akhyar. This research went through two cycles. The research phase of each cycle is carried out starting from planning, implementation, observation, data collection, and reflection. The results of the implementation are evaluated in the reflection as the basis for improvement plans in the next cycle. Data analysis used qualitative and quantitative analysis. The results showed an increase in students' ability to convert length units from pre-cycle, cycle 1 and cycle 2. The average value in pre-cycle was only 53.10, cycle 1 increased to 68.96 and cycle 2 became 88.27. The percentage of completeness of students increased from 24% or 7 students who experienced completeness in the pre-cycle, to 55% (16 students) in cycle 1 and 83% or 24 students who completed learning in cycle 2. These findings indicate that the use of ladder media conversion can improve learning outcomes in learning Mathematics in the length unit material.
Opportunities for the development of students’ skills and creativity during the pandemic

The coronavirus pandemic had a major impact on higher education by forcing the universities to go online.Despite many disadvantages in terms of socialization, face-to-face interaction, attention, and mental health, online teaching and learning provide many opportunities in terms of time management and personal development.This research is exploring the opportunities for the development of students' skills and creativity during the pandemic.A research model has been developed that analyzes the relationships between the quality of teaching, the quality of online activities, the stimulation of communication with the teacher and other students, and the opportunities for personal development.The model testing results show that the quality of online activities, measured in terms of stimulation, motivation, and attractivity, is the main predictor of the opportunities for skills and creativity development.
Key directions of development of the concept of formation of single federal personnel reserve of heads of the Russian Federation education system

The article considers certain areas that are key ones in the development of the Concept for the formation of single federal personnel reserve of principals of the Russian Federation education system (education management bodies of the regional and municipal levels): basic concepts, goals, tasks and principles for formation and use of single federal personnel reserve. These areas can be considered as intermediate results in the frames of the scientific research work «Scientific and methodological support for the formation and functioning of single federal personnel reserve of education system principals» in 2021.
The validity of coping skills learning media to manage negative emotions for children

Coping or problem-solving skills need to be trained from an early age. If the child does not have positive coping skills, it is feared that it can cause the child to become maladaptive and stressed. This research aims to test the validity of the learning media for coping skills to manage negative emotions for children aged 4-6. The learning media guidebooks and supporting products, such as posters, emoticon pictures for jumping activities, pictures of emotional expressions, story books, cartoon films, and children's activity sheets. This learning media has a novelty because it focuses on developing media based on children's coping skills that did not exist before. This research is quantitative. This research conducted expert validation to obtain validation and then analyzed quantitatively descriptively. The researcher calculated the validation results with Aiken's V formula. Based on the assessment results from experts, it can be concluded that the learning media for coping skills to manage negative emotions for children aged 4-6 years is declared valid. All items are considered valid because Vtable is 5% greater than Vcount. Guidebooks and supporting products for coping skills to manage children's negative emotions were declared valid and worthy of use for field trials
Some cardinality estimates for the set of correlation-immune Boolean functions

Abstract Estimates for the cardinality of the set of correlation-immune n -ary Boolean functions with fixed weight are obtained.
Group Sparse-based Discriminative Feature Learning for Face Recognition

The rapid development of facial recognition technology has brought great convenience to daily life, but also serious security risks, especially in the case of occlusion and loud noise. Faced with this limitation, this letter proposes a fast face recognition framework called a Group Sparse-based Discriminative Feature Learning (GSDFL-Net). Specifically, GSDFL-Net uses a novel unified objective function to simultaneously learn the discriminant features, sparse code and classification errors. In the proposed framework, the feature projection is incorporated into GSDFL-Net model, which reduces the classification errors. Then, we integrate denoising FFDNet into the proposed GS FL-Net model to penalize the noisy pixels, which is simultaneously learned by our unified objective function. Besides, we derive an optimization mechanism to encourage obtained learning parameters and decrease the information loss. Extensive experiments demonstrate the effectiveness of the proposed scheme under different including occlusion random noise conditions on the famous Aleix Martinez and ExYale B database.
A Study of Neural Machine Translation from Chinese to Urdu

&lt;div&gt;Machine Translation (MT) is used for giving a translation from a source language to a target language. Machine translation simply translates text or speech from one language to another language, but this process is not sufficient to give the perfect translation of a text due to the requirement of identification of whole expressions and their direct counterparts. Neural Machine Translation (NMT) is one of the most standard machine translation methods, which has made great progress in the recent years especially in non-universal languages. However, local language translation software for other foreign languages is limited and needs improving. In this paper, the Chinese language is translated to the Urdu language with the help of Open Neural Machine Translation (OpenNMT) in Deep Learning. Firstly, a Chinese&lt;/div&gt;&lt;div&gt;to Urdu language sentences datasets were established and supported with Seven million sentences. After that, these datasets were trained by using the Open Neural Machine Translation (OpenNMT) method. At the final stage, the translation was compared to the desired translation with the help of the Bleu Score Method.&lt;/div&gt;
Android Based Voice Activated Wheel Chair for Disabled

The aim of the project is to develop a wheel chair which can be controlled by voice of the person. It is based on the speech recognition model. The project is focused on controlling the wheel chair by human voice. The system is intended to control a wheel seat by utilizing the voice of individual. The structure of this framework will be particularly valuable to the crippled individual and furthermore to the older individuals. It is a booming technology which interfaces human with machine. Smart phone device is the interface. This will allow the challenging people to move freely without the assistant of others. They will get a moral support to live independently .The hardware used are Arduino kit, Microcontroller, Wheelchair and DC motors. DC motor helps for the movement of wheel chair. Ultra Sonic Sensor senses the obstacles between wheelchair and its way.
Visualization Use Cases

Visualization is the most potent means for LD consumers to analyze and explore a dataset. However, exploring and visualizing LD is not the same as exploring proprietary datasets. LD visualization is a particular task that differs from the classical data visualization since, usually, users do not have an a priori knowledge of the dataset and do not know if the dataset might be relevant for their goals. Visualizing LD means to handle several issues: the large size, and the dynamic nature of data, the requests for exploratory searches, the variety of tasks, and users.
Diskriminacija Roma pružanjem usluga društvnih mreža

Discrimination, together with poverty, is a major obstacle to the social inclusion of Roma people. When it comes to areas where discrimination is potentially committed, the most complaints are within the range of violations of the dignity of the person, or insult, threat or similar behavior that characterizes the person's verbal endangerment. Hate speech – making public statements that contains messages of hate or intolerance against a racial, national, ethnic, religious, sexual, or other social group or its members is often expressed on social networks. The authors present the legal basis for the protection of Roma people against discrimination, possible acts of discrimination on social networks, discuss the relationship between hate speech and free speech and the possible responsibility of social networks.
Patterns of Two-Year College Library Websites

Trends in website design among libraries of two-year academic institutions have been under-studied. These libraries are a unique population because they have different goals and challenges than other types of academic libraries. Data were gathered from the library websites of 264 randomly-selected, two-year, nonprofit colleges in the United States. The data were then analyzed to assess the frequency of multiple basic web design elements. Some were common across the sample, such as database lists, and some were infrequent, such as social media integration. The data also showed some relationships between features, for example the presence of a database list tended to be a good indicator of whether a website would have course guides or subject-specific research guides.
Model Compression for Resource-Constrained Mobile Robots

The number of mobile robots with constrained computing resources that need to execute complex machine learning models has been increasing during the past decade. Commonly, these robots rely on edge infrastructure accessible over wireless communication to execute heavy computational complex tasks. However, the edge might become unavailable and, consequently, oblige the execution of the tasks on the robot. This work focuses on making it possible to execute the tasks on the robots by reducing the complexity and the total number of parameters of pre-trained computer vision models. This is achieved by using model compression techniques such as Pruning and Knowledge Distillation. These compression techniques have strong theoretical and practical foundations, but their combined usage has not been widely explored in the literature. Therefore, this work especially focuses on investigating the effects of combining these two compression techniques. The results of this work reveal that up to 90% of the total number of parameters of a computer vision model can be removed without any considerable reduction in the model's accuracy.
Blind quantum factorization of 21

We develop a classically verifiable scheme for blindly factorizing the semiprime 21 quantumly for a classical client who does not trust the remote quantum servers. Our scheme advances state of the art, which achieves blind factorization of 15 quantumly, by increasing the problem to factorizing the next semiprime, choosing a harder base, executing a non-Clifford gate, and showing that the security check for 15 also works for 21. Our algorithmic approach to incorporating non-Clifford operations sets the stage for scaling blind quantum factorization, whereas our five-EPR-pair scheme motivates a photonic experiment that supplants current demonstrations of blind factorization.
Minimize surprise MAP-elites

Swarm robotics controllers are often automatically generated using methods of evolutionary computation with a task-specific fitness function to guide the optimization process. By contrast, our minimize surprise approach uses a task-independent fitness function to generate diverse behaviors over several independent evolutionary runs. Alternatives are divergent search algorithms rewarding behavioral novelty, such as novelty search, and quality-diversity algorithms generating diverse high-quality solutions, such as MAP-Elites. These approaches usually rely on task-dependent measures. We propose Minimize Surprise MAP-Elites, a task-independent MAP-Elites variant that combines MAP-Elites with our minimize surprise approach. Our first experiments result in high-quality solutions that lead to behavioral diversity across tasks and within tasks.
A chaotic parallel antlion optimization algorithm for feature selection

Feature selection is an important part of data preprocessing. There are currently three types of feature selection, namely filter, wrapper, and embedded feature selection methods. The latter is a combination of the former two. However, when the feature dimension is high and the amount of data is large, the filter method may not be able to extract a better subset, ignoring the interaction between the features, and the embedded algorithm has requirements for the learning model. Currently, wrapper algorithms face the problem of high computational overhead. The Spark platform based on in-memory computing has advantages in handling iterative tasks. Therefore, this paper proposes a chaotic parallel antlion optimization algorithm for feature selection (QPSALO) based on Spark, and conducts experimental comparisons on seven datasets. The results show that the QPSALO algorithm can improve the quality of candidate feature subsets while speeding up the execution.
CONTINUOUS ASSESSMENT OF STUDENT´S KNOWLEDGE USING LMS PLATFORM MOODLE

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 6043-6046ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.1423Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
IN-SERVICE TEACHER EDUCATION: A MODEL TO ADVANCE TEACHER KNOWLEDGE AND SKILLS OF TECHNOLOGY INTEGRATION IN TEACHING AND LEARNING

IN-SERVICE TEACHER EDUCATION: A MODEL TO ADVANCE TEACHER KNOWLEDGE AND SKILLS OF TECHNOLOGY INTEGRATION IN TEACHING AND LEARNING
DISTANCE LEARNING. FRIEND OR FOE?

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 6615-6618ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.1558Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
COMPETENCY BASED AND TECHNOLOGICALLY ENHANCED TEACHING AND LEARNING: COLLABORATIVE VIRTUAL ENVIRONMENT AND TUNING METHODOLOGY

COMPETENCY BASED AND TECHNOLOGICALLY ENHANCED TEACHING AND LEARNING: COLLABORATIVE VIRTUAL ENVIRONMENT AND TUNING METHODOLOGY
CART-PENDULUM PLATFORM IN CONTROL LEARNING IN ENGINEERING: FIRST STEPS TO CREATE ITS DIGITAL TWIN

Appears in: EDULEARN22 Proceedings Publication year: 2022Pages: 3027-3036ISBN: 978-84-09-42484-9ISSN: 2340-1117doi: 10.21125/edulearn.2022.0759Conference name: 14th International Conference on Education and New Learning TechnologiesDates: 4-6 July, 2022Location: Palma, Spain
Development of Performance Evaluation Indicators on MICE Integrated District using the Delphi method

This study aims to develop performance evaluation indicators to enhance the effectiveness of the ‘MICE Integrated District’ and lay the foundation for the initial settlement of it. Preliminary indicators were derived from relevant research and business plans of designated cities, and then in-depth interviews and 3-round Delphi surveys were conducted. As a result, 36 performance evaluation indicators were derived, which were classified into nine categories. This study is meaningful in preparing basic data to assess the performance of related projects of the MICE Integrated District for the first time. In addition, performance evaluation indicators derived from this study are expected to be used as guidelines for the revitalization of the MICE Integrated District. Moreover, this study suggests that activation strategies should be established from a mid- to long-term perspective to enhance the regional and national MICE competitiveness.
A Study on the Acceptance Attitude and Intention of Continuous According to the UTAUT Model Factors of Meeting Technology

In recent years, meeting technologies have been rapidly accepted and diffused into the worldwide MICE Industry. In this regard, this study aims to describe the technology acceptance factors affecting acceptance attitude and intention to continuously use meeting technology in the MICE industry, using the UTAUT(Unified Theory of Acceptance and Use of Technology) model. The survey was conducted on stakeholders in the MICE industry and a total of 264 valid responses were used for the analyses. The findings suggest that all the attributes of UTAUT excluding facilitating conditions have a positive relationship with an acceptance attitude. Also, a positive relationship was observed between the acceptance attitude and intention of continuously use. The findings will contribute to providing academic and practical implications for vitalizing the diffusion and the use of meeting technology, and furthermore, the development of the MICE industry.