Reviewerly/exHarmony huggingface dataset:
Action Recognition for Multiview Skeleton 3D Data Using NTURGB + D Dataset

Human activity recognition is a recent area of research for researchers. Activity recognition has many applications in smart homes to observe and track toddlers or oldsters for their safety, monitor indoor and outdoor activities, develop Tele immersion systems, or detect abnormal activity recognition. Three dimensions (3D) skeleton data is robust and somehow view-invariant. Due to this, it is one of the popular choices for human action recognition. This paper proposed using a transversal tree from 3D skeleton data to represent videos in a sequence. Further proposed two neural networks: convolutional neural network recurrent neural network_1 (CNN_RNN_1), used to find the optimal features and convolutional neural network recurrent neural network network_2 (CNN_RNN_2), used to classify actions. The deep neural network-based model proposed CNN_RNN_1 and CNN_RNN_2 that uses a convolutional neural network (CNN), Long short-term memory (LSTM) and Bidirectional Long short-term memory (BiLSTM) layered. The system efficiently achieves the desired accuracy over state-of-the-art models, i.e., 88.89%. The performance of the proposed model compared with the existing state-of-the-art models. The NTURGB + D dataset uses for analyzing experimental results. It is one of the large benchmark datasets for human activity recognition. Moreover, the comparison results show that the proposed model outperformed the state-of-the-art models.
Hybrid Dynamic Optimization for Multilevel Security System in Disseminating Confidential Information

Security systems are the need of the hour to protect data from unauthorized access. The dissemination of confidential information over the public network requires a high level of security. The security approach such as steganography ensures confidentiality, authentication, integrity, and non-repudiation. Steganography helps in hiding the secret data inside the cover media so that the attacker can be confused during the transmission process of secret data between sender and receiver. Therefore, we present an efficient hybrid security model that provides multifold security assurance. To this end, a rectified Advanced Encryption Standard (AES) algorithm is proposed to overcome the problems existing in AES such as pattern appearance and high computations. The modified AES is used for the encryption of the stego image that contains the digitally signed encrypted secret data. The enciphering and deciphering of the secret data are done using the Rivest–Shamir–Adleman (RSA) algorithm. The experiments are conducted on the images of the USC-SIPI standard image database. The experimental results prove that the proposed hybrid system outperforms other SOTA (state-of-the-art) approaches.
PISFOC: Proposal of the Personal Identification Method with Anti-Visual Hacking

Personal identifications are required to satisfy confidentiality, integrity, and availability. A password identification that one of the personal identifications is a memory-based personal identification which has not needed exclusive terminals, such as biometrics. However, password identification has 2 risks: (1) if an identification screen and keyboard input are peeped by someone, the password is leaked easier, (2) the long and random password that has strength of security is difficult to remember. This paper proposes that “PISFOC (Personal Identification System that Finding One person in Crowds),” a new memory-based personal identification system based on these problems. PISFOC is designed to have resistance to attacks that look into the identification screen and keyboard input. In addition, PISFOC’s user information that the user remembers and uses at the personal identification is easier than randomized 8 characters to remember. As a result of experiment measuring a resistance of visual hacking, attackers need 20 minutes at least to identify the user information. Furthermore, PISFOC’s user information is easier to memorize than randomized 8 characters.
Group theory behind Rubiks Cube

The Rubiks Cube is a widely recognized puzzle. The mathematics behind the Rubiks Cube is group theory. Group theory studies algebraic structures in mathematics such as groups, rings, and fields. The operation of the Rubiks Cube is rotation, which can be considered an operation of a group. The combination of two rotations of the Rubiks Cube can be considered the association of two operations of a group. The rotations and the combination operation of two rotations form a group called the Rubiks Cube group, and this paper presents the order of this group which is also the quantity of possible valid configurations of the Rubiks Cube. The valid configurations are the configurations that can be reached by a series of rotations from the starting configuration. This paper presents a method to illustrate the configurations of the Rubiks Cube, the requirements for making the configurations valid, and calculate the quantity of possible valid configurations.
The neuropsychological mechanism in loci memory using 7T fMRI

Memory has been a preoccupation of human civilization for centuries, and people have been searching for ways to increase its capacity and special memorisation methods tend to get more attention. Though efficient memory methods have always been a goal pursued by humans, the physiological nature still demands proper explanation. In this paper, a memory method called loci memorize is explored in the hope of obtaining a comparison of the level of activity in a particular region. This work utilized a 7T fMRI with a high resolution to unlock the neurological activity during quick memory of unordered numbers in eleven right-handed memory athletes. By designing a specific numerical memory task and initiating the task in two different groups of people, the coordinates of activated brain regions were located by analysing the degree of activity, with reference to the corresponding recall data. Results showed that brain activations associated with the loci memory were found in the middle cingulate, left precuneus, left supramarginal gyrus, left insula, left inferior frontal gyrus, left middle occipital, and right superior parietal lobule. These brain regions were more active in the group using loci memorise compared to that not using loci memorise under the same memory task. The preference for loci memory provides a possibility for the memory improvement. The work can be a reference of studying the memory mechanism in the neuropsychological science.
Digital Transformation in Education and Training in Vietnam

Digital transformation in Education and Training is an issue of concern in many countries. The explosion in information technology creates non-traditional training methods, vigorously promoting the development of profoundly transformative education for people. Digital transformation has contributed to improving the quality of management, teaching, and learning, an important factor for the education sector, and significantly impacts society in the immediate and long term. Therefore, Vietnam in general and the education and training sector in particular must urgently implement digital transformation requirements to take advantage of the opportunities the 4th Industrial Revolution brings. Through the actual situation, the article analyzes and evaluates the current situation, proposing solutions to complete digital transformation in the field of education and training in Vietnam today.
FEATURES OF THE IMPLEMENTATION OF MOBILE LEARNING IN THE LESSONS OF BIOLOGY AND ECOLOGY IN THE 10TH CLASS

The article explores the possibilities and features of using mobile learning in the process of studying biology and ecology by 10th-grade students. Taking into account modern trends in education and the widespread use of mobile devices among teenagers, the article analyzes the pros and cons of implementing these technologies in natural science lessons. The article considers how mobile devices can be used to increase students’ motivation to study biology and ecology through the use of interactive applications, virtual laboratories and video materials. The possibilities of using mobile devices to individualize learning and create a comfortable environment for students’ independent work are also updated.The relevance of the relevant topic is that the modern educational space is rapidly developing under the influence of innovative technologies. Thanks to digital transformation, we are witnessing changes in the ways of learning and imparting knowledge. One such innovation is mobile learning, which is becoming increasingly relevant and popular in educational institutions around the world. Justifying the issues related to the implementation of mobile learning in biology and ecology lessons in the 10th grade, its essential characteristic is the consideration of a number of important aspects and issues, such as: the effectiveness of mobile learning, technological access, student motivation and pedagogical approaches.The purpose of the article is to consider the main aspects of the implementation of mobile learning in the lessons of biology and ecology in the 10th grade. Letʼs try to determine what features and advantages the use of mobile technologies has in the educational process. Achieving the set goal will help teachers and students to more effectively use modern means of communication and mobile technologies to enrich the process of studying biology and ecology.&#x0D; Keywords: mobile learning (m-learning); mobile technologies; mobile applications; internet environment; education; technology; “bring your own device”, application; educational process; natural Sciences.
METHODICAL WORK OF THE TEACHER AS A COMPONENT OF THE EDUCATIONAL AND PROFESSIONAL PROGRAM «SECONDARY EDUCATION (COMPUTER SCIENCE)»

The purpose of the article is to determine the content and functions of the methodical work of an informatics teacher, justifying the need to reflect it in the cycle of professional training courses of the Secondary Education (Informatics) educational and professional program. Research methods: bibliosemantic (analysis, generalization of scientific and theoretical information for the purpose of studying the problem); system-analytical (analysis through synthesis, reasoning by analogy to present the main material); sociological (questionnaires of fourth-year students, observation of their studies, study of results); statistical methods (analysis and systematization of experimental data, their visual representation). The article considers the methodical work of a computer science teacher as a component of professional activity, defining it as a system of interrelated and interdependent actions aimed at competent goal setting, planning and organization of the educational process in computer science, as well as at increasing personal creativity and professional skills. The article presents the results of a survey of bachelors at the stage of graduation from a higher education institution regarding their ability and willingness to perform the methodological work of a teacher during: analysis of the pedagogical situation; designing teacher actions and students' learning and cognitive activities; using teaching tools, forms and methods; creating information projects. 72% of students surveyed believe that they are well prepared for the methodological work of a teacher, but could be better; 15% believe they are well prepared, while 6% and 7% believe they are «poorly prepared» and «not prepared». The methodological work of the teacher should be reflected as widely as possible in the educational and professional program «Secondary Education (Informatics)», in particular in the results of student learning, in the selection of disciplines, and in the creation of a professionally oriented learning environment. It is necessary to focus students on knowledge of the subject area, making informed decisions about the organization of computer science lessons, the use of innovative teaching methods and technologies, etc. The functions and principles of methodical work are outlined, based on the school course of computer science, computer science methods, didactics, pedagogy. Its purpose is formed from the goals of education and study of computer science, means – from the principles and content of pedagogical activity, and results – from the purpose and tasks of designing, organizing and implementing the process of studying a certain content area of computer science. Methodological work should be pedagogically appropriate in execution, creative in content, and balanced in the choice of teaching methods and tools.
METHODICAL BASIS OF THE CONDUCTING CHORAL ACTIVITY BY FUTURE TEACHERS OF MUSIC ART

The disciplines of the conducting and choral cycle play an important role in the system of training the future music teacher, in particular choral conducting and choral class. Conducting a choral training team is a complex process, which consists in the development of auditory ideas, their implementation in specific sounding, auditory verification and correction. The effectiveness of conducting and choral activity depends on the complex application of methods that complement each other and contribute to the formation of a highly qualified and creative specialist. The methods of conducting and choral work are a set of methods of conducting activity used by the head of the choral ensemble to achieve the set goals in creative work with the choir.The basis of conducting and choral activity is a methodical system based on the mastery of the conductorʼs technique and method of working with the choral, as well as the mastery of the choir membersʼ vocal and choral technique of performing choral works. The method of conscious education of muscular freedom movement, which is based on self-awareness and self-knowledge of the individual, becomes important in the process of formation conducting technique. The auditory-muscular method of forming the conducting technique establishes a connection between hearing and the conducting apparatus. The method of associative perception is used for the effective formation of conductorsʼ inner sense of choral sound skills.So, the main methods of conducting choral work with a choral include: the method of presentment, verbal explanation, imitation, emotional influence, the method of conscious interaction between performers and the conductor, stimulation, problem method, exercise method, score analysis, rehearsal method. The usage of methodical techniques, which are the components of the chosen methods, ensures the implementation of the assigned tasks in the lesson. The choice of methods and methods of conducting and choral work depends on the specific conditions of the class, the level of performers training, the complexity of the work, etc. The creative contact with the choir depends on how clear and correct the conductorʼs methods and techniques will be, and how accurately they will reflect the artistic features of the music, and hence the brightness and inspiration of the performance.&#x0D; Keywords: choral conducting; conducting technique; choir class; choir conductor; choir; methodical system; methods of conducting and choral work; methodical techniques.
Multi-scale Dual-Attention-Based U-Net for Breast Cancer Segmentation in Ultrasound Images

Ultrasound imaging is a significant and valuable assistant in reducing breast cancer mortality rate. It has high sensitivity, considered safe and cost-effective. This excellent performance caused the development of a sudden and growing interest in segmenting the breast ultrasound images to distinguish the abnormalities in them. However, this is a very challenging task due to the noisy nature of these images. This paper proposed a Multi-scale Dual-Attention based U-Net framework (MDAU-Net) for automatic breast ultrasound segmentation to address this issue. Our developed framework enhanced the quality of the extracted features by integrating different techniques such as multi-scale input representation, channel attention, spatial attention, blended attention, hybrid pooling and dilated convolutions. The experimental results and the comparison of the proposed model with the state-of-the-art segmentation methods on the well-known widely-used public ‘Dataset B’ demonstrate the effectiveness and competitiveness of the proposed algorithm.
Conceptual Framework for Blockchain Business Success Factors with Fuzzy Analytic Hierarchy Process Model

Blockchain technology is gaining popularity globally, and adoption is on the rise in Malaysia. The success of blockchain business in Malaysia depends on many key factors. By identifying the most influential factors, businesses can make informed strategic decisions that improve their chances of success in the market. Policymakers can also benefit from this research as it can guide them in creating an enabling environment for the growth and advancement of the blockchain industry in Malaysia. As a result, critical success factors are needed to be determined in order to accelerate the implementation of blockchain in organizations. Thus, a conceptual framework to identify the business success factors by using the Fuzzy Analytic Hierarchy Process model is proposed in this study. This research study is significant as the business success factors can be determined by the conceptual framework based on the Fuzzy Analytic Hierarchy Process model. The identification of business success factors for implementing blockchain is very crucial as it can guide policymakers and practitioners in comprehending the significance and importance of business success factors. Hence, viable strategies can be developed to make blockchain technology adoption in various sectors becomes successful.
SIMULATION MODEL OF MULTI-CHANNEL INTERSECTORAL TRANSFER OF BEHAVIOURAL ATTRACTORS FOR MACROECONOMIC STABILITY OF THE COUNTRY

Purpose. The purpose of the research is to develop a cognitive model of the behaviour of the social and economic system, which explains the causal mechanism between the development of the financial and public sectors using the concept of trust. Methodology of research. The research utilized general scientific methods, including dialectical analysis and synthesis, to determine the main variables of the model. The fuzzy Delphi method was employed to transform linguistic variables and determine the weight of each variable. FCM analysis facilitated the translation of the complex model's graphical representation into a mathematical form of the adjacency matrix, enabling algebraic calculations to identify various structural characteristics of the built model of multi-channel intersectoral transfer of behavioural attractors for macroeconomic stability of the country in the Mental Modeler software. Findings. The study identified 21st concepts related to the functioning of the financial and public sectors of the economy, enabling the construction of a cognitive map illustrating the cause-and-effect relationships between financial and public sectors within the context of trust among social and economic and behavioural variables. The research found that government policies, central bank policies, and exchange rate stability have the greatest impact on macroeconomic stability. On the other hand, concepts such as financial literacy, positive previous experience, saving time spent on service provision, and service failure are easily manageable but do not have a significant impact on macroeconomic stability. Trust in the financial sector and the government were proven to be key variables in ensuring macroeconomic stability, but also extremely difficult to manage. Originality. The study proposes a simulation model of the multi-channel intersectoral transfer of behavioural attractors for the macroeconomic stability of a country, considering the simultaneous influence of trust in the government and trust in the financial sector. Practical value. Weighty concepts based on research results can be useful for domestic scenarios of ensuring financial and macroeconomic stability in the country. Also, the results are of scientific value for further research and exploration. Key words: trust in the financial sector, trust in the government, macroeconomic stability, financial stability, simulation modelling, Delphi method, Mental Modeler
An emotion-aware search engine for multimedia content based on deep learning algorithms

Nowadays, large amounts of unstructured data are available online. Such data often contain users' emotions and feelings about a variety of topics but their retrieval and selection on the basis of an emotional perspective are usually unfeasible through traditional search engines, which only rank web content according to its relevance with respect to a given search keyword. For this reason, in the present work we introduce the architecture of a novel emotion-aware search engine that can return search results ranked on the basis of seven human emotions. Using this system, users can benefit from a more advanced semantic search that also takes into account emotions. The system uses emotion recognition algorithms based on deep learning to extract emotion vectors from texts, images and videos and then populates an emotional index to allow users to visualise results related to given emotions. We also discuss and evaluate different deep learning models for building emotional indexes from texts, images and videos.
PENGARUH KECERDASAN EMOSIONAL DAN MOTIVASI TERHADAP PRESTASI BELAJAR PADA SISWA KELAS V SDN 006 TERPADU KUBANG JAYA KAMPAR

This research was motivated by problems regarding student learning achievement. This research aims to determine whether there is an influence of emotional intelligence and learning motivation on the learning achievement of Class V students at SDN 006 Terpadu Kubang Jaya, Kampar Regency. This type of research uses a quantitative approach with an ex post facto research design. The population of this research is class V, totaling 32 students. Meanwhile, this research sample used a purposive sampling technique. Data collection techniques use questionnaires and documentation. Instrument testing uses validity and reliability. The data analysis technique uses descriptive analysis and prerequisite tests, namely normality test, linearity test, hypothesis testing in the form of multiple linear regression tests using the conditions Ha is accepted and H0 is rejected. Based on data processing research results, there is an influence of emotional intelligence and learning motivation on learning achievement of 43.9%.