Reviewerly/exHarmony huggingface dataset:
How Long short-term memory artificial neural network, synthetic data, and fine-tuning improve the classification of raw EEG data

In this paper, we discuss a Machine Learning pipeline for the classification of EEG data. We propose a combination of synthetic data generation, long short-term memory artificial neural network (LSTM), and fine-tuning to solve classification problems for experiments with implicit visual stimuli, such as the Necker cube with different levels of ambiguity. The developed approach increased the quality of the classification model of raw EEG data.
Increasing the security of web applications by using smartphones

The web applications security systems often use the authentication strategy and credentials to assess the identity of the user. Based on the credentials, the system is able to claim the identity of the user. Also, the authenticity of identity is claimed based on authentication strategy. This paper analyzes and compares different strategies used to enforce the web applications security systems by using location and biometric features of the smartphones to provide two-way authentications.
Development of a Network Camera with a Built-in Mask and QR Code Recognition Function

Therefore, in different environments and places, we can use the network camera of the video surveillance system to detect whether people are wearing masks, and scan the OR code to obtain their information. Based on the collection and analysis of scene data by network cameras, this paper adopts a deep learning method, that is, the detection of mask wearing conditions can be realized through training on the face data of labeled masks, and this technology is combined with QR code recognition technology. It is also built into the network camera. In the current context, the research of this technology has very important value and significance for epidemic control during this period. Due to the outbreak of covid 19 in 2019, in order to prevent the epidemic, this article designed a network camera with a built in mask and QR code recognition function for video surveillance and access control system development.
Determining the Focal Length of a Video Camera Using a Calibration Pattern

The article discusses a method for determining the focal length of a video camera lens using a calibration pattern in the form of a checkerboard. Methods for determining the focal length of the lens are considered. An analysis of methods for measuring the focal length of a lens (magnification method, Fabry-Yudin method, goniometric method) showed that additional optical systems must be used in these methods. A method for determining the focal length of a video camera lens is proposed. It is shown that the results obtained by the proposed method are close to the focal lengths of the camera lenses.
Hierarchical multi-user virtual reality in serious applications

In this paper, we address the issue of defining basic properties and their testing for multi-user virtual environments in virtual reality based on the hierarchical principle, which can be used in serious applications in education, industry, or healthcare. Methods of movement, manipulation of objects, use of user interfaces, camera modes of users and their avatars, haptic response, and sound propagation are defined. As part of the testing, we focused on usability when using diegetic and non-diegetic user interfaces for the master user, on the use of the camera observe mode for the master user, and on testing the manipulation of rigid bodies and elastic objects with two users in the scene.
Weinberg and DMO sum rules

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Analisis Kompetensi Literasi Informasi Siswa MAN 2 Langkat Dalam Pengembangan Minat Dan Bakat

ABSTRAK Penelitian ini bertujuan untuk mengetahui kompetensi literasi Informasi dalam proses pengembangan minat bakat siswa berbasis model empowering 8. Penelitian ini dilaksanakan di MAN 2 Langkat. Metode penelitian yang digunakan ini adalah metode kualitatif dan triangulasi data (observasi, FGD, dan dokumentasi) dalam proses pengumpulan data. Hasil penelitian ini menunjukkan siswa MAN 2 Langkat secara garis besar telah menerapkan komponen model literasi empowering 8 dalam pengembangan minat dan bakatnya. Kendati demikian, terdapat kekurangan beberapa langkah yang terdapat dalam komponen model empowering 8 yang belum dilaksanakan, hal ini mendorong penguatan program kegiatan literasi informasi di sekolah untuk membentuk siswa yang mampu mengeksplorasi informasi secara efektif serta menggunakan informasi secara etis, sehingga karya, konten, dan informasi baru yang dihasilkan dapat menjadi lebih berkualitas. ABSTRACT This study aims to determine the competence of information literacy in the process of developing students' interest in talent based on the empowering 8 model. This research was carried out at MAN 2 Langkat. The research method used the qualitative method and data triangulation (observation, FGD, and documentation) in the process of data collections. The results of this study indicate that the students of MAN 2 Langkat have generally applied the components of the empowering 8 literacy model in developing their interests and talents. However, there is a lack of several steps contained in the components of the empowering 8 model that have not been implemented, this encourages the strengthening of information literacy activity programs in schools to form students who are able to explore information effectively and use information ethically, so that creation, content, and information produced can be of higher quality.
Bi-Directional Inter-Prediction For Geometry-Based Point Cloud Compression

Efficient 3D point cloud compression plays critical role in immersive multimedia presentation and autonomous driving. The temporal redundancy between consecutive point cloud frames is obvious, but the exploration of inter-prediction is insufficient in the geometry-based point cloud compression (G-PCC) framework. In inter exploration model (Inter-EM) of G-PCC, the reference information can only come from one previous frame and a consistent quantization parameter (QP) value is used for all frames. To perform a more efficient inter-prediction for geometry and attribute, a bidirectional inter-prediction (bi-prediction) scheme is proposed for G-PCC based on Inter-EM. With the bi-prediction scheme, the reference information can come from two reference frames. For attribute compression, neighboring search is started from one search center derived by a Morton code distance and a two-threshold method is applied to constrain inter-prediction. Meanwhile, the dependencies between frames are designed according to a hierarchical group of frames (GOF) structure with corresponding hierarchical QP values. Experimental results demonstrate that our method outperforms G-PCC and Inter-EM for both lossless and lossy compression. More specifically, the average coding gain over G-PCC is 14.1% on attribute and 11.8% on geometry under lossy condition. The designs on attribute compression have been adopted to the latest Inter-EM.
Building personalized virtual networks of care with the ADel electronic home assistant for older adults

Purpose Technologies to age in place must be personalized to meet the changing reality of aging and to respond to individual needs.A variety of technology applications can be used to help those with chronic conditions to remain at home, provide support to family caregivers at work or at a distant location, check on the status or activities of their loved ones, and enhance access to information and community resources including formal and informal support services (Czaja, 2016).ADel (Assistante Domestique électronique) is an Electronic Domestic Assistant developed in Quebec (Canada) by SoftBiomed to help older adults build personalized virtual networks of care including their family caregivers and healthcare professionals.ADel is an application provided in an electronic tablet with a locked mode (kiosk mode) to family caregivers and clinicians (Figure 1) and a cellphone application to be downloaded by family caregivers (Figure 2).With ADel, it is possible to customize contacts to make video calls, personalize medication and appointment reminders, and services (e.g., meal delivery and community services).With a panic button and a fall detector integrated into a watch, it provides peace of mind to older adults and their family caregivers.The objective of this pilot study is to explore the feasibility, usability, and user satisfaction of ADel from the perspectives of older adults returning home after a hospitalization, family caregivers, and clinicians being part of a personalized network of care.Methods Participants include 10 older adults without neurocognitive impairment returning home after a hospitalization, 10 family caregivers, and two clinicians.Data on feasibility (semi-structured interview), usability (System Usability Scale), and users' satisfaction (Visual Analog Scale) are collected at one and two months of use of the technology at home.A steering committee with different stakeholders informs the project from the beginning to anticipate any technical, human, cultural, logistical barriers, and facilitators.Results and Discussion The pilot study will allow sharing of expertise between different stakeholders to inform the improvement of this technology across the continuum of care.ADel has the potential to be implemented in individuals with minor and major neurocognitive disorders, older adults living with chronic health conditions, and palliative care.The results will help to improve and adapt this technology according to the older adult's cognitive and physical health status, provide a technological solution to support home care, and prevent social isolation during the current pandemic (Daly et al., 2021).As the degree of usefulness of these technologies impacts positively elderly people's intention to accept their usage (Etemad-Sajadi & Gomes Dos Santos, 2019), this pilot study will certainly provide insights into ADel's positive impact.
A Translation Study on Image Publicity Film of Hunan under the Background of “The Belt and Road” Initiative

Taking This is Hunan as an example, this study analyzes its subtitle translation and how it constructs the image of Hunan from four levels of culture, context, content and expression under the guidance of multimodal discourse analysis. The study found that the source language of the film has a strong discourse logic. The translation adopts free translation, omission and other translation strategies to reproduce the beauty and artistic conception of the language; visual and auditory symbols are used to match the lens at all levels to supplement and strengthen the language symbols of the source language, arousing audience's sensory impact; all levels are interconnected and supplemented to build a youthful, harmonious and colorful image of Hunan.
A statistical estimation of the coupling between objectmetric for open-source appsdeveloped in Java

The coupling between objects along with other metrics, is used for evaluating the faults, vulnerabilities, and other quality indicators in software systems, including open-source ones. It is known, that a coupling between objectsvalue between oneand fouris good. However, there are apps in Java for whichthe coupling between objectsmetric value atan app level is greater than four. That is why, in our opinion, the above interval for coupling between objectsneeds to be clarified for the app level. To find the recommended values for the coupling between objects mean of an app we have proposed to apply the confidence and prediction intervals. A coupling between objectsmean value of an app from the confidence interval is good since this interval indicates how reliable the estimate is for all apps. A coupling between objectsmean value higher than an upper bound of the prediction interval may indicate that some classes are too tightly coupled with other ones in the app. We have estimated the confidence and prediction intervals of the coupling between objectsmean using normalizing transformations for the data sample from one hundredopen-source apps developed in Java hosted on GitHub. Comparisonwith the coupling between objectsmean values of three popular open-source apps developed in Java illustrate the applicability of the proposed quality indicators in the form of the confidence and prediction intervals of the coupling between objectsmean.
The Main Dimensions of Human Resource Management and its Role in the Efficiency and Development of Administrative Performance in Industrial and Productive Companies in the Republic of Yemen

The study aims to identify the role of the main dimensions of human resources in the administrative performance of medium-sized industrial companies in the Republic of Yemen. The researcher used the descriptive and analytical approaches to achieve the objectives of the study and to test its hypotheses in the main dimensions of human resource management (selection and appointment, training, salaries and incentives, and evaluation. A questionnaire was used on (3) related axes. The five-point Likert scale, the statistical package (SPSS) and other statistical methods (weighted mean, standard deviation, regression analysis) were used. The average number of industrial companies in the Republic of Yemen consisted of (7) medium industrial companies. The study sample was selected from human resources departments and their administrative units in industrial and production companies. A total of 153 employees (managers and workers in all departments was targeted. The findings show that the targeted medium industrial companies are interested in the human element by rehabilitating, developing and improving their capabilities and their performance. However, there is sometimes a bias in the selection and appointment process while salaries and wages are fairly good in the industrial companies under study. The study recommended the need to follow integrity and transparency in the selection and appointment process and promote qualification and training of workers at the companies. In addition, permanent evaluation of employees performance process is required.&#x0D; Keywords: Human Resource Management - Selection and appointment - Salaries and incentives- Training and evaluation - Republic of Yemen.&#x0D; &#x0D;
Food-For-All Web Application for Donation Management

Food is a vital need for all human beings. But in the current society, many people cannot afford or fulfill their daily food requirements. Many people want to help people who are in hunger, but the problem is there isn’t a good and trustworthy platform to get information and connect the donator and the receiver that is available for Sri Lanka. The application's main purpose is to bring together individuals who have excess assets and liabilities and are eager to give back to the community to help those who are in need and willing to accept help and also provides a platform to post about those in need of food and other related things. Another advantage of this system is that it allows organizations to create funds within the system and raise funds for their charitable projects related to food insecurity and improving agriculture. The system always tries to avoid fake and fraudulent donations and requests by asking the approval of the admins. It also helps in improving the reliability and the trustworthiness of the users of the system. For an example organizations need to be verified by the admin to use the system. Also, each fundraiser program created by the registered organization will be reviewed by the admin before publish it in the system.
The The Efficiency of Hybridised Genetic Algorithm and Ant Colony Optimisation (HGA-ACO) in a Restaurant Recommendation System

A recommendation system (RS) is used to provide recommendations to users by filtering items based on given inputs. Metaheuristic algorithms such as Genetic Algorithm (GA) and Ant Colony Optimisation (ACO) are known to be used in many RS to provide optimal and good recommendations. Both algorithms are designed based on nature-inspired events, where GA is designed based on the natural evolution process while ACO is based on ants’ behaviour in their natural habit. In this paper, both GA and ACO algorithms were implemented in a restaurant RS and evaluated by using the restaurant’s attributes, which was then followed by a list of recommended restaurants as the output. With the highest score of 99.64% of accuracy, GA overtakes ACO in terms of recommendation accuracy while ACO computed 67.12% lesser runtime than GA. Considering the results acquired, a new hybrid framework known as the HGA-ACO algorithm was proposed. The proposed HGA-ACO has a recommendation accuracy of 99.57% and achieved a 31.37% runtime reduction from GA. Thus, the proposed framework was observed to have improved the output accuracy of ACO and improved the processing time in GA, thus, improving the overall efficiency of the RS.
Use of mixed reality for the training of operators of mobile elevating work platforms with the aim of increasing the level of health and safety at work and reducing training costs

The article presents an immersive multisensory simulator developed in a project co-financed by INAIL (the Italian Workers' Compensation Authority) as part of a collaborative research program for the application of innovative technologies and systems to the management of health and safety at work. Specifically, the program provides for the development of simulators for the structuring of skills qualification paths for operators in charge of running and maintaining the most dangerous work equipment. The simulator we present reproduces all the aspects that contribute to a complete driving experience of the simulated machine in an artificial working environment that replicates typical and atypical operations and hazards involved in the use of self-propelled mobile elevating work platforms (MEWPs) with an extendable articulated boom. The simulator has been designed following the analysis of the most critical working routines with aerial work platforms and using physical components of a real MEWP combined with immersive Virtual Reality technologies. The use of Extended Reality technologies to simulate challenging work scenarios makes it possible to train operators by confronting them with very risky situations without any real danger, both in terms of damage to machinery, and above all in terms of user’s safety. The presented simulation system has been designed as a high-TRL prototype to demonstrate the feasibility of developing training programs in the context of occupational safety and health, based on a mixed-reality simulator targeting MEWP operators and verifiers.
Application of NLP Using Graph Approaches

This chapter explores a variety of natural language processing (NLP) applications that use a graph-based approach. Since this field has been burgeoning over time, the chapter explores a non-exhaustive list of applications that range from text summarization, semi-supervised passage retrieval, topic identification, keyword extraction, cross-language information retrieval, and discourse to machine translation, information extraction, term weighting, and question answering. Each section will provide a detailed view of all the specified approaches with insightful figures and flow diagrams to make it easier for the reader to grasp the valuable information about the sub-topics. As the section correlates the topics with real-world applications, there are various permutations and combinations which can be applied to the topics. Some applications may not be directly implemented, but can be theoretically assumed to be true. Each application that is considered in this chapter is essential to understanding the detailed workings of NLP. The chapter gathers abundant information from eclectic resources. It also attempts to correlate the sub-topics of NLP using graphical methodologies in industrial applications. Subsequently, the book strives to extrapolate the answers - where these applications are being used, why these approaches are being adopted, and how each use case is being implemented.
INCLUSIVE MUSIC EDUCATION: PERSPECTIVES AND PROBLEMS

If you can fill the unforgiving minute&#x0D; With sixty seconds' worth of distance run,&#x0D; Yours is the Earth and everything that's in it,&#x0D; And – which is more – you'll be a Man, my son!"&#x0D; ("If" by Rudyard Kipling)&#x0D; The article is devoted to the topic of introducing inclusive education in Ukrainian art institutions. The historical background of the genesis of the phenomenon of inclusion in society is presented, as well as a description of the state of art education during the Soviet totalitarianism. It is noted that inclusion in art is a synthesis of a number of components, among them relevant are: legislation (national and international), historical background, mental features, socio-cultural context. The content of inclusive education in art schools and specialized music schools operating at conservatories is also considered. Attention was drawn to the problems of implementing inclusion in such educational institutions, because just a few years ago, such a model of education with its equal opportunities and barrier-free access was not a priority and was not even considered. It is noted that the new paradigm in general (and, in particular, in art education) is a complex system of knowledge in pedagogy, medicine, psychology, which is necessary for the integration and adaptation of a special contingent of people into society.&#x0D; One of the pedagogical art programs for working with children with disabilities in educational institutions, created by direct participants in the educational process – music teachers of one of the regional art schools, was presented. It is noted that the document approves the education system for children with special educational needs as vertical-horizontal (in fact, the usual simple Descartes coordinate system), because the level of the program takes into account the age qualification of the applicant (child) and is directly related to the psychophysical development of the applicant. The main provisions, goals and principles, directions of implementation of the "Concept of inclusive art education" are also outlined, which cover the entire spectrum of this paradigm in education.&#x0D; The article highlights the non-institutional form of inclusion in art: festivals, creative competitions. It is noted that this form of entry of a child into society is no less important than the actual education in educational institutions.&#x0D; The study uses empirical research methods: observation, synthesis, and analysis.&#x0D; The paper concludes that the needs of society (including the humanization of education, Ukraine's attempts to join the European community), which required urgent solutions, created a situation in which professionally high-quality personnel of art educational institutions were psychologically unprepared to work with children with special educational needs. That is why the presented work indicates that the teaching staff prepared for specific working conditions is the primary link, the basis for further successful development of inclusion in art education.
Comparison of the Effects of Physical Activity in Elderly Women and Medicine Use: Short Communication

Gerontology & Geriatrics Studies Comparison of the Effects of Physical Activity in Elderly Women and Medicine Use: Short Communication Martins RF, Leite MO and Machado M* Universidade Iguaçu, Brazil *Corresponding author:Marco Machado, Universidade Iguaçu – Campus V, BR356, Km02, Itaperuna, RJ, Brazil Submission: September 06, 2022; Published: October 28, 2022 DOI: 10.31031/GGS.2022.08.000678 ISSN 2578-0093Volume8 Issue1