Reviewerly/exHarmony huggingface dataset:
Professional Training of Specialists in Audio-Visual Art: Problems and Prospects

The development of screen arts was a consequence of the synthesis of science and art, becoming part of the global system of technogenic arts. Various forms of on-screen creativity, such as cinema, television, video, digital art, interact more closely, both with each other and with conventional forms of cultural activity. The specificity of art, built on sound and visual images, lies in the artistic delivery of a world picture and the creation of screen works using optical, analogue, or digital systems. To study existing programmes and develop a training model for such specialists, the following study was carried out. The theoretical and methodological framework of the study included the general scientific principles of pedagogical research, the practical part included analysis and an experimental method of teaching and observation. The positive dynamics in the development of the subject competence of future specialists in the field of audio-visual arts testified to the effectiveness of the introduction of contextual technologies.
Sample Size and Test Length for Item Parameter Estimate and Exam Parameter Estimate

The Item Response Theory (IRT) model contains one or more parameters in the model. These parameters are unknown, so it is necessary to predict them. This paper aims (1) to determine the sample size (N) on the stability of the item parameter (2) to determine the length (n) test on the stability of the estimate parameter examinee (3) to determine the effect of the model on the stability of the item and the parameter to examine (4) to find out Effect of sample size and test length on item stability and examinee parameter estimates (5) Effect of sample size, test length, and model on item stability and examinee parameter estimates. This paper is a simulation study in which the latent trait (q) sample simulation is derived from a standard normal population of ~ N (0.1), with a specific Sample Size (N) and test length (n) with the 1PL, 2PL and 3PL models using Wingen. Item analysis was carried out using the classical theory test approach and modern test theory. Item Response Theory and data were analyzed through software R with the ltm package. The results showed that the larger the sample size (N), the more stable the estimated parameter. For the length test, which is the greater the test length (n), the more stable the estimated parameter (q).
Using of ix(iStar) 2.0 for Improving the Use Cases Derivation

The process of deriving use cases from organizational models built using the i * framework has been presented in previous works. However, the guidelines used to derive use cases are based on the elements of the original version of i *. More recently, the new version i * 2.0 has been proposed incorporating important changes which must be evaluated in relation to their impact on the use case derivation process. In this work, this evaluation is carried out, the guidelines modified and applied to an example showing the improvements obtained.
FORMS OF EXISTENCE OF LAW IN THE PEDAGOGICAL THEORY AND PRACTICE OF AS MAKARENKO

The article deals with the problem of using the experience of AS Makarenko in modern educational practice, in particular, the legal education of children and youth. A.S. As a teacher, Makarenko left a lot of evidence of how juvenile delinquents became law-abiding citizens. From these positions, the forms of existence of law, reflected in its theoretical and practical heritage, are of considerable interest for the implementation of effective educational impact on young people.In the context of the children's team, whose members were freed from anarchic, criminal in many ways on the basis of upbringing and education, such forms (levels) of law as legal consciousness (awareness of the need to coexist on legal grounds) can be traced; legal norms - orderly rules that everyone who did not want to be outside the human community was forced to follow; legal relations - a system of relations that, providing the requests of the individual, did not contradict the most universally recognized requests of the whole community.The author concludes that analyzing the experience of A.S. Makarenko and considering the law as an order of social relations, which is manifested in the actions and behavior of people, we observe in the institutions headed by a prominent teacher, the personal progress of students as conscious subjects of legal relations. There is reason to conclude that this process reflects the main goals and means of Makarenko's educational system as such and further study will reveal more generalized, and therefore important for today's conditions, pedagogical principles of legal education of children and youth.
Army Dock, Konstruksi Bangunan Pendaratan Sekutu Pada Perang Pasifik di Pulau Morotai

The Pacific War, it is a sad history of humanity for most people, especially war veterans. Their stories passed on to the younger generation, many stories and tales were recorded: starting from preparations for war, war strategies, the course of war and the liberation of a colony from invaders is interesting to listen to. Army dock is one of the remnants of the Pacific War on Morotai Island which is an important part of the history. It’s existence not only describes the Allies landing process to liberate the island from Japanese rule, it is also a historical source of Indonesia's involvement in the Pacific War arena. It is possible, because the Allies and the Japanese took advantage of the natural resources of Morotai Island to build various infrastructure needed for war, including the Army dock. The army dock was built composition of building materials by utilizing existing materials in the coastal areas of the island, namely limestone reef. This initial step of the Allies strategy finally succeeded in liberating Morotai Island from Japanese occupation, from here later grew the construction of other military facilities and infrastructure that were built to prepare to retake the Philippine island of Mindanao, the largest military base outside Japan. How the Army dock was built and its function in the past, is a problem that will be answered in this paper. In order to answer these problems, the observation method is used through field surveys and library data searches.
Examining the Effect of the Ratio of Biomedical Domain to General Domain Data in Corpus in Biomedical Literature Mining

Biomedical terms extracted using Word2vec, the most popular word embedding model in recent years, serve as the foundation for various natural language processing (NLP) applications, such as biomedical information retrieval, relation extraction, and recommendation systems. The objective of this study is to examine how changes in the ratio of the biomedical domain to general domain data in the corpus affect the extraction of similar biomedical terms using Word2vec. We downloaded abstracts of 214,892 articles from PubMed Central (PMC) and the 3.9 GB Billion Word (BW) benchmark corpus from the computer science community. The datasets were preprocessed and grouped into 11 corpora based on the ratio of BW to PMC, ranging from 0:10 to 10:0, and then Word2vec models were trained on these corpora. The cosine similarities between the biomedical terms obtained from the Word2vec models were then compared in each model. The results indicated that the models trained with both BW and PMC data outperformed the model trained only with medical data. The similarity between the biomedical terms extracted by the Word2vec model increased when the ratio of the biomedical domain to general domain data was 3:7 to 5:5. This study allows NLP researchers to apply Word2vec based on more information and increase the similarity of extracted biomedical terms to improve their effectiveness in NLP applications, such as biomedical information extraction.
Re-Visiting Cyber Security Training in the COVID-19 Era

Cyber security training, as many other aspects in our lives, has been adapted to address concerns related to travel restrictions and group gatherings resulting from the COVID-19 pandemic. In this context, ENISA, the European Union Agency for Cybersecurity, had to re-visit and signiﬁcantly modify its already established course on Information Security Management and ICT security, which is provided under the auspices of the European Security and Defence College (ESDC). The program provides public employees the opportunity to gain the necessary knowledge and skills to assume an Information Security Management role. The restructured course was introduced to address the COVID-19 restrictions and has proven to be equally eﬀective to the classroom-delivered course, if not more eﬀective at some parts. This paper presents the main structure of the fully online training, its innovative elements, and the assessment results which prove that COVID-19 pandemic has triggered the introduction of innovative and successful on-line training scenarios.
Methodological Support of Professional Activity of Pedagogues upon Preschool Children Remote Studying

This article is about finding special features of professional pedagogical activity in the process of preschool children remote studying within the new contexts. For that purpose, modern trends of remote education in the system of general education have been studied based on the analysis of scientific psychological and pedagogical literature. The content of methodological support of professional activity of pedagogues upon preschool children remote studying and check of its efficiency in overcoming occurring professional difficulties of pedagogues is definite and grounded. With that purpose, practices of methodological support of pedagogues upon preschool children remote studying were analyzed; reasonability of organization of methodological support of professional activity of pedagogues was grounded as a roadmap for overcoming professional difficulties occurring upon preschool children remote studying, its content has been determined; algorithm for construction of individual programs of methodological support of pedagogues within the scope of informational-methodological environment of remote studies was developed and described; efficiency of methodological support of professional activity of pedagogues in cooperation upon overcoming professional difficulties occurring within the process of preschool children remote studying was proved.
APPLICATION OF A COMPREHENSIVE INFORMATION MANAGEMENT SYSTEM USING GIS AND OA IN HIGHWAY MECHATRONICS MAINTENANCE

The aim of this study is to improve the information management efficiency of the highway through the combination of the GIS (Geographic Information System) and OA (Office Automation) in highway mechatronics maintenance.First, the principles and disadvantages of traditional GIS technology are analysed.Then, the COMGIS (Component Object Module GIS) technology is formed through the integration of the GIS and COM (Component Object Module) technology proposed by Microsoft.Finally, a comprehensive information management system for the highway is proposed based on the COMGIS and OA.Next, the proposed system is simulated through an experiment on the mechatronics maintenance of the highway of Hu County of Xi'an in Shaanxi Province.The results show that the user enters the system through the correct user name and password input into the login interface.The shortcut icons in the main interface can be quickly accessed as a common function.Clicking the Map Selection tool can load the selection information in the selection result window.If users perform a fuzzy query, they can find and view detailed map information on the map.The length of the drawn line segment and the polygon surface can be obtained through the distance measurement tool, and the perimeter and area of the graph can be automatically calculated.The manhole condition can be monitored on different highway segments through the system information, which can prompt maintenance personnel timely detection.This shows that the proposed comprehensive information management system for mechatronics maintenance of highways can perform the normal function of both the GIS system and the OA system.
Design Calculator for Quick Estimation of Concrete and Reinforcement in the Flat Plate Slab

Design analysis and cost estimation play important roles in preconstruction activities.Accurate estimates are necessary to keep decisions within budget and to help builders determine which of their designs has the best chance of "getting the project."This means builders must have at their disposal an accurate means to determine which of their designs is the most effective in terms of cost, performance, and reliability.However, standard approaches to measure out these parameters are often too time-consuming or too expensive to allow comprehensive comparisons of alternatives.This paper looks at how computer aided models coupled with a design knowledge database can accelerate the design and estimate process.It further discusses the procedure for developing such a knowledge database, which inputs simple geometric inputs and outputs detailed reinforcement and concrete requirements.The model is designed for the flat plate slab, as flat slab is being widely used especially when requirements are of minimum floor to floor height or clear long spans (MacGregor, James Wight, 2005).Microsoft Excel is used to house the database as per the design method and respective ACI code.Using this model, a person from non-engineering background can also provide accurate preliminary design with detail layout and realistic quantity estimation of reinforcement and concrete.
Temporal-Sound based User Interface for Smart Home

We propose a gesture-based interface to control a smart home. Our system replaces existing physical controls with our temporal sound commands using accelerometer. In our preliminary experiments, we recorded the sounds generated by six different gestures (knocking the desk, mouse clicking, and clapping) and converted them into spectrogram images. Classification learning was performed on these images using a CNN. Due to the difference between the microphones used, the classification results are not successful for most of the data. We then recorded acceleration values, instead of sounds, using a smart watch. 5 types of motions were performed in our experiments to execute activity classification on these acceleration data using a machine learning library named Core ML provided by Apple Inc.. These results still have much room to be improved.
Women’s economic empowerment

This chapter focuses on women's economic empowerment and access to productive and financial resources in Africa. Adopting a holistic approach, it examines formal and informal laws, social norms and practices to identify the main challenges and forms of discriminations affecting women in the region. These consist of limited employment and labour participation, a large burden of unpaid care and domestic work, and reduced access to agricultural land, food, financial services and entrepreneurship opportunities. The analysis considers the current situation of women and uncovers underlying factors. Based on this analysis, the chapter provides policy recommendations to improve women's economic empowerment and to promote equal access to productive and financial resources.
Computational models of temporal expectations

With Western, tonal music, the expectedness of any given note or chord can be estimated using various methodologies, from perceptual distance to information content.However, in the realm of rhythm and meter, the same sort of predictive capability is lacking.To date, most computational models have focused on predicting meter (a global cognitive framework for listening), rather than fluctuations in metric attention or expectations at each moment in time.This theoretical contribution reviews existing models, noting current capabilities and outlining necessities for future work.
Penerapan Asosiasi Algoritma Apriori Pada Data Penjualan Alat-Alat Listrik Dan Tekhnik

The incompatibility of information in reporting productsthat are sold, and data storage is very large, business people, especially in the sales business are required to find an appropriate strategy that can increase sales and marketing of products sold, one of which is by using electronic product sales data. Therefore, anapplication is needed that is able to sort and select data, so that information can be obtained that is useful for users, namely data mining. Associate patterns can be used to place products that are often purchased together into an area that is close together so as to facilitate the customer in finding the desired product and designing the appearance of products in the catalog. The method used is theApriori Algorithm method, with the help ofTanagra 1.4.50 tools and processing transaction data using Microsoft Excel 2007.
The Quality of E-learning on The Website

The goal of the current study is to learn more about different online apps that can be used in E-learning. The study also aims at shedding light on more important methods using applications on the web in the quality of E-learning. Applications are taken from the website: Classroom, Edmodo, Moodle, Zoom, Free Conference call, Meet, WebEx Meet, Telegram, WhatsApp, Viber, and YouTube. These applications are used in E-learning. The study focuses on various types of university education, and it is made public through social media. The study uses Google Forms approach that consists of a set of questions that are answered entirely and at random. The study was conducted on 288 samples during the 18 hours ending on 29/ 05/2020 at 13:50:30. The results were a questionnaire of seeing which website applications are mostly used in the quality of E-learning. Google, statistical package for the social sciences (SPSS), and Excel data analysis system is scrutinized by using the questionnaire results. Now E-learning uses more interactively in universities than any other time during the different web applications for creating conferences, seminars, classes for students.
The Effect of Community Empowerment Strategies in Tourism Village Development on Community-Based Learning

This study aimed to describe and examine a strategy of community empowerment and its influence on community-based learning. A quantitative approach was used. This research included 40 respondents and random sampling was used for recruitment. Data were collected through a questionnaire and were analyzed using descriptive techniques and regression analysis. The results showed that Fcount &gt; Ftable (12.684&gt;4.10) and Sig F&lt;5% (0.001&lt;0.05). We can therefore conclude that the strategy of community empowerment had a significant effect on community-based learning.&#x0D; Keywords: community empowerment, tourism village development, community-based learning
Attention-Based Multi-Scale Generative Adversarial Network for synthesizing contrast-enhanced MRI

In clinical practice, about 35% of MRI scans are enhanced with Gadolinium - based contrast agents (GBCAs) worldwide currently. Injecting GBCAs can make the lesions much more visible on contrast-enhanced scans. However, the injection of GBCAs is high-risk, time-consuming, and expensive. Utilizing a generative model such as an adversarial network (GAN) to synthesize the contrast-enhanced MRI without injection of GBCAs becomes a very promising alternative method. Due to the different features of the lesions in contrast-enhanced images while the single-scale feature extraction capabilities of the traditional GAN, we propose a new generative model that a multi-scale strategy is used in the GAN to extract different scale features of the lesions. Moreover, an attention mechanism is also added in our model to learn important features automatically from all scales for better feature aggregation. We name our proposed network with an attention-based multi-scale contrasted-enhanced-image generative adversarial network (AMCGAN). We examine our proposed AMCGAN on a private dataset from 382 ankylosing spondylitis subjects. The result shows our proposed network can achieve state-of-the-art in both visual evaluations and quantitative evaluations than traditional adversarial training.Clinical Relevance—This study provides a safe, convenient, and inexpensive tool for the clinical practices to get contrast-enhanced MRI without injection of GBCAs.
Stage-directing the Virtual Reality Experience: Developing a Theoretical Framework for Immersive Literacy

Despite the incremental improvement and inclusion of immersive technologies in entertainment, training simulation, fine art, inclusive design, academia, and education; Virtual Reality (VR) still faces issues regarding its ability to compete with films and animation in visual storytelling without merging into the realm of video games. In 2015, Pixar’s Ed Catmull warned moviemakers that Virtual Reality is “not storytelling” and argued that the linear aspect of narratives poses an obstacle that cannot be overcome with VR. In contrast, Catmull argued that VR has immense application in games. However, VR creators have been pushing the boundaries and possibilities of delivering narratives in virtual spaces. In 2019, the VR experience “Gloomy Eyes” was presented at the Sundance festivals featuring a 30-minute story split between 3 episodes. The simulation is structured to provide its audience with some degrees of freedom while guiding them intuitively through the virtual space. In 2021, Blue Zoo also released a VR project titled “The Beast” featuring a cyclist powering up a snow-covered mountain. The short film was entirely created in Quill VR with the intention of being treated like a theatrical play rather than a film. While the creators of “The Beast” have explicitly mentioned the influence of theatre, “Gloomy Eyes” draws its visual language from similar theatrical roots. This paper argues that VR has been mistakenly compared to film and animation when it should be associated with theatre. The audience of both are not passive as they are during the screening of a film or animation. The space and the medium demands participation through their presence in the same space with the actors/characters. Theatre presents a promising candidate for extracting criteria that could be used to develop a visual language for VR. This research aims to formulate a framework for developing a VR visual language through comparison between character-driven narratives in VR such as “Gloomy Eyes” and “The Beast”. The comparative study establishes overlapping criteria and characteristics found in the structure, literacy, sound, and delivery format of narratives in a theatrical performance. These criteria are then outlined and discussed, drawing from affordance theory and discussions on aural and visual attention in theatre, to form a holistic view in approaching VR literacy.