Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF THE RESULTS OF EXPERIMENTAL RESEARCH OF STAGE CULTURE FORMATION OF FUTURE TEACHERS OF MUSIC ART IN THE VOCAL TRAINING PROCESS

The article analyzes the organization of pedagogical experiment on the formation of the stage culture of future teachers of music in the vocal training process. The pedagogical experiment included three stages: ascertaining, forming, comparative. The stages of the formative expression are characterized – motivational, informative and creative-reflexive. Methods of experimental research are described. The effectiveness of experimental and experimental work, which is carried out on the basis of a comparative analysis of the stage and figurative culture of future teachers of musical art of experimental and control groups, is tested. The content and method of formation of stage-figurative culture of future teachers of music art in the process of vocal training during the forming experiment are characterized according to certain stages. At the first (motivational and motivational) stage, the formation of motivation of future teachers of music art to develop their own stage-figurative culture, motives and needs for the formation of stage, vocal and interpretative skills, value orientations for the improvement of this important quality was carried out. During realization of the second (informative) stage of realization of the method of formation of stage culture of the future teacher of musical art in the process of vocal training, attention was focused on enrichment of knowledge about stage and vocal skills, interpretation of musical image, formation of knowledge on stage-figurative culture (cultural studies, theatrical sciences, hermeneutics, art pedagogies, etc.); expanding thesaurus and identifying opportunities for practical application of knowledge in pedagogical activity. During the realization of the third (creative-reflexive) stage, attention was paid to the formation of vocal, stage, interpreting skills, development of vocal technique, artistic expressiveness, communicativeness, empathy, expression, etc., in order to influence the feelings, intellect of the students. The results of a formative experiment allow to confirm the effectiveness of sound pedagogical conditions and methods of forming the stage-figurative culture of future music teachers in the process of vocal training.
Design and Evaluation of an Open-source Gaze-controlled GUI for Web-browsing

Nowadays, motor-impaired people with Locked-In Syndrome (LIS) use eye-tracking technology to write and to access the web through commands generated by the detection of gaze movements and fixations on a graphical user interface (GUI). However, novel GUI concepts must be designed to further ease the control offered by eye-tracking, making it more responsive and less tiresome. This paper presents and evaluates an open-source standalone GUI design, SightWeb, that fully and easily controls a web browser through gaze movements without any page analysis. Its temporary menu centered in the area of action allows for reduced eye saccade and mental workload. SightWeb was evaluated against a state-of-the-art eye tracking based web interface (The Grid 3 by Thinksmartbox). The results (gaze movements, execution times, user experience questionnaire scores) suggest that SightWeb is quicker to learn and to use, more appreciated and less tiring than a traditional assistive GUI. This shows that the system can be, not only an improved interface for patients, but also an instrumental piece of software for researchers working in related areas.
Transformation of Ethical Values under the Conditions of Digital Technologies Development

The article provides a philosophical and anthropological interpretation of modern scientific achievements and analyses their possible consequences in social and ethical aspects. Special attention is paid to the problem of ethical gap between generations under the conditions of digital technologies impetuous development. Modern cyber-space influences a human’s perception of reality and, consequently, his value orientations. The problem of forming a future generation’s ethical identity requires comprehensive academic study; in this connection, the authors emphasize the necessity to actualize the applied component of ethics through the system of education and upbringing.
Maritime English Teachers in Indonesia

English has always been essential in Maritime, especially when reached to safety.As a global industry, Maritime sector needs English as the medium to communicate, to create understanding among multinational organization and crew.To countries that have English as their 2nd language, or even as a foreign language, it is still a challenge.Therefore, Maritime English teacher or instructor is a key figure to develop seafarer capabilities.Maritime English Teachers in Indonesia should not only have some English language skills but also specialized training for career purposes, especially in Maritime English teaching because the goal of Maritime English for each college is to cultivate students to have good English communication skills that used on board ship.Based on this standard, Maritime English teachers are expected to be familiar with the related maritime knowledge, so it is possible to encourage the students to use the English for their communication on board ship.This study is intended to identify and to profile the typical maritime English teachers in Indonesia.The study involves 5 Maritime Colleges across Indonesia by distributing
Paradigm of Controls Concept for Global Information Systems

Information systems should provide high accuracy and reliability of the information provided. To build a global information resource with the properties of accessibility and reliability, as well as a wide range of data, it is necessary to determine effective control concepts. The subject of research is global information systems built on the basis of RDF repositories, which allow combining any ontology domains according to the principle of Linked Open Data. A conceptual scheme of entity matching is proposed in the development of RDF resources and the construction of SPARQL queries. The technique of increasing the speed of query processing is described.
Evacuation Support System Used by Cooperation Drone

Japan has geographical conditions that make it prone to being affected by natural disasters. In the event of a disaster such as an earthquake or typhoon, floods, landslides and buildings collapse. In this situation, evacuation routes that have been determined may change dynamically. We focused on the possibilities of drone. In this research, we obtain safe guidance route in dynamic environment and guide victims and the headquarters can watch these information by the drone. As a result, using “ROS” (robot operating system) for system implementation and we checked the logic in the simulation.
Current State of Local Lore Bibliography of the Republic of Sakha (Yakutia)

The article reveals the current state of local lore bibliography in the Republic of Sakha (Yakutia), the main types of bibliographic indexes: scientific-auxiliary, recommendation. The author gives the examples of specific bibliographic manuals, which allow to determine the existing system of local lore bibliography, its methodological, organizational and technological development. The article notes the leading centres involved in the creation of local lore bibliographic manuals, considers the principles of creating bibliographic resources through the organization of local lore scientific-auxiliary bibliography. The author presents the analysis of “Bibliography of Yakutia” by N.N. Gribanovsky as one of the samples of bibliographing for all the time of development of local lore bibliography in Russia and gives information about the reconstruction work of this publication. In 2016, the National Library (NL) of the Republic of Sakha (Yakutia) started preparing for the publication of multi-volume universal scientific-auxiliary bibliographic work “Bibliography of Yakutia (1932—2022)” on all the main branches of knowledge: Yakut language, Literature, Literary Criticism, Folklore, Economy and Demography, State and Law, Political Science, History, Archaeology and Ethnology, Culture and Arts, Health Care, Medicine, Education, Physical Culture and Sports, National Economy and Industry, Agriculture, Minerals and Geology, Cryology. It is expected that the publication will consist of 15 volumes and in general will close the existing gap in bibliographing of documents on all the major branches of knowledge for the years 1932—2022. The author presents detailed characteristics of the main bibliographic indexes published by the NL of the Republic of Sakha (Yakutia), the Scientific library of the North-Eastern Federal University named after M.K. Ammosov, the Central scientific library of the Yakut Scientific Centre of the Siberian branch of the Russian Academy of Sciences, the Scientific library of the Yakutsk Agricultural Academy. The article reveals the new opportunities in bibliographic activity of municipal libraries of the Republic, analyses the base for compilation of bibliographic resources of the regions (uluses) of the Republic. The author pays special attention to the activities on creation of recommendation bibliography on “Yakut Studies”. The conclusions present the results of the development of the system of local lore bibliography in the Republic of Sakha (Yakutia). The author highlights that the characteristic feature of the modern system of bibliographic indexes of the region is the integrity of the major types and kinds of bibliographic indexes; the organizational, technological and scientific components are identified in general; and the bibliographic provision of science and practical activity of the Republic is increasing. The presented system develops quite dynamically in the natural way of changes in the life of society.
Paraphrasing Method Based on Contextual Synonym Substitution

Generating paraphrases is an important component of natural language processing and generation. There are sev­eral applications that use paraphrasing, for example linguistic steganography, recommender systems, machine translation, etc. One method for paraphrasing sentences is by using synonym substitution, such as the NGM-based paraphrasing method proposed by Gadag et al. The weakness of this method is that ambiguous meanings frequently occur because the paraphrasing process is based solely on n-gram. This negatively affects the naturalness of the paraphrased sentences. For overcoming this problem, a contextual synonym substitution method is proposed, which aims to increase the naturalness of the paraphrased sentences. Using the proposed method, the paraphrasing process is not only based on n-gram but also on the context of the sentence such that the naturalness is increased. Based on the experimental result, the sentences generated using the proposed method had higher naturalness than the sentences generated using the original method.
Protecting Secret Data using RDE and Fuzzy Logic to Specify the Embedding Level

Along with the rapid increase in information technology, there is a challenge in data security. For this reason, data protection has been a focus for some decades. One of the methods, called data hiding, is introduced to solve this security issue. It can protect secret data; nevertheless, the quality of the resulted stego data for a certain amount of the secret is limited. Moreover, the reversibility of the algorithm is also a concern. In this research, we intend to improve the method by combining Reduced Difference Expansion (RDE) and the concept of fuzzy logic, by considering some factors, such as brightness and its entropy value. It is to specify the number of embedding, which should be done for each block in an image. Therefore, the embedding level is dynamic, which means that it may be different for each block. The experimental result shows that this proposed method works well; adaptive such that it follows the characteristics of the carrier. Moreover, the method is also reversible that both the secret data and the carrier can be successfully reconstructed.
Domain segmentation and adjustment for generalized zero-shot learning

In the generalized zero-shot learning, synthesizing unseen data with generative models has been the most popular method to address the imbalance of training data between seen and unseen classes. However, this method requires that the unseen semantic information is available during the training stage, and training generative models is not trivial. Given that the generator of these models can only be trained with seen classes, we argue that synthesizing unseen data may not be an ideal approach for addressing the domain shift caused by the imbalance of the training data. In this paper, we propose to realize the generalized zero-shot recognition in different domains. Thus, unseen (seen) classes can avoid the effect of the seen (unseen) classes. In practice, we propose a threshold and probabilistic distribution joint method to segment the testing instances into seen, unseen and uncertain domains. Moreover, the uncertain domain is further adjusted to alleviate the domain shift. Extensive experiments on five benchmark datasets show that the proposed method exhibits competitive performance compared with that based on generative models.
Depth Based Semantic Scene Completion with Position Importance Aware Loss

Semantic Scene Completion (SSC) refers to the task of inferring the 3D semantic segmentation of a scene while simultaneously completing the 3D shapes. We propose PALNet, a novel hybrid network for SSC based on single depth. PALNet utilizes a two-stream network to extract both 2D and 3D features from multi-stages using fine-grained depth information to efficiently captures the context, as well as the geometric cues of the scene. Current methods for SSC treat all parts of the scene equally causing unnecessary attention to the interior of objects. To address this problem, we propose Position Aware Loss(PA-Loss) which is position importance aware while training the network. Specifically, PA-Loss considers Local Geometric Anisotropy to determine the importance of different positions within the scene. It is beneficial for recovering key details like the boundaries of objects and the corners of the scene. Comprehensive experiments on two benchmark datasets demonstrate the effectiveness of the proposed method and its superior performance. Models and Video demo can be found at: https://github.com/UniLauX/PALNet.
3D Aggregated Faster R-CNN for General Lesion Detection

Lesions are damages and abnormalities in tissues of the human body. Many of them can later turn into fatal diseases such as cancers. Detecting lesions are of great importance for early diagnosis and timely treatment. To this end, Computed Tomography (CT) scans often serve as the screening tool, allowing us to leverage the modern object detection techniques to detect the lesions. However, lesions in CT scans are often small and sparse. The local area of lesions can be very confusing, leading the region based classifier branch of Faster R-CNN easily fail. Therefore, most of the existing state-of-the-art solutions train two types of heterogeneous networks (multi-phase) separately for the candidate generation and the False Positive Reduction (FPR) purposes. In this paper, we enforce an end-to-end 3D Aggregated Faster R-CNN solution by stacking an "aggregated classifier branch" on the backbone of RPN. This classifier branch is equipped with Feature Aggregation and Local Magnification Layers to enhance the classifier branch. We demonstrate our model can achieve the state of the art performance on both LUNA16 and DeepLesion dataset. Especially, we achieve the best single-model FROC performance on LUNA16 with the inference time being 4.2s per processed scan.
Improvement in Text Categorization Using Semi-Supervised Approach and Lexical Chains

Text categorization is used for assigning the class labels to the available data set or providing a conceptual view to a data set. The text categorization can be performed in two ways supervised way, and in an unsupervised way. But alone neither can perform well in the categorization of data set. So a semi-supervised model with the combination of lexical chains is used to perform the task of categorization. In the proposed semi-supervised model the lexical chains are used to determine the numbers of clusters has to be formed using k -means clustering. This ‘ k -means’ will divide the data set into different categories and then onto these different categories the support vector Machine (SVM) model is applied for the classification task. The purpose is to improve the performance of support vector Machine by having data already in some pattern, otherwise, support vector Machine will take a lot of time in the training of data set.
M-learning: Exploring mobile technologies for secondary and primary school science inquiry

The use of mobile phones in classrooms for many schools remains a controversial issue. In our experience, it is still common that schools ban mobile phones from classrooms even where students may seek to use the phone for routine tasks such as the calculator functionality. In this paper, we argue that such blanket policies by school administrators are seriously problematic from an educational perspective, given the immense functionality of mobile technologies that has emerged over the past decade. Access to the educational power of these technologies is typically being denied to our students, by educators who may not fully appreciate the capabilities. This is problematic, not just for students, but also for educators who will eventually experience increasing pressure from technological change agents external to the education sector. This paper seeks to illustrate a case for positive technological change within school education by demonstrating the application of just one mobile device functionality in an inquiry context suitable for teaching school science across secondary and primary years.
An Updateable Token-Based Schema for Authentication and Access Management in Clouds

Cloud computing is getting universally in production and hence, comprising more valuable information resources. Therefore, providing a secure infrastructure to exchange information is more vital and inevitable. Attackers are looking for a way to penetrate these systems and exploit various techniques, such as account hijack and denial of service attacks, to obtain the information or develop a disorder in the system. The creation of treat models helps to identify the vulnerabilities, prevent potential attacks, and consider appropriate mechanisms to mitigate them. One of these mechanisms is the access control list and the role-based access control list is one of its variants that defines some user groups and allocates resources to specific groups. Token-based authentication is another mechanism which helps to maintain security. When a user requests to access a resource, initially it must be authenticated by a username and represents a token. In this effort, by using the concept of role-based access control and JSON web token framework, a customized framework is proposed and implemented with a higher level of security in comparison to a standard JSON web token framework. Moreover, this proposal has the ability to update the status of access to resources in case of changing access policies by the policy engine.
Anonymization Technique Based on SGD Matrix Factorization

Time-sequence data is high dimensional and contains a lot of information, which can be utilized in various fields, such as insurance, finance, and advertising. Personal data including time-sequence data is converted to anonymized datasets, which need to strike a balance between both privacy and utility. In this paper, we consider low-rank matrix factorization as one of anonymization methods and evaluate its efficiency. We convert time-sequence datasets to matrices and evaluate both privacy and utility. The record IDs in time-sequence data are changed at regular intervals to reduce re-identification risk. However, since individuals tend to behave in a similar fashion over periods of time, there remains a risk of record linkage even if record IDs are different. Hence, we evaluate the re-identification and linkage risks as privacy risks of time-sequence data. Our experimental results show that matrix factorization is a viable anonymization method and it can achieve better utility than existing anonymization methods.
Finding the Equilibrium for Continuous Constrained Markov Games Under the Average Criteria

For Markov game with cost constraints and continuous actions, the local constraint of single-decision maker is the interacted result of joint actions taken by the other decision makers, and is usually eliminated by imposing penalties on the undesired states and policies, which may suffer from the failure of penalties as the game policy changes and the nonexistence of the mixed policies. In this article, a framework of the actor-critic deep neural network is utilized to solve this problem. The actor network establishes the continuous pure policy to replace the mixed policy, and the critic network converts the global interacted results into a local performance potential. The local search for a constrained equilibrium average objective is converted into an unconstrained minimax optimization. Based on the equivalent conversion, the optimality function of the local action is given to evaluate the influence of the single decision maker's action on the global system. The proposed algorithm simultaneously iterates the local constraint multiplier and policy along opposite directions, and a typical congestion control numerical result in the emerging Internet of Things shows the efficiency.
Security Implementation of the Internet of Things Using the Advanced Encryption Standard (AES) Algorithm

Technology is currently needed to facilitate human activities in order to improve efficiency, productivity, and human security itself. One of them is in technology to open and lock doors. In this study we will discuss the study of electronic key systems using codes or passwords as the key. The device used for this implementation is a microcontroller device that is installed on the door as the recipient of the control. Users communicate with microcontroller devices using cellular phones through Internet communication media. But communication over the Internet is not yet supported by strong security. Therefore in this study cryptography was made to complement the security aspects of electronic key codes by applying the Advanced Encryption Standard (AES) with a 256-bit key length. The results obtained from this study are that speed produces encryption and description of the description about 1.24 seconds and avoids sniffing and brute force.
A Radial-In-Plane Sensitivity Interferometer with Divergent Illumination for Displacement Measurement

An in-plane radial sensitivity interferometer that uses the divergent illumination for displacement measurement in the radial direction is presented. A description and mathematical model for calculating the sensitivity vector are also presented. The interferometer has two polarizing filters: a circular one and a linear one to implement the phase stepping technique. A measurement of the radial deformation by thermal expansion is performed over an aluminium plate in order to test the interferometer. The results indicate that the maximum contribution of the out-of-plane with respect to the radial-in-plane sensitivity vector is less than 3% and decreases by less than 1% when measurements are performed near the optical axis. The measurement is compared with the results obtained by a finite element analysis on a virtual specimen model.