Reviewerly/exHarmony huggingface dataset:
Image Enhancement Based on Fan Filter Parameters Adjustment

In the field of image processing, there is an urgent need to adopt image transformations. In this paper, work is done on image coefficients after decomposing them through Curvelet transformations obtained through the fan filter. The research deals with two stages: the first is to study the effect of the Fan filter by adopting angles (8, 16, 32) on the image (Lina.jpg) of size (256*256) after being analyzed using Curvelet transformations at scales (2,3,4) through comparing a set of measurements (Contrast, Energy, Correlation, MSE, and PSNR) for both the original and reconstructed images. It can be found that Contrast and Energy criteria remain the same for the original and reconstructed images according to different levels of analysis or directions, so the value of the Correlation measure is 1. The value of the MSE criterion is very small and is almost not affected by the change of the number of angles in one scale, but it is slightly affected by increasing the scale analysis. What was mentioned above applies to the PSNR criterion as well. As for the second stage of the research, which included decomposing the image to its coefficients, canceling the effect of one of these coefficients, and then reconstructing it. The results proved that the two criteria (Contrast and Energy) were not affected with falling Correlation criteria from 1 to values ranging from (0.9987_0.9997) depending on the number of scales used in the Curvelet analysis and the number of angles used in Fan filter (8,16,32). The results also showed an increase in the MSE value when dropping some frequencies, and a corresponding decrease in the PSNR value. Whereas, the decrease in the MSE scale was demonstrated at a specific scale with the increase in the number of angles in the Fan filter, in contrast to the PSNR scale.
Image-to-Image Translation as a Pretext for Unsupervised Detection of Cancerous Regions in Histology Imagery

Detection of visual anomalies refers to the problem of finding patterns in different imaging data that do not conform to the expected visual appearance, and is a widely studied problem in different domains. Due to the nature of anomaly occurrences and underlying generating processes, it is hard to characterize them and obtain labelled data. Obtaining labelled data is especially difficult in biomedical applications, where only trained domain experts can provide labels, which are often diverse and complex to a large degree. The recently presented approaches for unsupervised detection of visual anomalies omit the need for labelled data and demonstrate promising results in domains where anomalous samples significantly deviate from the normal appearance. Despite promising results, the performance of such approaches still lags behind supervised approaches and does not provide a universal solution. In this work, we present an image-to-image translation-based framework that significantly surpasses the performance of existing unsupervised methods and approaches the performance of supervised methods in a challenging domain of cancerous region detection in histology imagery.
The creative activity of the choir class of Ivano-Frankivsk Vocational Music College named after Denys Sichynskyi

The purpose of the article. To reveal the principles of professional growth of the choir class of Ivano-Frankivsk Vocational Music College named after Denis Sichinsky through the prism of conducting its leaders. Outline the repertoire findings and concert and festival achievements of the group. The methodology consists in the implementation of a system-chronological approach in the analysis of individual pages of the team's activities, first published personal archival materials of the author. It is also possible to use a scientific method to combine and adjust new and previously obtained results, thus tracing the process of professionalization of the college choir for more than 80 years of existence. The scientific novelty is to trace and highlight the stages of the creative practice of the choir class. For the first time, an attempt was made to characterize the activities of the teaching staff of the college from its founding to the present day, which allows us to recreate a holistic picture of its artistic development. Conclusions. For a long time the choir class of the college was headed by famous choirmasters, thanks to whom creative youth has the opportunity to form professionally and popularize samples of the world and Ukrainian choral music in the region, different parts of Ukraine, and abroad. The basis of the choir's repertoire consists of works of various genres and styles, but the uniqueness of the ensemble's funds lies in the sound of D. Sichynsky's choral heritage. Thus, in the cultural process of Prykarpattia and Ukraine, the student academic choir, as a participant in the educational process and a unique concert unit of the region, has an important role.
Relation Extraction With Clause-Based Open Information Extraction

Information Extraction (IE) is one of the challenging tasks in natural language processing. The goal of relation extraction is to discover the relevant segments of information in large numbers of textual documents such that they can be used for structuring data. IE aims at discovering various semantic relations in natural language text and has a wide range of applications such as question answering, information retrieval, knowledge presentation, among others. This thesis proposes approaches for relation extraction with clause-based Open Information Extraction that use linguistic knowledge to capture a variety of information including semantic concepts, words, POS tags, shallow and full syntax, dependency parsing in rich syntactic and semantic structures.&lt;div&gt;Within the plethora of Open Information Extraction that focus on the use of syntactic and dependency parsing for the purposes of detecting relations, incoherent and uninformative relation extractions can still be found. The extracted relations can be erroneous at times and fail to have a meaningful interpretation. As such, we first propose refinements to the grammatical structure of syntactic and dependency parsing with clause structures and clause types in an effort to generate propositions that can be deemed as meaningful extractable relations. Second, considering that choosing the most efficient seeds are pivotal to the success of the bootstrapping process when extracting relations, we propose an extended clause-based pattern extraction method with selftraining for unsupervised relation extraction. The proposed self-training algorithm relies on the clause-based approach to extract a small set of seed instances in order to identify and derive new patterns. Third, we employ matrix factorization and collaborative filtering for relation extraction. To avoid the need for manually predefined schemas, we employ the notion of universal schemas that is formed as a collection of patterns derived from Open Information Extraction tools as well as from relation schemas of pre-existing datasets. While previous systems have trained relations only for entities, we exploit advanced features from relation characteristics such as clause types and semantic topics for predicting new relation instances. Finally, we present an event network representation for temporal and causal event relation extraction that benefits from existing Open IE systems to generate a set of triple relations that are then used to build an event network. The event network is bootstrapped by labeling the temporal and causal disposition of events that are directly linked to each other. The event network can be systematically traversed to identify temporal and causal relations between indirectly connected events. &lt;br&gt;&lt;/div&gt;
The Impact of the Quality of Electronic Banking Services in Achieving Customer Satisfaction from the Point of View of Al Rajhi Bank Customers

This study aims to identify the effect of the quality of electronic banking service in achieving customer satisfaction of Al Rajhi Bank in Al Dawadmi branch by studying the dimensions of the quality of electronic banking services including tangibility, reliability, safety, empathy and response. The population of study consists of customers benefiting from the services of Al Rajhi Bank in the Kingdom of Saudi Arabia. A questionnaire was distributed to 100 individual customers of the Al Rajhi Bank. The data were, then, collected and analyzed using the SPSS statistical analysis program. The results have revealed that all the dimensions of the quality of electronic banking services namely, tangibility, reliability, safety, empathy and response are significantly related to customer satisfaction in Al Rajhi Bank. This study provides important recommendations that hopefully intended to help the bank promote the quality of banking electronic services.
The Correlation of Positive Reinforcement, Self-Confidence, and Speaking Performance of English Young Learners

Most teachers may face challenges to teach the students without studentsâ€™ native language to teach a foreign language. The students may get bored easily and not motivated because they have to listen to more new strange words in every meeting that they do not directly understand the words means. Thus, it needs some strategies to get the better result. Students who like doing things happily need a more relaxing learning situation to join the English classes comfortably. The study aimed to investigate the correlation of verbal, gestural, token reinforcement, speaking performance, and self-confidence. The research method used was a quantitative study with multiple linear regressions. Students of the fifth grade of SD N 1 Wates Undaan Kudus as the population took part in the positive reinforcement, self-confidence, and speaking performance test in teaching English. The data were analyzed through a statistical program of SPSS 22. Thus, there was a correlation between positive reinforcement, speaking performance, and self-confidence. The conclusion is that all positive reinforcement correlates with speaking performance and self-confidence. It means that the positive reinforcement influenced their speaking performance and their self-confidence. It is suggested that the teacher should raise their awareness to motivate studentsâ€™ speaking skills for better achievement. Besides, teachersâ€™ performance in the classroom activity deals with classroom management, encourages the students to always joyful in learning English materials, provides exercise and group discussion according to their circumstance, and performs various teaching that involves the learnerâ€™s role in the classroom activity.
Assessment of the Development Level of Future Primary School Teachers’ Special Competences at the University

The authors investigate the leading problem of the formation of future primary school teachers’ special competences in the process of professional training. This study was conducted to identify the initial level of special competences the future primary school teachers of Karaganda Buketov University have. The results of the study have shown that the students demonstrate a generally low level of formation of special competences, which can significantly complicate the process of improving the quality of training a future primary school teacher of a new type for the pedagogical activity in the 21st century. The study has revealed that the first-year students with low academic performance and lack of knowledge, skills and abilities necessary for future pedagogical activity have a low level of formation of the components of future primary school teachers’ special competences, which confirms our hypothesis. The article argues that the low level of special competencies of students cannot contribute to the successful formation of the professional competence of graduates of higher educational institutions
Security and Privacy Preserving Keyword Search for Cipher Text Retrieval in Cloud Computing based on Oppositional Grasshopper optimization

Because more and more people and businesses are storing data in the cloud on a remote basis, cloud security is an essential research topic.Improving the data security and privacy our proposed work uses combination of Blowfish algorithm as well as Elliptic curve cryptography (Blowfish+ECC).This study mainly focusses on two stages; public key encryption as well as keyword retrieval.Initially, ECC provide access control for both data owner and authorized users.Porter stemming is used to extract keywords in the data pre-processing stage.The data owner uses the bloom filter to construct a secure index for each file.The data owner then encrypts the files using the blowfish encryption method and public keys.In the next stage, the trapdoor code is generated.After the user receives the information, the keyword search approach is utilized to discover matched files.The Oppositional based Grasshopper optimization Algorithm is used to select the optimal solution after gathering matched files.Finally, using the blowfish decryption method, the original files are decrypted.
A Comparative Analysis of Sorry for and Sorry about in Two Corpora

The ultimate goal of this paper is to provide a comparative analysis of Sorry for and Sorry about in the COCA and BNC. When it comes to the COCA, it is interesting to point out that the types Sorry for and Sorry about show the same pattern in the TV/movie and fiction genres and the academic genre, whereas they show a different pattern in the blog, web, magazine, newspaper genres and the spoken genre. With respect to the BNC, it is significant to note that Sorry for and Sorry about show the same pattern in the fiction genre and the spoken genre, whereas they show a different pattern in the newspaper and magazine genres and the misc, non-academic and academic genres. It can thus be inferred that these two types are synonymously used, but they are slightly different from each other in their use. A major point to note that in the COCA, Sorry for is the furthest type from Sorry about in the TV/movie genre, whereas Sorry for is the nearest type to Sorry about in the academic genre. A further point to note is that in the BNC, Sorry for is the furthest type from Sorry about in the spoken genre, whereas Sorry for is the nearest type to Sorry about in the academic genre. The COCA clearly shows that Sorry for people is the most preferable one for Americans, followed by Sorry for Mr., Sorry for me, and Sorry for Mrs., in that order. The COCA shows, on the other hand, that Sorry about dinner is the most preferable one for Americans, followed by Sorry about lunch, Sorry about Mr., Sorry about agent, and Sorry about that, in descending order. The COCA clearly indicates that the expression Sorry for being is the most preferable one among Americans, followed by Sorry for interrupting, Sorry for having, Sorry for getting, and Sorry for making, in descending order. The COCA also shows that the expression Sorry about being is the most preferable one for Americans, followed by Sorry about getting, Sorry about calling, and Sorry about leaving (Sorry about having), in that order. It is worth noting that only two nouns (Mr. and things) can be the collocations of both Sorry about and Sorry for. It is also worth pointing out that eleven of thirteen seven gerunds are linked to both Sorry about and Sorry for. This in turn suggests that Sorry about and Sorry for are interchangeably used, but they are somewhat different from each other in their use.
Creating the Positive Emotional Background Based on Teaching Situations in Process of Building Mathematical Students’ Competence

The effective implementation of the structural-functional model, introduced into the educational process of an educational organization, is facilitated by the determination of the necessary and sufficient pedagogical conditions, which are determined taking into account the specifics of the educational process of the organization and the relationship of these conditions, which structurally form a single, integral complex. This article provides the results of a theoretical analysis of the creation of an emotionally positive background, considered as one of the necessary pedagogical conditions that contribute to the effective implementation of the structural and functional model of pedagogical support for the formation of students' mathematical competence. The article discusses the methodological principles and means of creating an emotionally positive background by a teacher in the process of educational activities of students. The results of a theoretical analysis of the influence of positive and negative emotional states of students
Actualization Of Reader Communication In The Digital Age (Creating A Longrid

One of the problems of modern society is the crisis of reader communication.New digital technologies offer innovative approaches to solving this global problem.Reader communication as a process of transferring and perceiving knowledge, practical and cultural information is considered on the basis of new information products that can make readership more active.The specifics of creating a new interactive model of the media text are described in detail on the example of a longread that works to strengthen all types of reader communication, especially reading, as a connecting component.Longread is not a traditional journalistic text or audio-visual product; it includes elements that became available in the Internet era, for example, interactive maps, infographics, audio and video materials taken from an open database.The process of creating a longread and its promotion in the global network is technically interesting for a new generation of readers: presentation graphics programs (for example, MS Power Point) or programs for creating video clips (for example, Movie Maker) are most often used to develop longreads.At each stage of the development of culture, the formats of the text change, but reading retains its importance, being a way of socialization, a source of education and a form of communication.The creation of a longread as a creative project and a product of teamwork is one of the clearest examples of the actualization of reading in the conditions of digitalization of society.
Editorial IEEE Transactions on Games: The First Four Years

Presents the editor's experiences with the first four years working on IEEE Transactions on Games.
Virtual Assistant with Applications of IOT

Abstract: Man-made consciousness innovations are starting to be effectively utilized in human existence, this is worked with by the appearance and wide scattering of the Internet of Things (IOT). Independent gadgets are becoming more intelligent in their manner to communicate with both a human and themselves. New limits lead to making of different frameworks for mix of savvy things into Social Networks of the Internet of Things. One of the important patterns in man-made brainpower is the innovation of perceiving the normal language of a human. New experiences in this theme can prompt new method for normal humanmachine cooperation, in which the machine would figure out how to comprehend human's language, changing and connecting in it. One of such devices is voice associate, which can be incorporated into numerous other shrewd frameworks. In this workshop, the standards of the working of voice collaborators are depicted, its principle weaknesses and restrictions are given. The strategy for making a neighborhood voice colleague without utilizing cloud administrations is depicted, which permits to altogether grow the pertinence of such gadgets later on.
Stage direction as a phenomenon of theater of the XXI century

The purpose of the article. The research is connected with the process of assimilation of theatrical direction with the profession of stage designer as a determining trend in the development of modern theater. The methodology is based on the use of comparative, historical, and dynamic methods. This methodological approach allows us to analyze the formation of scenographic direction in time, as well as to highlight the algorithm for the birth of a scenographic image by the director of the performance. The scientific novelty of the work lies in the expansion of ideas about the evolution of directing as a profession towards the profession of a stage designer and about the emergence of a stage mix “stage design direction”. Conclusions. Scenographic direction as a product of the historical evolution of director's art has significantly enriched the figurative philosophical and spectacular components of the theatrical work. At the same time, there is a dynamic tendency of a certain release of the director from the captivity of the playwright, the conquest of the author's text by the director's concept of the performance. The study of the phenomenon of the formation of "scenographic directing" will contribute to the improvement of theatrical education, the correction of educational programs of theatrical educational institutions, taking into account modern trends in the development of the art of directing.
Computation of Wavelet and Multiwavelet Transforms Using Fast Fourier Transform

A novel fast and efficient algorithm was proposed that uses the Fast Fourier Transform (FFT) as a tool to compute the Discrete Wavelet Transform (DWT) and Discrete Multiwavelet Transform. The Haar Wavelet Transform and the GHM system are shown to be a special case of the proposed algorithm, where the discrete linear convolution will adapt to achieve the desired approximation and detail coefficients. Assuming that no intermediate coefficients are canceled and no approximations are made, the algorithm will give the exact solution. Hence the proposed algorithm provides an efficient complexity verses accuracy tradeoff. The main advantages of the proposed algorithm is that high band and the low band coefficients can be exploited for several classes of signals resulting in very low computation.
The Role of Computers in the Development of Odia Language

Abstract: Any language computer can be useful if the above two requirements are met. But we can only accept such behavior as a modern writing system. In other words, in the past we used to write with palm leaves and pencils, then we used to write on paper, then we used typewriters and typewriters. Now we can write via computer. This is the best way to write and print. This requirement is available in almost all languages, this requirement has been met by the Odia language since the 180s, which means that this year we have been able to type the letters of the Odia language on the computer and print it on the printer. This is the first step in using a computer language. The second step in making a language useful to a computer is: understanding the computer. Computers understand a language through a variety of programs. This requires connecting the operating system to a new language. It is imperative that the language be integrated into the Unicode system. Unicode has provided a code for the scripts of the world's most computer-friendly languages. This code can be understood by the operating system. As a result, it is possible to Unicode the computer by naming that language, sorting it from scratch, searching for a file or folder named in that language, deleting any incorrect word koji, and so on. Fortunately, the Odia language scripts were included in the Unicode in 2006. Odia is the third largest Indian language in this regard. Keywords: typewriters, computer, languages, Unicode, folder, deleting, scripts, Odia, Indian language,