Reviewerly/exHarmony huggingface dataset:
Communication Sentiment Analyzer using Machine Learning with Naive Bayes Bernoullinb

In this never-ending social media era it is estimated that over 5 billion people use smartphones. Out of these, there are over 1.5 billion active users in the world. In which we all are a major part and before opening our messages we all are curious about what message we have received. No doubt, we all always hope for a good message to be received. So Sentiment analysis on social media data has been seen by many as an effective tool to monitor user preferences and inclination. Finally, we propose a scalable machine learning model to analyze the polarity of a communicative text using Naive Bayes’ Bernoulli classifier. This paper works on only two polarities that is whether the sentence is positive or negative. Bernoulli classifier is used in this paper because it is best suited for binary inputs which in turn enhances the accuracy of up to 97%.
Fiction cosmos as an object of interpretation

The degree of comprehensibility of any art creation depends on its perception as a coherent whole. It is one of the axioms of hermeneutics. Nonetheless, the internal links of a fictional text can be divided into two different types by similarity and by contrast. This fact allows for an analogy that is due to the fiction world being somewhat similar to the real world, i.e., arranged quite in line with the doctrine of the ancient Greek philosopher Empedocles. This philosopher thought the complex unity of the cosmos to be organized by two opposite powers - Love (φιλία) and Feud (νέικος). A modern physicist would call them the forces of attraction and repulsion. The analogs of “love” attraction and “hostile” repulsion are a symbolic representation and a tension of opposite values in a fiction world. When drawing the above analogy, one should take into account the fact that the art world, unlike the real one, has a purely intentional character, that is, all its objects and the connections between them are mediated by the consciousness and value-based intention of the author, the protagonist, and the reader. These opposing powers of “Love” and “Feud” may also be called the integral and differential axes of the value-semantic structure coordinates of the fiction cosmos. It is in these coordinates that the aesthetic event and the comprehensive participation of the reader take place. The paper provides a number of analyses of various works and fragments of fiction to substantiate the above-formulated thesis.
Mapping Ancient Heritage Narratives with Digital Tools

How does 'digital' apply to ancient pasts?Digital methods, especially methods relating to identifying, visualizing, and analysing spatial data, have become increasingly important within the fields of classical literature, archaeology, and heritage.On the one hand, literary narratives offer potentially different ways of representing space and place than the usual cartographic maps to which we have become accustomed.On the other hand, by virtue of being able to locate cultural artefacts in space -where they were found, through whose hands they have passed, where they reside now, where they were produced and circulated -it becomes possible to construct biographies or even itineraries of objects that offer richer ways of understanding their use and agency.Unique in all classical literature, Pausanias's second-century CE Periegesis Hellados presents an example of both types of spatial representation -a narrative that describes places of interest in the Greek landscape as well as the notable objects found there.This chapter discusses some of the ways in which Pausanias's narrative of Greek heritage is good to consider when attempting to use digital methods for analysing the entanglements of place, people, and objects in a textual geography.
From Knowing to Feeling

Visual and auditory processes represent sensory information, but do not evaluate its importance for survival or success. Interactions between perceptual/cognitive and evaluative reinforcement/emotional/motivational mechanisms accomplish this. Cognitive-emotional resonances support conscious feelings, knowing their source, and controlling motivation and responses to acquire valued goals. Also explained is how emotions may affect behavior without being conscious, and how learning adaptively times actions to achieve desired goals. Breakdowns in cognitive-emotional resonances can cause symptoms of mental disorders such as depression, autism, schizophrenia, and ADHD, including explanations of how affective meanings fail to organize behavior when this happens. Historic trends in the understanding of cognition and emotion are summarized, including work of Chomsky and Skinner. Brain circuits of conditioned reinforcer learning and incentive motivational learning are modeled, including the inverted-U in conditioning as a function of interstimulus interval, secondary conditioning, and attentional blocking and unblocking. How humans and animals act as minimal adaptive predictors is explained using the CogEM model’s interactions between sensory cortices, amygdala, and orbitofrontal cortex. Cognitive-emotional properties solve phylogenetically ancient Synchronization and Persistence Problems using circuits that are conserved between mollusks and humans. Avalanche command circuits for learning arbitrary sequences of sensory-motor acts, dating back to crustacea, increase their sensitivity to environmental feedback as they morph over phylogeny into mammalian cognitive and emotional circuits. Antagonistic rebounds drive affective extinction. READ circuits model how life-long learning occurs without associative saturation or passive forgetting. Affective memories of opponent emotions like fear vs. relief can then persist until they are disconfirmed by environmental feedback.
Physics News

Physik in unserer ZeitVolume 52, Issue 4 p. 167-167 Treffpunkt Forschung Physics News First published: 01 July 2021 https://doi.org/10.1002/piuz.202170408Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume52, Issue4July 2021Pages 167-167 RelatedInformation
The Reality of using Information Technology in Distance Learning Experience of the United Arab Emirates in the Shadow of the Covid-19 Pandemic

The study aims to shed light on the challenges and exceptional circumstances left by the emerging corona virus (Covid-19) pandemic, new data that had profound effects in all fields, including the educational process, where the remote education system was used instead of students' regular attendance in schools and universities, The United Arab Emirates was one of the first countries that took the initiative to implement this information technology system in its different dimensions, a different pattern for calls for all inputs and outputs, especially with regard to facing the use of the challenges created by the Corona outbreak in the reality of using information technology to complete educational processes in Emirati schools and universities and work on Re-establishing a role for the concepts of continuing education, distance education and correspondence education, which has shown some success in self-education for school and university students in light of the pandemic for the various educational stages and the need to keep pace with the rapid developments in the use of information technology in remote education from their homes and places. And it is an attempt to integrate and fuse between the reality of using information technology and distance education in order to achieve the desired goals to improve integration between the Ministry and the UAE universities at the national level in benefiting from the infrastructure of information technology that the country began to implement from the year 2017, and therefore for the real integration in achieving the scientific needs of education and learning something. Which aids in fusing aptly into the information and knowledge society.
RESEARCH SKILLS DEVELOPMENT OF FUTURE FOREIGN LANGUAGE TEACHERS THROUGH PROJECT-BASED LEARNING

We hope to believe that this article makes a certain theoretical and practical contribution to the development of research skills of future foreign language teacher. By research skills of future foreign language teachers,we understand a complex and multifaceted concept that had not received the detailed consideration in the existing literature before. We have studied and identified abilities comprising the core of the research skills. The principles of the educational process aimed at the development of research skills of future foreign language teachers on the basement of project-based learning have been highlighted. The steps of future foreign language teachers’ research skills development has been constructed using theoretical project-based learning background; essential features of project-based learning assessment have been suggested and recommendations were provided to show the efficiency of the research skills development on the basis of project-based learning.
Peer review declaration

Abstract All papers published in this volume of IOP Conference Series: Earth and Environmental Science has been peer reviewed through processes administered by the Editors. The review processes were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind/Double-blind/Triple-blind/Open/Other (please describe) Double-blind: All papers came through the basic review which included an initial technical criteria check (paper field, structure of submission, adherence to the submission instructions, English language usage and the ethics of scientific writing including a check for the similarity rate). Any papers out of the scope or containing plagiarism were rejected directly. The initial technical criteria check by the editors. The accepted papers came through peer review process by two professional experts in the related subject area. After the peer review process was complete, the editors decide that the papers will be accepted for publication. • Conference submission management system: Email 2 nd International Conference on Fisheries and Marine submission on https://unkhair.ac.id/ • Number of submissions received: 150 • Number of submissions sent for review: 88 • Number of submissions accepted: 73 • Acceptance Rate (Number of Submissions Accepted/Number of Submissions Received X 100): 48% • Average number of reviews per paper: 2 • Total number of reviewers involved: 35 • Any additional info on review process: • Contact person for queries: najamuddin313@gmail.com Dr. Najamuddin Department of Marine Science, Faculty of Fisheries and Marine Science, Khairun University, Indonesia
Biophotonics (NSF)

Federal Grants & ContractsVolume 45, Issue 15 p. 2-3 Grants alerts Biophotonics (NSF) First published: 02 July 2021 https://doi.org/10.1002/fgc.31809Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue158 July 2021Pages 2-3 RelatedInformation
Non-Verbal (Sign Language) To Verbal Language Translator Using Convolutional Neural Network

Abstract: Communication is very imperative for daily life. Normal people use verbal language for communication while people with disabilities use sign language for communication. Sign language is a way of communicating by using the hand gestures and parts of the body instead of speaking and listening. As not all people are familiar with sign language, there lies a language barrier. There has been much research in this field to remove this barrier. There are mainly 2 ways in which we can convert the sign language into speech or text to close the gap, i.e. , Sensor based technique,and Image processing. In this paper we will have a look at the Image processing technique, for which we will be using the Convolutional Neural Network (CNN). So, we have built a sign detector, which will recognise the sign numbers from 1 to 10. It can be easily extended to recognise other hand gestures including alphabets (A- Z) and expressions. We are creating this model based on Indian Sign Language(ISL). Keywords: Multi Level Perceptron (MLP), Convolutional Neural Network (CNN), Indian Sign Language(ISL), Region of interest(ROI), Artificial Neural Network(ANN), VGG 16(CNN vision architecture model), SGD(Stochastic Gradient Descent).
Samples clustering

statistically motivated clustering, probability based similarity measure, multiple comparisons, random coincidences, branching processes.
Visual Quality Improvement Using Single Image Defogging Technique

In the wintry weather period, haze is the prime confront during driving. It eliminates the visibility of an image. Fog removal techniques are required to improve the visibility level of the image. In this chapter, a hybrid approach is implemented for fog removal. The expected approach utilizes the basic concepts of Dark Channel Prior and Bright Channel Prior. Apart from this, order statistic filter would use to refine the transmission map. The bright channel prior to boundary constraints would use to restore the edges. The proposed technique has been compared with existing techniques over a set of well-known foggy images. The proposed approach outperforms the predefined techniques in terms of average gradient and percentage of saturated pixels.
Applying the deep approach to improve student’s English learning

Innovative pedagogy in language education has always been concerned and addressed by numerous researchers as well as educators. First, in the literature review, the paper will provide a synthesis of previous findings about the deep approach and the project-based learning as a deep approach. Finally, the paper will discuss the application of the aforementioned approaches in the context of Vietnam, draw a conclusion and give some relevant suggestions for future projects.
Videography Modelling of the Wave-structure Interaction Processes through Cluster Analysis

This contribution presents the application of the videography as a low-cost, non-intrusive alternative to measure the wave-structure interaction processes.To this purpose, a full-HD camera was used to film laboratory tests of wave overtopping against a sea-dike.From the image processing, the flow depths over the dikes, the wave celerities, the wave spectra and the amount of the air entrapped in the overtopping tongue were estimated.The results of this analysis were successfully compared to the measurements from traditional techniques.
Optimization of Bali Tourism Recommendations Based on Personal Motivation of Tourists Using the Naive Bayes Algorithm

In the recovery of the tourism sector in Bali due to COVID-19, a solution is needed with the aim of making tourists more interested in having a vacation in Bali. One of the solutions that can be offered is optimizing the tourist recommendations on the island of Bali, because so far tourists only get travel recommendations from travel agents and guides who usually recommend favorite tourist destinations, and sometimes guides recommend tourist attractions according to their personal wishes or goals. making tourists less optimal in enjoying tourist attractions in Bali. Optimization of Bali Tourism Recommendations Based on Tourist Personal Motivation Using the Naive Bayes Algorithm, is one solution to optimize tourism recommendations in Bali, where tourist recommendations are taken based on tourist characteristics using the Naïve Bayes Algorithm. In this study the authors used 180 training data, and the results of this study indicate that the personal motivation of tourists who are processed using the Naïve Bayes algorithm is feasible to use for tourism recommendations in Bali.&#x0D; Keywords: Recommendation Optimization, Personal Motivation, Naïve Bayes.
Subjectivity reducing in software version criticality classification with the support of an expert system

In the software version release management process, there is a need, on the part of human specialists, to classify the criticality of each software version. However, the subjectivity of this classification may be present according to the experience acquired by specialists over the years. To reduce subjectivity in the process, an Artificial Intelligence technique called Expert System (ES) can be applied to represent the knowledge of human specialists and use it in problem solving. Thus, the aim of this paper was to reduce the subjectivity in the criticality classification of the software version with the support of the Expert System. To this end, a questionnaire was developed with the objective of obtaining the criticality opinions classified as High, Medium and Low in each specialist's software version to assist in the preparation of the ES production rules. ES generated 17 production rules with a 100% confidence level applied to a production database. The results of the classification carried out by the ES corresponded to the classification carried out by the specialists in the production base, that is, the ES was able to represent their knowledge. Then, another questionnaire was applied to the specialists to verify the perception of satisfaction regarding the use of the ES with a result obtained of 4.8, considered satisfactory. It was concluded, then, that the ES supported the reduction of subjectivity in the classification of the criticality of software version.
Pollard's Ro-Method for Finding a Discrete Logarithm in the Case of its Low Weight

n this paper, we present a modification of Pollard's ro-method for searching for a discrete logarithm in the case when it is expressed by a binary vector of relatively small weight. In this case, it is necessary to change the procedure for iterating through random elements of the group under consideration in order to remain in the set of discrete logarithms expressed by binary vectors of low weight. We assume that this weight does not exceed half the length of the input word in the algorithm under consideration. To the other hand the case, when some close approximation of discrete logarithm is known considered. The paper uses estimates for binomial coefficients, the birthday paradox theorem, and the Berry-Esseen theorem for the Bernoulli scheme.
Application of Quicksort Algorithm in Information Retrieval

With the development and progress of today’s network information technology, a variety of large-scale network databases have emerged with the situation, such as Baidu Library and Weipu Database, the number of documents in the inventory has reached nearly one million. So how do you quickly and effectively retrieve the information you want in such a huge database? This requires finding efficient algorithms to reduce the computational complexity of the computer during Information Retrieval, improve retrieval efficiency, and adapt to the rapid expansion of document data. The Quicksort Algorithm gives different weights to each position of the document, and multiplies the weight of each position with the number of matches of that position, and then adds all the multiplied sums to set a feature value for Quicksort, which can achieve the full accuracy of Information Retrieval. Therefore, the purpose of this paper is to use the quick sort algorithm to increase the speed of Information Retrieval, and to use the position weighting algorithm to improve the matching quality of Information Retrieval, so as to achieve the overall effect of improving the efficiency of Information Retrieval.
FORMAT EVOLUTION

The article is an attempt to consider the historical development of social relations, leading through information technology to the transition from the classical format of coordination of an individual and a group to its technical counterpart in a postulated society based on knowledge. Schematically, the struc-ture of development appears in the isolation of an individual from the collective in connection with the formation in the course of better adaptation of a reflexive ability leading to an awareness of one's own mortality. The compensating mechanism at the next stage of adaptation of cognitive abilities that restore the internal balance of the body due to purely psychological mechanisms is the development of practices that allow hypostatic ideas about things in a special space responsible for their immutability and virtual constancy. In contrast to the physiological mechanisms of homeostasis of an individual in contact with the external environment, where its objects appear as unconditionally necessary sources of satisfying the need, reorientation in connection with the recognition of imminent death to the internal environment in order to search for such saving practices has generated a personal homeostasis in which the formed ability linked an individual not only with himself due to the virtual construction, but also at a new level of relations - with community, giving rise to indirect communication individuals related to social homeostasis. In the new conditions of the information society, technological formats are digital analogues of the classical coordination of an individual and a group. Due to technological development, further diversification of reality into virtual and real in a successive change in the configurations of the organism / individual / personality – herd / community / group relationships in its informational diversity removes the distinction between virtual constructs and real ones. Obtaining software, due to which classical formats based on hierophany (manifestation of the sacred) are replaced and reformatted without changing their functionality by electronic versions, informants in the conditions of atomization build a personality-group structure, where the identity of being and the concept of being are configured according to the required informat. In the future, self-determination of personality and self-organization of groups receive impersonal instability.
Large Field of View Focal Stack Generation Based on Spatial Consistent Stitching

Large FOV focal stack can be generated by stitching the small FOV RGB-D data and PSFs estimation. Spatial information clustering and spatial consistent reference are used to maintain the spatial consistency.
Designing an effective calculation of a cluster analysis task

This paper investigates the problems of the algorithmic complexity of a cluster analysis task. The issues like further development of effective calculating methods and their inclusion in the system of data processing and realization of the proposed algorithm have been outlined, and the ways of further development of the algorithms have been reflected.