Reviewerly/exHarmony huggingface dataset:
An Overview to Blockchain and Future of Accounting &amp; Auditing in Blockchain Environment

The Fourth Industrial Revolution, popularly referred as “Industry 4.0”, involves innovations through digital technologies like artificial intelligence, internet of things, big data and blockchain. Blockchain has the potential to change the business processes across industries and can disrupt the way we carry out accounting as well as auditing functions! We must be ready to accept the challenges and opportunities being thrown by this recent “most talked about technology”!
CONTENT CHARACTERISTICS OF DEFINITION THE “DIFFICULT TEENAGERS”

The problem of upbringing of difficult teenagers in pedagogical theory and practice has been and remains the subject of special attention of pedagogical scientists were found out during analyzed scientific works in this article. The difficult teenagers in educational terms – are just ordinary children who have a specific personality particularity, namely, they are difficulties to upbringing. The children who are the difficult to upbringing, they are characterized by developmental defects and violations of norms and rules of behavior. This is why the difficult teenagers need the formation of moral and volitional qualities, the formation of socially significant value orientations, the mobilization of personal resources and sustainable socialization extremely hard.The complex patterns of adolescence, negative socio-economic and political processes, the parental views on upbringing and their pedagogical methods, shortcomings in the work of educational institutions also were mentioned in this article. And the category of difficult teenagers arose as a result of these influences.The essence and content of the concept the «difficult teenagers» has been determined in this article.
Course of Artificial Intelligence + Composition for Young Backbone Teachers

Based on the analysis of the needs in the education field, the basic application framework scenarios of the current artificial intelligence technology in the field of music education are constructed. The characteristics of various models (typed music model, Markov chain model, genetic algorithm model, neural network model, etc.) are used to improve the rule knowledge to form a practical and effective hybrid model. The innovation lies in combining non-note units (reproducing structures) in music composition to intelligently compose tracks by combining formulas and matrix data combinations. The project conducts in-depth cooperation on the training of composition teachers and students from the fields of curriculum teaching, practical teaching, and innovation competition, and strives to combine theoretical teaching and engineering cases, practical teaching and industrial products, subject competition and intelligent technology. Combination to achieve collaborative education of industry-academia cooperation.
IMPORTÂNCIA DO GRUPO TERAPÊUTICO MULTIDISCIPLINAR COMO MÉTODO DE EDUCAÇÃO EM SAÚDE PARA PESSOAS COM DIABETES MELLITUS

For a satisfactory development, the child needs an environmental support that enables the accomplishment of tasks typical of the development towards an integrated being.Establishing trust based on the bond with the mother so that her lack can be sustained and the process of dependence towards relative independence goes on safely and happily.In some cases, the process of development may be disturbed by an intrusive environment, which in the individual will cause an incessant search for objects that can supply the ego of the subject.Establishing good contact with the inner and outer world, that is, with one's own feelings and surroundings, is a difficult task encountered by a significant portion of the drug addicteds.Therefore, the present paper was aimed at relating human drug addiction, possible failures in the phase of transitionality advocated by Winnicott.Thus, this theory contributes to the visualization, on the part of the therapist, in the phase of development imbricated in this phenomenon, which will enable the analyst to meet the needs of the patient.
Texts Classification and Sustainability: A Case of Facebook Sub Genres

Facebook is one of the latest genres of internet social networks which have attained widespread popularity, yet its defining characteristics have not been systematically described. It has been labeled by some as a genre of possibilities implying that you can come across, new, interesting, unacceptable and controversial texts on FB. Again, it has been labeled a genre of possibilities since it is dynamic, complex and it uses multiple types of sources. FB has emerged as an effective tool for communicating social ties, keeping family and friends updated on latest issues and events, creating new affiliations and as a stage for political or democratic campaigns. The paper investigated the unique elements inherent in Facebook subgenre. It is an endeavour to understand the defining characteristics of Facebook sub genres. The study identified the most useful criteria for categorizing Facebook texts and also identifying the most typical or unique features of FB genres. The researchers endeavored to answer the question what is it that essentially determines the ‘Facebookness’ of FB genres? ‘The study investigated the defining mechanism and sustainability of FB subgenres and established that the most common subgenres on FB are comments, news links, democratic campaigns, business interactions, comments, groups, religious texts and visuals images. The concept The study made reference to some genre theorists in order to facilitate understanding on the aspect of genre classification and sustainability on FB. The study will assist Facebook users to understand the Facebook genres and contribute to the existing pool of applied linguistics knowledge
A New Electronic Contract System Model Based on Blockchain

In order to solve the problems of easy loss, tampering and difficulty in fine-grained sharing in the storage and sharing of the electronic contract (EC), a new electronic contract system model based on blockchain is proposed. The system allows registered users to perform related operations such as uploading, querying, authorizing, and verifying, etc., among Ordinary Users (OUs), Lawyer Users (LUs), and Court Users (CUs). By assigning user attribute sets to registered users, the system initiates the smart contract automatically to check whether user attributes match the EC access rules to achieve fine-grained sharing. Finally, the system was prototyped using Fabric as the underlying framework and the demonstration proved that the system can solve the above problems well.
THE SPACE OF HISTORICITY IN THE DIGITAL PARADIGM OF CULTURE

The purpose of the article is to reveal the virtual nature of historicity, clearly represented by digital practices, in a spatial aspect. The research methodology is oriented on “hermeneutical understanding”, which is interactive in nature and corresponds to the interpretational possibilities of virtual experience. The specifics of the latter conditioned a phenomenological approach to the question of the definability of the life world of subjectivity, in which the mutually exclusive factors interact. Liberal democratic reasons express the need for recreation, but they signify the unification of individuals. Historical self-consciousness is inherent in existence, but is lost in the absolute power of “here-and-now”. Sociocultural continuum bears the combination of the incompatible (grotesque), being-nonsense, but it exists as fully tangible for all. The characteristic of the transformed form of historicity, conditioned by its own virtual moment, in the aspect of space constitutes the scientific novelty of the work and allows us coming to the conclusion: the digital paradigm of space reveals the crisis of historicity through the dynamics of its virtual moment to the status of the instance of being. Thus, in terms of experiencing space, it is clear that it becomes meaningful through the image of movement based on the current accessibility of the flow. The mental quality of the space in the performance-effects is transformed into a mature declarative, and the temporality of history in the digital space is represented by the superimposition of gradations of infinity and speculative momentality in quasi-simultaneity. The movement of retrospective analysis from the unity of the historical and the logical – through the actualization of the subject – reaches a state of conditionally indefinable relation to the past. That is, the past – from the category conditioned by real facts and the deed of history – turns into a sort of a mark, from which the outlines of the future set off, loaded with “hyperreality”. The subject is a priori hypostasizing in such performances into the affective-bodily factor, manifests itself as a “hyper-sign” of the being, which is attributed to the abolition of the fullness of itself. In the sense of categorization of the basic attitude towards its reality, which is the basis of historicity, such abolition is expressed by imitation of free will, and this is obviously a comic form. The set fair obviousness and self-sufficiency of the virtual moment of historicity shows the process of canceling the obsolete integrity scenario (the subject of cultural experience) and its replacement with a virtual feature that is “prosthetic” by the digital continuum.
Video steganography network based on 3DCNN

In recent years, the steganography scheme based on neural network has made many significant progress on images, but it is still in the exploratory stage in the field of video steganography. By using long skip connections to extract the spatio-temporal information in the video, this paper proposes a 3DCNN full-video steganography network. The network takes a pair of cover and secret video sequences as input, and uses a stego network to output a spatio-temporal residual sequence, which is added to the cover video as a small disturbance. A video classification network is proposed, which can be used to identify the cover video frame and the stego video frame to assist the message receiver to extract the secret message correctly. We chose UCF101 video data set as the training and testing set of the network model. We used various video quality evaluation indicators (PSNR, SSIM, Pixel distribution) to measure the performance evaluation of the stego video network, and proved the anti-detection of the stego video by using some stego detection algorithms. Under the training and testing of the data set of stego videos generated by the stego network, the classification accuracy of the proposed video classification network reaches about 93%.
Computer Analysis Vulnerabilities Related To The Coronavirus Pandemic

The pandemic has accelerated the digital Transformation of most companies.The IT business has become even more critical for companies that had to adapt In an agile and efficient way during the crisis.As containment was implemented, companies worked at breakneck speed to ensure that the entire workforce could Continue to work from home efficiently.However, this new switchover creates new security constraints that create Vulnerabilities in IT systems.To carry out our work, after a short introduction, we studied the context of cyberattacks And the Covid-19 pandemic.We then analyzed the vulnerabilities in a computer system related to the Coronavirus.Our work ends with a proposal of protection mechanisms or barrier gestures against computer vulnerabilities related to the coronavirus and an example of the algorithm named FNCOVID to counter fake news or Phishing related to the coronavirus.
Evaluation of possibilities and risks in keeping bitcoins in the EU accounting records

Research background: Cryptocurrencies are a specific form of currency that has emerged with the rise of globalization and the Internet. At present, there are still no necessary guidelines to enable bitcoin to be accounted for uniformly, not even within the framework of the international accounting standards IFRS. Purpose of the article: That is to evaluate the possibilities of correct procedure in accounting for bitcoin according to applicable accounting regulations with identification of deficiencies and risks and overall impact on profit and loss statements and tax issues in reporting bitcoin, especially in income taxes and VAT. Methods: The evaluation will be performed using model examples that focus on the use of bitcoin in business. Four model examples: 1. bitcoin as a means of payment, 2. bitcoin extraction, 3. bitcoin speculation, 4. evaluation of bitcoin billing when paying salaries. For individual variants, income tax will be calculated according to valid regulations and any difference will be compared. Based on the synthesis of the obtained results of model examples, the reporting of bitcoin according to Czech accounting standards will be evaluated with subsequent recommendations for accounting entities and pointing out possible risks for reporting. Findings &amp; Value added: If an entity wishes to use bitcoin in the course of its business, it may be advised to create appropriate analytical accounts or off-balance sheet records. This issue should be discussed and addressed in the legislation. This is a global issue, so it is necessary to pay sufficient attention to the uniform approach in accounting.
Atuação do Fisioterapeuta em Dermato-Funcional em Pacientes de Pós-Operatório de Cirurgia Bariátrica: Uma Revisão de Literatura

Introduction: Obesity was defined as excessive accumulation of body fat, the result of an imbalance between food intake and energy expended.Metabolic Syndrome (MS) was considered the main cause of this disease.Bariatric surgery proved to be an effective tool in the control and treatment of obese individuals, who had failed conventional treatment.Objectives: to describe the performance of physiotherapy in accelerating the rehabilitation process, providing relief from pain, edema and patient functionality.Methodology: A literature review was carried out, through classic books and articles, in databases such as: Pubmed, Google Academic, Scielo.The books and articles used were produced in the last eleven years.Results: The role of physiotherapy in the postoperative period of bariatric surgery treats symptoms such as: edema.Lymphatic drainage provides tissue decongestion, as well as: provides faster healing.Discussion: Lymphatic drainage consisted of a massage modality, through precise, light, gentle, slow and rhythmic maneuvers, which follow the path of the superficial lymphatic system.Lymphatic drainage was effective in the treatment, as there is a reduction in edema in the postoperative period of surgery.Final considerations: The treatment of functional dermatological physiotherapy in patients undergoing bariatric surgery, in order to alleviate pain and edema in the immediate postoperative period, prevents and treats complications, in addition to providing a better quality of life
Bayesian Variable Selection For Semiparametric Logistic Regression

Regression analysis methods are fundamental in analyzing the relevant data by describing the relationship between a set of independent variables and the dependent variable (Kerlinger & Pedhazur, 1973).However, it is unable to describe and explain the relationships between the covariates and the response variable if the latter has binary value, where the nature of the response variable is required to be a continuous quantity and not a classification (Lea, 1997)[1].This is why the need has arisen for developing new statistical methods that have the
Solidarity and COVID-19

policies and contexts, including how the actor of solidarity is related to the human, natural and artefactual environments.
Lexicographic Breadth First-Search and Branch and Bound Algorithms for the Maximum Clique Problem

We perform an experimental analysis on five branch and bound based algorithms for the Maximum Clique problem.The goal is to evaluate the effectiveness of a certain heuristic for the bounding function.The analysis is done through the usual statistical hypothesis testing framework.The method shows itself powerful in discriminating the cases where the heuristic is effective and those where it is not.
MODERNIZATION AND MASS MEDIA EXPOSURE AMONG EDUCATED MUSLIM WOMEN: A STUDY OF BHOPAL DISTRICT .

Women have constituted important character in any society down the history.In the past women have been respected and enjoyed high status in society but at the same time they have witnessed cruelty, helplessness, violations and most suppressed character of the society.However, they have gone through the different phases of transformation.The women in present time are much stronger, confident, intelligent and organizer of the modern society.In this study we try to know what was the impact of Modernization and Mass media exposure on educated Muslim women in District Baramull and how Muslim women are getting modern or moving towards modernity.The other important research questions which we try to investigate in our study would be that What are the restriction faced by the Educated Muslim women with regard to education & career and what are the restrictions imposed by the family members while using social networking sites or using mass media communication and why?Additionally, we are try to examine What are the various changes that Mass Media has bought up in approach of Muslim women towards work & education.The expected outcome of the current research work would be that Modernization should have both positive as well as negative impact on Muslim women in District Baramulla.In the changing scenario, Muslim women are more exposed to the means of Mass Media communication.The other important outcome of the study would be that the pattern of mass media exposure shall be helpful in educated Muslim women in District Baramulla and the pattern of the mass media exposure shall lead towards modernization of the people.
Use of Computer Software in Education of Students in Primary School and Preschool

This work examines the Modern system of pre-school education, orienting society towards a new humanistic approach to the child as a developing individual, in need of understanding and respect for her interests and rights.
Frequency Translating Add/Drop Filters based on Electro-Optically Modulated Photonic Molecules

We demonstrate a new category of optical add-drop filters, with a frequency- translated drop-port response. Comprising modulated coupled resonators, they support Butter- worth, Chebyshev and other passband shapes typical to linear high-order filters.
PRECONDITIONS AND TENDENCIES OF APPLYING BENCHMARKETING TECHNOLOGIES TO TRAINING FUTURE VOCATIONAL TEACHERS

Research activity is an important component of the professional training of university students. Research activity includes social interaction of the subjects of this activity: students, scientifi c supervisors, specialists of the academic departments of educational organizations, experts, etc. To ensure interaction, as well as building up of students’ portfolios and a data bank of students’ scientifi c research, the information system «Bank of students’ research work» has been developed. The core of the information system is the description of students’ research work. The main functionality of the system is creating, editing and viewing information about scientifi c work; sorting, fi ltering and searching for work; communication with the authors, scientifi c leaders or the university administration; grade and analysis of students’ research work and creation of reports. The model represents the classes associated with the project database tables, the views implement web pages of the application, the controllers are the classes that implement all the logic of the application. The information system has the following modules: a catalog of students’ research projects, personal accounts of students and academic advisers, evaluation module and the administrative panel of the application. The project involves the accumulation of data on the students’ research activities, which must be analyzed to identify the most popular research areas among young scientists, as well as to determine the success of students’ projects. The calculation of the success of students’ work is based on the analysis of abstracts, articles and achievements (grants, prizes in various competitions) associated with the work, as well as it is based on the expert assessment. The introduction of a the bank of research work will allow: to implement the simplicity and transparency of tracking and assessing the students’ research activities, to organize the interaction of students engaged in research work in universities; to form a students’ portfolios, to accumulate a bank of projects for future students and their work, to analyze and form conclusions about students’ research work.
A Method of Soft-Sensing Log-Likelihood Ratios Based on Broad Learning System for NAND Flash Memories

To accelerate the convergence of the soft-decision decoder and improve the reading performance of the NAND flash memory, a multi-level reading method is usually adopted to sense precise log-likelihood ratios (LLR). However, multi-level readings interfere with the threshold voltage in the cells, increasing the probability of bit errors and accelerating cells wear. To solve this problem, this paper proposed an LLR soft-sensing method based on a broad learning system (BLS) to replace multi-level reading, which improves accuracy of sensing from 97.1% to 97.3% by using the raw bit error rate (RBER) as one of the inputs. The output classification probabilities of the network model are used to calculate the LLR. Compared with the multilayer perceptron model, the adoption of BLS hugely decreases the computation amount of network training from 113 epochs to 5, making on-chip retraining feasible. The proposed BLS-based LLR soft-sensing method will be of great application potential in the intelligent error control of non-volatile memories.
INSIGHTS FROM ONLINE CONSUMER REVIEWS [OCR] FOR ‘COVID19 GENERATION PRODUCTS’

Purpose: The pandemic virus spread COVID19 drives the use of sanitizers and masks. To broaden the online review characteristics like review length, star rating and sentiment scores for the masks and sanitizers, the product reviews are analysed through text analytics procedures on the time stamp from March 2020 to June 2020. Design /methodology /approach: With a specific set of research variables and hypotheses, the study fits into a descriptive research design. From the online product reviews of masks and sanitizers, random reviews are collected. In addition to the star rating in the consumer reviews, we have computed review length and sentiment scores. The review characteristics like review length, star rating and the sentiment scores are analysed across the time intervals [Before March 2020, March/April 2020, May 2020 and June 2020]. Findings: From the masks and sanitizer data, we have found that the review lengths are varying significantly for masks on the time stamp. The star rating assigned and sentiment scores of the reviews have seen a decreasing trend in the timeline for the masks and sanitizer. Originality: Research work addressing the product categories like masks and sanitizersis a new study context. The star ratings and the sentiment scores from the online reviews of the consumers for the masks and sanitizers are unique contributions from this research work.
Directional Guidance of a Person by Projection from a Mobile Guide Robot

Guidance of people is an important task for mobile robots that provide services. In this paper, we propose a method for a ground-projecting robot to guide a person based on the property that a person moves to a position where the projected image is easily visible. The proposed method rotates the projected image in guiding, guides the person's direction to another route direction and a guidance object, and realizes natural guidance. From the preliminary experimental results, it was shown that the direction of the subjects changed with the rotation of the projected image.