Reviewerly/exHarmony huggingface dataset:
Sentiment Analysis of Tweets Using Logistic Regression and Neural Networks with Emojis and Emoticons

Abstract Emojis and emoticons have become ubiquitous in digital communication, providing additional cues for sentiment analysis beyond just the text. This paper explores sentiment analysis specifically using emojis and emoticons in text data. We conduct experiments to determine the impact of emojis and emoticons on sentiment classification performance. Models are developed using a benchmark Twitter dataset labeled for sentiment. We compare models trained on just text data versus models trained on text data enhanced with emojis and emoticons. Results demonstrate that incorporating emoji and emoticon features leads to significant gains in sentiment classification accuracy. Further analysis provides insights into the most informative emoji and emoticon features for sentiment analysis. The findings suggest emojis and emoticons should be considered as important features in sentiment analysis systems dealing with informal digital text.
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs

In this paper we propose a pooling approach for convolutional information processing on graphs relying on the theory of graphons and limits of dense graph sequences. We present three methods that exploit the induced graphon representation of graphs and graph signals on partitions of [0, 1] <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> in the graphon space. As a result we derive low dimensional representations of the convolutional operators, while a dimensionality reduction of the signals is achieved by simple local interpolation of functions in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ([0, 1]). We prove that those low dimensional representations constitute a convergent sequence of graphs and graph signals, respectively. The methods proposed and the theoretical guarantees that we provide show that the reduced graphs and signals inherit spectral-structural properties of the original quantities. We evaluate our approach with a set of numerical experiments performed on graph neural networks (GNNs) that rely on graphon pooling. We observe that graphon pooling performs significantly better than other approaches proposed in the literature when dimensionality reduction ratios between layers are large. We also observe that when graphon pooling is used we have, in general, less overfitting and lower computational cost.
See SIFT in a Rain

Rain streaks bring complicated pixel intensity changes and additional gradients, greatly obstructing the extraction of image features from background. This causes serious performance degradation in feature-based applications. Thus, it is critical to remove rain streaks from a single rainy image to recover image features. Recently, many excellent image deraining methods have made remarkable progress. However, these human visual system-driven approaches mainly focus on improving image quality with pixel recovery as loss function, and neglect how to enhance image feature recovery ability. To address this issue, we propose a task-driven image deraining algorithm to strengthen image feature supply for subsequent feature-based applications. Due to the extensive use and strong practicability of Scale-Invariant Feature Transform (SIFT), we first propose two separate networks using distinct losses and modules to achieve two goals, respectively. One is difference of Gaussian (DoG) pyramid recovery network (DPRNet) for SIFT detection, and the other gradients of Gaussian images recovery network (GGIRNet) for SIFT description. Second, in the DPRNet we propose an alternative interest point loss that directly penalizes scale response extrema to recover the DoG pyramid. Third, we advance a gradient attention module in the GGIRNet to recover those gradients of Gaussian images. Finally, with the recovered DoG pyramid and gradients, we can regain SIFT key points. This divide-and-conquer scheme to set different objectives for SIFT detection and description leads to good robustness. Compared with state-of-the-art methods, experimental results demonstrate that our proposed algorithm achieves better performance in both the number of recovered SIFT key points and their accuracy.
Addressing the Performance of Blockchain by Discussing Sharding Techniques

Blockchain technology is extensively used for cryptocurrencies and is considered for industrial applications due to features like decentralization, anonymity, and a tamper-proof history of transactions. However, the well-known blockchain trilemma of being unable to simultaneously meet the properties of decentralization, security, and scalability (DSS) negatively impacts widespread acceptance. Numerous solutions have been put forward in response to this challenge, aiming to increase performance and scalability while retaining the decentralized and trustless aspects. They range from introducing off-chain technologies to changing consensus algorithms and on-chain data structures. One of the most effective methods to accomplish horizontal scalability along with the growing network size could be sharding, which involves dividing the network of nodes into numerous shards or channels. The overhead of repetitive communication, storage, and processing at each node is decreased by this technique. This paper explores various sharding approaches to solve performance issues regarding blockchain. We review recent sharding technologies, including Polkadot, Ethereum Casper, and Cardano Hydra. We discuss the performance challenges of blockchains and provide essential insights into the tradeoffs.
CLIP THINKING AS A DRIVER OF MODERN EDUCATION

The article reveals the problems of modern schoolchildren and students’ new type of thinking, formed through the Internet dominant role in the information search and processing. Young people are in information noise conditions, while there are no tools to influence the information flow, the only way to avoid overwork is to perceive incoming information in fragments like in a clip. In this article the author made an attempt to consider comprehensively the phenomenon of clip thinking, to determine the factors contributing to its appearance in generation Z, to analyze the criteria of cognitive-perceptual activity of clip thinking. This kind of analysis is feasible because of the interdisciplinarity of the phenomenon under consideration. The obtained results clearly illustrate the situation of the negative clip thinking impact on the traditional education system, since it is not able to fully ensure the material qualitative perception by students. Experts in this field note the need to change the entire structure in an evolutionary way, not breaking the usual scheme, but supplementing it with effective tools that help activate the clip thinking constructive aspects, including multitasking, information received rapid processing, solving tasks with the various modalities’ involvement. The use of relevant techniques in the educational process, provided by the various mobile devices’ potential, allows students to be interested, to teach them to work systematically and logically on a problem, to analyze, synthesize and verify the information that they generate themselves. The basic platforms, according to the author’s opinion, can be game learning platforms variety that involve in the educational process not only standard sources of information - textbooks, but also mobile devices that work as a digital ecosystem that allows you to solve any task of activating the potential of clip thinking. In conclusion, it was realized that the process of the classical educational system transformation is dynamically but systematically changing under the influence of a new thought process of the modern digital generation.
A Study on the Impact of Cloud Computing Performance Efficiency on Task Resource Scheduling

Abstract In this paper, the inertia weighting strategy of the particle swarm is improved by using the properties of periodicity and fixed upper and lower bounds of sinusoidal function to model the task scheduling problem in cloud computing as a mathematical problem, and the improved particle swarm algorithm is discretized, and the improved discrete particle swarm algorithm is applied to task scheduling by corresponding encoding method. The task scheduling algorithm (PSOACO) that fuses the fast convergence and small computational power of the particle swarm algorithm with the global exploration capability of the ant colony algorithm for scheduling tasks is proposed. Two test cases, PageRank and wordcount, are selected to measure the performance of the PSO-ACO algorithm. In the performance comparison running the PageRank test case, the PSO-ACO algorithm obtains a performance speedup ratio of 3.8 times that of the native Domino when 50,000 pages are added. In the execution time comparison for the wordcount test case with an additional data set, the PSO-ACO algorithm is nearly 2.8 times faster than the native Domino when adding 1GB of data. Thus, the fusion algorithm reduces the task completion time and achieves a balance between the algorithm’s computational effort and the scheduling’s convergence performance.
The Reality and Redefinition of Snuff

While the imagined aesthetic of snuff is irrevocably tied to analogue technology and an aesthetic common to twentieth-century media, in the twenty-first century, the actual aesthetic of the snuff movie is far more likely to be a high-definition digital presentation that is circulated via ‘Tube’ sites online. In an era that has democratised processes of production and consumption, increased access to video recording technology through smartphones, webcams and other digital video platforms has not only increased the likelihood of snuff being produced, but it has also increased the likelihood these videos will be shared freely online across the internet. The success of these platforms has created an alternative economy that challenges the ideas of profit that informed the FBI definition of what would constitutes a snuff movie. Using the tragic murder of Jun Lin by the cannibal killer Luka Magnotta, this final chapter will explore this alternative economy and consider whether, in the twenty-first century and the era of participatory media, it is time to redefine one of the central tenets of the snuff movie.
Stage as an Expanse of Artistic Research by Director-Author. Part 3. A. Vaida, K. Zanussi: Theatre as an Experimental Field of Activity

The purpose of the article is to identify the problems of creativity of auteur directors who have realised their artistic potential both in auteur cinema and in the field of stage art and to define scientific guidelines that will contribute to a comprehensive analysis of the phenomenon of the film author in the performing arts. Research methodology. Methods of scientific analysis, comparison, generalisation, and self-analysis of the artist were used in the study. In addition, analytical and systematic methods were applied in their unity, which is necessary for the study of the art historical aspect of the problem. The scientific novelty of the study is to define the universality of directing as a specific type of artistic and aesthetic activity; to clarify the mutual influence of stage and screen arts in the use of expressive means; to determine the peculiarities of the film author's activity in the stage space through the adaptation of screen means in theatrical productions, which for the first time became the subject of a special study; in highlighting the universal activities of auteur directors who reformed the cinematic language and the language of stage staging; in identifying original principles of film construction and specific means of cinematic expression that were not only directly embodied in films and contributed to the emergence of outstanding auteur cinematic works, but also had a significant impact on auteur theatre directing, which was distinguished by the search for visualisation of stage images. Conclusions. It is proved that the stage work of film directors-authors questions the theoretical postulates about the harmfulness of the invasion of theatre culture on the screen. It is found that the visual and expressive means that provide the chronology of image creation (long shots, intra-frame editing, acoustic, light and shadow effects), the use of which is considered a high degree of skill in cinema, have their origins in the stage art.&#x0D; Key words: director-author, stage space, directorial means, theatre, stage, screen, performance, television.
Comprehensive Evaluation Model of Professional Normal University Talents Based on FAHP-BP

In order to solve the problem of combination of qualitative and quantitative evaluation in the process of constructing the talent evaluation index system of vocational normal universities, based on the analysis of the principle of constructing the talent evaluation index system of vocational normal universities, this article puts forward a comprehensive evaluation model of vocational normal universities talent based on Fuzzy Analytic Hierarchy Process (FAHP) - BP neural network, and constructs a relatively complete comprehensive evaluation index system of vocational normal universities talents. The model can be used to evaluate teachers in all directions and at multiple levels, and provide an important basis for school human resources management. Experimental results show that the evaluation model has the highest 89.4% praise rate.
Poe’s Tintamarre

This chapter uncovers a certain proto-phonographic imaginary in Edgar Allan Poe’s writings, while considering the particular trajectory of this thought in transatlantic audiovisual culture. Poe’s writings about science, urban life, and modern technological innovations enter into dialogue with Cros and Baudelaire. Acoustic figures in Poe’s literary works (“The Fall of the House of Usher” and “The Facts in the Case of M. Valdemar” especially) form part of Poe’s search for a “more absolute truth” discoverable by listening to the past, as in his mystifying text “Eureka” (1848), which is at once prose poem and prophetic scientific treatise. While the connection between Poe and Baudelaire is well established in the scholarly literature, this chapter makes the case that a fecund and largely unexplored dialogue exists between Poe and the other authors considered in this book, especially Cros in the scientific context and Villard in the literary context.
Adaptive Optimized Discriminative Learning based Image Deblurring using Deep CNN

Image degradation plays a major problem in many image processing applications. Due to blurring, the quality of an image is degraded and there will be a reduction in bandwidth. Blur in an image is due to variations in atmospheric turbulence, focal length, camera settings, etc. Various types of blurs include Gaussian blur, Motion blur, Out-of-focus blur. The effect of noise along with blur further corrupts the captured image. Many techniques have evolved to deblur the degraded image. The leading approach to solve various degraded images are either based on discriminative learning models or on optimization models. Each method has its own advantages and disadvantages. Learning by discriminative methods is faster but restricted to a specific task whereas optimization models handle flexibly but consume more time. Integrating optimization models suitably by learning with discriminative manner results in effective image restoration. In this paper, a set of effective and fast Convolutional Neural Networks (CNNs) are employed to deblur the Gaussian, motion and out-of-focus blurred images that integrate with optimization models to further avoid noise effects. The proposed methods work more efficiently for applications with low-level vision.
The Forgery Attack on the Post-Quantum AJPS-2 Cryptosystem and Modification of the AJPS-2 Cryptosystem by Changing the Class of Numbers Used as a Module

In recent years, post-quantum (quantum-resistant) cryptography has been actively researched, in particular, due to the National Institute of Standards and Technology's (NIST) Post-Quantum Cryptography Competition (PQC), which has been running since 2017. One of the participants in the first round of the competition is the Mersenne-756839 key encapsulation mechanism based on the AJPS-2 encryption scheme. The arithmetic modulo Mersenne number is used to construct the cryptoprimitives of the AJPS family. In this paper, we propose a forgery attack on the AJPS-2 cryptosystem using an active eavesdropper, and two modifications of the post-quantum AJPS-2 cryptosystem, namely, the modification of AJPS-2 using the arithmetic modulo generalized Mersenne number and Crandall number. Moreover, new algebraic problems are defined, on the complexity of which the security of the created modifications is based. The advantages of these modifications are the extension of the number class used as a module in the cryptosystem and the security against the forgery attack with the active eavesdropper, which was successful in the original AJPS-2.
Defining of Goals in the Development of Cyber Resilient Systems According to NIST

&#x0D; &#x0D; &#x0D; This paper introduces an approach to defining goals in the development of cyber-resilient systems, following the guidelines established in the standards of the National Institute of Standards and Technology (NIST) in the United States. This work aims to provide a roadmap for researchers and practitioners of cyber resilience in creating information systems capable of withstanding and adapting to adverse conditions, malfunctions, and attacks while ensuring the guaranteed execution of all primary cyber-system functions.&#x0D; &#x0D; &#x0D;
Novel Proposed Work for Empirical Word Searching in Cloud Environment

People's lives have become much more convenient as a result of the development of cloud storage. The third-party server has received a lot of data from many people and businesses for storage. Therefore, it is necessary to ensure that the user's data is protected from prying eyes. In the cloud environment, searchable encryption technology is used to protect user information when retrieving data. The versatility of the scheme is, however, constrained by the fact that the majority of them only offer single-keyword searches and do not permit file changes.A novel empirical multi-keyword search in the cloud environment technique is offered as a solution to these issues. Additionally, it prevents the involvement of a third party in the transaction between data holder and user and guarantees integrity. Our system achieves authenticity at the data storage stage by numbering the files, verifying that the user receives a complete ciphertext. Our technique outperforms previous analogous schemes in terms of security and performance and is resistant to inside keyword guessing attacks.The server cannot detect if the same set of keywords is being looked for by several queries because our system generates randomized search queries. Both the number of keywords in a search query and the number of keywords in an encrypted document can be hidden. Our searchable encryption method is effective and protected from the adaptive chosen keywords threat at the same time.
Power Analysis Template Attacks on AES-128 Hardware Implementations and Protection Against Them

The purpose of this work is to research AES-128 power analysis template attack and propose a practical way to mitigate such kind of side-channel attacks. The research includes a review of power analysis side-channel attacks, an experiment with the collection of Atmega328PU chip power samples using Hantek 6022BE oscilloscope, processing collected data, and modeling – building a statistical template of the device and analyzing parameters of the side-channel attack.The work is focused on preparation and carrying out the experiment. The experimental bench layout and procedures for collecting and processing the data are considered in detail. The result of this work is the confirmation of the effectiveness of power analysis template attacks on AES-128 for Arduino Uno hardware, and a mechanism for mitigating such kind of attacks on the particular hardware and software implementation. Research materials described in the current work could be used for developing other side-channel template attack mitigation mechanisms for other cryptographic implementations.
Extremal graph theory and generation of quadratic multivariate transformations of Algebraic Post-Quantum Cryptography

We introduce large groups of quadratic transformations of a vector space over the finite fields defined via symbolic computations with the usage of algebraic constructions of Extremal Graph Theory. They can serve as platforms for the protocols of Noncommutative Cryptography. The modifications of these symbolic computations in the case of large fields of characteristic two allow us to define quadratic bijective multivariate public keys such that the inverses of public maps has a large polynomial degree. We suggest the usage of constructed protocols for the private delivery of quadratic encryption maps instead of the public usage of these transformations.
A Sample Model for Integrating Decentralized Payment Systems Through Common Gateway for E-commerce

E-commerce is constantly exploring opportunities to streamline payment service integration, particularly in terms of purchase channels and settlement methods. Traditionally, such integrations were provided through bank-acquirers. New initiatives such as Open Banking present a novel approach by offering a centralized gateway for third-party access to banking services. The purpose of this paper is to propose a sample model of a merchant gateway that leverages distributed ledger technology to enable seamless integrations with both purchase and settlement systems. The model holds the potential for accelerating purchase and withdrawal processing but also introduces new challenges that need to be addressed.
The Application of Ternary AHP in Adopting Security Certifications into Vocational Cyber Security Course

This study presents progress in revising curriculum of the Cyber Security course by integrating international security certifications from Cisco, ECCouncil and ISACA in a vocational education. The main objective of establishing a new Cyber Security curriculum is to improve the quality of learning materials and updating its contents in order to enhance student competitive advantages at international levels. Considering the issue involves multi criteria perspectives, the study proposes the application of Ternary Analytic Hierarchy Process (Ternary AHP) technique as a novel approach in dealing with the problem. Final result suggests selecting 14 topics from Cisco, ECCouncil and ISACA for the formation of the new curriculum of Cyber Security course.
Education-oriented Proof Assistant Based on Calculational Logic: Proof Theory Algorithms and Assessment Experience

This work presents an interactive proof assistant, based on Dijkstra-Scholten logic, aimed at teaching logic and discrete mathematics in higher education. The assistant interface is web and easy to use, since inferences can be made just with the mouse. The educational experience is presented showing a correlation between the grades of the assessments in class and those made with the application web. Additionally, an algorithm proof theory for the Disjktra-Scholten system are made and the following algorithms are shown: 1) a versatile printing algorithm that allows the administrator to configure the symbols of a theory, by assigning the desired presentation with LaTeX; 2) An algorithm, based on Broda and Damas combinators, for generate monotonic or anti monotonic inferences in the Dijkstra-Scholten logic; 3) An algorithm to generate the proofs of dual theorems in Boolean Algebra theory.