Reviewerly/exHarmony huggingface dataset:
MODELING OF THE CYBER-PHYSICAl IMMUNOSENSOR SYSTEM IN THE RECTANGULAR LATTICE BY USING DIFFERENCE EQUATIONS WITH DELAY

Due to the rapid development of science and technology, there is a growing need for accurate measurement of indicators that reflect and characterize the various physical processes in the alimentary and defense industry, economy, health, environmental changes and in other areas of human existence. Accordingly, this leads to the popularization of cyberphysical systems, which are characterized by a close connection between the studied physical object and the relevant software. Such attention to cyberphysical systems is the basis for the problem of developing new mathematical and computational tools for obtaining and analyzing the results of numerical modelling in their design. The main purpose of the article is to develop a mathematical and computer model of the cyberphysical immunosensory system using difference equations with delay on a rectangular lattice and investigate it stability. The methodological tools of the study are the difference equations with the delay. The object of research is the process of modelling the cyberphysical immunosensory system. The construction of the model in the article is carried out in the following logical sequence: the study of the functional diagram of the cyberphysical system, determining the requirements for the mathematical model, computer modelling of the investigated model. The results of experimental studies are received in the form of lattice images of antigens, antibodies, lattice images of the probability of binding of antigens to antibodies in biopixels, images of fluorescent pixels of systems and electrical signal from the converter, which characterizes the number of fluorescent pixels.
Preparing students for educational work with schoolchildren

The implementation of educational functions by a teacher is an important direction of his professional activity. The purpose of the article is to consider the possibilities of preparing students for educational work with rural schoolchildren during their studies at a pedagogical university. Its implementation is associated with the solution of a number of tasks: identifying the features of the functioning of schools in rural areas that affect the organization of educational activities with students; determining the key grounds for working with future rural teachers; designing components of a model that can be integrated into the main professional educational program to ensure targeted preparation of students for the education of students in a rural educational organization. The analysis of literature and experience in the training of teachers for the village allowed us to identify the features of the school, among the most significant, directly affecting the solutions of educational tasks can be attributed: a small, multi-age team, an expanded range of activities of the teacher within the framework of the implementation of educational functions, limited opportunities for social contacts and personal development of students in rural society. The key positions defining approaches to the activities of university teachers aimed at preparing future rural teachers for educational work are related to the selection of content that reveals its features, the definition of effective formats for its development, the identification of the specifics of solving educational tasks within the framework of educational and extracurricular activities of rural schoolchildren. The model of preparing students for educational work provides for the implementation of four components: target (goals and objectives of working with future specialists, determined on the basis of universal pedagogical competencies relevant to educational activities), content (informational, functional and technical aspects of training), technological (formats for the implementation of the main content components), effective (indicators of graduates' readiness for educational work, forms of control and evaluation of their manifestations).
Breast Cancer Detection System Using Deep Learning

Abstract: Breast Cancer detection and classification is very hard. In fact, tumor or cancer is a complex process during which mammogram images undergoes various transformations. In addition, different areas of image which exhibit variable and high appearance are characterized by various tissues. Our main benefaction of this process is image classification for cancer prediction and improvise its performance. We have trained and tested the implementation of our work on an opensource dataset. This project will be developed using python3. The project will be deployed on Jupyter IDE. Overall this project focuses on providing maximum performance and efficiency. Keywords: Mammogram, Python, Jupiter,Deep Learning, Artificial Intelligence, Cancer, Image Classification.
Class specific biased extrapolation of images in latent space for imbalanced image classification

Image classification performance using a deep neural network is based on the quality of training images.Well-designed and selected training set representing truth distribution of the classes enable the network to achieve improved accuracy.On the other hand in real applications, class training data imbalance problem limits training performance.Minor classes of relatively smaller training instances suffer from under-training and networks are over-trained on major classes.In this work, we study the effectiveness of prior re-sampling approaches for imbalanced image classification.We propose to investigate inter-class and within-class characteristics and conduct class specific extrapolation re-sampling for optimal imbalanced learning.The proposed algorithm is evaluated on CIFAR-10 data set using a biased extrapolation method.
Can Cryptocurrencies Hedge Oil Price Fluctuations? a Pandemic Perspective

The article aims to verify whether cryptocurrencies can hedge extreme price movements of Brent oil. The COVID-19 pandemic revealed that the prices of oil are strongly dependent on economic uncertainty, as well as on the mobility factor. We analyse the Brent oil prices from February 10, 2020, to February 10, 2022. As potential hedges, we consider Bitcoin, BNB, Ether, Tether, and USDCoin, top-five cryptocurrencies by market capitalization. We explore their potential to protect the oil investment using two approaches. The first one concentrates on the movement of prices, while the second - on minimising the portfolio volatility. We use three modelling techniques: asymmetric causality in prices, threshold vector-autoregressive model for returns, and dynamic conditional correlation analysis. We show that although stablecoins offer the best protection against the down movements of oil prices, they do not allow to reduce the investment volatility.
An Effective Algorithm to Improve the Accuracy of Recommender System based on Comments using Classification Techniques in Data Mining

With the development of information systems, data has become one of the most important sources of organizations. Therefore, methods and techniques are needed to efficiently access data, share data, extract data from data, and use this information. By creating and expanding the Web and a significant increase in the volume of information and web development, the need for methods and techniques that can provide data efficiently and extract information from them is felt more than ever. Web mining is one of the areas of research that uses data mining techniques to automatically discover information from web services and documents. In fact, Web mining is a process of discovery of unknown and useful information from web data. Web mining methods are categorized into three types of web content exploration, exploration of Web structures, and exploration of the use of the Web, based on what type of data they are exploring. This research investigates the relationship between the idea of mining and other research fields and examines some of the previous methods used. Finally, a method is proposed based on two decision tree and machine model algorithms that will improve the results of the idea of mining. The results of the simulation of the proposed method were evaluated and compared with the previous methods. The results show that the proposed method has higher accuracy and speed
Comparative Study between Variable Computer Printed Documents to Identify the Type of the Producing Output Devices

Background: Within the last years, forgery has markedly increased and expanded to encompasscomputers and printers’ usage, their wide evolution facilitated the production of fraudulent printeddocuments by even non-experts. The printers and photocopiers leave their imprints on the produceddocuments. Examination of printed output of a questioned document is essential as it providesinformation about the producing device.This study aims to compare the characteristics of different computer printed documents to identify thetype of the producing output devices (photocopier, inkjet, and laser printers).Methods: 132 documents were typed and printed using different models of inkjet, laser printersand photocopiers. The produced documents were examined with direct light digital microscope andultraviolet light and the printed markings were compared.Conclusion: Our results revealed that each class of the studied printing devices induced specific criteriaon the examined printed documents. These criteria are class characteristics but differ from one type ofdevice to another.
Data Augmentation Technique in Neural Network Training

The data augmentation technique is used to increase the number of images in an image bank for training a neural network.The technique generates new images from an original image, using elementary operations such as rotation, shift, zoom, noise, contrast enlargement and translation.The new images created are different from the original image, even having the same image as the source, the operations used make the image different when compared point by point with the original image, which provides the neural network with a greater number of possibilities for your training.The data augmentation technique is widely used in cases in which the training set is very small and is not sufficient for the neural network to extract the characteristics of a given class.The technique was used to enlarge an image bank of orange photos that will be classifie d by a Hopfield network with respect to quality and size criteria.Due to the scarcity of images of bad oranges, in order to balance the image bank so that the analysis of results is coherent, the technique was applied in a set with 59 images of oranges, being 50 good and 9 bad.The image bank was expanded to 100 oranges, 50 good and 50 bad.The results obtained were satisfactory and consistent with a high accuracy classifier.
On the Typology of Writers’ Letters to the Editor in the Early 20th Century: Answers to Readers, Critics, and Opponents

Based on the analysis of little-known and forgotten letters of Russian writers, most of them introduced into scholarly circulation for the first time, this article clarifies the existing perceptions of various types of letters to the editor. The purpose of the work is to identify and describe cases of changing conventions between the writer, the critic, and the reader in the early twentieth century. The notice form of the letter, traditionally used to notify readers of ongoing rearrangements in editorial boards or groups, as well as the writer’s membership in a particular literary publication, remained unchanged. Conversely, the writer’s letter as a response to a reader, a critic, or an opponent were forms influenced by a new sociocultural situation, characterised by an increasing number of printed publications and the appearance of a new type of reader and critic. The article establishes that, when replying to a reader, a social or political opponent via a newspaper, the writer turned his response into a public statement, expressed in accordance with their reputation and social stance. The writer’s reply to an opponent often took the form of an open letter and became an instance of civic action. As a response to a critic, the writer’s letter to the editor indicated his refusal to regard the critic as an authoritative participant of the literary process, one equal in status to the writer. When addressing the reader through the medium of a newspaper, the writer discussed the factual aspect of the critic’s statement, not their opinion of the writer’s work, thus emphasising the insignificance of their role. A response to a critic the writer found authoritative instead took the form of an article, or a column. Writers’ letters to the editor of the early twentieth century reflect contradictory phenomena in the literary process, caused by the emergence of mass readership and a reconsideration of the terms set between it, the writer and the critic.
INVESTIGATING THE RELATIONSHIP BETWEEN ATTENTIONAL FILTERING AND MEMORY PERFORMANCE IN VIRTUAL REALITY ENVIRONMENT

"Experimental research on cognition needs more realistic paradigms to achieve ecological validity as well as to transfer and eventually generalize the results to clinical practice. Selective attention was found to be highly related to memory and training of attentional filtering enhanced memory performance. Moreover, a real memory room might provide a more interesting environment for cognitive training, even though it is very demanding for the examiner to arrange the set-up. Therefore, we developed a change detection task using a virtual reality (VR) environment and compared it with one in a real environment (RE) room. Data of healthy younger and older adults were analyzed regarding their memory and distractor inhibition performance. The results indicate that both test set-ups reveal age effects but only RE in younger adults produces a distractor effect. For younger adults, VR was found to be more challenging as compared to the real room whereas OA performed similar in VR and RE. Technical development like VR becomes more and more attractive to create interesting experimental test settings but their additional value needs to be further investigated."
English Vlog Project: Students’ Perceptions and Their Problems

Vlogging can help language learners to practice even improve their speaking skills. This research is to know the non-English students’ perception and their problems of making an “English Vlog” project at ITB AAS Indonesia in 2020/2021. This research applies descriptive qualitative. The analysis shows that most students strongly agree that speaking is the most challenging skill. But, they agree that the English vlog is an interesting and fun task in English class in making them dare to speak in English. The topic/theme about "My Description" also is interesting. Before, most students prepare a draft before recording an English vlog and prepare by writing an Indonesian draft first. They do the exercises repeatedly to get the best result with more than five times in making an English vlog. But, the students also face problems in making English vlogs, they are Mostly students having difficulty in grammar when speaking English. Most students use a phone in recording their vlog and they do not use additional devices when recording English vlog. The audio and video quality on their device affects their vlog quality. Besides, most students have technical problems in light conditions. They are easily distracted by their surroundings, lose concentration, feeling bored, insecure when recording a vlog in front of the camera, and fear when making mistakes during speaking English. Through this vlogging, the students can improve their speaking skills in a more fun way, practice expressing themselves, increase self-confidence, and follow trends in the digital era.
Nominative subjects of infinitives in Hungarian subject-control predicates: Postsyntactic copying and the overt realization of &lt;em&gt;PRO&lt;/em&gt;

In Hungarian, the focused subject of the infinitival complement of a subject-control verb appears as a pronoun or lexical DP in nominative case. I propose that this nominative form realizes PRO at PF, but does not exist at Syntax, where PRO is caseless. PRO is overtly realized by postsyntactic copying of the phi-feature of case (and other material) from the controlling nominative matrix subject.
From Parallel Tracks to Overlapping Layers

This chapter aims to analyse the evolving technological and legal intersection between content and data in the algorithmic society. The shift from parallel track to overlapping layers of these two fields contributes to examining platform powers and understand the role of European digital constitutionalism. The first part examines the points of convergence and divergence between the legal regimes introduced by the e-Commerce Directive and the Data Protection Directive. In the second part, two examples shows how the relationship between the two systems has evolved, looking in particular at how technological convergence has led to overlapping layers between the the fields of content and data which were conceived on parallel tracks. The third part examines the role of European digital constitutionalism with a specific focus on three paths of legal convergence.
Effective School Leadership: The Institution of the Mentoring and Coaching

This article describes the institution of the mentor which facilitates contact and support from the peer and thus helps to reduce feelings of isolation and loneliness. It was also emphasized that the mentor provides professional and emotional support and thus helps reduce feelings of anxiety and frustration. It boosts self-confidence and self-esteem, as it provides rich opportunities for reflection on the new role and awareness of the strengths and weaknesses that need strengthening and improvement. Reference was also made to the role of coach. The training as mentioned concerns a method that belongs to the same category of practical methods as the institution of the mentor. The in-school mentoring process as referred to in this article includes goal-oriented learning practices between two individuals that lead to behavior change so mentor and coach training programs can offer valuable services at relatively low cost to the state and quite high benefit for education.
Reimbursement For Electricity Supply Using Blockchain

India today is racing towards the goal of Net Zero emissions by 2070. To achieve this goal, we need to reduce the use of air-polluting fossil fuels like coal. India today has increased its infrastructure of solar panels substantially. However, the efforts of the public can be a huge factor in this sector. Solar Panels have to be adopted by the people to reduce dependence on energy distributors providing fossil energy. The people who use solar panels for energy need to either connect their supply to a local power grid or maintain huge battery rooms to ensure a stable supply. Battery rooms are not a feasible option hence people choose to connect to the local grid. Solar Energy generated by people sometimes is in excess of their usage. These extra units can be carried forward to the next bill but people are never rewarded for their contribution. With this new system, we would be able to promote the use of solar panels by rewarding users for their contribution to the local energy supply. Energy distributors would reward users with in-app currency for the number of units they generate, these credits then can be used by users to pay their electricity bills or sell the in-app currency to other users for Fiat money. Using the latest blockchain Ethereum Smart contracts technology we can ensure the safety and security of our in-app currency and transactions made between users. A whole new source of passive income can be generated using this system. Keywords: Blockchain, Mining, Solar Power, Renewable Energy, Crypto Wallet, Electricity, Clean Energy
Electronic publications in the coordinates of the ISBN system

This article will examine the tendencies and the perspectives in e-publishing in the world as well as Ukraine, again the principles for assignment of ISBNs to electronic publications.&#x0D; It is noted that e-book publishing demonstrates a high level of innovative development. Monitoring of domestic monographic electronic publications and the results of the analysis of the document flow of deposited publications received by the Book Chamber of Ukraine in accordance with current legislation show that publishers have difficulties in correctly interpreting certain provisions of current legal and regulatory documents. Often, publishers incorrectly assign ISBNs to electronic publications. Recommendations for the identification of monographic electronic publications in the ISBN system are given and examples are given as well.&#x0D; The problems of the participants of the domestic book market regarding electronic publications are outlined. The importance of complying with the requirements of legal and regulatory documents on publishing. Electronic publication published in accordance with current national standards has a much higher chance of quickly finding its way to the target audience.
Children's Response towards Extensive Reading

The research aimed to find the children’s responses toward Extensive Reading. It is quantitative research. The sample was six children of an elementary schools around literacy corner which taken by random sampling. The instrument was questionnaire. The result shows that the children’ responses toward extensive reading was 88.5 which was categorized into positive. The children’s responses are mostly positive based on characters of extensive reading but it does not fit to goal of reading and linguistic competence. The responses toward goal of reading related to searching new information was 67 which is categorized into less positive and their responses toward linguistic competence related to finding new vocabulary was 50 which was categorized into negative. Children read for enjoyment so they do not focus on linguistic competence related to gaining new vocabulary and goals of reading related to searching new information. As conclusion, the children’s responses toward extensive reading was positive and practice guide of reading and teacher’s assistance are needed in promoting extensive reading for children to build reading habit.
On the Translation of Legal Text from the Perspective of Static Equivalence Theory

This thesis discusses how the static equivalence theory can be used to improve the quality of the translation of legal texts. The author attempts to prove the necessity and feasibility of applying static equivalence theory into the translation of legal texts, and thus brings some enlightenment to translators of legal texts and the researchers on police power as well.
Quantifying semantic and pragmatic effects on scalar diversity

Scalar inference (SI), the process by which we systematically infer meanings stronger than what was explicitly said, has long been a central topic of investigation in semantics-pragmatics. A recent experimental finding that has generated interest is scalar diversity: that the robustness of SI calculation varies across lexical scales. For instance, the some but not all SI is much more likely to arise than good but not excellent. In this paper, we take a first step toward more rigorously quantifying the observed variation across scales using relative entropy. We then turn to the question of how factors independent of scalar diversity can make SI calculation both more likely and more uniform. We find that a supportive discourse context and overt exhaustification with the focus particle only both increase inference rates and reduce variation across scales, with the effect of only being stronger. However, there still remains a lot of scalar diversity; only when we combine context with semantic exhaustification do we find uniformity across lexical scales.