Reviewerly/exHarmony huggingface dataset:
Model for investigation of the new consumption normal caused by the COVID-19 pandemic –a perspective of the Campos dos Goytacazes market

The population's consumption behavior in general has been changing over the years, as a result of several factors, such as increased market competitiveness, high supply of products and services, technological advances and macro-environmental factors. Considering that the factors caused by the macro environment are uncontrollable variables and exert force on the entire micro environment such as companies, consumers, suppliers and competitors. This reality requires companies to be constantly aware of all changes in the market to adapt and promote new strategies in order to meet consumer demands. The pandemic, caused by COVID-19, has directly impacted the entire micro environment, from the way companies can operate to the way the market will consume, whether this change is caused by a government decree or by a new need for behavior of the consumer. With the population inserted in what is called the “new normal”, it becomes evident that consumption habits have undergone great changes. Given the current scenario and the restrictions on the functioning of activities caused by the COVID-19 pandemic, it is considered that such a change in the economic pattern and in the offer of products/services directly affects the way society is consumed, generating new needs and desire to consumption. Therefore, the question is how to identify the new post-pandemic retail consumption pattern? From this questioning, this research aimed to develop an investigation model on the new pattern of retail consumption in the city of Campos dos Goytacazes after the changes caused by the COVID-19 pandemic. For the methodological construction of the research model of the new pattern of consumption caused by the pandemic, a bibliographic survey was carried out based on five articlesfrom 2014 to 2020, classified into 4 dimensions: Market and Economy; Social and Cultural Aspects; Life Stage; and Needs and Desires. From the definitions of dimensions, criteria for investigating the new consumption pattern were developed. In addition, tocompose the model and identify the consumer and their perception of the changes in their behavior caused by the pandemic, two more dimensions were established. The first is called the Consumer Profile, which asks questions about age, gender, income, occupation, education, etc. and the second, Changes caused by COVID-19, in which the consumer is asked about the purchase frequency, purchase volume, purchase channel, etc. However, the application of this model seeks to identify the new consumption pattern of consumers in the city of Campos dos Goytacazes from the changes caused by COVID-19
Modeling Hydropower Systems for Training

Paper presents the software package thatimplements the ability to study hydroelectric power systems withcomplex hydraulic connections, planning long-term regime ofhydro power plant with the requirements of water users on theexample of the Votkinsk hydroelectric plants, and training forthe calculation of the water-energy regime of hydroelectricpower. The complex is developed in the high-level Pythonprogramming language based on the current requirementsspecified in the rules for the use of water resources of theVotkinsk reservoir. The calculation in the software package isperformed by the direct method. Given that the software packageis suitable for both research and training. To improve the qualityof the calculation, we consider method of swarm optimization.The complex is planned to be used in the course of laboratorywork on the planning of the HPP operation mode.
Використання прийомів ейдетики у пізнавальному розвитку дітей дошкільного віку

The article reveals the essence of the concept of eidotechnics, eideticism; briefly describes the game system School of Eidetics, the components of which are based on different types of associations - free, subject, taste, tactile, olfactory, phonetic, sound; the possibilities of separate game receptions and techniques of eidetics and features of their application in educational process are covered
Digital Ethics in the Aftermath of the COVID -19 Pandemic from the perspective of Students of the Faculty of Specific Education, Damietta University.

Digital technologies have become an essential part in human life, and these technologies have imposed themselves strongly after the Covid-19 pandemic. Distance learning has become a reality in students' academic life, then the traditional system has turned into a blended system, which requires correct digital ethical practices as concerns were raised about it. Therefore, this paper aims examine the digital ethics in the aftermath of the Covid-19 pandemic from the perspective of students of the Faculty of Specific Education at Damietta University. To reach this end, the research follows the descriptive approach, using the questionnaire as one of its tools in five digital ethical areas: intellectual property rights (copyright protection), privacy, accuracy, and safety, And misuse;the questionnaire was applied to a sample of (848) students of the third and fourth year in the college, and the results showed that the majority of the sample members have a positive perception of digital ethics practices, especially in the field of safety, followed by privacy, accuracy and misuse, ending with copyright protection. In addition, there are no statistically significant differences in the responses of the sample members due to the gender variable, and there are statistically significant differences in the responses of the sample members due to the study group and parent variables Educational programs. The paper also revealed the factors that prevent adherence to digital ethics, and proposals to enhance digital ethics from the students' point of view. The paper ended with a proposed vision to enhance the development of digital ethics among students of the Faculty of Specific Education, Damietta University in the aftermath of the Covid-19 pandemic. [ABSTRACT FROM AUTHOR] Copyright of Journal of Education - Sohag University is the property of Journal of Education - Sohag University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
The World Soul in American Transcendentalism

American Transcendentalism, a religious, literary, and social reform movement whose acknowledged leader was Ralph Waldo Emerson, characteristically deployed world soul thinking to harmonize Protestant individualism with Deist rationalism and modern science. Emerson’s “Over-Soul,” whose sources include Platonism, German Idealism, and the transcendental anatomy of Georges Cuvier, enabled the Transcendentalists to distance themselves from orthodox theism by turning God’s magisterial law from outer command into inner creative principle, based on the fundamental concept that all human beings (and, for some, all life) share an inner divine principle that radiates meaning into the world. This chapter draws on William James, who analyzed world soul thinking in terms of the varieties of transcendentalism: this lens suggests that for many Transcendentalists, Emerson’s idealist, absolute monism yielded to a range of pluralist and materialist variants, as seen in Orestes Brownson, Margaret Fuller, Henry David Thoreau, and the radical pluralism of William James himself.
Correlation Analysis of Crime Factors Based on Data Mining

There are still some problems in the application of the traditional classification rule Apriori algorithm in public security work: it can not produce rules for new criminal activities or ignore the relevant rules of low proportion but great harm cases. In this case, this paper considers and discusses criminal behavior analysis and research problems based on the data mining technology. Such method only needs to scan the database twice, and avoids the tedious connection and deletion steps of Apriori algorithm. At the same time, considering the sensitivity and time efficiency, the process of generating frequent itemsets in general incremental updating algorithm is improved. The experimental analysis show that: the larger the amount of data, the more obvious the advantages of the improved algorithm. It can better find new patterns in the new data, and effectively discover new criminal behavior. At the same time, it shows good spatial and temporal performance in the mining process.
COMPARATIVE STUDY OF MACHINE LEARNING ALGORITHMS FOR PHISHING WEBSITE DETECTION

Phishing is the most commonly approached cyber-attack in this modern era. Through such attacks, the phisher will target the innocent users by tricking them into revealing their secure and personal information, with the purpose of using it fraudulently. In order to avoid getting phished, users should have awareness of phishing websites, have a blacklist of phishing websites which requires the knowledge of website being detected as phishing.
HELPING BEHAVIOR TRAINING

Human is a subject of research by a number of contemporary authors in its various aspects: basic determinants; manifestations; connection between internal experiences, emotions and external expression through behavioral activity; deviant behavior; social behavior; behavior. There are various theories and their followers about the causes and factors that determine specific behavior, some of which recognize that behavior, whether prosocial or deviant, is learned, especially when there are vivid examples in the individual's immediate environment and he/she lives in conditions of full influence by them. In this sense, it can be argued that is also learned as any other activity. There are scientific theories that this type of is innate, which is most evident in young children, but in the process of growth and development they begin to select and use other patterns of that present them more attractively in society, they believe. There is no theoretical part in this paper, because these concepts about prosocial are discussed by the author in many other of her publications. Rather, an attempt is made to test in practice various games, discussion topics and interactive methods that encourage children to prosocial and seek to help others without seeking personal gain at all. It is, for example, a team work game that requires all participants not only to partner, but also to help each other to achieve the main goal successfully. This training offers the opportunity to choose between proposed alternatives or how to act in a specific situation that requires a manifestation of humanity on our side. Significantly, in theory, children often know how to do the right thing, but in real life they show different, unknown behavior, most often with the excuse that they have been provoked or even unjustly accused. The concept of helping behavior can be commented on with the children. The idea is to understand the meaning they bring into it and how they understand its content. It is possible to discuss the vision of the helping man or woman - who he/she is; how he/she looks; is he/she close to us; is he/she a superhero; does it always help; how can we contact him/her; do we imagine that we are the helping man, woman, boy or girl. It is very important to make a reference to the attitude of children to the help, not only which they provide, but also which they receive - is there gratitude; can we help a person who refuses or does not want our help. Of course, no less important is the information about the moments when we help and those when we refuse to give a hand to a person in need. Very often, unfortunately, this is determined by the environment, by our friends, by observers
Maintaining Common Ground in Dynamic Environments

Abstract Common grounding is the process of creating and maintaining mutual understandings, which is a critical aspect of sophisticated human communication. While various task settings have been proposed in existing literature, they mostly focus on creating common ground under a static context and ignore the aspect of maintaining them overtime under dynamic context. In this work, we propose a novel task setting to study the ability of both creating and maintaining common ground in dynamic environments. Based on our minimal task formulation, we collected a large-scale dataset of 5,617 dialogues to enable fine-grained evaluation and analysis of various dialogue systems. Through our dataset analyses, we highlight novel challenges introduced in our setting, such as the usage of complex spatio-temporal expressions to create and maintain common ground. Finally, we conduct extensive experiments to assess the capabilities of our baseline dialogue system and discuss future prospects of our research.
Average firing-rate of a compartmental model network with randomly distributed synaptic background activity.

The ensemble-averaged response function of a compartmental model neuron with randomly distributed synaptic background activity is calculated using a coherent potential approximation. This is used to determine the steady-state firing-rate of a recurrent neural network. The firing-rate is found to decrease as the mean level of background activity across the network is increased; a uniform background (zero variance) leads to a greater reduction than a randomly distributed one (non-zero variance).
Antıspoofing Detection System for Online Classes and Online Meeting

The COVID 19 Pandemic has revolutionized the traditional classroom education with a new teaching paradigm called online class. While conducting classes online, the genuine students grasp the essence of the subjects at the same time some students are trying to do some spoofing activity in the class or meeting though they are virtually available online. The spoofing may include that the students may not physically present in the class instead their friends or relatives will join in the meeting. The proposed system proposed has developed a novel method to find the difference between the live face and a spoofing face. It also helps in identifying the spoofing person in two stages and ensures that the actual person is attending the online class or meeting. The state-of-the-art development in the face recognition techniques help to identify the spoofing person. If any spoofing activity is detected; it alerts the teacher or organizer that the attendee is not physically present and/or not belonging to the class.
INFOCOVID: INFORMAÇÕES CIENTÍFICAS SOBRE COVID-19 NAS REDES SOCIAIS

It is believed that it is possible to stimulate the academy/community relationship in this complex reality, producing information, exchanging knowledge and encouraging the adoption of measures that can combat the advance of the pandemic, as well as bringing an increase in professional qualifi ation.The objective of the university extension project was to inform the population and health professionals through scientific data, using accessible language in various outreach strategies.This is a descriptive experience report of the extension activities developed in 2020 by volunteers from the project entitled "Care and Prevention: educational actions in the fight against COVID19", linked to the Faculty of Nursing (FAEN) of the Federal University of Mato Grosso (UFMT).The planning and execution of the extension actions were mediated by virtual resources (messaging applications, social networks, internet network) and electronic equipment (mobile phone and computer), maintaining the recommendations of social distancing.The extension project is advertised as a page of the social application Instagram, being named "@infocovid_enfufmt" and, so far, it has 304 followers, has already made 161 publications, stories and lives with different contents related to COVID-19.It is considered that the project has promoted the social responsibility of academics with the community through health education, reinventing means of reach and communication, with the purpose of promoting well-being and health.
PiCode: A Simple Website for programmers

PiCode provides a platform where programmers post and answer questions. The purpose of this website is to find skilled programmers for the IT companies. In this website, the programmer can solve many queries related to the coding. And in this website, there are some quizzes for the programmers to check their skills. In this website, clients can ask queries and the programmer can give the answers. PiCode has many events for the programmers. Any coding website includes many tutorials and many other functionalities. Nowadays, many programmers have many queries but, they do not have answers for their queries so that from this they can solve their queries easily by posting their answers.
Hubungan Kecerdasan Intrapersonal dan Hasil Belajar Matematika Siswa Kelas V SD Gugus II

The problem in this study is the lack of students' understanding of the intrapersonal intelligence that exists in themselves so that students are not able to know themselves well. This research is a quantitative research with correlation design. Which aims to determine the relationship between intrapersonal intelligence and mathematics learning outcomes for fifth grade elementary school students in cluster II. The results showed that there was a significant relationship between intrapersonal intelligence and mathematics learning outcomes for fifth grade elementary school students in Cluster II with tCount (6.2128) greater (>) ttable value (1.6621), which means H0 is rejected and H1 is accepted. Based on the analysis of the data above, it can be concluded that students' intrapersonal intelligence will have an impact on students' thinking in learning so that it will affect their motivation and learning outcomes in the classroom. So, the higher the intrapersonal intelligence it will improve student learning outcomes. From these conclusions, the impact resulting from this study is known that high intrapersonal intelligence will improve student learning outcomes.
Mitigating Cyber-Attacks in Cloud Environments

Involvement of multiple cloud providers enhances the security complexity in cloud computing. Despite engaging best in class human and hardware resources, cyber-attacks in cloud paradigm continue to rise. This work aims to explore the cloud vulnerabilities that arise due to the multiple entry points. Underlying security threats are categorized into resources at providers' end, hardware security, transmission security, process security, and endpoint security. To mitigate the cyber-attacks in cloud, this work proposed a comprehensive multi-point-based framework that leverages the underlying hardware to strengthen the security at the user's end, internet service provider's end, and at the cloud data center. Security is further fortified by including the process level interaction at terminals. Framework is advanced enough to accommodate the vulnerable points of a system and a network. With the implementation of the proposed system, potential attacks can be detected during early state of penetration.
Systemic family counseling with young school-age students during the pandemic and post-pandemic crisis

The article contains a theoretical study with the recommendation of practical implications from the authors' own experience, which elucidates the purpose, objectives, tasks, content and technology of systemic counseling of the family with young school children during the pandemic and post-pandemic crisis. Likewise, the study contains the content and specificity of the counseling process for the family, adults and children.
Modeling of an Inference System based on the Composition of Fuzzy Relationships Applied to Sentiment Analysis on the Topic of the Pandemic

With the advent of social networks, it is easy to spread all kinds of news, opinions and ideas that have a quickly great reach as it is in the case of twitter. The pandemic caused by covid-19 has generated a growth in publications referring to the issues of isolation, fear of contagion, unemployment, vaccines, among other topics; it is a challenge to be able to identify interesting and useful content from long streams of text or tweets. In this article It is intended to describe the development of a system of composition of fuzzy relationships to classify users who are in different states of mind, tweets in Spanish will be used. Good effectiveness for sentiment analysis should be obtained by applying the composition in those sets that have a relationship.
Peer Review Artikel Jurnal: Online Integrated Development Environment (IDE) in Supporting Computer Programming Learning Process during COVID-19 Pandemic: A Comparative Analysis

Artikel dipublikasikan di jurnal:IJID (International Journal on Informatics for Development) Vol. 9, No. 2
The Augment Algorithm and its Role in Cognitive Diagnosis

Both the augment algorithm and the reduction algorithm can be used to obtain non-zero knowledge states vector in testing. In particular, the augment algorithm based on the reachability matrix can imply the structure of the Q-matrix and its non-zero columns, thus proving the set of Q-matrix columns forms an algebraic structure (Lattice). Applying the augment algorithm based on the reachability matrix and the test Q-matrix, respectively, we can obtain the theoretical construct validity of the test Q-matrix (i.e., the degree of the test Q-matrix fitting the cognitive model) and use the results to evaluate test quality. We can also use the algorithm when constructing and evaluating cognitive models, as well as when developing cognitive diagnostic models. Moreover, the augment algorithm and its reverse algorithm (reduction algorithm) are suitable for analyzing and evaluating retrofitting data.
BLOCKCHAIN SYSTEM CONSENSUS ALGORITHMS

This article describes the main consensus algorithms, their positive and negative aspects. Consensus in the general sense means a way to come to an agreement. In the blockchain, which is a decentralized system that does not have a single governing body, various algorithms have been developed to achieve consensus. In a blockchain network, it does not matter whether the system participants trust each other or not. They must agree on certain principles of work that will apply to everyone. And this is a direct function of the consensus mechanism. Algorithms are described and an example of solving this problem is given, namely the problem of choosing a consensus for future systems. An example of using multiple consensuses in blockchain networks is given. Such consensuses as Proof of Work (PoW), proof of Capacity (PoC), proof of Authority (PoA), proof of activity (PoAA), proof of Importance (PoI), proof of Burn (PoB), proof of Stake (PoS) are described, as well as its subspecies: Leased Proof-of-Stake (LPoS), Delegated Proof-of-Stake (DPoS). Many different nuances about the mixed type of consensus are described and examples of such cryptocurrencies and systems are given. The subtleties of mining for each consensus are described. Examples of hash functions, masternodes, nodes, algorithms, as well as key features of certain cryptocurrencies with mixed consensus are given. It is concluded that the choice of consensus for building systems based on blockchain.