Reviewerly/exHarmony huggingface dataset:
AUCTIONAIRE – A Blockchain Based Online Auction System

Abstract: Today, the growth of electronic communication is increasing rapidly and with that, several applications are going online. This helped many businesses in gaining profit in their respective sectors. One of the various applications of electronic communication which is getting highly appreciated these days by many users is E-Auction System. E-Auction System is an effective E-Commerce system that allows bidders and sellers to interact through an online platform. This online mode has reduced many limitations of traditional auction i.e. geographical location, timing and traveling, a limited number of people, etc. In this auction system we have introduced Blockchain and smart contract as a revolutionary technology which has gain the interest of many different industries. Payment gateways are also highly secured. These technologies provide best security and make the system fully secure. Our model aim is to provide each and everyone to host their own auctions or take part in the auction from anywhere in the world. With the variation in the technology, we also have to change our self accordingly. Keywords: E-Auction, Blockchain, Smart contracts, Decentralized, MATIC, Metamask
Author Verification Model using Random Walk Features from Chat Messages

As the number of instant messenger users increases, related crimes and accidents are increasing, so verification of the author of the chat message is urgent. This study proposes a random walk-based message analysis model to verify the author of chat messages. Traditional user verification is the problem of determining whether the authors of two given texts are the same. The proposed model creates an n-gram transition graph with the user's previous chat message, and extracts features by performing a random walk on that graph with a query message. By identifying the relationship between the user's past chat pattern and a given message, we were able to verify the user with an accuracy of 86% and a recall of 89% in 10,000 real chat messenger corpus based data. By replacing the user verification problem with the random walk problem, it was able to omit the feature definition task requiring domain knowledge and achieve stable verification performance even with limited messages.
USING DIGITAL TECHNOLOGIES TO IMPROVE KNOWLEDGE EXCHANGE AMONG TEACHERS OF GENERAL EDUCATION ORGANIZATIONS

E. Selivanova 1, N. Yarychev 2, D. Ilyasov 1 1Chelyabinsk Institute of Retraining and Improvement of Professional Skill of Educators (RUSSIAN FEDERATION) 2Chechen State University (RUSSIAN FEDERATION)
Impact of Management Control System on the Organizational Performance amid Covid-19

The main purpose of the research was to investigate the influence of the ERP on organizational performance mainly amid the Covid-19. The coronavirus pandemic has led to the changing of the workplace environment where it has led to difficulty and challenges for the employees, management and leaders. Hence, the study was conducted to investigate how the management control system particularly ERP can support organizational performance. The approach that is employed for obtaining the data is through the primary source where the instrument that is adopted in the following study is the questionnaire survey. The total sample that is selected for the following research is 400. The tool that is particularly used in the study is SmartPLS as various techniques are available that not allows in reaching the main conclusion but also allows in assessing the reliability and validity of the dataset. The results of the study have indicated that ERP has significantly and positively contributed towards the financial resource availability, regulatory factor compliance and total management support. However, it was determined that the ERP has negatively influenced the employee's support which adversely affected the organizational performance. As per the moderating role of organizational culture, it is found to have a significant and positive effect on the ERP where it reflects the importance that organizational culture is highly important for the management control system to be effective.
Performance Conceptualism: From Semantics to Body Language

The research focuses on the philosophy of performative actionism. It refers to the contemporary practices of installations, happenings, monstrations and flash mobs on different topics as to the concept of pure action. Performance is regarded as the relevant understanding technique to manifest the currently popular dynamism principle of arts and philosophical anthropology. The research aims to analyse the art experience of the subject’s bodily actions to demonstrate their anthropological authenticity, social significance, legal value, epistemological activity, and political will. As a result, authors conclude that non-semantic silent performances reveal limited possibilities of modern human self-realisation despite having several rights, freedoms and technologies to improve their lives. Performance is viewed as a conceptual model of individual functioning in the polyontic reality. As an alternative to the linguistic one, self-representation through performance is a rather flawed but relevant means of showing the nature of the subject’s existence in the contemporary social, legal, political and cultural environment.
Penelusuran Informasi Ilmiah Mahasiswa di Perpustakaan Universitas Lancang Kuning

Big data causes information explosion on the Internet where abundant information is provided every second. This phenomenon raises the problem of how to get precise, accurate, and reliable information out there. In addition, the ethics of using the information on the Internet also needs to be understood to minimize plagiarism. The University Library plays an important role in providing scientific information for the user. The university library should be able to provide references as well as educate its users on how to access and use those scientific information resources correctly. This Community Service (P2M) partnered with the Universitas Lancang Kuning Library aims to provide understating to librarians and students in information retrieval specifically the ability to identify, explore, access, and use scientific information appropriately. &#x0D; Keywords: information retrieval, information behavior, big data, Internet
The Art of Conversation: How Do We Communicate Successfully?

Every day we talk with people. But have you ever wondered how two people with completely separate minds manage to understand each other? To have a successful conversation, you must understand the language that the other person is using and produce language that your conversational partner can understand, otherwise communicating can become difficult. One thing that human speakers do to make sure that the other person understands them is to copy the language that their conversational partners use, such as their word choices. This is called alignment, and it increases the likelihood of two people having a successful conversation or doing well on a shared task. Scientific experiments have shown that alignment is an important feature of human communication that occurs in multiple situations. In this article, we explain three different types of alignment that speakers use and describe how language scientists study alignment.
Optimizing Inclusive Education In The Context Of Covid-19 Pandemic

Students with special educational needs represent a vulnerable category of persons that was significantly affected during the Covid-19 Pandemic due to the contradiction between their specific needs to benefit from direct contact with different specialists, with teachers and peers so that their needs are respected according to their own learning rhythm and the strict rules on social distancing imposed by authorities in order to limit and prevent the extension of this new disease.The impact of these measures on the category of students with special educational needs can be observed both physically, emotionally and socially.This context becomes more delicate when we think about the preschool children with special educational needs.In order for teachers to be able to intervene in this complex situation, we propose, within the present article, a series of educational recommendations for valuing and optimizing inclusion.These guidelines are based both on the study of literature in this field and on the opinions expressed by teachers, who find themselves in the above mentioned context.The category of preschool children with special educational needs should be taken into consideration in order to optimize future distance learning approaches, but also the ones specific to traditional education.Reorganizing education has become one of the major present goals, since education has important, long-term implications over many other fields of the society.
Selected Papers From the 2021 IEEE Symposium on Security and Privacy

In an effort to bring a portion of symposia to a broader audience, the IEEE Security & Privacy editorial board dedicates special issues to present selected papers. The contributions in this issue are from the IEEE Symposium on Security and Privacy. Since 1980, this event has been the premier forum for presenting developments in computer security and electronic privacy as well as bringing together researchers and practitioners in the field.
Analysis of research trends and policy suggestions to Crevitalize maker education in physical education subjects

The purpose of this study is to analyze research trends through previous studies on maker education and physical education subject maker education and to examine policy suggestions for maker education through expert opinions. As a result of analyzing 295 papers collected to examine maker education research trends, the following results were obtained. First, domestic maker of education research, yearly change is the thesis of the start in 2015, has grown rapidly in the year 2017. Second, academic journal papers accounted for a large proportion until 2021, depending on the type of publication. Third, research on elementary and middle school students increases every year, and a number of papers on incumbent teachers and prospective teachers have also been published. Fourth, it was mainly used for practical purposes such as program development, and many studies using digital tools have been conducted. Next, in order to derive policy suggestions for revitalizing physical education subject maker education, open surveys were conducted through field teachers, maker education experts, and physical education experts, and the obtained data were categorized to obtain the following results. It was confirmed that in order to revitalize physical education subject maker education, efforts to establish the philosophy of physical education maker education, spread awareness of value, and establish an environment are necessary. In this study, based on the overseas maker of education for a follow-up study trends research, diversification of the study, various programs, including development of the contents of the suggestion.
Manipulacija u političkom diskursu / Manipulation In Political Discourse

Manipulation is a kind of speech activity which has definite intentions and aims, such as gaining control and power within political discourse. This paper will shed light on the theoretical ground on which this phenomenon is based to determine how language is utilized for manipulation. The analysis aims to investigate manipulative strategies and the language devices used in generating these strategies in al-Gaddafi s speech known as Zenga. Also, it will pay more attention to strategy of polarisation, i.e. basic strategy of positive self-presentation and negative other-presentation. This paper will be limited to lexical-semantic devices (selection of negative words for them and positive words for us), certain grammatical mechanisms (passive, nominalisation) and rhetorical devices (metaphor, metonymy, hyperbole). The study shows the diversity of modes of how language of the speech is manipulated on diffe ent levels of discourse.
Graph Neural Networks with Stability and Discernability

Graph neural networks (GNNs) are popular for solving graph-related tasks in fields ranging from bioinformatics to social networks. The essential mechanism of a GNN model is local-neighborhood aggregation. However, it is innately difficult to aggregate the global information of a graph even though such information plays a key role in graph-classification tasks such as molecular-function prediction and community detection in social networks. Moreover, the local-aggregation mechanism suffers from limited expressive power, making the model unstable and difficult to distinguish non-isomorphic graphs. To overcome these limitations, we propose a GNN equipped with heat kernel convolution for gathering global information while ensuring stability and heat kernel trace normalization for improving the expressive power. We validated our model against previous methods using various benchmark graph datasets, and the experimental results demonstrate that the proposed GNN's performance is comparable to those of state-of-the-art methods.
Machine Learning

Machine learning is a “field of study that gives computer the ability to learn without explicitly being programmed”. It is closely related to, and uses methods from, other fields such as statistics, computer science and artificial intelligence.
Peer Review Statement

Abstract All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Open • Conference submission management system: Morressier • Number of submissions received: 13 • Number of submissions sent for review: 13 • Number of submissions accepted: 13 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 100 • Average number of reviews per paper: 1 • Total number of reviewers involved: 2 • Contact person for queries: Programme Committee Chair Name: Prof. Anna Baldycheva Affiliation: University of Exeter Email: snaia@stemm.tech
THE ROLE OF CONTENT MARKETING IN THE ERA OF DIGITALIZATION

The marketing landscape is quickly changing, with conventional marketing giving place to digital or electronic marketing. Businesses must recognize the new paradigm, which emphasizes customer relationship and thus helps create and retain loyal customers. Consumers are more loyal and trustworthy when they receive information in the form of content and are able to interact with the brand. To establish effective content marketing campaigns, an organisation must first understand how customers perceive material, what draws them, and what they want from it. Content marketing has evolved beyond the Boardroom Buzz. Thanks to remarkable advances in information and communication technology, customers today have instant access to information. As a result, online content development is vital in marketing, a winning strategy. As a result, all marketers should attempt to boost customer engagement through content, which is now an industry standard. It is essential in todays world. There are Numerous facets of Content Marketing, with its future trends. These days, its standard fare Traditional marketing fails. The consumer gains value via content marketing instead of attractive advertising and selling. This research paper can be understandable, informative, or helpful to the client and to introduce Content Marketing to marketing instructors. As Existing textbooks and most educators dont have time to thoroughly examine this fast developing topic, Content Marketing knowledge can help students learn all current marketing methods.
Evidence for clear-sky dimming and brightening in the long-term Potsdam radiation record

&amp;lt;p&amp;gt;For the explanation of the observed decadal variations in surface solar radiation (known as dimming and brightening) the relative importance of clouds and the cloud-free atmosphere (particularly aerosols) is currently disputed. Here we investigate this issue using daily data from the prominent long-term observational radiation record at Potsdam, Germany, over the 71-years period 1947-2017. We identify cloud-free days based on synop cloud observations as well as on days with maximum atmospheric transmission. Irrespective of the cloud-screening method, strong dimming and brightening tendencies in the atmospheric transmission are evident not only under all-sky, but also of similar magnitude under clear-sky conditions, causing multidecadal variations in surface solar radiation on the order of 10 Wm&amp;lt;sup&amp;gt;-2&amp;lt;/sup&amp;gt;. This points to the cloud-free atmosphere as a main responsible for dimming and brightening in Central Europe and suggests that these variations are anthropogenically forced rather than of natural origin, with aerosol pollutants as likely major drivers.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This study has been published in Geophysical Research Letters (Wild et al. 2021)&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Reference:&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Wild, M., Wacker, S., Yang, S., and Sanchez-Lorenzo, A. (2021). Evidence for clear-sky dimming and brightening in central Europe. Geophysical Research Letters, 48, e2020GL092216. https://doi. org/10.1029/2020GL092216&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;&amp;amp;#160;&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;
Accounting in the Fourth Industrial Revolution: from the perspective of accounting professionals from Abaeté and from the students of the accounting sciences course at UEMG, Abaeté unit

The article will address the effects of the Fourth Industrial Revolution and the future of the accounting profession, referring to technological evolution. It is intended to answer what are the perspectives of accounting professionals and students of the Accounting Sciences Course at UEMG/Abaeté on the future of the accounting profession, after the advances provided by the Fourth Industrial Revolution. The methodology used will be qualitative research, through data collection and presentation in graphs and tables. The nature of the research is applied and exploratory, as it is a new subject, but one that inhabits professional and academic environments. It will be descriptive, therefore, a questionnaire will be applied to office owners and students from UEMG - Abaeté, it will be a field research being the target audience, Accountants from the municipality of Abaeté, Minas Gerais and students from the University of the State of Minas Gerais - UEMG Abaeté Unit. Intentional probabilistic sampling will be used, implying that everyone has knowledge about the subject, even if at a different level. According to the authors, there are risks for some professions, but having the adequate knowledge for the various aspects of Industry 4.0, it will be possible to remain in the market. The results pointed to a certain knowledge about the challenges to be faced with the new technologies arising from the Fourth Industrial Revolution.
One Voice is All You Need: A One-Shot Approach to Recognize Your Voice

In the field of computer vision, one-shot learning has proven to be effective, as it works accurately with a single labeled training example and a small number of training sets. In one-shot learning, we must accurately make predictions based on only one sample of each new class. In this paper, we look at a strategy for learning Siamese neural networks that use a distinctive structure to automatically evaluate the similarity between inputs. The goal of this paper is to apply the concept of one-shot learning to audio classification by extracting specific features, where it uses triplet loss to train the model to learn through Siamese network and calculates the rate of similarity while testing via a support set and a query set. We have executed our experiment on LibriSpeech ASR corpus. We evaluated our work on N-way-1-shot learning and generated strong results for 2-way (100%), 3-way (95%), 4-way (84%), and 5-way (74%) that outperform existing machine learning models by a large margin. To the best of our knowledge, this may be the first paper to look at the possibility of one-shot human speech recognition on the LibriSpeech ASR corpus using the Siamese network.
A SURVEY OF IMAGE DENOISING FILTERS BASED ON BOUNDARY DISCRIMINATION NOISE DETECTIO

Image denoising is an essential and complex activity that should be carried out before any other image processing because it checks for errors within the image(s) and rectifies them. There are ways to remove noise, the switching scheme is an outstanding method when equated to others, it initially segregates the noisy pixels and then filters them. Boundary Discriminative Noise Detection (BDND) is a type of algorithm that uses the switching method and is good for impulse noise detection, many works have been presented using several enhancements to detect noise from images using BDND. In this paper, we present a detailed outline of impulse noise and noise removal techniques by looking at over a decade of research conducted to establish a fundamental understanding of the Boundary discriminative noise detector algorithm used in image denoising. We analyzed 19 relevant papers through Google Scholar, focusing on three aspects: the methods for detecting noisy pixels, the type(s) of noise, and the major challenges. We found that many of the image denoising methods still use BDND and at least one algorithm is developed yearly except for 2017 to 2021, indicating the algorithm is significant in the field of image denoising. Furthermore, we wrap up the survey by highlighting some research challenges and offering a list of key recommendations to spur further research in this area.
Incorporating Constituent Syntax for Coreference Resolution

Syntax has been shown to benefit Coreference Resolution from incorporating long-range dependencies and structured information captured by syntax trees, either in traditional statistical machine learning based systems or recently proposed neural models. However, most leading systems use only dependency trees. We argue that constituent trees also encode important information, such as explicit span-boundary signals captured by nested multi-word phrases, extra linguistic labels and hierarchical structures useful for detecting anaphora. In this work, we propose a simple yet effective graph-based method to incorporate constituent syntactic structures. Moreover, we also explore to utilise higher-order neighbourhood information to encode rich structures in constituent trees. A novel message propagation mechanism is therefore proposed to enable information flow among elements in syntax trees. Experiments on the English and Chinese portions of OntoNotes 5.0 benchmark show that our proposed model either beats a strong baseline or achieves new state-of-the-art performance. Code is available at https://github.com/Fantabulous-J/Coref-Constituent-Graph.