Reviewerly/exHarmony huggingface dataset:
Information technology predicting the sale prices of houses in king-county by machine learning methods

The sale and purchase of the real estate, in particular housing, and houses are extremely important for our life. Most people turn to real estate agencies to realtors in order to purchase quality housing and at the same time at the best price for the buyer. You should rely not only on personal assessment or assessment of third-party experts but also use price prediction systems that, using the features of the house (area, number of floors, location, number of bedrooms, year of construction, etc.), are able to predict its possible price. The report is devoted to the task of improving the accuracy of predicting the sale price of houses in King-County using machine learning methods by creating an information technology for predicting this price. The analysis of sales and purchases of real estate has been carried out, and signs that have an impact on the pricing of houses have been previously proposed. The dataset was selected, and its main features were described, preliminary data cleaning was carried out, exploratory data analysis was carried out, a rule for filtering anomalous values for the selected dataset was proposed, many possible models were selected, they were trained, and the optimal one was selected, the result of the models was presented and analyzed, for comparison the prediction accuracy of similar solutions is given. An optimal LGBM regression model was obtained, and its application made it possible to obtain a prediction accuracy of 0.876, which is more than 0.82, as in the best analog. The scientific novelty lies in the fact that the information technology for predicting the sale price of houses in King-County has been further developed using machine learning methods, which makes it possible to increase the accuracy of such a prediction compared to analogs.
Grassroots as an Artistic Category of Ukrainian Culture of the XVII–XIХ Centuries

The purpose of the article is the classification of Ukrainian musical culture, which, unlike other artistic genres, has not received clear musical definitions for a long period of time. This is connected with socio-cultural and historical circumstances, when music was primarily perceived as a part of liturgical rites, everyday life, and other circumstances, and in this context was interpreted as part of something bigger, a whole. Therefore, the assessment of musical art as a single category needs clarifications and definitions. The research methodology is based on historical, cultural, and artistic levels. The scientific novelty consists in the introduction of the term Grassroots into scientific circulation to describe and define the quality of musical productions. Conclusions. For a more appropriate definition and characterisation of the musical creativity of the 17th-19th centuries, the term Grassroots, in our opinion, is the most successful and appropriate. It clearly demonstrates the development of national musical art as "grassroots", at the same time taking it out of the realm of primitiveness and dilettantism, which metropolitan cultures have tried to impose on us over the centuries. At the same time, the aesthetic tension is relieved when characterising works through the prism of kitsch means and tools, as well as its definition as "low" or "grassroots", since the adaptation of the achievements of European art on national material required a certain time for formation and development. Therefore, Grassroots art is the most appropriate term to describe and classify the rich heritage of Ukrainian musical art.&#x0D; Key words: "high" art, "low" art, grassroots art, kitsch, musical culture
TEACHING PERCEPTION CHANGE IN UKRAINE: BEFORE AND DURING THE PANDEMIC

The COVID19-Pandemic has forced educators to transform their lessons into online versions in a short period of time. This study compares teachers’ and students’ perceptions regarding their online teaching and learning practices prior to the obligatory transition to remote mode and their evaluations after experiencing online teaching for a year. With fast changes taking places in recent times and online education taking centerstage, the primary objective of this study is to find out the outcomes of these changes, with respect to effectiveness, teaching style and pedagogy. This study is exploratory in nature. Using a structured questionnaire completed responses were received and analyzed using the available research tools. Two surveys with a three-year gap were completed by 251 Ukrainian teachers and students. Results demonstrated a significant change in the perception regarding resolutions to implement technology in their education in a post-corona era. In this regard, the implementation of the mixed mode seems to be the most popular choice. Findings of this study provide implications for the better interaction possibilities between teachers and students as well as between students themselves, as well as experienced positive and negative aspects of online teaching. Future research should focus on constructing and testing educational design principles for effective adopting online technology in educational practices.
OVLN: Object-aware Vision and Language Navigation for Domestic Robots

Vision and Language Navigation (VLN) problem demands a robot to navigate accurately by combining the natural language instruction and the visual perception of surrounding environment. Seamlessly combining and matching of textual instructions with visual features is challenging due to various entity clues, such as scene, object and direction, contained in both modal features. Paying more attention to these entities and strengthening the relationship between them endows robot with a better understanding of textual and visual information to complete navigation task. Based on the previous work [1], we enrich the input feature information of the LSTM network by adding object features with different strategies to infer the state of the robot and propose OVLN (Object-aware Vision and Language Navigation) model. In OVLN, the addition of object features allow robot to be object aware and minimize the loss of visual information. The attention mechanism has been used to extract the specialized contexts and relational contexts of the object, scene and direction for the language. Then a visual attention graph is constructed to obtain the entity aspects from vision to derive the navigation action. The model is trained on the Room-to-Room (R2R) dataset with a hierarchical structure. After the first stage training with imitation and reinforcement learning, the augmentation data is leveraged to fine-tune the model in the second stage to improve the generalizability. Experimental results show that OVLN improves both the successful rate (SR) and the successful rate weighted by path length (SPL) compared with previous methods. Meanwhile, OVLN alleviates the overshoot problem for the existing works, benefiting from the object awareness.
Comparison of Support Vector Machine and K-Nearest Neighbour Algorithm for Accurate text Classification

The proposed work focuses on performing text classification analysis using support vector machine (svm) as well as k-nearest neighbour algorithm (knn). Materials and Methods: Accuracy is analysed for emotion dataset with count of sentences 519. Classification of emotions is done using support vector machine with size <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol{(\mathrm{n}=32)}$</tex> and k-nearest neighbour algorithm (knn) with size <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$(\mathbf{n=32})$</tex> , obtained using the g-power value 80%. Results: svm accuracy is 94.29% which is comparatively higher than knn with accuracy of 90.80 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> . the significant value of accuracy is 0.999 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol{(\mathrm{p} &gt; 0.05)}$</tex> and loss is 0.001 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\boldsymbol{(\mathrm{p} &lt; 0.05)}$</tex> . Conclusion: The proposed model indicates that accuracy obtained from model using SVM is higher than k-nearest neighbour algorithm.
List of Committees: International Conference on Mathematics and Science Education (ICMScE 2021)

First Page
A Novel Approach on Speaker Gender Identification and Verification Using DWT First Level Energy and Zero Crossing

The aim of this work is to find a new criterion for determining a range of values in order to determine the gender of a speaker. The use of the Discrete Wavelet Transform (DWT) of the Daubechies db7 parent wavelet and the computation of the zero crossing energy from the first level of the DWT was followed by computation of the values of the criterion for both genders and comparison with the value of the speech basic frequency for both genders for the same sign or sentence. The standard has a limited range of values close to the basic frequency range of the same speaker through which we can determine gender. This criterion has been tested on several men and women databases with different repeated sentences for the same person or for both genders and it gives acceptable results that can be worked on.
The experience of effective early vocational guidance of blind and low visible students

The article deals with the issues of career guidance and socialization of children with visual impairments. one of the urgent tasks of preschool typhlopedagogy is an integrated approach to the formation of a socially oriented vitagenic experience of these children. Even a small cognitive vitagenic experience that a preschooler with impaired vision has can be rationally used.
Survey On Vulnerabilities In Blockchain’s Smart Contracts

Trustworthy smart contracts is usually challenging due to the multifaceted semantics of essential domain-specific languages and their testability. A vulnerability in smart contracts possibly comprises numerous code-security and may allow an attacker to gain control of a system resulting in financial tribulations. Therefore, it is very essential to design safe and secure smart contracts in blockchain’s immutable environment by applying numerous techniques for assessing flaws before deployment. Application programmers building smart contracts must test their code for vulnerabilities. Security and privacy is top in the list. The objective of this research is to explore: 1) the emerging landscape of smart contracts, 2) identifies the vulnerabilities faced by the developers and 3) What tools are available to address these issues? Our study showed: 1) comprehensive realistic studies in the smart contract security are at present lagging as related to primary studies. 2) 73% of contracts implemented in Solidity had security vulnerabilities. 3) Poor programming technique and 4) Slack programming activity.
Bahan Ajar Fonetik Berbasis Aplikasi Gawai Bagi Mahasiswa (Phonetic Teaching Materials Based on Device Applications for Students)

Phonetics teaching materials that have existed so far have not used the internet. This study aims to produce phonetic teaching materials based on student device applications. This development research adapts and combines the models of Gall et al., Dick &amp; Carey, and Michael Scriven's formative-summative evaluation approach. Data were collected through questionnaires and tests. Qualitative data were analyzed using the method belonging to the Miles &amp; Huberman method. Quantitative data were analyzed using the Mann-Whitney test. The results showed that the significance value of the Mann-Whitney Test with Sig. (2tailed) 0.000 &lt; 0.05. This shows that the application effectively increases learning objectives achievement. The resulting product can be accessed through the https://tulisanfonetik.glideapp.io page. Bahan ajar Fonetik yang selama ini ada masih belum memanfaatkan internet. Penelitian ini bertujuan untuk menghasilkan bahan ajar fonetik berbasis aplikasi gawai bagi mahasiswa. Penelitian pengembangan ini mengadaptasi dan memadukan model Gall et al., Dick &amp; Carey, dan pendekatan evaluasi formatif-sumatif milik Michael Scriven.. Data dikumpulkan melalui angket dan tes. Data kualitatif dianalisis dengan metode milik metode Miles &amp; Huberman. Data kuantitatif dianalisis dengan menggunakan uji Mann Whitney. Hasil penelitian menunjukkan bahwa nilai signifikasi pada Uji Mann-Whitney dengan Sig. (2tailed) 0.000 &lt; 0.05. Hal ini menunjukkan bahwa aplikasi efektif dalam meningkatkan ketercapaian tujuan pembelajaran. Produk yang dihasilkan dapat diakses melalui laman https://tulisanfonetik.glideapp.io .
English for Specific Purposes Need Analysis among Final Year Chemical Engineering Students in a Malaysian Public University

Need analysis is a crucial part of English for Specific Purposes (ESP) that guides instructors to plan and design an appropriate course for target learners.As there is limited number of research on the needs analysis for engineering students in Malaysia, this study focuses on assessing and determining the ESP among engineering students in public university students in Selangor, Malaysia.The objectives of the study are to analyze the perspective of final year engineering students regarding their English language proficiency, language skills emphasized in their field and the perceived most important English language skill in the workplace.The data of this study were collected from final year chemical engineering students who have attended industrial training.An online survey questionnaire was adapted from Alsamadahi (2017) and was distributed to respondents via Google Form.The data was analyzed using SPSS and utilised descriptive analysis to summarize the findings.Based on the findings, the students perceive writing and reading as the most important skills in their field whereas speaking skills are the least important.The majority of respondents also perceived that they can perform the listening task on their own better compared to the speaking task.Overall, the results of the data analysis provide great significance to the ESP course design.It can be concluded that the study conducted can be improved if more samples can be collected from various universities.
Heritage Language Long-Distance Acquisition in Remote Areas—Implementing Telecollaboration in Social Media to Increase Exposure to Polish Language and Culture

This paper reports on a study conducted during the implementation of the Polish language and culture promotion project, run by Maria Curie-Skłodowska University and financed by the Polish National Agency for Academic Exchange. In this project, Polish students were involved in telecollaboration with Brazilians from the Ijui region. The aim of this study was to investigate the possibilities of arranging heritage language acquisition through telecollaboration via social media. Due to the isolation of many communities, telecollaboration can be a useful method facilitating heritage language and culture acquisition across the world. This article used the case study method, in which the “Language Clinic” component of the project was taken under detailed scrutiny.&#x0D; The project showed language shift and translanguaging as it happened—initially, the students from Brazil used English as a lingua franca and as a classroom language; however, once they grew more confident, they replaced English with Polish as the target language. For Polish student assistants, participation in the project brought about many benefits: increased orthophonic awareness, gaining an understanding of how careless articulation and inappropriate intonation of the utterance may lead to communication breakdown.
A mathematical question matching and ranking method based on knowledge graph and semantic similarity

Nowadays, we are in the era of big data on the Internet, and a huge and scattered number of mathematics questions have been accumulated on the Internet. How to use efficient algorithms to calculate the similarity between maths questions and allow maths questions to be clustered is one of the difficulties in building a maths question recommendation system. As the current mainstream uses manual matching + full text semantic similarity calculation, i.e., it requires a lot of manpower and cannot take into account the image and formula information of certain questions resulting in low accuracy rate. In order to solve the above problems, this paper designs a matching clustering method for similar questions based on the knowledge map of mathematical questions, and then ranks the matched questions by the semantic similarity of the text. The experimental results show that the average accuracy of the BERT-based semantic similarity ranking method is 5.6% higher than that of the baseline method, which can significantly improve the recommendation effect of similar maths questions.
Recovering Multi-frame Incomplete Path Tracing Images Using Tensor Completion

This paper presents a novel method to recover missing pixels in multi-frame incomplete path tracing images using tensor completion. Matrix completion and compressed sensing provide screen space solutions to recover missing pixels from sparsely rendered path tracing images, providing efficient previsualization. Path tracing is often used to generate an animated sequence of images, which then requires an efficient previsualization that is coherent across multiple frames to avoid temporal noise in the final video. We present a novel numerical method to construct a tensor structure using multiple path tracing images followed by tensor completion, which coherently recovers missing pixels avoiding temporal noise. Our numerical method avoids complex procedures when building a low rank tensor for tensor completion, which previously required complex initialization and similar patch finding steps across nearby frames. Our method shows promising results and outperforms recent matrix completion based methods in both visual quality and performance.
On the Diophantine Equation px+(p+14)y=z2 where p,p+14 are Primes Suton Tadee

In this paper, the Diophantine equation p x + (p+ 14)y =, where p p+14 are primes and x y z , , are non-negative integers, is investigated. Some conditions for nonexistence of the solutions of this equation are presented.
A NOTE ON LINEAR CODES WITH GENERALIZED FIBONACCI MATRICES

In this paper, we investigate the linear codes from generalized Fibonacci matrices in the context of coding theory. We show that Fibonacci matrices form a generator matrix for the first order ReedMuller codes R(1, 1). Further, we see that Multinacci matrices form a basis for [n, n, 1] MDS-code.
THE ISSUES OF USING THE POSSIBILITIES OF TECHNICAL MEANS AND ELECTRONIC EVIDENCE IN THE CRIMINAL PROCEEDING OF UZBEKISTAN

This article details the features of using modern technical means and the issue of electronic evidence in the process of collecting evidence in the criminal process of the Republic of Uzbekistan, analyzes the opinions of various scholars in this field and the norms of the criminal procedure law of several states. Based on the results of analyzes and studies, the author disclosed some legal gaps existing in the criminal procedure legislation and developed proposals and recommendations for introducing appropriate changes to some norms of the Code of Criminal Procedure of the Republic of Uzbekistan.
GENRE-COMPOSITIONAL ANALYSIS OF SCIENTIFIC ARTICLES, PREPARED UNDER THE DIRECTION OF “JURISPRUDENCE”

In the course of the study, the genre and composition of scientific articles submitted to the editorial office in the direction of “Jurisprudence” are studied. The main objectives of the study are to improve the quality of scientific articles by improving the writing skills of authors, as well as publishing articles in accordance with the requirements of scientific journals in international databases. Scientific articles have been checked in three stages: plagiarism, technical and scientific expertise. Genre-compositional aspects, system-semantic, syntactic and communicative-pragmatic features of each article have been studied. Based on the results of the study, requirements for articles submitted to the editorial board, as well as an expert opinion for articles are developed. The main mistakes made by the authors in the design of scientific articles based on the developed requirements are studied and recommendations for their elimination are developed. Definitions of the concepts of genre and types of scientific articles are presented. The necessity of developing a textbook on teaching writing and designing scientific articles in the direction of “Jurisprudence”, as well as conducting seminars on teaching the skills of academic writing, has been identified.
CHALLENGES AND BENEFITS OF BLOCKCHAIN IMPLEMENTATION IN SUPPLY CHAIN

This article presents the challenges and benefits of blockchain implementation in the supply chain. In a broader context, the article addresses how technology facilitates digitalization in a traditional industry, with no shortage of ideas and controversies. The findings are drawn from a case study of a Romanian tech startup. The empirical investigation uses interview and direct observation methods to show how the startup under study implements Industry 4.0 solutions based on blockchain technology. The findings demonstrate the feasibility of the technologies, the benefits for customers, and the challenges associated with them. So, it can be said that tech startups are real ambassadors of innovation and are able to change the status quo faster and easier. Their solutions and products have the potential to disrupt the industry and evolve into integrated platforms for artificial intelligence.
Institutes for Advanced Topics in the Digital Humanities (NEH)

Federal Grants & ContractsVolume 47, Issue 2 p. 1-2 Grants Alerts Institutes for Advanced Topics in the Digital Humanities (NEH) First published: 16 December 2022 https://doi.org/10.1002/fgc.32742Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume47, Issue215 December 2022Pages 1-2 RelatedInformation
Approximation in a Nearring Using an Equivalence Relation with Thresholds

In this paper, we define an equivalence relation using level set of an i-v L-fuzzy ideal of nearing N. We use this equivalence relation to define upper and lower approximation of nonempty subset of the nearing N. We study properties of these approximations. We find relation between approximations in different cases.