Reviewerly/exHarmony huggingface dataset:
HSE University’s “Media Sharks”: The Digital Music Record Label in a Classical University

The article showcases the value aspects of a music record label in a classical higher education institution. In the article, I elicit specific features of conceptualizing and starting-up the main operational cycle with Media Sharks record label, which has been founded at the Faculty of Communications, Media and Design at the HSE University. I overview the managerial and technological processes that are related to the organization of the project operation at the start-up of digital music product release with the forthcoming perspective of turning the project into the main operation cycle. Digital music record label in a classical higher education institution is deemed to be an innovative direction in the media education in terms of project-type research activity of the young scholars learning media literacy and music management: it fosters realization of academic, industrial, and educational purposes, substantial for popularization of personal brands of campus residents in the context of permanent growth of the university’s image. The model of launching the record label suggested in the article has been experimentally tested between August, 2021, and February, 2022. Currently, Media Sharks label is at the turn between experimental operation and the main operation cycle. The students—residents of the label release and promote their music compositions, arrange concerts and hybrid-type performative fashion shows together with designers and music industry professionals.
Constructing Tests distinct force speed of the legs’ in Free Swimming for the Advanced

The importance of the current research in Constructing tests (physical-skill) for free in-water swimming for applicants swimmers in the center and northern regions that can be relied upon in the future as a means of measuring and assessing the physical qualities of swimmers in the water, which is considered as the first of its kind in Iraq, in measuring the physical qualities of the applicants swimmers in the water for the efficiency of free swim in the water. The research aims to: - structure tests (physical-skill) in the effectiveness of free swimming for applicants swimmers in the center and northern regions of Iraq. - Using standardized scores and levels of (physical-skill) tests for free swimming which is designed in the research. Space domain: Al-Shaab Olympic Indoor Swimming Pool in Baghdad Governorate, Mosul University Swimming Pool in Mosul, Areen Swimming Pool in Erbil, Al Shimal Gas Club Swimming Pool in Kirkuk, and Azadi Swimming Pool in Sulaymaniyah in Iraq. The researcher used the descriptive approach, which goes with the nature of the research. The research community included swimmers applying for free swimming in some clubs in Baghdad, Sulaymaniyah, Kirkuk, Arbil, Mosul (the central and northern regions) in Iraq,he research sample was chosen in a deliberate way to achieve the aims of the research of 96 swimmers, representing the build samples for tests and standards, as the research sample (61.14%) of the total research community. As a result of the following scientific ways for the build tests, a number of physical-skill tests have been conducted in the water for the applicants' swimmers in the central and northern regions of Iraq, which have good scientific bases of sincerity, consistency, objectivity and appropriate natural distribution of 2 test, they are : - The distinct force speed of the legs’ hit from holding in the water (10 seconds). - The distinct force speed of the legs’ hit from the movement in the water (10 seconds).
Smart Contract Vulnerability Detection Based on Semantic Graph and Residual Graph Convolutional Networks with Edge Attention

It is imperative to assure the security of smart contracts via intelligent vulnerability detection tools before deploying smart contracts on blockchains. The existing deep learning-based approaches fail to effectively capture the rich syntax and semantic information embedded in smart contracts. In this paper, we detect smart contract vulnerabilities at the function level by constructing a novel semantic graph (SG) for each function and learning the SGs using a new graph convolutional network EA-RGCN. Our proposed method consists of three stages. In the first stage, we create the SG which characterizes rich data-data, instruction-instruction and instruction-data relationships in the function code. In the second stage, we propose EA-RGCN which contains three parts: node and edge representation via word2vec, content feature extraction with a residual GCN (RGCN) module, and semantic feature extraction using an edge attention (EA) module. Finally, we concatenate the code content features and the semantic features to obtain the global code feature and use a Multilayer Perceptron (MLP) to identify whether the function is vulnerable. We conduct experiments on the dataset constructed from real-world smart contracts. Experimental results demonstrate that the proposed semantic graph and the EA-RGCN model can achieve superior performance.
Improving College Students' Speaking Skills with the Assist of Information Technology

With the acceleration of economic globalization and the increase of foreign exchanges in all walks of life, the application of oral English is becoming more and more important.However, college school English education pays more attention to mechanized ways to train students on grammar, as well as reading and writing ability.Coupled with the lack of the authentic language learning contexts, students' speaking ability is hard to be developed.Thus, how to improve the efficiency of college oral English teaching has become a hot issue in the field of college English education.In the times of network information, a great amount of scholars have highlighted the potential values of integrating information technology into English speaking teaching and learning.This paper makes a brief discussion on technological products assist students' speaking skills in college.
A MULTI-PLATFORM APPROACH USING HYBRID DEEP LEARNING MODELS FOR AUTOMATIC DETECTION OF HATE SPEECH ON SOCIAL MEDIA

Hate speech on online social networks is a general problem across social media platforms that has the potential of causing physical harm to the society. The growing number of hateful comments on the Internet and the rate at which tweets and posts are published per second on social media make it a challenging task to manually identify and remove the hateful commentsfrom such posts. Although numerous publications have proposed machine learning approaches to detect hate speech and other antisocial online behaviours without concentrating on blocking the hate speech from being published on social media. Similarly, prior publications on deep learning and multi-platform approaches did not work on the topic of detecting hate speech in Englishlanguage comments on Twitter and Facebook. This paper proposed a deep learning approach based on a hybrid of convolutional neural network (CNN) and long short-term memory (LSTM) with pre-trained GloVe words embedding to automatically detect and block hate speech on multiple social media platforms including Twitter and Facebook. Thus, datasets were collected from Twitter and Facebook which were annotated as hateful and non-hateful. A set of features were extracted from the datasets based on word embedding mechanism, and the word embeddings were fed into our deep learning framework. The experiment was carried out as a three independent tasks approach. The results show that our hybrid CNN-LSTM approach in Task 1 achieved an f1-score of 0.91, Task 2 obtained an f1-score of 0.92, and Task 3 achieved an f1-score of 0.87. Thus, there is outstanding performance in classifying text as Hate speech or non-hate speech in all the considered metrics. Based on the findings, we conclude that hatespeech can be detected and blocked on social media before it can reach the public.
ANALYSIS OF RAINFALL AND TEMPERATURE TRENDS IN DUSTIN MA TOWN, DUTSIN-MA LOCAL GOVERNMENT AREA, KATSINA STATE, NIGERIA

The study examined the trend detection of rainfall and temperature in Dutsin-Ma, Dutsin-Ma Local Government Area, Katsina State. The study was aimed at determining the significance of rainfall and temperature trends in the area if it is in accordance with the global climate change scenarios. Secondary data (rainfall and temperature) for thirty-one (31) years from 1984-2014was used, the data was source from NOAA/NCEP and were subjected to the following analysis; Descriptive statistics, Mann Kendall, Sen’s Slope Model Estimator, Standardized Anomaly Index (SAI), and Rainfall Anomaly Index (RAI). The results revealed a significant decrease of rainfall at (p-value = - 0.0108mm), the values of Kendall Tau, Z- Statistics and Sen’s Slope forrainfall were (-0.3247mm, -2.5495mm and -26.11mm) respectively. There is a significant increase of temperature at (p-value = 0.0037 oC), the values Kendall Tau, Z- Statistics and Sen’s Slope for temperature were (0.3699 oC, 2.9068 oC and 0.0410 oC). The rainfall decrease at the rate of -0.0594-1 (mm) while temperature increase at the rate of 0.0597-1 (oC). There is (52%)of positive anomaly and (48%) of negative anomalies of rainfall while the temperature has (48%) of positive anomaly and (52%) of negative anomalies during the study period. The RAI is (- 3.51mm), which indicates very dry condition and the rainfall pattern changes every decade. The study concluded that there is significant increase in temperature and decrease in rainfall,anomalies of the climatic variable influences, climate variability in the area and Dutsin-Ma is classified as very dry climate and the rainfall pattern changes every decade. The study recommended that human activities which influence increase in temperature should be reduced.
Mahakavi Bharathi, The Forerunner of the National Education Policy

According to Bharathi's educational ideas, everyone can get an equal status in society through education. He lays down the curriculum to include basic writing, mathematics, history, geography, astronomy, religious-based education, economic education, inquiry-based science, political science, handcraft industry, agriculture, business, physical education, and field trips. He insists that mother tongue education is the best for education. He wants to develop the necessary vocabulary for science subjects. Female education is essential for national liberation. Education should be given to women as equal to men. He says that only then will there be equality. Industry, agriculture, commerce, and many other professions should be taught during education and uplift the community it belongs to. It will also help to uplift this country. As a sign of education, he advises empathy for simplicity, anger for smallness, and making those lower in status equal to him. Education about nationality, legal education, and physical education should be made compulsory. Education should be an expression of students' self-reflection. Bharathiyar has expressed all the above as educational thoughts through his poetry, essays, letters, journals, and lectures. The aim of this article is to show that Bharathi's educational ideas were the forerunners of today's national education policy.
Developers in focus! Developer Experience Analysis in a Collaborative Modeling Tool

research-article Share on Developers in focus! Developer Experience Analysis in a Collaborative Modeling Tool Authors: Miguel Silva Universidade Federal do Amazonas, Brazil Universidade Federal do Amazonas, BrazilView Profile , Lígia Teixeira Universidade Federal do Amazonas, Brazil Universidade Federal do Amazonas, BrazilView Profile , Afonso Silva Universidade Federal do Amazonas, Brazil Universidade Federal do Amazonas, BrazilView Profile , Genildo Gomes Universidade Federal do Amazonas, Brazil Universidade Federal do Amazonas, BrazilView Profile , Leonardo Barreto Universidade Federal do Amazonas, Brazil Universidade Federal do Amazonas, BrazilView Profile , Bruno Gadelha Universidade Federal do Amazonas, Brazil Universidade Federal do Amazonas, BrazilView Profile , Tayana Conte Universidade Federal do Amazonas, Brazil Universidade Federal do Amazonas, BrazilView Profile Authors Info & Claims SBES '22: Proceedings of the XXXVI Brazilian Symposium on Software EngineeringOctober 2022 Pages 68–77https://doi.org/10.1145/3555228.3555247Published:05 October 2022Publication History 0citation37DownloadsMetricsTotal Citations0Total Downloads37Last 12 Months37Last 6 weeks10 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Wearables’ Sustainability-Related Challenges Through Examining Smartwatch Users’ Post-Purchase Online Reviews

<p class="MsoNormal" style="margin: 0in; line-height: normal; font-size: 11pt; font-family: Calibri, sans-serif; color: rgb(0, 0, 0);"><span style="font-size: 12pt; font-family: &quot;Times New Roman&quot;, serif;">The purpose of this study was to explore consumers’ awareness of wearables’ sustainability-related challenges by examining their post-purchase online reviews of the two most famous smartwatches, iWatch 5 and Active 2, in 2020. This study highlighted users’ criteria and challenges of using wearables through analyzing 1,532 review comments. Among the four major emerged themes (durability, functionality, trackability, and aesthetics), durability was the only theme directly related to its sustainability attributes. Battery durability was considered as one of the main sustainability-related challenges by smartwatch users at the post-purchase phase. Functionality, trackability, and aesthetics did not directly reflect its sustainability aspect but can influence consumers’ long-term satisfaction and intention of its use. The findings demonstrate that consumers have limited sustainability awareness of wearables at the post-purchasing stage, which leads to a new discussion question on how to enhance potential users’ sustainability awareness of wearables prior to or during their purchasing stage.</span><o:p></o:p>
Voice Acting: Hardware and Techniques

This chapter will focus solely on the art of voice acting, a crucial presentational component in many video games since the mid-1990s. We will expand on some related topics previously featured in the book, including microphones, while tackling new topics such as acoustic treatments.
Audio Solutions for Video Games

The purpose of this chapter is to give you an understanding of what modern video game audio solutions can offer and what it means to you as a musician/audio designer. You'll understand parts of the bigger picture of video game audio design without getting too technical. We will begin by examining a number of relevant terms (in no specific order).
SYNTHESIS

To increase the training speed of distributed learning, recent years have witnessed a significant amount of interest in developing both synchronous and asynchronous distributed stochastic variance-reduced optimization methods. However, all existing synchronous and asynchronous distributed training algorithms suffer from various limitations in either convergence speed or implementation complexity. This motivates us to propose an algorithm called synthesis (semi-asynchronous path-integrated stochastic gradient search), which leverages the special structure of the variance-reduction framework to overcome the limitations of both synchronous and asynchronous distributed learning algorithms, while retaining their salient features. We consider two implementations of synthesis under distributed and shared memory architectures. We show that our synthesis algorithms have [EQUATION] computational complexities for achieving an ϵ-stationary point in non-convex learning under distributed and shared memory architectures, respectively, where N denotes the total number of training samples and Δ represents the maximum delay of the workers. Moreover, we investigate the generalization performance of synthesis by establishing algorithmic stability bounds for quadratic strongly convex and non-convex optimization. We further conduct extensive numerical experiments to verify our theoretical findings.
Conclusion

We conclude briefly by reflecting on the overall journey undertaken in the book. Importantly, we conclude with a reminder that what we have presented is one, well worked through model of what it means to use a corpus. We invite the reader who disagrees with this model to take the opportunity to go away, in the spirit in which we began our work in Chapter 1, and argue for different choices to be made and a different coherent model to be proposed.
Projecting Punctuation From an Interpolated Translation and Commentary

Many classical Jewish texts were composed without punctuation, and modern punctuated versions are desired. We describe an algorithm we employed to create a punctuated digital edition of the Babylonian Talmud, a text composed in a mixture of Hebrew and Aramaic. Our approach is to first word-align the original Talmudic text with an interpolated translation and commentary composed by Rabbi Adin Steinsaltz. We apply heuristics to identify the governing punctuation in the commentary text and then project that punctuation along with other lexical features. Our results are quite good overall, with both recall and precision often in the 90%-95% range, when compared with an edited punctuated text.
Dynamic Body Models and Garments for Apparel Product Development: A Conceptual Model

<p class="MsoNormal" style="margin-bottom:0in;line-height:normal"><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif">In apparel product development, it is very important to understand body-garment relationships thoroughly to design a garment that provides both comfort and function to the wearer. Recently, four-dimensional (4D) technologies, which combine 3D body models with movements, have been gaining traction in the apparel industry as an innovative tool for product development. Practical benefits of these 4D systems to apparel product development as well as their potential other uses still need clarification. Nonetheless,3D/4D technologies hold great potential for the future of apparel product creation, as well as presentation and retail. Therefore, within the technological Components and Adoption (TCA) Framework, we propose a conceptual model to categorize the use of dynamic models and garments in apparel product development and offer suggestions for future research and teaching needs that would integrate innovative methods and technologies.</span><o:p></o:p>
Putting It All Together to Produce Effective Research

An R Companion for The Fundamentals of Social Research offers students the opportunity to delve into the world of R using real data sets and statistical analysis techniques directly from Paul M. Kellstedt, Guy D. Whitten, and Steven A. Tuch's new textbook. Workbook sections parallel chapters in the main text, giving students a chance to apply the lessons and techniques learned in each chapter in a statistical software setting. Detailed chapters teach students to reproduce results presented in the textbook, allowing them to become comfortable performing statistical analyses for evaluating causal claims through repeated practice. Step-by-step instructions for using R are provided, along with command lines and screenshots to demonstrate proper use of the software. Instructions for producing the figures and tables in the main text are integrated throughout the workbook. End-of-chapter exercises encourage students to formulate and evaluate their own hypotheses.
Applications

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.
Recognizing CAPTCHA using Neural Networks

CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) are distortions of texts or images so that they are still recognizable to most humans but can become difficult for a computer to recognize. Additionally, many CAPTCHAs also inject noise or additional structures such as blobs or lines into the image to further make it difficult to recognize. They are primarily employed as security measures on websites to prevent bots from accessing or performing transactions on the site. On the other hand, machine learning (ML) algorithms, in particular deep learning (DL) neural networks have been trained with significant success on similar problems such as handwritten digit recognition. This motivates us to build an ML-based CAPTCHA breaker that maps CAPTCHAs to their solutions.
Workshop Calistung berbasis Pictures Themes bagi Anak Usia Dini

“CALISTUNG”refers to the achievement of children on reading, writing, and counting. “CALISTUNG” becomes one indicator for the children on their development in the first grade of elementary school. Commonly, the children on its will have much time in the home with their mother, in which, the mother needs to look the development of them in order they have well achievement on “CALISTUNG”. For this case, the achievement will be a benefit for the children to enrich as well as develop their knowledge for the future. Thus, an appropriate strategy from the mother should be needed to improve the achievement of thei children, whereas, it is one indicator. By having this program, the team tries to describe an appropriate strategy for the mother in developing as well as improving the achievement of “CALISTUNG” based on visual media, in which, it is focused to the mother’s community in University of Muhammadiyah Tapanuli Selatan. This program is taken based on workshop method, it gives the materials about developing and improving achievement of the children on “CALISTUNG” based on visual media. The result shows that there is an effective achievement of the audiences to maximal the using of visual media in improving the achievement of their children on “CALISTUNG”. Hence, they can have the maximal using of an appropriate visual media to manage the development of their children on “CALISTUNG, whereas, they gets the media based on children needs.