Reviewerly/exHarmony huggingface dataset:
Fine-grained Noise Control for Multispeaker Speech Synthesis

A text-to-speech (TTS) model typically factorizes speech attributes such as content, speaker and prosody into disentangled representations.Recent works aim to additionally model the acoustic conditions explicitly, in order to disentangle the primary speech factors, i.e. linguistic content, prosody and timbre from any residual factors, such as recording conditions and background noise.This paper proposes unsupervised, interpretable and fine-grained noise and prosody modeling. We incorporate adversarial training, representation bottleneck and utterance-to-frame modeling in order to learn frame-level noise representations. To the same end, we perform fine-grained prosody modeling via a Fully Hierarchical Variational AutoEncoder (FVAE) which additionally results in more expressive speech synthesis.
Recognition and detection with deep learning methods

The method of recognizing traffic signs through image processing has increased in popularity along with advanced driver assistance systems. Drivers may have difficulty reading and detecting traffic signs due to fatigue, weather conditions and speed while driving. In our study, traffic signs rectangular, square, circle and so on. Regardless of the type of different plates seen in the country, even if the correct detection is aimed. By sending the model as a parameter while training, the only thing that needs to be done within the scope of adding a new plate is to retrain our model. Before starting learning, the image was enhanced to improve the performance of the algorithm by using the Contrast Restricted Adaptive Histogram Equation (CLAHE) method in data processing. In our study, results were obtained with 2 deep learning models unlike classical CNN architecture. VGG-16 and Xception deep learning models were compared with each other. SGD and Adam optimization methods were tried for both models and the optimum method was found for our study. Our study has reached an accuracy value of up to 98.38%. The speed performance of our method is sufficient to enable a real-time system implementation in the future. In order to understand the results of our experimental tests in the system to be used, it has been turned into a return parameter and the driver can be integrated with the vehicle regardless of the screen and used with voice assistant or small structures to be added independently of the vehicle.
Characteristics and Changes of China's Publication Policy: Focusing on the 13th and 14th Five-Year Plans Period

This study attempted to explain the promotion system and changes in China's publishing policy during the 13th 5-year rule period (2016-2020) and the 14th 5-year rule period (2021-2025) through literature analysis of Chinese publishing policy documents, academic research, and reporting. First of all, China's publishing-related ministries continue to support the publishing industry and public libraries during the 12th five-year period, expanding reading infrastructure in rural areas, and support overseas publications. In addition, the reading rate of Chinese people is also increasing along with the increase in the publication of paper and e-books by domestic Chinese publishers. In addition, since the Central Propaganda Department of the Communist Party of China became the responsible department of China's publishing policy from March 2018, China's publishing policy promotion system has strengthened its connection with the Communist Party and Xi Jinping's ideas and policy promotion and education. However, despite the ongoing difficulties of offline bookstores in China due to the discount competition of Chinese e-commerce companies, Chinese publishing ministries do not implement a book sales price system and only local governments in some administrative districts provide subsidies for offline bookstores. In addition, copyright infringement of overseas video content by some Chinese companies and the prohibition of publications criticizing China's political and social problems continue.
A study on the meaning of education in the first issue of an educational magazine

This study examined the meaning of education by analyzing the cover, table of contents, and contents of the first issue of an educational magazine founded in the 1990s from the liberation of 1945 to the 1990s. The main contents of the study are as follows. First, the main theme of educational magazines launched during the liberation period in 1945 and the 1950s was ‘reconstruction and common sense of education’. Second, educational magazines launched in the 1960s and 1970s focused on 'enlightenment and popularization of education'. Third, educational magazines launched in the 1980s often focused on 'reformation and specialization of education'. Fourth, the educational magazine, launched in the 1990s, focused on nurturing talented people needed by our society and improving school education, and aimed at 'diversification and advancement of education'. These results suggest that today's educational magazines should not only play the role of information magazines that reflect the flow of education, but also focus on the production of high-quality articles tailored to readers.
A study of preservation and application of the first issues of magazine: based on the case of the first issues of Gachon Museum’s Magazine

The purpose of this study is to examine the current status of the magazine's founding issue owned by the Gachon Museum and the philosophy of the museum's founder, and to present a plan for the preservation and utilization of the magazine. As a result of the study, the Gachon Museum was listed in the Guinness Book of Records as the largest collection of more than 20,000 first editions in Korea, including rare and unique editions. In addition, this study suggested that the establishment of digital archives (digital standardization of analog data, card news production of original content, metaverse use, audio book conversion of mixed text in Korean and Chinese), museum education (including education on the value of museum founders as well as contents), government financial and institutional support and public interest are needed. Through this, this study is meaningful in providing practical and academic implications to the magazine industry and publishing academia, which are seeking new possibilities.
Pedagogical possibilities of information education environment in the development of socio-pedagogical competence of future teachers

The content of the terms "environment", "educational environment", "educational environment" and "informational educational environment" is revealed in the article. In the context of the globalization of society, the role of the information education environment and its pedagogical possibilities are scientifically based. Also, the purpose, tasks and conditions of creating an information environment in modern educational conditions are revealed.
Few-Shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-learning

Clinical adoption of personalized virtual heart simulations faces challenges in model personalization and expensive computation. While an ideal solution is an efficient neural surrogate that at the same time is personalized to an individual subject, the state-of-the-art is either concerned with personalizing an expensive simulation model, or learning an efficient yet generic surrogate. This paper presents a completely new concept to achieve personalized neural surrogates in a single coherent framework of meta-learning (metaPNS). Instead of learning a single neural surrogate, we pursue the process of learning a personalized neural surrogate using a small amount of context data from a subject, in a novel formulation of few-shot generative modeling underpinned by: 1) a set-conditioned neural surrogate for cardiac simulation that, conditioned on subject-specific context data, learns to generate query simulations not included in the context set, and 2) a meta-model of amortized variational inference that learns to condition the neural surrogate via simple feed-forward embedding of context data. As test time, metaPNS delivers a personalized neural surrogate by fast feed-forward embedding of a small and flexible number of data available from an individual, achieving – for the first time – personalization and surrogate construction for expensive simulations in one end-to-end learning framework. Synthetic and real-data experiments demonstrated that metaPNS was able to improve personalization and predictive accuracy in comparison to conventionally-optimized cardiac simulation models, at a fraction of computation.
PANDEMIC AND NEW PARADIGMS IN THE DEVELOPMENT OF PHILOSOPHY OF HIGHER EDUCATION

The article discusses the problems, related to the critical situation during a pandemic in the field of higher education, as well as finding ways and introducing new teaching methods education a full-fledged opportunity. The lessons and findings of the self-evaluations on the need to develop and implement new model education process, which can be called combined, provided by digital didactics.
RELATIONSHIPS OF THE CATEGORY OF CORRECT EQUATIONS WITH OTHER CATEGORIES

Previously, we introduced a new general concept of an equation using the concept of “predicate” based on the principle of preserving the solution under transformations and constructed elements of the category of equations based on known categories. For a uniform presentation of problems in the theory of dynamical systems, as well as for a more systematic application and generalization of known methods, it is proposed to apply the approach of category theory. In this article, we introduced the concept of the category of correct equations with the inclusion of the well-known "Hadamard correctness" and gave examples of transformations with the preservation of correctness. The purpose of this article is to link this concept with other categories.
IstikhdÄm Kahoot Kawasilah Taâ€™lÄ«miyah Tafaâ€™uliyah bi Al-Arabiyyah

This study aims to determine students' perceptions of the use kahoot as an interactive learning media in Arabic in increasing motivation to learn Arabic. The approach used is descriptive quantitative. The subject of this study was a total of 40 students. Data collection techniques are carried out by observation, questionnaire, interview and documentation. Data analysis techniques were carried out using statistical product and service solution (SPSS) technique version 20.00. The use of kahoot as an interactive learning media in Arabic is the focus of the study. The findings of this study indicate that learning using kahoot media is very interesting with a percentage of 82.50%, students get positive things with a percentage of 62.50% strongly agree and 37.50% agree, kahoot media fosters student motivation in learning Arabic with a percentage of 52, 50% agree, 40.00% strongly agree, kahoot makes learning more interactive with a percentage of 40% female students agree, 40% of children strongly agree. Thus it can be concluded that the use of kahoot can foster student motivation and make Arabic learning more interactive.
E-Cefit Test (Certification Test) sebagai Penunjang Profesi Akuntan dalam Menghadapi Era Artificial Intelligence

Technology is increasingly developing into a means to facilitate human work and activities. One of them facilitates the performance of an accountant to be able to complete work precisely, quickly, and accurately. The sophistication of this technology is the main target so that every job can be completed perfectly with the help of the application system. Technological sophistication that can be utilized in the accounting field, especially by an accountant, is in the form of using an application system that utilizes artificial technology. But on the other hand, it is feared that technological developments will eventually be able to shift the accounting profession itself. To become a professional accountant, of course, requires certification that has met the qualification standards in accordance with the main competencies and special competencies in the accounting field. This study seeks to improve the soft skills of accountants to be able to compete in the artificial intelligence era so that the accounting profession cannot be replaced in the future. The implementation of this soft skill improvement is in the form of special training based on application technology, which is able to support the performance and readiness of accountants in facing the Certified Statement of Financial Accounting Standards or often abbreviated as CPSAK. This study uses a descriptive qualitative approach as an effort to understand the various concepts found in the research process, using content analysis techniques. Content analysis technique is a research method used to find out the conclusions of a text or in other words, content analysis is a research method that wants to reveal the author's ideas that want to be implemented. From this research, it is able to produce the application of E-Cefit Test (Certification Test) as a special training effort in order to be able to produce professional accountants. This application is designed to prepare prospective accountants to pass the certification exam through technology-based online learning media.
Educandy Platform in Improving the Understanding of Arabic Vocabulary for High School Students During the Pandemic

Students' understanding of Arabic vocabulary is one of the benchmarks for success in learning. The absence of the use of innovative and interactive learning media causes the Arabic learning process to be suboptimal. This study uses the educandy platform as a learning media to facilitate students in the learning process. This study aims to determine the effectiveness of the educandy platform in improving understanding of Arabic vocabulary. This study uses a quantitative approach to the type of experiment which aim of knowing whether there is an effect of giving or treating the research subject. The research instruments used for data collection were questionnaires and tests. The data presented in this study uses paired sample t-test analysis techniques and the N-Gain formula using pre-test and post-test scores. The results of this study describe a fairly high difference between the pre-test average value of 44.66 and post-test 85.17, there is a difference in the average learning outcomes between the pre-test and post-test with a sig value of 0.000 &lt; 0,05, the effectiveness results with the N-Gain formula of 0.73 are included in the "high" category. Therefore, the educandy platform is quite effectively used to improve understanding of Arabic vocabulary.
Multilayer‐neighbor local binary pattern for facial expression recognition

Summary Facial expression recognition (FER) has drawn the interest of practitioners and researchers due to its potential in opening new business opportunities. One critical aspect of any successful FER system is a feature extraction method that can efficiently find sufficient facial features and characterize facial expressions. This paper proposes an appearance‐based feature extraction method by introducing a local feature descriptor, a multilayer‐neighbor local binary pattern (LBP), for recognizing facial expressions. This new LBP operator is an extension of the original one‐layer‐neighbor LBP to two‐layer‐neighbor and three‐layer‐neighbor LBPs. We extract features by comparing new center points with neighborhood points. In addition, based on facial landmark locations, we extract active facial blocks during emotional stimulations. These prominent facial blocks utilize facial symmetry to improve the accuracy and speed of expression recognition. After using principal component analysis to reduce the dimensionality of features, we use a support vector machine to assign expressions to seven categories. We evaluate the proposed method by comparing it with other commonly used methods, and the proposed method is more accurate. Implications for business researchers are discussed.
FEMINIST OBJECTIFICATION: CRITICAL DISCOURSE ANALYSIS OF FEMINIST CRITICISM OF TRADITIONAL SPOUSAL SEXUAL DISCOURSES AND PRACTICES

This paper attempts to critically analyze the feminist constructions of traditional discourses and practices about spousal sexual relationships as discussed and debated in online Urdu weblogs in Pakistan. Using critical discourse analysis framework, the paper conducts a detailed textual analysis of an article published in online Urdu weblog "humsub.com.pk". CDA is used here to present an exposition of underlying ideologies, discourse strategies and textual tactics used by feminist authors to subvert traditional discourses of sexuality, power relations and sexual ethics. These ideological and power aspects of written texts are studied through various methodologies however the present paper has used Fairclough's (2003) three-dimensional model of discourse analysis. This paper is part of an ongoing doctoral research study in which three online Urdu Weblogs are selected as data sources for the period of two years (March 2019 to March 2021). For the purpose of the paper only a selected article is analyzed within the context of a larger data set. The selected media text is was published in Urdu language in June 2021 on humsub.com.pk. This paper aims at describing how liberal secular feminist discourses of sexuality and sexual freedom criticize traditional discourses and practices but these critical feminist discourses fail to engage in rational debates and mainly remain emblems of denial and refusal. Keywords: Critical discourse analysis, discursive, feminist discourse, traditional discourse, discourses of sexuality, textual tactics.
Database Migration Tools: From RDB to NoSQL Database

Migration is a complex process and involves many challenges like correct schema mapping, correct data transfer, indexing, and error fixing. The objective of data migration is to enhance the overall quality and usefulness of the data. Database migration is difficult to do manually, and numerous tools have been developed to simplify the complicated task. This paper outlines the existing data migration tools present in the market. We have classified the tools into two categories: 1. Academic research-based tools, 2. Industry-driven tools. Academic researchers developed and proposed Academic research-based tools, whereas Industry-driven tools are produced by many popular organizations like Google, Amazon, IBM, and Microsoft. Thus, this study aims to contribute to the state-of-the-art database migration field, an active area of research over the past decade. Additionally, it serves as a foundation for selecting and developing relational-to-NoSQL data migration tools. This paper proposes future research directions to facilitate the broader adoption of migration tools in Academia and Industry.
A Tool for Describing and Checking Natural Semantics Definitions of Programming Languages

Many universities have courses and projects revolving around compiler or interpreter implementation as part of their degree programmes in computer science.In such teaching activities, tool support can be highly beneficial.While there are already several tools for assisting with development of the front end of compilers, tool support tapers off towards the back end, or requires more background experience than is expected of undergraduate students.Structural operational semantics is a useful and mathematically simple formalism for specifying the behaviour of programs and a specification lends itself well to implementation; in particular bigstep or natural semantics is often a useful and simple approach.However, many students struggle with learning the notation and often come up with ill-defined and meaningless attempts at defining a structural operational semantics.A survey shows that students working on programming language projects feel that tool support is lacking and would be useful.Many of these problems encountered when developing a semantic definition are similar to problems encountered in programming, in particular ones that are essentially the result of type errors.We present a pedagogical metalanguage based on natural semantics, and its implementation, as an attempt to marry two notions: a syntax similar to textbook notation for natural semantics on the one hand, and automatic verification of some correctness properties on the other by means of a strong type discipline.The metalanguage and the tool provide the facilities for writing and executing specifications as a form of programming.The user can check that the specification is not meaningless as well as execute programs, if the specification makes sense.
215.3: Prediction of Post-transplant Hospitalization Among Kidney Transplant Recipients With Clinical Notes and Electronic Healthcare Record Data

Background: Rehospitalization after kidney transplant is costly to patients and healthcare systems and is associated with poor outcomes. Prediction models have previously been used to identify patients at risk of rehospitalization with limited success. Few studies have examined the inclusion of free-text data from clinical notes in the electronic medical record (EMR) and natural language processing (NLP) techniques to enhance the prediction of rehospitalization. Methods: In this study, we aimed to include EMR clinical notes in predictive models of 30-day rehospitalization (30DR) post-kidney transplant in a retrospective, observational study of first-time recipients of kidney transplant at a large, urban hospital in the Southeastern United States between January 2005 and December 2015 using both structured (EMR) and unstructured (i.e. clinical notes) data. We used NLP techniques on eight types of clinical notes, which were mined for possible new predictive features of 30DR post-kidney transplant and included in predictive models built with unsupervised machine-learning approaches and text mining using Term Frequency-Inverse Document Frequency (TF-IDF) methods. We built several predictive models, including structured data only, and combinations of structured data with clinical notes. The area under the curve (c-statistic) was used to determine and compare model accuracy, and 5-fold cross-validation was used to test model performance. Results: Among 2,060 kidney transplant recipients, 30.7% were readmitted within 30 days. The mean age was 51 years and 47% were Black or African American. TF-IDF identified words that most frequently appear in one clinical note but least frequently in all other documents (Figure). Predictive models had similar performance when considering structured data from the EMR only (c-statistic 0.6821; 95% CI 0.6644, 0.6998) and combined structured + progress notes (c-statistic: 0.6902; 95% CI 0.6699, 0.7105). Predictive models built with clinical notes alone performed worse than models using structured data. Notes that improved model performance the most were more heavily clinical, including progress notes, consultation notes, and discharge summaries (Table). Conclusions: Future multi-center studies should use more advanced NLP techniques to create novel predictors from social worker and other non-medical but important predictive notes. Researchers should also consider pooling data from multiple institutions to increase sample size.Reducing Disparities among Kidney Transplant Recipients (R01MD011682) funded by National Institute on Minority Health and Health Disparities (NIMHD).
Place and Role of Innovative Technologies in Optimizing the Pedagogical Process

Today the concepts of “educational technologies”, “pedagogical technologies”, “learning technologies”, “innovative technologies”, “innovative pedagogical technologies”, etc. are increasingly common. Turning to these concepts, it should be noted that in the research works of recent years they have received many definitions and interpretations, the essence of which is determined by how the authors represent the structure of the educational process and its components. It is advisable, in our opinion, to clarify the meaning, place and relationship of these concepts in the thesaurus of pedagogy.