Reviewerly/exHarmony huggingface dataset:
Crossed-Time Delay Neural Network for Speaker Recognition

Time Delay Neural Network (TDNN) is a well-performing structure for DNN-based speaker recognition systems. In this paper we introduce a novel structure Crossed-Time Delay Neural Network (CTDNN) to enhance the performance of current TDNN. Inspired by the multi-filters setting of convolution layer from convolution neural network, we set multiple time delay units each with different context size at the bottom layer and construct a multilayer parallel network. The proposed CTDNN gives significant improvements over original TDNN on both speaker verification and identification tasks. It outperforms in VoxCeleb1 dataset in verification experiment with a 2.6% absolute Equal Error Rate improvement. In few shots condition CTDNN reaches 90.4% identification accuracy, which doubles the identification accuracy of original TDNN. We also compare the proposed CTDNN with another new variant of TDNN, FTDNN, which shows that our model has a 36% absolute identification accuracy improvement under few shots condition and can better handle training of a larger batch in a shorter training time, which better utilize the calculation resources.
Fuzzy Memories of Enrique Hector Ruspini (1942–2019)

This paper is a personal obituary of Enrique Hector Ruspini, an extraordinary scientist, tireless researcher, a smart science organizer and a great man. It can only mention a few of his scientific and private interests, achievements and achievements.
IMPROVING ABILITY TO KNOW LETTERS THROUGH MOVEMENT AND SONG VIDEO SHOWS OF 4-5 YEARS OLD

This study aimed to improve the ability to recognize letters in children aged 4-5 years through motion video and song. The type of this study was a classroom action research were conducted in two cycles. Data collection techniques used observation, interviews, test, and documentation. Quantitative data analysis techniques used comparative data analysis, and qualitative data analysis used interactive model analysis. The validity of quantitative data used construct validity, while the validity test of qualitative data using triangulation and triangulation techniques. The results showed there is an increased ability to recognize letters that can be viewed through an increase in the percentage of completeness that in the first cycle of 65% and the second cycle by 82%.The increase was evidenced by the child's success in imitating / create form letters b,d,p,q,l,i, pronounce letter sounds b,d,p,q,l,i and distinguish the shape of the letter b and d, p and q, l and i. The conclusion of this study is the impression of motion video and song can improve the ability to recognize letters in children aged 4-5 years.
Mining large amount of short text data in your desktop

This work describes the classification of texts as being either crime-related or non-crime-related. Given the spontaneity and popularity of Twitter, we collected some posts related to crime and criminology, in the state of Sao Paulo-SP Brazil. However, this data set is not a collection of crime reports. As the web language is characterized by diversity including flexibility, spontaneity and informality we need a classification rule to filter the documents which really are in the context. The proposed methodology works in a two-step framework. In the first step, we partition the text database into smaller data sets which define text collections with characteristics (not necessarily directly observable) which allow a better classification process. This enables the usage of parallel computing which decreases the time process required for the technique execution. Later on, each subset of the data induces a distinct classification rule with a Supervised Machine Learning technique. For the sake of simplicity, we work with KMeans and KMedoids and linear SVM. We will present our results in terms of speed and classification accuracy using various feature sets, including semantic codes. Analysis with distinct classifier induction techniques as Random Forest, Logistic Regression, and Boosting is also provided. An application with a huge data set of 1,600,000 tweets written in English proofs the method's efficiency.
Su1580 FEASIBILITY OF BILIARY STENTING USING A NOVEL DESIGNED ANTI-REFLUX METAL STENT (ARMS) WITH DUCKBILL SHAPED DESIGN - AN EXPERIENCE OF 2 JAPANESE INSTITUTIONS -

The anti-reflux metal stent (ARMS) has emerged to overcome the recurrent biliary obstruction (RBO) due to food impaction. An optimal shape of anti-reflux valve is under examination, and laser-cut fully-covered self-expandable metal stent with duckbill shaped anti-reflux valve (Duckbill ARMS, D-ARMS; Kawasumi Laboratories) has been developed recently.
Online Education Market Trends and Forecast

The relevance of the study is due to the fact that, according to the estimates of the Organization for Economic Cooperation and Development (OECD), over the next 10–20 years, 14% of jobs will be fully or partially automated, and another 32% will undergo significant changes. Educational systems need to adapt to these changes. This is possible with the latest technologies that can significantly improve the quality of educational solutions. The results of testing conducted immediately after online training are presented. It is determined that such courses compete with books, lectures, and other traditional sources of knowledge.
The Role of Self-Worth in Children in their Adaptation to Kindergarten Conditions

The issue of psychological problems in children who enter kindergarten is growing more urgent. If you visit the kindergarten in summer during the period of newcomers’ adaptation, you will usually see the following scene: the parent consigns their child to the kindergarten, but the child is struggling to get used to the new conditions: he/she cries for hours, doesn't want to listen and follow the teacher, detaches from other kids, constantly asks the teacher to bring the mother back etc. Even if parents strictly follow the adaptation rules, for example, leaving the child with the teacher only for half-an-hour to hour, or staying with the child during the outdoor activities, or consigning the child to the care of an experienced teacher etc., it all may bring no result. In this article, we will try to discover the cause of all mentioned problems using the research of popular psychology and pedagogy scientists.
Active Learning from Skewed Data Solution with a Weighted Extreme Learning Machine

It is notable that dynamic learning can all the while improve the nature of the grouping model and decline the unpredictability of preparing examples. In any case, a few past contemplates have shown that the exhibition of dynamic learning is effectively disturbed by an imbalanced information dispersion. A few existing imbalanced dynamic taking in approaches additionally experience the ill effects of either low execution or high time utilization. To address these issues, this paper depicts a productive arrangement dependent on the outrageous learning machine (ELM) grouping model, called dynamic online-weighted ELM (AOW-ELM). The principle commitments of this paper include: 1) the reasons why dynamic learning can be upset by an imbalanced case conveyance and its affecting components are talked about in detail; 2) the various leveled grouping strategy is embraced to choose at first named occasions so as to dodge the missed group  impact and cold beginning wonder however much as could be expected; 3) the weighted ELM (WELM) is chosen as the base classifier to ensure the unbiasedness of occurrence determination in the technique of dynamic learning, and an effective online refreshed method of WELM is found in principle; also, 4) an early halting model that is like however more adaptable than the edge weariness model is exhibited. The exploratory outcomes on 32 paired class informational indexes with various irregularity proportions show that the proposed AOW-ELM calculation is more powerful and effective than a few state-of the-workmanship dynamic learning calculations.
Topological Properties of Digital Line

The main purpose of Digital topology is the study of topological properties of discrete objects which are obtained digitizing continuous objects. Digital topology plays a very important role in computer vision, image processing and computer graphics. The ultimate aim of this article is to analyze the behavior of various general topological concepts in the Khalimsky topology. In this article, we provide some results and examples of topology on $ \mathbb{Z}$, the set of all integers. Also, we explain the concepts of digital line and digital intervals with illustrative counterexamples.
GAN-Based Facial Attractiveness Enhancement

We propose a generative framework based on generative adversarial network (GAN) to enhance facial attractiveness while preserving facial identity and high-fidelity. Given a portrait image as input, having applied gradient descent to recover a latent vector that this generative framework can use to synthesize an image resemble to the input image, beauty semantic editing manipulation on the corresponding recovered latent vector based on InterFaceGAN enables this framework to achieve facial image beautification. This paper compared our system with Beholder-GAN and our proposed result-enhanced version of Beholder-GAN. It turns out that our framework obtained state-of-art attractiveness enhancement results. The code is available at https://github.com/zoezhou1999/BeautifyBasedOnGAN.
GENERAL TRENDS OF PROFESSIONAL TRAINING OF TEACHERS IN THE CONTEXT OF IMPLEMENTATION OF INTERDISCIPLINARY RELATIONS (FOREIGN EXPERIENCE)

The article deals with the question of applying the principles of cross-curricular approach in higher education in the countries of the West. The concept of interdisciplinary research is based on the premise that concepts and facts are not studied in isolation from each other. An analysis of the development of higher education in Europe and the US made it possible to highlight its general trend. It defines the application of cross-domain communication principles. Implementation of the cross-curricular approach is considered as a promising method for professional training of students for the application of knowledge in other disciplines. Common terms of this direction are defined. They are: cross-curricular approach, interdisciplinary approach, multidisciplinary approach, cross-disciplinary approach, transdisciplinary approach. A comparative characteristic of integration approaches is proposed. Cross-disciplinary analysis - studies a problem that is usually transformed into one discipline through the prism of another discipline (for example, learning a foreign language of professional communication is studied through profiling disciplines). Multidisciplinary analysis - considers the problem from different points of view, without making a joint effort for the systematic integration of disciplinary views. Inter-disciplinary analysis - considers the problem from different points of view, which leads to a systematic effort to integrate alternative views into a single or holistic framework of analysis The interrelationships between three different approaches are established. Given the differences, the three approaches have much in common. Thus, the level of discipline Multidisciplinary study based on themes. Interdisciplinary skills and concepts are embedded in the standards of the discipline. The transdisciplinary approach takes into account the real life context. In the context of the cross-curricular approach, the integration of scientific literacy with the use of information literacy skills is considered. The purpose of information literacy is to improve both scientific and information literacy of students, the introduction of the concepts of scientific literacy in courses related to relevant topics. This model allows students to better understand scientific information and expand the scientific topics on which the research is conducted. Special attention in the European educational space given to study foreign languages. In the context of an interdisciplinary approach, this means that semantic subjects are taught and studied in a language that is not the student’s native language.
The effectiveness of the use lecture journal books in improving learning outcome of PGSD student's

&lt;p&gt;Student lecture journals are a form of development of notebooks that are commonly used by elementary, middle and high school students. Lecture journals contain a summary of lectures in one day and are made more systematically accompanied by a clear format. But the use of lecture journals at the tertiary level is still very low. Therefore, the purpose of this study is to see whether the use of lecture journals can improve student learning outcomes. The type of research chosen is quantitative to see the significance of the use of the control class and the experimental class. Data will be tested using t-independent test. T test results show that lecture journals can influence student learning outcomes. To see the enhancements used the formula test-gain / normalized gain. Based on the results of the calculation of the gain-test / normalized gain it can be seen that there is an increase in student learning outcomes for the experimental class using lecture journals in learning by 22.67%. Whereas students who did not use lecture journals increased learning outcomes by only 14.6%. This shows that student learning outcomes can be improved if students use lecture journals in the learning process&lt;/p&gt;
김춘수의 무의미시의 의미

This study focus to show the process of Kim Chun-su coming to Meaningless Poetry and the significance of his own Meaningless Poetries. Kim Chun-su’s tendency on poetry made its transitions starting from Meaningful Poetry to Meaningless Poetry and once again ended up as Meaningful Poetry. However, unlike how it’s shown from his transitions, his poetries did not show distinctive difference on each tendencies (i.e., Meaningful Poetry and Meaningless Poetry), suggesting that his poetries had both tendencies coexist from the very beginning.The current study examined few of Kim Chun-su’s early poetries to show the coexistence of both tendencies (i.e., Meaningful Poetry and Meaningless Poetry). Moreover, as embodying these tendencies, Kim Chun-su studied Western and Korean poetries to develop his own.After 4.19 Revolution started in 1960, Kim Chun-su was influenced over Kim Soo-yung’s poetic narration which embodied contemporary social and political remarks, vulgarisms, and buzzwords. Thus, Kim Chun-su changed his values that poet should not be sacrificed over social idea and ideology which lead to Descriptive Image and eventually ended up as Meaningless Poetry.One of Kim Chun-su’s early poet,『Naui Hananim』shows his attempt on paralleling Metaphoric Image on Meaningless Poetry. Furthermore, he advanced his style by adding syntactic and metonymic style to Descriptive Image. Specifically, the poet 『Noonmool』 represents such style of Meaningless Poetry. In addition, 『Moolttorae』,『Haneulsoopark』, and『Cheoyongdanjang jea2 5』 represents Meaningless Poetry by adding rhythm. However, these attempts as Meaningless Poetry does not seem successful. Rhythm is often viewed shamanistic with its repeating words. Though, the Meaningless Poetry is more like poet’s unconscious mumbling rather than freedom of speech. Therefore, in spite of Meaningless Poetry aims to portray the freedom of speech, rhythmic patterns are hard to be categorized as such due to the poet’s unconscious expressions.Kim Chun-su later made his transition to Meaningful Poetry.
Factors influencing interface design skills

Abstract This study aims to reveal several factors that affect student’s interface designing skills. There are some variables that influence student’s competencies encompassing motivation and prior knowledge, which determine the success of maximizing student’s cognitive and interface designing skills. This study used quantitative research approach with 39 total university students. The obtained data were analyzed using Path Analysis that measured cause-effect phenomena occurred in a multiple regression. In accordance with the results of SPSS Amos, the value of Chi-Square was 0.236, Df = 1 with p = 0.627. As the p value was more than 0.05, so that the analysis model result was not significantly different from the data. The estimation value between the values of prior knowledge and interface designing skills was very strong (β = 0.912). This indicated that there is a significant influence of prior knowledge on interface designing skills, whereas, there was a weak relationship between other variables. Therefore, the analysis model was precise to portray the relationships between variables and the variable of prior knowledge became the most influential factor on student’s interface designing skills.
Blockchains, Cryptocurrency, and Smart Contracts Technology: Security Considerations

Blockchain was originally block chain, a continuously growing list of records, called blocks, which are linked data blocks and secured using cryptography. Today’s block contains a cryptographic hash of the previous block, a timestamp, and transaction data, and it is represented as a Merkle tree. Transaction data consists of transactions. The data from each block hashes into a unique cryptographic number—a hash—as it links onto the next block. The unique number or hash makes each block on the blockchain immutable. This means a block of data on the blockchain can never be changed again. Thus, blockchains are inherently resistant to modification of the data. The blockchain is stored in a distributed peer-to-peer network of servers, and any transaction, between any two or more parties, that uses the data in any of these blocks must be approved by a majority of all network servers using efficiently verifiable protocols. Once recorded, the data in any given block cannot be altered retroactively without the alteration of all subsequent blocks, which requires collusion of the network majority. This last feature of decentralized consensus, possessed by the blockchain technology, gives it broad appeal in a variety of areas requiring recording of events such as medical records, all types of records management activities, such as identity management, transaction processing, documenting provenance, food traceability or voting . In this chapter, we discuss all these applications, security issues, and the future of blockchain technology.
Filtering Users Accounts for Enhancing the Results of Social Media Mining Tasks

Filtering out the illegitimate Twitter accounts for online social media mining tasks reduces the noise and thus improves the quality of the outcomes of those tasks. Developing a supervised machine learning classifier requires a large annotated dataset. While building the annotation guidelines, the rules were found suitable to develop an unsupervised rule-based classifying program. However, despite its high accuracy, the performance of the rule-based program was not time efficient. So, we decided to use the unsupervised rule-based program to create a massive annotated dataset to build a supervised machine learning classifier, which was found to be fast and matched the unsupervised classifier performance with an F-Score of 92%. The impact of removing those illegitimate accounts on an influential users identification program developed by the authors, was investigated. There were slight improvements in the precision results but not statistically significant, which indicated that the influential user program didn’t identify erroneously spam accounts as influential.
Randomly perturbing the bytecode of white box cryptography implementations in an attempt to mitigate side-channel attacks

This study takes one step further towards constructing a tool able to automatically amplify the security on your cryptographic implementations. In white box cryptography the encryption key is hidde ...
HIPAA Compliance Checklist + 3 Sure Ways to Show Adherence

Learn how to show proof of HIPAA compliance to your stakeholders and review this concise HIPAA compliance checklist.
THE PSYCHOLOGICAL FEATURES OF MODERN STUDENTS’ PROFESSIONAL READING DURING SELF-EDUCATION

The article presents the empirical study on the psychological features of modern students’ professional reading, which was carried out in the context of the problem of students’ self-education and their readiness for it.&nbsp; The respondents’ answers to closed, half-open and open questions for the author’s questionnaires “My self-educational work”, “Experimental situations”, “I cognize my profession” were analyzed. These questions were about: 1) doing self-educational work and its vector (whether it is related to the acquired profession or not); 2) regularity of self-educational work; 3) a place of self-educational reading in self-educational work; 4) readiness to self-educational reading in situations of professional need; 5) the results of professional reading; 6) the desire and ability to read scientific, professional literature; 7) understanding of the value of professional reading for professional work. We determined that students’ self-educational work was used for different purposes: to deeper and wider knowledge on various aspects of the acquired profession; to obtain knowledge in other areas not directly connected with the profession. An important part of students’ self-education is corresponding reading. Internet information was used as a reading source in the most cases. Books also were widely used. Many students resorted to other types of activities helping them in their self-education – participation in trainings, master classes, watching videos, ets. However, not all students (regardless of their academic year) were ready to resort to self-educational reading when they needed certain knowledge for practical work. Not all students expressed a desire to read large volumes of information and were able to process them, understand the personal significance of self-educational reading and the importance of working with professional literature. The following psychological features of reading as the way of modern students’ self-education were determined: focus on Internet resources; worsened understanding of the importance of professional literature for practice; searching for short information in professional literature; the understanding of reading importance to gain professional knowledge, but &nbsp;searches for alternative ways to obtain information; irregular self-educational reading of professional literature, reduced understanding of the personal significance of such activities; reduced desire and worsened ability to process large amount of textual information and bad readiness to use reading for practical needs. The general recommendations to accustom modern students to systematic, professional, self-educational reading are presented. &nbsp