Reviewerly/exHarmony huggingface dataset:
Method of determination of the text direction on the image with the use of convolutional neural network

This article deals with method of binary classification of images with small text on them Classification is based on the fact that the text can have 2 directions – it can be positioned horizontally and read from left to right or it can be turned 180 degrees so the image must be rotated to read the sign. This type of text can be found on the covers of a variety of books, so in case of recognizing the covers, it is necessary first to determine the direction of the text before we will directly recognize it. The article suggests the development of a deep neural network for determination of the text position in the context of book covers recognizing. The results of training and testing of a convolutional neural network on synthetic data as well as the examples of the network functioning on the real data are presented.
Three-dimensional face virtual plastic system and method

ObjectiveTo explore the clinical application of three-dimensional face virtual plastic system.Methods80 patients (28 males and 52 females, aged 18-40 years) who underwent facial plastic surgery in Xiangya Hospital were sampled with two-dimensional human color images and three-dimensional human point cloud data continuously. Face detection was performed on the collected data, and super-resolution fusion was performed on the detected three-dimensional human point clouds. A three-dimensional face model was built using the fused three-dimensional face point cloud data, and the texture mapping technology was used to realize the mapping from two-dimensional color image to three-dimensional face model. Finally, patients and doctors perform virtual surgery on the three-dimensional face model interactively to obtain satisfactory target three-dimensional face model. By comparing the changes of three-dimensional face model before and after virtual surgery, the data to be adjusted in the facial plastic surgery were obtained, and 80 patients received facial plastic surgery according to the data. The three-dimensional face model of patients was reconstructed one year after operation, and then compared with the model of virtual surgery to evaluate the effect of plastic surgery.Results80 patients underwent plastic surgery with the above method, including 6 cases of medial canthus, 9 cases of lateral canthus, 20 cases of rhinoplasty, 25 cases of lip thinning, and 20 cases of facial fat grafting. One year after operation, 80 patients were satisfied with the result of plastic surgery.ConclusionsThe three-dimensional virtual facial plastic system makes the process of plastic design individualized, quantified and digitized. It enables patients to have a better understanding of prognosis in advance, facilitating the communication between doctors and patients, and reducing unnecessary medical disputes.Key words: Face; Virtual, plastic surgery; Three-dimensional reconstruction
SOCIAL NETWORK SENTIMENT ANALYSIS TOOLS FOR THE DETECTION OF MENTAL ILLNESS: A SYSTEMATIC MAPPING

The growing demand of users on the Internet and their dependence on it has caused websites such as Twitter or Facebook to become a source of personal information for each user, which is why, within the psychological context, one can take advantage of it by analyzing the publications of each of these users; on the other hand, the importance of detecting mental disorders in a person has grown exponentially, so that in recent years several analysis tools have been developed to detect a person's mental state.This systematic mapping work details relevant information about the analysis tools and their importance to society, as well as describing the methodology used in this article, its results, conclusions and proposals for future work.
Data-Adapted Parallel Merge Sort

In the aerospace sciences we produce huge amounts of data. This data must be arranged in a meaningful order, so that we can analyze or visualize it. In this paper we focus on data that is distributed among computer processes and then needs to be sorted by a single root process for further analysis. We assume that the memory on the root process is too small to hold all sorted data at once, so that we have to perform the sorting and processing of data chunk-wise. We prove the efficiency of our approach in weak scaling tests, where we achieve a near constant bandwidth. Additionally, we obtain a considerable speed up compared to the standard parallel external sort. We also demonstrate the usefulness of our algorithm in a real-life aviation application.
Widening the Discussion on “False Friends” in Multilingual Wordnets

There are wordnets in many languages, many aligned with Princeton WordNet, some of which in a (semi-)automatic process, but we rarely see actual discussions on the role of false friends in this process. Having in mind known issues related to such words in language translation, and further motivated by false friend-related issues on the alignment of a Portuguese wordnet with Princeton Wordnet, we aim to widen this discussion, while suggesting preliminary ideas of how wordnets could benefit from this kind of research.
Effects of health education based on behavior change wheel theory on functional exercise compliance of stroke patients

ObjectiveTo explore the effects of health education based on behavioral change wheel theory on functional exercise compliance of stroke patients.MethodsUsing convenience sampling method, we selected 70 stroke patients hospitalized in Beijing Shijitan Hospital from June 2018 to April 2019 as the research object, and divided them into control group and observation group according to the odd and even number of hospitalization, with 35 cases in each. Finally, 30 cases were included in the control group and 32 cases in the observation group. The control group was given routine health education and routine follow-up after discharge. The observation group was given health education based on the theory of behavioral change wheel. Three months after discharge, exercise compliance and satisfaction with nursing were compared between the two groups.ResultsBefore intervention, there was no significant difference in the scores of each dimension and total score of functional exercise compliance between the two groups (P>0.05) .After intervention, the scores of each dimension and total score of functional exercise compliance in the observation group were higher than those in the control group, and the difference was statistically significant (P<0.05) . There were 8 very satisfied cases, 18 satisfied cases and 4 unsatisfied cases in the control group, and the satisfied rate was 86.7%. There were 22 very satisfied cases and10 satisfied cases in the observation group, and the satisfied rate was100%. The difference was statistically significant (P<0.05) .ConclusionsHealth education based on behavioral change wheel theory can improve functional exercise compliance and nursing satisfaction of stroke patients, and is conducive to functional rehabilitation of patients, which is worthy of clinical promotion.Key words: Stroke; Functional exercise; Compliance; Behavior change wheel
Reading Interest And Reading Comprehension

Reading comprehension is an activity to find meaning or message from the writer through the text they read. This research seeks to know the relationship between reading interest and reading comprehension. There were 38 students are engaged in this study as respondents who selected by using simple random sampling technique. The respondents are the students who have been doing reading class in second semester. Regression statistical technique and correlation are used to analyze the data. The result shows that there is a positive correlation between reading interest and reading comprehension. The level of their reading comprehension is determined by high or low of their reading interest. Based on the findings, reading interest that categorized as “very high” is found in creative reading comprehension group. This finding shows that the more students do reading, the easier they comprehend the meaning of what they read, both explicitly and implicitly. The result of the research can be one of considerations to the readers, especially for education practitioners in term of improving students’ reading comprehension.
Visual knowledge map analysis on the research of oversea nursing leadership

ObjectiveTo organize the relevant literature of foreign nursing leadership research, objectively and comprehensively understand the research path and progress of nursing leadership, and provide reference for better building and studying the leadership capacity of nursing staff in China.MethodsTaking the core journal of Web of Science as the data source and incorporating the literature related to nursing leadership research published in 1953-2018, we used Excel and CiteSpace version 5.3.R4 software to conduct quantitative analysis on the year, country, author, key words, cited articles, etc.ResultsThe analysis of visual knowledge map showed that: (1) the research of nursing leadership is booming; (2) the United States is in the leading position in the field of nursing leadership research; (3) a cooperative group with laschinger H.K.s, Cummings GG and Wong CA as the core has been formed; (4) the research focus is changed from focusing on nursing leadership style and physical and mental health of nurses to focusing on transformational leadership, and to nursing leaders' roles; (5) research in the future will focus on nursing leadership education and healthcare cooperation; (6) the knowledge base in this field mainly focused on the training and clinical practice of nursing leadership.ConclusionsThe research of nursing leadership in foreign countries has gradually matured from centralized development to diversified development, providing a reliable path for the development of leadership in China. In the future, we should strengthen the education and training of nursing leadership, attach importance to clinical practice, explore the leadership style with Chinese nursing characteristics, and establish a more perfect leadership model.Key words: Nursing; Leadership; Citespace; Knowledge map
INTEREST OF LEARNING LOCAL SCRIPT SASAMBO PGSD STUDENTS UNIVERSITY MATARAM

Local scripts are priceless assets of the nation's cultural wealth. The existence of local characters today is increasingly eroded by the presence of Latin writing. Based on preliminary surveys of PGSD students, it can be seen that only a few students can read and write local scripts. On this basis, it is necessary to conduct research related to the interests of PGSD students in learning local scripts, especially NTB local scripts. The method used in this research is mixed. Data collection through surveys and interviews. Data analysis uses descriptive statistics. The subject of research is PGSD University of Mataram students. The results showed that PGSD students' interest in learning about local scripts was very low. Indicators that show low student interest in learning include not all students ever learning local scripts, the number of students interested in learning local scripts again is small, the number of students willing to search for literature is small, the number of students who like local scripts is small and the use of local scripts is also small. One reason for the lack of interest in learning is that local characters are difficult to learn and are no longer needed in practical life. Based on the results of the research above, various efforts need to be made to increase student interest in learning, one of them is through learning innovations to facilitate local learning and improve literacy
Framework approach in technology education

Introduction. The use of the frame approach in modern constructions of the educational process allows you to optimize energy consumption in the system of communication and learning, achieving an acceptable learning intensity. The logic of presentation of educational material when using the frame approach most fully corresponds to and optimizes the algorithms of the primary stages of filling in knowledge bases. Materials and methods. The experimental study was conducted at the Department of technology, fine arts and design of the Institute of pedagogy and psychology of Petrozavodsk state University. The following research methods were used: observation, systematization, analysis and synthesis, generalization and comparison. Scientific publications in periodicals and methodological materials on the use of the frame approach developed at universities were used as informative sources. Results. The article considers some features and problems of presenting educational information in the form of: frame-frames (reference notes), frame-schemes and frame-algorithms used, for example, in the process of studying technological operations: drilling, turning, filing, when performing course design tasks, organizing thematic conferences, etc.the use of the frame approach in professional training in higher education in pedagogical and engineering areas and specialties becomes Especially relevant. Discussion and Conclusions. Based on the results of the study, methodological recommendations for using the frame approach in the system of technological education are presented. Frame organization of all aspects of the learning process largely solves the problem of intensification of the learning process, including attracting the potential of fractal theory and practice of building innovative learning technologies.
Flexible scene text recognition based on dual attention mechanism

Summary Scene text recognition (STR) is a very popular topic in the field of computer vision, which can extract text from complex natural scenes. In this article, we propose an end‐to‐end trainable and flexible STR method based on a dual attention mechanism. The proposed method consists of four modules: a thin plate spline transformer for normalizing the original image, a Channel‐Att feature extractor for obtaining representative features, a bidirectional long short‐term memory encoder for encoding sequential context features, and a Self‐Att based decoder for predicting text labels. The results on seven different benchmark datasets IIIT, SVT, IC03, IC13, IC15, SVTP, and CUTE, show that the proposed method is comparable to 13 existing methods. Especially, the average text recognition accuracy of the proposed method is about 1.4% higher than the state‐of‐the‐art method.
Los objetos de aprendizaje como instrumentos de mediación pedagógica

Educational contexts are constantly changing, so the proliferation of modalities and educational models based on digital technologies is evident, issues that impact not only the way in which students relate to knowledge, but also teachers, the community and the institution educational This technological advance has generated a considerable increase in digital collections and open educational resources, especially since these allow to expand the coverage in the distribution and obtaining of information, as in the case of Learning Objects that are used as instruments for pedagogical mediation in different learning modalities. The problematics of these resources has centred on the design and publication opened on the part of teachers, beyond the technical tools, the problems centre on didactic – pedagogic elements. The aim of this paper is to show the experiences of development and implementation.
Prediksi Minat Konsumen Terhadap Produk Perusahaan Direcet Selling Tianshi Menggunakan Artificial Neural Network (ANN)

Tiansi is a company that markets health products. This company has difficulty predicting people's interest in products that are in high demand. By knowing precisely the consumer interest in the product, it will increase sales. The research aims to predict consumer interest in Tiansi products appropriately. The method used is one of the Artificial Neural Network (ANN) techniques, namely Backpropagation with Momentum. The sales data tested were sourced from Stockist 319 Padang. The results of this research that can precisely determine consumer interest are architecture 5-2-1 and 5-3-1. So that this research is very helpful in the procurement of goods to increase the value of sales.
Deduplicating future data transfer using data exchanged in the past to decrease mobile bandwidth usage

In client-server architectures, there are cases where there is a need to transfer large amounts of data from the server to the client (or less frequently, in the opposite direction). Mobile application markets are a notable example where the clients need to download large chunks of data in the order of megabytes at a time, compared to a typical RPC request which is in the order of kilobytes.
Multi-Label Classification Of Remote Sensing Imagery With Deep Neural Networks

Multi-label classification problem aims to assign multiple class labels to the remote sensing image under analysis, which is more challenging compared to single-label classification. To this end, we propose a neural model based on multiple loss functions. The first loss seeks to increase the similarity between the image with its corresponding labels using a similarity layer. The second one is related to label discrimination, and it is achieved using a modified softmax layer suitable for multi-label classification. The third loss aims to detect automatically the number of labels present in the image through a regression layer. Experimental results on the well known Merced data are reported and discussed.
Agile and Overworked?

The role of work overload in work performance has received much study. In this research-in-progress paper, we shed light on how agile information systems development (ISD) practices can influence this relationship. Using the stressor-detachment model as a theoretical base, we present our research model and propose that agile ISD practices reduce work overload and, in turn, foster ISD project success. We furthermore suggest that psychological detachment moderates this relationship. The agenda for data collection and analysis is described.
DESIGN OF TEACHING MODULE MATERIAL OF ENGLISH LEARNING FOR WAITRESS IN SOCIAL INSTITUTIONS at SOS CHILDREN’S VILLAGE BALI

The aim of this study to create a product of teaching module material on English learning for waitress in social institution at SOS Children’s Village Bali. The subjects involved in the study are adolescent aged between 15 to 18 years. The data was collected by interview, questionnaire, and documentation. The method used for data analysis is qualitative with descriptive technique. The study approach of this study used research and development (R&D). Meanwhile, the model of this study used ADDIE model. There are five stages of ADDIE model, namely analysis, design, development, implementation, and evaluation. The result of this study indicates that teaching module material on English learning for waitress obtains the category of very reasonable with a total score of 95%
The Case for Blazor

During the Web 2.0 revolution, we had our first opportunity to port desktop applications to the Web. Thanks to the Ajax technology, which allowed us to do asynchronous calls to the server for the first time, we no longer had to suffer through a page reload every time the user updated the interface. We could finally get to the core of and resolve the main problems of desktop application development.
Mr. Shakespeare, Meet Mr. Tucker, Part II

This work was supported by the Laboratory for Physical Sciences. An earlier version of this talk was presented as a poster at the High Performance Computing and Data Analytics Workshop, September 10-11, 2019.
An Introduction to the 5 Functions of NIST | I.S. Partners, LLC

The NIST Cybersecurity Framework gives organizations a five-point structure to improve their cybersecurity posturing. While this is not regulatory, it is ...
EFFECTIVENESS OF PROJECT BASED LEARNING APPLICATION IN INCREASING ENGLISH DESCRIPTIVE TEXT WRITING SKILLS OF STUDENTS GRADE VII OF SMPN 6 DENPASAR IN THE ACADEMIC YEAR OF 2019/2020

Writing is the most complex language skill because it involves various aspects of language; those are spelling, vocabulary, grammar, discourse coherence, etc. Therefore, a learning method that can help students develop ideas independently is needed, which is a project based learning method. This study aims to describe the effectiveness of the application of the project based learning model in improving the skills of writing descriptive English texts of grade VII students of SMPN 6 Denpasar in the academic year 2019/2020. The subjects of this study were 502 of grade VII students. The samples were 46 students in class 7-7 as experimental group and 46 students in class 7-8 as control group which were chosen by using purposive sampling method. This research was a study using a mixed research method. The data collection methods used were library study, tests, observations, and documentation method, while the data analysis methods used were quantitative and qualitative data analysis. Based on testing the effectiveness of the learning model through the N-Gain test, the value of the effectiveness of the learning model obtained was 77% which was categorized as the 'effective' criterion. From the results of this research, it can be concluded that the learning model of project based learning model is effective in enhancing the skills of writing descriptive English text of grade VII students of SMPN 6 Denpasar.
SASL Channel-Binding Type Capability

This specification allows servers to annouce their supported SASL channel-binding types to clients.
Rényi Generative Adversarial Networks

We investigate the use of parametrized families of information-theoretic measures to generalize the loss functions of generative adversarial networks (GANs) with the objective of improving performance. A new generator loss function, called least $k$th-order GAN (L$k$GAN), is first introduced, generalizing the least squares GANs (LSGANs) by using a $k$th order absolute error distortion measure with $k \geq 1$ (which recovers the LSGAN loss function when $k=2$). It is shown that minimizing this generalized loss function under an (unconstrained) optimal discriminator is equivalent to minimizing the $k$th-order Pearson-Vajda divergence. Another novel GAN generator loss function is next proposed in terms of Renyi cross-entropy functionals with order $\alpha >0$, $\alpha\neq 1$. It is demonstrated that this Renyi-centric generalized loss function, which provably reduces to the original GAN loss function as $\alpha\to1$, preserves the equilibrium point satisfied by the original GAN based on the Jensen-Renyi divergence, a natural extension of the Jensen-Shannon divergence. Experimental results indicate that the proposed loss functions, applied to the MNIST and CelebA datasets, under both DCGAN and StyleGAN architectures, confer performance benefits by virtue of the extra degrees of freedom provided by the parameters $k$ and $\alpha$, respectively. More specifically, experiments show improvements with regard to the quality of the generated images as measured by the Frechet Inception Distance (FID) score and training stability. While it was applied to GANs in this study, the proposed approach is generic and can be used in other applications of information theory to deep learning, e.g., the issues of fairness or privacy in artificial intelligence.