Reviewerly/exHarmony huggingface dataset:
MorphText: Deep Morphology Regularized Accurate Arbitrary-Shape Scene Text Detection

Bottom-up text detection methods play an important role in arbitrary-shape scene text detection but there are two restrictions preventing them from achieving their great potential, i.e., 1) the accumulation of false text segment detections, which affects subsequent processing, and 2) the difficulty of building reliable connections between text segments. Targeting these two problems, we propose a novel approach, named ``MorphText", to capture the regularity of texts by embedding deep morphology for arbitrary-shape text detection. Towards this end, two deep morphological modules are designed to regularize text segments and determine the linkage between them. First, a Deep Morphological Opening (DMOP) module is constructed to remove false text segment detections generated in the feature extraction process. Then, a Deep Morphological Closing (DMCL) module is proposed to allow text instances of various shapes to stretch their morphology along their most significant orientation while deriving their connections.Extensive experiments conducted on four challenging benchmark datasets (CTW1500, Total-Text, MSRA-TD500 and ICDAR2017) demonstrate that our proposed MorphText outperforms both top-down and bottom-up state-of-the-art arbitrary-shape scene text detection approaches.
Developing cross-cutting digital competencies of students in the additional professional education ecosystem of the university

One of the urgent tasks within the framework of the implementation of the Federal Project «Workforce for the Digital Economy», which is part of the national digital economy transition programme, is the development of professional competencies of workers in various sectors in the field of cross-cutting digital technologies. Today&amp;apos;s competencies are developed taking into account the requirements of society, the state and the labour market for a person in a digital society. In training personnel for the modern labour market, the emphasis is placed on the development of cross-cutting digital competences. The components of cross-cutting digital competences and formation conditions should meet the requirements of digital economy, society, state and labour market for human competences as a person and professional not only for specialists and students of higher education for IT sphere, but also for specialists and students of higher education institutions in non-core IT areas of training and employment. The article presents the results of the research on development of cross-cutting digital competences of students of non-profile IT-specialties in higher education while mastering additional professional programmes in the ecosystem of additional professional education in a university. The author defines a new concept in professional pedagogy – «cross-cutting digital competencies», presents and characterizes its components - basic, personal and practice-oriented. In order to develop these interdisciplinary digital competences, a pedagogical model is elaborated and implemented, including a goal, objectives, pedagogical principles, factors, stages, organizational and pedagogical conditions, results, criteria and evaluation system. The publication states the results of pedagogic model implementation in the system of additional professional education and proves its effectiveness.
Composite Evolutionary Strategy and Differential Evolution Method for the ICSI’2022 Competition

In this paper, a composite method for bound constrained optimization called Composite Evolutionary Strategy and Differential Evolution (CESDE) is described. This method combines two well-performing methods from the Congress on Evolutionary Computation Competitions. Through numerical investigation on the ICSI'2022 benchmark set, the favourite scheme for combining the two methods was determined, and it was found that CESDE outperforms both of its "parental" methods on all studied instances.
CULTURE OF OPEN KNOWLEDGE IN EARLY MODERN ENGLAND: POP-SCIENCE AND LAUGHING GAS

The article is devoted to the culture of open knowledge and the phenomenon of the popular science, which arises and develops in Modern period. Based on the caricature of J. Gilray, depicting the public lecture in 1802 at the Royal Tnstitution on the characteristics of laughing gas, the stategies and modes of openness of knowledge, as well as the reaction of the public to the scientific show, are analyzed. The etching depicts an audience that is diverse in social origin, professions, and gender identity. Popular science, despite its shortcomings, instills confidence in scientific knowledge, the desire not only to use the results of scientific research, but also to engage in them. The representation of the research environment, scientists, scientific knowledge and practices in the field of artistic culture is also a marker of the openness and accessibility of scientific knowledge, the degree of trust in scientific institutions and scientists, which is an important component of the culture of knowledge.
The Xiaomi Text-to-Text Simultaneous Speech Translation System for IWSLT 2022

This system paper describes the Xiaomi Translation System for the IWSLT 2022 Simultaneous Speech Translation (noted as SST) shared task.We participate in the Englishto-Mandarin Chinese Text-to-Text (noted as T2T) track.Our system is built based on the Transformer model with novel techniques borrowed from our recent research work.For the data filtering, language-model-based and rule-based methods are conducted to filter the data to obtain high-quality bilingual parallel corpora.We also strengthen our system with some dominating techniques related to data augmentation, such as knowledge distillation, tagged back-translation, and iterative backtranslation.We also incorporate novel training techniques such as R-drop, deep model, and large batch training which have been shown to be beneficial to the naive Transformer model.In the SST scenario, several variations of wait-k strategies are explored.Furthermore, in terms of robustness, both data-based and model-based ways are used to reduce the sensitivity of our system to Automatic Speech Recognition (ASR) outputs.We finally design some inference algorithms and use the adaptive-ensemble method based on multiple model variants to further improve the performance of the system.Compared with strong baselines, fusing all techniques can improve our system by 2~3 BLEU scores under different latency regimes.
Computer Basic Course Classroom Based on Edge Computing

With the development of science and technology and the progress of computer technology, computer technology is widely used in the field of fine arts, which promotes the progress of art and produces new art forms. The application of computer technology in oil painting not only changes the traditional way of oil painting creation, but also has a profound impact on the creative thinking and creative concept of the young generation.
Feedback context-aware pervasive systems in healthcare management: a Boolean Network approach

The growing complexity of modern software systems stimulated the use of component-based approaches and the enforcement of the separation of concerns. In context-aware computing the separation is made between the functions the system is built for, that can change in time, owing to different conditions, and the context in which the system must operate, which sets the current environmental situation.
Attitudes Towards the Use of COVID-19 Apps and Its Associated Factors

Since early 2020, the COVID-19 pandemic has been significantly changing people’s daily lives as social activities are limited to slow down the spread of the novel coronavirus. New technologies, especially mobiles apps, have been widely applied to help with reducing the spread of the pandemic. However, although these apps bring many benefits, it also raises privacy issues given the amount of user information being collected and shared. The goal of this study is to understand individuals’ attitudes towards the privacy concerns on using COVID-19 apps, and their expectations on the privacy protections. By conducting the survey and collecting responses, results found that majority of the participants expressed privacy concerns on COVID-19 apps, and participants with different socioeconomic status may have different levels of willingness to use the app. Results from this study not only provide guidance for the government and app service providers on the implementation of appropriate safeguards, but also address on the needs of privacy protections for the vulnerable groups.
The Coping Mechanisms of First-Year Students in the Online Classes

The study aimed to determine the coping mechanisms of first-year college students taking Bachelor of Special Needs Education in a state university in the online class setting. It utilized Colaizzi’s (1978) descriptive phenomenological method which followed his seven-step method. Three emergent themes were revealed (1) coping mechanisms, (2) adjustment of 1st-year students to online classes, (3) perception of the effects of coping mechanisms. Most participants applied three coping mechanisms, and these were (1) meditation and (2) spirituality which are considered adaptive coping mechanisms, and (3) late-night internet usage, a maladaptive coping mechanism. The participants expressed their vulnerability as a 1st-year student in terms of unfamiliarity due to the absence of face-to-face interaction, being unaccustomed to the new college environment, pressure due to unfamiliar teacher-student dynamic, and pressure in studying at a state university.
Experimental Research on Anthropomorphic Design in Interactive Sleep Persuasion Interface

Sleep deprivation is a public health problem, and the increase in interactive entertainment products and the stress of daytime life and work have led to sleep disorders in young people. In this study, a 2 anthropomorphic (anthropomorphic vs. non-anthropomorphic) × 2 information framing (positive vs. negative) intergroup experiment was conducted to investigate effective combinations of interactive persuasive interface design, aiming at how to design visual information for health persuasion during entertainment interactions for young users. The results showed that anthropomorphism and information framing both had positive effects on the behavioral intention for healthy sleep. When anthropomorphism was combined with negative framing descriptions, they were more effective in persuading young users to sleep healthily.
Tasks and Resources Allocation Approach with Priority Constraints in Cloud Computing

Cloud computing is the most developing technology, which allow users to access data, software and IT services. Cloud systems are characterized by the uncertainty of the resources availability. For that reason, its performance is greatly affected by the applied scheduling and allocation algorithm used to map submitted tasks to resources. This paper introduces a heuristic approach that combine Ant Colony and priority-aware schema to achieve task scheduling and resource allocation in cloud computing environments. The algorithm provides three prioritized levels of quality of services to be employed by users per their demand. A level’s priorities dynamically affect the way tasks are distributed in the system. The resources are allocated using a modified version of Ant Colony Optimization. Results show that the proposed algorithm improves the performance of the system by minimizing makespan, decreasing the degree of imbalance between virtual machines, and enhancing the Cloud’s quality of service by achieving user-priority goals.
A Copy-Augmented Generative Model for Open-Domain Question Answering

Open-domain question answering is a challenging task with a wide variety of practical applications.Existing modern approaches mostly follow a standard two-stage paradigm: retriever then reader.In this article, we focus on improving the effectiveness of the reader module and propose a novel copy-augmented generative approach that integrates the merits of both extractive and generative readers.In particular, our model is built upon the powerful generative model FiD (Izacard and Grave, 2021b).We enhance the original generative reader by incorporating a pointer network to encourage the model to directly copy words from the retrieved passages.We conduct experiments on the two benchmark datasets, NaturalQuestions and TriviaQA, and the empirical results demonstrate the performance gains of our proposed approach.
TWESPA: A MODERN APPROACH TO TWITTER SENTIMENT ANALYSIS

Sentiment analysis has become a stimulating field for both research and industrial domains. The expression sentiment refers to the emotions or thought of the person across some certain issues. Furthermore, it's also considered an immediate application for opinion mining. the large amount of tweets jotted down daily makes Twitter an upscale source of textual data and one among the foremost essential data volumes; therefore, this data has different aims, like business, industrial or social aims consistent with the info requirement and needed processing. Actually, the quantity of knowledge, which is very large, grows rapidly per second and this is often called big data which needs special processing techniques and high computational power so as to perform the specified mining tasks. During this work, we perform a sentiment analysis with the assistance of PySpark framework, an interface for Apache Spark in Python which is taken into account an open source distributed processing platform which utilizes distributed memory abstraction. The goal of using PySpark is that we can run applications parallelly on the distributed cluster (multiple nodes). The effectiveness of our proposed approach is proved against other approaches achieving better classification results when using Naïve Bayes, Logistic Regression and Decision trees classification algorithms. Finally, our solution estimates the performance of Apache Spark concerning its scalability.
Reusing a Multi-lingual Setup to Bootstrap a Grammar Checker for a Very Low Resource Language without Data

Grammar checkers (GEC) are needed for digital language survival.Very low resource languages like Lule Sámi with less than 3,000 speakers need to hurry to build these tools, but do not have the big corpus data that are required for the construction of machine learning tools.We present a rule-based tool and a workflow where the work done for a related language can speed up the process.We use an existing grammar to infer rules for the new language, and we do not need a large gold corpus of annotated grammar errors, but a smaller corpus of regression tests is built while developing the tool.We present a test case for Lule Sámi reusing resources from North Sámi, show how we achieve a categorisation of the most frequent errors, and present a preliminary evaluation of the system.We hope this serves as an inspiration for small languages that need advanced tools in a limited amount of time, but do not have big data.
An Automated System for Facial Mask Detection and Face Recognition During COVID-19 Pandemic

The coronavirus (COVID-19) pandemicDr. Swati Shinde Pragati Janjal Gauri Pawar Rutuja Rashinkar Swapnil Rokade is an ongoing pandemic of coronavirus disease-2019. It is still spreading continuously across the globe, causing huge economic and social disruption. There are many measures that are suggested by the World Health Organization (WHO) to reduce the spread of this disease. In this paper, we are proposing a system in which people wear masks or not in public and recognize faces who do not wear masks. We detect the people who are monitored by using Webcam and those who are not wearing masks, and the corresponding authority is informed about the same by using convolutional neural network (CNN) with a mobile net and Haar cascade algorithm. The proposed model will help to reduce the spread of the virus and check the safety of surrounding people.
Collective of Base Classifiers for Mining Imbalanced Data

Mining imbalanced datasets is a challenging and difficult problem. In this paper we adress it by proposing GEP-NB classifier based on the oversampling technique. It combines two learning methods - Gene Expression Programming and Naïve Bayes, which cooperate to produce a final prediction. At the pre-processing stage a simple mechanism for generating synthetic minority class examples and balancing the training set is used. Next, two genes g1 and g2 are evolved using Gene Expression Programming. They differ by applying in each case a different procedure for selecting synthetic minority class examples. If the class prediction by g1 agrees with the class prediction made by g2, their decision is final. Otherwise the final predictive decision is taken by the Naïve Bayes classifier. The approach is validated in an extensive computational experiment. Results produced by GEP-NB are compared with performance of several state-of-the-art classifiers. Comparisons show that GEP-NB offers a competitive performance.
Aesthetic education of students of secondary education institutions in extracurricular activities in Henderson Guberniya (second half of XIX – early XXI)

The article reveals the basics of aesthetic education of students and the experience of organizing the teaching of aesthetic cycle subjects at secondary schools of Kherson guberniya in the second half of the XIX -early XX century.The publication states that for in-depth study of the subjects of the aesthetic cycle, it was proposed to involve students in amateur art, which included extracurricular and out-of-school activities in various arts: music, singing, choreography, fine arts, theater.Attention is paid to the development of out-of-school institutions, the activities of which were aimed at the development of culture.The main subjects of teaching at such institutions were music, drawing, dance, theater.Determining the dynamics of the development of extracurricular subjects of the artistic and aesthetic cycle during the second half of the XIX -early XX century, the authors note that they were an integral part of full secondary education.Despite the disproportion and difference between women's and men's education, they were a separate indicator of quality education, which had an aesthetic focus.The authors come to the conclusion that the system of aesthetic education, formed in the period under study, provided for certain organization of the educational process: it was possible for a student to get directly in touch with beauty; to be enriched with new aesthetic impressions and knowledge; sensitivity to beauty in life, nature, art was brought up.Implementation of these tasks was carried out in the process of studying the basics of science, in extracurricular and outof-school activities, in the family, through self-education.
DE-ABUSE@TamilNLP-ACL 2022: Transliteration as Data Augmentation for Abuse Detection in Tamil

With the rise of social media and internet, there is a necessity to provide an inclusive space and prevent the abusive topics against any gender, race or community.This paper describes the system submitted to the ACL-2022 shared task on fine-grained abuse detection in Tamil.In our approach we transliterated code-mixed dataset as an augmentation technique to increase the size of the data.Using this method we were able to rank 3rd on the task with a 0.290 macro average F1 score and a 0.590 weighted F1 score.
An Appraisal Analysis of English Youth Songs and Its Potential Implication on Teaching English to Teenagers

This study aims to explore the Appraisal in selected English youth songs in Pamungkas' albums as well as its potential implication on teaching English to teenagers.Rooted in constructive interpretative epistemology, this qualitative study focuses on the sub type of Attitude of appraisal analysis.The data of this study embrace the linguistic units containing the elements of Affect, Judgement and Appreciation.Collected using documentation technique, the data are analyzed referring to Martin and White's appraisal theory (2015).While the three sub types are deployed in the song lyrics, the study shows that the negativity Attitude is more prevalent.This, to some extent, indicates the unstable condition of youth in searching for identity in which they perceive the life and people around them vigilantly.In addition, Appreciation becomes the most dominating appraisal subsystem in the analysis, and this shows the inclusion of personal experience in the songs which leads to the rich assessments of life with aesthetic values.Hence, the Negativity and dominant Appreciation are what might make teenagers today feel related to Pamungkas' songs.Departing from this, presumably educators can take advantage of the youth English songs as English teaching material with the aim of exploring more mental-related expressions in learning English.
Towards Improvement of UX Using Gamification for Public Artistic and Historical Artifacts in AR

Recently, Augmented Reality (AR) applications have emerged as a powerful tool to empower users in touristic use cases, for example, by recreating digital representations of lost or difficult accessible artifacts. More emphasis has been put on researching possible solutions for tourism with AR technology. As part of such a research project, an AR touristic experience was designed to enhance historical artifacts, promote surroundings exploration, and study how to improve the User Experience (UX). This resulted in developing an engaging and interactive cross-platform AR mobile application. The final application includes multiple gamified reward systems, such as collecting points for each artistic/historical spot visited. Users’ available time while visiting or exploring was also considered in the design of the experience, so the option to choose between complete and short routes was offered. Following the intended route was supported by instructing the users to collect a sequence of AR coins placed based on GPS functionalities. Despite some limitations, especially given by the GPS feature used to support route navigation, the analysis showed that the developed AR application was evaluated as very good in terms of usability score. This technical limitation was more evident in users that played the experience with old-generation smartphones. The assessment of the developed application has concluded that the attention paid to features, content, and duration of the activity has a positive impact, succeeding both in terms of product results and users’ satisfaction.
Acoso escolar: Una práctica en secundaria con adolescentes

Adolescence is, sometimes, a stage of life full of gaps, excesses and abuses.Life is discovered with a vision of childhood, but thinking about how it should be as an adult.In this context, bullying is not unrelated to certain behaviours or attitudes within the dynamics of life at high school.For this reason, two secondary school students promote this experience as a practical way of bearing witness to what we still have to improve; but, above all, with a proposal led by them and for the students.A way of learning by doing and giving to think and feel.