Reviewerly/exHarmony huggingface dataset:
MO708INCREASE IN PERITONEAL DIALYSIS-RELATED HOSPITALIZATION RATES DURING COVID-19 PANDEMIC

Abstract Background and Aims In March 2020 to reduce the coronavirus spread in Brazil professional regulatory agencies allowed the telemedicine for distance patients’ monitoring. All peritoneal dialysis (PD) patients from our center previously followed monthly in face-to-face visits were monitored by telephone call appointments since then. In this study, we aimed to investigate and compare the hospitalization rates before and during the telehealth assistance. Method Patients aged 18 years and older in March 2020 were included. We analysed total hospitalization rate and PD-related hospitalization rate (infectious, mechanical dysfunction and hypervolemia) 6-month before (first phase) and 6-month after (second phase) telehealth implementation. Results A total of 117 patients were included (male: 45%; age: 56.9 ± 16.2 years old; PD vintage: 15 (7–26) months; automated PD: 97%; diabetes: 45%). There were 15 hospital admissions in 13 patients (2 patients were admitted twice) during the first phase, resulting in an incident rate (IR)=23 per 1000 patients-month. In the second phase, the numbers increased to 34 admissions (3 due to covid-19) in 30 patients (1 patient admitted twice and another four times), IR=56 per 1000 patients-month. The total hospitalization incident rate ratio (IRR) was 2.43 (CI 95% 1.32 – 4.48). The total PD-related hospitalization increased from 4 (3 hypervolemia, 1 mechanical) to 20 (12 infectious, 3 mechanical; 5 hypervolemia) episodes during telehealth assistance, representing 26% to 59% of total hospitalizations. IRR for PD-related hospitalization was 5.5 (CI 95% 1.8 – 16.4). Conclusion After telehealth implementation, the risk of hospitalization raised significantly, mainly due to PD-relates causes that increased 5.5 times. Potential causes of this finding are lack of proper training for distance monitoring to patients and health care workers, life habits and routine of care modifications and social isolation. More studies are needed to assess the independent impact of telehealth on PD patients outcomes.
Whither drifted “The Sailors of Marseilles” in 1917?

The article analyzes the history of lesser-known literary union “The Sailors of Marseilles” that existed in Petrograd in 1917. Mikhail Kuzmin was the central figure and the most popular writer in this union. Other “sailors” were young poets who wanted to reach out the audience and to get the opportunity for publication. Until now, this union has not been studied in the context of Kuzmin’s oeuvre, literary reputation and author’s strategies. Some conclusions have been made in the process of our research. First of all, Kuzmin’s attitude to literary unions has been specified. As we can see, he considered literary groups as a commonwealth of independent authors exploiting shared writing technics. On the other hand, he did not approve ideological unification within such unions. Denying hierarchy in literary groups, Kuzmin strove to create a literary union on an equal footing. He emphasized the individuality of each “sailor” to create to make it real, but in fact, this union was just adopting Kuzmin’s techniques, i.e., it followed the authoritative model. It should be mentioned, that the organization of the group was also the Kuzmin’s endeavour to assert his literary reputation that was in decline during 1917. Moreover, the whole concept of “The Sailors of Marseilles” was carried in accordance with the nautical symbolics developed by Kuzmin in 1917. The sea was the sign of power and war, and the sailors were the image of fraternity capable to contradict this power. “The Sailors of Marseilles” in the final count can be considered as creative-life Kuzmin’s project.
Perspektif Siswa tentang Proses Pengajaran dan Pembelajaran Bahasa Inggris di MI Azzainiyah II

Learning English does not only apply to junior high school or high school but can be started from elementary school. Early childhood students must learn English early to prepare them for the era of globalization. There are four problem formulations studied, namely about 1) the qualifications of English teachers, 2) students' attitudes towards English, 3) the techniques used, and 4) the media. This study used a qualitative descriptive design. The research subjects consisted of a teacher and 26 fifth-grade students (V) of MI Azzainiyah II Paiton Probolinggo. There are three data collection instruments, namely observation, interviews, and questionnaires. Observations are made when teaching and learning activities are in progress. After that, interviews with teachers were conducted to obtain information related to problem formulations. The questionnaire was given to students to find out students' attitudes towards English. The results showed that 1) the qualifications of the English teachers had good qualifications, 2) the students' attitudes towards English were very positive, 3) the techniques used were varied, including Listen-Do, Listen-Repeat, and Question and Answer, and 4) media that used in the form of pictures from various sources as well as blackboards.
Finely-Grained Real-Time Facial Emotion Recognition Towards Neural Network

Over the past assorted decades, one of the most agile spheres of research is the emotion recognition.The grounds of this study is to come forward with finely grained real-time learning model of emotion recognition comprising of phases like feature extraction, subset feature and emotion classifier.Haar Cascade technique is being used for identifying the input figure to identify the characteristic values.This work also aims to classify human emotions like fear, neutral, angry, surprise, happy and sad by using two classifiers; Long Short Term Memory (LSTM) and Convolutional Neural Network (CNN) by deploying a finely grained real time emotion recognition algorithm using virtual markers.Initially, Haar Cascade was used for eyes and face discernment, then Neighborhood Difference Features (NDF) were extracted and virtual markers are being positioned on designated places on identified face using VGG16 approach.The facets are validated using cross-validation and forwarded to CNN and LSTM classifiers.Experimental results of loss function, confusion matrix, classification report of training and testing had proved that the model proposed give consistent output with the real time facial expressions.
A survey of part-of-speech tagging approaches applied to K’iche’

We study the performance of several popular neural part-of-speech taggers from the Universal Dependencies ecosystem on Mayan languages using a small corpus of 1435 annotated K'iche' sentences consisting of approximately 10,000 tokens, with encouraging results: F 1 scores 93%+ on lemmatisation, partof-speech and morphological feature assignment.The high performance motivates a crosslanguage part-of-speech tagging study, where K'iche'-trained models are evaluated on two other Mayan languages, Kaqchikel and Uspanteko: performance on Kaqchikel is good, 63-85%, and on Uspanteko modest, 60-71%.Supporting experiments lead us to conclude the relative diversity of morphological features as a plausible explanation for the limiting factors in cross-language tagging performance, providing some direction for future sentence annotation and collection work to support these and other Mayan languages.
Flash Flip Book Applications To Measure The Level Of Nationalism On Primary School Student

Diabetic retinopathy (DR) is a disease that can lead to blindness. It occurs as a result of microvascular damage in retina and also influenced by diabetes mellitus. ItA�Â�s like a nightmare because it can even affect the quality of life in social, emotional, and psychological. Blindness process in DR through several stages, start from the early stage to the advanced stage. Therefore the early detection is very important to know the appropriate prevention and treatment. At this research the stage level is divided into Normal, Early NPDR, Advanced NPDR and PDR. The stage classification based on the information of retina data taken from Cipto Mangunkusumo Hospital (RSCM) in Jakarta. There are two mechanism in this experiment, the first uses texture feature of Grey Level Co-occurrence Matrix (GLCM), and the second uses the unique DR features such as microaneurysm, exudates, and blood vessels. The training and testing data is divided using 10-fold Cross Validation. Then the data is processed using morphological techniques and classified using the Extreme Learning Machine (ELM) which known 1000 times faster than the Single Layer Perceptron and it is also suitable for medical image learning. This research resulted the basic information that can be used as a reference of DR stage level category with the accuracy 53.53% for the first mechanism and 52.26% for the second mechanism.
Analysis of dance performance issues arising from the spread of Corona19

This study conducted big data analysis to analyze the issues of the dance performance of Corona19. The keywords of big data were presented in three areas: ‘Corona19 and dance performance’, ‘Corona19 and online performance’, and ‘Corona19 and dance performance problem’ centering on Corona19 and dance performance. In addition, the data extraction period for the three areas was one year from January 1, 2020 to January 31, 2021, and the scope of data collection was using three sites: Google, Daum, and Naver. Knowledge, news, cafes, and web documents provided by the portal site were used. The data collected through TEXTOM were visualized using the Ucinet6 program, and clusters were formed through CONCOR analysis. The results revealed through big data are as follows. First, as a result of keyword analysis on Corona19 and dance performances, it was divided into 1 major recognition and 4 peripheral recognitions.Second, as a result of keyword analysis on Corona19 and online performances, 1 major recognition and 4 surroundings, and third, Corona19 and dance As a result of keyword analysis on performance problems, it was divided into 1 main perception and 3 peripheral perceptions.
A STUDY ON FEATURE SUBSET SELECTION USING IMAGE

The paper mainly aims at retrieve the images based on normal attributes in image retrieval system. An image retrieval system is a computer system for browsing, searching and retrieving images from a large databases of digital images. The image retrieval often needs to optimize the trade of between efficiency and precision. This is analysed using created various vectors with the attributes and plotted seaborn graph and scatter plot.
Vulnerability Assesment in Web based Applications

This Project depicts an in-depth technical approach to perform manual Vulnerability Assessment and infiltration test in web applications for testing the integrity and security of the application and furthermore serves as a manual for test in SANS Top 25 security vulnerabilities. The project is more centered around giving definite information about manual web application penetration testing techniques to get them from malignant black hat hackers. A victim's website can be used for criminal activities, while illegally using the website's bandwidth and making its owner liable for these unlawful acts. While developing the websites, many times developers/site owners forget to remove sensitive data from the website which is not supposed to be exposed to public users. Such data consists of untested vulnerable forms, database backup, and site backup in compressed format. A hacker tries to search for such kind of data and tries to collect important information from it like login detail from that data. So, we will be analyzing all the ways to find such vulnerabilities and also developing the patch to avoid such attacks and prevent them from occurring.
LEARNERS’ RESEARCH COMPETENCE AS THE COMPONENT OF UPDATED CONTENT OF PRIMARY EDUCATION

The article discusses the research competence of learners as the component of modern updated content of primary education. In order to reveal the key concept of «research competence», the authors turned to the problems of research and cognition as such, and formulated the concept of learners’ «research competence» as the component of modern updated content of primary education. There is scientific discussion on the concepts of «competence» and «competency». The ways and means of forming the research competence of primary school learners are analysed. The structure of the research competence of primary school learners is made.
Pengaruh Motivasi Belajar, Computer Attitude Dan Fasilitas Laboraturium terhadap Prestasi Belajar Komputer Akuntansi

MYOB accounting computer is one of the subjects in vocational schools that learns about computerized accounting bookkeeping. Judging from the Mid-Semester Examination, there are still many students whose grades are below the Minimum Completion Criteria (KKM). In this study, it was examined whether learning motivation, computer attitude, and laboratory facilities affect learning achievement. The research sample was 66 students of class XI Accounting at SMK Negeri 1 Sawahlunto based on total sampling. Data collection techniques using questionnaires and documentation. The data analysis method used is multiple linear regression. The results showed that learning motivation, computer attitude, and laboratory facilities simultaneously influenced accounting computer learning achievement. While partial testing results show that learning motivation has a significant effect on accounting computer learning achievement with a significant value of 0,000. Computer attitude partially does not significantly influence accounting computer learning achievement with a significant value of 0.155. And laboratory facilities partially did not significantly influence accounting computer learning achievement with a significant value of 0.595
The Occurrences of Hedges and Boosters in ELT Learners' Academic Written Discourses

As parts of interactional metadiscourse devices, hedges concern with the communicative strategies used for lessening the claims of certain utterances, contrastively, boosters are used to strengthen claims of certain utterances. Despite considerable studies on hedges and boosters had been undertaken, there has been limited studies focusing on the occurrences of both hedges and boosters in written discourse. Adapting the taxonomy of hedges proposed by Hyland (1998) and Varttala (2001) as well as the taxonomy of boosters proposed by Hinkel (2005), a descriptive study evolving a corpus-based approach was conducted in attempt to explore the use of hedges and boosters employed in ELT learners‘ thesis discussion section. Then, a further to analysis of the impact of hedges and boosters towards the quality of arguments in the thesis was also done by using Toulmin‘s (2003) scheme of argumentation. The result showed that, firstly, hedging devices were dominantly found within the category of modal verbs consisting the total of 305 tokens, while in terms of boosters, the most frequently appeared tokens occured within the category of emphatics, amounting the total of 126 tokens. Then, regarding the impact of hedges and boosters towards the quality of arguments in the ELT learners‘ thesis, boosters play important roles such as strengthening the claim in the thesis statement and validating the data, while the use of hedges are crucial to open more room interpretation for readers by the use of presenting conclusions and contradictory views toward certain preceeding claims. It is concluded that Indonesian ELT learners students prefer tentative expression rather than performing confidence.
An Analysis Of The Relationship Between Recent Electronic Data Breaches And Enacted Data Security And Privacy Legislation In The United States

The widescale adoption of electronic records in businesses and organizations has been a boon to entities throughout the world by simplifying the process of collecting, retrieving, and analyzing data. As some of the most prevalent industries in the United States, the industries of healthcare, finance, government, and education in particular make frequent use of electronic data system to increase operational efficiency. The impacts of this digitalization of organizations are not all beneficial, however, as data breaches represent a major threat to information security. Incidents of cyberattacks targeting healthcare, financial, governmental, and educational data are well- documented, and it is clear that the danger remains. Indeed, state and federal agencies regularly enact laws and legislation seeking to combat the rise of data breaches. Research was conducted in order to compare the occurrences of data breaches with the enactment of state data security and privacy legislation. The methodology used to perform the research largely consisted of collecting press releases and news reports ranging from 2010 to 2019 that announced a data breach incident. All relevant records were then categorized by industry. Likewise, state bills from the same time period were consulted to analyze enacted legislation that pertain to electronic data privacy and security. The findings of this study indicate that the healthcare industry has been the largest target of data breaches of the past decade, followed by the financial, governmental, and educational industries, respectively. Interestingly, the number of cyberattack trends impacting healthcare and government is shown to have decreased over time while those affecting finance and education has no clear pattern. A comprehensive view of data breaches across the four industries, however, suggest an inverse relationship with the enactment of relevant legislation. Indeed, with some variation, as the number of passed legislation increased over the decade, the number of breaches decreased.
Penerapan media kartu huruf untuk meningkatkan kemampuan membaca siswa kelas I SD Negeri 1 Sumilir Purbalingga tahun pelajaran 2020/2021

The research aims to improve the reading skills of grade I students by implementing letter cards. The research subjects were Grade I students of SD Negeri I Sumilir with a total of 12 students. Classroom action research was conducted in 3 cycles. Each cycle consists of 1 lesson hour. The procedure for implementing each cycle includes planning, implementing actions, observing, and reflecting. Data collection was obtained from teacher activity observation sheets, student activity observation sheets, and students' understanding scores. For data on students' understanding scores obtained from the evaluation test. Based on the results of classroom action research, the results of observations of teacher activity in the first cycle obtained a score of 3.13 and the second cycle obtained a score of 3.25. The results of observations of student activity in the first cycle obtained a percentage of 70.8% and the second cycle obtained a percentage of 78.25%. The results of the students' understanding value in the first cycle obtained an average of 69.16 completeness 50% and the second cycle became 73.33 completeness 75%. Thus, the application of letter card media can improve the reading skills of grade I students of SD Negeri 1 Sumilir.
Representation of Yine [Arawak] Morphology by Finite State Transducer Formalism

We represent the complexity of Yine (Arawak) morphology with a finite state transducer (FST) based morphological analyzer.Yine is a low-resource indigenous polysynthetic Peruvian language spoken by approximately 3,000 people and is classified as 'definitely endangered' by UNESCO.We review Yine morphology focusing on morphophonology, possessive constructions and verbal predicates.Then we develop FSTs to model these components proposing techniques to solve challenging problems such as complex patterns of incorporating open and closed category arguments.This is a work in progress and we still have more to do in the development and verification of our analyzer.Our analyzer will serve both as a tool to better document the Yine language and as a component of natural language processing (NLP) applications such as spell checking and correction.
System and integrated approach to econometric training

In this article, the researcher explains the basic concepts of a systemic approach and comprehensive communication, which are one of the scientific approaches in pedagogy, and their use in the science of econometrics in accordance with the objectives and objectives of the study.
TopGuNN: Fast NLP Training Data Augmentation using Large Corpora

Acquiring training data for natural language processing systems can be expensive and timeconsuming.Given a few training examples crafted by experts, large corpora can be mined for thousands of semantically similar examples that provide useful variability to improve model generalization.We present TopGuNN, a fast contextualized k-NN retrieval system that can efficiently index and search over contextual embeddings generated from large corpora to easily retrieve new diverse training examples.TopGuNN is demonstrated for a semantic role labeling training data augmentation use case over the Gigaword corpus.Using approximate k-NN and an efficient architecture, TopGuNN performs queries over an embedding space of 4.63TB (approximately 1.5B embeddings) in less than a day.
A DESCRIPTION OF THE EXPERIENCES OF TUTORS AND TUTORED WHEN CHANGING FROM PRESENTIAL TO VIRTUAL EDUCATION IN TIMES OF PANDEMICS AT UAIM LOS MOCHIS UNIT

and internet connection, to address these problems and understand them, the paradigm has been used qualitative with the hermeneutical method, as a technique, the online interview has been used through the ZOOM platform with tutors and tutored, precisely because of the health emergency situation and the Atlas.ti tool has been used for data analysis, as a result It was obtained that from the tutors' perspective, three categories emerged: 1) personalized attention to the tutors is necessary,, 2) that the tutors are still in a process of adapting to the change from face-to-face to virtual education and 3) that there is a lack of computer equipment to attend their virtual education activities, now well from the tutored perspective, three emerging categories were generated: 1) teachers do not teach sessions by videoconference, 2) dropout is something that is already on the minds of some tutored and 3) that there is a lack of academic attention to students. has concluded with the evidence obtained that it is the lack of computer equipment of the teachers, in this case of the tutors, which affects the problems of the tutored, the internet is also a factor but less frequent and rooted.
SOLE (Self Organized Learning Environment) Method Applicability in Simultaneous Education

Contemporary education is characterized by the means of self-education. These are becoming more common every day: information technology and the Internet are helping students by giving them new opportunities to gain knowledge. The teacher gradually loses his role of teaching the subject, becoming a guide whose role is to guide students’ steps through the «tunnel of knowledge». He will be in charge of organizing the students’ work and supervising them. This paper illustrates how self-organized learning activities, performed in a form accessible to children, can stimulate the development of creative and critical thinking, imagination and shaping features characteristic of their personality development: curiosity, involvement, collaboration, autonomy. This paper aimed at the effectiveness of using the SOLE method in the educational process on students of grades I-IV integrated in multi level class at Vlădnicuţ Primary School, Vânători commune, Iaşi county. In this paper we followed both the cognitive side and the behavioral-attitudinal side of children. The results of this study reveal the positive impact of the SOLE method on students and recommend the use of self-organized activities in the classroom.