Reviewerly/exHarmony huggingface dataset:
Design of a Mobile Application to Improve the Treatment of Patients with Heart Problems using Pulse Sensors with Arduino

Currently, all citizens can suffer a heart attack, whether you are young or an adult, because it happens suddenly and as we know it is a fatal emergency that can happen anywhere, with one of the consequences being loss of consciousness. In addition, in order to prevent it, you need better control with doctors, but as we know, a heart attack can happen to us on any day and at any time. For this reason, a mobile application was designed to help prevent people suffering from heart problems and have a better follow-up of the check-ups and daily activities that they carry out. In addition, as the pulse sensor used with Arduino is connected to the application via Bluetooth, it will be able to alert trusted people that you are in danger and will also send a message to the nearest hospital. In this work, the Scrum methodology was used for the development and the Balsamiq tool for the design of the prototype. The results obtained from the research will be to prevent heart attack and have greater security where you are. Keywords— Problemas Cardiacos; Scrum; Balsamiq; Prototipos; Aplicaciones móviles; Arduino.
ACHIEVING META-SUBJECT LEARNING RESULTS IN THE PROCESS OF STUDYING MATHEMATICS

The article discusses the concept of «metasubject results», its essence and the need for modern mathematical education. The features of the educational basis in the acquisition of metasubject results-metasubject tasks are revealed. The authors give examples of methods of implementing the achievement of metasubject results when solving tasks in mathematics from the textbook of the educational and methodological complex «Primary school of the XXI century».
Structural Knowledge-Guided Feature Inference Network for Image Inpainting

Image inpainting is an essential task in image restoration field. Currently, most meth- ods for image inpainting employ the encoder- decoder framework to restore degraded areas, and this often results in synthesizing wrong se- mantic structure due to the lack of guiding from effective prior information. In this paper, we pro- pose a structural knowledge-guided framework for image inpainting, which predicts both the edge map and corrupted content at the same time. Our model captures structural knowledge in the structure estimation branch to guide the content inference in the latent feature space. By employing self-attention mechanism to aggre- gate known information and inferred structural knowledge, our model is able to synthesize more semantically reasonable content for the corrupted areas. Extensive experiments on three bench- mark datasets demonstrate that our method out- performs most state-of-the-art methods for image inpainting in terms of the evaluation of both vi- sual quality and quantitative metrics.
Effect of Taping Therapy on Primary Dysmenorrhea Severity and Premenstrual Syndrome in University Students

Effect of Taping Therapy on Primary Dysmenorrhea Severity and Premenstrual Syndrome in University Students
The Significance of Three Methods of Grouping Biblical Hebrew Text Portions

The paper first indicates the implications of the mixed results obtained by using three disparate analytical methods to infer relationships among biblical text portions based upon their spelling practices. Next, a sketch is provided of matres lectionis (“mothers of reading”) in Biblical Hebrew and of the Andersen-Forbes classification system. Vowel features are specified, and examples presented. The notion of transmissional textual change is introduced. The criticality of comparing the results provided by different analytical methods is emphasised. Next, three complementary analytical methods are introduced in turn, and their results are appraised. Clustering is a heuristic data exploration method, its prime result being that the spelling of the Torah sets it well apart from the other portions of the Hebrew Bible. Clustering, however, produces many other provocative portion groupings inviting investigation. While multidimensional scaling also gathers the Torah portions, it also yields its own tantalising juxtapositions. Seriation orders the portions along a timeline. It results in an expected horseshoe-shaped band of portions, albeit rather “puffy.” Also, some of its text-portion orders are suspicious. While many results produced by the three methods are encouraging, many are perplexing. Envisioned future application of evolving methods to our BH text-portion data may well enhance the trustworthiness of our inferences.
ANALYSIS OF ECONOMIC GROWTH AND INCOME INEQUALITY IN ROMANIA IN THE PERIOD 1990-2019

The paper aims to analyze the relationship between economic growth and income inequality in Romania in the period 1990-2019. The “Gross Domestic Product” (GDP) per capita indicator from the World Bank database was used to show the evolution of economic growth, and the GINI Coefficient was extracted from the Standardized World Income Inequality database to analyze income inequality. Romania’s macroeconomic result (GDP per capita) registered a continuous growth trend in the period 1990-2019. The Gini coefficient has followed the same dynamics. At first sight, this fact highlights that the phenomenon of economic growth has widened the gap between the rich and the poor in Romania in the examined period.
ANALYSIS SPOOF TEXT PRODUCTION ABILITY OF CLASS XI HIGH SCHOOL STUDENTS WITH PROBLEM-BASED LEARNING (PBL) APPROACH

There are 13 types of texts in English, but English teachers rarely teach spoof texts because most teachers are more focused on descriptive text, procedure text, etc. So, students' understanding of spoof texts was very low, even most students don’t know what the spoof text is, and they are not accustomed to producing texts. The Problem Based Learning approach was chosen to make it easier for teachers to help students produce texts. Therefore, this present study aims to analyze students’ abilities in producing spoof texts by using a problem-based learning approach. This research used qualitative descriptive and selected class XI students as a sample of this research. Data collection in this study used the following instruments: observation, interviews, and questionnaires to analyze the data in descriptive qualitative form. Based on the results, this study can conclude that the level of students’ ability to produce spoof texts after applying the Problem Based Learning Approach at the post-test is a complete category. It was proved that an average score of 73.9 and the highest score of 86. The percentage test of students' completeness was 78%, i.e., 14 of 22 students are included in the complete category. In comparison, 22% are not included in the complete category, meaning that students still need improvement.
Shortcomings of the Fundamental Matrix Equation to Reconstruct 3D Scenes

In stereo vision, the epipolar geometry is the intrinsic projective geometry between the two views. The essential and fundamental matrices relate corresponding points in stereo images. The essential matrix describes the geometry when the used cameras are calibrated, and the fundamental matrix expresses the geometry when the cameras are uncalibrated. Since the nineties, researchers devoted a lot of effort to estimating the fundamental matrix. Although it is a landmark of computer vision, in the current work, three derivations of the essential and fundamental matrices have been revised. The Longuet-Higgins' derivation of the essential matrix where the author draws a mapping between the position vectors of a 3D point; however, the one-to-one feature of that mapping is lost when he changed it to a relation between the image points. In the two other derivations, we demonstrate that the authors established a mapping between the image points through the misuse of mathematics.
DIGITALIZATION OF STUDENTS’ RESEARCH WORK

Ю.А. Дианова, А.В. Назаренко, Е
Cyber Autonomy Toolbox – Project Management Digital Transformation

There was a time when military technology reinforced and provided added value and expertise to business and government organisations. There are a number of technologies, specific military applications and solutions such as the Internet, GPS or sunglasses, and methodologies like strategic planning and negotiation systems that were developed in the past within military domains and later evaluated and implemented, which brought increases in speed and added business value. There are now many diverse digital transformation projects being implemented in several business domains – ranging from small and medium businesses like an Italian family restaurant to the global oil and gas companies such as Shell or British Petroleum or even executive branches of the European Union/European Commission. All these organisations use different technologies to optimise processes, innovate faster, collaborate efficiently and deliver more value with less effort. Economic defence – like never before – means national security. For that reason, Cyber Security initiatives associated with digital transformations include a “testing mode” period, along with Cyber Autonomy functions that aim to support business critical infrastructures. Different methodologies are in place to optimise for the new data-driven economy and support digital transformation. It is the responsibility of the business to adopt best practices and techniques to reinforce national security and offer effective tool support for effective Cyber Autonomy with digital transformation projects.
Statistical evaluation of colour image denoising techniques

In this digital era images are part of our daily life starting from a mobile phone screen unlock, social media to CCTV surveillance. Every day a massive number of images are captured and stored, but both these tasks are prone to noise. Day by day the demand for more conspicuous and accurate images is increasing. To fulfil this demand noise is required to be removed from the images. For this purpose, various algorithms are proposed and it is very difficult to choose one for the desired application. Every algorithm has its advantages and disadvantages, so in this paper we provide a comparative analysis of various algorithms on the standard dataset of colour images and evaluation of this comparison is achieved with a quantitative parameter PSNR. In addition, various promising directions for future research are provided.
Research on Integrated Teaching Strategy to Improve the Effect of Badminton Teaching in Colleges and Universities

While badminton is widely sought after by college students, the teaching effect of badminton course in many colleges and universities is poor.Starting from the existing problems, combined with teaching experience and literature analysis, this paper puts forward an integrated strategy to improve college badminton teaching, such as updating teaching ideas, optimizing teaching contents, innovating teaching process and improving teaching evaluation, in order to provide reference for college physical education reform.
A Streamlined Attention Mechanism for Image Classification and Fine-Grained Visual Recognition

In the recent advancements attention mechanism in deep learning had played a vital role in proving better results in tasks under computer vision. There exists multiple kinds of works under attention mechanism which includes under image classification, fine-grained visual recognition, image captioning, video captioning, object detection and recognition tasks. Global and local attention are the two attention based mechanisms which helps in interpreting the attentive partial. Considering this criteria, there exists channel and spatial attention where in channel attention considers the most attentive channel among the produced block of channels and spatial attention considers which region among the space needs to be focused on. We have proposed a streamlined attention block module which helps in enhancing the feature based learning with less number of additional layers i.e., a GAP layer followed by a linear layer with an incorporation of second order pooling(GSoP) after every layer in the utilized encoder. This mechanism has produced better range dependencies by the conducted experimentation. We have experimented our model on CIFAR-10, CIFAR-100 and FGVC-Aircrafts datasets considering finegrained visual recognition. We were successful in achieving state-of-the-result for FGVC-Aircrafts with an accuracy of 97%.
The Role of Librarians in the Implementation of Knowledge Management in IPDN Libraries

This research describe about the role of librarians in the implementation of knowledge management in IPDN library. The general purpose of this study was to determine the role of librarians in the implementation of knowledge management in the IPDN Library. This research uses qualitative research with descriptive method. As a result, librarians have implemented knowledge management by means of knowledge identification, knowledge acquisition, knowledge development, knowledge sharing management and knowledge storage.
Development of Smart Snake and Ladder Media in Mastery of English Vocabulary Grade III at SDI Babussalam Pandean Durenan Trenggalek

The monotonous learning media in English vocabulary, and memorizing method make students bored, so needed media innovations for these lessons, such as Smart Snake and Ladder. This paper aims to develop learning media Smart Snake and Ladder in mastering English vocabulary. The type of research used is R&amp;D. The results of this research and development, showed that: (1) The development of the Smart Snake and Ladder media product pays attention to the safe appearance, and modified ways of playing to attract the user's attention, curiosity, and describe the theme material for elementary school children. (2) The development of smart snake and ladder media is very valid and feasible to use to improve English vocabulary mastery, as the validation results from material experts I get a 100% validity level and material II experts get 92.5%, media experts I 81.25 %, media experts II 85%, and media experts III 84.37%. (3). The effectiveness of using smart snake and ladder media can be seen from the pre-test and post-test data. The average value of the pre-test is 81.87 while the average value of the post-test is 96.20. Apart from the pre-test and post-test data, it can also be seen from the student assessment data with an average score of 99.9%.
IMPLEMENTASI STANDAR NASIONAL PERPUSTAKAAN DI SMA NEGERI DALAM MENINGKATKAN KUALITAS LAYANAN PENDIDIKAN (STUDI PADA PERPUSTAKAAN SEKOLAH SMAN 3 KOTA MALANG)

The National Library Standard is the minimum criteria that used as a reference for the organization, management, and development of libraries. Therefore, every library, both public and school library, must have a service standard to maintain and improve their quality, especially improving the quality of education services for school libraries in SMAN 3 Malang. The research aims to describe and analyze the implementation of national library standards in improving the quality of education services at SMAN 3 Malang. The research method used is a qualitative method approach with observation, interviews and documentation data collection techniques. The data analysis used is developed by Robert K. Yin which includes several stages including: compiling, assembling, reassembling, data interpretation, and conclusion. The conclusion of this study shows that SMAN 3 Malang City has tried to manage the library in accordance with the Regulation of National Library of Indonesia Number 12 of 2017 concerning National Standards for high school Libraries which include: collection standards, facilities and infrastructure standards, service standards, library staff standards, and library management standards, although there are still some standards that have not been met due to inadequate quantity and qualification of library staff and budget constraints. In addition, the location of the school library at SMAN 3 Malang which is less strategic is one of the inhibiting factors in meeting these standards. So, the suggestion that can be formulated in this research is the need for collaboration with various stakeholders (private sector) to be able to access CSR (Corporate Social Responsibility) and universities that have library science study programs for collaborative internships and transfer of knowledge as well as assistance in library management in the SMAN 3 Malang library
Humanitarian Education in Modern Russia: Problems and Ways to Overcome Them

The article deals with problematic situations in the field of higher humanitarian education, which reduce the quality of training of specialists. We paid primary attention to the leading Russian universities of the financial and economic profile. We based our research on Internet resources and media materials. We have shown that the problems in the field of higher education in the humanities are diverse, complex, associated with social preferences, the current situation in the country and the general vector of state policy. Based on the analysis, we proposed possible ways of overcoming the identified problems. To improve higher education in the humanities, the psychology of the participants in the educational process should constantly be at the centre of the attention of researchers. Also, training and team project work should become an obligatory element of the educational process.
SELF-REFLECTION AS A TOOL OF PROFESSIONAL IDENTITY FORMATION OF FUTURE PEDAGOGUES

The relevance of this study. The method of self-reflection is an important factor in practical activity of a pedagogue, seeking to increase his work efficiency, strengthen relationship between ideal and real phenomena. Self-reflection also helps to feel satisfaction in one‘s work. Self-reflection facilitates cooperation between a pedagogue and a client or colleagues. Leliugiene treats self-reflection as objective analysis of professional social – pedagogical activity. She states, that the origin of reflection process is one‘s early relationships with an important person, who should create such environment for a child, in which he can understand his and others‘ psychological states and form his reflective function. Lukosiuniene has found out that reflection is useful for learning, work and personal life of specialists.The main problem.A pedagogue has to analyze and assess his professional activity constantly and seek to improve it. Applying various methods a pedagogue can assess his activity, whereas self-reflection is one of such methods. Thus the author of this article tries to answer the problematic question – how future pedagogues apply the method of self-reflection into the process of practical learning. Object of research: the aspects of self-reflection application, forming professional identity of future pedagogues.The goal - analyse the aspects of self-reflection application in the process of practical learning (as one of the stage of professional identity formation) of future pedagogues.Research methods: analysis of research literature and documents, analysis of students’ diaries of practical learning and their self-reflection of practices, content analysis.The article consists of three parts. The author discusses importance self-reflection in the activity of pedagogues in the first part. The role of self-reflection application in the process of future pedagogues is presented in the second part. And the main results of the empirical research are presented in the third part of the article
Kenobi Versioning

Kenobi versioning provides small online publishers with a simple, unified approach to naming, updating, and citing publications. However, it is easy to generalize to any scale of publication. Each document in a group is named using its date of creation or inception. This inception date is then combined with the group name variants to create the names and addresses that always point to the document’s latest version. Snapshots of how the current document once looked, called obsoletes, replace versions. Kenobi names and addresses are compact, unique, durable, human-readable, and DOI compatible, and help maintain a simple relationship between document names, addresses, and citations.
Bathymetric Resolution Analysis of the Gulf of Thailand

The GEBCO30 bathymetric data resolution 0.5 nautical miles in the Gulf of Thailand were corrected by comparison with the digitized Navigation Charts data from 47 charts in total that were surveyed and published between 1991 and 2005. The correction of bathymetric data and modification of map resolution from 926 meters to 200 and 50 meters were done by using scripts of the Generic Mapping Tools (GMT) programming. The result showed that the corrected GEBCO30 data in the Gulf of Thailand resolution 50 meters had 27,704,202 data and depth ranges (-97.99) – (2.51) meters. 99.07% of the data showed the discrepant depths with total horizontal uncertainty within 95% confidence level of ±10 meters. All of the data showed the discrepant depths with total vertical uncertainty within 95% confidence level of ±1.3685 meters and the value of Standard Deviation (SD) of 0.1945 that was better than the resolution 926 and 200 meters, respectively. The corrected GEBCO30 bathymetric data and adjusted resolution to 50 meters had the confidence following the standard of the International Hydrographic Organization, and all data also showed SD less than 1% of water depth.
Machine Learning Scientific Competitions and Datasets

A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks, like event reconstruction, classification and new physics discovery. Four of these competitions are summarised in this chapter, from which guidelines on organising such events are derived. In addition, a choice of competition platforms and available datasets are described
Slicing a Fact

This chapter focuses on the concept of slicing the fact. It discusses thoroughly two options, including vertical slice and horizontal slice, as well as when to appropriately use the correct slicing method. Slicing fact becomes more complex when determinant dimensions are used.
Penerapan Algoritma C4.5 Dalam Prediksi Resiko Diabetes Tahap Awal (Early Stage Diabetes)

Diabetes is a disease that is often encountered in all circles of society. From the data in the can even occur annually an increase in people with diabetes in the world. Many of the symptoms of the early stages that can be used as a reference to a person in the prediction of symptoms of diabetes or not. Hence the importance of prevention so that the increase going to health and could be spared from the disease diabetes. Based on those reasons here. researchers conducted the study by using the method of decision tree (C4.5) with the aid of rapid miner. The Data obtained is the data classification of the early stages of diabetic patients. To test the training and trials with a ratio of 90:10 using the split data on the application of rapid miner and process the decision tree method in addition add performance to calculate the accuracy. The results can be in the form of a decision tree that can be made a role in the testing dataset. In addition, the results of the evaluation data in the can the level of accuracy of 88.46 % where the amount of the percentage is said to be in the category of good classification.