Reviewerly/exHarmony huggingface dataset:
MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks

In this study, we focus on Task 1 of the 2021 Multimodal Brain Tumor Segmentation (BraTS) challenge. We present a modified U-net model aimed at improving the segmentation of glioblastomas, reducing the computation time without compromising detection sensitivity. Our automated approach takes multimodal MR images as input, generates a bounding box of the brain volume, and combines the model predictions at the 2D slice level into a full 3D segmentation that is written into a NIfTI file. On the official 2021 BraTS test set of 570 cases, the model obtained median Dice scores of 0.80, 0.87, and 0.87, as well as median 95% Hausdorff distances of 2.45, 4.64, and 6.40 for the enhancing tumor, tumor core, and whole tumor regions, respectively.
Examination of Pitching Parameters Affecting Recognition of Pitched Ball in Baseball Using Virtual Reality

The word “rise” is used to describe the texture of pitching in baseball. In order to clarify the factors by which the batter perceives “rise” for pitching, we analyzed the parameters such as the physical features of the ball and the tempo of the pitching form in relation to the batter's subjective evaluation. We conducted a Two-alternative forced choice(TAFC) experiment using stimuli that changed the ball speed and the pitching motion time. There were two questions, “Which ball has risen more?” And “Which has the faster ball speed?” In order to achieve both conditional control and a sense of reality, we used a virtual reality baseball system that was originally developed. As a result, it was found that when the tempo of the pitching form is fast, the experiment participants feel that the ball speed is high and the ball is rising. A positive correlation was found between the ball speed and “rise”, but it was confirmed that not only the ball speed but also the pitching form affects the recognition of “rise”.
Semantic Annotation-based Knowledge Representation for Smart Manufacturing: A Case of Experimental Results

In smart manufacturing, manufacturing enablers (machine tools, robots, CAD/CAM systems, monitoring systems, and alike) and human resources need knowledge for performing high-level cognitive tasks such as monitoring, understanding, predicting, decision-making, and adapting. The ever-growing knowledge-bases in the human-cyber-physical systems supply the required knowledge. The knowledge in the knowledge-bases must be human/machine-comprehensible, represented by a scalable ontology-based representation method. In reality, representation methods are mostly domain-specific and follow strict ontological formalism. This study addresses this issue by presenting a semantic annotation-based representation method. The annotation mechanism follows knowledge-type-aware concept mapping. A Java™-based computerized system, denoted as Semantically Annotated Data Visualization System (SAD-VS), is also developed for human/machine comprehensibility of the represented knowledge. The proposed annotation mechanism and SAD-VS are demonstrated in detail, considering a real-life manufacturing experiment. The findings of this study can increase the usages of experimental datasets more effectively while developing digital twins.
A Proposal for Video Application System That Reproduces In-Person Class in Distance Learning Environment

Due to the spread of COVID-19, many universities have been forced to manage distance learning.Most of the universities are using video calling applications to create an environment similar to in-person classes.However, there is a clear difference from actual in-person classes.Both teachers and students feel the difficulty of providing/taking the course.This can lead to a loss of motivation in the classes.This is specifically due to the fact that distance learning is not able to equip a 'sense of reality' for both teachers and students.Unlike inperson classes, distance learning is not realistic, and the faces of the participants are only displayed on a flat screen on the online screen.Therefore, we considered that the existing video call applications used as environments for distance learning cannot provide classes with realistic experiences.For students, unlike inperson classes, the teacher is not actually standing and teaching on the podium in front of them, in the remote class.The class is free from the style of in-person classes, and students can take classes at home or in any other environment of each their own choice.Since there are no physical existence of teachers or other students around, it is possible for students to take the class while doing something irrelevant to the class.In this study, we propose a video utilization system that can improve this problem and provide a sense of reality similar to that of inperson classes in a distance education environment.The proposed system can work as a realistic tool for both students and teachers in remote classes.
Multi-qubit production in spontaneous parametric down conversion

We present a novel yet simple approach to produce multiple entangled photon pairs through spontaneous parametric down conversion (SPDC). We have designed Gaussian masks to subdivide the pump beam before passing it through a nonlinear medium. In this way, we are able to observe simultaneous separate down converted emission cones with spatial overlap. The technique we employ can be used to greatly increase the dimensionality of entangled photonic systems generated from spontaneous parametric down conversion, affording greater scalability to optical quantum computing than previously explored.
Research on partial discharge simulation device and evaluation method based on GIS

In this paper, a GIS partial discharge simulation device is designed. Based on the simulation device, a GIS partial discharge measurement system is developed. The model simulates the 110 kV GIS bus cavity. In this paper, four kinds of discharge physical models including tip defect, suspension defect, air gap defect and particle defect are designed, and the GIS partial discharge measurement system is established. Pulse current detection method and ultra-high frequency detection method are used to test and analyze the data to study the characteristics of different types of partial discharge in GIS.
STAGES AND CONDITIONS OF IMPLEMENTATION OF STEM EDUCATION IN UKRAINE

Every year, despite our desires and preferences, innovative processes take place in the world, new technologies are created that permeate all spheres of social life. Thus, the last couple of years have been marked by the emergence of 3D printers, the creation of supermarkets of the future, modernization of production through robotic prefabricated systems, testing of robot buses, the development of virtual reality and artificial intelligence and more. Various innovations also affected the education system of Ukraine. Forms, methods, teaching aids, the role of teacher and student, curricula and assessment systems are changing. With the modernization of the educational process, new directions in education appear. Yes, today you can hear about mixed, inverted, mobile, social learning, video scribing, cloud technologies, inverted classroom, storytelling, start-up challenge, etc. Due to the spread of coronavirus infection and the introduction of quarantine, distance education has become relevant. Thus, at the present stage there is a global reform of Ukrainian education, aimed at changing conceptual priorities, finding ways to integrate into the European education system. One of the promising areas is the introduction of STEM-education, which provides for the integration of natural sciences, which focuses on the development of new technologies, mathematical calculations, innovative thinking. In this context, there is a reorientation of the educational process to the development of personality, and such a reorientation involves the improvement of the entire education system, and consequently the teaching methods of individual disciplines, including natural sciences. To do this, it is necessary to calculate the conditions and stages of implementation of STEM-education in the educational process of general secondary education in Ukraine, which in the future should meet the needs of the country for well-trained engineers and specialists in STEM education.
Analytical Approach of Quantum Computing based on Thematic Studies

The concept of quantum computing is characterized by the use of its new analysis and its results. On the other hand, this concept requires critical content of the asset and remains multifaceted research and authoritative field. In the field of quantum computing, bibliometric analyses were developed to identify the underlying impacts and to obtain a systematic review of structures and spaces and spaces during this field of research. This paper focuses on the Quantum circuit model, Alan Mathison Turing device, Adiabatic quantum computer, Unidirectional quantum computer and, multiple quanta mobile automata. This last learning space has recently taken a high position in quantum computing studies. The most important indicators date back to the early years. It can be concluded that there can be a large number of integrated subjects in the field of quantum computing, as the guidelines of the various authors represent about three-quarters of all subjects. In addition, analysis in the field of quantum computing is characterized by a wide range of multidisciplinary and thematic studies. The shift away from technological features to more personalities is seen as a marked change in research focus. Gaps in various titles between authors, countries, and organizations have begun in this paper.
OPEN WEB RESOURCE “MODERN OPERATING SYSTEMS”

One of the priorities of the higher education modernization program is the introduction of open training courses into the educational process.The advantages of an open training course are the ability to provide access for all subjects of training to independent work and all those who do not have the opportunity to study in higher education institutions in person.The authors of the article created the Open Web-resource "Modern operating systems" (http:// surl.li/bicy) for the field of knowledge: 01 Education / Pedagogy, specialty 014 Secondary education and introduced it in the educational process.During the creation of the open web resource, the scientists defined the purpose and objectives of the course, divided the educational information into separate blocks; consistently provided information according to a certain logic; made up questions to secure the content of the open course.The purpose of the course is to form students' perceptions of the requirements for operating systems, a history of development, and classification.Provide them with knowledge related to operating systems and their development.Using the operating systems of the MS Win2K (Windows 7 or Windows 10) and GNU Linux (Ubuntu Linux) families as an example, study process control systems, memory management, file system operation, and input-output control systems.
Statistical Parametric Speech Synthesis for Punjabi Language using Deep Neural Network

In recent years, speech technology gets very advanced, due to which speech synthesis becomes an interesting area of study for researchers. Text-To-Speech (TTS) system generates the speech from the text by using a synthesized technique like concatenative, formant, articulatory, Statistical Parametric Speech Synthesis (SPSS) etc. The Deep Neural Network (DNN) based SPSS for the Punjabi language is used in this research work. The database used for this research works contains 674 audio files and a single text file containing 674 sentences. This database was created at the Language Technologies Institute at Carnegie Mellon University (CMU) provided under Festvox distribution. Ossian toolkit is used as a front-end for text processing. The two DNNs are modeled using the merlin toolkit. The duration DNN maps the linguistic and duration features of speech. The acoustic DNN maps the linguistic and acoustic features. The subjective evaluation using the Mean Opinion Score (MOS) shows that this TTS system has good quality of naturalness that is 80.2%.
Simulation and analysis of polypropylene dielectric constant based on molecular simulation method

As an important parameter reflecting the macroscopic dielectric properties of polymer materials, the dielectric constant is determined by the size and mode of the interaction between molecules and atoms, and the microscopic morphology of polymer chains, in particular, the structure and energy distribution between the chains is the key to determine the intermolecular interaction. In this paper, the simulation model of long chain structure of isotactic polypropylene is established by using simulation software, the steady state conformation of the molecule is calculated according to the principle of minimum energy, and the structure of the molecule is optimized by using force field, calculation of the permittivity of polypropylene based on Clausius-Mossotti equation. The results show that the dielectric constant of PP is 2.42, and that of industrial PP is 2.20-2.38(mean value is 2.25) . The calculated results are close to the experimental values, and the accuracy of the simulation model is 92.4%. The relationship between the micro-chain morphology and the macro-dielectric properties of polypropylene is established, which provides reference value for the chemical modification of polypropylene.
Mathematical model of erythrocyte in the capillary motion

Practical medicine requires new research to better understand the processes of blood flow through the vascular system. In particular, the processes of blood movement in capillaries, when their diameter is smaller than the diameter of erythrocytes, are of interest. It is believed that the center of mass of the erythrocyte lies on the midline of the capillary. While in the arterioles, the erythrocyte releases nutrients, so its mass decreases. When moving in the venule, the mass of the erythrocyte increases because it receives spent substances from the tissue space. The vascular wall of the capillary and its midline are modeled using the equation of the parabola, which makes it possible to calculate within the specified limits the length of the wall and the midline. The movement of an erythrocyte is described by the Meshchersky equation for bodies with variable mass. The proposed article is devoted to the construction of static models of capillaries in the norm and a dynamic model of movement in the capillary of an erythrocyte with variable mass.
DeepSSR: a deep learning system for structured recognition of text images from unstructured paper-based medical reports

Background: Complete electronic health records (EHRs) are not often available, because information barriers are caused by differences in the level of informatization and the type of the EHR system.Therefore, we aimed to develop a deep learning system [deep learning system for structured recognition of text images from unstructured paper-based medical reports (DeepSSR)] for structured recognition of text images from unstructured paper-based medical reports (UPBMRs) to help physicians solve the data-sharing problem.Methods: UPBMR images were firstly preprocessed through binarization, image correction, and image segmentation.Next, the table area was detected with a lightweight network (i.e., the proposed YOLOv3-MobileNet model).In addition, the text of the table area was detected and recognized with the model based on differentiable binarization (DB) and convolutional recurrent neural network (CRNN).Finally, the recognized text was structured according to its row and column coordinates.DeepSSR was trained and validated on our dataset with 4,221 UPBMR images which were randomly split into training, validation, and testing sets in a ratio of 8:1:1.Results: DeepSSR achieved a high accuracy of 91.10% and a speed of 0.668 s per image.In the system, the proposed YOLOv3-MobileNet model for table detection achieved a precision of 97.8% and a speed of 0.006 s per image.Conclusions: DeepSSR has high accuracy and fast speed in structured recognition of text based on UPBMR images.This system may help solve the data-sharing problem due to information barriers between hospitals with different EHR systems.
Students’ Perception of the Impact of Video Demonstrations Shared through Whatsapp® in Their Clinical Performance

Objectives: To identify the perception of the impact of the use of the WhatsApp® application in the development of clinical skills in dental students from Colombia, Costa Rica and Peru.Methods: An online questionnaire was applied to 119 students: One hundred and two undergraduate students from Peru (P) and seventeen graduate students from Colombia (C) and Costa Rica (CR).Results: Most of the students perceive that the videos improved their clinic performance, express that sharing videos through the App could complement the theoretical classes, and believe that it promotes the use of information and communications technologies.Conclusions: The students' perception towards the use of the WhatsApp® application for education purpose is very positive.This disruptive digital technology enabled the meaningful learning of the undergraduate and graduate dental students.Sharing videos through the App can complement traditional lectures and enrich the learning experience.
COACHING SUPPORT IN THE CONTEXT OF THE GLOBAL CRISIS

In section it is revealed the essence of the personal coaching support in the context of the global society crisis. Namely it is proposed the coaching technologies for psychological support in the process of experiencing and overcoming life`s difficulties. It is marked that the current reality is that we have to live in another world: the unstable, uncertain, complex and ambiguous world of VUCA. It is determined the VUCA concept particularities and it is analyzed the ways of applying in the world where the forecasting tasks are difficult to implement. The authors consider that in this sense the broad analysis material is the experience and theoretical positions of coaching which has scientific and methodological basis and is a logical continuation of the psychological practice ideas inherent in humanistic, existential, postmodern, transpersonal and integrated psychological paradigm of the late twenties’ century. In the first section it is considered the main coaching directions: businesscoaching and life-coaching: the main approaches, principles and tools that in our opinion, will help in the global crisis in Ukraine. It is provided the definition of coaching particularly according to M. Atkinson «coaching affects the positive changes in the internal potential of people, teams, organizations». It is paid attention to the basic principles of the coaching process: 1. Everybody is alright. 2. The person makes the best choice available to her. 3. Changes are not only possible but always happen. 4. Everyone has all resources to achieve what they want. 5. In every action there is a positive intention. In the second section it is discussed coaching methodology which offers skills development practices, helps to detail and build the microelements` order of effective coaching communication through methods of strong coaching conversations, teaches to communicate in such a way that your inspiration and opportunities are increasing, helps you though maps and methods, to develop inner language structures and action structure which is related to the activation of goals channel. At the end it is demonstrated one of the main support tools – Technical dissociations by working with stress. Conclusions. Thus, coaching is a process of transformational communication that helps clients to learn seven types of coaching flow, namely: capture, observation, true value, logical progress, creative capacity, deep realization and gratitude using time factor, methods that are aimed at finding solutions and result-oriented thinking, etc. In the paper it is demonstrated that coaching support in the context of crisis is relevant and vital both for all types of business and on a personal level because it helps to create conditions for qualitative changes of human activity that definitely will cause the desired result according to her own requirements and to a new round of self-development.
Knowledge Graphs of Linked Data

This first chapter introduces the concepts of Knowledge Graphs and Linked Data, and the technical specifications of RDF, and SPARQL as paradigmatic implementations of these concepts. These technologies have gained a lot of traction in recent years in both academia and industry, as shown by large Knowledge Graphs like Wikidata and DBpedia, and those fueling the services of Google, Microsoft, Apple, Facebook, Amazon, Yahoo, and LinkedIn. Writing an exhaustive chapter–which would easily turn into a book, see, e.g., [Hogan et al., 2021]–about all the technologies involved in the construction and access of these Knowledge Graphs is out of the scope of this book. Instead, we focus on a specific view of what Knowledge Graphs are: a data representation paradigm that uses graphs of linked data to represent knowledge through a set of W3C Web standards.1 This is, however, just a pragmatic decision: Knowledge Graphs are not one single, unanimously recognized technology stack. In fact, there are many interesting, alternative ways of implementing Knowledge Graphs outside the space of Linked Data, for example, through property graphs which are becoming increasingly popular in various domains. In order to give a flavor of these alternatives, we also provide a brief introduction to GraphQL at the end of the chapter.
The ACA-based PID Controller for Enhancing a Wheeled-Mobile Robot

Wall-following control of mobile robot is an important topic in the mobile robot researches. The wall-following control problem is characterized by moving the robot along the wall in a desired direction while maintaining a constants distance to the wall. The existing control algorithms become complicated in implementation and not efficient enough. Ant colony algorithm (ACA), in terms of optimizing parameters, has a faster convergence speed and features that are easy to integrate with other methods. This paper adopts ant colony algorithm to optimize PID controller, and then selects ideal control parameters. The simulation results based on MATLAB show that the control system optimized by ant colony algorithm has higher efficiency than the traditional control systems in term of RMSE.
Library Management System

The majority of universities still operate their libraries primarily by hand at the moment. This study suggests a library management system that is created and executed based on a web service to address the issue of the time-consuming and inconvenient traditional manual operation. It provides an easy-to-use interface that enables users to explore and filter the entries that are available, which can be retrieved or uploaded by copying them from one of the Storage Elements into the user's local system or vice versa. This study develops the information architecture and key mechanisms of the library management system and examines the invention of system service mode from the viewpoints of readers' information acquisition and modification, quick management, and delivery of books. The conventional library management technique, with its poor efficiency and single operation mode, is considered, along with its low efficiency and single operation mode. Finally, we employ stored procedures and trigger technologies to enhance database performance in order to increase the database's operational efficiency. We fix the system problem and enhance system performance through actual testing.