Reviewerly/exHarmony huggingface dataset:
Video Freeze Assessment of TPCAST Wireless Virtual Reality: An Experimental Study

Wireless virtual reality (VR) offers a seamless user experience but has to cope with higher sensitivity to temporal impairments induced on the wireless link. Apart from bandwidth dynamics and latency, video freezes and their lengths are important temporal performance indicators that impact on the quality of experience (QoE) of networked VR applications and services. This paper reports an experimental study that focuses on the VR video frame freeze length characteristics of a wireless VR solution. A comprehensive measurement campaign using a commercial TPCAST wireless VR solution with an HTC Vive head-mounted display was conducted to obtain real VR video traces. The number of detected freezes and freeze intensities are reported both accumulated over four room quadrants as well as for each of the four quadrants subject to six transmitter-receiver distances. The statistical analysis of the VR video traces of the different experiments includes histograms of the freeze lengths and cumulative complementary histograms of the freeze length. The results of this analysis offer insights into the density of the underlying distributions of the measured data, illustrate the impact of the room topology on the freeze characteristics, and suggest the statistical modeling of the freeze characteristics as exponential and geometric distributions. The statistical models of the freeze characteristics may be included in wireless VR simulators supporting the development of physical layer, medium access layer, and higher layer functionalities. They also may serve as network-disturbance models for VR QoE studies, e.g., generating realistic freeze events in wireless VR stimuli.
Basics of iOS Application Development

To develop iOS apps, Apple provides several tools and resources. iOS apps can be developed in native programming languages such as Swift or Objective-C and other cross-platform languages.
AT THE ORIGINS OF THE FACULTY OF PHILOSOPHY OF THE ROSTOV STATE UNIVERSITY (SFEDU): ANATOLY SINITSKY

The article is devoted to Anatoly Sinitsky’s life and creative work. He was one of the deans of the Rostov State University’s Faculty of Philosophy in the 1970s. The article runs about Anatoly Sinitsky’s life path, his scholar aspirations, milestones in his career, and his influence on the process of university aesthetic education. Regarding the latter, he implemented a project of general cultural and humanitarian education at RSU. The article grounds nowadays need in aesthetic education.
Red and yellow light warning evaluation on project weak links based on smart construction site and project progress platform

Taking Weihai Fengji Jinmaoyue Project as an example, this article demonstrates the practicability of integrating smart construction site module to Weihai Major Project Management Platform or making the two mutually independent but sharing information. Based on the practical situation, the author proposes to take progress, security and quality, these three factors, as research objects and to bring these indicators into red and yellow light warning mechanism to perfect the suggestions for the platform to determine scientificity.
Research on Computer Intelligent Virtual Entrepreneurship System under .NET Platform and Big Data Technology

With the advancement of the national innovation strategy of mass entrepreneurship and innovation, college students&#x0027; innovation and entrepreneurship have also developed rapidly. In order to further save project human management resources, improve the management level of college students&#x0027; innovation and entrepreneurship, and enhance their ability to innovate and entrepreneurship This article summarizes the student simulation entrepreneurship platform system, that is, students first through entrepreneurship education, cultivate entrepreneurial awareness, learn basic company management knowledge, cultivate team management capabilities, and then use the community mutual assistance platform to obtain human resources, form a team, and then participate in the competition The training platform carries out virtual and physical entrepreneurial practice training. On this basis, a team with a mature entrepreneurial plan can be formed, which can apply for incubation and enter the entrepreneurial incubation platform. The platform system is systematic and systematic in operation, which can be used as a reference for relevant peers.
Houston College Sport Programs’ Hurricane Harvey Communication

This study provides a Twitter content analysis of tweets by Houston-based Division I college sport programs during Hurricane Harvey. A content analysis was performed on the tweets appearing on the main intercollegiate athletics Twitter pages of University of Houston, Houston Baptist University, Prairie View A&amp;M University, Rice University, and Texas Southern University in response to Hurricane Harvey. The researchers based their study on grounded theory informed by a study conducted by Inoue and Havard (2015). While this study examined tweets rather than newspaper and magazine articles like Inoue and Havard (2015), this study confirmed the theme findings in Inoue and Havard (2015) applied well in a Twitter social media setting as well. New themes that were added by the researchers in the current study proved to be applicable.
Vocal Eyes Communication System

Communication is one of the most vital elements for a human being. Amyotrophic lateral sclerosis also known as ALS is one of the progressive neurodegenerative diseases. This affects nerve cells in the brain and spinal cord. A-myo-trophic is from Greek, it means “No muscle nourishment”. Whenever a muscle has no nourishment, it becomes weak. The nerve cells present in person’s spinal cord control the muscles, whose location is identified by lateral. As a result, the person might lose the ability to speak as there are almost 100 muscles that are responsible for speech. The main objective of the proposed work is to give voice to voiceless. Even in severe cases of ALS, the patient can still move his/her eyes. This ability is utilized to create an application in which eye movements of the patient can be used to select the letters displayed on virtual keyboard. Then this will eventually be converted into speech. The entire work is based on OpenCV and image processing algorithms.
«Cose di grande assetto». Nuovi appunti intorno al lessico del <i>Tesoretto</i>

This article focuses on the innovative lexicon in Brunetto’s Tesoretto and how such terms make this vernacular text so particularly original. It first analyses the phonological and morphological features present in Riccardiano 2908 (the main Tesoretto witness), thereby making it possible to collocate the manuscript between the late 13th and early 14th centuries. It then provides a detailed survey of the lexicon, paying particular attention to the numerous rare Gallicisms; such terms can also be traced to the Tresor, thus providing further evidence that the Tesoretto was written after the French text. The article concludes by first comparing the presence of Gallicisms in the Tesoretto and in other works in the vernacular by Brunetto and then examining the many technical terms and previously undocumented words that appear in the Tesoretto.
High Detection of Hydroponic Plant Pak Choy Using Morphological Image Processing

Hydroponics is a cultivation technique that uses water without using soil by emphasizing nutrients for plants. But in monitoring the height of the plant, people who want to plant hydroponics or who are doing it at home still estimate without knowing exactly, so there are plants whose height is not well monitored. These problems created an idea to create a detection system for plant growth and development to detect height more accurately. Image Processing is a branch of knowledge about image processing processed digitally. The development of technology is speedy in computer vision that makes image processing not only to improve the image alone but also to detect or track an object, read barcodes, and others. The stages of image processing are acquiring images from images, preprocessing, and recognition. The method used in this system is the Morphological Image Processing method. The parameter used is to calculate the height of the Pak Choy hydroponic plant. Using this method, we obtained an accuracy of the system of 93.81&#x0025; with a light intensity of 15.7 lux. During the 6 weeks of Pak Choy plant growth, the best accuracy was in the 3rd week with an accuracy of 97.24&#x0025; with an average of 13.65 lux light intensity. The worst accuracy was found in the 2nd week, with an average accuracy of 86.25&#x0025; at 15 lux light intensity.
Empirical Study on the Retirement Management through Perception Survey of Firefighters

The purpose of the present research was to provide baseline data for developing improvement measures for retirement management systems of firefighters, by conducting and analyzing an investigation on firefighters and their job activities after retirement. As a result of analysis, firefighters were most concerned with the financial portion among the concerns for their life after retirement. However in terms of financial preparations, there was nothing prepared other than pension for public officials and it was found that 72.1% had intentions to continue work even after their retirement. Moreover, it was found that if they were to continue working, they most preferred full-time employment of living expenses standards. In order to improve retirement management based on the empirical study on the retirement management of firefighters, the establishment of reemployment policies must be achieved through revitalization of support centers for changing occupations such as networks and organizations exclusively for changing occupations and retirements, as well as development of retirement programs for future retired firefighters.
Development of Drowning Detection Algorithm for USV

Drowning is one of the leading cause of unintentional injury related-death worldwide. Development of an early warning system can prevent drowning accident. Most of drowning detection methods are for swimming pools. Here, a drowning detection algorithm is developed which can be implemented on Unmanned Surface Vehicle (USV). The algorithm is based on SSD MobileNet v2 which is trained with the developed dataset. Experiment shows promising result with a good average precision (50.9) and it is shown that the algorithm is potential to be used in real situation.
The development of a project-based student worksheet to foster fourth graders' creativity in integrated theme learning

The goal of this study was to find out if a student worksheet, which was based on project-based learning, was valid in terms of improving learning outcomes. Research and development (R&amp;D) was employed as the method, which was carried out until the initial product design development stage. Purposive sampling was employed involving 22 students in class IV at SD Negeri 7 Metro Barat as the experimental class and 23 students in class IV at SD Negeri 3 Metro Barat as the control class. A validation questionnaire was utilised to collect data. The percentage method and descriptive analysis were utilised in the data analysis. The project-based learning student worksheet was declared valid to improve learning outcomes based on the results of an expert validation test (87.5%) on content, an expert validation test (80%) on construction, and an expert validation test (100%) on language. The implications of the findings are also discussed along with suggestions for further research.
Mosquito larvae counting system in the natural environment using deep learning on images

It is known that some species of mosquitoes, from genera Aedes, Anopheles and Culex, have evolved to feed preferably from human beings and their life cycle occurs in urban areas. Gran Asuncion is an urban agglomerate that includes&#x00B4; many cities around Asuncion, capital of Paraguay, which has an&#x00B4; approximated population of 2.8M inhabitants from the 7.0M in the country, being the zone with the greatest population density of Paraguay, and so for mosquitoes population. This works consists of the development of a image acquisition system for obtaining images of larvae, and the training and test of a counting system using deep learning techniques. It has been obtained 976 images that have been labeled manually with boxes for further processing and different tensorflow2 models were trained in order to count the number of insects. The main contribution of this work is to offer images for data of the larvae in the region, obtained on field conditions, what is more, they have been tested with different models in order to validate the dataset. Results show the advantages and disadvantages of the different models taken into account. The model faster_rcnn_resnet101_v1_640&#x00D7;640 has been chosen for a detection system that will be implemented in the next stage, because it offers better results, given that all traning processes have already been done.
Main Techniques of Linguistic Economy in Internet Discourse (by the Material of Spanish Social Networks)

The study aims to identify the main techniques of linguistic economy in Spanish Internet communication, based on the material from the Internet discourse of users of social networks popular in Spain (Facebook, Instagram and Twitter). Scientific novelty of the paper lies in providing a comprehensive characterisation and classification of the main techniques of economy in the Internet communication in the Spanish language (by the material of social networks), as well as in elaborating grounds for their classification, involving extensive modern material. The results have shown that the trend towards linguistic economy is paramount for Spanish social networks users, it serves to simplify online communication, as well as to increase the speed of information exchange. This phenomenon is accompanied by a deliberate disregard for spelling and grammatical norms of the Spanish language and is in the nature of “ciphering” or labelling linguistic means of the Internet slang among users.
AN ANALYSIS STUDENT’S ABILITY IN WRITING PROCEDURE TEXT BY USING PICTURE SERIES AT SMP TELADAN MEDAN

Abstract&#x0D; &#x0D; This research purposed to know the students‟ ability in writing procedure text . The location of this research was in SMP Teladan Medan.The time that was spend in this research was two days. This research was applied by qualitative content analysis. The subject of the research was the students at grade EIGHTH GRADE OF SMP TELADAN MEDAN . Students consist of 26 students. The instruments that used in this research was a test of writing procedure text, interview. The test was asking the students to write the procedure text by using picture series well. Based on the result of the research, the students‟ ability in writing procedure text was low. From this research, there are two instruments in examining their ability including vocabulary,style,mechanism,grammar. It is hoped that by the finding of these trouble, there will be future research on this subject so that there will be some method or strategy that enable to overcome these troubles.&#x0D; engl&#x0D; Key words: ability, writing, procedure text, picture series&#x0D;
Introduction

This chapter introduces the book’s key aims: showing how a logical possibility operator helps formulate potentialist set theory, intuitively justify the ZFC axioms, clarify applied mathematics and more.
Some Peculiarities of Integrating Visual Literacy into the System of Modern Education

The study substantiates the importance of the application of visual literacy in the modern educational process in the era of dynamic development of information and digital technologies. The paper analyses their coming into everyday existence of society, which became a prerequisite for the formation of a digital person, Homo Digitalis. Having moved away from written culture, he was actively involved in the process of modern communication, which is mainly a culture of image and sound. In course of research the modern student is revealed to constantly use acquisition of the multimedia language of the screen, significantly complementing the textual educational content with visual images. The problems of modern education are described in the context of the potential of digital culture, where the student faces audio-visual environment. The assertion of digital socialization shapes a digital identity of Homo Digitalis, which independently creates and controls his own informal educational strategies, the implementation of which requires a new kind of literacy. Discovering the essence of the concept of literacy corresponding to its other narratives revealed the meaning and purpose of visual literacy. The importance of its separation is caused by the inherent for the digital society gap between verbal and visual cultures, the growth of experience of human interaction with the virtual environment. Visual literacy develops the ability to think and express thoughts through images. Furthermore, the knowledge that characterizes visually literate students is revealed, arguments in favour of the screen definition of visual literacy are distinguished, its standards are identified and analysed as well. The research findings prompt the conclusion that modern education should orient teachers and students to new ways and factors of the educational process, where visual literacy is highly ranked. Its active implementation provides prospects for further improvement of education and productive person’s development.
A distributed quality of service-enabled load balancing approach for cloud environment

Purpose During high demand for the virtualized resources in cloud environment, efficient task scheduling achieves the desired performance criteria by balancing the load in the system. Design/methodology/approach It is a task scheduling approach used for load balancing in cloud environment. Task scheduling in such an environment is used for the task execution on a suitable resource by considering some parameters and constraints to achieve performance. Findings The presented mechanism is an extension of the previous proposed work quality of service (QoS)-enabled join minimum loaded queue (JMLQ) (Sharma et al. , 2019c). The proposed approach has been tested in the CloudSim simulator, and the results show that the proposed approach achieves better results in comparison to QoS-enabled JMLQ and its other variants in the cloud environment. Originality/value 90%
CONDITIONAL TOPOSES OF THE DIALOGUE OF AESTHETIC MODELS

The problem of the dialogue of aesthetic models has become especially relevant in the XX-XXI centuries. The blurring of the classical canons of the aesthetic: harmony, beautiful, sensual reflection of reality created the prerequisites for the emergence of modern aesthetics,in the focus of which were not the reception of the real, but the existential world of man in the variety of his experiences and perceptions of the surrounding reality and himself. The habitual dimensions of the aesthetic categories of the beautiful, the ugly, the significant began to be viewed in the free dynamics of the signified and signifier. The movement towards the objectification of “hidden reality”, suppressed meanings, emotions, images, colors, sounds begins in postmodernism. Not the static nature of any tradition, its desire to continue, relatively speaking, creates transitional aesthetic models, each of which has independent explanatory capabilities of the aesthetic.
Research on The Flow of Innovative Talents in the New Energy Automobile Industry from the Perspective of Enterprises

With the rapid development of the new energy automobile industry, the shortage of talents in the industry is becoming more and more serious, and the competition for talents among enterprises is becoming more intense. At present, the flow of innovative talents in the new energy automobile industry has the characteristics of high willingness and obvious cross-regional flow. Compared with traditional advantageous industries, the incoordination of personal and organizational goals, the mismatch of corporate culture, and irrational internal management systems are the three main factors that cause the flow of innovative talents in the new energy industry. This article starts with analyzing the characteristics of the flow of innovative talents in the new energy automobile industry, explores the main factors that cause the flow of talents, and then proposes solutions to provide references for new energy automobile companies to attract and retain innovative talents.
Decentralized Secure Personal Health Record Monitoring System using Blockchain

Design of security systems for Personal Health Record (PHR) continuous to remain an active research area. Machine Learning and Big data on health care are used for prediction of data or diseases. But there is no traditional system which id used to secure the data and provide emergency access in emergency conditions. PHR is a private and secure record of any individual through which an individual could access, manage and share his/her health data. In hospital management systems, there is an opportunity of sharing PHRs by the hospitals, doctors or workers for his/her private profit so there is no secure record management for restricting the unauthorized access to providing details in emergency circumstances for accessing his/her PHR. The major goal of this project is to provide security to clinical data by a secure record management ledger and provide different levels of abstraction with limited access permissions using some granular access rules on smart contracts on PHR using blockchain. For emergency access we gave some permissioned access rules to the PHR dependent on emergency PHR information that patient can control access for the record using grant and revoke permissions to any doctor. We analyse the proposed framework&#x0027;s overall performance using Hyperledger fabric which is permissioned block chain dependent on security, privacy and accessibility and response time.
Pattern Clustering Approach for Activity Recognition in Smart Homes

In recent years, studies in activity recognition have shown an increasing amount of attention among other researchers. Activity recognition is usually performed through two steps: activity pattern clustering and classification processes. Clustering allows similar activity patterns to be grouped together while classification provides a decision-making process to infer the right activity. Although many related works have been suggested in these areas, there is some limitation as most of them are focused only on one part of these two processes. This paper presents a work that combines pattern clustering and classification into one single framework. The former uses the Self Organizing Map (SOM) to cluster activity data into groups while the latter utilizes semantic activity modelling to infer the right type of activity. Experimental results show that the combined method provides higher recognition accuracy compared to the traditional method of machine learning. Furthermore, it is more appropriate for a dynamic environment of human living.
Optimized 64-bit Reversible BCD Adder for Low-power Applications and Its Comparative Study

Reversible logic has emerged its importance in the framework of recent technology as such optical computing and quantum computation. Reversible logic does not loose bits of information during computation. In the proposed work, a class of new design for reversible 4-bit and 64-bit BCD adder circuits is designed. Design of 64-bit BCD adder is first of its kind when related with the present reversible BCD adder in the literature. Proposed design uses 11 constant inputs, 22 garbage outputs, and the quantum cost are 72. Quantum cost of the circuit is reduced extremely compared to existing design. Design of 64-bit reversible BCD adder is first of its kind analyzed with all existing design available in the literature.