Reviewerly/exHarmony huggingface dataset:
Symmetry and retrospect: a stylistic and analytical review of Three Works for Solo Piano by Einojuhani Rautavaara

Einojuhani Rautavaara (1928 – 2016) is one of Finland’s most well-known composers. He is widely respected for his compositions in the genres of opera, symphony, and vocal works, yet he has a significant body of work for solo piano that goes mostly unrecognized. Among Rautavaara’s work is a set of three pieces composed late in his life that appeared nearly twenty-five years after his last prior composition for solo piano. Narcissus, Passionale, and Fuoco reveal a composer that developed a very personal and highly referential sense of musical style and sound conception. Furthermore, these works reflect the many influences and stylistic models that Rautavaara experienced over his lifetime. The analytical discussion of these three compositions will illustrate the specific elements that Rautavaara incorporated into his late compositions and the various sources of inspiration that he assimilated over the years of his career. Study of these works will demonstrate a composer who is able to integrate a truly eclectic set of techniques into one distinctive voice. Rautavaara’s stylistic approaches to composition throughout his career are mirrored in these final pieces, which act as a microcosm of his development as a composer.
QP "DCT and Wavelet transfer (HAAR, DB)" quantization implementation in the frequency domain

This paper compares between three image compression Discrete Cosine Transform (DCT) and Wavelet Transform (Haar, DB), and combines the two of them. The new block incorporates the DCT benefits in which it functions flawlessly with highly correlated data. In addition to, the benefits of the transformation of Haar that provide preferable ends for images exhibiting rapid gradient variations. DCT has been implemented to the upper left corner of the block. Haar has been applied to the remaining parts of the block. The whole process introduces an error in the signal which increases as we raise the value of QP. Finally, is the inverse transform which takes the quantized/de-quantized coefficients and reconstruct the values in the pixel domain. This was done by using proper MATLAB function
Socialization of children in difficult life situations: The polyartistic approach in modern educational space

The research was aimed at analyzing the socialization of children in difficult life situations through the use of polyartistic approach. The research hypothesis was as follows: polyartistic approach to the socialization of children in difficult life situations was a conceptual idea of the need to include a child in various types of artistic activity, which was implemented into practice through a complex of psychological and pedagogical conditions. The main research method was the questionnaire survey of teachers and children, analysis of the products of children’s artistic and creative activities. In addition, the following methods were used: pedagogical observation, conversations; pedagogical experiment, theoretical and methodological interpretation of the pedagogical experiment; methods of statistical processing of research results. It was determined that the complex of psychological and pedagogical conditions, ensuring the implementation of the polyartistic approach in the socialization of children in difficult life situations, included organizational, methodological, educational and personnel conditions; lack of one of the conditions led to the impossibility of realizing the polyartistic approach. The study demonstrated the foundational role of socializing children in difficult life situations through the means of art in primary and secondary schools, additional artistic education, social rehabilitation centers for minors, and other institutions. As an example, the article examined the experience of teachers in the context of the dialogue between two art forms – specifically, animation and school theater through which children created artistic images expressing certain aesthetic ideas and feelings thus promoting not only creative activity but also the formation of children’s artistic interests.
학생 시선으로 미래교육 바라보기 : 학생 주도성 프로젝트를 중심으로

This study investigated problems and prospects of high school education based on the viewpoints of students and explored application possibilities of the student agency driven project in high school education. For this purpose, researchers devised the Student Agency Driven Action Research (SADAR) as a research method. Students in nine high schools in Kyunggi province participated in the project and qualitative data were collected and analyzed. Through the project, five categories of current situations and visions of high school education were found. The categories were: “the purpose of learning and the meaning of school,”“the content and process of learning,”“the way of learning, the way of evaluation, and the future,” and “the voice of students’ life in school.” This study provides botha possible research model which strengthens student agency in education research, and implications for future high school education.
The image of an actor in the modern theater

The purpose of the study is to determine the main features of the appearance of the actor and show that he is an indispensable carrier of today’s stage art. In the article, focusing on the skill of the actor, universal human values and the specifics of theatrical art are also considered. The content of the concept of the phrase «Theater for people» is determined and demonstrated in the actor’s special mission: to convey the feelings, excitement of a living person and give true feelings of the whole atmosphere of what is happening. The idea is substantiated that nothing can overshadow the game of a professional actor, as a material of live communication between him and the audience, allowing you to feel all the nuances of the action. Scientific novelty lies in the study of the degeneration and development of acting skills against the backdrop of a developing age of technology and the introduction of innovative special effects. As a result, the fact that innovative technologies should help the viewer understand the essence of the production is highlighted and characterized, and the actor’s skill should be directed towards the universal values of the viewer.
The different ways to write publishable research articles: An exploration using automated language processing tools

espanolLa bibliografia especializada apenas se ha adentrado en el analisis de los diferentes perfiles linguisticos de los articulos de investigacion. El presente trabajo explora los rasgos linguisticos y la variacion que presentan 360 articulos de investigacion publicados pertenecientes a dos disciplinas de ciencias puras (Biologia y Medicina) a partir de dos herramientas de procesamiento automatico del lenguaje y un enfoque de analisis cluster. Los resultados obtenidos revelan la existencia de cinco perfiles que se caracterizan por su uso de diferentes combinaciones de ciertos rasgos linguisticos. Los perfiles identificados no solo varian en funcion de la disciplina, sino que tambien se ha detectado variacion dentro de una misma disciplina. Esa variacion interna a la disciplina representa diferentes perfiles que parecen encarnan diversos modos de redaccion a los que los investigadores podrian recurrir para producir articulos de investigacion publicables. Con este estudio se pretende cubrir esta laguna de investigacion y ofrecer una nueva mirada que ayude a profundizar en la comprension de los rasgos linguisticos y de la variacion de los articulos de investigacion EnglishThe exploration of linguistic profiles of research articles (rAs) has been underrepresented in the existing literature. This study utilizes two automated language processing tools and a cluster analysis approach to explore linguistic features and variation of published research articles (N=360) in two hard science disciplines (i.e., Biology and Medicine). Findings show five different profiles characterized by their use of distinct combinations of linguistic features. The identified profiles not only vary between the two disciplines, but also within each discipline. The distinct profiles within each discipline represent the potentially different ways for researchers to write publishable research articles. The study fills the research gap and contributes to a new understanding of linguistic features and variation of rAs
Amplitude-Phase Modulated CVQKD Protocol

Here we report the performance of a discrete modulated CVQKD protocol based on eight and sixteen state optimal APK constellations with pure loss quantum channel transmission. Our constellations use the same amplitudes and state probability as in an optimal four-state unidimensional constellation model and applies amplitude/phase modulation on the quadratures of coherent states. We compare the obtained results with the performance of conventional $m$-PSK and $m$-APK constellations. The results show that the proposed constellations applied to CVQKD protocol outperforms the conventional PSK and APK based protocols in both secret key rate and link distance. In special, our protocol is able to accomplish viable SKR's in low transmittance regime, $\tau<0.2$.
SYN, SYN-ACK, and beyond

This paper aims to discuss the best practices of how to introduce students to the world of computer networks, network protocols, and network security using practical and hands-on methods. We focus ...
RDA : Catalog Discovery Tool

As part of the practicum experience, the practicum student focused on collection management, reference, and cataloging at the University of Chicago's Regenstein Library under the supervisor of music bibliographer Scott Landvatter and music cataloger Kevin Kishimoto. Collection management, reference, and cataloging are essential core competencies of a library and are especially critical in managing a library’s music collection. This paper focuses on “music cataloging,” an area that the student concentrated on during the second half of the practicum. The first half of the practicum was mostly based on music collection management, particularly preservation and reference. As a result of the experiences during this practicum (within the three month period), the student acknowledges that a library in which librarians possess cataloging skills has a significant impact on improving the public’s view of records. Understanding the challenges that arise in cataloging and having an awareness of best practices in dealing with these challenges can significantly enhance the level of service that a librarian can provide to library patrons. Within the cataloging scope, this paper's primary emphasis is to show how Resource Description and Access (RDA) that is the new data formulating system today, changed the public's view of the library catalog. Looking behind catalogs' scenes, understanding how information is recorded in these catalogs, and knowing the kind of information they contain made it possible for this student to understand providing better access to library users.
Enhancing Security And Privacy For E-Commerce Database

The cloud computing are the services offered   in the Internet and everyone using   the cloud services and more over every android user using the database. All users are having some confidential information. Proposed system provides security for the information in databases by implementing the one of the best algorithms and these algorithms may provide more security. Unauthorized people may access confidential information without any permission. The popular security algorithms are AES (Advanced encryption standard), DES (Data encryption standard, CES (cipher block standard ,3DES, RSA. These algorithms we have encrypt the data and decrypt them to protect from the attack or any Phishing attacks or any vulnerability to keep our information safe. But the attackers can break present technologies and access the information. In this kind of scenario, at least sensitive private information should not be disclosed. Hence the proposed system concentrates on the privacy of an information and considers the biometric security.
Multifactor Authentication On Mobile Phones Using Existing BrightPass

The use of smart phones have increased rapidly in the last few years.Due to the emerging technology, Internet is a wide choice for various transactions such as e-business, e-commerce, e-banking .For this smart phones become very useful devices, so these phones are interesting targets for hackers. To maintain the extraordinary level of trust industry should adopt strong authentication mechanism . Earlier single factor and two factor mechanism are vulnerable to malware attack. More advanced malware can easily bypass OTP based two factor authentication by intercepting the OTP. The OTP which comes from SMS can easily be stolen. Further, SMS costs and delays in SMS are drawbacks in this system. .There is need to develop a system which generates secure OTP on the mobile device itself which is secure from attackers. With the help of out of band authentication which uses two different communication channels for authentication system lessen the probability of attack on the system. So, to enhance the security in transactions we are going propose a system which generates OTP on the mobile itself with the help of lie sequence in the BrightPass .We are using nested hashing function to generate an OTP which adds complexity for an attacker. With the help two channels such as internet and mobile phones the chances of attack on our system is very low. Our proposed system presents a multi-factor authentication in which a users device produces a PIN from seed from various parameters. This proposed system reduces the limitations of the SMS system.
An Investigation of the Performance of Three Forecasts Combining Schemes on Solar Radiation Data

This article compared the performance of three forecasts combining schemes (mean, median and trimmed mean) on solar radiation data. Solar radiation data covering January 2003 to December 2016 were collected from the National Cereals Research Institute, Baddegi, Bida, Niger State, Nigeria. A total of five forecasting models (Multiplicative and additive versions of decomposition model, multiplicative and additive versions of Holt-Winter’s model, and SARIMA model) were fitted. A comparison of the three forecasting schemes on out-of-sampling forecast performance on the basis of mean square error showed that the mean scheme performed best with mean square error of 0.85227, followed by trimmed mean with mean square error of 0.88711 and then the median with mean squared error of 1.0849564. The article concluded supremacy of the mean as forecasts combining scheme over the median and trimmed mean for the solar radiation data as far as the applied forecasting methods are concerned.
Online target tracking via deep convolutional network approach

There is a useful approach for multiple objects tracking easy and efficient that is called simple online and real time tracking(SORT). SORT algorithm performance can be improved by adding visual information. This can reduce the number of identity switches. Because the main framework of the algorithm has a lot of computational complexity, a deep network has been used that is offline on a large data set of trained pedestrians. the focus of this article is on the architecture of this deep network in order to extract more and higher quality visual information that can help the object recognition algorithm. The paper also used a particle filter instead of a Kalman filter to improve data association performance. We tested our proposed method on two standard datasets, MOT16 and MOT17, and compared its performance with other available methods. The results show that the tracking accuracy(52.2) on the MOT17 dataset is improved compared to the existing methods in this field. Experimental evaluation shows that our proposed architecture improves the number of identity switches and ideally tracks goals in complex environments.
ZeroWaste Dataset: Towards Automated Waste Recycling

Less than 35% of recyclable waste is being actually recycled in the US, which leads to increased soil and sea pollution and is one of the major concerns of environmental researchers as well as the common public. At the heart of the problem is the inefficiencies of the waste sorting process (separating paper, plastic, metal, glass, etc.) due to the extremely complex and cluttered nature of the waste stream. Automated waste detection strategies have a great potential to enable more efficient, reliable and safer waste sorting practices, but the literature lacks comprehensive datasets and methodology for the industrial waste sorting solutions. In this paper, we take a step towards computer-aided waste detection and present the first in-the-wild industrial-grade waste detection and segmentation dataset, ZeroWaste. This dataset contains over1800fully segmented video frames collected from a real waste sorting plant along with waste material labels for training and evaluation of the segmentation methods, as well as over6000unlabeled frames that can be further used for semi-supervised and self-supervised learning techniques. ZeroWaste also provides frames of the conveyor belt before and after the sorting process, comprising a novel setup that can be used for weakly-supervised segmentation. We present baselines for fully-, semi- and weakly-supervised segmentation methods. Our experimental results demonstrate that state-of-the-art segmentation methods struggle to correctly detect and classify target objects which suggests the challenging nature of our proposed in-the-wild dataset. We believe that ZeroWastewill catalyze research in object detection and semantic segmentation in extreme clutter as well as applications in the recycling domain. Our project page can be found athttp://ai.this http URL.
“PREDISPOSICIÓN DE LA FAMILIA GUAYANESA POR LA INFLUENCIA DEL COVID-19 “

OVID-19 has become a disease where we must live with it, the world has changed our way of life in all its dimensions: political, social and economic. It will no longer be the same from this virus. Social networks are currently considered a new way to obtain invaluable data due to the Pandemic. We can interact and obtain information in a virtual way much faster and in real time. The research is relational, prospective, analytical and field-based, based on taking a sample of 67 people who had cell phones, 9 students fromUCAB and 58 people from Ciudad Guayana, this was done via questionnaire by WhatsApp, from the which responded 100%. The purpose of the investigation was to observe if there was a predilection within the family group, with the premise that some member of the family was infected with COVID-19. For this, the research was supported by sociometry as a working tool to evaluate acceptance or rejection as an efficient study element for interaction groups. The results did not report a predilection for any particular member of the families studied.
재한 신화교(新華僑)의 언어태도와 자녀 대상 다중언어 교육 인식에 관한 연구

The paper interviewed five new overseas Chinese with children living in Korea. Through the interview, we learned about the language attitudes of the new overseas Chinese, multilingual educational awareness of children, and the efforts made to educate their children in multilingualism.The mother tongue of the new overseas Chinese is Chinese. Because they started learning English when they were young in China, English can also. They came to Korea and studied Korean again. So most of the new overseas Chinese are multilingual users of three languages. But the new overseas Chinese have different attitudes toward these three languages. They are very proud to speak Chinese. They have complex feelings about English. Because they have lived in Korea for a long time and have good feelings for Korean.They hope their children will learn Chinese and learn it as their mother tongue. But at the same time, they also emphasize the importance of English. They think English is an international language. So their own children must know English. Because they live in Korea. So they also teach their children Korean. They think their children will be able to master these three languages in the future. They have put a lot of effort into their children’s multilingual education. Some people send their children to overseas Chinese schools or international schools and return to China regularly. Some parents also try to create a multilingual environment for their children at home.(Yonsei University)
Development of russian speaking skills in primary school students

The article is based on the concepts of educational conditions, theories that scientifically substantiate the objective laws of learning a foreign language in the natural environment and its study in the school environment in the modern methodology, the goals and objectives of teaching Russian in primary school. Also, there are discussed in this article: practical, educational, pedagogical and developmental goals of teaching Russian in the primary grades, Russian teaching aids in the primary grades, teaching content, language material, language unit, topic of conversation, and the qualifications and skills of the teacher.
융합형 안티에이징케어 프로그램 개발에 관한 연구

The purpose of this study is to develop an anti-aging care program as part of the industry-academia-academic cooperation enhancement (LINC+) project, thereby establishing an educational process for fostering convergence anti-aging care experts and establishing a foundation for promoting acquisition and start-up through the development of start-up contents. the results of the study are as follows. With expert advice, we have developed a convergence anti-aging care program and an education program, a TLS aging defense care program, and a fusion anti-aging care professional talent program. In particular, it is thought that it will be a profit-making model for start-up contents for students and sport-related workers who are preparing for start-ups. Apart from the limitation of beauty service, various experience programs, education programs targeting students, and start-up with other industries are expected.
Opinión de estudiantes de educación superior sobre la importancia del curso de tecnología educativa para la adquisición de habilidades digitales.

The sixth chapter reviews the topic of digital skills from the perspective of university students who study educational technology.
Fine-grained Out-of-Distribution Detection with Mixup Outlier Exposure.

Enabling out-of-distribution (OOD) detection for DNNs is critical for their safe and reliable operation in the open world. Unfortunately, current works in both methodology and evaluation focus on rather contrived detection problems, and only consider a coarse level of granularity w.r.t.: 1) the in-distribution (ID) classes, and 2) the OOD data's closeness to the ID data. We posit that such settings may be poor approximations of many real-world tasks that are naturally fine-grained (e.g., bird species classification), and thus the reported detection abilities may be over-estimates. Differently, in this work we make granularity a top priority and focus on fine-grained OOD detection. We start by carefully constructing five novel fine-grained test environments in which existing methods are shown to have difficulties. We then propose a new DNN training algorithm, Mixup Outlier Exposure (MixupOE), which leverages an outlier distribution and principles from vicinal risk minimization. Finally, we perform extensive experiments and analyses in our custom test environments and demonstrate that MixupOE can consistently improve fine-grained detection performance, establishing a strong baseline in these more realistic and challenging OOD detection settings.
Research Guides: English Composition: Fun Home (21:355:102): Overview

This course guide was created specifically for Instructor Spencer Williams' Spring 2021 ENG 102 classes.