Reviewerly/exHarmony huggingface dataset:
AMISS: A Methodology for the Refinement of RPC

Unified scalable technology have led to many confirmed advances, including red-black trees and active networks. Given the current status of multimodal models, analysts predictably desire the analysis of Smalltalk. we present a random tool for vi-sualizing agents , which we call AMISS
<i>Intavolature</i> and the Techniques of Instruments

Abstract The notion of multiple voices coming together in harmony was deeply engrained in European ideas of fine music. For little hands playing a harpsichord, to capture the effect of multiple voices required some practice and special techniques. Intavolature were teaching pieces for beginning keyboard players. These pieces both introduced the basics of keyboard technique and demonstrated how to perform the most common schemas. Intavolature also provide us today with models for what the texture and level of difficulty might have been for realizations of partimenti.
On the properties of the classifier in case of small deviations of blood parameters from the norm

A mathematical model is described and implemented, intended for the numerical study of the ability of the statistical classification method to interpolate and extrapolate. The classifier developed by the authors is based on the polynomial-regression approach and has probabilistic estimates. It is used to assess the state of human health based on the parameters of laboratory analysis of peripheral blood. The blood base is considered with a small deviation from the norm.
4998 Published By: Blue Eyes Intelligence Engineering &amp; Sciences Publication Retrieval Number: F8955038620/2020©BEIESP DOI:10.35940/ijrte.F8955.038620 Journal Website: www.ijrte.org An Unimpeachable System for Providing Credit Scores using Blockchain in Educational Institutions

Ensuring security in every aspect of transactions the primary task of today’s world. Blockchain Technology is used to ensure that digital assets cannot be modified and are transparent by using decentralized hashing techniques. In today’s world, Higher Educational Institutions are competing with others by means of accreditation. As a part of this process, the best outgoing student is awarded based on his/her performance throughout the four years attributed to academics, co-curricular and extra-curricular activities. The proposed system is a multifaceted application which works on the basis of providing credits. This system is implemented using Blockchain so that a ledger is distributed among all the users connected in the network, which ensures data manipulation is impossible. Based on the number of credits a student has gained, they will be provided with certain benefits. A staff is provided with administrative access to the application as they are entitled to generate a unique ID for every student. Staff also verifies the authenticity of the certificates that are being uploaded by the students which are hashed using MD5 and are appended to the existing chain. Each block in the chain is hashed using SHA-256 algorithm. A leaderboard can be viewed by the students along with the provision to view their individual scores. The student who tops the leaderboard at the end of the final year will be the best outgoing student of that batch.
Regulatory concerns

How granular regulatory requirements might be attached to different cryptoexchange models is discussed. The decentralized cryptoexchange model presents particular problems for the regulatory need to identify responsibility and establish meaningful accountability and suggestions are made as to how these issues can be addressed. The current regulatory gaps concerning market abuse laws that apply to securities but not to cryptoassets are noted, as is the emergence of a new class of cryptointermediaries. The foregoing presents issues since they represent the absent of the basic building blocks of regulatory oversight and conduct management. At the same time, intermediaries from traditional markets, who are well regulated, may not be able to participate in the secondary market for cryptoassets due to the framing of their regulatory obligations.
Image Steganography by Modified Simple Linear Iterative Clustering

Steganography is an information security technique that consists of concealing secret data into digital medias including videos, texts, network protocols and images. In this paper, a steganography method to dissimulate the secret information in gray-scale images is proposed; the dissimulation is adapted to the cover image’s texture, data is hidden in the edge areas. The edge pixels are selected by over-segmentation using Modified Simple Linear Iterative Clustering (M-SLIC). This algorithm allows to decompose the cover image into K regions which we call superpixels. The image’s texture and the amount of the secret data are the factors that help to determine the value of the parameter K. Choosing the pixels of complex regions to conceal secret information is due to the fact that the human visual system is designed to notice changes in the pixels of smooth areas. Therefore, edge areas tolerate larger changes than smooth areas without causing detectable distortions. Experiment on a large set of images were carried out; results illustrate the good performance of the proposed work in terms of capacity, security and imperceptibility in comparison to recent works.
RODA DE CONVERSA ONLINE SOBRE REIKI EM TEMPOS DE PANDEMIA: UM RELATO DE EXPERIÊNCIA

The Integrative and Complementary Practices in Health former a group of therapies that are not part of the conventional ones, thus contributing by placing the individual as the center of the process.When applying Reiki, universal energy is used and it promotes healing through emotional and relaxing activation, helping the body in the search for a balance providing potential to promote the results of promotion and rehabilitation in the individual's life.It aims to report the experience of academics who develop a social action project in the midst of a COVID-19 pandemic.The practice of Reiki was carried out through an online meeting through the google meet platform.The study revealed that even digital technologies made it possible to produce health and care, driving a search for complete biopsychosocial well-being during the lived scenario.
Reviewer Acknowledgements

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 8, Number 2 Andrey Kudryavtsev, The Max Stern Yezreel Valley Academic College, IsraelAyoub Taha Sidahmed, SIU, SudanJose Solana Ibañez, Centro Universitario de la Defensa, SpainMurad Harasheh, University of Milan-Bicocca, ItalyPayal Chadha, University of Wales Prifysgol Cymru, KuwaitRajeev Rana, APB Govt. P.G. College, IndiaRamona Orastean, Lucian Blaga University of Sibiu, RomaniaRuhet Genc, Turkish-German University, TurkeyVictoria Cociug, Academy of Sciences of Moldova, Moldova Nikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com
Quality of Experience Assessment of Video Streaming

This study aims to determine the user’s satisfaction level of online streaming by using different web browsers. At the client layer, the assessment of the user’s QoE is conducted by evaluating the performance of three web browsers (Google Chrome, Mozilla Firefox, and Internet Explorer). We took the subjective test by conducting different experiments with the users and ask the users to assign ratings on the provided questionnaires, and from those ratings, we calculated results in the form of Mean Opinion Score.
Measuring Broader Impact of NSF-funded Project on Software Engineering Education

The body of knowledge appropriate for undergraduate software engineering program encompasses both theoretical and practical aspects.The knowledge areas (KA) in the 2014 IEEE/ACM Software Engineering Curriculum Guidelines are imperative for undergraduate education and the subsequent professional career.However, due to the lack of active learning tools and the dearth of engaged student learning, software engineering education may not be effectively delivered, resulting in non-coverage by the instructors or non-retention by the students of the required software engineering knowledge area.A three years NSF TUES grant awarded to the authors institute in 2013 has specifically addressed these pedagogical issues.The project which involved partnerships in academia and industry developed 44 delivery contact hours of new Active Learning Tools, deployed to enhance knowledge delivery and retention in Software Verification and Validation (SV&V), specifically in these four focus areas: requirements management, software review, configuration management, and software testing.In this paper the authors address NSF broader impacts in relation to the project.The paper describes the Active Learning Tools and briefly discusses outcome assessments.It presents student testimonials on how the Active Learning Tools effectively helped them understand knowledge areas.The mobilization of industry and academic partners, the execution of project tasks, the iterative framework used for the development, and the flipped classroom delivery strategy used for engaged learning are also discussed.The paper presents the impact achieved through effective dissemination via workshops and project websites to 31 academic implementation partner institutions, as well as scholarly publications.In conclusion the paper discusses the broader impacts of the NSF funded project on software verification and validation curriculum in undergraduate software engineering education.
Petrographic Characterization of Hydrothermal Gold Deposits in Adi Gozomo Area, Northwestern Tigray, Ethiopia

Gold mineralization in Adi Gozomo area in northwestern Ethiopia was studied through petrographic analysis from both surface and core rock samples. Mineralization is associated with Neoproterozoic basement rocks comprised of metavolcanic, metasedimentary rocks and intrusives. Four phases of deformation and development of NE-SW foliation and shear zones were some of the common geological structures. The hydrothermal gold deposit s cramped to shear zones, 2nd generation quartz veins, 4th phase of deformation, silisifed and carbonatized alteration zone. Based on decreasing order of abundance the ore assemblage of the area includes pyrite, chalcopyrite, sphalerite, pyrrhotite, arsenopyrite and gold. The petrographic data indicates that the deposit is hydrothermal vein related type and an island arc tectonic setting. The mineralization is comparable with other known orogenic sulfide deposit types of the country in particular and Arabian-Nubian Shield in general.
Annihilation of Traditional Union through Ktmax-Maxam Algorithm in Disorder Mining

Nowadays web contains many identical documents. Many efforts made towards in search engines with identical detection algorithms, still the retrieved web documents with redundant link. The proposed system, we are effectively identifying and minimize the redundant information from web documents. We introduce the degree based KTMAX-MAXAM algorithm filters out the redundant information. Using proposed KTMAX-MAXAM algorithm accessing of web pages with reduced time and space complexity.
INTERACTIVE POTENTIAL OF NEWS NARRATIVES IN COMMUNITIES FORMED AROUND NEWS MEDIA

The paper describes how the narrative features of highly shared news publications allow predicting the strength of their influence on social media communities.The Interactive potential was used as an indicator for measuring the strength of influence of news, which were classified on four levels of inner and external narrative structure.News stories published by popular Ukrainian media were taken as examples to show that the share of publications with inner narrative is low among high-influential articles, and the same holds for the share of publications that are parts of long or short media stories.In contrast, the articles, which could be embedded into the national narrative, and publications with certain issues of media agenda more often have high influence.
An Advance Task Manager Application for Android Devices

The huge growth of the mobile industry leads to more efficient software to be developed in a mobile phone or android platform. the mobile software and games are now powerful to compete with computer’s software but as it seems the problems will also to be carried out from this enhancement.problems in the sense bug or misbehave of any software that can hang your device.so the Task manager would be needed for mobile devices too, where we can monitor what are all the applications are running and the complete package of informa- tion in one single Application. The Task Manager application shows all the device’s active applications, along with information about:task manager will show how much processor power and cores the app is consuming, and the RAM item shows how much memory of RAM the app occupies. You can use Task Manager to end or turn off tasks that are taking too much CPU time or memory or that any bug containing app. You can click applications you want to stop and then click End Apps button. This project will provide the Active applications ( Applications that are currently running on the device), Installed (Applications that have been installed from the Play Store or any third party provider) RAM manager (Random Access Memory), Storage (Available memory storage), Network uses(Amount of internet data used), GPU ( graphics processing unit), Screen time (time spend on app in day), Internet Speed(speed of connected in- ternet source) and Temperature(temperature of the whole device).
Detection of the Sickle Cell Anaemia Disease by Simple and Efficient Way

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
CIRC METHOD FOR IMPROVING TEXT ACTIVITIES AND ABILITIES PIWULANGAN SERAT WULANGREH PUPUH GAMBUH

The research aims to find out: (1) the activeness of student learning during the learning process of Serat Wulangreh Pupuh Gambuh using the CIRC method; (2) student learning outcomes in learning the text of Serat Wulangreh Pupuh Gambuh using CIRC method. This type of research is Classroom Action Research (CAR), carried out on students of class VIII of SMP Negeri 2 Ambal Kebumen in 2019/2020 Academic Year. Data collection techniques using: observation, interviews, and assignments. The data validity technique uses source triangulation and method triangulation. Data analysis techniques using interactive and qualitative descriptive model analysis. The results of the study concluded: (1) CIRC learning methods are able to increase student learning activities during the teaching-learning process takes place. This is because students are divided into groups and given assignments in groups. This learning method encourages students to learn to work together that are constructive, respect each other, and avoid egoism that tends to show themselves. In cycle I students who showed high activity were 78% and in cycle II it reached 100%; (2) The CIRC learning method makes it easy for students to understand the contents of the Serat Wulangreh Pupuh Gambuh.
Analysis of Data Breaches and Its impact on Organizations

Data breaches are one biggest problem for the companies, costing an average of approximately four million dollars per breach ( 2019), which has shown an increased rate of 12% from 2014 to 2019.Past research on data breaches have mainly focused on two points.They are: (i) Striving to slash the chance of a data breach by addressing every employee by monitoring his / her behavior (ii) considering the impacts of data breaches on organizations.This paper deals with
Parsing and Creating XML Documents with StAX

Java also includes the StAX API for parsing and creating XML documents. Chapter 4 introduces you to StAX.
AUTOMATIC MONITORING SYSTEM OF ENERGY-SAVING AGRICULTURAL PRODUCTION EQUIPMENT USING WIRELESS SENSOR NETWORK

In order to resolve the problem of traditional wireless sensor and wired sensor in an operation and to improve the reliability and practicability of the automatic monitoring system of agricultural production equipment; an energy-saving automatic monitoring system of agricultural production equipment (WSN-APEAM) based on wireless sensor network (WSN) is proposed in this study.In this research, sink of WSN-APEAM system is studied.Sensor nodes and actuators of WSN-FAEAM system are designed.The MAC layer protocol and routing protocol of WSN-APEAM system and also the calibration engine of WSN-APEAM system are designed and implemented.The upper computer management software of WSN-APEAM system is developed.The security framework of WSN-APEAM system is nominated.In the laboratory of Greenhouse, the system is carried out for test.Experiments show that the service cycle of the sensor networks can take more than three months.Sensor nodes can build multi hop-sensor networks in two minutes by wireless Ad Hoc.The response time of the actuator to various control instructions is less than 15 seconds.All kinds of sensing data can be transmitted to the remote upper computer in real time.To access all kinds of sensing data through the internet/intranet on the upper computer, It can be operated.In this regard, the WSN-APEAM system has the advantages of high stability, low energy consumption, low cost, high accuracy, good robustness, convenient installation, and flexible expansion, which analyze the full coverage monitoring of the monitoring area.
Implementation of Convolutional Neural Network to Realize a Real Time Emotion based Music Player

The ability to represent the world as a nested hierarchy of concepts, by defining each concept in relation to abstract representations has promoted deep learning to be widely used as a processing model for solving data science tasks. The era of digitalization has allowed the deep learning technology to flourish and machines with the ability to analyse huge amount of complex data would now be able to give progressively exact outcomes due to its supremacy in terms of accuracy when trained with massive amount of data. Convolutional Neural Networks(CNN), being a deep neural network with their ability to develop an internal representation of a two-dimensional image, allows the model to learn position and scale invariant structures in the data, which is important when working with images. For realizing emotion aware applications, the system must be highly accurate and in real time. In this paper, we provide the design and implementation details of a real time emotion based music player using CNN with the aim to reduce human effort and invoke the feasibility of Human Computer interaction(HCI).
Algorithms for General Nonconvex Problems

In many optimization problems of practical importance, the objective function or constraints or both are nonconvex. For these problems, the algorithms developed for convex problems in previous chapters are not directly applicable. In this chapter we refer to these problems as general optimization problems. A methodology that is particularly effective in dealing with a general optimization problem is to tackle it sequentially whereby a convex model is formulated, often called a convex subproblem, that well approximates the original problem in a local region of the parameter space. The subproblem is then solved using an appropriate convex algorithm and the solution obtained can then be used as the initialization of the next convex subproblem.
Sentiment Access of Movie Research

Assumption Analysis is that the strategy for determinative whether a piece of composing is certain or negative. it is additionally called supposition mining, clarification the feeling or point of view of a speaker. a standard use case for this innovation is to get anyway people feel two or three unequivocal subject. upheld the instructing set, the AI calculations group the audits to be certain, negative or nonpartisan. For the most part, 5 calculations arwont to produced a vote to make a call identifying with the estimation of the survey. The estimation with greater part of votes is considered to be the notion of the audit. during this paper we tend to ar proposing an incredibly right model of assumption investigation of most recent surveys of coming motion pictures. Supposition examination framework executes various phonetic correspondence process procedures for record pre-handling and have extraction. With the help of highlight vector and classifiers like Naive Thomas Bayes (NB), Support Vector Machine (SVM) and providing Regression, we tend to ar appropriately ordering these surveys as positive or negative to concede supposition of each audit.
Guitar Genius: How Les Paul Engineered the Solid-Body Electric Guitar and Rocked the World by Kim Tomsic

Reviewed by: Guitar Genius: How Les Paul Engineered the Solid-Body Electric Guitar and Rocked the World by Kim Tomsic Elizabeth Bush Tomsic, Kim Guitar Genius: How Les Paul Engineered the Solid-Body Electric Guitar and Rocked the World; illus. by Brett Helquist. Chronicle, 2019 56p Trade ed. ISBN 978-1-4521-5919-5 $17.99 E-book ed. ISBN 978-1-4521-8018-2 $11.99 Reviewed from galleys Ad 6-9 yrs Lester Polsfuss’ debut in the Waukesha, Wisconsin school music room didn’t bode well for his future; the piano teacher advised his parents in a note, “Your boy, Lester, will never learn music, so save your money.” Encouraged by his mother nonetheless, Les engaged in experiments on instruments alongside his performance practice, figuring out how to record and amplify music at home with repurposed castoffs and a toolbox. When his local career started, the need to project sound further became critical, and Les jiggered up a guitar from strings and a metal rail—too heavy to be practical, but successful in controlling vibration and feedback. Several iterations later, his guitar was a solid-body, wooden affair with enough cosmetic work to be recognizable to his audience (“The crowd went wild”). Tomsic’s text outlines the achievement of a kid whose invention did, in fact, influence music history. However, she stretches simplified explanations around this particular invention to unnecessary length, and she also relegates parallel work done on solid-state guitars to endnotes, along with many of Paul’s other engineering techniques, such as multitrack recording and overdubbing, that were at least as influential on the music this title’s audience listens to today. Helquist’s oils bubble with enthusiasm and frequently zoom in on the bits and pieces young Les tinkered with in the 1920s, making this a good match for kids with a DIY bent. A list of works cited is appended. [End Page 316] Copyright © 2019 The Board of Trustees of the University of Illinois