Reviewerly/exHarmony huggingface dataset:
Partimenti and the Power of Improvisation

Abstract Like a lead sheet in popular music, a partimento gives a performer a single line of music to aid in the performance of a multivoice composition. Lead sheets provide a simplified melody and symbols for chords. Partimenti provide a bass and sometimes figured-bass numbers to indicate specific intervals. In both cases the reconstruction works well if the performer has a good knowledge of the style of music involved and a memory for the kinds of musical patterns needed. In Naples, children played the written partimento with their left hands at a small harpsichord. With their right hands they improvised the types of melodies, chords, and counterpoints implied by the bass. Beginners may have improvised mostly simple chords. Intermediate-level students improvised melodies and counterpoints. And advanced students developed highly contrapuntal realizations that included partimento fugues.
Thread Programming

In today’s world, everyone is familiar with multitasking, which simply indicates that you can do multiple things in parallel. Consider a common scenario. For example, as I am writing this chapter using Microsoft Word on my laptop, I’m listening to a very calm piece of music in Windows Media Player. In much the same way, you can execute different methods in a C# application simultaneously. To implement this concept, you need to be familiar with multithreading.
Efficient Denoising by Feature Recovery from Residual Noise in Spatial Domain

The growth of image processing techniques has lead to limitless applications of imaging in various fields of medical, remote sensing. However, the unpreventable problem of noise contamination arises during the processing of images. As the noise content in an image rises, it becomes difficult to denoise an image while preserving high-frequency edge features as well as low frequency smooth features. Minimal artefacts and better preservation of geometrical details such as edges and texture reflects efficient image reconstruction. Since many State-of-the-art denoising algorithms have been reported in the literature, and there is always a compromise between noise removal and feature preservation. A novel approach for efficient noise removal along with recovery of fine features is being proposed. The idea behind denoising approach is the use of hybridization of spatial domain filters where base layer image and residual image are extracted and processed separately to mitigate the prevalence of artefacts and preserve image content. The performance of the proposed method is evaluated both quantitatively as well as qualitatively, and it is found that the proposed method could outperform existing denoising techniques.
Quantum Photonic Neural Networks

We propose an architecture for next generation quantum photonic processors, which maps the features of neural networks into the quantum optical domain. Through numerical simulation we demonstrate a range of new quantum information processing tasks.
Suggestion

Despite the promising achievements introduced in the previous chapters, there are still issues that hinder the development of heterogeneous facial analysis and synthesis. In this chapter, we give a discussion on these issues as well as research opportunities in the future. The discussion surrounds mainly two topics. One is from the perspective of data resources, the other lies in the exploitation of methods.
Third International Workshop on Experiences and Empirical Studies on Software Reuse (WEESR 2020)

The Workshop on Experiences and Empirical Studies on Software Reuse (WEESR) aims to allow researchers and practitioners discuss in-progress research regarding experiences and empirical studies applying reuse techniques in non-academic environments. The third edition of this workshop, the WEESR 2020, was co-located with the Software Product Lines Conference at 2020 (SPLC'20). There, attendants discussed three original papers and a journal-first paper presenting empirical studies, reuse in companies not aware of software product lines, systematic reviews and evaluations of companies interested on adopting product lines. In addition, we have two invited talks of Sten Grüner and Thorsten Berger discussing experiences and challenges found in companies adopting SPLE for their products.
The Enlightenment of Information Technology Development to Education——Based on embodied cognition theory in psychology

In recent years, with the continuous development of information technology, there are also new opportunities and challenges in the education field. Education informatization is an important content of education modernization. The integration of emerging information technologies such as the Internet, big data, and artificial intelligence with education and teaching has not only changed the traditional educational concepts and methods, but also challenged teachers how to improve teaching. In addition to the current psychological research on embodied cognition theory, human body experience accounts for a large part of learning. Different feelings in different parts will make understanding more comprehensive and faster. Therefore, through new multimedia interactive devices, VR, AR, 3D, The new generation of information technology such as big data, combined with embodied cognition, has developed "VR + HapticV" as an emerging teaching tool and method, which aims to improve the efficiency of learners. Based on the combination of embodied cognition theory and emerging information technology, the relevant teaching of physical experience is carried out, and the learning effect is improved while paying attention to individual creativity to better achieve the goal of quality education.
Library websites of Universities in West Bengal: An evaluative study

The paper is mainly web content survey based on library web pages of state-aided universities established up to the year 2008 in West Bengal, during study period October 2020 to January 2021. During this process sixteen state-aided university websites or webpage were appeared under this investigation. But three sate-aided universities did not have library webpage or not available content information from their university websites which were not selected for the study. Hence the study covered thirteen state-aided university library websites in West Bengal. The library websites of studied universities were identifed from Google, Wikipedia, and other E-Resources. Jadavpur University (JU) furnished the greatest number of information in their library website obtained 22 points score which is the highest points among the thirteen state aided universities in West Bengal, followed by Alia University (AU) with 21 points as 2nd highest and Vidyasagar University (VU) with 20 points as 3rd highest. Out of thirteen university libraries, none of the university library website obtained ‘Excellent’ and ‘Very Good/Above Average’ ranked of content analysis on library websites. Seven university libraries are ranked with ‘Poor/Below Average’. The university library websites of two universities are ranked with ‘Very Poor/Need Improvement’. The principal aim of the study is to lead the Library & Information Science Professionals in improving their existing library websites.
Detection of Financial Fraud using Codetect Framework

Financial Fraud, for example, tax evasion, is known to be a genuine procedure of wrongdoing that makes misguidedly got assets go to psychological warfare or other crime. This sort of criminal operations include complex systems of exchange and money related exchanges, which make it hard to recognize the extortion elements and find the highlights of fraud. Luckily, exchanging/exchange system and highlights of elements in the system can be developed from the mind boggling systems of exchange and money related exchanges. Exchanging/exchange system uncovers the association among substances and consequently irregularity discovery on exchanging systems can uncover the elements engaged with the misrepresentation movement; while highlights of elements are the depiction of elements and abnormality identification on highlights can reflect subtleties of the extortion exercises. In this manner, system and highlights give integral data to extortion discovery, which can possibly improve fraud recognition execution. Nonetheless, most of existing strategies center on systems or highlights data independently, which doesn't use both data. In this paper, we propose a novel fraud identification framework, CoDetect, which can use both system data and highlight data for money related extortion discovery. What's more, CoDetect can all the while identifying money related fraud exercises and the component examples related with the extortion exercises. General examinations on both real world information and certifiable information exhibit the productivity and the adequacy of the proposed structure in battling monetary extortion, particularly for tax evasion.
DGGT‐Mitteilungen: geotechnik 3/2019

geotechnikVolume 42, Issue 3 p. 169-172 DGGT-Mitteilungen DGGT-Mitteilungen: geotechnik 3/2019 First published: 12 September 2019 https://doi.org/10.1002/gete.201970304Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Volume42, Issue3September 2019Pages 169-172 RelatedInformation
Analyzing Sentiment and Determining Negation Scope in Political News

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.
Spring Security

Spring Security is a highly customizable authentication and access control framework. It is the standard for securing Spring-based applications. It includes support for a variety of security standards such as LDAP and OAuth2.
MauritaniaDemands for Release of Jailed Bloggers

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 56, Issue 4 p. 22272A-22272B National Security MauritaniaDemands for Release of Jailed Bloggers First published: 23 May 2019 https://doi.org/10.1111/j.1467-825X.2019.08840.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue4May 2019Pages 22272A-22272B RelatedInformation
Moving on with SDL

By using SSDL, you've gone most of the way toward becoming an SDL programmer. To keep going, you can
Privacy preserving of intermediate dataset using hybridisation of oppositional gravitational search algorithm and elliptic curve cryptography

Distributed computing gives the gigantic capacity ability to the clients to send their applications without any infrastructure investment. Based on the application lot of intermediate dataset will be created. To protecting these intermediate dataset is a challenging task. Moreover, encrypting all dataset is a time and cost consuming. To overcome the problem, in this paper we proposed a privacy preserving of intermediate dataset using a combination of oppositional gravitational search algorithm and elliptic curve cryptography (OGSA + ECC). Initially, we split the dataset into a number of the intermediate datasets, then, we choose the node corresponding intermediate dataset from the cloud using an oppositional gravitational search algorithm (OGSA). After that, we choose the sensitive data from the dataset using the information gain measure to minimise the processing time and cost. Then, using the ECC algorithm the sensitive data is encrypted and in the cloud the secure data are stored. The experimentation is carried out in terms of encryption time and memory use.
Remittances and Economic Growth

Economic growth has become an important study growth matter. By economists economic growth is defined as capital stock growth, rising per capita GDP, increased access for manufactured goods and services for consumption and so on. In economic growth affect several factors and policies. Corruption, lack of investment, inappropriate institutions, inappropriate education etc. are some of obstacles to economic development. Consumption and investment are important components of aggregate demand with multiplicative effect in development. Remittances of migrants are significant potential financial capital used for investments, reflected in economic development and social prosperity. Remittances in Kosovo since 1960 have always been increasing. Participation of remittances to GDP in Kosovo in 2010 is about 12%. Remittances are the highest contributor to the Kosovo trade deficit coverage and are higher than foreign direct investments. Remittances unfortunately for various reasons are not exploited and are not sufficiently exploited for economic development.
The Development of Smart Cane Prototype for the Elderly Caring using IoT

Thailand is currently advanced in the age of the elderly, with many elderly people. Self-help, especially walking to various places of the elderly, therefore it is necessary to have a walking stick or cane as another kind of aid. The objective of this research is to develop the smart cane prototype that acts as tools and monitor the elderly by using IoT electronic devices to apply in the development. The developed smart cane consists of twenty-one features that evaluated in terms of user satisfaction, and the mobile application that supports this smart cane prototype was evaluated the effectiveness in the black box testing. As a result, the user satisfaction related to all smart cane features has an average mean of 4.80 and the standard deviation at 0.40. The result of the mobile application evaluated has the average meant at 4.92 and 4.88 for the elderly and the expert evaluation, respectively. It could be said that the developed smart cane prototype be a tool that helps to take care of the elderly in daily life at the highest level by using the internet of things.
Chester Receives 2019 Paul G. Silver Award for Outstanding Scientific Service

Judith Savaso Chester received the 2019 Paul G. Silver Award for Outstanding Scientific Service at AGU's Fall Meeting 2019, held 9–13 December in San Francisco, Calif. The award is given annually and recognizes “significant contributions to the fields of geodesy, seismology, or tectonophysics from a mid-career or senior scientist” through “mentorship of early-career scientists, leadership on community research initiatives, or other collaborative research efforts.”
Flagging down a cab

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Snapp and Tap30 are the two largest online taxi firms in Iran. Their corporate strategies differ in the focus on customers, leading to divergent pathways to success. Originality The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.
Visualising log-based behavioral differences with LogDiffNG

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.
ACP Reviewers‐2019

Applied Cognitive PsychologyVolume 34, Issue 2 p. 559-560 LIST OF REVIEWERS ACP Reviewers-2019 First published: 01 March 2020 https://doi.org/10.1002/acp.3638Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume34, Issue2March/April 2020Pages 559-560 RelatedInformation
Development Status Analysis of National Competency Standards(NCS) Learning Modules for Hair Beauty Field

The purpose of this research is to present basic data for the development of NCS learning module in hair beauty field by analyzing the current status of NCS learning module development. In order to achieve the research objectives, relevant prior research, NCS site, primary, secondary and tertiary learning modules were analyzed. As a result of the research, the learning module was developed three times, reflecting the needs of education-related institutions and industries, the ability units were subdivided and the contents of the learning module were modified and supplemented. It is estimated that this research will help the relevant research and policy decision in the future by analyzing the development status of the National Competency Standards (NCS) and learning modules in the hair beauty field, and by studying the characteristics, differences, modifications and complements of each. It is meaningful in contributing to the training of hair beauty jobs required by the Skills Review Board and providing basic data for the development of the beauty industry.
Q-grams-imp: an improved q-grams algorithm aimed at edit similarity join

Similarity join is more and more important in many applications and has attracted wide-spread attention from scholars and communities. Similarity join has been used in many applications, such as spell checking, copy detection, entity linking, pattern recognition and so on. Actually, in many web and enterprise scenarios, where typos and misspellings often occur, we need to find an efficient algorithm to handle these situations. In this paper, we propose an improved algorithm on q-grams called q-grams-imp that is aimed at solving edit similarity join. We use this algorithm in order to reduce the number of tokens and thus reduce space costs, so it is fit best for same size strings. But for different sizes of strings, we need to handle these strings in order to fit for the algorithm. Finally, we conclude and get the results that our proposed algorithm is better than the traditional method.
Summarizing Itemsets

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
3D surface profile imaging based on time-encoded structured illumination

A novel 3D surface profile imaging method based on time-encoded structured illumination is proposed. With fast and arbitrary illumination pattern generation, low error 3D reconstruction of different objects can be obtained.
Identification of Various Security Issues, Threats and A Novel Service Model in Cloud Computing

Cloud Computing is a robust, less cost, and an effective platform for providing services. Nowadays, it is applied in various services such as consumer business or Information Technology (IT) carried over the Internet. This cloud computing has some risks of security because, the services which are required for its effective compilation is outsources often by the third party providers. This makes the cloud computing more hard to maintain and monitor the security and privacy of data and also its support. This sudden change in the process of storing data towards the cloud computing technology improved the concerns about different issues in security and also the various threats present in this cloud storage. In the concept of security in cloud storage, various threats and challenges are noted by recent researchers. Hence, an effective framework of providing security is required. The main aim of this paper is to analyze various issues in securing the cloud data threats present in the cloud storage and to propose a novel methodology to secure it. This paper also identifies the most crucial components that can be incorporated in the already existing security measures while designing the storage systems based on cloud. This study also provides us to identify all the available solutions for the challenges of security and privacy in cloud storage.
KENYA: New Banknotes

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 5 p. 22582C-22583A Policy and Practice KENYA: New Banknotes First published: 04 July 2019 https://doi.org/10.1111/j.1467-6346.2019.08953.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue5July 2019Pages 22582C-22583A RelatedInformation