Library Project Research Articles

Mining Similar Methods for Test Adaptation

Developers may choose to implement a library despite the existence of similar libraries, considering factors such as computational performance, language or platform dependency, accuracy, convenience, and completeness of an API. As a result, GitHub hosts several library projects that have overlaps in their functionalities. These overlaps have been of interest to developers from the perspective of code reuse or the preference of one implementation over the other. Through an empirical study, we explore the extent and nature of existence of these similarities in the library functions. We have further studied whether the similarity of functions across different libraries and their associated test suites can be leveraged to reveal defects in one another. We see scope for effectively using the mining of test suites from the perspective of revealing defects in a program or its documentation. Another noteworthy observation made in the study is that similar functions may exist across libraries implemented in the same language as well as in different languages. Identifying the challenges that lie in building a testing tool, we automate the entire process in <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Metallicus</small> , a test mining and recommendation tool. <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Metallicus</small> returns a test suite for the given input of a query function and a template for its test suite. On a dataset of query functions taken from libraries implemented in Java or Python, <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Metallicus</small> revealed 46 defects.

A Deeper Look at Sheet Music Composer Classification Using Self-Supervised Pretraining

This article studies a composer style classification task based on raw sheet music images. While previous works on composer recognition have relied exclusively on supervised learning, we explore the use of self-supervised pretraining methods that have been recently developed for natural language processing. We first convert sheet music images to sequences of musical words, train a language model on a large set of unlabeled musical “sentences”, initialize a classifier with the pretrained language model weights, and then finetune the classifier on a small set of labeled data. We conduct extensive experiments on International Music Score Library Project (IMSLP) piano data using a range of modern language model architectures. We show that pretraining substantially improves classification performance and that Transformer-based architectures perform best. We also introduce two data augmentation strategies and present evidence that the model learns generalizable and semantically meaningful information.

A Survey of Forex and Stock Price Prediction Using Deep Learning

Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting. In this survey, we selected papers from the Digital Bibliography &amp; Library Project (DBLP) database for comparison and analysis. We classified papers according to different deep learning methods, which included Convolutional neural network (CNN); Long Short-Term Memory (LSTM); Deep neural network (DNN); Recurrent Neural Network (RNN); Reinforcement Learning; and other deep learning methods such as Hybrid Attention Networks (HAN), self-paced learning mechanism (NLP), and Wavenet. Furthermore, this paper reviews the dataset, variable, model, and results of each article. The survey used presents the results through the most used performance metrics: Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Mean Square Error (MSE), accuracy, Sharpe ratio, and return rate. We identified that recent models combining LSTM with other methods, for example, DNN, are widely researched. Reinforcement learning and other deep learning methods yielded great returns and performances. We conclude that, in recent years, the trend of using deep-learning-based methods for financial modeling is rising exponentially.

A experiência docente de Mário de Andrade no Instituto de Artes da Universidade do Distrito Federal ― RJ (1938-1939)

Este artigo traz uma reflexão sobre a experiência docente de Mário de Andrade, quando o renomado poeta assumiu a cadeira de Filosofia e História da Arte no Instituto de Artes da Universidade do Distrito Federal (RJ) ― IA/UDF. A referida universidade foi criada por Anísio Teixeira em 1935 na Cidade do Rio de Janeiro, à época Capital Federal. A UDF era uma instituição diferenciada porque tinha como carro chefe a formação de professores para diferentes áreas do conhecimento. Muitos foram os embates enfrentados por esta instituição que teve curta existência (1935 a 1939). Nessa instituição, além de Mário de Andrade, também atuaram como professores figuras eminentes da arte modernista brasileira. Dessa forma, o objetivo central desta pesquisa é compreender quais foram as contribuições de Mário de Andrade como professor no Instituto de Artes da UDF para formação de professores de Artes (Desenho e Pintura) da referida instituição. O referencial teórico que norteia as reflexões desta pesquisa baseia-se nos trabalhos dos seguintes autoras: Bomeny (2012), Coutinho (2002), Lopes (2006, 2009) e Mendonça (2002). A metodologia consistiu-se em análise documental dos acervos das seguintes instituições: Programa de Estudos e Documentação Educação e Sociedade da UFRJ; Projeto Portinari da PUC-Rio e Hemeroteca Digital da Biblioteca Nacional. A análise das fontes permitiu confirmar o caráter modernista do ensino do Instituto de Artes da UDF, além de que Mário de Andrade intencionava despertar em seus alunos uma consciência artística a partir do desenvolvimento de uma técnica pessoal, sem limitar o artista a padrões estabelecidos rigidamente. &#x0D; Palavras-chaves: Mário de Andrade; Formação de professores; Arte Moderna.

Modelling a Heaving Point-Absorber with a Closed-Loop Control System Using the DualSPHysics Code

The present work addresses the need for an efficient, versatile, accurate and open-source numerical tool to be used during the design stage of wave energy converters (WECs). The device considered here is the heaving point-absorber developed and tested by Sandia National Laboratories. The smoothed particle hydrodynamics (SPH) method, as implemented in DualSPHysics, is proposed since its meshless approach presents some important advantages when simulating floating devices. The dynamics of the power take-off system are also modelled by coupling DualSPHysics with the multi-physics library Project Chrono. A satisfactory matching between experimental and numerical results is obtained for: (i) the heave response of the device when forced via its actuator; (ii) the vertical forces acting on the fixed device under regular waves and; (iii) the heave response of the WEC under the action of both regular waves and the actuator force. This proves the ability of the numerical approach proposed to simulate accurately the fluid–structure interaction along with the WEC’s closed-loop control system. In addition, radiation models built from the experimental and WAMIT results are compared with DualSPHysics by plotting the intrinsic impedance in the frequency domain, showing that the SPH method can be also employed for system identification.

The Sound of the Stradivari Violin – between Tradition and Modernism

The Stradivari violin had classical instrument manufacturing reach its peak and is also a landmark for consecrated creators and performers. Reproducing the unique sound has been a challenge for luthiers all around the world. At the same time preserving the sound quality and implicitly the instruments themselves remains a difficult task especially for the Museum in Cremona which has undertaken the responsibility of keeping a history page intact. An important step in this direction was taken in 2017, with the international project of the electronic library for the original sound of the Vesuvius violin, one of Antonio Stradivari’s gems. The technical team who successfully completed the project redefined high-quality sampling from a new perspective. Due to it, instrumental music composers can refine their creative discourse inspired by authentic, brilliant sonic material.

Can an understanding of data use in academic libraries assist in public service efforts?

More research is needed on data analytics projects in smaller academic libraries. Every academic library generates its own data, gathers that data, manages the storage of that data, and even may contribute it to a larger body of institutional data. This data could include digital data, reference data, circulation data, and instruction data. As data use becomes more prevalent at the higher educational level, academic libraries must navigate between using their library generated data to assist in meeting larger institutional goals and the library’s foundational values of privacy and confidentiality. The more academic libraries are able to partner with their host institutions, the more accountability will be had in future data analytics projects. The more libraries are attuned to their own data use, the more they are able to better serve their faculty, students, and host institutions.

Conference Ranking based on Academic Network Embedding and Bipartite cross voting

Academic networks express the academic relationships among authors, papers and conferences, which offer perspectives and tools to rethink and solve traditional problems in the academic field. Among them, conference ranking is a problem which normally produced by collecting information from different sources and considering many factors. Not like most of the existed ranking methods that based on subjective evaluation, in this paper, we develop a Conference Ranking method based on Academic Network Embedding (CRANE) algorithm to simultaneously rank authors and conferences which improving the accuracy of ranking by embedding the Academic Network. The CRANE uses both conference features like internationality, citations and co-authors, and structure in Academic Network to evaluate the ranking of certain conferences. The theoretical analysis and convergence analysis were provided in this paper. Experiments on datasets of the Digital Bibliography & Library Project (DBLP) and AMiner academic platforms also be conducted. The experimental results show that the CRANE algorithm is superior to other algorithms by comparing with the public academic ranking like the China Computer Federation (CCF) ranking.

Using Law School Faculty Author Profiles to Promote Impact: The U.S. News &amp; World Report Saga Continues

INTRODUCTION: When U.S. News &amp;amp; World Report announced that it would rank law schools’ scholarly impact, U.S. News asked law schools to work with HeinOnline, a legal database, to ensure the accuracy of the database-created faculty author profiles because they would be using Hein’s database to gather citation metrics to measure scholarly impact. DESCRIPTION OF PROGRAM: This practice article describes a project at UNC Chapel Hill in the law library to ensure that their faculty publications were included in HeinOnline’s database and that HeinOnline Author Profiles were accurate. This case study helps librarians tackling either similar law library projects or similar projects throughout academia as metrics gathering for scholarly impact in a variety of manners, including educational rankings, becomes more prevalent. NEXT STEPS: Following this project, Hein contacted UNC to inform the law library they had identified an additional 119 articles for faculty members not previously attached to UNC faculty Hein Author Profiles. Some implications from this project are unclear and changing methodology, scalability issues, authority control concerns, lack of capturing interdisciplinary works, and an increased workload for librarians. Librarians, especially Scholarly Communications Librarians, are well equipped to promote our faculty’s scholarship by understanding the methodology of these educational ranking systems and by connecting our faculty and their research to the database tools of our field. This article represents just one field, but the implications apply more broadly.

New prediction method for data spreading in social networks based on machine learning algorithm

Information diffusion prediction is the study of the path of dissemination of news, information, or topics in a structured data such as a graph. Research in this area is focused on two goals, tracing the information diffusion path and finding the members that determine future the next path. The major problem of traditional approaches in this area is the use of simple probabilistic methods rather than intelligent methods. Recent years have seen growing interest in the use of machine learning algorithms in this field. Recently, deep learning, which is a branch of machine learning, has been increasingly used in the field of information diffusion prediction. This paper presents a machine learning method based on the graph neural network algorithm, which involves the selection of inactive vertices for activation based on the neighboring vertices that are active in a given scientific topic. Basically, in this method, information diffusion paths are predicted through the activation of inactive vertices byactive vertices. The method is tested on three scientific bibliography datasets: The Digital Bibliography and Library Project (DBLP), Pubmed, and Cora. The method attempts to answer the question that who will be the publisher of thenext article in a specific field of science. The comparison of the proposed method with other methods shows 10% and 5% improved precision in DBL Pand Pubmed datasets, respectively.

Specialized Collection “For Library Professionals” on the National Electronic Library’s Portal

The article highlights the first stage of creating a specialized collection (section) “For Library Professionals” on the portal of the National Electronic Library (NEL). The last decade’s trend has been a reduction in the number of titles of professional library publications, and a drop in their average circulation. In these conditions, the issue of providing library and information specialists with relevant scientific, practical and reference literature has become urgent. One of the ways to solve the problem is creating electronic collections of professional library literature. The article analyzes the Russian State Library’s experience in this area since the early 2000s. Currently, the special collection “For Library Professionals” is available on the basis of the National Electronic Library, a key library and information project of recent years. The collection has been accessible since July 2019. At the beginning of 2020, this section included about 1,5 thousand documents of different types (monographs, indexes, textbooks and manuals, collected scientific articles, proceedings of scientific conferences, periodical materials, etc.). At the end of 2 019, a survey w as conducted on the feasibility of maintaining a professional library collection in the NEL, which was attended by about 700 professionals in the area. The article analyzes the results of this survey, which indicate the demand for such electronic collections of professional library literature and show the priority topics demanded by library employees and expectations in the field of search capabilities.

In Memoriam: Mortimer L. Mendelsohn: (1 December, 1925-8 January, 2020).

In Memoriam: Mortimer L. Mendelsohn: (1 December, 1925-8 January, 2020).

In Memoriam: Marvin A. Van Dilla: 1919-2019.

© 2020 International Society for Advancement of Cytometry.

Planetary Terrestrial Analogues Library project: 2. building a laboratory facility for MicrOmega characterization

Multiple spectroscopic techniques have been selected on previous, present and forthcoming missions to explore planetary surfaces in the Solar System. In particular, forthcoming ESA/Roscosmos and NASA missions to the surface of Mars will bring instruments capable of near-infrared (NIR), Raman and Laser Induced Breakdown Spectroscopies to analyze the mineralogy and chemistry of rocks. The PTAL (Planetary Terrestrial Analogues Library) project aims at building a multi-instrument spectral database of a large variety of natural Earth rock samples, including Mars analogues. The NIR hyperspectral microscope MicrOmega was selected to characterize the mineralogy of these analogues within the PTAL project. The instrument model used for the PTAL project is a spare flight model that requires specific care. For the safety of the instrument, and because of the large number of samples in the PTAL library and the requirement to optimize the observational conditions, a dedicated and semi-automated setup was built for the use of the MicrOmega instrument for this project. This paper presents the requirements specified for this setup, the technical solutions that have been selected, their implementation and the performances of the set-up. Sample preparation and operations during sample observations are explained, and a characterization example is presented to briefly illustrate the capabilities of MicrOmega in this set-up. The complete results from the MicrOmega characterizations of the PTAL rock analogues will be presented in a forthcoming paper (Loizeau et al. in prep).

How Data from the Institute of Museum and Library Services Describe Ways Public Libraries Provide Health and Wellness Information Services.

ObjectiveThis article describes how funding from the Institute of Museum and Library Services (IMLS) provided resources for state and public libraries to deliver health information to their patrons.MethodsThree IMLS publicly available data collections were used: State Library Administrative Agency Survey data; State Program Report system; and the Awarded Grants Search portal. Data about health related projects from these two administrative data sources for 36 competitive award projects since 2015 and 143 projects supported via the formula-funded Grants to States Program between 2015-2018 (inclusive) were included. Descriptive statistics about projects with a health and wellness focus were presented within the context of others supported by Grants to States.ResultsCompetitive projects supported public libraries’ health resources and built librarians’ skills to facilitate patron access to health information. The Grants to States program supported 143 projects associated with health undertaken by 29 states plus Puerto Rico between 2015 and 2018. The IMLS $14.4 million investment during this period leveraged an additional $5 million from state and local sources to support health information projects in public libraries. Finally, data from the State Library Administrative Agency Survey showed that in addition to projects that relied on IMLS Grants to States funds, 29 state libraries provided program assistance in health literacy to the public libraries in their jurisdictions in 2018.ConclusionsThe findings point to a need to determine whether there are ways to collect additional information via IMLS’s data systems to further support state and public libraries in meeting patron health information needs. The lessons learned in the analyses in this article offer useful food-for-thought about how IMLS might work with our data stakeholders to continue to modify each of these data sources to describe the role of libraries in an increasingly complex information landscape.

Special Report: America’s First Asylum for African Americans Marks 150th Anniversary

<i>Special Report:</i> America’s First Asylum for African Americans Marks 150th Anniversary

Creating New Information and Communication Models in Working with Users within the Google Library Project

The article analyzes characteristic features and development logic of the library project by Google, which started from the famous Google Book Search project (also known as Google Books and Google Print), and later as Google Play Books within the multi-platform multimedia service Google Play. For decades, a constant trend of the corporation’s activity has been the development and testing of new social and communication models in working with users, combining the complexity and global reach of the audience with the use of its interactive potential. In the early 2000s, the company initiated mass scanning of library collections, thus starting the development of a new institutional paradigm for electronic libraries. Later, having developed new business models for the distribution of electronic copies of printed products in the course of numerous legal proceedings on charges of copyright infringement, it also pioneered the new information market development.From the very beginning, Google Book Search was aimed at the mass user, which was facilitated by its constantly expanding set of options and increasing level of comfort of access to the resource. In 2006—2010, the service presented an opportunity for users to download, in pdf format, books free of copyright law; a new viewing interface “About this book” was added; an opportunity to operate texts using “My library” option was provided; a mobile version of the service was launched; access to statistical information on diachronic frequency dynamics of word usage based on the collected database was provided.The article analyzes the further development of the library project within the Google Play Books service, which allows users to read, buy and sell e-books, use bookmarks, download their own books in pdf and EPUB formats, and synchronize data on all user’s devices. There is assessed the social significance of the project in the context of the global electronic civilization development.

The Advanced Spectral Library (ASTRAL): Abundance Analysis of the Chemically Peculiar Star HR 465*

Abstract This paper presents the results of the spectrum analysis of the B-type magnetic chemically peculiar star HR 465. HR 465 shows unusual abundance patterns that vary with a period of 21.5 yr. Our observations are recorded at ϕ = 0.45, 0.68, and 0.85 of the spectroscopic period, where ϕ = 0 represents the phase of maximum flux in the photometric y-band. Synthetic spectra, computed using an LTE atmosphere model, are fit to high-resolution ultraviolet Hubble Space Telescope (ϕ = 0.45) spectra obtained as part of the Advanced Spectral Library Project: Hot Stars program. The ultraviolet data are supplemented by high-resolution optical spectra (ϕ = 0.68 and 0.85) recorded at the Nordic Optical Telescope with the SOFIN spectrograph. The optical data are used as a complement to the high line-density ultraviolet spectrum to derive accurate abundances for elements without spectral lines in the ultraviolet and to improve the abundance phase coverage for many atoms/ions. This analysis presents abundance results for more than 70 atoms/ions and confirms parts of the abundance characteristics previously reported where elements with high mass numbers show significant abundance enhancements compared with solar values while some of the lighter elements show abundance deficiencies. In addition, our measured abundances are consistent with the periodic variability for chromium and rare-earth elements. Our results are compared with earlier investigations of this peculiar object to constrain stellar abundance and diffusion.

Conversations: The Open Libraries Project – Interview with Chris Freeland

In this installment of “Conversations,” Chris Freeland, director for the Open Libraries project with the Internet Archive, discusses his work with the Open Libraries project and the National Emergency Library.

Redefining the Pedagogy: Service-Learning in Libraries and Archives

Service-learning has become an established pedagogy in higher education classrooms. With a push in recent years to offer classroom experiences that offer more than static lectures, service-learning incorporates three main elements into its model; experiential learning, contribution to the community, and reflection which merges theory with practice for a unique learning experience. Service-learning can also be found in early models of library science education. This article will highlight service-learning projects in both libraries and archives that used innovative methods to create partnerships in the community. It will also argue that both libraries and archives should not be overlooked when considering these projects and can be valuable resources for successful service-learning partnerships.