Invention is the need of the hour: A unique Data Accumulation and Analysis Platform for covid reporting

Currently, there is a more frequent replacement of books by e-books, which have become an increasingly viable format and make it easier for readers to read books in a variety of places. Public libraries therefore focus more often on the provision of e-books as one of the components of their digital services. However, these services do not always meet with an adequate demand from readers due to several factors, such as service charges or a lack of awareness. Therefore, in this article, the authors focus on the demand side, represented by e-book readers. Specifically, they focus on the Municipal Library of Prague’s e-book readers’ behaviour and propose a three-step research model. It consists of analyses focusing on: (1) the specifics of the Municipal Library of Prague’s e-book readers; (2) e-book readers’ interest in borrowing e-books; and (3) e-book readers’ interest in the Municipal Library of Prague’s e-service when they must pay a fee. As a data source, the authors use unique data from an online questionnaire survey among readers of the Municipal Library of Prague in 2019 by the Sociores agency. The results show that science fiction and fantasy readers represent the most significant group of e-book readers at the Municipal Library of Prague, and that Facebook is the most significant channel for communication with e-book readers. The authors also confirm the importance of e-book readers and smartphones as devices that significantly affect readers’ decision to read e-books. In the final part of the article, the authors propose some practical recommendations that could attract more e-book readers.

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BiSulfite Bolt: A bisulfite sequencing analysis platform

GigaScience ◽

10.1093/gigascience/giab033 ◽

2021 ◽

Vol 10 (5) ◽

Author(s):

Colin Farrell ◽

Michael Thompson ◽

Anela Tosevska ◽

Adewale Oyetunde ◽

Matteo Pellegrini

Keyword(s):

Data Aggregation ◽

Bisulfite Sequencing ◽

Low Complexity ◽

Sequencing Analysis ◽

Command Line ◽

Sequencing Data ◽

Bisulfite Sequencing Data ◽

Analysis Platform ◽

Python Package ◽

Bisulfite Sequencing Analysis

Abstract Background Bisulfite sequencing is commonly used to measure DNA methylation. Processing bisulfite sequencing data is often challenging owing to the computational demands of mapping a low-complexity, asymmetrical library and the lack of a unified processing toolset to produce an analysis-ready methylation matrix from read alignments. To address these shortcomings, we have developed BiSulfite Bolt (BSBolt), a fast and scalable bisulfite sequencing analysis platform. BSBolt performs a pre-alignment sequencing read assessment step to improve efficiency when handling asymmetrical bisulfite sequencing libraries. Findings We evaluated BSBolt against simulated and real bisulfite sequencing libraries. We found that BSBolt provides accurate and fast bisulfite sequencing alignments and methylation calls. We also compared BSBolt to several existing bisulfite alignment tools and found BSBolt outperforms Bismark, BSSeeker2, BISCUIT, and BWA-Meth based on alignment accuracy and methylation calling accuracy. Conclusion BSBolt offers streamlined processing of bisulfite sequencing data through an integrated toolset that offers support for simulation, alignment, methylation calling, and data aggregation. BSBolt is implemented as a Python package and command line utility for flexibility when building informatics pipelines. BSBolt is available at https://github.com/NuttyLogic/BSBolt under an MIT license.

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MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

Zeitschrift für Kunstgeschichte ◽

10.1515/zkg-2016-0025 ◽

2016 ◽

Vol 79 (3) ◽

pp. 315-330 ◽

Cited By ~ 6

Author(s):

Koenraad Brosens ◽

Klara Alen ◽

Astrid Slegten ◽

Fred Truyen

Keyword(s):

Social Networks ◽

Social Network ◽

Early Modern ◽

Data Model ◽

Art History ◽

Digital Art ◽

Unique Data ◽

Network Research ◽

Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

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An automated image analysis platform for the study of weakly -adhered cells

Biofouling ◽

10.1080/08927014.2021.1917555 ◽

2021 ◽

pp. 1-10

Author(s):

Zhijing Wan ◽

Ben T. MacVicar ◽

Shea Wyatt ◽

Diana E. Varela ◽

Rajkumar Padmawar ◽

...

Keyword(s):

Image Analysis ◽

Automated Image Analysis ◽

Analysis Platform

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Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh

The B E Journal of Economic Analysis & Policy ◽

10.1515/bejeap-2018-0359 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Claudia Berg ◽

M. Shahe Emran

Keyword(s):

Food Security ◽

Rural Economy ◽

Screening Process ◽

Data Set ◽

Estimation Strategy ◽

Positive Effects ◽

Unique Data ◽

Primary Mechanism ◽

Poor Households ◽

Microfinance Institution

AbstractThis paper uses a unique data set on 143,000 poor households from Northern Bangladesh to analyze the effects of microfinance membership on a household’s ability to cope with seasonal famine known as Monga. We develop an identification and estimation strategy that exploits a jump and a kink at the 10-decimal land ownership-threshold driven by the Microfinance Institution screening process to ensure repayment by excluding the ultra-poor. Evidence shows that microfinance membership improves food security during Monga, especially for the poorest households who survive at the margin of one and two meals a day. The positive effects on food security are, however, not driven by higher income, as microcredit does not improve the ability to migrate for work, nor does it reduce dependence on distress sale of labor. The evidence is consistent with consumption smoothing being the primary mechanism behind the gains in food security of MFI households during the season of starvation.

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Singing Transcription from Polyphonic Music Using Melody Contour Filtering

Applied Sciences ◽

10.3390/app11135913 ◽

2021 ◽

Vol 11 (13) ◽

pp. 5913

Author(s):

Zhuang He ◽

Yin Feng

Keyword(s):

Audio Signals ◽

Continuity Properties ◽

Information Retrieval Evaluation ◽

Unique Method ◽

Image Edge ◽

Salience Function ◽

Music Information ◽

Melody Contour ◽

Analysis Platform ◽

Polyphonic Music

Automatic singing transcription and analysis from polyphonic music records are essential in a number of indexing techniques for computational auditory scenes. To obtain a note-level sequence in this work, we divide the singing transcription task into two subtasks: melody extraction and note transcription. We construct a salience function in terms of harmonic and rhythmic similarity and a measurement of spectral balance. Central to our proposed method is the measurement of melody contours, which are calculated using edge searching based on their continuity properties. We calculate the mean contour salience by separating melody analysis from the adjacent breakpoint connective strength matrix, and we select the final melody contour to determine MIDI notes. This unique method, combining audio signals with image edge analysis, provides a more interpretable analysis platform for continuous singing signals. Experimental analysis using Music Information Retrieval Evaluation Exchange (MIREX) datasets shows that our technique achieves promising results both for audio melody extraction and polyphonic singing transcription.

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SIGNAL: A web-based iterative analysis platform integrating pathway and network approaches optimizes hit selection from genome-scale assays

Cell Systems ◽

10.1016/j.cels.2021.03.001 ◽

2021 ◽

Author(s):

Samuel Katz ◽

Jian Song ◽

Kyle P. Webb ◽

Nicolas W. Lounsbury ◽

Clare E. Bryant ◽

...

Keyword(s):

Web Based ◽

Iterative Analysis ◽

Network Approaches ◽

Genome Scale ◽

Analysis Platform

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A Systematic Review and Meta-Analysis of the Relation Between Engagement and Achievement in Early Childhood Research

Topics in Early Childhood Special Education ◽

10.1177/02711214211032720 ◽

2021 ◽

pp. 027112142110327

Author(s):

Esther R. Lindström ◽

Jason C. Chow ◽

Kathleen N. Zimmerman ◽

Hongyang Zhao ◽

Elise Settanni ◽

...

Keyword(s):

Early Childhood ◽

Academic Engagement ◽

Literature Search ◽

Meta Analysis ◽

Effect Sizes ◽

Data Sets ◽

Systematic Literature Search ◽

Random Effects Models ◽

Unique Data ◽

Early Childhood Research

Engagement in early childhood has been linked with later achievement, but the relation between these variables and how they are measured in early childhood requires examination. We estimated the overall association between academic engagement and achievement in children prior to kindergarten entry. Our systematic literature search yielded 13,521 reports for structured eligibility screening; from this pool of studies, we identified 21 unique data sets, with 199 effect sizes for analysis. We coded eligible studies, extracted effect sizes, accounted for effect size dependency, and used random-effects models to synthesize findings. The overall correlation between academic engagement and achievement was r = .24 (range: −.08 to −.71), and moderator analyses did not significantly predict the relation between the two constructs. This study aligns with previous research on this topic and examines issues related to these measures, their constraints, and applications as they pertain to early childhood research.

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Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh

The B E Journal of Economic Analysis & Policy ◽

10.1515/bejeap-2020-2001 ◽

2020 ◽

Vol 20 (3) ◽

Author(s):

Claudia Berg ◽

M. Shahe Emran

Keyword(s):

Food Security ◽

Rural Economy ◽

Screening Process ◽

Data Set ◽

Estimation Strategy ◽

Positive Effects ◽

Unique Data ◽

Primary Mechanism ◽

Poor Households ◽

Microfinance Institution

AbstractThis paper uses a unique data set on 143,000 poor households from Northern Bangladesh to analyze the effects of microfinance membership on a household's ability to cope with seasonal famine known as Monga. We develop an identification and estimation strategy that exploits a jump and a kink at the 10 decimal land ownership-threshold driven by the Microfinance Institution (MFI) screening process to ensure repayment by excluding the ultra-poor. Evidence shows that microfinance membership improves food security during Monga, especially for the poorest households who survive at the margin of one and two meals a day. The positive effects on food security are, however, not driven by higher income, as microcredit does not improve the ability to migrate for work, nor does it reduce dependence on distress sale of labor. The evidence is consistent with consumption smoothing being the primary mechanism behind the gains in food security of MFI households during the season of starvation.

Download Full-text