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Journal articles on the topic 'Source code summarizing'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Castro Lechtaler, Antonio, Marcelo Cipriano, Edith García, et al. "Other potential problems in Qlink.it." Journal of Computer Science and Technology 18, no. 02 (2018): e18. http://dx.doi.org/10.24215/16666038.18.e18.

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In previous work we presented preliminary results obtained by reviewing the source code of Qlink.it web application. In this article, after summarizing previous findings, results of the source code review of Qlink.it Android application will be described. This analysis focused on the implementation of cryptographic functionalities. The aim of this publication is also to invite other researchers to analyze the application in order to determine if Qlink.it could be considered secure.

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2

Pollard, Tom J., Alistair E. W. Johnson, Jesse D. Raffa, and Roger G. Mark. "tableone: An open source Python package for producing summary statistics for research papers." JAMIA Open 1, no. 1 (2018): 26–31. http://dx.doi.org/10.1093/jamiaopen/ooy012.

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Abstract Objectives In quantitative research, understanding basic parameters of the study population is key for interpretation of the results. As a result, it is typical for the first table (“Table 1”) of a research paper to include summary statistics for the study data. Our objectives are 2-fold. First, we seek to provide a simple, reproducible method for providing summary statistics for research papers in the Python programming language. Second, we seek to use the package to improve the quality of summary statistics reported in research papers. Materials and Methods The tableone package is d

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3

Figueredo, Grazziela P., Tanvi V. Joshi, James M. Osborne, Helen M. Byrne, and Markus R. Owen. "On-lattice agent-based simulation of populations of cells within the open-source Chaste framework." Interface Focus 3, no. 2 (2013): 20120081. http://dx.doi.org/10.1098/rsfs.2012.0081.

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Over the years, agent-based models have been developed that combine cell division and reinforced random walks of cells on a regular lattice, reaction–diffusion equations for nutrients and growth factors; and ordinary differential equations for the subcellular networks regulating the cell cycle. When linked to a vascular layer, this multiple scale model framework has been applied to tumour growth and therapy. Here, we report on the creation of an agent-based multi-scale environment amalgamating the characteristics of these models within a Virtual Physiological Human (VPH) Exemplar Project. This

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4

Ranjan, Ekagra, Soumya Sanyal, and Partha Talukdar. "ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 5470–77. http://dx.doi.org/10.1609/aaai.v34i04.5997.

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Graph Neural Networks (GNN) have been shown to work effectively for modeling graph structured data to solve tasks such as node classification, link prediction and graph classification. There has been some recent progress in defining the notion of pooling in graphs whereby the model tries to generate a graph level representation by downsampling and summarizing the information present in the nodes. Existing pooling methods either fail to effectively capture the graph substructure or do not easily scale to large graphs. In this work, we propose ASAP (Adaptive Structure Aware Pooling), a sparse an

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5

Kucheria, Priya, McKay Moore Sohlberg, Jason Prideaux, and Stephen Fickas. "Read, Understand, Learn, & Excel: Development and Testing of an Automated Reading Strategy Detection Algorithm for Postsecondary Students." American Journal of Speech-Language Pathology 28, no. 3 (2019): 1257–67. http://dx.doi.org/10.1044/2019_ajslp-18-0181.

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PurposeAn important predictor of postsecondary academic success is an individual's reading comprehension skills. Postsecondary readers apply a wide range of behavioral strategies to process text for learning purposes. Currently, no tools exist to detect a reader's use of strategies. The primary aim of this study was to develop Read, Understand, Learn, & Excel, an automated tool designed to detect reading strategy use and explore its accuracy in detecting strategies when students read digital, expository text.MethodAn iterative design was used to develop the computer algorithm for detecting

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6

Mendoza, Claudio, Manuel A. Bautista, Jérôme Deprince, et al. "The XSTAR Atomic Database." Atoms 9, no. 1 (2021): 12. http://dx.doi.org/10.3390/atoms9010012.

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We describe the atomic database of the xstar spectral modeling code, summarizing the systematic upgrades carried out in the past twenty years to enable the modeling of K-lines from chemical elements with atomic number Z≤30 and recent extensions to handle high-density plasmas. Such plasma environments are found, for instance, in the inner region of accretion disks round compact objects (neutron stars and black holes), which emit rich information about the system’s physical properties. Our intention is to offer a reliable modeling tool to take advantage of the outstanding spectral capabilities o

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7

Simonis, A., P. Poskas, A. Sirvydas, and D. Grigaliuniene. "Modeling of the Radiation Doses during Dismantling of RBMK-1500 Reactor Pressurized Tanks from Emergency Core Cooling System." Science and Technology of Nuclear Installations 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/576432.

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Decommissioning of the Ignalina Nuclear Power Plant involves multiple problems. One of them is personnel radiation safety during the performance of dismantling activities. In this paper, modeling results of radiation doses during the dismantling of the pressurized tank from the emergency core cooling system (ECCS PT) of RBMK-1500 reactor are presented. The radiological surveys indicate that the inner surface of the ECCS PT is contaminated with radioactive products of corrosion and sediments due to the radioactive water. The effective doses to the workers have been modeled for different strateg

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8

Hayduchok, I. G. "INNOVATIVE APPROACHES TO PHARMACOTHERAPY OF SYSTEMIC AUTOIMMUNE DISEASES IN THE CONDITIONS OF THE COVID-19 PANDEMIC." Likarska sprava, no. 7-8 (December 30, 2020): 64–74. http://dx.doi.org/10.31640/jvd.7-8.2020(8).

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Introduction. In the current context of the spread of the coronavirus pandemic, the role of pharmacotherapy in the maintenance of immunopathological syndromes among patients with systemic diseases and patients with dual health disorders is growing. The need to adjust the pharmacotherapy regimens of systemic autoimmune diseases arises when addressing issues of quality, economic and physical availability of drugs in accordance with wholesale and retail prices. In continuation of the research, the aim of the work was to study and implement innovative approaches in the pharmacotherapy of systemic

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9

Pavlenko, O. V. "Катастрофа «русской марсельезы» 1917 г. и ее осмысление в современной историографии". Istoricheskii vestnik, № 23(2018) part: 23/2018 (27 вересня 2019): 12–37. http://dx.doi.org/10.35549/hr.2019.2018.36607.

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istorical experience creates a particular system of codes and meanings in the culture of nations and societies. The memory of the past, with triumphs and defeats intertwined, is the basis of any form of collective identity. In some cases, the present and the past share a common historical guilt, in others, a great victory. It becomes a foundation for new moral imperatives, patriotic symbols, images of victims and heroes. For seventy years, the national historiography has been dominated by an apologetic concept of the Great October Revolution that had laid the foundation for the Soviet national

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10

Varabyou, Ales, Geo Pertea, Christopher Pockrandt, and Mihaela Pertea. "TieBrush: an efficient method for aggregating and summarizing mapped reads across large datasets." Bioinformatics, May 8, 2021. http://dx.doi.org/10.1093/bioinformatics/btab342.

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Abstract Summary Although the ability to programmatically summarize and visually inspect sequencing data is an integral part of genome analysis, currently available methods are not capable of handling large numbers of samples. In particular, making a visual comparison of transcriptional landscapes between two sets of thousands of RNA-seq samples is limited by available computational resources, which can be overwhelmed due to the sheer size of the data. In this work, we present TieBrush, a software package designed to process very large sequencing datasets (RNA, whole-genome, exome, etc.) into

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11

Chandramohan, Raghu, Nipun Kakkar, Angshumoy Roy, and D. Williams Parsons. "reconCNV: interactive visualization of copy number data from high-throughput sequencing." Bioinformatics, August 21, 2020. http://dx.doi.org/10.1093/bioinformatics/btaa746.

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Abstract Summary Copy number variation (CNV) is an important category of unbalanced structural rearrangement. While methods for detecting CNV in high-throughput targeted sequencing have become increasingly sophisticated, dedicated tools for interactive and dynamic visualization of CNV from these data are still lacking. We describe reconCNV, a tool that produces an interactive and annotated web-based dashboard for viewing and summarizing CNVs detected in next-generation sequencing (NGS) data. reconCNV is designed to work with delimited result files from most NGS CNV callers with minor adjustmen

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12

Yue, Xiang, Zhen Wang, Jingong Huang, et al. "Graph embedding on biomedical networks: methods, applications and evaluations." Bioinformatics, October 4, 2019. http://dx.doi.org/10.1093/bioinformatics/btz718.

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Abstract Motivation Graph embedding learning that aims to automatically learn low-dimensional node representations, has drawn increasing attention in recent years. To date, most recent graph embedding methods are evaluated on social and information networks and are not comprehensively studied on biomedical networks under systematic experiments and analyses. On the other hand, for a variety of biomedical network analysis tasks, traditional techniques such as matrix factorization (which can be seen as a type of graph embedding methods) have shown promising results, and hence there is a need to s

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13

Kkalsa, Hari S., Sergio Rene Cordova, and Nicholas Generous. "Epi Archive: Automated Synthesis of Global Notifiable Disease Data." Online Journal of Public Health Informatics 11, no. 1 (2019). http://dx.doi.org/10.5210/ojphi.v11i1.9707.

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ObjectiveAutomatically collect and synthesize global notifiable disease data and make it available to humans and computers. Provide the data on the web and within the Biosurveillance Ecosystem (BSVE) as a novel data stream. These data have many applications including improving the prediction and early warning of disease events.IntroductionGovernment reporting of notifiable disease data is common and widespread, though most countries do not report in a machine-readable format. This is despite the WHO International Health Regulations stating that “[e]ach State Party shall notify WHO, by the most

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14

Shah, Syed Farhan, Abdul Rashid, and Faisal Shahzad. "Does board structure improve financial reporting quality? Evidence of real earnings manipulation among Pakistani firms." Abasyn Journal of Social Sciences 12, no. 2 (2019). http://dx.doi.org/10.34091/ajss.12.2.09.

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The purpose of this study was to understand organizational change initiated in the public sector of Pakistan. This study investigated the case of reform initiative of Computerized driving licensing authority (CDLA) of Khyber Pakhtunkhwa Traffic Police (KPTP). Keeping in view the research questions, an in-depth study was conducted through the interpretivist research philosophy. Thirty semi-structured interviews were conducted from the top, middle and lower management (including permanent staff and project staff). Moreover, the secondary source of information was also used. For data analysis pur

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15

Tran, Zung, Anna Ivashchenko, Kate Yzquierdo, and David Seres. "A Novel Meta-Analytic Approach with Applications to Nutrition Research: A Comprehensive Analysis of Sodium Restriction (OR06-05-19)." Current Developments in Nutrition 3, Supplement_1 (2019). http://dx.doi.org/10.1093/cdn/nzz036.or06-05-19.

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Abstract Objectives Since the application of meta-analysis to biomedical research, the breadth of evidence covered in published meta-analyses has diminished. Despite the imperative of literature reviews to present “state of the art” knowledge, current meta-analyses are confined to pooling only select evidence. Imposing a priori criteria on scientific evidence results in biased and myopic conclusions. These current practices, in addition to the vastness of the literature base, ensure that research evidence remains opaque, and unusable to guide research and clinical practice. For example, whethe

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