Development of the automatic void generation module in GEOUNED conversion tool

2021 ◽  
Vol 168 ◽  
pp. 112366
Author(s):  
Juan García ◽  
Juan Pablo Catalán ◽  
Javier Sanz
Keyword(s):  
Conversion Tool

scholarly journals Desaign of Converter Hijri Calendar to Ad Calendar for Determaning Islamic Great Days Using Matlab

2017 ◽  
Vol 2 (1) ◽  
pp. 109
Author(s):  
Uzlifa Khanifatul Muttaqi
Keyword(s):  
Interface Design ◽  
Design Method ◽  
Black Box ◽  
Feasibility Analysis ◽  
Matlab Software ◽  
Analysis Application ◽  
Box Method ◽  
Conversion Tool

<div style="text-align: justify;">This research is motivated by the importance of knowing an Islamic great day calendar on AD calendar. It was intended to answer the question: How to design converter Hijri calendar to AD calendar for determining Islamic great days using Matlab? The research used ‘design’ method, because it was one of activities to translate the result of analysis to software form and also used to develop an existing application. This application made by a Matlab software. Matlab was a conversion tool to determine Islamic great days. Data of this research was obtained from questionnaire. And all the questionnaire datum was used to design application. The technique of feasibility analysis application was obtained from a validation. It was using black-box method. The result showed that the application was made by three ways: First, making an appearance in GUI Matlab appropriate with interface design application. Second, entering the script in each menu of application. Third, entering JD formula in application that were already functioning. ©2016 JNSMR UIN Walisongo. All rights reserved.</div>

scholarly journals The Scramble conversion tool

2014 ◽  
Vol 30 (19) ◽  
pp. 2818-2819 ◽  
Author(s):  
James K. Bonfield
Keyword(s):  
Conversion Tool

Improved algorithms and advanced features of the CAD to MC conversion tool McCad

2014 ◽  
Vol 89 (9-10) ◽  
pp. 1885-1888 ◽  
Author(s):  
L. Lu ◽  
U. Fischer ◽  
P. Pereslavtsev
Keyword(s):  
Conversion Tool

Opioid Pharmacotherapies for Chronic Pain (DRAFT)

2018 ◽  
Author(s):  
Thien C. Pham ◽  
Courtney Kominek ◽  
Abigail Brooks ◽  
Jeffrey Fudin
Keyword(s):  
Chronic Pain ◽  
Extended Release ◽  
Opioid Analgesics ◽  
Chronic Pain Management ◽  
Opioid Use ◽  
Daily Dose ◽  
Long Acting ◽  
Conversion Tool ◽  
Morphine Equivalent

Chronic pain management employing opioids is divided into subtopics, including: risk–benefit balance; a review of the mode of action of opioid analgesics (Chap. 8); the suitability of synthetic opioids for neuropathic pain; endocrinopathy proceeding from opioid use; the use of the morphine-equivalent daily dose as a conversion tool for managing multiple opioids; the place of extended-release and long-acting opioids; current technology in abuse deterrence; and an overview of the challenges entailed in prescribing. This last section details the complex components of a decision to prescribe opioids for chronic pain. A table is provided of the classification of common opioid analgesics and their duration of activity. A text box gives the table of contents of Appendix B, supportive tables and figures therein for this chapter; there is also a text box listing additional resources.

scholarly journals CytoConverter: a web-based tool to convert karyotypes to genomic coordinates

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Janet Wang ◽  
Thomas LaFramboise
Keyword(s):  
Chromosomal Aberrations ◽  
Chromosomal Location ◽  
Web Based ◽  
Genomic Features ◽  
Graphical Output ◽  
Link Type ◽  
Gain And Loss ◽  
Gains And Losses ◽  
Conversion Tool

Abstract Background Cytogenetic nomenclature is used to describe chromosomal aberrations (or lack thereof) in a collection of cells, referred to as the cells’ karyotype. The nomenclature identifies locations on chromosomes using a system of cytogenetic bands, each with a unique name and region on a chromosome. Each band is microscopically visible after staining, and encompasses a large portion of the chromosome. More modern analyses employ genomic coordinates, which precisely specify a chromosomal location according to its distance from the end of the chromosome. Currently, there is no tool to convert cytogenetic nomenclature into genomic coordinates. Since locations of genes and other genomic features are usually specified by genomic coordinates, a conversion tool will facilitate the identification of the features that are harbored in the regions of chromosomal gain and loss that are implied by a karyotype. Results Our tool, termed CytoConverter, takes as input either a single karyotype or a file consisting of multiple karyotypes from several individuals. All net chromosomal gains and losses implied by the karyotype are returned in standard genomic coordinates, along with the numbers of cells harboring each aberration if included in the input. CytoConverter also returns graphical output detailing areas of gains and losses of chromosomes and chromosomal segments. Conclusions CytoConverter is available as a web-based application at https://jxw773.shinyapps.io/Cytogenetic__software/ and as an R script at https://sourceforge.net/projects/cytoconverter/. Supplemental Material detailing the underlying algorithms is available.

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