scholarly journals The Scramble conversion tool

2014 ◽  
Vol 30 (19) ◽  
pp. 2818-2819 ◽  
Author(s):  
James K. Bonfield
Keyword(s):  
2017 ◽  
Vol 2 (1) ◽  
pp. 109
Author(s):  
Uzlifa Khanifatul Muttaqi

<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>


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

Author(s):  
Thien C. Pham ◽  
Courtney Kominek ◽  
Abigail Brooks ◽  
Jeffrey Fudin

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.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Janet Wang ◽  
Thomas LaFramboise

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.


2014 ◽  
Vol 13s3 ◽  
pp. CIN.S14032 ◽  
Author(s):  
Neeta K. Venepalli ◽  
Ardaman Shergill ◽  
Parvaneh Dorestani ◽  
Andrew D. Boyd

Objective To quantify the impact of International Classification of Disease 10th Revision Clinical Modification (ICD-10-CM) transition in cancer clinical trials by comparing coding accuracy and data discontinuity in backward ICD-10-CM to ICD-9-CM mapping via two tools, and to develop a standard ICD-9-CM and ICD-10-CM bridging methodology for retrospective analyses. Background While the transition to ICD-10-CM has been delayed until October 2015, its impact on cancer-related studies utilizing ICD-9-CM diagnoses has been inadequately explored. Materials and Methods Three high impact journals with broad national and international readerships were reviewed for cancer-related studies utilizing ICD-9-CM diagnoses codes in study design, methods, or results. Forward ICD-9-CM to ICD-10-CM mapping was performing using a translational methodology with the Motif web portal ICD-9-CM conversion tool. Backward mapping from ICD-10-CM to ICD-9-CM was performed using both Centers for Medicare and Medicaid Services (CMS) general equivalence mappings (GEMs) files and the Motif web portal tool. Generated ICD-9-CM codes were compared with the original ICD-9-CM codes to assess data accuracy and discontinuity. Results While both methods yielded additional ICD-9-CM codes, the CMS GEMs method provided incomplete coverage with 16 of the original ICD-9-CM codes missing, whereas the Motif web portal method provided complete coverage. Of these 16 codes, 12 ICD-9-CM codes were present in 2010 Illinois Medicaid data, and accounted for 0.52% of patient encounters and 0.35% of total Medicaid reimbursements. Extraneous ICD-9-CM codes from both methods (Centers for Medicare and Medicaid Services general equivalent mapping [CMS GEMs, n = 161; Motif web portal, n = 246]) in excess of original ICD-9-CM codes accounted for 2.1% and 2.3% of total patient encounters and 3.4% and 4.1% of total Medicaid reimbursements from the 2010 Illinois Medicare database. Discussion Longitudinal data analyses post-ICD-10-CM transition will require backward ICD-10-CM to ICD-9-CM coding, and data comparison for accuracy. Researchers must be aware that all methods for backward coding are not comparable in yielding original ICD-9-CM codes. Conclusions The mandated delay is an opportunity for organizations to better understand areas of financial risk with regards to data management via backward coding. Our methodology is relevant for all healthcare-related coding data, and can be replicated by organizations as a strategy to mitigate financial risk.


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