scholarly journals Evaluating Profile Gamut Coverage Metrics for ICC Color Profiles

2016 ◽  
Vol 4 (2) ◽  
pp. 113-117 ◽  
Author(s):  
Radu Velea ◽  
Noel Gordon
Keyword(s):  
Author(s):  
Sangharatna Godboley ◽  
Arpita Dutta ◽  
Durga Prasad Mohapatra

Being a good software testing engineer, one should have the responsibility towards environment sustainability. By using green principles and regulations, we can perform Green Software Testing. In this paper, we present a new approach to enhance Branch Coverage and Modified Condition/Decision Coverage uses concolic testing. We have proposed a novel transformation technique to improve these code coverage metrics. We have named this new transformation method Double Refined Code Transformer (DRCT). Then, using JoulMeter, we compute the power consumption and energy consumption in this testing process. We have developed a tool named Green-DRCT to measure energy consumption while performing the testing process.


2020 ◽  
Vol 10 (8) ◽  
pp. 2895 ◽  
Author(s):  
Giuseppa De Luca ◽  
Sonia Lastraioli ◽  
Romana Conte ◽  
Marco Mora ◽  
Carlo Genova ◽  
...  

Targeted next-generation sequencing (NGS) based on molecular tagging technology allowed considerable improvement in the approaches of cell-free DNA (cfDNA) analysis. Previously, we demonstrated the feasibility of the OncomineTM Lung cell-free DNA Assay (OLcfA) NGS panel when applied on plasma samples of post-tyrosine kinase inhibitors (TKIs) non-small cell lung cancer (NSCLC) patients. Here, we explored in detail the coverage metrics and variant calling of the assay and highlighted strengths and challenges by analyzing 92 plasma samples collected from a routine cohort of 76 NSCLC patients. First, performance of OLcfA was assessed using Horizon HD780 reference standards and sensitivity and specificity of 92.5% and 100% reported, respectively. The OLcfA was consequently evaluated in our plasma cohort and NGS technically successful in all 92 sequenced libraries. We demonstrated that initial cfDNA amount correlated positively with library yields (p < 0.0001) and sequencing performance (p < 0.0001). In addition, 0.1% limit of detection could be achieved even when < 10 ng cfDNA was employed. In contrast, the cfDNA amount seems to not affect the EGFR mutational status (p = 0.16). This study demonstrated an optimal performance of the OLcfA on routine plasma samples from NSCLC patients and supports its application in the liquid biopsy practice for cfDNA investigation in precision medicine laboratories.


Author(s):  
Maksim Jenihhin ◽  
Jaan Raik ◽  
Anton Chepurov ◽  
Uljana Reinsalu ◽  
Raimund Ubar

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