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Transcripts For MSNBCW The Rachel Maddow Show 20171123

Conceivable circumstances that the Democratic Party might win a senate seat in the state of alabama. And then, again, on that same day, on december 12th, there is an important deadline that you should know about. December 12th is the deadline by which all federal agencies in the government have to certify that they have cleansed themselves. They have rid themselves of software made by a company call ed kaspersky. Its suspected of being a hamburger helper for russian intelligence agencies trying to hack into u. S. Computers and steal important u. S. Data. So, that deadline again for all federal agencies to certify that they are Kaspersky Software free is december 12th. Interesting though, Largest Organization of them all, in the United States, the Largest Organization within the u. S. Government already doesnt use kaspersky. Thats the department of defense. And recently, the House Science Committee wrote to the department of defense and asked, why is that . How come you dont use it and

SAD 51 budget proposal up 7% over this year s budget

Compliance Software

Compliance Software
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Magnetic resonance biomarker assessment software (MR-BIAS): an automat by James C Korte, Zachary Chin et al

Objective. To provide an open-source software for repeatable and efficient quantification of T 1 and T 2 relaxation times with the ISMRM/NIST system phantom. Quantitative magnetic resonance imaging (qMRI) biomarkers have the potential to improve disease detection, staging and monitoring of treatment response. Reference objects, such as the system phantom, play a major role in translating qMRI methods into the clinic. The currently available open-source software for ISMRM/NIST system phantom analysis, Phantom Viewer (PV), includes manual steps that are subject to variability. Approach. We developed the Magnetic Resonance BIomarker Assessment Software (MR-BIAS) to automatically extract system phantom relaxation times. The inter-observer variability (IOV) and time efficiency of MR-BIAS and PV was observed in six volunteers analysing three phantom datasets. The IOV was measured with the coefficient of variation (CV) of percent bias (%bias) in T 1 and T 2 with respect to NMR reference value

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