Verification and validation of the SAPHIRE Version 4.0 PRA software package

Bolander, Thomas; Calley, M.B.; Capps, E.L.

doi:10.2172/10140203

Cited by 3 publications

(4 citation statements)

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“…To count light flashes accurately, we employed a computer running the remarkable pulse height analysis program PRA which was originally intended for gamma ray spectroscopy with energy sensitive detectors [29]. We developed the technique by running the experiment with suspensions of 10 micron-diameter colloidal particles, aimed to mimic cells in shape and size.…”

Section: Automated Continuous Counting Methodsmentioning

confidence: 99%

Confirmation and variability of the Allee effect in Dictyostelium discoideum cell populations, possible role of chemical signaling within cell clusters

Šegota¹,

Edwards²,

Campello³

et al. 2022

Phys. Biol.

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In studies of the unicellular eukaryote Dictyostelium discoideum, many have anecdotally observed that cell dilution below a certain "threshold density” causes cells to undergo a period of slow growth (lag). However, little is documented about the slow growth phase and the reason for different growth dynamics below and above this threshold density. In this paper, we extend and correct our earlier work to report an extensive set of experiments, including the use of new cell counting technology, that set this slow-to-fast growth transition on a much firmer biological basis. We show that dilution below a certain density (around 10E4 cells/ml) causes cells to grow slower on average and exhibit a large degree of variability: sometimes a sample does not lag at all, while sometimes it takes many moderate density cell cycle times to recover back to fast growth. We perform conditioned media experiments to demonstrate that a chemical signal mediates this endogenous phenomenon. Finally, we argue that while simple models involving fluid transport of signal molecules or cluster-based signaling explain typical behavior, they do not capture the high degree of variability between samples but nevertheless favor an intra-cluster mechanism.

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Section: Automated Continuous Counting Methodsmentioning

confidence: 99%

Confirmation and variability of the Allee effect in Dictyostelium discoideum cell populations, possible role of chemical signaling within cell clusters

Šegota¹,

Edwards²,

Campello³

et al. 2022

Phys. Biol.

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“…Distribution A should be distriiuted as 2x2 1Distribution B should be distributed as 5x2 (1) Distribution C should be distriiuted as 2x2 2Distniution D should be distributed as (1/50)x2 5Distniution E should be distributed as sooOx2 5Distribution F should be distributed as &OO) Distribution G should be undefined Distribution H should be zero Distribution I should be zero Distriiution J should be distributed as ~~ ( 1 ) . NUREG/CR-6116, Vol.…”

Section: Acceptance Criteriamentioning

confidence: 99%

“…Distniution A should be distributed as 2x2 (1) Distriiution B should be distributed as 5x2 ( 1) Distribution C should be distributed as 2x2 2Distribution D should be distributed as (1/50)x2 5Distribution E should be distniuted as 8000x2 5Distribution F should be distributed as ~~ ( 1 0 0…”

mentioning

confidence: 99%

Systems analysis programs for Hands-on integrated reliability evaluations (SAPHIRE) Version 5.0: Verification and validation (V&V) manual. Volume 9

Jones¹,

Calley²,

Capps³

et al. 1995

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A verification and validation (V&V) process has been performed for the System Analysis Programs for Hands-on Integrated Reliability Evaluation (SAP=) Version 5.0. SAPHIRE is a set of four computer programs that the Nuclear Regulatory Commission has developed for the performance of probabilistic risk assessments. These programs allow an analyst to perform many of the functions necessary to create, quantify, and evaluate the risk associated with a facility or process being analyzed. The programs included in this set are Integrated Reliability and Risk Analysis System (IRRAS), System Analysis and Risk Assessment (SARA), Models And Results Database (MAR-D), and Fault tree, Event tree, and Piping and instrumentation diagram (FEP) graphical editor. The intent of this program is to perform a V&V of successive versions of S A P H U E Previous efforts have been the V&V of SAPHIRE Version 4.0. The SAPHIRE 5.0 V&V plan is based on the SAPHIRE 4.0 V&V plan with revisions to incorporate lessons learned from the previous effort Also, the SAPHIRE 5.0 vital and nonvital test procedures are based on the test procedures from SAPHIRE 4.0 with revisions to include the new SAPHIRE 5.0 features as well as to incorporate lessons learned from the previous effort. The majority of the results from the testing was acceptable; however, some discrepancies between expected code operation and actual code operation were identified. Modifications that have been made to SAPHIRE are identified.

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“…Development of IRRAS continued over the following years. However, limitations to the state of the-art during those initial stages led to the development of several independent modules to complement IRRAS capabilities (Russell 1990;1991;1992;1994). These modules were known as Models and Results Database (MAR-D), System Analysis and Risk Assessment (SARA), and Fault Tree, Event Tree, and Piping and Instrumentation Diagram (FEP).…”

Section: Introductionmentioning

confidence: 99%