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Results for “explainability”

Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 271 records · Page 15
All sourcesNASA NTRSDOE OSTI
DOE OSTI2013

Poor Prognosis Associated With Human Papillomavirus α7 Genotypes in Cervical Carcinoma Cannot Be Explained by Intrinsic Radiosensitivity

Purpose: To investigate the relationship between human papillomavirus (HPV) genotype and outcome after radiation therapy and intrinsic radiosensitivity. Methods and Materials: HPV genotyping was performed on cervix biopsies by polymerase chain reaction using SPF-10 broad-spectrum primers, followed by deoxyribonucleic acid enzyme immunoassay and genotyping by reverse hybridization line probe assay (LiPA{sub 25}) (version 1) (n=202). PapilloCheck and quantitative reverse transcription-polymerase chain reaction were used to genotype cervix cancer cell lines (n=16). Local progression-free survival after radiation therapy alone was assessed using log-rank and Cox proportionate hazard analyses. Intrinsic radiosensitivity was measured as surviving fraction at 2 Gy (SF2) using clonogenic assays. Results: Of the 202 tumors, 107 (53.0%) were positive for HPV16, 29 (14.4%) for HPV18, 9 (4.5%) for HPV45, 23 (11.4%) for other HPV genotypes, and 22 (10.9%) were negative; 11 (5.5%) contained multiple genotypes, and 1 tumor was HPV X (0.5%). In 148 patients with outcome data, those with HPVα9-positive tumors had better local progression-free survival compared with α7 patients in univariate (P<.004) and multivariate (hazard ratio 1.54, 95% confidence interval 1.11-1.76, P=.021) analyses. There was no difference in the median SF2 of α9 and α7 cervical tumors (n=63). In the cell lines, 9 were α7 and 4 α9 positive and 3 negative. There was no difference in SF2 between α9 and α7 cell lines (n=14). Conclusion: The reduced radioresponsiveness of α7 cervical tumors is not related to intrinsic radiosensitivity.

62 RADIOLOGY AND NUCLEAR MEDICINE↗
DOE OSTI2017

Analysis of air mass trajectories to explain observed variability of tritium in precipitation at the Southern Sierra Critical Zone Observatory, California, USA

Understanding the behavior of tritium, a radioactive isotope of hydrogen, in the environment is important to evaluate the exposure risk of anthropogenic releases, and for its application as a tracer in hydrology and oceanography. To understand and predict the variability of tritium in precipitation, HYSPLIT air mass trajectories were analyzed for 16 aggregate precipitation samples collected over a 2 year period at irregular intervals at a research site located at 2000 m elevation in the southern Sierra Nevada (California, USA). Attributing the variation in tritium to specific source areas confirms the hypothesis that higher latitude or inland sources bring higher tritium levels in precipitation than precipitation originating in the lower latitude Pacific Ocean. In this case, the source of precipitation accounts for 79% of the variation observed in tritium concentrations. In conclusion, air mass trajectory analysis is a promising tool to improve the predictions of tritium in precipitation at unmonitored locations and thoroughly understand the processes controlling transport of tritium in the environment.

54 ENVIRONMENTAL SCIENCES↗
DOE OSTI2018

A micro-mechanism to explain the post-DRX grain growth at temperatures > 0.8Tm

Highlights: • Austenitic grain growth during working at temperature > 0.8T{sub m} is reduced by > 50%. • Growth mechanism during loading is distinct from growth in absence of loading. • During loading, growth occurs due to alignment of slip planes and grain merging. • Interruption of loading causes competitive growth and limits grain size. • Interrupted loading results in optimal microstructural and mechanical properties. - Abstract: A micro-mechanism responsible for the occurrence of post-dynamic recrystallization (DRX) grain growth during deformation at T > 0.8T{sub m} is described. Thermo-mechanical testing, microstructural characterization and diffraction studies reveal the link between slip and grain growth. If deformation is imparted in a single stage, grains grow by a cooperative growth process involving grain rotation and alignment of slip planes. This mechanism changes when deformation is interrupted and controlled intermediate soaking is performed before re-loading. A premeditated control of mechanism is shown to yield favourable microstructural and mechanical properties. A strategy to apply this control to industrial hot deformation is outlined.

36 MATERIALS SCIENCE↗
DOE OSTI2023

Explainability and human intervention in autonomous scanning probe microscopy

The broad adoption of machine learning (ML)-based autonomous experiments (AEs) in material characterization and synthesis requires strategies development for understanding and intervention in the experimental workflow. Here, we introduce and realize a post-experimental analysis strategy for deep kernel learning-based autonomous scanning probe microscopy. This approach yields real-time and post-experimental indicators for the progression of an active learning process interacting with an experimental system. We further illustrate how this approach can be applied to human-in-the-loop AEs, where human operators make high-level decisions at high latencies setting the policies for AEs, and the ML algorithm performs low-level, fast decisions. The proposed approach is universal and can be extended to other techniques and applications such as combinatorial library analysis.

47 OTHER INSTRUMENTATION↗