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[1] The Aerodyne Aerosol Mass Spectrometer (AMS) has been designed to measure size-resolved mass distributions and total mass loadings of volatile and semivolatile chemical species in/on submicron particles. This paper describes the application of this instrument to ambient aerosol sampling. The AMS uses an aerodynamic lens to focus the particles into a(More)
This paper presents a built-in soft error resilience (BISER) technique for correcting radiation-induced soft errors in latches and flip-flops. The presented error-correcting latch and flip-flop designs are power efficient, introduce minimal speed penalty, and employ reuse of on-chip scan design-for-testability and design-for-debug resources to minimize area(More)
Manjula R. Canagaratna,1 John T. Jayne,1 David A. Ghertner,2 Scott Herndon,1 Quan Shi,1 Jose L. Jimenez,3 Philip J. Silva,1 Paul Williams,4 Thomas Lanni,5 Frank Drewnick,6 Kenneth L. Demerjian,6 Charles E. Kolb,1 and Douglas R. Worsnop1 1Center for Aerosol and Cloud Chemistry and Center for Atmospheric and Environmental Chemistry, Aerodyne Research Inc.,(More)
The soil-isolated strain XP was identified as Rhodococcus erythropolis. R. erythropolis XP could efficiently desulfurize benzonaphthothiophene, a complicated model sulfur compound that exists in crude oil. The desulfurization product of benzonaphthothiophene was identified as alpha-hydroxy-beta-phenyl-naphthalene. Resting cells could desulfurize diesel oil(More)
PURPOSE This article demonstrates a prominent noninvasive prenatal approach to assist the clinical diagnosis of a single-gene disorder disease, maple syrup urine disease, using targeted sequencing knowledge from the affected family. METHODS The method reported here combines novel mutant discovery in known genes by targeted massively parallel sequencing(More)
This paper presents a novel approach for road marking detection and classification based on machine learning algorithms. Road marking recognition is an important feature of an intelligent transportation system (ITS). Previous works are mostly developed using image processing and decisions are often made using empirical functions, which makes it difficult to(More)
The lack of effective anti-tumor therapy for renal cell carcinoma (RCC) has stimulated the search for novel target whose inhibition could block tumorigenesis. Recently, reduced DLC-1 has been shown to be associated with aggressive and highly metastatic renal cell carcinoma. In this study, the biological role of DLC-1 on cell growth, migration and cell cycle(More)
Duchenne and Becker muscular dystrophies (DMD/BMD) are the most commonly inherited neuromuscular disease. However, accurate and convenient molecular diagnosis cannot be achieved easily because of the enormous size of the dystrophin gene and complex causative mutation spectrum. Such traditional methods as multiplex ligation-dependent probe amplification plus(More)
The Affymetrix GeneChip® system is a commonly used platform for microarray analysis but the technology is inherently expensive. Unfortunately, changes in experimental planning and execution, such as the unavailability of previously anticipated samples or a shift in research focus, may render significant numbers of pre-purchased GeneChip® microarrays(More)
Dystrophin (DMD) gene is the largest gene containing 79 exons involving various mutation types and regions, and targeted next-generation sequencing (NGS) was employed in detecting DMD gene mutation in the present study. A literature-annotated disease nonsense mutation (c.10141C>T, NM_004006.1) in exon 70 that has been reported as Duchenne Muscular Dystrophy(More)