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In this paper, we present the use of deep neural networks to estimate physical parameters from complex optical emission spectra of the D β /H β transition. Specifically, we focus on estimating the radio frequency electric field vector of the lower hybrid wave and isotope ratio within the scrape-off-layer plasma of the WEST tokamak. Fitting the spectral data using a traditional non-linear least squares analysis requires many free parameters and is computationally expensive, rendering the data unusable for real-time control. By implementing relatively small neural networks, the physical parameters can be directly extracted from the spectral data with reasonable accuracy in a few milliseconds. The deep neural network prediction can serve as input for a reduced model using least-squares fitting or for real-time control. We show that deep neural networks can be an effective tool for analyzing complex multicomponent spectra, providing a speedup of more than 1 0 5 times compared to least residual analysis, with an accuracy of 0.5% for the isotope ratio, and 0.09 kV/cm and 0.38 kV/cm for the RF radial and poloidal electric field respectively. • Deep Neural Network as surrogate model for multicomponent complex spectra analysis. • Principal component analysis applied to neural network dimensionality reduction on experimental spectra. • Estimation of the spectra parameters with high throughput. [ABSTRACT FROM AUTHOR]

Hermansky-Pudlak syndrome (HPS) is an autosomal recessive condition characterized by a bleeding diathesis and hypopigmentation of the skin, hair, and eyes. Some HPS patients develop other complications such as granulomatous colitis and/or fatal pulmonary fibrosis. Eight genes have been associated with this condition, resulting in subtypes HPS-1 through HPS-8. The HPS gene products are involved in the biogenesis of specialized lysosome-related organelles such as melanosomes and platelet delta granules. HPS1 and HPS4 form a stable complex named biogenesis of lysosome-related organelles complex (BLOC)-3, and patients with BLOC-3 or AP-3 deficiency develop pulmonary fibrosis. Therefore, it is important to subtype each HPS patient. HPS type 1 (HPS-1) occurs frequently on the island of Puerto Rico because of a founder mutation. Here, we describe seven mutations, six of which, to our knowledge, are previously unreported in the HPS1, HPS4, and HPS5 genes among patients of Mexican, Uruguayan, Honduran, Cuban, Venezuelan, and Salvadoran ancestries. Our findings demonstrate that the diagnosis of HPS should be considered in Hispanic patients with oculocutaneous albinism and bleeding symptoms. Moreover, such patients should not be assumed to have the HPS-1 subtype typical of northwest Puerto Rican patients. We recommend molecular HPS subtyping in such cases, as it may have significant implications for prognosis and intervention. [ABSTRACT FROM AUTHOR]