Entry in Corrections, Page 13

Felipe Cussen was in trouble. He needed help to correct a poem. He sent some friends and acquaintances a desperate call. The three volumes of Correcciones are the result. Volume I collates the Spanish-language responses. Volume II collates the English-language responses. Volume III collates the visual responses. Scott Weintraubs response is found on page 13 of Volume II

Genomic Analysis of \u3cem\u3eMeiothermus ruber\u3c/em\u3e Mrub_1907 and \u3cem\u3eMeiothermus ruber\u3c/em\u3e Mrub_1844 with Potential Ortholog \u3cem\u3eEscherichia coli\u3c/em\u3e b3774 IlvC and \u3cem\u3eEscherichia coli\u3c/em\u3e b3771 IlvC Gene through Bioinformatics

This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation – Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of the genes Mrub_1907 and Mrub_1844. We predict that Mrub__1907 encodes the enzyme ketol-acid reductoisomerase (DNA coordinates 1966630..1967649 on the reverse strand), which is the fourth step of the L-isoleucine pathway (from threonine) (KEGG map number 00290). It catalyzes the conversion of (R)-3- Hydroxy-3-methyl-2-oxopentanoate to (R)-2-3 Dihydroxy-3-methylpentanoate. The E. coli K12 MG1655 ortholog is predicted to be b3774, which has the gene identifier ilvC. We predict that Mrub__1844 encodes the enzyme dihydroxy-acid dehydratase (DNA coordinates 1901362..1903026) on the reverse strand), which is the fifth step of the L-isoleucine pathway (from threonine) (KEGG map number 00290). It catalyzes the conversion of (R)-2-3 Dihydroxy-3-methylpentanoate to (S)-3-Methyl-2-oxopentanoate. The E. coli K12 MG1655 ortholog is predicted to be b3771, which has the gene identifier ilvD

Genomic Analysis of \u3cem\u3eMeiothermus ruber\u3c/em\u3e Mrub_1907 and \u3cem\u3eMeiothermus ruber\u3c/em\u3e Mrub_1844 with Potential Ortholog \u3cem\u3eEscherichia coli\u3c/em\u3e b3774 IlvC and \u3cem\u3eEscherichia coli\u3c/em\u3e b3771 IlvC Gene through Bioinformatics

This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation – Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of the genes Mrub_1907 and Mrub_1844. We predict that Mrub__1907 encodes the enzyme ketol-acid reductoisomerase (DNA coordinates 1966630..1967649 on the reverse strand), which is the fourth step of the L-isoleucine pathway (from threonine) (KEGG map number 00290). It catalyzes the conversion of (R)-3- Hydroxy-3-methyl-2-oxopentanoate to (R)-2-3 Dihydroxy-3-methylpentanoate. The E. coli K12 MG1655 ortholog is predicted to be b3774, which has the gene identifier ilvC. We predict that Mrub__1844 encodes the enzyme dihydroxy-acid dehydratase (DNA coordinates 1901362..1903026) on the reverse strand), which is the fifth step of the L-isoleucine pathway (from threonine) (KEGG map number 00290). It catalyzes the conversion of (R)-2-3 Dihydroxy-3-methylpentanoate to (S)-3-Methyl-2-oxopentanoate. The E. coli K12 MG1655 ortholog is predicted to be b3771, which has the gene identifier ilvD

A Spatial-dynamical Framework For Evaluation Of Satellite Rainfall Products For Flood Prediction

Rainfall maps that are derived from satellite observations provide hydrologists with an unprecedented opportunity to forecast floods globally. However, the limitation of using these precipitation estimates with respect to producing reliable flood forecasts at multiple scales are not well understood. To address the scientific and practical question of applicability of space-based rainfall products for global flood forecasting, a data evaluation framework is developed that allows tracking the rainfall effects in space and time across scales in the river network. This provides insights on the effects of rainfall product resolution and uncertainty. Obtaining such insights is not possible when the hydrologic evaluation is based on discharge observations from single gauges. The proposed framework also explores the ability of hydrologic model structure to answer questions pertaining to the utility of space-based rainfall observations for flood forecasting. To illustrate the framework, hydrometeorological data collected during the Iowa Flood Studies (IFloodS) campaign in Iowa are used to perform a hydrologic simulation using two different rainfall-runoff model structures and three rainfall products, two of which are radar based [stage IV and Iowa Flood Center (IFC)] and one satellite based [TMPA-Research Version (RV)]. This allows for exploring the differences in rainfall estimates at several spatial and temporal scales and provides improved understanding of how these differences affect flood predictions at multiple basin scales. The framework allows for exploring the differences in peak flow estimation due to nonlinearities in the hydrologic model structure and determining how these differences behave with an increase in the upstream area through the drainage network. The framework provides an alternative evaluation of precipitation estimates, based on the diagnostics of hydrological model results

System derived spatial-temporal CNN for high-density fNIRS BCI

An intuitive and generalisable approach to spatial-temporal feature extraction for high-density (HD) functional Near-Infrared Spectroscopy (fNIRS) brain-computer interface (BCI) is proposed, demonstrated here using Frequency-Domain (FD) fNIRS for motor-task classification. Enabled by the HD probe design, layered topographical maps of Oxy/deOxy Haemoglobin changes are used to train a 3D convolutional neural network (CNN), enabling simultaneous extraction of spatial and temporal features. The proposed spatial-temporal CNN is shown to effectively exploit the spatial relationships in HD fNIRS measurements to improve the classification of the functional haemodynamic response, achieving an average F1 score of 0.69 across seven subjects in a mixed subjects training scheme, and improving subject-independent classification as compared to a standard temporal CNN

Production of (R)-3-hydroxybutyric acid from methane by in vivo depolymerization of polyhydroxybutyrate in Methylocystis parvus OBBP

Producción CientíficaMethylocystis parvus OBBP accumulates polyhydroxybutyrate (PHB) using methane as the sole carbon and energy source. In this work, the feasibility of producing (R)-3-hydroxybutyric acid (R3HBA) via intracellularly accumulated PHB through depolymerization (in-vivo) was investigated. Results showed that a PHB to R3HBA conversion of 77.2 ± 0.9% (R3HBA titer of 0.153 ± 0.002 g L-1) can be attained in a mineral medium containing 1 g L-1 KNO3 at 30 °C with shaking at 200 rpm and a constant pH of 11 for 72 h. Nitrogen deprivation and neutral or acidic pHs strongly reduced the excreted R3HBA concentration. Reduced oxygen availability negatively affected the R3HBA yield, which decreased to 73.6 ± 4.9% (titer of 0.139 ± 0.01 g L-1) under microaerobic conditions. Likewise, the presence of increasing concentrations of R3HBA in the medium before the onset of PHB depolymerization reduced the initial R3HBA release rate and R3HBA yield.Junta de Castilla y León - Fondo Europeo de Desarrollo Regional (projects CLU 2017-09 and UIC 315)Agencia Nacional de Investigación y Desarrollo de Chile (projects ANID/CONICYT Fondecyt Regular 1211434 and ANID/CONICYT Fondecyt Regular 1190521)Comisión Nacional de Investigación Científica y Tecnológica - PCI (grant REDES190137

Correlates of Heart Rate Measures with Incidental Physical Activity and Cardiorespiratory Fitness in Overweight Female Workers

[EN] Previous studies have suggested that physical activity (PA) levels and cardiorespiratory fitness (CRF) impact on the autonomic control of heart rate (HR). However, previous studies evaluating PA levels did not discriminate between incidental PA and regular exercise. We hypothesized that incidental PA “per se” would influence cardiac autonomic indices as assessed via HR variability (HRV) and HR recovery (HRR) in non-exercisers. Thus, the objective of this study was to investigate the relationships between objective PA levels, CRF, and cardiac autonomic indices in adult, regular non-exercising female workers. After familiarization with procedures and evaluation of body composition, 21 women completed a submaximal cycling test and evaluation of HRR on four different days. Resting (2-min seated and standing) and ambulatory (4-h) HRV were also recorded. Levels of PA were assessed by accelerometry over five consecutive days (i.e., Wednesday to Sunday). Maximum oxygen consumption (VO2max) was measured as an index of CRF. As reliability was low to moderate for most HR measures, relationships between these and PA and CRF were examined using the 4-day average measures. Significant correlations were identified between post-exercise HRR in the first min with various PA indices (daily moderate PA, daily vigorous PA, and the sum of vigorous and very vigorous daily PA). Additionally, VO2max was significantly correlated to HRV but not to HRR. The current results indicated that CRF was influential in enhancing HRV while incidental or non-exercise based PA was associated with greater autonomic reactivation in adult overweight women. Therefore, both CRF and non-exercise based PA contribute significant but diverse effects on cardiac health. The use of 4-day averages instead of single measures for evaluation of autonomic control of HR may provide a better indication of regular cardiac autonomic function that remains to be refined