Ulriksensilver1091

Further experiments with methyl phenyl sulfoxide (PMSO) as the probe indicated that Cl- would facilitate the shift of reactive species from Fe(IV) to radicals (SO4·- or ·OH) in the system. Both hydroxylation and nitration intermediate products were detected in the oxidation of DMP. Cl- promoted the formation of hydroxylation intermediates and reduced the formation of nitration intermediates. This study revealed for the first time that Cl- could shift reactive species from Fe(IV) to radicals in PMS/Fe(II) system, raising attention to the influence of the coexisting anions (especially Cl-) for pollutants oxidation in iron-related oxidation processes.At sites where aqueous film forming foams (AFFFs) are used for fire suppression or training activities, interactions between dissolved foam constituents and organic liquids could alter contaminant migration in the subsurface. In this study, batch reactor and column experiments were conducted to investigate the potential for AFFF solutions to enhance the solubility and mobility of three representative non-aqueous phase liquid (NAPLs), JP-4 jet fuel, trichloroethene (TCE), and tetrachloroethene (PCE). For AFFF concentrations up to 5% wt. (50,000 mg/L), aqueous solubilities of TCE and PCE increased by less than 50%, indicating the absence of micellar solubilization. However, NAPL-water interfacial tensions were reduced to less than 1.5 mN/m and resulted in accumulation of up to 2.25 mg/m2 of AFFF at the NAPL-water interface. To assess the potential for AFFF to mobilize residual (entrapped) NAPL at a field application rate of 3% wt. (30,000 mg/L), columns were packed with two size fractions of Ottawa sands (20-30bution behavior in the subsurface through enhanced spreading above the water table (e.g., JP-4) or penetration into lower-permeability media (e.g., TCE, PCE).Deep learning (DL) methods have been increasingly applied to neuroimaging data to identify patients with psychiatric and neurological disorders. This review provides an overview of the different DL applications within psychiatry and compares DL model accuracy to standard machine learning (SML). Fifty-three articles were included for qualitative analysis, primarily investigating autism spectrum disorder (ASD; n = 22), schizophrenia (SZ; n = 22) and attention-deficit/hyperactivity disorder (ADHD; n = 9). Thirty-two of the thirty-five studies that directly compared DL to SML reported a higher accuracy for DL. Only sixteen studies could be included in a meta-regression to quantitatively compare DL and SML performance. This showed a higher odds ratio for DL models, though the comparison attained significance only for ASD. Our results suggest that deep learning of neuroimaging data is a promising tool for the classification of individual psychiatric patients. However, it is not yet used to its full potential most studies use pre-engineered features, whereas one of the main advantages of DL is its ability to learn representations of minimally processed data. Our current evaluation is limited by minimal reporting of performance measures to enable quantitative comparisons, and the restriction to ADHD, SZ and ASD as current research focusses on large publicly available datasets. To truly uncover the added value of DL, we need carefully designed comparisons of SML and DL models which are yet rarely performed.Genetic approaches to modify starch in crops have been limited by our knowledge of starch biosynthesis. Recent advances in Arabidopsis have revealed key genetic components determining the size, shape and number of granules in a plastid. This has opened the doors to new discoveries on granule initiation in crop species. In parallel, advances in genomic resources and gene editing technologies allow targeted manipulation of starch biosynthesis genes in isogenic crop backgrounds. Such technologies have been successfully deployed to alter starch composition, and can now be used to modify other starch traits. This will allow the complex relationships between starch structure and physicochemical properties to be elucidated, which will facilitate the rational manipulation of starches in crops.The aim of the study was to evaluate the rate of obstetric complications and the burden of obstetric outcomes in antiphospholipid syndrome (APS), non-criteria APS and asymptomatic antiphospholipid antibodies (aPL) carriers. From 2013-2018, 163 pregnant subjects with aPL antibodies and 785 controls were enrolled. Penalized logistic regression was used to compare obstetric complications. Cases included 62 complete APS (38 %), 48 non-criteria APS (29.4 %) and 53 (32.5 %) asymptomatic aPL-carriers. Connective tissue diseases (CTDs) were diagnosed in 31.3 % of cases. The rate of high-risk aPL profile was higher (p less then .01) in APS (67.7 %) compared to non-criteria (14.6 %) and aPL-carriers (9.4 %). Double/triple positivity was 33.9 % (p less then .05 compared to non-criteria and aPL-carriers) in APS, 10.4 % in non-criteria and 9.4 % in aPL-carriers. The rate of adverse pregnancy outcomes were 5.6 % in controls, 41.9 % (adj.OR = 6.95 %CI = 2.7-13.5) in APS, 25 % (adj.OR = 4.4,95 %CI = 2-9.4) in non-criteria and 28.3 % (OR = 4.95 %CI = 1.8-8.8) in aPL-carriers. CTDs were independently associated with an increased risk of adverse obstetric outcomes (OR = 2.8,95 %CI = 1.36-5.89). The attributable fraction (AF) of adverse obstetric events was higher among low-risk antibodies compared to high-risk (AF = 0.27,95 %CI = 0.22-0.31 vs AF = 0.16,95 %CI = 0.16-0.2,p less then .01) and among single positivity compared to double/triple positivity (AF = 0.32,95 %CI = 0.26-0.37 vs AF = 0.11,95 %CI = 0.09-0.13,p less then .01) suggesting that low-risk subjects are responsible for a high burden of obstetric complications.

Metaplastic breast cancer (MBC) is a rare and aggressive subtype of breast. However, the effect of molecular subtype on treatment and prognosis of MBC remains unclear.

The Surveillance, Epidemiology, and End Results database was used to analyze patients with MBC between 2010 and 2016. Molecular subtype was stratified to TN group (ER and PR-/HER2-), HER2 group (ER and PR-/HER2+, ER/PR+ and HER2+), and HR group (ER/PR+ and HER2-). The breast cancer-specific survival (BCSS) differences were estimated using multivariate Cox regression model and Kaplan-Meier curves.

We included 1665 patients with median follow-up time of 27 months (range 0-83 months). Futibatinib 1154 (69.3%), 65 (3.9%), and 446 (26.8%) patients presented in TN group, HER2 group, and HR group, respectively. On multivariate Cox analysis, the prognosis was related to age, tumor size, regional node metastasis, and surgery. Molecular subtype remained no impact on BCSS. Radiotherapy (RT) was associated with better prognosis. Patients cannot benefit from chemotherapy.