Hubbardblanton9723

Over 3200 discrete soybean samples were obtained from production locations around the United States during the years 2012-2016. Ground samples were scanned on near infrared spectrometers (NIRS) and analyzed by HPLC for total isoflavone and total saponin composition, as well as total carbohydrate composition. Multiple Linear Regression (MLR) analysis of preprocessed spectral data was used to develop optimized models to predict isoflavone content. The selection of a suitable calibration model was based on a high regression coefficient (R2), and lower standard error of calibration (SEC) values. Robust validated predictions were obtained for isoflavones, however less than robust calibrations were obtained for the total saponins. The correlations were not as robust for predicting the carbohydrate composition. NIRS is a suitable, rapid, nondestructive method to determine isoflavone composition in ground soybeans. Useful isoflavone composition predictions for large numbers of soybean samples can be obtained from quickly obtained NIRS scans. Published by Elsevier Ltd.The assessment of durum wheat geographical origin is an important and emerging challenge, due to the added value that a claim of origin could provide to the raw material itself, and subsequently to the final products (i.e. pasta). Up to now, the typical approach presented in literature is the evaluation of different isotopic ratios of the elements, but other techniques could represent an interesting and even more powerful alternative. In this study, using a non-targeted high-resolution mass spectrometry approach, a selection of chemical markers related to the geographical origin of durum wheat was provided. Samples of the 2016 wheat campaign were used to set up the model and to select the markers, while samples from the 2018 campaign were used for model and markers validation. Including in the samples set different geographies across different continents, a discrimination through Italian, European and Not European samples is now possible. The influence of encapsulation with caseins on the stability of cyanidin 3-O-glucoside (C3G) was investigated. The modified casein nanoparticles (MCs) prepared at pH 5.5 after heated at 80 °C for 30 min was applied to encapsulate C3G. The diameter of nanoparticle (MCs-C3G) was 110 ± 0.31 nm and zeta-potential was -8.83 ± 0.52 mV. The molecular weight of α-casein (32 kDa) and β-casein (25 kDa) increased along with the encapsulation of C3G. The interactions of MCs with C3G were examined at pH 6.3 by fluorescence spectroscopy and IR spectroscopy. MCs encapsulated C3G mainly via the hydrophobic interaction. The secondary structures of caseins were changed along with the combination of C3G, with a decreasing in α-helix, turn random, and coil structure, as well as increased β-sheet. In addition, the MCs-C3G interaction appeared to have a positive effect on the thermal, oxidation and photo stability of C3G. PURPOSE The reliability of lower extremity muscle activation patterns has not been clearly studied in a dual-belt instrumented treadmill environment. The primary study objective was to quantify the day-to-day reliability of quadriceps, hamstrings, gastrocnemius and gluteus medius activation patterns in healthy young adult gait. Secondarily, the reliability of spatiotemporal, and knee/hip motion and moment-based gait outcomes was assessed. SCOPE 20 young adults were recruited and tested on two separate days. Using standardized procedures, participants were prepared for surface electromyography and lower extremity motion capture. All individuals walked on a dual-belt instrumented treadmill while muscle activation, segment motions and ground reaction forces were recorded. Sagittal plane motion and net external sagittal and frontal plane moments were calculated. Discrete biomechanical and muscle activation measures were calculated, and non-negative matrix factorization extracted amplitude and temporal muscle activation features. Intraclass Correlation Coefficients, Standard Error of Measurement and Minimum Detectable Change were calculated. CONCLUSIONS High to excellent Intraclass correlation coefficients were found between visits for most primary and secondary outcomes. The absolute and relative reliability, including Minimum Detectable Change values, provided in this study support the use of dual-belt instrumented treadmill walking as an acceptable medium to collect biomechanical and lower extremity EMG outcomes for future studies. Progression-free survival (PFS) hazard ratios and gain in median PFS are suggested predictors of overall survival (OS) gain (with gain defined as experimental arm minus control arm values). We assessed use of half-lives (time to progression/death of half remaining patients). We reviewed randomized trials from Journal of Clinical Oncology and New England Journal of Medicine, 01/2012-06/12/2017 (discovery series) and 01/01/2007-12/31/2011 (first validation series). If PFS or OS gains were significant, we used PFS/OS curve nonlinear regression analysis to estimate half-lives and defined "half-life gain" as experimental minus control arm half-life. With low crossover and significant PFS differences, PFS half-life gains ≥1.5 months had positive-predictive-values for OS gains ≥2 months of 79 % and 86 % and PFS half-life gains less then 1.5 months had negative-predictive-values for OS gains less then 2 months of 95 % and 75 %, in discovery and validation series, respectively. PFS half-life gains more reliably predicted OS gains than PFS hazard ratios or gains in median PFS. Findings were confirmed in a second validation series. MEK inhibitor BACKGROUND Sensory processing difficulties (SPD) are present in children with Developmental Coordination Disorder (DCD) and Attention Deficit and Hyperactivity Disorder (ADHD). However, little is known about sensory processing variability in these disorders. OBJECTIVE The purpose of this study was to explore SPD among children with DCD, ADHD and co-occurring symptoms in comparison to children with typical development (TD) and to determine how potential social confounders may influence these associations. METHODS The study involved 452 children aged 6-12 years. The Short Sensory Profile-2 was used to assess sensory processing patterns. Multiple linear regressions were utilized to investigate the relationship between DCD, ADHD and co-occurring symptoms and sensory processing patterns, adjusting for social covariates. RESULTS Children with DCD and ADHD symptoms showed greater variability of atypical sensory processing patterns compared with TD children. Low registration and sensory sensibility issues were more prevalent in the DCD group.