A consistent set of group additive values DeltaGAV degrees for 46 groups is derived, allowing the calculation of rate coefficients for hydrocarbon radical additions and beta-scission reactions. A database of 51 rate coefficients based on CBS-QB3 calculations with corrections for hindered internal rotation was used as training set. The results of this computational method agree well with experimentally observed rate coefficients with a mean factor of deviation of 3, as benchmarked on a set of nine reactions. The temperature dependence on the resulting DeltaGAV degrees s in the broad range of 300-1300 K is limited to +/-4.5 kJ mol(-1) on activation energies and to +/-0.4 on logA (A: pre-exponential factor) for 90 % of the groups. Validation of the DeltaGAV degrees s was performed for a test set of 13 reactions. In the absence of severe steric hindrance and resonance effects in the transition state, the rate coefficients predicted by group additivity are within a factor of 3 of the CBS-QB3 ab initio rate coefficients for more than 90 % of the reactions in the test set. It can thus be expected that in most cases the GA method performs even better than standard DFT calculations for which a deviation factor of 10 is generally considered to be acceptable.
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http://dx.doi.org/10.1002/cphc.200700469 | DOI Listing |
Radiology
January 2025
Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA, US.
Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.
View Article and Find Full Text PDFJ Chromatogr Sci
January 2025
Faculty of Pharmacy, Department of Analytical Chemistry, Istanbul Health and Technology University, Istanbul 34469, Turkey.
This study presents a combination of High Performance Liquid Chromatography (HPLC) and ultraviolet (UV) detection that provides the quantification of agnuside in human plasma specimens. Reverse-phase chromatographic separation was carried out with C18 column (150 mm × 4.6 mm × 5 μm), at 25°C with isocratic elution of the mobile phase containing methanol: 0.
View Article and Find Full Text PDFBackground: Anxiety disorders is a significant contributor to the Global Burden of Diseases (GBD), particularly in the aftermath of the COVID-19 pandemic, which has exacerbated the issue. Previous studies have not examined the impact of the COVID-19 pandemic on anxiety disorders over the entire time series, nor have they offered predictions regarding future trends of global anxiety disorders in the aftermath of the pandemic. This study aims to present the Age-Standardized Prevalence Rates (ASPR), Age-Standardized Incidence Rates (ASIR), and disability-adjusted life years (DALYs) associated with anxiety disorders from 1990 to 2021 across 204 countries and regions, emphasizing the age structure and the disease burden following the pandemic.
View Article and Find Full Text PDFFront Genet
January 2025
College of Sciences, Inner Mongolia University of Technology, Hohhot, China.
Background: The realization of many protein functions requires binding with ligands. As a significant protein-binding ligand, ATP plays a crucial role in various biological processes. Currently, the precise prediction of ATP binding residues remains challenging.
View Article and Find Full Text PDFPsychol Res Behav Manag
January 2025
Department of Psychological Medicine, Fudan University Shanghai Cancer Center, Shanghai, 200032, People's Republic of China.
Background: Cognition is central to acquiring knowledge and learning new experiences, critical for social behavior and quality of life. Despite its importance, traditional cognitive assessment tools face limitations, including high labor costs and human error, underscoring an urgent need for cost-effective, precise tools to assess cognitive functions.
Objective: This study aims to address this gap by evaluating the reliability and validity of the Chinese version of the Adaptive Cognitive Evaluation (ACE) tool among college students, thereby contributing to the advancement of cognitive research and disease management strategies in China.
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