The kinetics of the reactions of cyano radical, CN (X2sigma+) with three hydrocarbons, propane (CH3CH2CH3), propene (CH3CH=CH2) and 1-butyne (CH[triple band]CCH2CH3) have been studied over the temperature range of 23-298 K using a CRESU (Cinétique de Réaction en Ecoulement Supersonique Uniforme or Reaction Kinetics in Uniform Supersonic Flow) apparatus combined with the pulsed laser photolysis-laser induced fluorescence technique. These reactions are of interest for the cold atmospheres of Titan, Pluto and Triton, as they might participate in the formation of nitrogen and carbon bearing molecules, including nitriles, that are thought to play an important role in the formation of hazes and biological molecules. All three reactions are rapid with rate coefficients in excess of 10(-10) cm3 molecule(-1) s(-1) at the lowest temperatures of this study and show behaviour characteristic of barrierless reactions. Temperature dependences, different for each reaction, are compared to those used in the most recent photochemical models of Titan's atmosphere.
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http://dx.doi.org/10.1039/c004219f | DOI Listing |
Biotechnol Bioeng
December 2024
Department of Biological and Chemical Engineering, Aarhus University, Aarhus, Denmark.
Acetogenic bacteria play an important role in various biotechnological processes, because of their chemolithoautotrophic metabolism converting carbon dioxide with molecular hydrogen (H) as electron donor into acetate. As the main factor limiting acetogenesis is often H, insights into the H consumption kinetics of acetogens are required to assess their potential in biotechnological processes. In this study, initial H consumption rates at a range of different initial H concentrations were measured for three different acetogens.
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December 2024
Xi'an Chest Hospital, Xi'an, Shaanxi Province, China.
Objectives: This study evaluates the effectiveness of nanopore sequencing for accurate detection of Mycobacterium tuberculosis pathogens and drug resistance mutations in clinical specimens.
Methods: A retrospective analysis of 2,421 specimens from suspected tuberculosis patients admitted to Xi'an Chest Hospital from 2022 to 2023 was conducted, with 131 specimens undergoing via real-time, fluorescence-based quantitative Polymerase Chain Reaction (qPCR), simultaneous amplification and testing RNA (RNA), Mycobacterium culture, Mycobacterium smear, and nanopore sequencing. Employing clinical tuberculosis diagnoses as the gold standard, sensitivity, specificity, positive predictive value, negative predictive value, concordance rate, and Kappa coefficient were measured for the five detection techniques.
BMC Geriatr
December 2024
Harbin Medical University, Daqing, Heilongjiang Province, China.
Background: Standardized and systematic quality assessments of chronic pain management, particularly among older adult populations, are lacking in resource-limited community settings. A specific set of indicators to evaluate the quality of chronic pain management in this population has yet to be developed. Therefore, the present study constructed a set of indicators to assess the quality of chronic pain management in Chinese community-dwelling older adults, providing a standardized reference and guidance for community health centers to manage chronic pain in this population.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
Accidental bending of the snare sheath occasionally occurs during cold snare polypectomy (CSP). We aimed to demonstrate whether snare bending reduces resection ability and, if it does, what causes this reduction. Using currently available CSP snares and prototype snares, we investigated changes in the resection ability of bent snares as well as the stiffness of their sheaths and wire spindles.
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December 2024
School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar, 161006, China.
A prediction model of the pig house environment based on Bayesian optimization (BO), squeeze and excitation block (SE), convolutional neural network (CNN) and gated recurrent unit (GRU) is proposed to improve the prediction accuracy and animal welfare and take control measures in advance. To ensure the optimal model configuration, the model uses a BO algorithm to fine-tune hyper-parameters, such as the number of GRUs, initial learning rate and L2 normal form regularization factor. The environmental data are fed into the SE-CNN block, which extracts the local features of the data through convolutional operations.
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