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Objective To analyze the clinical value of metagenomic next-generation sequencing (mNGS) in the pathogen detection of elderly patients with community-acquired pneumonia (CAP). Methods A total of 112 elderly CAP patients were included in the study. The detection efficiency of pathogens using mNGS was compared with conventional microbiological tests (CMTs). Statistical analyses were conducted using Fisher′s exact test and ROC curves to evaluate the diagnostic differences between mNGS and CMTs. Results The overall diagnostic rate of mNGS was significantly higher than that of CMTs (94.6% vs. 65.2%, P＜0.001). The detection time for mNGS was significantly shorter than that for CMTs [ (26.3±5.9)h vs. (85.5±6.4)h; t=21.034, P＜0.05]. mNGS detected a higher number of bacterial, viral, fungal, and atypical pathogens compared to CMTs. The detection rate for mixed infections with mNGS was 76.4%, significantly higher than CMTs′ 60.3% (χ²=6.851, P＜0.05). Of the detected pathogens, there were 64 cases of agreement, 35 cases of partial agreement, and 13 cases of complete disagreement between mNGS and CMTs. Conclusion mNGS demonstrates superior capability in detecting a broader spectrum of pathogens in elderly patients with community-acquired pneumonia, highlighting its significant clinical value. [ABSTRACT FROM AUTHOR]

Copyright of China Tropical Medicine is the property of China Tropical Medicine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Soil arching effect is the key research point for anti-slide piles coming into effect. Taking the stress change of soil arch as the research point, first, a reasonable arch axis for soil arch was specified, and then a new stress-reduction model for soil arch was further derived, based on which the calculation of the critical arch shape parameters of the soil arch was quantified,and last a new three-level load sharing model for landslide was proposed. Research shows that the model calculation has demonstrated an exponential reduction in the stress between and behind piles. The two equations of inclination angle at the foothold and the thickness of soil arch are more practical due to full consideration of effecting factors. According to the bearing capacity of soil arch behind and between anti-slide piles, the three-level load sharing model can be consistent with the phase characteristics of interaction between landslide mass and anti-slide pile. The research can deepen the understanding in soil arching effect theory, and can also provide theoretical guidance to the design of anti-slide piles in landslide programs. [ABSTRACT FROM AUTHOR]

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)