9,921 research outputs found

    A Clustering Algorithm in Group Decision Making

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    Highly computationally efficient state filter based on the delta operator

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    The Kalman filter is not suitable for the state estimation of linear systems with multistate delays, and the extended state vector Kalman filtering algorithm results in heavy computational burden because of the large dimension of the state estimation covariance matrix. Thus, in this paper, we develop a novel state estimation algorithm for enhancing the computational efficiency based on the delta operator. The computation analysis and the simulation example show the performance of the proposed algorithm

    Age as a risk factor for acute mountain sickness upon rapid ascent to 3,700 m among young adult Chinese men.

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    BackgroundThe aim of this study was to explore the relationship between age and acute mountain sickness (AMS) when subjects are exposed suddenly to high altitude.MethodsA total of 856 young adult men were recruited. Before and after acute altitude exposure, the Athens Insomnia Scale score (AISS) was used to evaluate the subjective sleep quality of subjects. AMS was assessed using the Lake Louise scoring system. Heart rate (HR) and arterial oxygen saturation (SaO2) were measured.ResultsResults showed that, at 500 m, AISS and insomnia prevalence were higher in older individuals. After acute exposure to altitude, the HR, AISS, and insomnia prevalence increased sharply, and the increase in older individuals was more marked. The opposite trend was observed for SaO2. At 3,700 m, the prevalence of AMS increased with age, as did severe AMS, and AMS symptoms (except gastrointestinal symptoms). Multivariate logistic regression analysis showed that age was a risk factor for AMS (adjusted odds ratio [OR] 1.07, 95% confidence interval [CI] 1.01-1.13, P<0.05), as well as AISS (adjusted OR 1.39, 95% CI 1.28-1.51, P<0.001).ConclusionThe present study is the first to demonstrate that older age is an independent risk factor for AMS upon rapid ascent to high altitude among young adult Chinese men, and pre-existing poor subjective sleep quality may be a contributor to increased AMS prevalence in older subjects

    Therapeutic effects of Saikosapoin D on bleomycininduced pulmonary fibrosis in mice via regulation of IL- 33/ST2 pathway

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    Purpose: To investigate the therapeutic effects of saikosapoin D (SSD) on bleomycin (BLM)-induced pulmonary fibrosis (PF) in mice and its probable mechanisms.Methods: PF mice were prepared by intraperitoneal (i.p.) injection of BLM (5 mg/kg). Twenty-four hours later, 72 mice in SSD group were administered SSD (1.8 mg/kg, ip). After 3, 7, 14 and 28 days of injection, the mice were sacrificed. Blood samples and lung tissues were collected from 6 mice in each group. The lung tissues were subjected to histological examination. In addition, expressions of MyD88, TRAF6, IL-33 and ST2 in lung tissue were determined by western blotting assay. Serum levels of hydroxyproline (HYP), interleukin (IL)-4, IL-13 and interferon (IFN)-γ were measured by enzyme-linked immunosorbent assay (ELISA).Results: Pathological results showed that SSD treatment alleviated alveolitis and lung fibrosis (p < 0.05) in lung tissues of PF mice at 14 and 28 days post-BLM injection. HYP and IL-13 levels of mice in SSD group were significantly lower than that in BLM group at days 14 and 28 post-BLM injection (p < 0.05). Levels of IL-4 and IFN-γ were significantly lower when compared with values in BLM group on day 28 (p < 0.05). Western blotting results revealed that expressions of MyD88, TRAF6, IL-33 and ST2 proteins were significantly decreased by SSD treatment (p < 0.05).Conclusion: SSD exerts therapeutic effects on BLM-induced experimental PF in mice via regulation ofIL-33/ST2 pathway.Keywords: Saikosapoin D, Idiopathic pulmonary fibrosis, Myeloid differentiation factor, Hydroxyproline, Interleukin, Interferon, IL-33/ST2 pathwa

    Size-Dependent Inhibitory Effects of Antibiotic Nanocarriers on Filamentation of \u3ci\u3eE. coli\u3c/i\u3e

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    Multidrug membrane transporters exist in both prokaryotic and eukaryotic cells and cause multidrug resistance (MDR), which results in an urgent need for new and more effective therapeutic agents. In this study, we used three different sized antibiotic nanocarriers to study their mode of action and their size-dependent inhibitory effects against Escherichia coli (E. coli). Antibiotic nanocarriers (AgMUNH–Oflx NPs) with 8.6 × 102, 9.4 × 103 and 6.5 × 105 Oflx molecules per nanoparticle (NP) were prepared by functionalizing Ag NPs (2.4 ± 0.7, 13.0 ± 3.1 and 92.6 ± 4.4 nm) with a monolayer of 11-amino-1-undecanethiol (MUNH2) and covalently linking ofloxacin (Oflx) with the amine group of AgMUNH2 NPs, respectively. We designed a modified cell culture medium for nanocarriers to be stable (non-aggregated) over 18 h of cell culture, which enabled us to quantitatively study their size and dose dependent inhibitory effects against E. coli. We found that the inhibitory effects of Oflx against E. coli highly depended upon the dose of Oflx and the size of the nanocarriers, showing that an equal amount of Oflx that was delivered by the largest nanocarriers (92.6 ± 4.4 nm) were most potent with the lowest minimum inhibitory concentration (MIC50) and created the longest and highest percentage of filamentous cells, while the smallest nanocarriers (2.4 ± 0.7) were least potent with the highest MIC50 and produced the shortest and lowest percentage of filamentous cells. Interestingly, the same amount of Oflx on 2.4 ± 0.7 nm nanocarriers showed a 2× higher MIC and created 2× shorter filamentous cells than free Oflx, while the Oflx on 13.0 ± 3.1 and 92.6 ± 4.4 nm nanocarriers exhibited 2× and 6× lower MICs, and produced 2× and 3× longer filamentous cells than free Oflx, respectively. Notably, the three different sized AgMUNH2 NPs (absence of Oflx) showed negligible inhibitory effects and did not create filamentous cells. The results show that the filamentation of E. coli highly depends upon the sizes of nanocarriers, which leads to the size-dependent inhibitory effects of nanocarriers against E. coli
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