To explore the correlation of health literacy and mobile phone use dependence with psychopathological symptoms in middle school students.
22 628 middle school students in Shenyang, Bengbu, Xinxiang, ...Ulanqab, Chongqing and Yangjiang were enrolled by multistage cluster sampling method from November 2015 to January 2016. Chinese Adolescent Interactive Health Literacy Questionnaire (CAIHLQ), Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and Multidimensional Sub-health Questionnaire of Adolescents (MSQA) were applied to acquire basic characteristics, health literacy, mobile phone use dependence and psychopathological symptoms of subjects. Subjects were classified into three groups, low level (<
(25)), medium level (
(25)-
(75)) and high level (>
(75)), according to the percentile of the questionnaire score. Multivariate logistic regression model was used to analyze the correlation of health literacy, mobile phone with psychopathological symptoms.
The students were (15.4±1.8) years
Image jitters occur in the video of the autonomous robot moving on bricks road, which will reduce robot operation precision based on vision. In order to compensate the image jitters, the affine ...transformation kinematics were established for obtaining the six image motion parameters. The feature point pair detecting method was designed based on Eigen-value of the feature windows gradient matrix, and the motion parameters equation was solved using the least square method and the matching point pairs got based on the optical flow. The condition number of coefficient matrix was proposed to quantificationally analyse the effect of matching errors on parameters solving errors. Kalman filter was adopted to smooth image motion parameters. Computing cases show that more point pairs are beneficial for getting more precise motion parameters. The integrated jitters compensation software was developed with feature points detecting in subwindow. And practical experiments were conducted on two mobile robots. Results show that the compensation costing time is less than frame sample time and Kalman filter is valid for robot vision jitters compensation.
This study describes the chemometric treatment of vanillin fingerprint chromatograms to distinguish vanillin from different sources. Prior to principal component analysis, which is used to ...discriminate vanillin from different origins, the fingerprints are aligned. Three alignment algorithms are tested, correlation optimized warping (COW), target peak alignment (TPA) and semi-parametric time warping (STW). The performance of the three algorithms is evaluated and the effect of the different alignments on the PCA score plots is investigated. The alignment obtained with STW differs somewhat from that with COW and TPA. However, equivalent score plots were obtained regarding the different vanillin groups.
Abstract
Charge exchange between highly charged ions and neutral atoms and molecules has been considered as one of the important mechanisms controlling soft X-ray emissions in many astrophysical ...objects and environments. However, for modeling charge exchange soft X-ray emission, the data of
n-
and
l
-resolved state-selective capture cross sections are often obtained by empirical and semiclassical theory calculations. With a newly built cold target recoil-ion momentum spectroscopy (COLTRIMS) apparatus, we perform a series of measurements of the charge exchange of Ne
(8,9)+
ions with He and H
2
for collision energy ranging from 1 to 24.75 keV/u.
n
-resolved state-selective capture cross sections are reported. By comparing the measured state-selective capture cross sections to those calculated by the multichannel Landau–Zener method (MCLZ), it is found that MCLZ calculations are in good agreement with the measurement for the dominant
n
capture for He target. Furthermore, by using
nl
-resolved cross sections calculated by MCLZ and applying
l
distributions commonly used in the astrophysical literature to experimentally derived
n
-resolved cross sections, we calculate the soft X-ray emissions in the charge exchange between 4 keV/u Ne
8+
and He by considering the radiative cascade from the excited Ne
7+
ions. Reasonable agreement is found in comparison to the measurement for even and separable models, and MCLZ calculations give results in a better agreement.
The objective of this paper is to identify pathway-related modules which are defined as in high-grade osteosarcoma based on topological centralities analysis of networks.
Co-expression network was ...constructed by weighted gene co-expression network analysis (WGCNA) based on differentially expressed genes (DEGs). Pathway enrichment analysis was conducted by Kyoto Encyclopedia of Genes and Genomes (KEGG) database to detect pathway enriched genes. Pathway-related modules of pathway enriched genes were mined from the co-expression network. Then topological centralities (degree, closeness, stress and betweenness centrality) analyses for co-expression network and sub-networks were performed to explore hub genes. Validation of hub genes was carried out utilizing reverse transcription-polymerase chain reaction (RT-PCR) assays.
There were 129 nodes and 1229 edges in co-expression network. We obtained a total of 16 hub genes and 11 pathway-related modules. Module 17 (Bladder cancer module) was the most significant module, which comprising 9 of 16 hub genes and 6 pathway enriched genes, taking intersection elements (CAV1 and CCND1). RT-PCR results showed that both of CAV1 and CCND1 in high-grade osteosarcoma were significantly differentially expressed compared with normal controls.
This work may contribute to understanding the molecular pathogenesis and provide potential biomarkers for detections and effective therapies of high-grade osteosarcoma.
Multivariate adaptive regression splines (MARS) and a derived method two-step MARS (TMARS) were used for modelling the gastro-intestinal absorption of 140 drug-like molecules. The published ...absorption values for these molecules were used as response variable and calculated molecular descriptors as potential explanatory variables. Both methods were compared and their potential use in quantitative structure–activity relationship (QSAR) context evaluated.
The predictive abilities of the models were studied using different sequences of Monte Carlo cross validation (MCCV). It was shown that both types of models had good predictive abilities and that for the data used, MARS gave better results than TMARS. It could be concluded that both methods could be valuable for QSAR modelling.
Abstract Background The diagnosis of heart failure may be challenging because symptoms are rather nonspecific. Elevated left ventricular (LV) filling pressure may be used to confirm the diagnosis, ...but cardiac catheterization is often not practical. Echocardiographic indexes are therefore used as markers of filling pressure. Objectives This study investigated the feasibility and accuracy of comprehensive echocardiography in identifying patients with elevated LV filling pressure. Methods We conducted a multicenter study of 450 patients with a wide spectrum of cardiac diseases referred for cardiac catheterization. Left atrial volume index, in combination with flow velocities and tissue Doppler velocities, was used to estimate LV filling pressure. Invasively measured pressure was used as the gold standard. Results Mean left ventricular ejection fraction (LVEF) was 47%, with 209 patients having an LVEF <50%. Invasive measurements showed elevated LV filling pressure in 58% of patients. Clinical assessment had an accuracy of 72% in identifying patients with elevated filling pressure, whereas echocardiography had an accuracy of 87% (p < 0.001 vs. clinical assessment). The combination of clinical and echocardiographic assessment was incremental, with a net reclassification improvement of 1.5 versus clinical assessment (p < 0.001). Conclusions Echocardiographic assessment of LV filling pressure is feasible and accurate. When combined with clinical data, it leads to a more accurate diagnosis, regardless of LVEF.
We examined data from the ARTEMIS DISK Antifungal Surveillance Program to describe geographic and temporal trends in the isolation of Candida parapsilosis from clinical specimens and the in vitro ...susceptibilities of 9,371 isolates to fluconazole and voriconazole. We also report the in vitro susceptibility of bloodstream infection (BSI) isolates of C. parapsilosis to the echinocandins, anidulafungin, caspofungin, and micafungin. C. parapsilosis represented 6.6% of the 141,383 isolates of Candida collected from 2001 to 2005 and was most common among isolates from North America (14.3%) and Latin America (9.9%). High levels of susceptibility to both fluconazole (90.8 to 95.8%) and voriconazole (95.3 to 98.1%) were observed in all geographic regions with the exception of the Africa and Middle East region (79.3 and 85.8% susceptible to fluconazole and voriconazole, respectively). C. parapsilosis was most often isolated from blood and skin and/or soft tissue specimens and from patients hospitalized in the medical, surgical, intensive care unit (ICU) and dermatology services. Notably, isolates from the surgical ICU were the least susceptible to fluconazole (86.3%). There was no evidence of increasing azole resistance over time among C. parapsilosis isolates tested from 2001 to 2005. Of BSI isolates tested against the three echinocandins, 92, 99, and 100% were inhibited by concentrations of <=2 μg/ml of anidulafungin (621 isolates tested), caspofungin (1,447 isolates tested), and micafungin (539 isolates tested), respectively. C. parapsilosis is a ubiquitous pathogen that remains susceptible to the azoles and echinocandins; however, both the frequency of isolation and the resistance of C. parapsilosis to fluconazole and voriconazole may vary by geographic region and clinical service.
Urban development often impacts the economic development pattern and the spacial distribution of resource allocation of a particular area. Urban development can be conceptualized as a multicriteria ...decision-making problem; therefore, multicriteria evaluation has been used to trace the trend of urban development. In this paper, a fuzzy multicriteria evaluation model is developed to study the trend of urban development. First, a multilayer evaluation index system is presented; it is used to conduct horizontal analysis on urban systems. Second, a fuzzy, multicriteria, multilayer evaluation model is proposed. Third, the detailed modeling aspects are discussed which include the fuzzy evaluation models under different evaluation rules, the methods used to determine the weights of criteria, and the determination of the membership grades of evaluation matrix. The model has been implemented and the application results indicate that the proposed model is able to represent those important factors affecting urban development layer-by-layer and stage-by-stage.
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