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Objective To establish a nomogram predicting model for assessing the risk factors of peripherally inserted central catheter (PICC) related upper extremity deep venous thrombosis (DVT) in elderly patients, and to evaluate the discrimination and consistency of the model. Methods The clinical data of 362 elderly patients with PICC in researched hospital from January 2014 to December 2019 were retrospectively analyzed by self-design questionnaire. The incidence of catheter-related upper extremity DVT was calculated. Research subjects were divided into DVT group and non DVT group. The risk factors related to upper extremity DVT occurrence were screened by Logistic regression model, and the risk factors were included in R software to construct the risk factors of upper extremity DVT. The discrimination and consistency of the prediction model were evaluated by ROC curve and goodness-of-fit test. Results The incidence of upper extremity DVT in elderly patients over 80s with PICC was 20. 44% (74/362). The results of Logistic regression model showed that the age, malignant tumor, D-D level before catheterization and operation history during catheterization were independent risk factors for upper extremity DVT in elderly patients with PICC (P

T hermal barrier coatings(TBCs)technology is an effective means for gas turbines to reduce the surface temperature of hot-end components,resist the hot corrosion,and obtain the high thrust-weight ratio.If the coating fails,it will influence the safety of aero-engine usage.In this paper,the composition and structure of TBCs are firstly introduced.Secondly three common thermal barrier coatings failure modes including erosion and foreign object damage,sintering oxidation and corrosion are summarized.And then the repair and remanufacturing methods of damaged and failed coatings at home and abroad are elaborated.Finally the prospect of how to inhibit the crack formation and propagation and improve the reliability of TBCs is carried out.

Objective: Pelvic inflammatory disease (PID) is one of the most common gynaecological diseases. Here, this thesis aims to investigate the therapeutic effects of Prunella vulgaris L. oil on the PID by using metabolomics based on gas chromatography- mass spectrometry (GC-MS) to address this challenge. Methods: First, measurements of pro-inflammatory cytokines and histological analysis of the uterus were conducted to validate the successful generation of a PID rat model. Furthermore, the volatile oil from Prunella vulgaris L. was administered to treat PID rats. Serum samples were collected before and after treatment and analyzed by GC-MS to generate metabolite profiles for each sample. The information generated from the qualitative and quantitative analysis of these metabolites was applied to distinguish between the PID model and normal control groups. Results: Some metabolites, such as acetic acid, succinic acid, glyceric acid, (R*,S*)-3,4-dihydroxybutanoic acid, 3-hydroxy- phenylacetic acid, D-ribose and myo-inositol showed a higher contribution in the classification model; thus, they can be considered as potential biomarkers. Furthermore, the therapeutic effect of the volatile oil extracted from Prunella vulgaris L. could also be visualized using GC-MS-based metabolomics. Conclusions: The results show that metabolomics studies are invaluable for disease diagnosis and therapeutic effect estimation.

The accuracy of nucleic acid extraction and diagnosis depends on the sealing performance of the pipetting device. The rubber seal ring at the front end of the pipette shaft is a critical component for ensuring the sealing performance of the pipetting device. In this study, an accurate prediction and analysis were made on the fatigue life of the pipette shaft seal ring. ABAQUS was used to simulate the assembly process of pipette shaft seal ring and disposable tip, and the dangerous cross-section segments on the seal rings were preliminarily identified according to a stress nephogram. Based on the continuum damage mechanics theory, the fatigue life prediction model was built where the effective strain was taken as a damage parameter, and the fatigue life of the dangerous cross-section of the pipette shaft seal ring was calculated. By observing failed seal rings in actual use, it was found that the worn positions of the failed seal rings were the same as the sites of the shortest-lived node segments, thus verifying the accuracy of fatigue life prediction model and fatigue life analysis.

Background The prevalence of diabetes mellitus is 12.7% in Singapore. Managing people with diabetes in the community may be needed to reduce unnecessary utilisation of expensive specialist resources and to reduce hospital waiting times for patients with complications. Care Practice The Singapore General Hospital (SGH) Delivering on Target (DOT) Programme was launched in 2005 to right-site clinically stable diabetic patients from the hospital to private DOT GPs. The Chronic Disease Management Office (CDMO) was established and a fully customised DOT information technology (IT) system was developed. Three initiatives were implemented: (i) Subsidised Drug Delivery Programme, (ii) Diagnostic Tests Incentive Programme, and (iii) Allied Healthcare Incentive Programme. Discussion Right-siting was enabled through patient incentives that eased the burden of out-of-pocket expenditure. Right Siting Officers (RSOs) maintained a general oversight of the patient pathway. The integrated system supported shared care follow-up by enabling DOT GPs to share updates on the patients' health status with the referring specialists. Conclusion A coherent process across all healthcare providers similar to the SGH DOT Programme may facilitate efforts to shift the care for people with diabetes to the community and to provide integrated care. Successful integration may require incentives for institutional partners and patients.

Genome-wide association studies (GWAS) have demonstrated the ability to identify the strongest causal common variants in complex human diseases. However, to date, the massive data generated from GWAS have not been maximally explored to identify true associations that fail to meet the stringent level of association required to achieve genome-wide significance. Genetics of gene expression (GGE) studies have shown promise towards identifying DNA variations associated with disease and providing a path to functionally characterize findings from GWAS. Here, we present the first empiric study to systematically characterize the set of single nucleotide polymorphisms associated with expression (eSNPs) in liver, subcutaneous fat, and omental fat tissues, demonstrating these eSNPs are significantly more enriched for SNPs that associate with type 2 diabetes (T2D) in three large-scale GWAS than a matched set of randomly selected SNPs. This enrichment for T2D association increases as we restrict to eSNPs that correspond to genes comprising gene networks constructed from adipose gene expression data isolated from a mouse population segregating a T2D phenotype. Finally, by restricting to eSNPs corresponding to genes comprising an adipose subnetwork strongly predicted as causal for T2D, we dramatically increased the enrichment for SNPs associated with T2D and were able to identify a functionally related set of diabetes susceptibility genes. We identified and validated malic enzyme 1 (Me1) as a key regulator of this T2D subnetwork in mouse and provided support for the association of this gene to T2D in humans. This integration of eSNPs and networks provides a novel approach to identify disease susceptibility networks rather than the single SNPs or genes traditionally identified through GWAS, thereby extracting additional value from the wealth of data currently being generated by GWAS.

The present research examined the effect of personal control on bribery intention and the mediating role of reciprocity beliefs in this relationship. In Study 1, we used questionnaires to investigate the correlational relationships among personal control, reciprocity beliefs, and bribery intention, and the results provided primary evidence for the mediated model. In Study 2, using a measurement-of-mediation design, we manipulated personal control to explore its effects on reciprocity beliefs and bribery intention. In Study 3, by adopting a moderation-of-process design, we examined whether increased levels of reciprocity beliefs weakened the relationship between personal control and bribery intention. Overall, these three studies showed that a decreased level of personal control resulted in stronger reciprocity beliefs, in turn promoting bribery intention. The results indicated that enhancing the sense of personal control and weakening reciprocal beliefs might be potential approaches to decrease bribery., Author(s): Qian Su [sup.1] [sup.2] , Li Liu [sup.1] [sup.2] , Jianning Dang [sup.1] [sup.2] , Zibei Gu [sup.1] [sup.2] , Yuan Liang [sup.1] [sup.2] , Cong Wei [sup.1] [sup.2] [...]

Objective To explore the potential biomarkers for the diagnosis of primary brain stem injury （PBSI） by using metabonomics method to observe the changes of metabolites in rats with PBSI caused death. Methods PBSI, non-brain stem brain injury and decapitation rat models were established, and metabolic maps of brain stem were obtained by LC-MS metabonomics method and annotated to the HMDB database. Partial least square-discriminant analysis （PLS-DA） and random forest methods were used to screen potential biomarkers associated with PBSI diagnosis. Results Eighty-six potential metabolic markers associated with PBSI were screened by PLS-DA. They were modeled and predicted by random forest algorithm with an accuracy rate of 83.3%. The 818 metabolic markers annotated to HMDB database were used for random forest modeling and prediction, and the accuracy rate was 88.9%. According to the importance in the identification of cause of death, the most important metabolic markers that were significantly up-regulated in PBSI group were HMDB0038126 （genipinic acid, GA）, HMDB0013272 （N-lauroylglycine）, HMDB0005199 [（R）-salsolinol] and HMDB0013645 （N,N-dimethylsphingosine）. Conclusion GA, N-lauroylglycine, （R）-salsolinol and N,N-dimethylsphingosine are expected to be important metabolite indicators in the diagnosis of PBSI caused death, thus providing clues for forensic medicine practice.