基于IBP-KG的在线护理研究探索与分析

[目的]探索"最佳实践知识门户"(IBP-KG)中文版的可用性及其用于在线护理研究的可能性,促进在线护理科研的发展。[方法]在IBP-KG上开设"护士在灾害中的角色(roles of nursesin disaster)"社群,开展简化灾害护理能力条目的方法主题讨论,上传系统可用性量表(SUS)。采用立意取样法,45.7%(16/35)受邀对象登陆IBP-KG,参与主题讨论,完成并提交SUS,分别检验了开展在线质性、量性研究的可能性。[结果]IBP-KG中文版的SUS平均得分为65.20分,可用性尚可;研究对象均认为可通过IBP-KG简化灾害护理能力条目,可采用首席研究者主导下的调查研究或小组合作研究。[结论]IBP-KG中文版可用于开展在线护理研究。     

在校残障青少年成长发展与健康相关功能障碍初探

[目的]调查在校残障青少年的青春期发育、青春期知信行状况及健康相关功能障碍情况,为更好地提供残障青少年服务提供借鉴。[方法]采用个人基本信息表、青春期发育量表、青春期相关知识态度与行为量表以及世界卫生组织残障评定量表,对山东省7地市综合性特殊教育学校中339名残障青少年进行问卷调查。[结果]多数研究对象的青春期知信行处于一般水平,存在一定的功能障碍,且青春期知信行水平与功能障碍呈负相关。[结论]亟须采用残障青少年可及的方式、方法,提高其青春期知信行水平,减轻其功能障碍情况,促进其社会参与和融入,为完善残障青少年健康与发展服务奠定基础。     

Conjugated Polymer with On‐Chain Pt(II) Complex for Resistive Random‐Access Memory Device

A novel conjugated polymer, containing carbazole which acted as an electron‐donor moiety, and a Pt(II) complex which acted as an electron‐acceptor moiety, was synthesized and characterized. Electrical characterizations for the sandwiched polymer memory device (ITO/polymer/Al) indicate that the polymer possesses electrical bistability and the device exhibits resistive random‐access memory. The memory mechanism has been investigated through theoretical calculations and attributed to the formation and dissociation of a charge‐transfer state under the applied voltage. The device exhibits excellent memory performances, such as low threshold voltage, high ON/OFF current ratio, and good stability.     

促甲状腺激素释放激素对结肠平滑肌钾电流的影响

目的探讨促甲状腺激素释放激素(TRH)对大鼠结肠平滑肌细胞膜瞬时外向钾电流(Ito)和延迟整流钾电流(Ik)的影响。方法酶解法急性分离单个大鼠结肠平滑肌细胞,运用膜片钳方法检测10、20、50、100μmol/L的TRH对结肠平滑肌细胞膜Ito和Ik的影响。结果 TRH浓度依赖性减少Ito(P<0.05),10、20、50、100μmol/L的TRH可使峰值Ito降低13.4%、28.0%、39.5%、53.4%,但Ik降低不明显(P>0.05)。结论 TRH阻滞大鼠结肠平滑肌细胞的瞬时外向钾电流,但不能降低延迟整流钾电流,TRH可能通过调节细胞的兴奋性对肠道动力产生影响。     

Eyes-Open/Eyes-Closed Dataset Sharing for Reproducibility Evaluation of Resting State fMRI Data Analysis Methods

The multi-scan resting state fMRI (rs-fMRI) dataset was recently released; thus the test-retest (TRT) reliability of rs-fMRI measures can be assessed. However, because this dataset was acquired only from a single group under a single condition, we cannot directly evaluate whether the rs-fMRI measures can generate reproducible between-condition or between-group results. Because the modulation of resting state activity has gained increasing attention, it is important to know whether one rs-fMRI metric can reliably detect the alteration of the resting activity. Here, we shared a public Eyes-Open (EO)/Eyes-Closed (EC) dataset for evaluating the split-half reproducibility of the rs-fMRI measures in detecting changes of the resting state activity between EO and EC. As examples, we assessed the split-half reproducibility of three widely applied rs-fMRI metrics: amplitude of low frequency fluctuation, regional homogeneity, and seed-based correlation analysis. Our results demonstrated that reproducible patterns of EO-EC differences can be detected by all three measures, suggesting the feasibility of the EO/EC dataset for performing reproducibility assessment for other rs-fMRI measures.     

Development and Validation of a Metabolic-related Prognostic Model for Hepatocellular Carcinoma

Background and AimsGrowing evidence suggests that metabolic-related genes have a significant impact on the occurrence and development of hepatocellular carcinoma (HCC). However, the prognostic value of metabolic-related genes for HCC has not been fully revealed.MethodsmRNA sequencing and clinical data were obtained from The Cancer Genome Atlas and the GTEx Genotype-Tissue Expression comprehensive database. Differentially expressed metabolic-related genes in tumor tissues (n=374) and normal tissues (n=160) were identified by the Wilcoxon test. Time-dependent receiver operating characteristic curve analysis, univariate multivariate Cox regression analysis and Kaplan-Meier survival analysis were used to evaluate the predictive effectiveness and independence of the prognostic model. Two independent cohorts (International Cancer Genome Consortiums and {"type":"entrez-geo","attrs":{"text":"GSE14520","term_id":"14520"}}GSE14520) were applied to verify the prognostic model.ResultsOur study included a total of 793 patients with HCC. We constructed a risk score consisting of five metabolic-genes (BDH1, RRM2, CYP2C9, PLA2G7, and TXNRD1). For the overall survival rate, the low-risk group had a considerably higher rate than the high-risk group. Univariate and multivariate Cox regression analyses indicated that the risk score was an independent predictor for the prognosis of HCC.ConclusionsWe constructed and validated a novel prognostic model, which may provide support for the precise treatment of HCC.