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Introduction: Transfer anxiety has effect many critically ill patients in ICU around the world. Nurses must take care of the psychological adjustments that patients and families face when ICU patients transferred to general ward. During this period, basic knowledge, positive attitude, and correct practice are necessary for nurses to address the issue of transfer anxiety and seek to reduce it whenever possible. However, there were few investigations have been performed the knowledge, attitudes, and practice of registered nurses toward ICU patients’ transfer anxiety. Aim: The purpose of the paper is to explore the level and influencing factors of knowledge, attitude and practice of registered nurses toward ICU patients’ transfer anxiety in China. Methods: From February 1 to March 17, 2023, a cross-sectional study was adopted in China. An electronic questionnaire was used to collect data. Registered nurses' knowledge, attitudes and practice toward ICU patients' transfer anxiety were assessed using The Knowledge, Attitude and Practice Questionnaire for Chinese Registered nurses in ICU regarding the prevention of transfer anxiety. In the end, in this study involved 381 registered nurses from Lanzhou University Second Hospitals in China. SPSS 26.0 for mac, independent T-test, one-way ANOVA test, Scheffe's test, Pearson correlation coefficient and multiple linear regression tests were used for data analysis. Results: The scores of total KAP, knowledge, attitude, and practice are 135.21 ± 24.504, 45.58 ± 13.903, 56.94 ± 10.690 and 32.87 ± 6.393 separately. Study results show that there was a statistically significant correlation among the three variables. According to the results of independent t-test or one-way ANOVA test, there is a correlation between gender(P = 0.001), highest educational attainment (P = 0.005) and knowledge; type of department(P = 0.003) and attitude; gender (P = 0.003), marital status (P = 0.002), clinical work experience (P = 0.002), type of department (P = 0.005) and practice. According to the results of linear regression analysis in this study, the variables of gender (P = 0.006), highest educational attainment (P = 0.032), scores of attitudes (P = 0.006), and scores of practice (P = 0.000) were associated with the scores of knowledge; the variables of scores of knowledge (P = 0.004), and scores of practice (P = 0.000) were associated with the scores of attitudes; the variables of scores of knowledge (P = 0.000), and scores of attitudes (P = 0.000) were associated with the scores of practice. Conclusion: The findings of the study emphasize that comprehensive measures of knowledge, attitude and practice should be taken to improve nurses' knowledge, attitudes, and practices regarding transfer anxiety in intensive care unit patients in order to reduce its adverse effects on ICU patients.

Abstract Aims The aim of this study was to investigate the incidence of alexithymia in intensive care unit nurses and determine the associated factors. Design A multi‐center, cross‐sectional study. Methods In total, 485 nurses in intensive care unit were recruited from 53 hospitals in China. Data collection tools used in the study included demographic characteristics, the Social Support Rating Scale (SSRS), Emotional Intelligence Scale (EIS), and the 20‐item Toronto Alexithymia Scale (TAS‐20). SPSS 25.0 software (Corp., Armonk, NY, USA) was used to preform data analysis. Results About 43.7% of intensive care unit nurses were classified as alexithymia in the whole sample (males: 50%, females: 43%). The median TAS‐20 score was 60 (interquartile range = 9). The study found that alexithymia was significantly associated with marital status, whether living alone, working years, and social support (Adjusted R Squared = 0.194, F = 6.466, p

Abstract Background Headache accompanying ischemic stroke is considered an independent predictor of neurological deterioration. This meta-analysis aims to estimate the prevalence of ischemic stroke-related headaches and identify its risk factors in China. Methods PubMed, Embase, Cochrane Library database, Web of Science, PsycINFO, and four Chinese databases for the related publications were searched. Two researchers independently selected the literature, extracted the relevant data, and assessed its methodological quality. The meta-analysis applied a random-effects model with R software to calculate the pooled prevalence of ischemic stroke-related headaches in Chinese patients, and to merge the odds ratio (OR) of risk factors. Subgroup analysis, sensitivity analysis, and meta-regression analysis were conducted. Publication bias was assessed by a funnel plot and Egger test. Results Ninety-eight studies were eligible for inclusion. The overall pooled prevalence of ischemic stroke-related headache was 18.9%. Subgroup analysis showed that the prevalence of ischemic stroke related-headaches was higher among studies using self-report to diagnosis headache (18.9%; 95%CI, 8.9% to 40.2%), and those focused on age ≥ 55 years (19.7%; 95%CI, 14.9% to 25.9%), rural settings (24.9%; 95%CI, 19.7% to 31.6%). There were no significant differences in the headache prevalence between studies in the south and north, and inland and coastal studies. The prevalence of pre onset headache (13.9%) and tension-type headache (15.5%) and was higher compared with other types. History of headache (OR = 3.24; 95%CI, 2.26 to 4.65.), female gender (OR = 2.06; 95%CI, 1.44 to 2.96.), midbrain lesions (OR = 3.56; 95%CI, 1.86 to 6.83.), and posterior circulation stroke (OR = 2.13; 95%CI, 1.14 to 4.32) were major risk factors. Conclusion The prevalence of ischemic stroke-associated headache is high in China. In addition, women, presence of midbrain lesions, posterior circulation stroke and a history of migraine were high-risk factors for ischemic stroke-related headaches. Designing effective interventions to prevent or alleviated headaches is necessary to promote patients’ neurological recovery and quality of life.

Abstract Background Several factors are associated with the incidence of burnout, including alexithymia, social support, and depression. The relative importance of these three key parameters as mediators of burnout, however, is not well understood. In addition, there have been few studies to date specifically examining the association between alexithymia and burnout among nurses in China. Purpose To evaluate the relationship of burnout with alexithymia, social support, and depression across emergency department nurses in China. Methods This descriptive, cross-sectional survey was conducted using a convenience sampling methodology to survey nurses responsible for direct emergency care (n = 413) from 18 tertiary hospitals in Western, Eastern, Northern, and Southern China between May 2020 and June 2020. A structural equation modeling approach was then used to assess a hypothetical model wherein alexithymia both directly and indirectly affects burnout among emergency nurses via impacting the incidence of depression and perceived social support. Results Results supported all driving hypotheses. Alexithymia was positive direct correlated with burnout (β = 0.35; P

Objective:To evaluate the impact of clustering nursing on stroke-related pneumonia by Meta-analysis, and provide a scientific basis for improving the prognosis of stroke patients.Methods:We searched in Wanfang database, CNKI, China Biomedical Literature database, PubMed, Web of Science, EMbase, and Cochrane Library database. The objects were patients with stroke. The trials (RCTs) included randomized controlled was about clustering nursing intervention for stroke-related pneumonia. The search period is from the construction of the database to January,2018. The main outcome indicators were the incidence of stroke-related pneumonia, the incidence of aspiration, and the hospitalization, the secondary outcome indicators were hospitalization costs, mortality, and swallowing function. Two researchers independently screened the literature, extracted the data, and evaluated the quality of the included studies. The quality evaluation used the Cochrane Collaboration's bias risk assessment tool. The data was analyzed using RevMan 5.3 statistical software. The continuous variables used standardized mean difference (SMD) and 95%CI as the effect indicators. The dichotomous variables used odds ratio (OR) and 95%CI as the effect indicators. If the homogeneity between the studies was good (P≥0.1, I2≤50%), select the fixed effect model, if there was heterogeneity between these studies (PI2>50%), analyze the source of heterogeneity, and if there was no clinical heterogeneity, choose a random effects model.Results:A total of 11 clinical randomized controlled trial literatures were finally included. They were all in Chinese, with a total of 1 048 patients. Meta analysis results showed that the incidence of SAP in the cluster care group was[OR=0.31, 95%CI (0.22,0.44), POR=0.19, 95%CI (0.10,0.33), PSMD=-0.82, 95%CI (-1.09,-0.54), PSMD=-5.38, 95%CI (-6.02,-4.74), PP

Traffic forecasting in urban area has attracted substantial attention in recent years due to its significant assitance for traffic dispatching and trip planning. However, this task is very challenging due to the complex dependencies inherent in the traffic process. In our study, recent and periodic dependencies are identified and used to describe the corresponding near-term and long-term effects of historical traffic data on future traffic states. Subsequently, during the recent dependency modeling, each road is found to correlate with its adjacent roads through traffic flow diffusion, then the correlation intensities are quantified and used to choose strongly correlated roads to build a critical road sequence. While for the periodic dependency modeling, since the historical speed series of a road segment exhibits multi-frequency attributes (i.e., low-frequency daily period and high-frequency stochastic fluctuation), wavelet transform is conducted to decompose the original speed series into low and high-frequency sub-series. On these bases, we propose a hybrid traffic speed forecasting model, flow and wavelet-integrated spatio-temporal network (FW-STN). In the FW-STN, the recent features are captured by the convolutional neural network (CNN) with near-term traffic data from the derived critical road sequence, and the periodic features are captured by the long short-term memory (LSTM) with the low and high-frequency sub-series. Both the recent and periodic features are then fused to conduct the final prediction. Experimental results on real traffic data show that the proposed approach outperforms nine state-of-the-art methods (with improvements of 3% ~15% in mean average percentage error).

As a crucial part of the Intelligent Transportation System, traffic forecasting is of great help for traffic management and guidance. However, predicting short-term traffic conditions on a large-scale road network is challenging due to the complex spatio-temporal dependencies found in traffic data. Previous studies used Euclidean proximity or topological adjacency to explore the spatial correlation of traffic flows, but did not consider the higher-order connectivity patterns exhibited in a road network, which have a significant influence on traffic propagation. Meanwhile, traffic sequences display distinct multiple time-frequency properties, yet few researchers have made full use of this resource. To fill this gap, we propose a novel hybrid framework - Wavelet-based Higher-order Spatial-Temporal method (Wavelet-HST) to accurately predict network-scale traffic speeds. Wavelet-HST first uses discrete wavelet transform (DWT) to decompose raw traffic data into several components with different frequency sub-bands. Then a motif-based graph convolutional recurrent neural network (Motif-GCRNN) is proposed to learn the higher-order spatio-temporal dependencies of traffic speeds from low-frequency components, and auto-regressive moving average (ARMA) models are employed to simulate random fluctuations from the high-frequency components. We evaluate the framework on a traffic dataset collected in Chengdu, China, and experimental results demonstrate that Wavelet-HST outperforms six state-of-art prediction methods by an improvement of 7.8% ~10.5% in the root mean square error.

Fetal dermal mesenchymal stem cells (FDMSCs), isolated from fetal skin, are serving as a novel MSC candidate with great potential in regenerative medicine. More recently, the paracrine actions, especially MSC-derived exosomes, are being focused on the vital role in MSC-based cellular therapy. This study was to evaluate the therapeutic potential of exosomes secreted by FDMSCs in normal wound healing. First, the in vivo study indicated that FDMSC exosomes could accelerate wound closure in a mouse full-thickness skin wound model. Then, we investigated the role of FDMSC-derived exosomes on adult dermal fibroblast (ADFs). The results demonstrated that FDMSC exosomes could induce the proliferation, migration, and secretion of ADFs. We discovered that after treatment of exosomes, the Notch signaling pathway was activated. Then, we found that in FDMSC exosomes, the ligands of the Notch pathway were undetectable expect for Jagged 1, and the results of Jagged 1 mimic by peptide and knockdown by siRNA suggested that Jagged 1 may lead the activation of the Notch signal in ADFs. Collectively, our findings indicated that the FDMSC exosomes may promote wound healing by activating the ADF cell motility and secretion ability via the Notch signaling pathway, providing new aspects for the therapeutic strategy of FDMSC-derived exosomes for the treatment of skin wounds.