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Nurses are at increased risk for developing depressive symptoms. While previous research has suggested that strength use may be inversely related to these symptoms, the longitudinal impact of strength use on nurses' depressive symptoms remains under-explored. This study sought to examine the longitudinal relationship between strength use and depressive symptoms among Chinese nurses. Using a two-wave cross-lagged design from 2020 to 2023, 321 nurses participated in an online questionnaire survey. Using structural equation modeling, our results supported the hypothesized reciprocal model, indicating that strength use can significantly predict a reduction in depressive symptoms and vice versa. Given these findings, there's an urgent need for nurse leaders to emphasize the importance of using nurses' strengths as a strategy to alleviate depressive symptoms. [ABSTRACT FROM AUTHOR]

The biosynthesis of cellulose, lignin, and hemicelluloses in plant secondary cell walls (SCWs) is regulated by a hierarchical transcriptional regulatory network. This network features orthologous transcription factors shared between poplar and Arabidopsis, highlighting a foundational similarity in their genetic regulation. However, knowledge on the discrepant behavior of the transcriptional‐level molecular regulatory mechanisms between poplar and Arabidopsis remains limited. In this study, we investigated the function of PagMYB128 during wood formation and found it had broader impacts on SCW formation compared to its Arabidopsis ortholog, AtMYB103. Transgenic poplar trees overexpressing PagMYB128 exhibited significantly enhanced xylem development, with fiber cells and vessels displaying thicker walls, and an increase in the levels of cellulose, lignin, and hemicelluloses in the wood. In contrast, plants with dominant repression of PagMYB128 demonstrated the opposite phenotypes. RNA sequencing and reverse transcription – quantitative polymerase chain reaction showed that PagMYB128 could activate SCW biosynthetic gene expression, and chromatin immunoprecipitation along with yeast one‐hybrid, and effector–reporter assays showed this regulation was direct. Further analysis revealed that PagSND1 (SECONDARY WALL‐ASSOCIATED NAC‐DOMAIN PROTEIN1) directly regulates PagMYB128 but not cell wall metabolic genes, highlighting the pivotal role of PagMYB128 in the SND1‐driven regulatory network for wood development, thereby creating a feedforward loop in SCW biosynthesis. [ABSTRACT FROM AUTHOR]

With the rapid development of high‐power electronics in aerospace, communication, and energy storage systems, the huge heat flux poses an increasing threat to the safety of electronic devices. Compared with thin films of a few micro thicknesses, high‐quality graphene thick film (GTF) exceeding hundreds of microns thickness is a promising candidate to solve thermal management challenges owing to higher heat‐flux. However, traditional GTF usually has lower thermal conductivity and weak mechanical properties attributed to disordered sheet alignment and frail interfacial adhesion. Here, a seamless bonding assembly (SBA) strategy is proposed to attain GTF over record hundreds of microns with robust coalescence interfaces. For the GTF‐SBA with ≈250 µm thickness, the in‐plane and through‐plane thermal conductivities are 925.75 and 7.03 W m−1 K−1, approximately two times and 12 times those of the GTF prepared by traditional adhesive assembly method, respectively. Furthermore, the GTF‐SBA demonstrates remarkable stability even after cycled harsh temperature shocks from 77 to 573 K, ensuring its environmental adaptability for long‐term service in extreme conditions. These findings provide valuable insights into the interfacial design of graphene bulk materials and highlight the potential applications of high‐performance graphene‐based materials for extreme thermal management demands. [ABSTRACT FROM AUTHOR]

Rodent-infested bald spots are crucial indicators of rodent infestation in grasslands. Leveraging Unmanned Aerial Vehicle (UAV) remote sensing technology for discerning detrimental bald spots among plateau pikas has significant implications for assessing associated ecological hazards. Based on UAV-visible light imagery, we classified and recognized the characteristics of plateau pika habitats with five supervised classification algorithms, i.e., minimum distance classification (MinD), maximum likelihood classification (ML), support vector machine classification (SVM), Mahalanobis distance classification (MD), and neural network classification (NN). The accuracy of the five methods was evaluated using a confusion matrix. Results showed that NN and SVM exhibited superior performance than other methods in identifying and classifying features indicative of plateau pika habitats. The mapping accuracy of NN for grassland and bald spots was 98.1% and 98.5%, respectively, with corresponding user accuracy was 98.8% and 97.7%. The overall model accuracy was 98.3%, with a Kappa coefficient of 0.97, reflecting minimal misclassification and omission errors. Through practical verification, NN exhibited good stability. In conclusion, the neural network method was suitable for identifying rodent-damaged bald spots within alpine meadows. [ABSTRACT FROM AUTHOR]

Aims: Patients affected by functional mitral regurgitation represent an increasingly high‐risk population. Edge‐to‐edge mitral valve repair (TEER) has emerged as a promising treatment option for these patients. However, there is limited research on the comparative outcomes of TEER versus surgical mitral valve repair (SMVr). This study seeks to compare the demographics, complications, and outcomes of TEER and SMVr based on a real‐world analysis of the National Inpatient Sample (NIS) database. Methods and Results: In the NIS database, from the years 2016 to 2018, a total of 6233 and 2524 patients who underwent SMVr and TEER were selected, respectively. The mean ages of the patients were 65.68 years (SMVr) and 78.40 years (TEER) (p < 0.01). The mortality rate of patients who received SMVr was similar to that of patients who were treated with TEER (1.7% vs. 1.9%, p = 0.603). Patients who underwent SMVr more likely suffered from perioperative complications including cardiogenic shock (2.3% vs. 0.4%, p < 0.001), cardiac arrest (1.7% vs. 1.1%, p = 0.025), and cerebrovascular infarction (0.9% vs. 0.4%, p = 0.013). The average length of hospital stay was longer (8.59 vs. 4.13 days, p < 0.001) for SMVr compared to TEER; however, the average cost of treatment was higher ($218 728.25 vs. $215 071.74, p = 0.031) for TEER compared to SMVr. Multiple logistic regression analysis showed that SMVr was associated with worse adjusted cardiogenic shock (OR, 7.347 [95% CI, 3.574−15.105]; p < 0.01) and acute kidney injury (OR, 2.793 [95% CI, 2.356−3.311]; p < 0.01). Conclusion: Patients who underwent TEER demonstrated a notable decrease in postoperative complications and a shorter hospitalization period when compared to those who underwent SMVr. [ABSTRACT FROM AUTHOR]

When traffic congestion caused by accidents occurs on urban roads, the current signal control scheme may face failure. It is necessary to establish an effective dynamic route guidance scheme and formulate a reasonable signal timing scheme to alleviate the impact of the accident on urban traffic. In this paper, traffic congestion is divided into three states and the traffic evacuation strategies are formulated, respectively. Then, on the basis of analyzing the internal mechanism and spatiotemporal variation of queuing at intersections, a two-stage model is proposed to optimize the signal timing parameters. In the first stage, the basic timing parameters of each intersection, such as signal cycle and green ratio, are obtained. In the second stage, the offset optimization model is constructed to minimize the total delay time of the coordinated phase of all detour routes in the control scope, considering the early dissipation of queuing vehicles at the entrance of the intersection. This model is solved with a particle swarm optimization algorithm and simulated to the actual road network with VISSIM. As the experimental results show, this control method can greatly reduce the average vehicle delay, stop times, queue length, and the number of vehicles passing., Author(s): He Zhang [1]; Shanshan Guo (corresponding author) [1]; Xuzhi Long [1]; Yuanyuan Hao [1] 1. Introduction With the rapid development of China's national economy and urbanization, the demand for [...]

An application method for working ship crossing safely is proposed to determine how to make navigation scheme at a certain time. This method makes it possible for decision makers to make reasonable judgments at different times. In this paper, the position relationship between working ship and navigation vessel in waterway is analysed by considering the ship size, hydrological conditions of waterway, ship arrival model and ship navigation trajectory. Using genetic algorithm, the operation scheme of keeping a safe distance between the working ship and the vessel in the channel is solved by taking the speed and direction of the working ship as genetic factors. By analysing the crossing scheme at each starting time in a given time range, the optimal crossing scheme with the farthest distance between the working ship and the vessels in the channel is obtained. According to the measured data, the simulation is carried out with MATLAB to verify the model of working ship crossing channel. The results show that it is safe and reliable to choose the navigation scheme proposed in this paper, which has strong application value.

The discovery of new genes with novel functions is a major driver of adaptive evolutionary innovation in plants. Especially in woody plants, due to genome expansion, new genes evolve to regulate the processes of growth and development. In this study, we characterized the unique VeA transcription factor family in Populus alba × Populus glandulosa, which is associated with secondary metabolism. Twenty VeA genes were characterized systematically on their phylogeny, genomic distribution, gene structure and conserved motif, promoter binding site, and expression profiling. Furthermore, through ChIP-qPCR, Y1H, and effector-reporter assays, it was demonstrated that PagMYB128 directly regulated PagVeA3 to influence the biosynthesis of secondary metabolites. These results provide a basis for further elucidating the function of VeAs gene in poplar and its genetic regulation mechanism. [ABSTRACT FROM AUTHOR]