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Background Multimorbidity and sleep disorder possess high incidence rates in the middle-aged and older people populations, posing a significant threat to quality of life and physical and mental health. However, investigators have previously only analysed the unidirectional association between sleep status and multimorbidity. We aimed to investigate bidirectional associations between sleep quality or duration and multimorbidity in middle-aged and older Chinese adults from a longitudinal perspective. Method We enrolled a total of 9823 participants 45 years and older from the China Health and Retirement Longitudinal Study from 2015 to 2018 in our study. Multimorbidity was defined as two or more coexisting chronic diseases in the same individual based on 14 self-reported disease questions. Sleep quality was classified as “good” (restless < 1 day per week) and “poor” (restless ≥ 1 days per week); and sleep duration was divided into short (< 6 h), medium (6–9 h), and long (> 9 h). The bidirectional association between multimorbidity and sleep condition was examined using multivariate logistic regression models with adjustments for covariates. Results Individuals with poor sleep quality showed a significantly higher prevalence of multimorbidity in the future. The adjusted OR (95% CI) values of individuals with poor sleep quality with respect to developing two diseases, three diseases, and ≥ 4 diseases were 1.39 (1.19, 1.63), 1.56 (1.23, 2.03), and 2.36 (1.68, 3.33), respectively. In addition, individuals with multimorbidity exhibited a significantly higher risk of poor sleep quality in the future. Short sleep duration led to multimorbidity in the future (OR = 1.49; 95 CI%, 1.37–1.63), while multimorbidity contributed to short sleep duration (< 6 h) in the future (OR = 1.39; 95% CI, 1.27–1.51) after full adjustment. Conclusions There was a bidirectional association between sleep quality or short sleep duration and multimorbidity in middle-aged and older Chinese adults. We recommend that greater attention be given to clinical management among adults with sleep disorders or physical multimorbidities.

In hilly areas, significant elevation changes necessitate the use of expensive pressure compensating drip tape to ensure safety and irrigation uniformity, which is economically unfeasible for developing countries. This article proposes a more cost-effective alternative: the use of inexpensive nonpressure compensating drip tape with a pressure regulator (PRL) installed at the inlet. Based on this approach, a low-cost modification of a hilly drip irrigation system with a maximum height difference of 53 m was achieved. The main conclusions are as follows: (1) A mathematical model was developed to account for the combined effects on the PRL outlet pressure, leading to a simulation method for assessing the hydraulic performance of drip systems with PRLs; (2) While maintaining irrigation uniformity ( CU ) greater than 90%, the system’s one-time and average annual investments were reduced by 48.0% and 35.3%, respectively; (3) Taking the drip irrigation system researched in the manuscript as an example, the unit price of pressure-compensating drip tape must be less than 1 CNY/m (approximately 0.14 USD/m) to remain competitive in annual investment compared with the solution of installing a PRL at the inlet of non-pressure compensating drip tape.

Ultrasonic gas leak location technology is based on the detection of ultrasonic waves generated by the ejection of pressured gas from leak holes in sealed containers or pipes. To obtain more accurate leak location information and determine the locations of leak holes in three-dimensional space, this paper proposes an ultrasonic leak location approach based on multi-algorithm data fusion. With the help of a planar ultrasonic sensor array, the eigenvectors of two individual algorithms, i.e., the arrival distance difference, as determined from the time difference of arrival (TDOA) location algorithm, and the ratio of arrival distances from the energy decay (ED) location algorithm, are extracted and fused to calculate the three-dimensional coordinates of leak holes. The fusion is based on an extended Kalman filter, in which the results of the individual algorithms are seen as observation values. The final system state matrix is composed of distances between the measured leak hole and the sensors. Our experiments show that, under the condition in which the pressure in the measured container is 100 kPa, and the leak hole–sensor distance is 800 mm, the maximum error of the calculated results based on the data fusion location algorithm is less than 20 mm, and the combined accuracy is better than those of the individual location algorithms.

This study explored the relationship between self-efficacy, professional identity and competence among nursing students and analyzed the mediating role of self-efficacy in the relationship between professional identity and competence. Background: Increasing attention has been paid to the cultivation of competence among nursing students; however, few studies to date have analyzed its related factors and examined their relationship. A quantitative study with a descriptive design was performed in this study, adopting an online survey with convenience and snowball sampling. A cross-sectional sample of 887 nursing students in the internship period of their education program in mainland China was recruited from November to December 2020. The Nursing Students Competence Instrument, Professional Identity Questionnaire for Nurse Students and General Self-efficacy Scale were distributed online. Descriptive statistics, Pearson’s correlation, structural equation modeling (SEM) and the bootstrap method were employed in data analysis. Competence was significantly and positively correlated with professional identity (r = 0.598; P < 0.01) and self-efficacy (r = 0.692; P < 0.01). SEM analysis revealed that professional identity (β = 0.31; P < 0.01) or self-efficacy (β = 0.31; P < 0.01) could have a positive impact on competence. Meanwhile, self-efficacy played a mediating role in the relationship between professional identity and competence, with an indirect effect of professional identity creation through self-efficacy accounting for 52% of the total effect. Self-efficacy mediates the relationship between professional identity and competence to some extent. School educators and clinical tutors should pay greater attention to students’ professional identity and self-efficacy to improve students’ competence.

Damage localization methods for composite materials are a popular research topic at present. The time-difference-blind localization method and beamforming localization method are often individually utilized in the localization of the acoustic emission sources of composite materials. Based on the performances of the two methods, a joint localization method for the acoustic emission sources of composite materials is proposed in this paper. Firstly, the performance of the time-difference-blind localization method and the beamforming localization method were analyzed. Then, with the advantages and disadvantages of these two methods in mind, a joint localization method was proposed. Finally, the performance of the joint localization method was verified using simulations and experiments. The results show that the joint localization method can reduce the localization time by half compared with the beamforming localization method. At the same time, compared with the time-difference-blind localization method, the localization accuracy can be improved.

This article examines Genet’s exploration of aesthetic politics in The Balcony through the sensory redistribution, emphasizing how subversive aesthetic forces can establish a new sensory order to affirm equality amid conflict. While the role of the subject’s body—particularly through becoming-animal—serves as a crucial sensory force, its specific configuration remains insufficient. Focusing on the first three scenes, the analysis demonstrates that Genet constructs a foundational simulacrum, enabling the mutation of becoming-animal. This process involves increasing the separation between body and image, creating a Body without Organs (BwO) within the intensity difference. Such reconfiguration facilitates self-subversion and the renewal of aesthetic value while exposing the contingency inherent in identity politics within power relations. Drawing on Deleuze’s notions of becoming-animal and BwO, the article links these representations to the theory of simulacra, highlighting how The Balcony represents the body and image of the subject. Rancière’s aesthetic politics is further employed to elucidate the dual potential of becoming-animal in both aesthetic and political dimensions. Ultimately, the body operating within the simulacra configuration embodies an intensive BwO, fostering ongoing creation, transformation, and the realization of aesthetic politics’ transformative potential.

Fresh tea leaves continuously lose water after harvesting, and the level of water content directly affects the configuration of tea processing parameters. To address this problem, this study established an online detection system for the water content of fresh tea leaves after harvesting based on near-infrared spectroscopy. The online acquisition and analysis system of the temperature and humidity sensor signal data was developed based on LabVIEW and Python software platforms. Near-infrared spectral data, environmental temperature, and humidity were collected from fresh leaves after harvesting. Spectral data were combined with PLS (partial least squares) to develop a prediction model for the water content of fresh tea leaves. Simultaneously, data communication between LabVIEW and PLC was established, laying the foundation for establishing a feedback mechanism to send the prediction results to the main platform of the lower computer. This provides a more objective and accurate basis for the detection of fresh leaves before processing and regulation during processing, thereby effectively promoting the standardisation and intelligent development of tea-processing equipment.

Air compressors play a crucial role in industrial production, and accurately assessing their health status is vital for ensuring stable operation. The field of health status assessment has made significant progress; however, challenges such as dataset class imbalance, feature selection, and accuracy improvement remain and require further refinement. To address these issues, this paper proposes a novel algorithm based on multi-strategy optimization, using air compressors as the research subject. During data preprocessing, the Synthetic Minority Over-sampling Technique (SMOTE) is introduced to effectively balance class distribution. By integrating the Squeeze-and-Excitation (SE) mechanism with Convolutional Neural Networks (CNNs), key features within the dataset are extracted and emphasized, reducing the impact of irrelevant features on model efficiency. Finally, Bidirectional Long Short-Term Memory (BiLSTM) networks are employed for health status assessment and classification of the air compressor. The Ivy algorithm (IVYA) is introduced to optimize the BiLSTM’s hyperparameters to improve classification accuracy and avoid local optima. Through comparative and ablation experiments, the effectiveness of the proposed SMOTE-IVY-SE-CNN-BiLSTM model is validated, demonstrating its ability to significantly enhance the accuracy of air compressor health status assessment.

It is well known that exogenous trehalose can improve resistances of plants to some abiotic and biotic stresses. Nonetheless, information respecting the molecular responses of tobacco leaves to Tre treatment is limited. Here we show that exogenous Tre can rapidly reduce stomatal aperture, up-regulate NADPH oxidase genes and increase O2•-andH2O2 on tobacco leaves at 2 h after treatment. We further demonstrated that imidazole and DPI, inhibitors of NADPH oxidase, can promote recovery of stomatal aperture of tobacco leaves upon trehalose treatment. Exogenous trehalose increased tobacco leaf resistance to tobacco mosaic disease significantly in a concentration-dependent way. To elucidate the molecular mechanisms in response to exogenous trehalose, the transcriptomic responses of tobacco leaves with 10 (low concentration) or 50 (high concentration) mM of trehalose treatment at 2 or 24h were investigated through RNA-seq approach. In total, 1288 differentially expressed genes (DEGs) were found with different conditions of trehalose treatments relative to control. Among them, 1075 (83.5%) were triggered by low concentration of trehalose (10mM), indicating that low concentration of Tre is a better elicitor. Functional annotations with KEGG pathway analysis revealed that the DEGs are involved in metabolic pathway, biosynthesis of secondary metabolites, plant hormone signal transduction, plant-pathogen interaction, protein processing in ER, flavonoid synthesis and circadian rhythm and so on. The protein-protein interaction networks generated from the core DEGs regulated by all conditions strikingly revealed that eight proteins, including ClpB1, HSP70, DnaJB1-like protein, universal stress protein (USP) A-like protein, two FTSH6 proteins, GolS1-like protein and chloroplastics HSP, play a core role in responses to exogenous trehalose in tobacco leaves. Our data suggest that trehalose triggers a signal transduction pathway which involves calcium and ROS-mediated signalings. These core components could lead to partial resistance or tolerance to abiotic and biotic stresses. Moreover, 19 DEGs were chosen for analysis of quantitative real-time polymerase chain reaction (qRT-PCR). The qRT-PCR for the 19 candidate genes coincided with the DEGs identified via the RNA-seq analysis, sustaining the reliability of our RNA-seq data.