Health perception in mechanical systems is a crucial aspect of prognostics and health management (PHM). Deep learning models have been successfully applied to health perception in wind turbine bearings. However, due to the time-varying, redundant, and noisy characteristics of time-series data representing bearing wear, existing models face significant challenges, particularly in terms of generalization and interpretability. Moreover, although most current models have provided health perceptions, they overlook the strong stochastic nature of bearing degradation data, and thus fail to deliver reliable predictions of uncertainty information. To address these technical challenges, this study introduces a novel Deep Residual Temporal-Spatial framework (DRTS-Net) for probabilistic health perception of wind turbine bearing wear states. This paper creatively designs spatiotemporal information fusion module for extracting features from bearing degradation data. Inspired by improvements in residual network structures, the DRTS-Net integrates an attention mechanism and a soft thresholding mechanism from the deep residual shrinkage network to optimize the feature extraction process. This integration aims to mitigate the interference from minor redundant features in the degradation data. The framework incorporates Gaussian process regression in the output layer to yield the probability distribution of single-health perception values for bearing features. A comparative study was conducted using the same bearing health state dataset against current mainstream deep learning methods for bearing health assessment. Results demonstrate that the proposed DRTS-Net achieves superior performance in high-precision health perception, high-reliability probabilistic health perception.

Abutilon indicum Linn (A. indicum) is native to tropical and subtropical zones and traditionally used in ulcer, diabetes, piles, jaundice, gonorrhoea and leprosy. Erstwhile phytochemical analysis showed the presence of flavonoids, sesquiterpenes, gallic acid, β-sitosterols, geraniol, and caryophyllene. The study identifies the antidepressant potential of the crude methanolic extract of A. indicum (Ai.Cr). Crude methanolic extract of leaves and bark was prepared using maceration and freeze-drying. Forty Swiss-albino mice were divided into five groups containing eight mice each. Designated groups were administered with normal saline, Ai.Cr (30, 50, and 100 mg/kg) and diazepam (1 mg/kg) or fluoxetine (10 mg/kg) intra-peritoneally. Light and Dark Exploration (LDE), Elevated Plus Maze (EPM) and Hole Board (HB) test were used for anxiolytic activity testing, while forced swim and tail suspension model were used for the evaluation of antidepressant potential of Ai.Cr. Results showed that mice spent more time in light; passed more duration in open arms and raised number of head poking in respective anxiolytic LDE, EPM, and HB tests. Similarly, mobility time was raised in forced swim and tail suspension antidepressant testing. Ai.Cr has significant dose dependent antidepressant and anxiolytic potential, which peaks at highest dose (100 mg/kg) used in this study. A. indicum has significant pharmacological potential against anxiety and depression.

The Chinese soft-shelled turtle (Pelodiscus sinensis) is an economically important and rare freshwater aquaculture species in China. The male turtles have better economic benefits than females due to their faster growth speed. In order to explore the mechanism of sex differentiation and determination of P. sinensis, transcriptome analysis was carried out using embryo samples from the sex determination, sex differentiation and shelling stages, respectively. The gender types of embryos were identified by genotyping and histological analysis. In all, 277,230 and 273,859 genes were identified from embryos of male and female turtles, respectively. Cluster analysis of gene expression patterns exhibited trends for all differentially expressed genes (DEGs), which can be classified into three subclusters. In the sex determination, sex differentiation, and shelling stages 975, 43, and 300 DEGs, respectively, were identified by comparing the male and female groups. KEGG analysis was used to explore the function of the DEGs. Fgf9, foxl2, mex3b, sox7,tgfβ-3, wnt4, wnt7a, and wt1 were upregulated in ovary development stages and chfr, ampk, aldh2, dao, glt1d1, hvcn1, psmd9, srsf9 and ubc were upregulated in testis development stages, indicating that these genes play important roles in the sex development of P. sinensis. The results of this study provide preliminary insights into the sex determination and differentiation of Chinese soft-shelled turtles.

A steady-state thermal model of double-row tapered roller bearings (DTRB) with grease lubrication under a combined load is established in this paper. The influence of the internal load distribution on the temperature allotment of bearings in the circumferential, axial, and radial directions is considered. Firstly, the local heat generation of the bearing is calculated based on the kinematic relationship inside the bearing, the internal load distribution, and the rheological properties of the grease. Then, combined with the heat dissipation analysis of the bearing, the three-dimensional steady-state temperature field of the DTRB is obtained. Ultimately, an analysis is conducted to examine how working conditions, including radial load, axial load, and rotational speed, impact the allotment of temperature fields in a DTRB along its circumferential, axial, and radial directions. The theoretical analysis outcome agrees with the experimental test outcome, providing theoretical guidance for the analysis of the bearing’s three-dimensional temperature field.

The assembly parameters of bearings are critical to the operational performance of rolling bearings. However, the relationship between these assembly parameters and service performance indicators remains unclear. To address this significant issue, this paper innovatively establishes a quasi-static model for paired tapered roller bearings. First, it establishes the correlation between assembly process parameters, such as preload and interference, and the clearance. Secondly, this study examines the differences in contact stress distribution and oil film thickness between the bearing rollers, raceways, and flanges under varying assembly parameters. Additionally, the influence of assembly process parameters on bearing performance metrics, including bearing stiffness, friction torque, and service life, is discussed. Finally, the validity of the simulation model is verified by the service performance test bench of the tapered roller bearing, and the influence of the assembly and adjustment process parameters on the service performance parameters of the matched tapered roller bearing is determined, so as to provide theoretical guidance for the bearing assembly and adjustment site.