Acoustic Feature Extraction Method of Rotating Machinery Based on the WPE-LCMV

Fault diagnosis plays an important role in the safe and stable operation of rotating machinery, which is conducive to industrial development and economic improvement. However, effective feature extraction of rotating machinery fault diagnosis is difficult in the complex sound field with characteristics of reverberation and multi-dimensional signals. Therefore, this paper proposes a novel acoustic feature extraction method of the rotating machinery based on the Weighted Prediction Error (WPE) integrating the Linear Constrained Minimum Variance (LCMV). The de-reverberation signal is obtained by inputting multi-channel signals into the WPE algorithm using an adaptive optimal parameters selection function with the sound field changes. Then, the incident angle going from the fault source to the center of the microphone array is calculated from the full-band sound field distribution, and the signal is de-noised and fused using the LCMV. Finally, the fault feature frequency is extracted from the fused signal envelope spectrum. The results of fault data analysis of the centrifugal pump test bench show that the Envelope Harmonic Noise Ratio (EHNR) is more than twice that of the original signal after the WPE-LCMV processing. Compared to the Recursive Least Squares and the Resonance Sparse Signal Decomposition (RLS-RSSD) and the parameter optimized Variational Mode Decomposition (VMD), the EHNR has a higher value for all types of faults after applying the WPE-LCMV processing. Furthermore, the proposed method can effectively extract the frequency of bearing faults

Inhibition of cGAS–STING pathway alleviates neuroinflammation-induced retinal ganglion cell death after ischemia/reperfusion injury

Abstract Acute glaucoma is a vision-threatening disease characterized by a sudden elevation in intraocular pressure (IOP), followed by retinal ganglion cell (RGC) death. Cytosolic double-stranded DNA (dsDNA)—a damage-associated molecular pattern (DAMP) that triggers inflammation and immune responses—has been implicated in the pathogenesis of IOP-induced RGC death, but the underlying mechanism is not entirely clear. In this study, we investigated the effect of the inflammatory cascade on dsDNA recognition and examined the neuroprotective effect of the cyclic GMP-AMP (cGAMP) synthase (cGAS) antagonist A151 on a retinal ischemia/reperfusion (RIR) mouse model. Our findings reveal a novel mechanism of microglia-induced neuroinflammation-mediated RGC death associated with glaucomatous vision loss. We found that RIR injury facilitated the release of dsDNA, which initiated inflammatory responses by activating cGAS–stimulator of interferon genes (STING) pathway. Correspondingly, elevated expressions of cGAS and STING were found in retinal samples from human glaucoma donors. Furthermore, we found that deletion or inhibition of cGAS or STING in microglia transfected with poly(dA:dT) specifically decreased microglia activation and inflammation response. We also observed that A151 treatment promoted poly(dA:dT)--stimulated changes in polarization from the M1 to the M2 phenotype in microglia. Subsequently, A151 administered to mice effectively inhibited the cGAS–STING pathway, absent in melanoma 2 (AIM2) inflammasome and pyroptosis-related molecules. Furthermore, A151 administration significantly reduced neuroinflammation, ameliorated RGC death and RGC-related reductions in visual function. These findings provide a unique perspective on glaucomatous neuropathogenesis and suggest cGAS as an underlying target of retinal inflammation to provide a potential therapeutic for acute glaucoma

Comprehensive bioinformatics analysis revealed potential key genes and pathways underlying abdominal aortic aneurysm

Abdominal aortic aneurysm (AAA) is a permanent, asymptomatic segmental dilatation of the abdominal aorta, with a high mortality risk upon rupture. Identification of potential key genes and pathways may help to develop curative drugs for AAA. We conducted RNA-seq on abdominal aortic tissues from both AAA patients and normal individuals as a control group. Integrated bioinformatic analysis was subsequently performed to comprehensively reveal potential key genes and pathways. A total of 1148 differential expressed genes (DEGs) (631 up-regulated and 517 down-regulated) were identified in our study. Gene Ontology (GO) analysis revealed enrichment in terms related to extracellular matrix organization, while KEGG analysis indicated enrichment in hematopoietic cell lineage and ECM-receptor interaction. Protein-protein interaction (PPI) network analysis revealed several candidate key genes, and differential expression of 6 key genes (CXCL8, CCL2, PTGS2, SELL, CCR7, and CXCL1) was validated by Gene Expression Omnibus (GEO) datasets. Receiver operating characteristic curve (ROC) analysis demonstrated these genes’ high discriminatory ability between AAA and normal tissues. Immunohistochemistry indicated that several key genes were highly expressed in AAA tissues. Single-cell RNA sequencing revealed differential distribution patterns of these identified key genes among various cell types. 26 potential drugs linked to our key genes were found through DGIdb. Overall, our study provides a comprehensive evaluation of potential key genes and pathways in AAA, which could pave the way for the development of curative pharmacological therapies

Prevalence and natural course of late-life depression in China primary care: A population based study from an urban community

Primary care is the most promising venue for the management of late-life depression in China. The current study was designed to establish the prevalence of major depressive disorder among older adults in primary care, and to examine the correlates, and the natural course of late-life depression over a year. A sample of 1275 adults aged over 60years was recruited from a primary care clinic in urban China for screening with PHQ-9, and 262 participants stratified by PHQ-9 score were interviewed to collect the presence of major depressive disorder (MDD), the availability of social support, and physical health and functional status. Participants were followed up for 12months at 3-month intervals. The estimated prevalence of MDD was 11.3% with the SCID interview. Increasing age, female gender, and lower educational level, living alone, low support from family, high medical illness burden, and impairment of daily function were significantly associated with MDD in later life. Less than 1% of these patients received treatments. More than 60% of patients with MDD at baseline remained depressed throughout the 12month follow-up period; and only 3 patients had been treated during the 12-month follow-up. The correlates of late-life depression observed here may not necessarily serve as risk factors guiding the development of future prevention strategies. In an urban Chinese primary care setting, late-life depression was found to be a common condition. Few patients with MDD received treatment for their condition, and the majority remained depressed over the following year

Prevalence and natural course of late-life depression in China primary care: A population based study from an urban community

BACKGROUND: Primary care is the most promising venue for the management of late-life depression in China. The current study was designed to establish the prevalence of major depressive disorder among older adults in primary care, and to examine the correlates, and the natural course of late-life depression over a year. METHODS: A sample of 1275 adults aged over 60 years was recruited from a primary care clinic in urban China for screening with PHQ-9, and 262 participants stratified by PHQ-9 score were interviewed to collect the presence of major depressive disorder (MDD), the availability of social support, and physical health and functional status. Participants were followed up for 12 months at 3-month intervals. RESULTS: The estimated prevalence of MDD was 11.3% with the SCID interview. Increasing age, female gender, and lower educational level, living alone, low support from family, high medical illness burden, and impairment of daily function were significantly associated with MDD in later life. Less than 1% of these patients received treatments. More than 60% of patients with MDD at baseline remained depressed throughout the 12 month follow-up period; and only 3 patients had been treated during the 12-month follow-up. LIMITATIONS: The correlates of late-life depression observed here may not necessarily serve as risk factors guiding the development of future prevention strategies. DISCUSSION: In an urban Chinese primary care setting, late-life depression was found to be a common condition. Few patients with MDD received treatment for their condition, and the majority remained depressed over the following year