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"Zeng, Zhou"
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A fault diagnosis method based on Auxiliary Classifier Generative Adversarial Network for rolling bearing
Rolling bearing fault diagnosis is one of the challenging tasks and hot research topics in the condition monitoring and fault diagnosis of rotating machinery. However, in practical engineering applications, the working conditions of rotating machinery are various, and it is difficult to extract the effective features of early fault due to the vibration signal accompanied by high background noise pollution, and there are only a small number of fault samples for fault diagnosis, which leads to the significant decline of diagnostic performance. In order to solve above problems, by combining Auxiliary Classifier Generative Adversarial Network (ACGAN) and Stacked Denoising Auto Encoder (SDAE), a novel method is proposed for fault diagnosis. Among them, during the process of training the ACGAN-SDAE, the generator and discriminator are alternately optimized through the adversarial learning mechanism, which makes the model have significant diagnostic accuracy and generalization ability. The experimental results show that our proposed ACGAN-SDAE can maintain a high diagnosis accuracy under small fault samples, and have the best adaptation performance across different load domains and better anti-noise performance.
Journal Article
The relationship between early adolescent bullying victimization and suicidal ideation: the longitudinal mediating role of self-efficacy
Objective
This study aims to investigate the longitudinal interplay between early adolescent bullying victimization and suicidal ideation, and to analyze the mediating role of self-efficacy in their dynamic relationship.
Methods
A cluster sampling method was employed to select 1,023 seventh-grade students from a middle school in an urban district of Hunan Province between March and December 2023. Three waves of data collection were conducted using questionnaires that included scales for adolescent bullying victimization, suicidal ideation (PANSI), and general self-efficacy (GSES). The cross-lagged panel model (CLPM) was utilized to explore the reciprocal relationships between early bullying victimization, suicidal ideation, and self-efficacy.
Results
Early adolescent bullying victimization was found to both directly and indirectly predict suicidal ideation through its impact on self-efficacy. Conversely, suicidal ideation did not directly predict the level of bullying victimization but was able to indirectly predict it through its effect on self-efficacy.
Conclusion
The bullying victimization in early adolescents can directly predict the level of suicidal ideation and can also indirectly influence suicidal ideation by affecting self-efficacy; Suicidal ideation does not directly predict the level of bullying victimization; rather, it can indirectly predict bullying victimization through its impact on self-efficacy.
Journal Article
The Experimental Study of the Validity of the Lagrange–Helmholtz Relationship in Geomagnetic Fields
Streak cameras, known for their ultra-high spatiotemporal resolution, rely heavily on the spatial resolution capabilities of their core component, the streak tube, to ensure engineering stability. However, factors such as assembly inaccuracies and external magnetic fields, including geomagnetic interference, often cause deformation and shifts in the imaging plane. To enhance equipment stability and accelerate engineering advancements, a dual approach involving hardware improvements and computational imaging-based software corrections is essential. Future image reconstruction efforts in software require robust benchmarks; however, existing benchmarks are predominantly validated under idealized conditions, neglecting real-world interference factors. This study, grounded in electron optical imaging principles, experimentally confirms that the Lagrange–Helmholtz relationship remains valid within streak tube systems under geomagnetic field influences. These findings affirm that the imaging plane retains spatial resolution consistency despite such environmental disturbances. Consequently, the need for specific image orientations during reconstruction can be eliminated, enabling the development of more robust and efficient image reconstruction algorithms.
Journal Article
The impact of physical activity on innovative behavior: a moderated mediation model
In contemporary educational practices, the innovative behavior of secondary school students is frequently inhibited by exam pressure, limiting opportunities for generating and implementing innovative ideas. Activating innovative potential through non-cognitive skill interventions during secondary school has become a crucial factor in cultivating innovative talent for higher education. This study aims to explore the impact of physical activity on the innovative behavior of middle school students. It constructs a theoretical model using Self-Determination Theory (SDT) as the core framework, with body image state as a mediator and perceived school climate as a moderator. Using the Physical Activity Scale, Body Image State Scale, Perceived School Climate Scale, and Innovative Behavior Scale, a survey was conducted with 1,643 middle school students, and hypotheses were tested through SPSS 26.0 and the PROCESS macro. (1) Physical activity significantly positively predicts innovative behavior; (2) Body image state mediates the relationship between physical activity and innovative behavior; (3) Perceived school climate moderates the relationship between physical activity and innovative behavior, with a strengthening moderation effect. Physical activity promotes innovative behavior by enhancing body image state, and supportive school resources and inclusive interpersonal environments strengthen this process. This study provides theoretical support and an operational model for integrating “physical education + innovation development” in secondary schools.
Journal Article
Phosphodiesterase type 5 inhibitor tadalafil reduces prostatic fibrosis via MiR-3126-3p/FGF9 axis in benign prostatic hyperplasia
Myofibroblast buildup and prostatic fibrosis play a crucial role in the development of benign prostatic hyperplasia (BPH). Treatments specifically targeting myofibroblasts could be a promising approach for treating BPH. Tadalafil, a phosphodiesterase type 5 (PDE5) inhibitor, holds the potential to intervene in this biological process. This study employs prostatic stromal fibroblasts to induce myofibroblast differentiation through TGFβ1 stimulation. As a result, tadalafil significantly inhibited prostatic stromal fibroblast proliferation and fibrosis process, compared to the control group. Furthermore, our transcriptome sequencing results revealed that tadalafil inhibited FGF9 secretion and simultaneously improved miR-3126-3p expression via TGFβ1 suppression. Overall, TGFβ1 can trigger pro-fibrotic signaling through miR-3126-3p in the prostatic stroma, and the use of tadalafil can inhibit this process.
Journal Article
Transneuronal Degeneration in the Brain During Glaucoma
The death of retinal ganglion cells (RGCs) is a key factor in the pathophysiology of all types of glaucoma, but the mechanism of pathogenesis of glaucoma remains unclear. RGCs are a group of central nervous system (CNS) neurons whose soma are in the inner retina. The axons of RGCs form the optic nerve and converge at the optic chiasma; from there, they project to the visual cortex via the lateral geniculate nucleus (LGN). In recent years, there has been increasing interest in the dysfunction and death of CNS and retinal neurons caused by transneuronal degeneration of RGCs, and the view that glaucoma is a widespread neurodegenerative disease involving CNS damage appears more and more frequently in the literature. In this review, we summarize the current knowledge of LGN and visual cortex neuron damage in glaucoma and possible mechanisms behind the damage. This review presents an updated and expanded view of neuronal damage in glaucoma, and reveals new and potential targets for neuroprotection and treatment.
Journal Article
CAF-derived exosomal miR-196b-5p after androgen deprivation therapy promotes epithelial-mesenchymal transition in prostate cancer cells through HOXC8/NF-κB signaling pathway
Background
Cancer-associated fibroblasts (CAFs) have been reported to play a significant role in the development and metastasis of various tumors; however, research on their role in promoting prostate cancer (PCa) metastasis under castration conditions remains unclear.
Methods
In this study, we utilized quantitative reverse transcription polymerase chain reaction (qRT-PCR) to detect the expression differences of microRNA-196b-5p (miR-196b-5p) in the exosomes secreted by CAFs before and after castration. We further characterized the transcriptional regulatory landscape through RNA sequencing combined with bioinformatics databases. In vitro and in vivo experiments were conducted to determine the role of miR-196b-5p in promoting tumor migration and metastasis. The dual-luciferase reporter assay, RT-PCR analysis, and Western blot analysis confirmed that miR-196b-5p targets HOXC8 in prostate cancer. Additionally, transwell assays and Western blot analysis were performed to elucidate the role and specific mechanisms of HOXC8 in tumor metastasis.
Results
By analyzing the expression differences of miRNAs in the exosomes secreted by CAFs before and after castration, along with relevant data from databases, we found that miR-196b-5p is highly secreted by CAFs after castration. miR-196b-5p promotes the migration and metastasis of prostate cancer cells. Subsequently, through RNA sequencing analysis and experimental validation, we determined that miR-196b-5p targets HOXC8. This interaction activates the NF-κB pathway, leading to the upregulation of epithelial-mesenchymal transition (EMT)-related protein expression, thereby driving the metastasis of prostate cancer.
Conclusions
Our study elucidates a specific mechanism by which CAF-derived exosomes promote prostate cancer metastasis via miR-196b-5p regulation, contributing to the identification of therapeutic targets for managing tumor metastasis following castration.
Journal Article
The Use of LSTM-Based RNN and SVM Models to Detect Ludian Coseismic Landslides in Time Series Images
With the increase of temporal frequency of satellite images, time series analysis based on Artificial Neural Network has become a tendency to detect land cover changes in images. We briefly introduces a case study that uses Long-Short Term Memory (LSTM), a specific Recurrent Neural Network (RNN) for time series modelling and forecasting, and Support Vector Machine (SVM) to detect landslides triggered by Ms.6.5 earthquake in Ludian, China in 2014. The study uses 72 available images with 16/30m spatial resolution from Landsat-7/8, GaoFen-1 and HJ-1A/1B satellites. Firstly, per-pixel LSTM models are trained by Normalized Difference Vegetation Index (NDVI) images before the earthquake. Secondly, the trained LSTM models are used to predict NDVI images after the earthquake. Then, anomalies or changes are detected by comparing predicted and observed NDVI images. Finally, anomalies related to landslides are separated from other changes with a SVM model which was trained by multi-spectral images in the study area. Experiment demonstrates that the recall rate and precision rate of landslides detection are 82.09% and 76.21%, respectively. The study shows a potential that the combination of LSTM and SVM models can be used to detect landslides in Landsat-like time series images with 30m resolution.
Journal Article
Malignant transformation of oral leukoplakia: a retrospective cohort study of 218 Chinese patients
Background
Oral leukoplakia (OL) is the best-known potentially malignant disorder. A new binary system to grade dysplasia was proposed by WHO, but the biological significance in predicting malignant transformation risk is unknown. The objective of this study is to estimate the rate of malignant transformation in a long-term follow-up cohort, explore the usefulness of the new binary system of grading dysplasia and identify significant risk factors of OL malignant transformation in China.
Methods
A total of 218 patients with clinical and histopathologic diagnosis of OL were retrospectively reviewed. They were selected among all archived files at the Department of Oral Mucosal Diseases, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine. The mean follow-up period was 5.3 years.
Results
Among 218 cases, 39 (17.9%) OL patients developed oral cancer, with a mean duration of 5.2 years. Cox regression analysis revealed that dysplasia was an independent risk factor for OL malignant transformation, but age, gender, lesion site, diet habit, smoking and ethanol intake were not risk factors. High-risk dysplastic OL was associated with a 4.57-fold (95% confidence interval, 2.36-8.84; P < 0.001) increased risk of malignant transformation, compared with low-risk dysplasia. Consistent with this result, high-risk dysplastic OL had signicantly higher malignant incidence than low-risk dysplasia, particularly during the first 2-3 years of follow-up, by Kaplan-Meier analysis (Log-rank test, P < 0.001).
Conclusions
The new binary system's function in predicting OL malignant transformation risk was investigated in this survey. The utilization of high-risk dysplasia as a significant indicator for evaluating malignant transformation risk in patients with OL was suggested, which may be helpful to guide treatment selection in clinical practice.
Journal Article