Search

In video surveillance and intelligent traffic,bad weather such as foggy,rainy and snowy can seriously affect the visibility of video images.Therefore,it is very important to quickly identify the current weather conditions and make adaptive clearness processing of surveillance videos.Aiming at the problems of poor effect of traditional weather recognition methods and lack of weather image data sets,a multi-class weather image blocks data set is constructed,and a weather recognition algorithm based on image blocks and feature fusion is proposed.The algorithm uses traditional methods to extract four features,namely average gradient,contrast,saturation and dark channel,which are taken as the shallow features of weather images.The algorithm uses transfer learning to fine -tune the VGG16 pre-training model,and extracts the full-connection layer features of the fine-tuning model,which are taken as the deep features of the weather image.The shallow and deep features of weather images are fused and used as the final features to train the Softmax classifier.The classifier can realize the recognition of foggy,rainy,snowy and sunny wea-ther images. Experimental results show that the recognition accuracy of the proposed algorithm can reach 99.26%,and the algorithm can be used as a weather recognition module in the adaptive video image sharpening system.

Background: The relationship between surgical sperm retrieval of different etiologies and clinical pregnancy is unclear. We aimed to develop a robust and interpretable machine learning (ML) model for predicting clinical pregnancy using the SHapley Additive exPlanation (SHAP) association of surgical sperm retrieval from testes of different etiologies. Methods: A total of 345 infertile couples who underwent intracytoplasmic sperm injection (ICSI) treatment with surgical sperm retrieval due to different etiologies from February 2020 to March 2023 at the reproductive center were retrospectively analyzed. The six machine learning (ML) models were used to predict the clinical pregnancy of ICSI. After evaluating the performance characteristics of the six ML models, the Extreme Gradient Boosting model (XGBoost) was selected as the best model, and SHAP was utilized to interpret the XGBoost model for predicting clinical pregnancies and to reveal the decision-making process of the model. Results: Combining the area under the receiver operating characteristic curve (AUROC), accuracy, precision, recall, F1 score, brier score, and the area under the precision-recall (P-R) curve (AP), the XGBoost model has the best performance (AUROC: 0.858, 95% confidence interval (CI): 0.778–0.936, accuracy: 79.71%, brier score: 0.151). The global summary plot of SHAP values shows that the female age is the most important feature influencing the model output. The SHAP plot showed that younger age in females, bigger testicular volume (TV), non-tobacco use, higher anti-müllerian hormone (AMH), lower follicle-stimulating hormone (FSH) in females, lower FSH in males, the temporary ejaculatory disorders (TED) group, and not the non-obstructive azoospermia (NOA) group all resulted in an increased probability of clinical pregnancy. Conclusions: The XGBoost model predicts clinical pregnancies associated with testicular sperm retrieval of different etiologies with high accuracy, reliability, and robustness. It can provide clinical counseling decisions for patients with surgical sperm retrieval of various etiologies. [ABSTRACT FROM AUTHOR]

Objectives We determined the common clinical characteristics of patients infected with Helicobacter pylori (H. pylori) and investigated the relationship between H. pylori infection, and clinical symptoms, and gastroscopic manifestations. Our focus was specifically on the clinical manifestations in asymptomatic patients. Methods We obtained the physical examination data of patients who underwent the 14C urea breath test between January 2018 and December 2020 at our Hospital. Basic demographic data, questionnaire data on clinical symptoms, and clinical examination data of the patients were also collected, and the correlation analysis was performed. Results A total of 2863 participants were included in the study. The overall H. pylori infection rate was 26.30%. The clinical symptoms between H. pylori -positive patients and H. pylori- negative patients did not differ significantly (P  > .05). However, H. pylori -positive patients exhibited more severe gastroscopic manifestations (P  < .001). The 14C urea breath test disintegrations per minute (DPM) values in H. pylori -positive patients correlated with their serum pepsinogen and gastrin-17 levels. With an increase in the DPM value, more combinations of clinical symptoms appeared in the patients. Among H. pylori -positive patients, DPM levels in asymptomatic patients were lower than those in symptomatic patients (P  < .001). However, gastroscopic manifestations did not vary significantly between asymptomatic and symptomatic patients (P  > .05). Conclusion Patients infected with H. pylori showed no specific gastrointestinal symptoms. Patients with asymptomatic infection showed lower DPM levels, but their gastroscopic manifestations were similar to those of patients with symptomatic infection, and their lesions were more severe than H. pylori -negative people. Key message What is already known on the subject H. pylori is highly contagious and is an important etiological factor for many kinds of disease. Eradication of H. pylori infection can decrease the cost of prevention, diagnosis, and treatment of H. pylori -associated diseases, but the eradication therapy may lead to adverse drug reactions. It has been suggested the treatment for asymptomatic infections should not overkill. What we have found Gastroscopic manifestations of asymptomatic patients were similar to those of symptomatic patients. Both of their lesions were more severe than H. pylori -negative individuals. We provide a theoretical basis for the consideration of the need for further gastroscopy and treatment in clinically asymptomatic infected patients. [ABSTRACT FROM AUTHOR]

This study aimed to explore the mechanism of naringin (Nar) in alleviating ultraviolet B (UVB)‐induced HaCaT cell senescence and damage. Human keratinocytes (HaCaT cells) were divided into control, UVB, UVB + Nar, UVB + Cap, and UVB + Nar + Cap groups. Analysis was performed using the MTT assay to assess cell viability, flow cytometry to measure the apoptosis level, SA‐β‐Gal staining to observe cellular senescence, and Western blot to assess protein levels of TRPV1, p16, p53, p21, matrix metalloproteinase (MMP)‐1, and MMP‐9. Both UVB irradiation and capsaicin (Cap) treatment upregulated the expression of TRPV1 in HaCaT cells, inhibited cell proliferation, promoted apoptosis, and increased the expression of p16, p53, p21, MMP‐1, and MMP‐9. Nar treatment reversed the above effects via inhibition of TRPV1 expression, thereby relieving senescence and cell damage induced by UVB irradiation. Taken together, these findings suggest that Nar can reduce UVB‐induced senescence and damage in HaCaT cells by acting as an antagonist of TRPV1. [ABSTRACT FROM AUTHOR]