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Venous leg ulcer (VLU) is the most severe manifestations of chronic venous disease, which has characterized by slow healing and high recurrence rates. This typically recalcitrant and recurring condition significantly impairs quality of life, prevention of VLU recurrence is essential for helping to reduce the huge burden of patients and health resources, the purpose of this scoping review is to analyse and determine the intervention measures for preventing recurrence of the current reported, to better inform healthcare professionals and patients. The PubMed, Embase, Web of Science, Cochrane Library databases, Chinese National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature Database (CBM), Wan Fang Data and Chongqing VIP Information (CQVIP) were accessed up to June 17, 2023. This scoping review followed the five-steps framework described by Arksey and O'Malley and the PRISMA extension was used to report the review. Eleven articles were included with a total of 1503 patients, and adopted the four effective measures: compression therapy, physical activity, health education, and self-care. To conclude, the use of high pressure compression treatment for life, supplementary exercise therapy, and strengthen health education to promote self-care are recommended strategies of VLU prevention and recurrence. In addition, the importance of multi-disciplinary teams to participate in the care of VLU in crucial.
by Buyu Wang, Jingwei Qi, Xiaoping An, Yuan Wang
Accurate identification of porcine cough plays a vital role in comprehensive respiratory health monitoring and diagnosis of pigs. It serves as a fundamental prerequisite for stress-free animal health management, reducing pig mortality rates, and improving the economic efficiency of the farming industry. Creating a representative multi-source signal signature for porcine cough is a crucial step toward automating its identification. To this end, a feature fusion method that combines the biological features extracted from the acoustic source segment with the deep physiological features derived from thermal source images is proposed in the paper. First, acoustic features from various domains are extracted from the sound source signals. To determine the most effective combination of sound source features, an SVM-based recursive feature elimination cross-validation algorithm (SVM-RFECV) is employed. Second, a shallow convolutional neural network (named ThermographicNet) is constructed to extract deep physiological features from the thermal source images. Finally, the two heterogeneous features are integrated at an early stage and input into a support vector machine (SVM) for porcine cough recognition. Through rigorous experimentation, the performance of the proposed fusion approach is evaluated, achieving an impressive accuracy of 98.79% in recognizing porcine cough. These results further underscore the effectiveness of combining acoustic source features with heterogeneous deep thermal source features, thereby establishing a robust feature representation for porcine cough recognition.Newspapers are a predominant channel through which the Chinese public learns about nurses and the nursing profession. However, little nursing research has been performed in China to investigate the newspaper portrayal of nurses, and how the public perceives the role of nurses in the Chinese context is still an ambiguous phenomenon. This study aimed to clarify the public portrayals of nurses in China, and to analyze whether there are changes over time in news content related to nurses in the national newspapers.
A content analysis of the newspaper articles citing nurses that have been published since each newspaper was established.
We selected two national daily newspapers as sources to systematically search for articles about nurses from 1949 to 2022. A coding instrument was developed to quantitatively extract the contents of the articles identified. Then, using a mixed methods approach, we analyzed newspaper content to show the roles of nurses presented to the public by the media.
A total of 317 articles were analyzed. Nurses have been depicted with heterogeneous images in both newspapers with positive wordings and up to 28 types of public images. More than half of the articles portrayed two, three, or more types of images. Among the images of nurses identified, “overworked” appeared the most frequently, followed by “dedicated,” “philanthropic and benevolent,” and “with a sense of responsibility,” and then “technically skilled.” By analyzing the image of nurses in both newspapers over time, we found that images related to virtue have largely increased with time, while images about professionalism have decreased.
Nursing continues to be depicted as a virtuous caregiving profession, often forgetting the wide need for knowledge, skill, and expertise required in the occupation. The public image of nurses portrayed in the national newspapers does not accurately match their actual roles.
The public image of nurses portrayed in the national newspapers does not accurately match their actual roles. To actualize a professional role and increase social status of nurses, intentional image management is needed. Nursing schools, nursing associations, and nursing professionals should be more proactive in overcoming the stereotypical image portrayed of them and use the news media as a tool to invite attention from and dialogue with the public about the value of nursing to reframe the public's understanding of the expert role of the professional nurse in health care and to create a new and more professional image for nursing.
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