Objective:To explore the self-management experiences and outpatient nursing needs of intestinal stoma patients during the post-discharge transition period,in order to provide a basis for scientific decision-making in ...Objective:To explore the self-management experiences and outpatient nursing needs of intestinal stoma patients during the post-discharge transition period,in order to provide a basis for scientific decision-making in patient self-care and improvements in specialized stoma outpatient services.Methods:Using purposive sampling,13 colorectal cancer patients in the post-discharge transition period who had undergone intestinal stoma surgery were selected from a tertiary hospital in Shandong Province between November 2024 and March 2025.Semi-structured interviews were conducted,and data were analyzed using Colaizzi’s seven-step method to extract themes.Results:Three core themes were identified:challenges in self-management during the transition period,outpatient nursing needs during the transition period,and gaps in doctor-patient information continuity.Conclusion:Future efforts should focus on high-risk groups of stoma patients during the transition period by building intelligent and systematic outpatient guidance and support systems to improve their quality of life.展开更多
Tick-mark recognition is a key step for automatic reading of analog instrument with computer vision techniques which is called for in many automatic processes among industries. As many factors result in the tick-mark ...Tick-mark recognition is a key step for automatic reading of analog instrument with computer vision techniques which is called for in many automatic processes among industries. As many factors result in the tick-mark distortion in the sampled image such as the generally stained surface of instrument, or/and reflection and refraction of light, the accuracy and robustness of tick-mark reading are directly or indirectly weakened. Double image segmentation algorithm (DISA) is employed to solve this problem which make</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> coarse segmentation with structural parameters of instruments, and make</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> accurate segmentation with gray difference between tick-marks and their background. Tests have been conducted with 640 * 480 pixel industry camera and 4 kinds of pointer pressure meter, and the results show that read-out rate of tick-mark in pointer meter reached 100% at sufficient illumination and 76% at insufficient illumination for air packed instrument. In addition with oil packed instrument, DISA still experienced 64% recognition in comparison with 0 success record by Hough Transformation.展开更多
文摘Objective:To explore the self-management experiences and outpatient nursing needs of intestinal stoma patients during the post-discharge transition period,in order to provide a basis for scientific decision-making in patient self-care and improvements in specialized stoma outpatient services.Methods:Using purposive sampling,13 colorectal cancer patients in the post-discharge transition period who had undergone intestinal stoma surgery were selected from a tertiary hospital in Shandong Province between November 2024 and March 2025.Semi-structured interviews were conducted,and data were analyzed using Colaizzi’s seven-step method to extract themes.Results:Three core themes were identified:challenges in self-management during the transition period,outpatient nursing needs during the transition period,and gaps in doctor-patient information continuity.Conclusion:Future efforts should focus on high-risk groups of stoma patients during the transition period by building intelligent and systematic outpatient guidance and support systems to improve their quality of life.
文摘Tick-mark recognition is a key step for automatic reading of analog instrument with computer vision techniques which is called for in many automatic processes among industries. As many factors result in the tick-mark distortion in the sampled image such as the generally stained surface of instrument, or/and reflection and refraction of light, the accuracy and robustness of tick-mark reading are directly or indirectly weakened. Double image segmentation algorithm (DISA) is employed to solve this problem which make</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> coarse segmentation with structural parameters of instruments, and make</span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> accurate segmentation with gray difference between tick-marks and their background. Tests have been conducted with 640 * 480 pixel industry camera and 4 kinds of pointer pressure meter, and the results show that read-out rate of tick-mark in pointer meter reached 100% at sufficient illumination and 76% at insufficient illumination for air packed instrument. In addition with oil packed instrument, DISA still experienced 64% recognition in comparison with 0 success record by Hough Transformation.
