目的:观察苦参汤加减熏洗对混合痔外剥内扎术后创面愈合、疼痛及肛门功能的影响。方法:将86例混合痔患者按照随机数字表法分为对照组和观察组,每组各43例。对照组术后第2天给予高锰酸钾坐浴,观察组术后第2天给予苦参汤加减熏洗。比较两...目的:观察苦参汤加减熏洗对混合痔外剥内扎术后创面愈合、疼痛及肛门功能的影响。方法:将86例混合痔患者按照随机数字表法分为对照组和观察组,每组各43例。对照组术后第2天给予高锰酸钾坐浴,观察组术后第2天给予苦参汤加减熏洗。比较两组患者的临床疗效、并发症发生情况、创面愈合时间、疼痛及治疗前后视觉模拟评分(visual analog score, VAS)、肛门功能变化情况。结果:对照组有效率为79.07%,观察组有效率为95.35%,两组有效率比较,差异具有统计学意义(P<0.05)。两组患者治疗后VAS评分低于本组治疗前,且治疗后观察组低于对照组,差异有统计学意义(P<0.05)。两组患者治疗后肛管高压带长度短于本组治疗前,且治疗后观察组短于对照组,两组患者治疗后肛管舒张压、肛管最大收缩压及肛管静息压高于治疗前,且治疗后观察组高于对照组,差异均有统计学意义(P<0.05)。观察组并发症发生率低于对照组,差异有统计学意义(P<0.05)。观察组创面愈合时间短于对照组,差异有统计学意义(P<0.05)。结论:苦参汤加减熏洗可减轻混合痔外剥内扎术后疼痛程度,改善肛门功能,减少并发症的发生,促进创面愈合。展开更多
Laser cleaning is a highly nonlinear physical process for solving poor single-modal(e.g., acoustic or vision)detection performance and low inter-information utilization. In this study, a multi-modal feature fusion net...Laser cleaning is a highly nonlinear physical process for solving poor single-modal(e.g., acoustic or vision)detection performance and low inter-information utilization. In this study, a multi-modal feature fusion network model was constructed based on a laser paint removal experiment. The alignment of heterogeneous data under different modals was solved by combining the piecewise aggregate approximation and gramian angular field. Moreover, the attention mechanism was introduced to optimize the dual-path network and dense connection network, enabling the sampling characteristics to be extracted and integrated. Consequently, the multi-modal discriminant detection of laser paint removal was realized. According to the experimental results, the verification accuracy of the constructed model on the experimental dataset was 99.17%, which is 5.77% higher than the optimal single-modal detection results of the laser paint removal. The feature extraction network was optimized by the attention mechanism, and the model accuracy was increased by 3.3%. Results verify the improved classification performance of the constructed multi-modal feature fusion model in detecting laser paint removal, the effective integration of acoustic data and visual image data, and the accurate detection of laser paint removal.展开更多
文摘目的:观察苦参汤加减熏洗对混合痔外剥内扎术后创面愈合、疼痛及肛门功能的影响。方法:将86例混合痔患者按照随机数字表法分为对照组和观察组,每组各43例。对照组术后第2天给予高锰酸钾坐浴,观察组术后第2天给予苦参汤加减熏洗。比较两组患者的临床疗效、并发症发生情况、创面愈合时间、疼痛及治疗前后视觉模拟评分(visual analog score, VAS)、肛门功能变化情况。结果:对照组有效率为79.07%,观察组有效率为95.35%,两组有效率比较,差异具有统计学意义(P<0.05)。两组患者治疗后VAS评分低于本组治疗前,且治疗后观察组低于对照组,差异有统计学意义(P<0.05)。两组患者治疗后肛管高压带长度短于本组治疗前,且治疗后观察组短于对照组,两组患者治疗后肛管舒张压、肛管最大收缩压及肛管静息压高于治疗前,且治疗后观察组高于对照组,差异均有统计学意义(P<0.05)。观察组并发症发生率低于对照组,差异有统计学意义(P<0.05)。观察组创面愈合时间短于对照组,差异有统计学意义(P<0.05)。结论:苦参汤加减熏洗可减轻混合痔外剥内扎术后疼痛程度,改善肛门功能,减少并发症的发生,促进创面愈合。
文摘目的:设计一种小型伽马射线检测系统,为环境中的伽马射线检测提供技术手段。方法:该系统采用传统的闪烁晶体计数法来对伽马射线的能量进行响应,主要由一块NaI(Tl)晶体、一块对应的光电倍增管(photo-multiplier tube,PMT)阵列、位置总和电路以及上位机组成。其中定制NaI(Tl)晶体为扁平状,厚度6 mm;PMT采用多阳极位置灵敏PMT。基于LabWindows平台设计相应的系统控制及显示界面,并通过传输控制协议(transmission control protocol,TCP)实现上位机与下位机之间的通信。结果:该系统可以检测到自然环境和特殊环境下的伽马射线,而且测量的准确性也达到了要求。结论:该系统可有效、实时地检测伽马射线的存在,为后续研制成熟的小动物活体核素成像伽马相机提供了技术支持和实践基础。
基金Project(51875491) supported by the National Natural Science Foundation of ChinaProject(2021T3069) supported by the Fujian Science and Technology Plan STS Project,China。
文摘Laser cleaning is a highly nonlinear physical process for solving poor single-modal(e.g., acoustic or vision)detection performance and low inter-information utilization. In this study, a multi-modal feature fusion network model was constructed based on a laser paint removal experiment. The alignment of heterogeneous data under different modals was solved by combining the piecewise aggregate approximation and gramian angular field. Moreover, the attention mechanism was introduced to optimize the dual-path network and dense connection network, enabling the sampling characteristics to be extracted and integrated. Consequently, the multi-modal discriminant detection of laser paint removal was realized. According to the experimental results, the verification accuracy of the constructed model on the experimental dataset was 99.17%, which is 5.77% higher than the optimal single-modal detection results of the laser paint removal. The feature extraction network was optimized by the attention mechanism, and the model accuracy was increased by 3.3%. Results verify the improved classification performance of the constructed multi-modal feature fusion model in detecting laser paint removal, the effective integration of acoustic data and visual image data, and the accurate detection of laser paint removal.
