亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Uncertainty analysis and optimization for mild moxibustion

艾灸 区间(图论) 可靠性(半导体) 渗透(战争) 计算机科学 数学 医学 针灸科 热力学 物理 运筹学 功率(物理) 替代医学 病理 组合数学
作者
Honghua Liu,Zhiliang Huang,Lei Wei,He Huang,Qian Li,Han Peng,Mailan Liu
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:18 (4): e0282355-e0282355 被引量:1
标识
DOI:10.1371/journal.pone.0282355
摘要

During mild moxibustion treatment, uncertainties are involved in the operating parameters, such as the moxa-burning temperature, the moxa stick sizes, the stick-to-skin distance, and the skin moisture content. It results in fluctuations in skin surface temperature during mild moxibustion. Existing mild moxibustion treatments almost ignore the uncertainty of operating parameters. The uncertainties lead to excessive skin surface temperature causing intense pain, or over-low temperature reducing efficacy. Therefore, the interval model was employed to measure the uncertainty of the operation parameters in mild moxibustion, and the uncertainty optimization design was performed for the operation parameters. It aimed to provide the maximum thermal penetration of mild moxibustion to enhance efficacy while meeting the surface temperature requirements. The interval uncertainty optimization can fully consider the operating parameter uncertainties to ensure optimal thermal penetration and avoid patient discomfort caused by excessive skin surface temperature. To reduce the computational burden of the optimization solution, a high-precision surrogate model was established through a radial basis neural network (RBNN), and a nonlinear interval model for mild moxibustion treatment was formulated. By introducing the reliability-based possibility degree of interval (RPDI), the interval uncertainty optimization was transformed into a deterministic optimization problem, solved by the genetic algorithm. The results showed that this method could significantly improve the thermal penetration of mild moxibustion while meeting the skin surface temperature requirements, thereby enhancing efficacy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
heihei完成签到,获得积分10
1秒前
1秒前
2秒前
黄伊若完成签到 ,获得积分10
6秒前
生动的若之完成签到 ,获得积分10
7秒前
葵秋发布了新的文献求助30
8秒前
汉堡包应助Crw__采纳,获得10
15秒前
希望天下0贩的0应助穆清采纳,获得10
17秒前
21秒前
22秒前
22秒前
luyuhao3完成签到,获得积分10
23秒前
25秒前
得我完成签到,获得积分10
25秒前
Rn完成签到 ,获得积分10
34秒前
科研通AI2S应助科研通管家采纳,获得10
40秒前
在水一方应助科研通管家采纳,获得10
40秒前
共享精神应助科研通管家采纳,获得10
40秒前
大模型应助科研通管家采纳,获得10
40秒前
Magali应助科研通管家采纳,获得10
40秒前
45秒前
48秒前
wzh19940205完成签到,获得积分10
49秒前
52秒前
得我发布了新的文献求助30
53秒前
wf完成签到,获得积分10
53秒前
1分钟前
paper完成签到 ,获得积分10
1分钟前
哈哈嘻嘻完成签到,获得积分10
1分钟前
1分钟前
1分钟前
胡图图啦啦完成签到 ,获得积分10
1分钟前
一只熊完成签到 ,获得积分10
1分钟前
1分钟前
小二郎应助Amikacin采纳,获得20
1分钟前
1分钟前
胡萝卜完成签到 ,获得积分10
1分钟前
陪你长大发布了新的文献求助10
1分钟前
哇哈哈发布了新的文献求助10
1分钟前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Aspects of Babylonian celestial divination : the lunar eclipse tablets of enuma anu enlil 1500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
지식생태학: 생태학, 죽은 지식을 깨우다 600
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3455594
求助须知:如何正确求助?哪些是违规求助? 3050813
关于积分的说明 9022815
捐赠科研通 2739392
什么是DOI,文献DOI怎么找? 1502707
科研通“疑难数据库(出版商)”最低求助积分说明 694586
邀请新用户注册赠送积分活动 693387