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71.
Sequential Therapy Based on Evolvement of Patterns: A New Model for Treatment of Alzheimer’s Disease
In order to solve the problem of long-term (>9 months) efficacy in the treatment of Alzheimer''s disease (AD) by conventional therapy (CT), a staged and multiply-targeted sequential therapy based on the evolvement of patterns (STEP) was developed. Its main innovations include: (1) the time order of evolution of patterns defined by Chinese medicine (CM) in AD was found, that is, "the orderly pattern evolution starting from Shen (Kidney) deficiency, progressing to phlegm, stasis and fire, and worsening to severe toxin as well as functional collapse"; (2) the cascade hypothesis of Shen deficiency in AD and its sequential therapy based on Shen-reinforcing was proposed, that is, "reinforcing Shen in the early stage and throughout the whole process, resolving phlegm, activating blood and purging fire in the middle stage, detoxifying and replenishing vitality to stop the collapse in the advanced stage", and through meta-analysis, clinical drug use was optimized, thus the leap from "inferential selection" to "evidence-based selection" was realized; (3) the STEP regimen combined with CT maintained cognitive and behavioral stability in AD patients for at least 12 months, with cognitive enhancement and behavioral synergy after 9 months, and cognitive benefit was superior to CT at 9, 12, 15, 18, 21, and 24 months, respectively. The 2-year cognitive improvement rate was increased by 25.64% (P=0.020) and the cognitive deterioration rate was decreased by 48.71% (P=0.000). Among them, the cognitive and functional benefits of Shen-reinforcing therapy for very early AD (350 cases) for 1 year were better than the placebo (P<0.001), and the dementia conversion rate was reduced by 8.85% (P=0.002). The behavioral symptomatic relief of patients with vascular dementia received fire-purging therapy (540 cases) was superior to those received CT (P=0.016). These data suggested that the STEP regimen has synergistic effects on CTs at least in terms of cognitive benefit, and the earlier the use, the greater the benefit will have. Therefore, the STEP regimen should be considered as one of the clinical options, particularly for the dearth of effective pharmaceutical or immunological interventions that are currently available for AD. 相似文献
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Algorithms based on deep neural networks (DNNs) have attracted increasing attention from the scientific computing community. DNN based algorithms are
easy to implement, natural for nonlinear problems, and have shown great potential to
overcome the curse of dimensionality. In this work, we utilize the multi-scale DNN-based algorithm (MscaleDNN) proposed by Liu, Cai and Xu (2020) to solve multi-scale
elliptic problems with possible nonlinearity, for example, the p-Laplacian problem.
We improve the MscaleDNN algorithm by a smooth and localized activation function.
Several numerical examples of multi-scale elliptic problems with separable or non-separable scales in low-dimensional and high-dimensional Euclidean spaces are used
to demonstrate the effectiveness and accuracy of the MscaleDNN numerical scheme. 相似文献
74.
目的调查嘉兴市新居民儿童心理发育行为问题及影响因素,为改善新居民儿童心理健康提供理论依据。方法随机抽取新居民儿童548例,本地儿童1248例,采用自编量表评估儿童家庭影响因素,长处与困难问卷评估儿童心理发育行为问题,心理痛苦温度计评估主观心理痛苦程度,儿童心理虐待与忽视量表评估家庭教养方式,社会支持量表评估社会支持程度。结果新居民儿童主观评定心理痛苦程度高于本地儿童(P=0.002)。新居民儿童亲社会化行为低于本地儿童(P=0.000),多动/注意缺陷问题高于本地儿童(P=0.011)。儿童忽视虐待量表本地儿童5个因子得分低于新居民儿童:责骂因子(P=0.000)、恐吓因子(P=0.000)、情感忽视因子(P=0.000)、教育忽视因子(P=0.000)、身体忽视因子(P=0.000)。社会支持量表本地儿童3个因子得分均高于新居民儿童:客观支持(P=0.032)、主观支持(P=0.000)、对支持的利用度(P=0.000)。新居民儿童在新居民儿童学校、混合学校、本地儿童学校的3类学校中亲社会化行为、忽视因子、虐待因子、社会支持均有统计学差异(均P<0.05)。结论新居民儿童较本地儿童心理发育行为明显落后,良好的家庭教养方式和有效的社会支持系统能够更快更好地促进其身心发育。 相似文献
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目的 探讨员工援助计划服务对心内科护士职业认同感、职业价值观、职业压力的影响。 方法 选择2018年1-3月我院心内科护理人员58名,为其实施员工援助计划服务,评价实施前后心内科护士的职业认同感、职业价值观、职业压力感知、职业压力反应。 结果 实施后,心内科护士工作压力源各维度评分、压力感知与压力反应各维度得分均较实施前下降(P<0.05);职业价值观各维度及职业认同感各维度评分均较实施前显著提高(P<0.001)。 结论 员工援助计划可提高心内科护士职业认同感、职业价值观,缓解其职业压力感知以及职业压力反应。 相似文献
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