负压吸引技术应用于大面积烧伤患者围术期的效果探究

目的:探究环磷酸腺苷联合负压吸引技术应用于大面积烧伤患者围术期的效果及肾保护作用探究。方法:选择2018年12月到2020年12月于医院治疗的120例大面积烧伤患者为研究对象,以随机数字表法对患者分组,60例患者为研究组,60例患者为对照组,对照组给予负压吸引技术治疗,研究组在此基础上给予环磷酸腺苷治疗,治疗前、后测定两组患者干扰素-γ(IFN-γ)、白细胞介素-2(IL-2)、白细胞介素-10(IL-0)、白细胞介素-6(IL-6)、可溶性血管细胞粘附分子-1(sVCAM-1)、一氧化氮(NO)、内皮素(ET-1)、血管内皮生长因子(VEGF)、胱抑素C(Cys-C)、肌酐(Scr)、血尿素氮(BUN)、肾损伤分子-1(KIM-1)水平,记录两组患者手术时间、麻醉苏醒时间、住院时间。结果:研究组IFN-γ、IL-6水平低于对照组(P<0.05),研究组患者IL-2、IL-10水平高于对照组(P<0.05),研究组NO、VEGF水平高于对照组(P<0.05),研究组患者sVCAM-1、ET-1水平低于对照组(P<0.05),研究组患者Cys-C、Scr、BUN、KIM-1水平低于对照组(P<0.05),研究组手术时间低于对照组(P>0.05),研究组麻醉苏醒时间、住院时间低于对照组(P<0.05)。结论:环磷酸腺苷联合负压吸引技术应用于大面积烧伤围术期患者,可降低患者IFN-γ、IL-6水平,提升患者IL-2、IL-10水平,抑制患者炎症,改善患者血管内皮功能,降低患者Cys-C、Scr、BUN、KIM-1水平,减少患者肾功能损伤,减少患者麻醉苏醒时间及住院时间。     

Sustainability accounting for the construction and operation of a plant‐scale solar‐biogas heating system based on emergy analysis

Domestic heating systems have long been playing a significant role in China's energy structure. The sustainability of a hybrid solar‐biogas heating system (SBHS) under various feedstock fermentation scenarios was evaluated using emergy analysis. Representative emergy indices such as transformities, emergy yield ratio (EYR), environmental loading ratio (ELR), emergy sustainability index (ESI), ratio of waste treatment (%W), feedback yield ratio (FYR), and emission mitigation intensity (EMI; g/10¹⁰ sej) were selected to evaluate the sustainability performance of different feedstock scenarios including cow dung (CD), swine manure (SM), and poultry manure (PM). The results showed that PM fermentation scenario had greater market competitiveness, lower environmental pressure, better sustainability, and self‐organizing ability than the other two options. However, both the emergy efficiency and the CO₂ emissions mitigation intensity of PM scenario were worse than that of the SM and CD. Moreover, compared with other biogas systems and traditional agricultural systems, the hybrid SBHS was proved to be a promising mode for the treatment of rural manure waste with favorable economic benefits and environmental sustainability.     

高速公路工程造价控制SD模型与应用研究

高速公路工程投资规模大,其工程造价广为社会公众关注,因高速公路投资控制中"三超"问题突出,亟需探寻高速公路事前、主动的工程造价控制路径和方法.结合文献统计确立设计阶段工程造价控制指标体系,基于SD理论,绘制因果关系图和系统存量流量图,进而构建高速公路工程造价控制的SD模型,采用定性与定量相结合的方法研究工程造价控制的系统结构;并以JS高速公路项目为例,实证检验工程造价控制SD模型的先进性和适用性,为高效、精准控制高速公路工程造价提供新的思路和方法,也为高速公路项目投资决策提供科学依据和方法支持.     

中国保健酒的历史发展及研究进展

保健酒是中国的传统酒类饮品之一，通常是将药食两用的动植物原料经浸提、渗漉、提取等方式加工而成，其中包含了多糖、黄酮、皂苷等多种原料有效成分，具有一定的养生作用。随着经济的发展和人们对健康的重视，保健酒的需求量逐渐增加。该文回顾了中国保健酒的发展历史，总结了保健酒工艺、成分鉴定以及功能的研究进展，并根据现有的研究，对保健酒行业的发展前景进行了展望。     

基于爆管识别的压力监测点优化布置

通过阐述压力监测点优化布置原则及思路,基于爆管事件数据库设定拟布置压力点数量.开展能够准确监测爆管事件且识别较多压力监测点的优化布置方法研究,并根据研究区管网概况构建爆管模拟水力模型,通过对爆管识别阈值的确定和监测点现状评估,分析新增压力监测点布置位置.最终分析确定了监测管径DN400以上,监测流量为300 m3/h的爆管,需要新增压力监测点50个,监测流量为400 m3/h的爆管,需要新增压力监测点20个.     

Raman spectroscopy as process analytical tool in downstream processing of biotechnology

Downstream processing or product recovery plays a vital role in the development of bioprocesses. To improve the bioprocess efficiency, some unconventional methods are much required. The continuous manufacturing in downstream processing makes the Process Analytical Technologies (PATs) as an important tool. Monitoring and controlling bioprocess are an essential factor for the principles of PAT and quality by design. Spectroscopic methods can apply to monitor multiple analytes in real-time with less sample processing with significant advancements. Raman spectroscopy is an extensively used technique as an analytical and research tool owing to its modest process form, non-destructive, non-invasive optical molecular spectroscopic imaging with computer-based analysis. Generally, its application is essential for the analysis and characterization of biological samples, and it is easy to operate with minimal sample. The innovation on various types of enhanced Raman spectroscopy was designed to enhance the Raman analytical technique. Raman spectroscopy could couple with chemometrics to provide reliable alternative analysis method of downstream process analysis. Thus, this review aims to provide useful insight on the application of Raman spectroscopy for PAT in downstream processing of biotechnology and Raman data analysis in biological fields.     

Progressive mean control chart is not a special case of an exponentially weighted moving average control chart

The progressive mean (PM) statistic is based on a simple idea of accumulating information of each subgroup by calculating the average progressively. Its weighting structure is based on a subgroup number that changes arithmetically, which makes the PM chart unique and efficient compared with the existing classical memory control charts. In a recent article (see reference 1), it was claimed that the PM chart is a special case of the exponentially weighted moving average (EMWA) chart. In this article, it is shown that even though the PM statistic can be written in the form of an EWMA statistic, the variance of the PM statistic is different from that of the EWMA statistic. Consequently, the limits of the PM chart are different from that of the EWMA chart. Therefore, it is found that the PM chart is not a special case of the EWMA chart; hence, the claim in reference 1 is incorrect. Furthermore, it is pointed out in this paper that no adaptive property in the weighting parameter of the PM statistic exists, further contradicting the claim in reference 1.