Correlation analysis of osteonecrosis of the femoral head with blood lipid and coagulation indexes

Objective: To explore the correlation between different types of osteonecrosis of the femoral head and blood lipids and coagulation indexes, in order to provide relevant references for the pathogenesis of osteonecrosis of the femoral head. Methods: 308 cases of ONFH were divided into alcohol group (165 cases), hormone group (113 cases), trauma group (30 cases), and basic data of patients were collected. Blood lipid indicators: total cholesterol, triglycerides, high density lipoprotein cholesterol, low density lipoprotein cholesterol, apolipoprotein A, apolipoprotein B;coagulation indicators: activated partial thromboplastin time, plasma prothrombin time, fibrinogen, thrombin time indicators, using analysis of variance method for different types of osteonecrosis of the femoral head and blood lipids, coagulation indicators Search for relevance. Results: 1. Comparison of three groups of blood lipid indicators: total cholesterol and low density lipoprotein cholesterol in the alcohol group were higher than those in the trauma group (P<0.05);total cholesterol, triglycerides, and low density lipoprotein in the alcohol group The three indexes of cholesterol were higher than those of the hormone group (P<0.05). There was no significant difference in the serum lipid indexes of the hormone group and the trauma group (P>0.05). 2. Comparison of three groups of coagulation indicators: hormone The fibrinogen index of the group was higher than that of the trauma group (P<0.05). There was no significant difference in the coagulation index between the alcohol group and the trauma group (P>0.05). The coagulation index of the hormone group and the alcohol group was compared. The differences were not statistically significant (P>0.05). Conclusions: 1. Non-traumatic osteonecrosis of the femoral head (alcoholic, hormonal) patients are characterized by markedly elevated blood lipids (total cholesterol, low density lipoprotein cholesterol) and coagulation (fibrinogen) indicators;2. Intravascular coagulation and lipid metabolism disorders may be the pathological basis of non-traumatic Osteonecrosis of the femoral head.

Antipyretic Effects of Liposoluble Fractions of Viola yedoensis

Objective To clarify the antipyretic effect of the Chinese materia medica, Violae Herba （Viola yedoensis）, and its active fractions by examining the effects of V. yedoensis extracts with differing polarities on body temperature, total white blood cell （WBC） count, WBC differential count, and total serum complement of rabbits with lipopolysaccharide （LPS）-induced fever. Methods The rabbits were treated with water and ethanolic extracts of V. yedoensis, as well as petroleum ether, ethyl acetate, and n-butanol fractions of the ethanolic extract at low-, mid- and high- doses. The LPS was injected via the ear vein of rabbits in model and treatment groups 30 min post-gavage. Their body temperature was measured at 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, and 6.0 h after the LPS challenge to calculate the temperature changes and thermal response index. After the last temperature measurement, blood samples were collected to determine the blood cell counts and total serum complement （CHs0） level. Results Compared with the model group, body temperature was significantly lower in the low-dose ethanolic extract group, low- and mid-dose petroleum ether fraction groups, and all three ethyl acetate fraction groups. Serum CHs0 levels were lower in all treatment groups, except the ethanolic extract groups, than that in the model group, with no significant difference. V. yedoensis had no significant effect on the blood cells of febrile rabbits challenged with LPS for 6 h. Conclusion The antipyretic effects of V. yedoensis are strong, and its active fractions are the petroleum ether and ethyl acetate fractions of ethanolic extract.

Mountain pass solutions to a generalized Frenkel-Kontorova model

We study a generalized Frenkel-Kontorova model and obtain periodic and heteroclinic mountain pass solutions.The heteroclinic mountain pass solution in the second laminations is new to the generalized Frenkel-Kontorova model.Our proof follows that of Bolotin and Rabinowitz(2005)for an Allen-Cahn equation,which is different from the heat flow method of finding the critical point of the Frenkel-Kontorova model in the literature.The proofs depend on suitable choices of functionals and working spaces.We also study the multiplicity of these mountain pass solutions.

基于近红外光谱技术的东阿阿胶生产厂家和存放时间鉴定方法研究（英文）

目的:对东阿阿胶的生产厂家和存放时间进行鉴定,为东阿阿胶的品牌保护和质量控制提供技术手段。创新点:首次报道采用近红外光谱指纹图谱技术和相关的化学计量学方法对东阿阿胶进行质量控制。方法:收集有代表性的阿胶样品,其中包括来自不同厂家的阿胶、黄明胶、龟甲胶、鹿角胶样品188份和来自东阿阿胶股份有限公司2005～2012年间生产的阿胶,每年30批,共计240份东阿阿胶样品。采集样品光谱,采用Hotelling T^2、DModX和相似度匹配值等统计量作为判断标准,进行东阿阿胶品牌的鉴定;采用偏最小二乘判别分析(PLS-DA)方法进行东阿阿胶存放年限的判别分析。结论:所建立的方法可有效区分东阿阿胶与黄明胶、龟甲胶、鹿角胶、以及其他品牌的阿胶,可用于东阿阿胶的品牌保护;利用PLS-DA可对不同存放年限的东阿阿胶进行判别分析,结果令人满意。

Multi-parameter optimization of machining impeller surface based on the on-machine measuring technique

Selecting the optimal machining parameters for impeller surface is a challenging task in the automatic manufacturing industry, due to its free-form surface and deep-crooked flow channel.Existing experimental methods require lots of machining experiments and off-line tests, which may lead to high machining cost and low efficiency. This paper proposes a novel method of machining parameters optimization for an impeller based on the on-machine measuring technique. The absolute average error and standard deviation of the measured points are used to define the grey relational grade for reconstructing the objective function, and the complex problem of multi-objective optimization is simplified into a problem of single-objective optimization. Then, by comparing the values of the defined grey relational grade in a designed orthogonal experiment, the optimal combination of the machining parameters is obtained. The experiment-solving process of the objective function corresponds to the minimization of the used errors, which is advantageous to reducing the machining error. The proposed method is efficient and low-cost, since it does not require re-clamping the workpiece for off-line tests. Its effectiveness is verified by an on-machine inspection experiment of the impeller blade.

基于近红外光谱技术的大黄苏打片混合工艺终点判断方法的研究

目的:探究密度效应对模型性能的影响,旨在建立一种稳健性更好的模型来实现大黄苏打片混合终点的准确判断。创新点:通过将密度差异变量引入模型校正集中的方法,建立了一种稳健性更好的原辅料多组分定量校正模型。方法:利用15批样品建立包含密度效应和未包含密度效应的偏最小二乘回归校正模型,并利用模型对3个未知批次样品进行终点监测。同时,使用主成分分析-移动块标准偏差算法对3批样品混合终点进行定性判别。分别使用基于近红外光谱技术的定性、定量分析方法,实现对大黄苏打片混合终点进行准确监测的目的。结论:粉体密度效应对模型预测性能的提高起到了重要作用。与普通模型相比,本研究所开发的压力不敏感模型展示了更加稳健的预测性能,这种稳健建模策略具有一定的推广应用前景。

基于近红外光谱法的党参醇沉上清液中多种成分的同时定量（英文）

目的:建立党参醇沉上清液中多指标的快速近红外光谱分析法,帮助实现党参醇沉中间体的实时放行检测。创新点:采用近红外光谱技术建立党参醇沉过程中间体的质控方法,实现醇沉上清液中4种关键质量属性的同时定量。方法:将近红外光谱技术与多变量数据处理相结合,在建模样本制备中,通过实验设计的方法引入过程参数的波动(表1和表2),先浓缩后稀释的方法进一步扩大样品浓度范围,以模型预测能力为指标选择了最优的预处理方法、建模波段和回归算法,得到4个指标的最佳回归模型。结论:实现了党参醇沉上清液中4类指标的近红外光谱快速分析法,所建党参炔苷、总黄酮、色素和固含量模型的预测均方根误差(RMSEP)值分别为1.22μg/ml、10.50μg/ml、1.43μg/ml和0.433%。