Research Progress of Zhuang Medicine Combined with Nanogels in Mastitis

Mastitis is a common and frequently-occurring disease among Chinese women, which seriously harms their mental and physical health. External application of Zhuang medicine has the effects of dredging collaterals, relieving pain, promoting blood circulation, removing blood stasis, and softening hardness to dissipate stagnation, and show definite curative effect in preventing and treating breast diseases. Nano-composite hydrogels have the advantages of small toxic and side effects, high bioavailability, high targeting and controllable drug release. Therefore, this paper summarized and analyzed relevant literature of Zhuang medicine in treating breast diseases and clinical research of nanogels, providing new ideas and scientific basis for the treatment of mastitis with Zhuang medicine combined with nanogels.

Autotuning algorithm of particle swarm PID parameter based on D-Tent chaotic model

An improved particle swarm algorithm based on the D-Tent chaotic model is put forward aiming at the standard particle swarm algorithm. The convergence rate of the late of proposed algorithm is improved by revising the inertia weight of global optimal particles and the introduction of D-Tent chaotic sequence. Through the test of typical function and the autotuning test of proportionalintegral-derivative （PID） parameter, finally a simulation is made to the servo control system of a permanent magnet synchronous motor （PMSM） under double-loop control of rotating speed and current by utilizing the chaotic particle swarm algorithm. Studies show that the proposed algorithm can reduce the iterative times and improve the convergence rate under the condition that the global optimal solution can be got.

EEMD and bidimensional RLS to suppress physiological interference for heterogeneous distribution in fNIRS study

Near-infrared spectroscopy(NIRS)can provide the hemodynamics information based on the hemoglobin concentration representing the blood oxygen metabolism of the cerebral cortical,which can be deployed for the cerebral function study.However,NIRS-based cerebral function detection accuracy can be signi¯cantly in°uenced by the physiological activities such as cardic cycle,respiration,spontaneous low-frequency oscillation and ultra-low frequency oscillation.The distribution difference of the capillary,artery and vein leads to the heterogeneity feature of the cerebral tissues.In the case that the heterogeneity is not serious,good detection accuracy and stable performance can be achieved through the regression analysis as the reference signal can well represent the interference in the measurement signal when conducting the multi-distance measurement approach.The direct use of the reference signal to estimate the interference is not able to achieve good performance in the case that the heterogeneity is serious.In this study,the cerebral function activity signal is extracted using recursive least square(RLS)method based on the multi-distance measurement method in which the reference signal is processed by ensemble empirical mode decomposition(EEMD)algorithm.The temporal and dimensional correlation of the neighboring sampling values are applied to estimate the interference in the measurement signal.Monte Carlo simulation based on a heterogeneous model is adopted here to investigate the effectiveness of this methodology.The results show that this methodology can effectively suppress the physiological interference and improve the detection accuracy of cerebral activity signal.

Evaluation of Comprehensive Performance of Agronomic Traits of Anmai 1241 by Grey Correlation Analysis and Cluster Analysis Methods

The agronomic traits of the new wheat variety Anmai 1241 were comprehensively evaluated,in order to provide comprehensive and objective theoretical basis for further improvement and production utilization of this variety.The winter water production test results of Anmai 1241 in 14 pilot sites of Henan Seed Management Station from 2016 to 2017 were summarized.The comprehensive performance of 11 agronomic traits of Anmai 1241 in different tests sites in Henan Province was evaluated by the grey correlation analysis and clustering analysis methods.The results showed that among the observed values of 11 traits,the variation coefficient,correlation degree and weight of black embryo rate were 181.64%,0.6679 and 0.1051,respectively.The clustering analysis showed that the 11 traits could be divided into 3 groups.The first type of traits(yield,number of grains per ear and 1000-grain weight)and the third group of traits(percentage of earbearing tillers,number of productive tillers and volume weight)belonged to the yield factor traits,and the sum of their weights was 0.5242.Yield and its related factors played an important role in the variety evaluation of Anmai 1241,and the effect of black embryo on yield should be eliminated in variety improvement.

急性胰腺炎合并糖尿病患者的临床特征及血糖代谢与病情严重度的相关性

目的探讨急性胰腺炎合并糖尿病患者的临床特征及血糖代谢与病情严重度的相关性。方法回顾性收集长春市中心医院2020年1月至2022年12月收治的急性胰腺炎患者268例,根据患者既往是否存在糖尿病,将患者分为糖尿病组(n=90)和非糖尿病组(n=178),比较两组患者病情严重度和血糖代谢情况,分析血糖代谢情况与急性胰腺炎患者病情严重度的相关性。结果与非糖尿病组比较,糖尿病组患者SOFA≥4分的患者比例显著增高(11.11%比3.93%,P=0.023);SAP的比例显著增高(31.11%比15.17%,P=0.002);需要外科引流的患者比例更高(31.11%比15.17%,P=0.002);空腹血糖显著升高(9.35±1.06 mmol/L比5.38±0.82 mmol/L,P=0.000);糖化血红蛋白显著升高(8.31%±1.41%比5.00%±1.14%,P=0.000)。糖化血红蛋白对合并糖尿病的急性胰腺炎患者发展至重症急性胰腺炎具有较好的预测价值,曲线下面积为0.828,95%CI0.736~0.919,P=0.000。空腹血糖、糖化血红蛋白与SOFA评分呈正相关性(r=0.285,P=0.006;r=0.219,P=0.038)。结论糖尿病是急性胰腺炎患者病情加重的一个预测指标,控制血糖代谢,可能有利于改善急性胰腺炎患者预后。