超声波萃取烟叶中3-磷酸甘油脱氢酶的研究

将超声波萃取手段引入到烟叶中3-磷酸甘油脱氢酶提取方法中,并通过正交实验确定了超声波萃取烟叶中3-磷酸甘油脱氢酶(GPDH)的最佳条件为：超声波破碎功率为75w,超声波破碎间歇时间为2s,超声波破碎时间为3s,料液比为1:15g/mL;在此最佳条件下测得烟叶中3-磷酸甘油脱氢酶为0.3937U/mg蛋白,均比其他提取手段的酶活要高。     

Influence of vegetation area and edge length on mammals in urban woods

We investigated the relationships between vegetation area, edge length, and mammals in the urban woods of Daejeon Metropolitan City, South Korea. The vegetation patches included in this study varied from 2.1 to 501.0?ha in size. Surveys were conducted monthly between February and October 2015, with a survey route measuring 1?km in length and 10?m width established in each forest patch. Field signs of 14 species of mammals were recorded in the 33 chosen forest patches over the course of the study period, and the number of species in each patch varied from 2 to 11. Mammal species richness was positively correlated with vegetation area, and field sign frequency was positively correlated with vegetation area and negatively correlated with edge length. The field sign frequencies of large moles Mogera robusta, Siberian chipmunks Tamias sibiricus, leopard cats Prionailurus bengalensis, Korean hares Lepus coreanus, water deer Hydropotes inermis, and wild boars Sus scrofa were positively correlated with vegetation area. Moreover, that of large moles, leopard cats, Korean hares, and water deer were negatively correlated with edge length. Remnant vegetation area and edge length are the primary determinants of mammal species richness and field sign frequency in urban woods, highlighting the importance of vegetation patch size for mammal conservation in fragmented urban landscapes.     

基于FPGA 超声信号数字动态滤波器的实现

目的:本文研究了基于现场可编程门阵列(Field Programmable Gate Array,FPGA)超声成像系统中数字动态滤波器的实现方法和过程。方法:动态滤波器中FIR滤波器采用分布式算法(Distributed Arithmetic,DA)实现结构,并在应用中对DA算法进行了改进,包括数据并行处理结构的设计、对查找表(Look Up Table,LUT)输入字长N大小的控制和具有对称系数的FIR滤波器的采用。改进后的DA实现在FPGA资源占用和处理速度之间达到了平衡。同时,结合多级流水线结构,动态滤波器实现了数字超声信号并行处理。结果:采用常值滤波器(远场匹配参数)进行滤波后,超声回波图像远场分辨率达到了要求,但越靠近近场效果越差。相比之下,本文设计的基于FPGA超声信号动态数字滤波器达到了很好的滤波效果,使回声图像近场和远场都有最佳分辨率。结论:利用FPGA实现超声系统中动态滤波器是完全可行的,并且有助于提高系统的稳定性和可靠性,并大大减低系统成本。     

孕中晚期胎儿主动脉弓狭窄的超声诊断参数分析及其影响因素分析

摘要 目的：探究孕中晚期胎儿主动脉弓狭窄的超声诊断参数分析,并就超声诊断参数对孕中晚期胎儿主动脉弓狭窄的影响因素开展分析。方法：选择2020年7月至2021年7月于我院就诊后被确诊为孕中晚期主动脉弓狭窄的40例胎儿为狭窄组,另取同期体格检查正常的40例胎儿为对照组,以胎儿出生后超声心动图检测或尸检结果为金标准,比较两组胎儿超声指标Z-分数（AI Z-score）、升主动脉Z-分数（AO Z-score）、主动脉峡部/升主动脉（AI/AO）差异,分别绘制AI Z-score、AO Z-score以及AI/AO对孕中晚期胎儿主动脉弓狭窄的诊断ROC曲线,并计算其曲线下面积（AUC）,最后采用Logistic回归分析的方式计算孕中晚期胎儿主动脉弓狭窄影响因素。结果：（1）窄缩组胎儿的超声参数AI Z-score、AO Z-score以及AI/AO均明显低于对照组（P<0.05）;（2）AI/AO为孕中晚期胎儿主动脉弓狭窄的危险因素（P<0.05）;（3）AI Z-score、AO Z-score、AI/AO以及联合检测对胎儿主动脉弓狭窄的诊断AUC分别为0.801（95% CI=0.691-0.910,P<0.001）、0.835（95% CI=0.739-0.932,P<0.001）、0.843（95% CI=0.757-0.929,P<0.001）、0.920（95% CI=0.865-0.975,P<0.001）,截断值分别为-1.64、-1.47和0.535,诊断灵敏度和特异度分别为72.50%和72.50%、77.50%和77.50%、75.00%和80.00%、85.00%和82.50%。结论：超声诊断对孕中晚期胎儿主动脉弓狭窄具有较好的诊断价值,其指标AI Z-score、AO Z-score、AI/AO能够量化分析孕中晚期胎儿主动脉弓狭窄风险,可以考虑将其应用于临床中。     

超声驱鼠器对黄毛鼠的驱逐效果

正始于20世纪中叶的超声驱鼠器是物理防治鼠害的重要手段之一(Frings,1948;汪诚信,1982;陈毅和刘全生,2016)。起初人们发现鼠类可听到超声(Gould and Morgan,1941;Schleidt,1948),Frings(1948)基于听源性惊厥(audiogenic seizure)的动物反应提出可用超声来驱逐害鼠。其后,Anderson(1954)首次报道实验大鼠夹尾时会     

Do Bees and Hornets Use Acoustic Resonance in Order to Monitor and Coordinate Comb Construction?

We propose that social hornets and bees, who construct large arrays (known as combs) of cells for hatching and brooding their offspring, exploit ultrasonic acoustic resonances in those cells in order to implement the accurate honeycomb structure exhibited by those arrays. This idea is supported by a number of theoretical considerations, including a detailed analysis of the spectrum of lateral acoustic resonances in a cell with circular cross section, considered as an approximation to the actual perfect hexagon shape. It is also supported by the results of some previous measurements of the acoustic spectrum in a nest of Oriental hornets.     

Optimization of ultrasonic circulating extraction of polysaccharides from Asparagus officinalis using response surface methodology

Polysaccharides were extracted from Asparagus officinalis. A novel ultrasonic circulating extraction (UCE) technology was applied for the polysaccharide extraction. Three-factor-three-level Box-Behnken design was employed to optimize ultrasonic power, extraction time and the liquid-solid ratio to obtain a high polysaccharide yield. The optimal extraction conditions were as follows: ultrasonic power was 600 W, extraction time was 46 min, the liquid-solid ratio was 35 mL/g. Under these conditions, the experimental yield of polysaccharides was 3.134%, which was agreed closely to the predicted value. The average molecular weight of A. officinalis polysaccharide was about 6.18 × 10⁴ Da. The polysaccharides were composed of glucose, fucose, arabinose, galactose and rhamnose in a ratio of 2.18:1.86:1.50:0.98:1.53. Compared with hot water extraction (HWE), UCE showed time-saving, higher yield and no influence on the structure of asparagus polysaccharides. The results indicated that ultrasonic circulating extraction technology could be an effective and advisable technique for the large scale production of plant polysaccharides.