多媒体教学在精细化学品化学和天然产物化学课程教学中的应用

随着计算机技术的迅速发展和普及,传统模式的教学方法逐渐被多媒体教学所取代.从课程特点出发,介绍了多媒体教学在精细化学品化学和天然产物化学课程教学中的优势,结合多媒体技术在精细化学品化学和天然产物化学教学中的应用,阐述了多媒体技术在相应教学中的作用.     

Tropic1808基因重组蛋白对损伤坐骨神经脊髓细胞凋亡的影响

探讨Tropic1808基因重组蛋白对损伤坐骨神经的新生大鼠脊髓细胞凋亡影响,将新生SD大鼠一侧坐骨神经切断后,用无菌止血海绵包裹断离的神经近侧端,海绵内加入Tropic1808基因重组蛋白,阳性用神经生长因子、阴性用生理盐水作为对照;术后3、6、12h经TUNEL法染色,在光镜、电镜和图像分析系统下,了解L4－L5段脊髓细胞凋亡情况。得到生理盐水组的脊髓出现大量绸亡细胞;Tropic1808基因重组蛋白组凋亡细胞数量较生理盐水组显减少;Tropic1808基因重组蛋白组与神经生长因子组之间凋亡细胞数量的差别无显性意义。说明Tropic1808基因重组蛋白有保护受损神经组织,减少细胞凋亡的作用。     

KM小鼠与BALB／c小鼠五项免疫学指标的初步观察

采用五种免疫功能测定法对８３２只健康ＫＭ小鼠和８３只ＢＡＬＢ／ｃ小鼠进行免疫学功能指标的测定,结果表明ＣｏｎＡ诱导小鼠脾淋巴细胞转化能力ＯＤ值分别为０．０１４８－０．０１９２和０．０１２０１～０．０２０６,二硝基氟苯诱导小鼠迟发型变态反应（耳肿胀法）小鼠耳重差分别为１０．３９～１２．１７ｍｇ和１１．４６８～１６．２３４ｍｇ;血清溶血素抗体积数分别为７８．９８～９１．３０和１０６．７３～１１６．０７     

Improved MFCC-Based Feature for Robust Speaker Identification

The Mel-frequency cepstral coefficient (MFCC) is the most widely used feature in speech and speaker recognition. However, MFCC is very sensitive to noise interference, which tends to drastically degrade the performance of recognition systems because of the mismatches between training and testing. In this paper, the logarithmic transformation in the standard MFCC analysis is replaced by a combined function to improve the noisy sensitivity. The proposed feature extraction process is also combined with speech enhancement methods, such as spectral subtraction and median-filter to further suppress the noise. Experiments show that the proposed robust MFCC-based feature significantly reduces the recognition error rate over a wide signal-to-noise ratio range.     

鼓泡式光生物制氢反应器中光合细菌的生长及产氢

提出了一种新型的鼓泡式光生物制氢反应器,并将Rhodopseudomonas palustris CQK-01光合产氢菌在光生物制氢反应器中进行序批式培养,以葡萄糖为碳源底物,以590nm单波长光为光源,研究了不同鼓泡条件下光合细菌的生长、产氢及底物降解特性.实验结果表明,在光生物制氢反应器中适当鼓入氩气气泡可以有效降低反应器内液相氢浓度,减少产物反馈抑制作用,促进产氢性能的提高,并且不同鼓泡频率对光合细菌的生长和产氢有较大影响.实验中间隔3h鼓泡时光合细菌产氢性能最佳,反应器最大产氢量33.25mmol,光能转化效率为18.46%,产氢得率为1.79mol(H2)/mol(glucose),平均底物消耗速率为0.28mmolL-1h-1和平均产氢速率为0.50mmolL-1h-1.     

Investigation on Mechanical Properties of CMSLDS/Acrylate Copolymeric Blending Films for Warp Sizing

Carboxymethyl starch with lower degree of substitution was blended with acrylate copolymer for revealing the relation between mechanical properties and chemical structure of blending film.Effects of carboxymethylation of starch,acrylate constituent units of acrylate copolymers,and copolymer content of the film on the properties were investigated.The mechanical properties were evaluated in terms of tensile strength,breaking elongation,abrasion resistance,and flex-fatigue resistance.Film morphology was examined with X-ray diffraction (XRD),scanning electron microscopy (SEM),and atomic force microscope (AFM).It was found that the properties depended on the degree of substitution of carboxymethyl starch,chemical structure of acrylate units,and content of acrylate copolymer.Phase-separation of the two ingredients occurred within film matrix and the separation was decreased after starch carboxymethylation.Breaking elongation and flex-fatigue resistance of the film reached maximums when acrylate copolymer content was 50%.Excessively increasing the content of acrylate copolymer reduced the film properties.     

pH值对猪粪废水微生物燃料电池产电性能的影响

构建了以布阴极组为空气阴极的单室微生物燃料电池,并将其应用于猪粪废水的处理与产电.重点考察了阳极液pH值对猪粪废水处理和产电性能的影响.结果表明,阳极液pH=10时MFC的产电和废水处理性能最佳,输出功率密度达到2.10W/m3,与阳极液pH=6和pH=8时的电池相比,输出功率分别提高约2.7倍和1.9倍.同时,阳极液pH=10时,COD去除率和氨氮去除率也分别达到86.7%和92.8%,比阳极液pH=6和pH=8时MFC的COD去除率提高了约13.8%和6.7%;氨氮去除率提高了约5.3%和3.5%.本研究表明,调控阳极液pH值能够有效强化猪粪废水处理和产电,为猪粪废水资源化处理提供了一条新途径.     

Improved Adaptive Compression Arbitration System for Wireless Sensor Networks

Previous studies have indicated that data compression in wireless sensor networks is not always beneficial to energy conservation due to the additional computational energy costs. This work gives an energy-efficient arbitration mechanism that enhances the performance of compression algorithms by avoiding unnecessary energy losses. The adaptive compression arbitration system uses a new prediction modeling and adaptation. Tests show that the modeling method gives better predictions with the adaptive mechanism...     

Quantitative Accuracy Assessment and Optimization of SPECT Geometrical Calibration

Accurate geometrical calibration is critical to obtaining high resolution and artifact free reconstructed images for modern animal single photon emission computed tomography(SPECT) systems.Although there have been many published works on the calibration of various SPECT systems,few studies have been done to evaluate the efficacy of the proposed calibration methods in a quantitative manner.This paper presents a numerical method to assess both the uniqueness and the quantitative accuracy of SPECT calibration,...     

Iterative Reconstruction for Transmission Tomography on GPU Using Nvidia CUDA

The iterative reconstruction algorithms for X-ray CT image reconstruction suffer from their high computational cost.Recently Nvidia releases common unified device architecture(CUDA),allowing developers to access to the processing power of Nvidia graphical processing units(GPUs),in order to perform general purpose computations.The use of the GPU,as an alternative computation platform,allows decreasing processing times,for parallel algorithms.This paper aims to demonstrate the feasibility of such an implement...