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高职院校新任数学教师需要不断提高自己教育教学能力,应该适时调整完善自己的能力结构,以适应现代高等职业教育的要求。本文从十一个方面提出提高新任数学教师教育教学能力的措施。 相似文献
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裙带菜属于褐藻门植物,营养价值高,是海洋中的经济褐藻之一。人们食用的部分多为其叶与梗,孢子叶是其繁殖器官,因含较多纤维物质,食用口感较差,在加工过程中常作为废料被丢弃,造成资源浪费。研究发现,孢子叶中含有多种生物活性物质,如多糖、多肽、褐藻多酚、岩藻黄素等,具有抗肿瘤、抗炎、抗氧化、降血脂等生理功效,是功能性食品开发的良好原料。文章绍了裙带菜孢子叶生物活性物质的功能特性及提取方法,并对其在食品中的应用进行了分析和展望,以期为裙带菜孢子叶的综合开发利用提供理论参考。 相似文献
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To achieve restoration of high frequency information for an undersampled and degraded low-resolution image, a nonlinear and real-time processing method the radial basis function (RBF) neural network based super-resolution method of restoration is proposed. The RBF network configuration and processing method is suitable for a high resolution restoration from an undersampled low-resolution image. The soft-competition learning scheme based on the k-means algorithm is used, and can achieve higher mapping approximation accuracy without increase in the network size. Experiments showed that the proposed algorithm can achieve a super-resolution restored image from an undersampled and degraded low-resolution image, and requires a shorter training time when compared with the mulfiplayer perception (MLP) network. 相似文献
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以草鱼(冰藏0、1、3、7 d)作为研究对象,探讨冰藏期间鱼肉新鲜度如pH值、挥发性盐基氮(totalvolatile base nitrogen,TVB-N)值、可溶性肌浆蛋白(soluble sarcoplasmic proteins,SSP)值、可溶性肌纤维蛋白(soluble myofibrillar proteins,SMP)值和色泽(L*、a*、b*)的变化规律,以及在巴氏杀菌条件下(80、90 ℃,10 min)蒸煮损失率、收缩面积比及色泽的变化。结果表明:草鱼冰藏过程中,TVB-N值由11.8 mg/100 g增加至16.87 mg/100 g,略低于淡水鱼上限值20 mg/100 g;pH值在前3 d由6.72降低到6.52,之后上升至6.56;SSP值无明显变化,SMP值在前3 d逐渐增加,之后轻微下降;鱼肉色泽变化值(ΔE)逐渐升高,表明鱼肉在冰藏7 d期间新鲜度逐渐下降。在热加工过程中,鱼肉逐渐变成白色,蒸煮损失率、收缩面积比和ΔE值随鱼肉冰藏时间的延长而缓慢下降。 相似文献
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阐述了对高纯气体产品质量监测的重要性并分析了影响高纯气体质量监测准确性的各种因素(掌握正确的取样技术;配备高气密性、不产生交叉污染的配气和测量装置;选择高灵敏度的监测方法;建立完善的质量保证体系)。 相似文献
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研究了亚麻胶胶囊剂的制备及崩解时限。以亚麻胶粉为原料,将亚麻胶与辅料混合,经研磨、过筛,以干法制粒灌成胶囊剂后,采用单因素试验和正交试验对亚麻胶胶囊剂崩解时限进行研究。结果表明:淀粉、滑石粉等辅料的加入,测得最佳崩解时限工艺条件为m_(亚麻胶)∶m_(淀粉)=1∶3,m_(淀粉)∶m_(滑石粉)=3∶1,研磨时间30 min,亚麻胶胶囊剂的崩解时限为119 s,达到中国药典关于胶囊剂的要求,为亚麻胶产品的利用开辟了一条科学合理、简单方便的新途径。 相似文献
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To achieve restoration of high frequency information for an underspled and degraded low-resolution image, a nonlinear and real-time processing method-the radial basis function (RBF) neural network based super-resolution method of restoration is proposed. The RBF network configuration and processing method is suitable for a high resolution restoration from an underspled low-resolution image. The soft-competition learning scheme based on the k-means algorithm is used, and can achieve higher mapping approximation accuracy without increase in the network size. Experiments showed that the proposed algorithm can achieve a super-resolution restored image from an underspled and degraded low-resolution image, and requires a shorter training time when compared with the multiplayer perception (MLP) network. 相似文献