用人工神经网络预测混杂复合材料混杂效应

本研究建立一个二输入单输出的BP人工神经网络模型，并用QBASIC语言编制了相应的软件。利用该神经网络模型对混杂效应与混杂比及分散度系数间关系进行了预测。研究结果表明，网络经过61223次的迭代，预潮值误差为0．12％，具有很高的预测精度，可用于混杂复合材料混杂效应的预测。     

甲苯二异氰酸酯（TDI）的市场开拓

甲苯二异氰酸酯(TDI)是合成聚氨酯高聚物的主要原料之一,本文简要地论述了该产品的国内外发展与现状,从当前国内市场出发,认为开发面广,量大和价廉的新制品是我国TDI市场的开拓方向和当务之急,并提出了5项具体的开发项目,以有助于该产品的迅速发展。     

新形势下做好长江流域水土保持监测工作的思考

基于长江流域水土保持的监测调研工作,结合我国当前社会、经济发展新形势的总体要求,针对开展好流域水土保持监测工作这一课题,从完善水土流失动态监测工作、构建应急监测体系、强化机构职能定位、推进先进技术和设施设备应用、优化流域网络体系顶层设计、探究水土流失监测综合性指标设置等方面开展了一些有益的探索,以利于更好地开展新形势下的水土保持监测工作。     

Pozzolanic properties of reject fly ash in blended cement pastes

Low-grade fly ash (reject fly ash, r-FA), a significant portion of the pulverized fuel ash (PFA) produced from coal-fired power plants and rejected from the ash classifying process, has remained unused due to its high carbon content and large particle size. But it may be used in certain areas, such as in solidification and stabilization processes of hazardous waste and materials for road base or subbase construction, which require relatively lower strength and reactivity. It is therefore necessary to extend research on the properties of r-FA and explore its possible applications. This paper presents experimental results of a study on the mechanical and hydration properties of cementitious materials prepared by blending r-FA with ordinary Portland cement (OPC). Parallel mixes were also prepared with the good ash [i.e., classified fine fly ash (f-FA)] for comparison. Selective chemical activators were added to the mix to study the effects of the activators on the properties of the blend system. The results show that r-FA generally has a lower rate of hydration than f-FA particularly at the early stage of hydration. Adding Ca(OH)₂ alone almost had no effect on accelerating the hydration of r-FA. But adding a small quantity of Na₂SO₄ or K₂SO₄ together with Ca(OH)₂ significantly accelerated the hydration reaction. The results of the compressive strength measurement correlated nicely with the degree of hydration results. It was also found that water-to-binder ratio (w/b) was an important factor in affecting the strength development and the hydration degree of r-FA pastes.     

固定化生物活性炭纤维处理餐饮污水

采用固定化生物活性炭纤维技术处理餐饮污水,在原水COD、油的平均质量浓度分别为961、254 mg/L时,经过砂滤、曝气、生物活性炭纤维柱后,COD去除率为84%,油的去除率为91%。试验结果表明:固定化生物活性炭纤维技术对餐饮废水有较好的处理效果,出水水质稳定,可达标排放。     

重组人干扰素α2b栓剂的检定及其临床疗效

目的对重组人干扰素α2b栓剂进行质量检定及临床疗效观察。方法连续试制3批样品,进行各项质控指标的检定及宫颈糜烂的临床疗效观察。结果本品各项检定指标均符合质量要求。治疗组宫颈糜烂的有效率为74·8%,对照组的有效率为60·0%。治疗组和对照组的副反应发生率分别为9·1%和8·3%。结论重组人干扰素α2b栓剂质量稳定,安全性好,疗效确切。     

辐照法制全硫化聚丙烯/丙烯酸酯热塑性弹性体

用辐照法制备了全硫化聚丙烯，丙烯酸酯热塑性弹性体．对其物理机械性能、耐热油性进行了测试。结果表明，所制备的热塑性弹性体的性能优于动态硫化法。橡胶质量分数为30％、40％时，拉伸强度分别达到10．9MPa、13．6MPa，断裂伸长率分别为132％、157％；在10HD℃的油中浸泡70h。体积变化率只有28％。采用透射电子显微镜和扫描电子显微镜研究了所制备弹性体的微观形态，弹性体中橡胶粒子小、分散均匀；辐照后橡胶粒子与聚丙烯界面之间的作用力得到加强。     

A general non-local denoising model using multi-kernel-induced measures

Noises are inevitably introduced in digital image acquisition processes, and thus image denoising is still a hot research problem. Different from local methods operating on local regions of images, the non-local methods utilize non-local information (even the whole image) to accomplish image denoising. Due to their superior performance, the non-local methods have recently drawn more and more attention in the image denoising community. However, these methods generally do not work well in handling complicated noises with different levels and types. Inspired by the fact in machine learning field that multi-kernel methods are more robust and effective in tackling complex problems than single-kernel ones, we establish a general non-local denoising model based on multi-kernel-induced measures (GNLMKIM for short), which provides us a platform to analyze some existing and design new filters. With the help of GNLMKIM, we reinterpret two well-known non-local filters in the united view and extend them to their novel multi-kernel counterparts. The comprehensive experiments indicate that these novel filters achieve encouraging denoising results in both visual effect and PSNR index.     

Dynamics stability in wireless sensor networks active defense model

Wireless sensor networks, which are widely used in military, industrial and transportation fields, are vulnerable to various kinds of attacks, since they are mostly deployed in a relatively open environment. Based on the evolutionary game theory, this paper proposes a proactive defense model for wireless sensor networks, in which we emphasize that the node has a limited ability to learn the evolution of rationality from different attack strategies of the attacker, and can dynamically adjust their strategies to achieve the most effective defense. Following this approach, the cost (e.g., energy consumption and wastage of machinery) has been greatly saved and the life cycle of the nodes has been extended as well. By employing the proposed model, the whole wireless sensor network can be implemented in an effective way.     

甲缩醛氧化制甲醛固定床单管试验

在固定床单管反应器内进行了甲缩醛氧化制甲醛的试验研究，在接近工业规模反应操作条件下，获得了８８％左右的甲醛收率。为确定工业化流程、工艺操作条件、建立数学模型和进行放大设计提供了依据。