再生蚕丝丝素蛋白纳米颗粒的制备及抗茵性

采用一种高效简便新工艺,用特定的溶剂将家蚕丝素蛋白溶解,透析浓缩后用α-糜蛋白酶酶解,制备了蚕丝丝素蛋白纳米级颗粒,进行了4种不同溶剂溶解的筛选性实验.结果表明:采用LiBr/CH3OH/H2O溶剂溶解,透析浓缩后用α-糜蛋白酶酶解的整体工艺效果最优.对生成的纳米粒子尺寸用扫描电镜、场发射扫描电镜进行表征,观察到4种混合溶剂溶解得到的丝素蛋白肽颗粒大小在20～50 μm之间;再用α-糜蛋白酶酶解后,丝素蛋白肽颗粒的大小降解为80～300 nm.测定了丝蛋白肽粉末的抗菌性,其纳米级颗粒比微米级颗粒具有更优异的抗菌效果.     

亚胺改性环氧树脂胶黏剂的研究

采用端羧基亚胺中间体对环氧树脂进行改性,用芳香胺做固化剂,制备了亚胺改性环氧树脂胶黏剂.研究了端羧基亚胺中间体的种类及用量、固化剂种类及用量、固化条件等因素对胶黏剂性能的影响.结果表明,采用分子中含有砜基的亚胺中间体对环氧进行改性、用DDS做固化剂制得的胶黏剂的性能最好.亚胺中间体用量为60phr～70phr、固化剂用量控制在固化剂活泼-H/环氧基为0.6～0.7时,胶黏剂的综合性能较好.适合该胶黏剂的固化条件为200℃/2h 220℃/4h.     

常规采样与过采样点目标检测性能比较分析

对于红外扫描有效载荷等光电探测系统,瞬时视场的减小(提高分辨率)对抑制背景杂波、提高检测概率和降低虚警率具有重要意义。过采样技术一直是提高仪器成像分辨率时的研究热点。针对点目标探测系统,对常规采样和过采样两种采样体制进行了对比分析。结果表明,在响应的标准差、平均响应和超出率方面,过采样系统具有明显优势。     

壳聚糖复合涂膜对红富士苹果采后生理相关酶活性的影响

从以壳聚糖为成膜剂的多个涂膜剂处理中,通过正交试验,确定在红富士苹果保鲜上的最佳处理,并选择较好的处理为对象,研究对红富士苹果采后生理相关酶活性的影响。结果显示:适宜的壳聚糖复合涂膜提高红富士苹果超氧化物歧化酶、过氧化物酶、过氧化氢酶活性,增强了细胞防御系统抵御逆境的能力,抑制多聚半乳糖醛酸酶活性,延缓果实软化,降低脂氧合酶活性和丙二醛含量,延缓细胞膜透性的增加;诱导苯丙氨酸解氨酶活性的提高,促进植物保卫素和木质素的合成,增强果实的抗病能力。试验表明,涂膜处理能够有效地保持果实贮藏品质,具有良好的保鲜效果。     

烟末蛋白酶解工艺优化的研究

筛选出了适合烟末蛋白酶解的蛋白酶复配组合Acalase2.4L与Flavorzyme500MG。通过单因素实验及响应面分析法得到最佳酶解条件为:总加酶量10.9‰(以烟末质量计,w/w),酶解时间8h,酶解温度49℃。该条件下实际测得氨基酸态氮得率为2.270‰,蛋白质回收率为31.88%。     

一株黄曲霉拮抗细菌F1的筛选、鉴定及其抑菌特性

为获得能有效抑制食品原料中黄曲霉生长的生防细菌,本研究以乳酸菌发酵制品和香辛料为筛菌出发样品,通过菌株分离、初筛和复筛,从黑胡椒中筛选到一株对黄曲霉有强烈抑制作用的菌株F1。依据菌株的形态特征、培养特征、生理生化特征结合16S rDNA基因序列分析、系统发育树构建来鉴定菌株,最终确定菌株F1为解淀粉芽孢杆菌Bacillus amyloliquefaciens(保藏编号:CGMCC No.10942),与已商品化的生防菌Bacillus amyloliquefaciens FZB42的亲缘关系最为接近。菌株F1的发酵上清液经过超滤处理以及蛋白酶酶解试验和稳定性试验,结果显示,菌株F1的抑菌成分为分子量30 ku~100 ku的蛋白类物质;在100℃处理30 min后仍能保持87.43%的抑菌活性;在pH值3.0~10.0范围内其相对抗菌活性均在70%以上。研究表明,从黑胡椒中分离到的解淀粉芽孢杆菌F1能够通过代谢产生稳定性较强的抗菌蛋白而达到拮抗黄曲霉的目的,在食品领域具有一定的应用前景。     

生物负载微孔渗水型混凝土对土壤中残留毒死蜱的去除试验

为了解决农村农药面源污染问题,利用小流量渗透法将毒死蜱降解菌负载在微孔渗水型混凝土上,研究不同降雨强度下不同孔隙率混凝土对毒死蜱的降解截留效果.结果表明:对于3种不同透水系数的微孔混凝土,微孔渗水型混凝土负载生物量和生物活性随孔隙率增大呈先升高后降低趋势;对于两种不同的降雨强度,毒死蜱降解率最优的都是孔隙率为48.1％...     

静叶尾迹流引起的气流激振力计算方法与激振力特性研究

在研究汽轮机叶片气流激振力的来源与性质的基础上,建立了静叶尾迹流产生的气流激振力计算模型,开发出了基于Matlab的气流激振力计算与分析软件,以探讨叶片气流激振力特性随叶栅结构参数的变化关系。对国产300MW汽轮机某级叶片的气流激振力进行了计算与分析,结果表明:叶栅的结构参数δ、z、B1、b1、t1对气流激振力特性有较大的影响。在汽轮机设计过程中,合理地选择上述结构参数,可以有效地控制气流激振力。     

Improving Knowledge Graph Completion Using Soft Rules and Adversarial Learning

Knowledge graph is a useful resources and tools for describing entities and relationships in natural language processing tasks.However,the existing knowledge graph are incomplete.Therefore,knowledge graph completion technology has become a research hotspot in the field of artificial intelligence,but the traditional knowledge graph embedding method does not fully take into account the role of logic rules and the effect of false negative samples on knowledge embedding.Based on the logic rules of knowledge and the role of adversarial learning in knowledge embedding,we proposes a model to improve the completion of knowledge graph:soft Rules and graph adversarial learning (RUGA).Firstly,the traditional knowledge graph embedding model is trained as generator and discriminator by using adversarial learning method,and high-quality negative samples are obtained.Then these negative samples and the existing positive samples together constitute the label triple in the injection rule model.The whole model will benefit from both high-quality samples and logical rules.In addition,we evaluated the performance of link prediction task and triple classification task on Freebase and Yago datasets respectively.Finally,the experimental results show that the model can effectively improve the effect of knowledge graph completion.     

Silicon Pick-up of Interstitial-Free Steel From MgO-SiC Refractories

The silicon pick-up of interstitial-free steel （IF steel） from resin bonded MgO-SiC refractories is studied via a medium frequency induction furnace. Samples of IF steel were heated in MgO-SiC crucibles with mould flux cover at 1 600 ℃ for 180 min. The silicon contents of IF steel samples taken from the molten steel in every 30 min were examined and the refractories after heating were investigated by electron probe microanalysis （EPMA） with energy dispersive spectrometer （EDS）. The silicon content of steel rapidly increased in the first 90 min of beating, and then decreased because of the formation of liquid layer on the refractory. Liquid layer separated the liquid steel from the bulk refractory and stopped the pick-up of silicon. At the same time, desilication via oxygen through the liquid layer and flux started to reduce the silicon content of the liquid steel