彭州市立体农业气候资源的研究(二)热量资源分析

利用彭州市境内市气象站，新兴，白果坪的日平均气温资料，进行热量资源分析。结果表明，彭州市7－8月为最热月，多年平均温度低于24．9℃，12－2月为最冷月，多年平均温度高于1．7℃。大多数年全年稳定通过0℃，可一年四季进行农业耕作，有利于作物越冬和多年生作物的种植，生长期长，积温丰富。界限温度的初，终日期及持续日数变化较大，积温际变化显著，热量资源随海拔高度增加而减少，各界限温度的初日推迟，终日提前，持续日数和积温减少，温度强度也降低，形成显著的立体农业气候。     

彭州市立体农业气候资源的研究(一)降水资源分析

分析了彭州市境内位于不同海拔高度的4个观测站的降水资料，结果表明，彭州市雨量充沛，但降水量的年际变化显著，雨季起、止时间和雨季长、短的年际变化很大，降水的时间分配极不均匀，因为这4个站具有相同的气候背景、，降水量的年、季、月变化呈现基本一致的规律和趋势，但因为海拔高度不同等气候背的差异，4站的降水特点又显著不同。降水量随海拔高度的升高而增加，降水变幅和雨日也阴海拔高度的升高而增加，大降水过程具有明显的局地性，不同海拔高度的旱、涝情况亦有差异，降水的空间分布表现出明显的立体性特征。     

测绘科技进步的研究与测算

科技进步是测绘事业发展的动力 ,讨论运用科技进步的评价指标 ,对测绘单位的科技进步速度和对经济增长的贡献等进行测算和分析 ,可以为测绘规划管理及决策提供参考。     

案例推理的地学应用背景和方法

案例推理 (CBR)研究 ,是人类认知的一种合理性模型 ,接近于人类认识、解决问题最原始的思维方式 ,具有在无法获取机理模型、确定规则或统计模型时 ,采用简单的历史相似性推理实现问题的定量求解和预测 ,成为人工智能领域近年来的研究热点。     

Study on Application of Polyenzyme Method to Offal of Harengula zunasi

The new polyenzyme method for making gravy from Harengula zunasi offal involves protein enzymolysis with flavorase after proper alkaline and neutral protease levels were established by orthogonal trials to select the best hydrolytic conditions for processing offal with alkaline and neutral protease. The conditions for the polyenzyme method were pH of 7.0, temperature of 50℃ , alkaline and neutral protease concentration of 1.5% respectively, hydrolysis time of 120 min, andflavorase concentration of 2.0% , for 60 min. The new gravy-making technology yields a nutritious and delicious gravy containing 40.3 % of total essential amino acids, with delicious amino acids Glu, Asp, Gly, Ala, Pro and Ser comprising 49.5% , total and amino nitrogen being respectively1.9 and 1.1 g/100 g (amino acid nitrogen being 61.0% of total nitrogen), The polyenzyme method was used to make 14.8% protein gravy from Harengula zunasi offal. In addition, in inorganic elements, the phosphorus content is the highest.     

Automated Separation of Stars and Normal Galaxies Based on Statistical Mixture Modeling with RBF Neural Networks

For LAMOST, the largest sky survey program in China, the solution of the problem of automatic discrimination of stars from galaxies by spectra has shown that the results of the PSF test can be significantly refined. However, the problem is made worse when the redshifts of galaxies are not available. We present a new automatic method of star/(normal) galaxy separation, which is based on Statistical Mixture Modeling with Radial Basis Function Neural Networks (SMM-RBFNN). This work is a continuation of our previous one, where active and non-active celestial objects were successfully segregated. By combining the method in this paper and the previous one, stars can now be effectively separated from galaxies and AGNs by their spectra-a major goal of LAMOST, and an indispensable step in any automatic spectrum classification system. In our work, the training set includes standard stellar spectra from Jacoby's spectrum library and simulated galaxy spectra of EO, SO, Sa, Sb types with redshift ranging from 0 to 1     

Study on application of polyenzyme method to offal of Harengula zunasi

The new polyenzyme method for making gravy fromHarengula zunasi offal involves protein enzymolysis with flavorase after proper alkaline and neutral protease levels were established by orthogonal trials to select the best hydrolytic conditions for processing offal with alkaline and neutral protease. The conditions for the polyenzyme method were pH of 7.0, temperature of 50°C, alkaline and neutral protease concentration of 1.5% respectively, hydrolysis time of 120 min, and flavorase concentration of 2.0%, for 60 min. The new gravy-making technology yields a nutritious and delicious gravy containing 40.3% of total essential amino acids, with delicious amino acids Glu, Asp, Gly, Ala, Pro and Ser comprising 49.5%, total and amino nitrogen being respectively 1.9 and 1.1 g/100 g (amino acid nitrogen being 61.0% of total nitrogen), The polyenzyme method was used to make 14.8% protein gravy fromHarengula zunasi offal. In addition, inorganic elements, the phosphorus content is the highest. This project was aided financially by the Guangdong Science and Technology Office (No. 2KM06002S).     

工厂化养殖暗纹东方鱼屯致病菌的分离和鉴定

从不同养殖场患病暗纹东方鱼屯(Takifaguobscurus)的鳃、肠、肝、肌肉及溃疡部位分离到9株菌株,经人工感染致病性试验,其T-22、T-11、J-2、H-3、H-5表现出较强的致病性,出现症状与自然发病鱼相同。通过对菌体形态特征、培养特性和API20E细菌生化快速鉴定试条的测定,分别鉴定为温和气单胞菌(Aeromonassobria)、豚鼠气单胞菌(Aeromonascaviae)、嗜水气单胞菌(Aeromonashydrophila)、类志贺邻单胞菌(Plesiomonasshigelloides)、霍乱弧菌(Vibriocholerae)。证实这5株菌为致病菌。药敏试验结果表明9种药物对温和气单胞菌、豚鼠气单胞菌、霍乱弧菌均有较好的抑菌效果;嗜水气单胞菌表现出明显的耐药性。氟嗪酸、环丙沙星、复合磺胺对类志贺邻单胞菌有一定抑菌效果。     

基于WS-Security的安全动态电子商务

Web服务方式的动态电子商务是电子商务的最终目标，安全问题是制约动态电子商务实现的主要因素。在介绍了WS-Security规范后，给出了一个建立动态电子商务的案例，分析了这个过程中可能面临的安全风险，提出了一种如何实现电子商务中重要的机密性、完整性问题的方法。     

青藏高原及邻近区域的S波三维速度结构

本文收集了WWSSN台网和我国台网中13个地震台站的长周期地震记录,用140条10-90s瑞利波频散曲线和作者提出的Tarantola-Backus面波频散层析成象方法,作了青藏高原及邻区的速度反演,得出该地区岩石层速度结构的三维图象.结果表明,1.在10-110km深度范围内,速度结构出现与大地构造特征相关的分区性,显示出四个构造单元:青藏块体、柴达木-巴颜喀拉-三江块体、塔里木块体和印度块体.2.高原内部,深度为10-70km内速度较低,莫霍界面呈不对称盆形分布,藏北那曲附近地壳厚度超过70km,高原边缘壳厚为45-50km,90-110km为高速异常,表明高原内部存在上地幔盖层.3.高原北部的班公湖断裂和东部的三江断裂系是该区重要的分界线,是岩石层结构存在明显差异的重要接触部位,可能是冈瓦纳古陆与欧亚古陆的缝合带.4.柴达木-巴颜喀拉-三江块体内部速度分布不均匀,地壳厚度由北向南从45km加深到60km;在深度90-110km存在一低速层.5.塔里木地块内速度随深度均匀增加,从地壳到上地幔110km内没有发现低速层.地壳厚度约50km.