不同栽培密度对秋大棚黄瓜生育期及产量的影响

试验以黄瓜为材料,采用随机区组设计,研究了不同栽培密度对秋大棚黄瓜生育期及产量的影响。结果表明,当栽培密度为4000株/667m2时,产量和产值都达到最高。     

2009年大豆市场行情回顾与2010年展望

2009年国际大豆市场触底反弹，美元疲软、流动性过剩是其上涨的外因。南美减产、中国需求增加是国际大豆回暖的关键因素．偏紧的供求结构让国际大豆库存面临考验。     

2009年4月全国饲料生产形势分析

1全国总体概况 4月份，国内畜禽产品消费增加，禽类产品价格有所回升，饲料产量继续增长，水产饲料增长幅度尤为明显。根据对全国29个省（自治区、直辖市）167家饲料企业的调查显示，其总产量为270．4万t，同比上涨5．1％，环比上涨12．2％（表1）。     

林木资源消耗量估测方法的初步研究

本文主要通过应用统计学的有关知识,提出适应南方集体林区木材市场开放新格局的一种估测林木资源消耗量的方法;并将这种方法在沙县进行了实地验证;分析了其可靠程度与经济意义。     

利用寄生蜂控制斑潜蝇研究进展

本文概述了世界上利用寄生蜂防治斑潜蝇的研究进展。首次简要报道了我国引进潜蝇姬小蜂的初步研究结果。     

无菌压缩空气在保鲜奶加工中的应用

本文介绍了无菌压缩空气在保鲜奶生产中的应用，并介绍了一套完整的无菌空气处理系统。     

Material in the middle ear of dogs having magnetic resonance imaging for investigation of neurologic signs

The aim of this study was to determine the prevalence and potential significance of finding material in the middle ear of dogs having magnetic resonance (MR) imaging. Of 466 MR studies reviewed, an increased signal was identified in the tympanic bulla in 32 (7%) dogs. Cavalier King Charles spaniels, Cocker spaniels, Bulldogs, and Boxers were over-represented compared to the population of dogs having MR imaging. Five (16%) dogs had definite otitis media and one (3%) had a meningioma invading the middle ear. Of the remaining dogs, 13 (41%) had possible otitis media and 13 (41%) had neurologic conditions apparently unrelated to otitis media. The most common appearance of material in the middle ear was isointense in T1-weighted images and hyperintense in T2-weighted images. There was no apparent correlation between the signal characteristics of the material and the diagnosis. Enhanced signal after gadolinium administration was observed affecting the lining of the bulla in dogs with otitis media and in dogs with unrelated neurologic conditions. In dogs without clinical signs of otitis media, finding an increased signal in the middle ear during MR imaging may reflect subclinical otitis media or fluid accumulation unrelated to inflammation. Brachycephalic dogs may be predisposed to this condition.     

粮仓智能通风控制系统

综合了当今先进的仓储管理技术、电子技术、计算机网络技术、人工智能,通讯技术及防腐防雷技术为一体,设计一套粮仓智能通风控制系统,以实现在外部条件适宜的情况下对粮仓进行通风,达到除热、调湿等目的,进而有效控制粮仓的储粮环境,从而达到安全储粮的目的.     

BP神经网络在储粮害虫分类中的应用研究

综合利用计算机视觉技术和BP神经网络技术,实现对粮仓害虫的无损检测.通过对粮仓害虫图像的CCD图像预处理,获取了几何特征和不变矩等15个特征参数,并通过优化选取其中七个参数输入神经网络进行训练.仿真结果表明训练网络对粮仓四类常见害虫的识别率达到了85%,得到了较好的识别结果.