雷公藤提取农药用总生物碱工艺的优化(简报)

为杀虫活性物质雷公藤生物碱的产业化开发利用奠定基础,以雷公藤根皮中总生物碱提取率为评价指标,综合考察pH值、提取时间、乙醇浓度、固液比和提取次数5个关键因素的影响,以L16(45)正交试验设计优选了雷公藤总生物碱的提取工艺条件,并利用人工神经网络进行仿真、评估和优化,最终获得了雷公藤根皮中总生物碱的提取优化工艺:根皮粉细度30目,pH2.5,固液比1︰10,乙醇浓度65%,提取时间2h,提取2次。该优化工艺条件不仅可减少成本,降低能耗,而且使雷公藤总生物碱提取率略有提高,在实际生产中具有较好的应用价值。     

Estimating the level of disease risk and biosecurity on commercial poultry farms in New Zealand

ABSTRACT

Aims: To collect baseline data on the contact risk pathways and biosecurity practices of commercial poultry farms in New Zealand, investigate the relationship between the farm-level disease contact risks and biosecurity practices, and identify important poultry health concerns of producers.

Methods: A cross-sectional survey of all registered New Zealand commercial poultry operations was conducted in 2016 collecting information on farm demographics, biosecurity practices, and contact risk pathways. Survey responses were used to generate an unweighted subjective disease risk score based on eight risk criteria and a subjective biosecurity score based on the frequency with which producers reported implementing seven biosecurity measures. Producer opinions towards poultry health issues were also determined.

Results: Responses to the survey response were obtained from 120/414 (29.0%) producers, including 57/157 (36.3%) broiler, 33/169 (19.5%) layer, 24/55 (44%) breeder, and 6/32 (19%) other poultry production types. Median disease risk scores differed between production types (p?<?0.001) and were lowest for breeder enterprises. The greatest risk for layer and broiler enterprises was from the potential movement of employees between sheds, and for breeder enterprises was the on- and off-farm movement of goods and services. Median biosecurity scores also differed between production types (p?<?0.001), and were highest for breeder and broiler enterprises. Across all sectors there was no statistical correlation between biosecurity scores and disease risk scores. Producers showed a high level of concern over effectively managing biosecurity measures.

Conclusions: The uptake of biosecurity measures in the commercial poultry farms surveyed was highly variable, with some having very low scores despite significant potential disease contact risks. This may be related to the low prevalence or absence of many important infectious poultry diseases in New Zealand leading farmers to believe there is a limited need to maintain good biosecurity as well as farmer uncertainty around the efficacy of different biosecurity measures. Further research is needed to understand barriers towards biosecurity adoption including evaluating the cost-effectiveness of biosecurity interventions.     

基于农民社会关系网络的农村公共空间建设——以D社区修路为例

以湖南中部丘陵地带小盆地里的D社区村民自主修路事件为例,发现该社区公共事务的主导格局在很长一段时间里没有显著变化,不同历史时期村民参与公共事务的水平不同。认为在村民大量外出务工经商的背景下,由于利益博弈和朴素乡土观念的作用,村民能够成功整合政府、市场和农民三方资源。最后提出,政府在营造良好农村人居环境中应给予制度性保证。     

Artificial neural network modeling of microbial community structures in the Atlantic Forest of Brazil

Microbial communities vary across the landscape in forest soils, but prediction of their biomass and composition is a difficult challenge due to the large numbers of variables that influence their community structures. Here we examine the use of artificial neural network (ANN) models for extraction of patterns among soil chemical variables and microbial community structures in forest soils from three regions of the Atlantic Forest of Brazil. At each location, variations in soil chemical properties and FAME profiles of microbial community structures were mapped at 20 × 20 m intervals within 10 ha parcels. Geostatistical analyses showed that spatial variability in soil physical and chemical variables could be mapped at scale distances of 20 m, but that FAME profiles representing the microbial communities were highly variable and had no spatial dependence at the same scale in most cases. RDA analysis showed that FAME signatures representing different microbial groups were positively associated with soil pH, OM, P and base cations concentrations, whereas microbial biomass was negatively associated with the same environmental factors. In contrast, ANN models revealed clear relationships between microbial community structures at each parcel location, and generated verifiable predictions of variations in FAME profiles in relation to soil pH, texture, and the relative abundances of base cations. The results suggest that ANN modeling provides a useful approach for describing the relationships between microbial community structures and soil properties in tropical forest soils that were not able to be captured using geostatistical and RDA analyses.     

Polyneuropathy associated with forage sources in Norwegian horses

BACKGROUND: Cases of hindlimb digital extensor weakness of unknown etiology have been observed in Norway since 1995. HYPOTHESIS: We hypothesized that the observed bilateral extensor weakness was attributable to neuropathy of the distal nerves and that this was related to environmental factors, possibly dietary. ANIMALS: Seventy-five horses with digital extensor weakness occurring from 1995 to 2004 are described. METHODS: Eleven horses were examined at The Norwegian School of Veterinary Science, and the medical records of 64 horses seen in ambulatory practice were reviewed. RESULTS: There was no apparent sex, age, or breed predilection, but the majority were horses kept for pleasure or breeding purposes. Clinical signs varied from intermittent knuckling of the hindlimbs to paraplegia. Some horses showed no or only slow progression of signs, whereas others developed severe signs within hours. No other neurologic deficits were detected in any of the horses. Epidemiologic data and laboratory results were not supportive of an infectious etiology. The only common factor for all affected horses seemed to be feeding big bale silage or, occasionally, hay of poor microbiologic quality. Forty of the 75 horses were euthanized. Histopathologic examination of peripheral nervous tissue was performed in 22 horses, all of which had neuronal fiber degeneration. The majority of horses with mild signs recovered after 5-6 months of rest. CONCLUSIONS AND CLINICAL IMPORTANCE: Clinical signs correlated with polyneuropathy involving sciatic nerves.     

Improved BP Algorithm in Vibration Failure Diagosis of Steam Turbine-Generator Set

A failure diagnosis model of neural networks for the vibration failure feature of steam turbine-generator set is established on the basis of the improved BP algorithm ,and used for diagnosing practical generator set,the results of verification show that the method is effective.     

The Management Techniques of Distance Education and Its Implementation

The education modes and contents involved in the management of distance education are first analyzed in the paper, and the preliminary implementation based on CERNET and Internet is followed. The techniques of WWW servers efficient access to database and system security are presented in addition.     

可视化智能机械故障诊断系统的研究

运用模糊神经网络推理技术,结合传统的振动信号谱分析方法,设计了可视化智能机械故障诊断系统软件。采用面向对象技术,在Ｗｉｎｄｏｗｓ环境下使用面向对象的编程语言Ｂｏｒｌａｎｄ Ｃ＋＋４．５开发了系统软件。具体介绍了该系统的组成,功能衣特点,给出了齿轮箱诊断实例。     

Tackling degradation of a seminatural landscape: options and evaluations

Degradation of a seminatural pond landscape in North West England has been occurring for at least 150 years. The remaining resource of 35 000 ponds is being reduced by natural succession, but is also being anthropogenically modified, by land development, neglect and from poorly considered management regimes. This paper defines degradation for the individual pond and for the pond landscape. Implications of degradation are drawn. Four existing approaches developed to combat degradation (including legal strictures, planning rules and voluntary conservation schemes) are evaluated with reference to both ecological and socio‐economic principles. Finally, a new planning philosophy and structure in the United Kingdom is assessed for its ability to combat degradation; particular emphasis is placed upon an ecological networks approach which offers new hope for conservation of both pond habitats and for their distinctive fauna and flora. Copyright © 2003 John Wiley & Sons, Ltd.     

基于人工神经网络的联合收割机变速箱计算机辅助设计

针对自走式联合收割机变速箱优化设计中存在计算量大、图表多等问题,提出了一种新的神经网络学习算法,相对于其他学习算法,该算法侧重于网络参数的调整,通过对样本集的模糊推理、调整和分类学习来实现自适应的神经网络学习。通过BP网络的学习和训练,采用单输入双输出的1-8-2结构、1-6-2结构、1-4-2结构进行训练,从实际的应用效果来看,选择1-6-2的ＢＰ网络结构作为最终的神经网络形式,网络的识别精度是非常高的。结果表明,该算法能运用神经网络对联合收割机变速箱进行了设计研究,建立数学描述形式,分析了通过神经网络来实现变速箱设计模型构建的方法。研究表明,应用神经网络构建的模型能够减少系统的分析次数,并能够很大程度的提高模型的精度,满足计算要求,最终在设计空间内寻找出较好的设计方案。