54 research outputs found
MONITORING THE SALE AND TRAFFICKING OF INVASIVE VERTEBRATE SPECIES USING AUTOMATED INTERNET SEARCH AND SURVEILLANCE TOOLS
The internet is often an unregulated pathway that can lead to the introduction of invasive species. Surveillance of internet-related sale or trade activities can reduce the movement of potentially invasive species and serve to lessen the risk of an introduction. The Invasive Species Internet Monitoring System automates the process of searching the internet for suspect sites (e.g., internet storefronts, chat rooms, etc.) involved in the sale or trade of targeted species. Additionally, this software system incorporates data management features that permit the archiving of suspect website content, assists subject matter experts in evaluating sites for risk, send informational emails to website owners and can track sites for compliance. This software system is currently being used by United States Department of Agriculture, Animal and Plant Health Inspection Service, Plant Protection and Quarantine and the Smuggling, Interdiction and Trade Compliance Program to search for websites selling regulated insects, weeds, mollusks, fruits and vegetables, and for animals and animal products that have the potential to carry Highly Pathogenic Avian Influenza
AN INFORMATION SYSTEM TO SUPPORT PEST SURVEILLANCE AND DETECTION IN THE CARIBBEAN REGION
The Doubt-removing book of Mardānfarrox (شکند گمانیک ویچار یا گزارش گمانشکن )
he name of he author of treatise Mardānfarrox son of Ohrmazddād He make him know suiter or and researcher of truth who does not like to follow a religion by inheritance, but he seeks that which is more reliable and acceptable before the philosophy and logic
Prioritizing the risk of plant pests by clustering methods : self-organising maps, k-means and hierarchical clustering
For greater preparedness, pest risk assessors are required to prioritise long lists of pest species with potential to establish and cause significant impact in an endangered area. Such prioritization is often qualitative, subjective, and sometimes biased, relying mostly on expert and stakeholder consultation. In recent years, cluster based analyses have been used to investigate regional pest species assemblages or pest profiles to indicate the risk of new organism establishment. Such an approach is based on the premise that the cooccurrence of well-known global invasive pest species in a region is not random, and that the pest species profile or assemblage integrates complex functional relationships that are difficult to tease apart. In other words, the assemblage can help identify and prioritise species that pose a threat in a target region. A computational intelligence method called a Kohonen self-organizing map (SOM), a type of artificial neural network, was the first clustering method applied to analyse assemblages of invasive pests. The SOM is a well known dimension reduction and visualization method especially useful for high dimensional data that more conventional clustering methods may not analyse suitably. Like all clustering algorithms, the SOM can give details of clusters that identify regions with similar pest assemblages, possible donor and recipient regions. More important, however SOM connection weights that result from the analysis can be used to rank the strength of association of each species within each regional assemblage. Species with high weights that are not already established in the target region are identified as high risk. However, the SOM analysis is only the first step in a process to assess risk to be used alongside or incorporated within other measures. Here we illustrate the application of SOM analyses in a range of contexts in invasive species risk assessment, and discuss other clustering methods such as k-means, hierarchical clustering and the incorporation of the SOM analysis into criteria based approaches to assess pest risk
The Doubt-removing book of Mardānfarrox (شکند گمانیک ویچار یا گزارش گمانشکن )
he name of he author of treatise Mardānfarrox son of Ohrmazddād He make him know suiter or and researcher of truth who does not like to follow a religion by inheritance, but he seeks that which is more reliable and acceptable before the philosophy and logic
Hygroscopic Tendencies of Substances Used as Calibrants for Quantitative Nuclear Magnetic Resonance Spectroscopy
Atmospheric
moisture can contaminate calibrants for quantitative
nuclear magnetic resonance (qNMR) spectroscopy and cause systematic
errors in qNMR measurements. Therefore, coulometric Karl Fischer (CKF)
titration was used to evaluate the hygroscopic tendencies of several
organic compounds that are commonly used as calibrants for qNMR spectroscopy:
benzoic acid, dimethyl sulfone, 1,3,5-trimethoxybenzene, acetanilide,
dimethyl terephthalate, and 1,2,4,5-tetramethylbenzene. Samples were
placed in a sealed humidity chamber at 100% relative humidity (RH)
and a temperature of 295.4 ± 0.9 K. Over the course of months,
portions of each sample were analyzed by CKF titration. All the compounds
except dimethyl sulfone were resistant to changes in water content
and thus are good choices for qNMR experiments. In contrast, dimethyl
sulfone absorbed about 25 mass % of water over 5 weeks at 100% RH;
such behavior could compromise qNMR experiments under certain conditions
Inflation induced redistributions via monetary assets in five European countries: 1974-1982. Economic Papers No. 41, September 1985
Evolutionary tools for phytosanitary risk analysis: phylogenetic signal as a predictor of host range of plant pests and pathogens
Personal financial literacy of students in the Colfax School District
Includes bibliographical references
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