Suffolk University

About: Suffolk University is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Sugar beet. The organization has 6462 authors who have published 9321 publications receiving 235328 citations.

Electromechanical resistance exercise apparatus

Abstract: A strength and exercise apparatus that provides an opposing resistive force which in its total will always only equal the potential and varying exerted force created by the user. The apparatus will also have the ability to create an exerted force which in its total will always only equal the potential and varying resistive force provided by the user.

The influence of the freshwater environment and the biological characteristics of Atlantic salmon smolts on their subsequent marine survival

Abstract: Ian C. Russell1*, Miran W. Aprahamian2, Jon Barry1, Ian C. Davidson3, Peder Fiske4, Anton T. Ibbotson5, Richard J. Kennedy6, Julian C. Maclean7, Andrew Moore1, Jaime Otero8, Ted (E. C. E.) Potter1, and Christopher D. Todd9 Cefas, Pakefield Road, Lowestoft, Suffolk NR33 0HT, UK Environment Agency, Richard Fairclough House, Knutsford Road, Warrington WA4 1HG, UK Environment Agency, Chester Road, Buckley, Flintshire CH7 3AJ, UK Norwegian Institute for Nature Research, PO Box 5685, Sluppen, Trondheim 7485, Norway Game and Wildlife Conservation Trust, Salmon and Trout Research Centre, The River Laboratory, East Stoke, Wareham, Dorset BH20 6BB, UK River Bush Salmon Station, 21 Church Street, Bushmills, Co Antrim BT57 8QJ, UK Marine Scotland Science, Freshwater Laboratory, Field Station, Inchbraoch House, South Quay, Ferryden, Montrose, Angus DD10 9SL, UK Centre for Ecological and Evolutionary Synthesis (CEES), University of Oslo, PO Box 1066, Oslo N-0316, Norway Scottish Oceans Institute, University of St Andrews, St Andrews, Fife KY16 8LB, UK *Corresponding Author: tel: +44 1502 524330; fax: +44 1502 513865; e-mail: ian.russell@cefas.co.uk.

Predictive Mapping of Human Risk for West Nile Virus (WNV) Based on Environmental and Socioeconomic Factors

Abstract: A West Nile virus (WNV) human risk map was developed for Suffolk County, New York utilizing a case-control approach to explore the association between the risk of vector-borne WNV and habitat, landscape, virus activity, and socioeconomic variables derived from publically available datasets. Results of logistic regression modeling for the time period between 2000 and 2004 revealed that higher proportion of population with college education, increased habitat fragmentation, and proximity to WNV positive mosquito pools were strongly associated with WNV human risk. Similar to previous investigations from north-central US, this study identified middle class suburban neighborhoods as the areas with the highest WNV human risk. These results contrast with similar studies from the southern and western US, where the highest WNV risk was associated with low income areas. This discrepancy may be due to regional differences in vector ecology, urban environment, or human behavior. Geographic Information Systems (GIS) analytical tools were used to integrate the risk factors in the 2000–2004 logistic regression model generating WNV human risk map. In 2005–2010, 41 out of 46 (89%) of WNV human cases occurred either inside of (30 cases) or in close proximity (11 cases) to the WNV high risk areas predicted by the 2000–2004 model. The novel approach employed by this study may be implemented by other municipal, local, or state public health agencies to improve geographic risk estimates for vector-borne diseases based on a small number of acute human cases.