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Full-Text Articles in Medicine and Health Sciences
Local Tobacco Control: Application Of The Essential Public Health Services Model In A County Health Department’S Efforts To Put It Out Rockland, Lisa D. Lieberman, Una Diffley, Sandy King, Shelley Chanler, Maryanne Ferrera, Oscar Alleyne, Joan Facelle
Local Tobacco Control: Application Of The Essential Public Health Services Model In A County Health Department’S Efforts To Put It Out Rockland, Lisa D. Lieberman, Una Diffley, Sandy King, Shelley Chanler, Maryanne Ferrera, Oscar Alleyne, Joan Facelle
Department of Public Health Scholarship and Creative Works
In 2000, Rockland County, a small suburban county north of New York City, dedicated $1 million of its Master Settlement Agreement funds to a comprehensive tobacco control program, Put It Out Rockland. Developed and implemented by the county health department, this program used an essential public health services model and an ongoing financial investment, within the context of strong statewide tobacco control efforts, to lower adult smoking rates to 9.7% and to reduce both smoking among youths and exposure to secondhand smoke over the ensuing decade. By combining state funds and local dollars for a total of $6.75 cost per …
A Multivariate Method To Determine The Dimensionality Of Neural Representation From Population Activity., Jörn Diedrichsen, Tobias Wiestler, Naveed Ejaz
A Multivariate Method To Determine The Dimensionality Of Neural Representation From Population Activity., Jörn Diedrichsen, Tobias Wiestler, Naveed Ejaz
Brain and Mind Institute Researchers' Publications
How do populations of neurons represent a variable of interest? The notion of feature spaces is a useful concept to approach this question: According to this model, the activation patterns across a neuronal population are composed of different pattern components. The strength of each of these components varies with one latent feature, which together are the dimensions along which the population represents the variable. Here we propose a new method to determine the number of feature dimensions that best describes the activation patterns. The method is based on Gaussian linear classifiers that use only the first d most important pattern …