The Nuisance Abatement Law as a Solution to New York City\u27s Problem of Illegal Sex Related Businesses in the Mid-Town Area [PDF]
O\u27Connor, Peter J.
core +1 more source
Abstract High morphological and ecological diversity displayed by European bullheads led Freyhof et al. (2005) to describe 15 nominal species. However, the basis for declaring these nominal species is contentious due to a lack of rigorous statistical analysis of morphological variations among populations, limitations in the inferences made from ...
David S. Murray +3 more
wiley +1 more source
Hybrid Cramér-Rao Bound for Quantum Bayes Point Estimation with Nuisance Parameters. [PDF]
Zhang J, Suzuki J.
europepmc +1 more source
Contestation over a Profession's Memory: The UK Pharmacy Profession, 1880–1905
Abstract We draw on the historical case of the UK pharmacy industry from 1880–1905 to examine how, in the face of a competitive threat to their survival, lower status professionals seek to reinvigorate the memory of their role in providing community service in the public interest.
Graeme Currie, Andrew Wild, Andy Lockett
wiley +1 more source
A Right to Farm in the City: Providing a Legal Framework for Legitimizing Urban Farming in American Cities [PDF]
Heckler, Susanne A.
core +1 more source
Laboratory and field assays indicate that a widespread no-see-um, Culicoides furens (Poey) is susceptible to permethrin. [PDF]
Cooper VM +3 more
europepmc +1 more source
Laboratory and semifield data indicate that vector Culicoides spp. in Florida are susceptible to permethrin. [PDF]
Cooper VM +4 more
europepmc +1 more source
Cross‐Sectional Studies: Strengths, Limitations, and Methodological Considerations
Cross‐sectional studies measure variables at a single time point to estimate prevalence and support descriptive epidemiology ‐ characterizing population health, tracking trends via repeated surveys – and for developing and validating screening instruments and diagnostic models.
Sebastian‐Edgar Baumeister +4 more
wiley +1 more source
Bridging innovation and clinical reality: Interpreting the comparative study of deep learning models for multi-class upper gastrointestinal disease segmentation. [PDF]
Yang YH.
europepmc +1 more source

