Showing 1 - 5 results of 5 for search '"ASPCA"', query time: 0.06s Refine Results
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    Animal Cruelty in New York City: Cruelty Cases Presented to the ASPCA in Partnership with the NYPD 2013–2022 by Shiny Caldwell, Emily Patterson-Kane, Elizabeth Brandler, Maya Gupta, Randall Lockwood

    Published 2025-02-01
    “…Between September 2013 and 2022, the American Society for the Prevention of Cruelty to Animals (ASPCA) received 2783 suspected animal cruelty cases involving 5745 animals through a partnership with the New York City Police Department (NYPD). …”
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    Article
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    Life with pets study: lower income veterinary clients' perception of pets' quality of life by Elizabeth B. Strand, Kristel Scoresby, Hannah Walker, Ana Hernandez, Veronica Accornero, Lori Messinger, Pamela Linden, Chesney Ward, Matthew P. Knight, Haley Engelman, Kristin Moore, Margaret Ruth Slater

    Published 2024-07-01
    “…Using a qualitative approach, 50 New York City based American Society for the Prevention of Cruelty to Animals (ASPCA) veterinary clients completed semi-structured interviews as well as a survey about their perception of life with their pets. …”
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    Effects of Socialization on Problem Solving in Domestic Cats by Preston Foerder, Mary C. Howard

    Published 2024-09-01
    “…Socialization towards humans was measured with the Feline Behavior Assessment based on the ASPCA’s Feline Spectrum Assessment. This modified measure requires assessors to observe an individual cat’s behavior during three steps: observation test, door test, and the stroke and push test. …”
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    Rational Polynomial Coefficient Estimation via Adaptive Sparse PCA-Based Method by Tianyu Yan, Yingqian Wang, Pu Wang

    Published 2024-08-01
    “…To address this problem, in this paper, we propose an Adaptive Sparse Principal Component Analysis-based RFM method (ASPCA-RFM) for RPC estimation. In this method, the Elastic Net sparsity constraint is introduced to ensure that each PC contains only a small number of original variables, which automatically eliminates unnecessary variables during PC computation. …”
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    Article