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  2. Adaptation model of nursing - Wikipedia

    en.wikipedia.org/wiki/Adaptation_model_of_nursing

    The model had its inception in 1964 when Roy was a graduate student. She was challenged by nursing faculty member Dorothy E. Johnson to develop a conceptual model for nursing practice. Roy's model drew heavily on the work of Harry Helson, a physiologic psychologist. [3]

  3. Excitation-transfer theory - Wikipedia

    en.wikipedia.org/wiki/Excitation-transfer_theory

    Dolf Zillmann began developing excitation-transfer theory in the late 1960s through the early 1970s and continued to refine it into the 21st century. [1] The theory itself is based largely on Clark Hull's notion of residual excitation (i.e., drive theory), Stanley Schachter's two factor theory of emotion, and the application of the three-factor theory of emotions.

  4. Richard Titmuss - Wikipedia

    en.wikipedia.org/wiki/Richard_Titmuss

    Richard Morris Titmuss CBE FBA (16 October 1907 – 6 April 1973) was a British social researcher and teacher. He founded the academic discipline of social administration (now largely known in universities as social policy) and held the founding chair in the subject at the London School of Economics.

  5. Personal practice model (social work) - Wikipedia

    en.wikipedia.org/wiki/Personal_practice_model...

    A Personal practice model (PPM) is a social work tool for understanding and linking theories to each other and to the practical tasks of social work. Mullen [ 1 ] describes the PPM as “the art and science of social work”, or more prosaically, “an explicit conceptual scheme that expresses a worker's view of practice”.

  6. Integrated social work - Wikipedia

    en.wikipedia.org/wiki/Integrated_social_work

    Integrated social work refers to the use of a holistic approach in the practice of social work [1] It differs from Eclecticism in that whilst eclectic social work uses differ parts of a variety of social work theories and models, integrative social work seeks to blend different theories, models, and methods into a personalized and coherent approach that provides lasting solutions to the ...

  7. Residual neural network - Wikipedia

    en.wikipedia.org/wiki/Residual_neural_network

    A residual neural network (also referred to as a residual network or ResNet) [1] is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs. It was developed in 2015 for image recognition , and won the ImageNet Large Scale Visual Recognition Challenge ( ILSVRC ) of that year.

  8. Social Security bill to expand benefits is in the hands of ...

    www.aol.com/heres-whats-next-social-security...

    The Social Security Fairness Act, which would increase benefits for 2.8 million retirees, has bipartisan support but time running out. ... A new Bankrate survey found that 53% of workers expect to ...

  9. Deviance (statistics) - Wikipedia

    en.wikipedia.org/wiki/Deviance_(statistics)

    In statistics, deviance is a goodness-of-fit statistic for a statistical model; it is often used for statistical hypothesis testing.It is a generalization of the idea of using the sum of squares of residuals (SSR) in ordinary least squares to cases where model-fitting is achieved by maximum likelihood.

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