1,484 research outputs found

    Humanistic Marketing and Digitalization for Quality of Life and Sustainability: a Theoretical Approach

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    Marketing plays a key role in the configuration of human and organizational actions through the design, digitalization and communication of social and economic values. In a digital age, Marketing strategies are at the center of several controversies like the growth of consumeristic practices, environmental damage and public opinion manipulation among others. However, Marketing is a scientific discipline and practice that demonstrated its capacity to increase people’s quality of life. The objective of this paper is to present a theoretical framework of Humanistic Marketing for the promotion of quality of life based on Human-to-Human Marketing, Strategic Orchestration and Social Marketing models.El marketing desempeña un papel clave en la configuración de las acciones humanas y organizativas a través del diseño, la digitalización y la comunicación de los valores sociales y económicos. En la era digital, las estrategias de Marketing están en el centro de varias controversias como el crecimiento de las prácticas consumistas, el daño al medio ambiente y la manipulación de la opinión pública entre otros. Sin embargo, el Marketing es una disciplina y una práctica científica que ha demostrado su capacidad para aumentar la calidad de vida de las personas. El objetivo de este trabajo es presentar un marco teórico del Marketing Humanista para la promoción de la calidad de vida basado en los modelos de Marketing Humano a Humano, Orquestación Estratégica y Marketing Social

    Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

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    An instrument is a random nudge toward acceptance of a treatment that affects outcomes only to the extent that it affects acceptance of the treatment. Nonetheless, in settings in which treatment assignment is mostly deliberate and not random, there may exist some essentially random nudges to accept treatment, so that use of an instrument might extract bits of random treatment assignment from a setting that is otherwise quite biased in its treatment assignments. An instrument is weak if the random nudges barely influence treatment assignment or strong if the nudges are often decisive in influencing treatment assignment. Although ideally an ostensibly random instrument is perfectly random and not biased, it is not possible to be certain of this; thus a typical concern is that even the instrument might be biased to some degree. It is known from theoretical arguments that weak instruments are invariably sensitive to extremely small biases; for this reason, strong instruments are preferred. The strength of an instrument is often taken as a given. It is not. In an evaluation of effects of perinatal care on the mortality of premature infants, we show that it is possible to build a stronger instrument, we show how to do it, and we show that success in this task is critically important. We also develop methods of permutation inference for effect ratios, a key component in an instrumental variable analysis

    Exploring Data Driven Youth Character Education Frameworks: A Systematic Literature Review on Learning Analytics Models and Participatory Design

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    Character development requires not only high-quality curriculums, but also educators who are able to adapt programs to learners’ needs and context and staff development strategies. Big data and learning analytics strategies may improve youth character development especially in developing countries facilitating educators’ development and practical wisdom, as well as curriculum implementation’s effectiveness in countries with less knowhow in the issue. This study presents a systematic mapping literature review on the models and methods of learning analytics applied in the improvement of youth character education. Based on the literature review results, the research provides insights for future research and implementation of character education programs, and proposes a revised participatory knowledge management data-driven procedure that may facilitate educators to identify and undertake the best character formation actions in specific situations

    Drug design and synthesis of first in class PDZ1 targeting NHERF1 inhibitors as anticancer agents

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    Targeted approaches aiming at modulating NHERF1 activity, rather than its overall expression, would be preferred to preserve the normal functions of this versatile protein. We focused our attention on the NHERF1/PDZ1 domain that governs its membrane recruitment/displacement through a transient phosphorylation switch. We herein report the design and synthesis of novel NHERF1 PDZ1 domain inhibitors. These compounds have potential therapeutic value when used in combination with antagonists of β-catenin to augment apoptotic death of colorectal cancer cells refractory to currently available Wnt/β-catenin-targeted agents

    Stabilization arising from PGEM : a review and further developments

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    The aim of this paper is twofold. First, we review the recent Petrov-Galerkin enriched method (PGEM) to stabilize numerical solutions of BVP's in primal and mixed forms. Then, we extend such enrichment technique to a mixed singularly perturbed problem, namely, the generalized Stokes problem, and focus on a stabilized finite element method arising in a natural way after performing static condensation. The resulting stabilized method is shown to lead to optimal convergences, and afterward, it is numerically validated
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