Publications by authors named "J R Hancock"

Background: Contrary to popular concerns about the harmful effects of media use on mental health, research on this relationship is ambiguous, stalling advances in theory, interventions, and policy. Scientific explorations of the relationship between media and mental health have mostly found null or small associations, with the results often blamed on the use of cross-sectional study designs or imprecise measures of media use and mental health.

Objective: This exploratory empirical demonstration aimed to answer whether mental health effects are associated with media use experiences by (1) redirecting research investments to granular and intensive longitudinal recordings of digital experiences to build models of media use and mental health for single individuals over the course of one entire year, (2) using new metrics of fragmented media use to propose explanations of mental health effects that will advance person-specific theorizing in media psychology, and (3) identifying combinations of media behaviors and mental health symptoms that may be more useful for studying media effects than single measures of dosage and affect or assessments of clinical symptoms related to specific disorders.

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Objective: Female mice exhibit progressive progesterone (P4) deficiency, luteal cell degeneration, and premature embryo implantation failure at 5 months old. We attempted to rescue embryo implantation in non-virgin mice (5-6 months old) with exogenous P4 treatment on days 1.5 post-coitum (D1.

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Arteriovenous malformations (AVMs) are abnormal vascular connections bypassing the capillary system, categorized as acquired or congenital. Acquired uterine AVMs, often resulting from uterine trauma due to procedures like dilatation and curettage, can be life threatening, necessitating prompt diagnosis and management. Here we present a 34-year-old woman with a history of missed abortion and dilatation and curettage presenting with abnormal uterine bleeding 2 months postprocedure.

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Systems biology aims to understand living organisms through mathematically modeling their behaviors at different organizational levels, ranging from molecules to populations. Modeling involves several steps, from determining the model purpose to developing the mathematical model, implementing it computationally, simulating the model's behavior, evaluating, and refining the model. Importantly, model simulation results must be reproducible, ensuring that other researchers can obtain the same results after writing the code de novo and/or using different software tools.

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One of humanity's greatest strengths lies in our ability to collaborate to achieve more than we can alone. Just as collaboration can be an important strength, humankind's inability to detect deception is one of our greatest weaknesses. Recently, our struggles with deception detection have been the subject of scholarly and public attention with the rise and spread of misinformation online, which threatens public health and civic society.

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