The effect of inconsistency appeals on the influence of direct-to-consumer prescription drug advertisements: An application of goal disruption theory

Scholars across multiple domains have identified the presence of inconsistency-arousing information in direct-to-consumer (DTC) prescription drug advertisements, and have suggested that these appeals, which highlight differences between people’s actual and desired lives, may create psychological disequilibrium. However, experimental assessment of the distinct influence of inconsistency-arousing information in this domain is rare. Guided by goal disruption theory (GDT)—a framework that outlines people’s reactions to goal expectation violations—we created DTC advertisements designed to make people’s life inconsistencies salient. The influence of these ads on people’s perceptions of, and intentions to use, prescription drugs was then assessed. Results from an SEM analysis support the proposed model, indicating that compared to a control ad, an ad containing a goal expectation violation manipulation resulted in higher levels of psychological disequilibrium; in turn, psychological disequilibrium led to positive evaluations of the ad and the drug, positive outcome expectations of the drug, increased purposive harm endurance, and increased usage intentions. The current results suggest a psychological pathway that begins with a negative goal expectation violation and ends with increased usage intentions and a greater willingness to endure harm to make use possible

The Effects of Health-Promoting Signs Encouraging Stair Use in Parking Structures

This research study aims to promote physical activity by encouraging stair use rather than elevators using persuasive point-of-choice prompts. The current investigation is comprised of two sub-studies: pilot testing, which we have completed; and the main study, which will be conducted in the fall. While most studies in this area use observation to count pedestrian traffic, a novel component of the current research is that we will use a pressure mat to measure stair and elevator use. As such, before completing the main study, we completed two pilot studies to test the feasibility of the mat technology and the messaging of the persuasive prompts. We researched the type of mat that would be ideal for recording pedestrian traffic and considered features such as wired/wireless, battery-powered, open-switch, minimal threshold activation, and high-frequency recording. We completed various trials to determine the validity and accuracy of the mats in different settings and situations and the results of this analysis will be discussed. Additionally, the results from the survey conducted to evaluate potential messages on the point-of-choice prompts will also be detailed. Within this survey, message categories were narrowed to motivational/encouraging and nudging/humor messages. The survey was administered in Chapman University classes and students’ responses to several sample messages in each of these categories were compared via a series of six, semantic differential adjectives, rated on seven-point scales. Qualitative feedback on an open-ended question after each message was also solicited. The highest rated messages will be used in the main study. There are three key components to the main study, which we will complete in the fall: 1) objectively measure stair and elevator use for two weeks; 2) introduce point-of-choice prompts and measure stair and elevator use for two weeks; 3) remove signs and continue recording for an additional two weeks to observe potential effects

Stair Versus Elevator Use in a University Residence Hall Setting

Objective Determine the temporal and spatial characteristics of stairs versus elevator use in a university residence hall to inform future physical activity promotion efforts. Participants All residents and visitors for a single, four-story residence hall dormitory building located on a college campus in Orange, CA. Methods Smart mat systems capable of detecting pedestrian traffic were placed in front of the stairs and elevators on each floor plus a basement. Generalized additive mixed models (GAMMs) were used to compare stair versus elevator usage at different times of the day and on different floors. Results Stair versus elevator use varied much more throughout the day on floors nearest to the ground floor, with stair use most common in the morning. Overall, the elevator was used more frequently on higher floors, with less variation throughout the day. Conclusion To be most effective, future stair promotion interventions should target residents on higher floors and in the morning

The Effect of Team-Building Interventions on Group Cohesion and Academic Performance

The present study investigates the effect of group cohesion on academic success in undergraduate students in a semester-long group project. Students in Research Methods classes form small groups at the beginning of the semester and conduct experiments with their teammates throughout the course. Oftentimes, professors do not include any team-building interventions in their class sessions. However, research shows that a sense of group cohesion enhances group performance across various settings (e.g., on sports teams). The more cohesive a group feels both socially and professionally, the more likely they are to work together towards shared goals. This research aims to test whether interventions that are meant to enhance group cohesion in a classroom setting impact perceived and actual group and academic performance. At the beginning of the semester, two sections of Research Methods in Behavioral Science received a pretest survey to determine their baseline cohesion. Throughout the semester, students in the experimental class participated in three team-building interventions that involved answering three personal reflection writing prompts to fill out at home and bring to class. This technique is known as Personal-Disclosure Mutual-Sharing (PDMS). On the intervention days, each group met and had a discussion in which they shared their personal answers with the group. The control group only received surveys throughout the semester that measured their cohesion. After the groups complete their projects at the end of the semester, each participant will fill out a posttest survey rating perceptions of cohesion within their group; in addition, we will collect students’ final grades to determine if the interventions had any significant effect on their performance. We expect that groups who participate in the interventions will have a greater perceived sense of cohesion with their team members, which will ultimately improve their academic performance

Longitudinal coupling between a Si/SiGe quantum dot and an off-chip TiN resonator

Superconducting cavities have emerged as a key tool for measuring the spin states of quantum dots. So far however, few experiments have explored longitudinal couplings between dots and cavities, and no solid-state qubit experiments have explicitly probed the "adiabatic" regime, where the Purcell decay is strongly suppressed. Here, we report measurements of a quantum-dot hybrid qubit coupled to a high-impedance resonator via a "flip-chip" design geometry. By applying an ac drive to the qubit through two different channels, and studying the effects of qubit energy detuning and interdot tunneling, we are able to unequivocally confirm the presence of a longitudinal coupling between the qubit and cavity. Since this coupling is proportional to the driving amplitude, and is therefore switchable, it has the potential to become a powerful new tool in qubit experiments.Comment: Main text and Supplementary Materials, 16 pages, 9 figure

Microwave Packaging for Superconducting Qubits

Over the past two decades, the performance of superconducting quantum circuits has tremendously improved. The progress of superconducting qubits enabled a new industry branch to emerge from global technology enterprises to quantum computing startups. Here, an overview of superconducting quantum circuit microwave control is presented. Furthermore, we discuss one of the persistent engineering challenges in the field, how to control the electromagnetic environment of increasingly complex superconducting circuits such that they are simultaneously protected and efficiently controllable

Modulational instability of bright solitary waves in incoherently coupled nonlinear Schr\"odinger equations

We present a detailed analysis of the modulational instability (MI) of ground-state bright solitary solutions of two incoherently coupled nonlinear Schr\"odinger equations. Varying the relative strength of cross-phase and self-phase effects we show existence and origin of four branches of MI of the two-wave solitary solutions. We give a physical interpretation of our results in terms of the group velocity dispersion (GVD) induced polarization dynamics of spatial solitary waves. In particular, we show that in media with normal GVD spatial symmetry breaking changes to polarization symmetry breaking when the relative strength of the cross-phase modulation exceeds a certain threshold value. The analytical and numerical stability analyses are fully supported by an extensive series of numerical simulations of the full model.Comment: Physical Review E, July, 199

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.

MotivationMultiple biological clocks govern a healthy pregnancy. These biological mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic adaptations during the course of pregnancy. Modeling the chronology of these adaptations during full-term pregnancy provides the frameworks for future studies examining deviations implicated in pregnancy-related pathologies including preterm birth and preeclampsia.ResultsWe performed a multiomics analysis of 51 samples from 17 pregnant women, delivering at term. The datasets included measurements from the immunome, transcriptome, microbiome, proteome and metabolome of samples obtained simultaneously from the same patients. Multivariate predictive modeling using the Elastic Net (EN) algorithm was used to measure the ability of each dataset to predict gestational age. Using stacked generalization, these datasets were combined into a single model. This model not only significantly increased predictive power by combining all datasets, but also revealed novel interactions between different biological modalities. Future work includes expansion of the cohort to preterm-enriched populations and in vivo analysis of immune-modulating interventions based on the mechanisms identified.Availability and implementationDatasets and scripts for reproduction of results are available through: https://nalab.stanford.edu/multiomics-pregnancy/.Supplementary informationSupplementary data are available at Bioinformatics online

Assessing the Health of the U.S. West Coast with a Regional-Scale Application of the Ocean Health Index

Management of marine ecosystems increasingly demands comprehensive and quantitative assessments of ocean health, but lacks a tool to do so. We applied the recently developed Ocean Health Index to assess ocean health in the relatively data-rich US west coast region. The overall region scored 71 out of 100, with sub-regions scoring from 65 (Washington) to 74 (Oregon). Highest scoring goals included tourism and recreation (99) and clean waters (87), while the lowest scoring goals were sense of place (48) and artisanal fishing opportunities (57). Surprisingly, even in this well-studied area data limitations precluded robust assessments of past trends in overall ocean health. Nonetheless, retrospective calculation of current status showed that many goals have declined, by up to 20%. In contrast, near-term future scores were on average 6% greater than current status across all goals and sub-regions. Application of hypothetical but realistic management scenarios illustrate how the Index can be used to predict and understand the tradeoffs among goals and consequences for overall ocean health. We illustrate and discuss how this index can be used to vet underlying assumptions and decisions with local stakeholders and decision-makers so that scores reflect regional knowledge, priorities and values. We also highlight the importance of ongoing and future monitoring that will provide robust data relevant to ocean health assessment