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3,416 result(s) for "Henry, Marcus"
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A Neuro-Influence Experiment to Evaluate the Persuasiveness of Pre-Exposure Prophylaxis Promotion Messages Among Men Who Have Sex With Men: Protocol for a Randomized Controlled Trial
Pre-exposure prophylaxis (PrEP) is recommended by the US Centers for Disease Control and Prevention, but behavioral factors limit uptake, especially among men who have sex with men. A better understanding of how humans cognitively process information may inform health message development to promote PrEP uptake. This paper is informed by the neuroscience of persuasion and influence and describes the protocol of a neuro-influence experiment using functional near-infrared spectroscopy (fNIRS) to evaluate the persuasiveness of PrEP promotion messages among men who have sex with men in Baltimore, Maryland. We will conduct a randomized controlled trial using fNIRS to measure brain activation among 60 participants viewing PrEP promotion messages either developed through a crowdsourcing open contest implemented by the study team or developed with a traditional social marketing approach. We will evaluate the effectiveness of PrEP promotion messages by assessing brain activation in the regions associated with persuasion and changes in PrEP willingness, behavioral intention, initiation, and action between the 2 groups. This study is funded by the National Institutes of Health (National Institute of Mental Health: R34MH116725). Participant recruitment and data collection were completed in October 2023. The first results are expected to be submitted for publication in 2024. In addition to providing insight into the effectiveness of PrEP promotion messages, this study will examine the feasibility, acceptability, and utility of neuroimaging techniques to evaluate PrEP promotion messages for high-risk men who have sex with men. The findings can also demonstrate the utility of fNIRS as a tool for preproduct testing of health campaigns and enable the public health community to deliver more effective messages to improve health outcomes. DERR1-10.2196/52546.
A Crowdsourcing Open Contest to Design Pre-Exposure Prophylaxis Promotion Messages: Protocol for an Exploratory Mixed Methods Study
In the United States, black men who have sex with men (BMSM) are disproportionately affected by HIV. Pre-exposure prophylaxis (PrEP) can reduce HIV incidence. However, real-world implementation of PrEP outside of clinical trials has identified racial disparities in PrEP awareness, uptake, and adherence. In the context of a long history of medical mistrust and power imbalances between scientists and community members, strategies to increase uptake of PrEP among BMSM should consider ways to ensure messages address the needs and priorities of the community. Crowdsourcing contests shift traditional individual tasks to a large group and may enhance community engagement. This paper describes the research protocol of a contest approach to soliciting PrEP promotion messages among BMSM in Baltimore. Open-contest implementation and evaluation will proceed as follows: (1) organize a community steering group; (2) develop platforms to solicit crowd input; (3) engage the community to contribute ideas through a Web-based forum and in-person events; (4) evaluate contest entries using both community panel judge assessment and crowd voting; (5) utilize mixed methods to evaluate feasibility, acceptability, and community engagement; and (6) disseminate contest results. This study was funded by the National Institutes of Health (National Institute of Mental Health: R34MH116725) in May 2018 and was approved by the institutional review board in April 2018. The open contest started in February 2019, and data analyses for the mixed method evaluation are expected to complete in December 2019. The contest will potentially bring new ideas in developing more impactful and locally defined PrEP promotion campaigns. We will determine whether an open-contest approach is acceptable among BMSM in Baltimore. If successful, this study can inform future projects using a similar approach on how to identify and implement programs and policies that are more responsive to community needs and that build up community assets. DERR1-10.2196/15590.
The Term Structure of Second-hand Prices: A Structural Partial Equilibrium Model
Since the pioneering work of Koopmans (1939) and Mossin (1968) in Maritime Economics, the market for new vessels, the market for second-hand vessels, the freight rate market and finally the market for scrap have been considered as different markets where price is formed under the laws of supply and demand. In this paper, we consider the prices of new vessels and the charter rates as sufficient statistics for the value of second-hand vessels. Using modern finance theory, we derive a closed formula for the prices of second-hand vessels taking into consideration their Real Option value. We introduce two explanatory variables for second-hand prices and derive equilibrium prices in a partial equilibrium framework. Our model fits the data and provides some structural insight into the functional form of second-hand prices.
Philo
The philosopher Philo was born about 20 BCE to a prominent Jewish family in Alexandria, the chief home of the Jewish Diaspora as well as the chief center of Hellenistic culture; he was trained in Greek as well as Jewish learning. In attempting to reconcile biblical teachings with Greek philosophy he developed ideas that had wide influence on Christian and Jewish religious thought.
Niver Lines: A System-Dynamics Approach to Tanker Freight Modeling
Managers can improve their investment decisions in a cyclical market, such as the tanker market, by using system-dynamics models. We developed and implemented a system-dynamics model for the tanker market for Niver Lines. We combine entry, exit, and lay-up decisions, and determine the flow of transportation supply. Then, we compare supply and demand and calibrate the system. We derived time-charter rates from the interaction of supply and demand using historical data from 1980 through 2002. Our results reveal the key factors that affect tanker rates and unforeseen dynamics. The model is a powerful tool for modeling the impact of changes in various factors on time-charter rates.
Inferring Interpretable Representations of Population Structure
Inferring population structure is important for several applications in medical and population genetic studies. However, the output of population structure inference methods can often be challenging to interpret. The goal of this dissertation is to apply population structure inference tools to learn and visualize demographic history and develop statistical methods for interpretable population structure inference. In Chapter 2, I apply population structure inference tools to learn about the genetic history of the Mediterranean island of Sardinia using a new ancient DNA dataset. In Chapter 3, I develop a fast and flexible statistical method and optimization algorithm for inferring and visualizing non-homogeneous patterns of migration using spatially indexed population genetic data. Finally, in Chapter 4, I develop a new Bayesian matrix factorization method and variational inference algorithm for emphasizing shared evolutionary histories when representing population structure. Overall, the work presented in this dissertation aims to provide interpretable representations of population structure which, in turn, give understanding into the underlying demographic factors that shape patterns of genetic variation.