Deciphering the role of the octopamine receptor OAβ1R in Drosophila male aggression

Nearly every species utilizes aggression to secure resources or gain access to mates; however, the pathways directing aggressive behavior are not well understood. Previous work in the Certel Lab has identified genes and sets of neurons important in Drosophila male aggression. Of particular interest are a group of ~100 neurons that express the neurotransmitter octopamine, which is structurally related to norepinephrine in vertebrates. Males without octopamine take longer to fight and exhibit a reduced number of lunges (a key aggressive behavioral pattern). Octopamine exerts its effects by binding to specific G-protein-coupled-receptors. Four octopamine receptors are present in Drosophila including OAMB, OAβ1R, OAβ2R, and OAβ3R. Currently I am examining the role of the OAβ1R receptor in male aggression. To test the role of OAβ1R, I am setting up fights between pairs of males that have the OAβ1R receptor removed via a genetic expression system and pairs of control males. The first step in initiating aggression is gender identification from one male to the other. OAβ1R is of particular interest as it is expressed in sensory neurons in the adult male leg, a key location in sex identification. After watching the recorded fights, I am scoring multiple parameters including how long it takes the males to start fighting, how many lunges, and occurrences of male-male courtship. To this point, I do not observe significant differences in latency to aggression or lunge number between males. However, my results indicate an increase in male-to-male courtship in pairs of experimental males without OAβ1R versus controls. At the completion of my project, I will be able to assign specific contributions of the OAβ1R receptor to the critical behaviors of male aggression and courtship

Analysis of rolling group therapy data using conditionally autoregressive priors

Group therapy is a central treatment modality for behavioral health disorders such as alcohol and other drug use (AOD) and depression. Group therapy is often delivered under a rolling (or open) admissions policy, where new clients are continuously enrolled into a group as space permits. Rolling admissions policies result in a complex correlation structure among client outcomes. Despite the ubiquity of rolling admissions in practice, little guidance on the analysis of such data is available. We discuss the limitations of previously proposed approaches in the context of a study that delivered group cognitive behavioral therapy for depression to clients in residential substance abuse treatment. We improve upon previous rolling group analytic approaches by fully modeling the interrelatedness of client depressive symptom scores using a hierarchical Bayesian model that assumes a conditionally autoregressive prior for session-level random effects. We demonstrate improved performance using our method for estimating the variance of model parameters and the enhanced ability to learn about the complex correlation structure among participants in rolling therapy groups. Our approach broadly applies to any group therapy setting where groups have changing client composition. It will lead to more efficient analyses of client-level data and improve the group therapy research community's ability to understand how the dynamics of rolling groups lead to client outcomes.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS434 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

Imaging and reporting considerations for suspected physical abuse (non-accidental injury) in infants and young children. Part 2: axial skeleton and differential diagnoses

Recognising the skeletal manifestations of inflicted injury (II) in infants and young children is of crucial importance. There are specific fracture patterns which are highly suspicious of II in addition to common differential diagnoses with which radiologists should be familiar. Our objective is to provide a non-exhaustive review of the important factors relevant to the imaging and reporting of II as a platform for further learning. Part 2 encompasses fracture patterns of the axial skeleton and important differential diagnoses

The Health Effects of Medicare for the Near-Elderly Uninsured

We study how the trajectory of health for the near-elderly uninsured changes upon enrolling into Medicare at the age of 65. We find that Medicare increases the probability of the previously uninsured having excellent or very good health, decreases their probability of being in good health, and has no discernable effects at lower health levels. Surprisingly, we found Medicare had a similar effect on health for the previously insured. This suggests that Medicare helps the relatively healthy 65 year olds, but does little for those who are already in declining health once they reach the age of 65. The improvement in health between the uninsured and insured were not statistically different from each other. The stability of insurance coverage afforded by Medicare may be the source of the health benefit suggesting that universal coverage at other ages may have similar health effects.

Loss Function Based Ranking in Two-Stage, Hierarchical Models

Several authors have studied the performance of optimal, squared error loss (SEL) estimated ranks. Though these are effective, in many applications interest focuses on identifying the relatively good (e.g., in the upper 10%) or relatively poor performers. We construct loss functions that address this goal and evaluate candidate rank estimates, some of which optimize specific loss functions. We study performance for a fully parametric hierarchical model with a Gaussian prior and Gaussian sampling distributions, evaluating performance for several loss functions. Results show that though SEL-optimal ranks and percentiles do not specifically focus on classifying with respect to a percentile cut point, they perform very well over a broad range of loss functions. We compare inferences produced by the candidate estimates using data from The Community Tracking Study

The Institutionalization of Photojournalism Education: Bringing the Blue-Apron Ghetto to American Schools of Journalism

As journalism educators wrestle to keep programs up-to-date in an evolving news landscape, there is value in understanding how education in an early form of multimedia journalism — photography — came to be. Little attention has been paid to the intersection of journalism education and photojournalism. This subject furnishes a unique perspective on photojournalism’s professionalization. This dissertation examines the history of university-level photojournalism education in the early and mid 20th century by asking what influenced the creation, diffusion, and adoption of photojournalism pedagogy in American higher education and what the consequences were. Neo-institutional theory’s focus on legitimacy supports exploration of evolving organizational norms in photojournalism education. Contemporary writings on higher education, journalism education, and photojournalism reveal important environmental conditions. Shifting educational principles are tracked via records of journalism education groups. Analysis of textbooks elucidates evolving practices and opinions. Archival case studies of journalism programs at the University of Maryland and the University of Georgia provide detailed examples of evolving approaches to photojournalism education. Illuminated are deep-seated issues: the struggle for legitimacy, tension between practical skills and critical thinking, and the relationship between textual and visual journalism. Efforts to establish photojournalism education occurred well after the establishment of textual journalism education. Both faced similar challenges, including concerns about skill-based learning in higher education. But photojournalism education’s acceptance was initially hindered because it clashed with journalism education’s hard-won image as suitable in liberal arts institutions. Later, rapid expansion of interest in providing photojournalism courses promoted homogenization. The changing environment featured constant uncertainty. This perpetuated isomorphism in which the initial range of approaches narrowed and photojournalism offerings became more alike. This dissertation concludes that choices at both the local and national levels in photojournalism education were made to project outward legitimacy. The resulting curricula were not necessarily the best, most useful, efficient, or practical. Local factors — staffing, accreditation, location, mission, school type, and receptivity to innovation — were influential. Wider environmental factors also played a role as journalism education was institutionalized. Today, in facing the challenge of incorporating new reporting methods, journalism educators must recognize the wide variety of factors and influences that may be involved

Ranking USRDS Provider-Specific SMRs from 1998-2001

Provider profiling (ranking, league tables ) is prevalent in health services research. Similarly, comparing educational institutions and identifying differentially expressed genes depend on ranking. Effective ranking procedures must be structured by a hierarchical (Bayesian) model and guided by a ranking-specific loss function, however even optimal methods can perform poorly and estimates must be accompanied by uncertainty assessments. We use the 1998-2001 Standardized Mortality Ratio (SMR) data from United States Renal Data System (USRDS) as a platform to identify issues and approaches. Our analyses extend Liu et al. (2004) by combining evidence over multiple years via an AR(1) model; by considering estimates that minimize errors in classifying providers above or below a percentile cutpoint in addition to those that minimize rank-based, squared-error loss; by considering ranks based on the posterior probability that a provider\u27s SMR exceeds a threshold; by comparing these ranks to those produced by ranking MLEs and ranking P-values associated with testing whether a provider\u27s SMR = 1; by comparing results for a parametric and a non-parametric prior; by reporting on a suite of uncertainty measures. Results show that MLE-based and hypothesis test based ranks are far from optimal, that uncertainty measures effectively calibrate performance; that in the USRDS context ranks based on single-year data perform poorly, but that performance improves substantially when using the AR(1) model; that ranks based on posterior probabilities of exceeding a properly chosen SMR threshold are essentially identical to those produced by minimizing classification loss. These findings highlight areas requiring additional research and the need to educate stakeholders on the uses and abuses of ranks; on their proper role in science and policy; on the absolute necessity of accompanying estimated ranks with uncertainty assessments and ensuring that these uncertainties influence decisions