Energy spectra of metastable oxygen atoms produced by electron impact dissociation of O2

Kinetic energies of metastable oxygen atoms formed by electron impact dissociation of oxygen and measured in time of flight experimen

Production of CO(a 3 Pi) and other metastable fragments by electron impact dissociation of CO2

Dissociative excitation of CO(a 3 Pi) and other metastable fragments such as O(5S) produced by electron impact on CO

Excitation of the metastable E(3 Sigma g plus) state of N2 by electron impact

The contribution of the N2(E(3 Sigma g plus)) state to the total metastable excitation function of N2 assessed on the basis of time-of-flight studies of metastable nitrogen molecules. The cross section for electron impact excitation state was determined in the domain of the resonance form threshold (11.87 eV) to an energy of about 13 eV. The maximum value of the cross section was found to be (7.0 + or - 4.0) x 10 to the -18th power sq cm at an energy of 12.2 eV. The measurement was made absolute by using the previously determined yield of the metastable detector, the lifetime of the E state, and by eliminating the energy spread in the electron beam from the raw data. The half-width (FWHM) of the resonance-like excitation function near threshold was found to be about 0.4 eV. No substantial evidence was obtained from the present data for the presence of the nonresonant part of the excitation function for the state studied

A mass spectrometer observation of NO in an auroral arc

NO measurement in auroral arc by mass spectrometer onboard Aerobee rocke

Is it the real deal? Perception of virtual characters versus humans: an affective cognitive neuroscience perspective

Recent developments in neuroimaging research support the increased use of naturalistic stimulus material such as film, animations, or androids. These stimuli allow for a better understanding of how the brain processes information in complex situations while maintaining experimental control. While avatars and androids are well suited to study human cognition, they should not be equated to human stimuli. For example, the Uncanny Valley hypothesis theorizes that artificial agents with high human-likeness may evoke feelings of eeriness in the human observer. Here we review if, when, and how the perception of human-like avatars and androids differs from the perception of humans and consider how this influences their utilization as stimulus material in social and affective neuroimaging studies. First, we discuss how the appearance of virtual characters affects perception. When stimuli are morphed across categories from non-human to human, the most ambiguous stimuli, rather than the most human-like stimuli, show prolonged classification times and increased eeriness. Human-like to human stimuli show a positive linear relationship with familiarity. Secondly, we show that expressions of emotions in human-like avatars can be perceived similarly to human emotions, with corresponding behavioral, physiological and neuronal activations, with exception of physical dissimilarities. Subsequently, we consider if and when one perceives differences in action representation by artificial agents versus humans. Motor resonance and predictive coding models may account for empirical findings, such as an interference effect on action for observed human-like, natural moving characters. However, the expansion of these models to explain more complex behavior, such as empathy, still needs to be investigated in more detail. Finally, we broaden our outlook to social interaction, where virtual reality stimuli can be utilized to imitate complex social situations

A stochastic network with mobile users in heavy traffic

We consider a stochastic network with mobile users in a heavy-traffic regime. We derive the scaling limit of the multi-dimensional queue length process and prove a form of spatial state space collapse. The proof exploits a recent result by Lambert and Simatos which provides a general principle to establish scaling limits of regenerative processes based on the convergence of their excursions. We also prove weak convergence of the sequences of stationary joint queue length distributions and stationary sojourn times.Comment: Final version accepted for publication in Queueing Systems, Theory and Application

Fluorescence Lifetime Imaging Microscopy (FLIM) Data Analysis with TIMP

Fluorescence Lifetime Imaging Microscopy (FLIM) allows fluorescence lifetime images of biological objects to be collected at 250 nm spatial resolution and at (sub-)nanosecond temporal resolution. Often n_comp kinetic processes underlie the observed fluorescence at all locations, but the intensity of the fluorescence associated with each process varies per-location, i.e., per-pixel imaged. Then the statistical challenge is global analysis of the image: use of the fluorescence decay in time at all locations to estimate the n_comp lifetimes associated with the kinetic processes, as well as the amplitude of each kinetic process at each location. Given that typical FLIM images represent on the order of 10^2 timepoints and 10^3 locations, meeting this challenge is computationally intensive. Here the utility of the TIMP package for R to solve parameter estimation problems arising in FLIM image analysis is demonstrated. Case studies on simulated and real data evidence the applicability of the partitioned variable projection algorithm implemented in TIMP to the problem domain, and showcase options included in the package for the visual validation of models for FLIM data.

Issues in Rural Pediatric Primary Care

Children in rural areas experience health disparities above and beyond their urban and suburban counterparts. In order to explore the needs of children and their families in rural health care settings, two research articles were completed: (a) a systematic literature review used to explore brief interventions for use in pediatric primary care and (b) a descriptive cross-sectional study done to analyze the influence of parental biopsychosocial characteristics on child health care utilization. The systematic review revealed a considerable need for empirically supported biopsychosocial brief interventions designed for use with under-served, rural children and their families. The research study revealed a relationship between parent biopsychosocial characteristics (e.g., mental health quality of life) and child health care utilization (both acute and non-acute) in a rural southeastern community health clinic; relationships were also identified between child medical chart diagnoses (e.g., asthma, depression, obesity) and parental scores on biopsychosocial measures. Recommendations developed from both articles are extended for clinicians, researchers, and policy makers who care about the needs of the rural and under-served children and families. Specific recommendations are also made for those who employ a relational lens to their research and who practice from a Medical Family Therapy orientation.  Ph.D