368 research outputs found
A Comparative Analysis of the Performance of Emerging v. Nonemerging Industry Initial Public Offerings
This study fills a gap in previous research by investigating differences between the short- and long-run aftermarket performances in a sample of emerging v. nonemerging industries
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Functional Imaging of the Outer Retinal Complex using High Fidelity Imaging Retinal Densitometry
We describe a new technique, high fidelity Imaging Retinal Densitometry (IRD), which probes the functional integrity of the outer retinal complex. We demonstrate the ability of the technique to map visual pigment optical density and synthesis rates in eyes with and without macular disease. A multispectral retinal imaging device obtained precise measurements of retinal reflectance over space and time. Data obtained from healthy controls and 5 patients with intermediate AMD, before and after photopigment bleaching, were used to quantify visual pigment metrics. Heat maps were plotted to summarise the topography of rod and cone pigment kinetics and descriptive statistics conducted to highlight differences between those with and without AMD. Rod and cone visual pigment synthesis rates in those with AMD (v = 0.043 SD 0.019 min-1 and v = 0.119 SD 0.046 min-1, respectively) were approximately half those observed in healthy controls (v = 0.079 SD 0.024 min-1 for rods and v = 0.206 SD 0.069 min-1 for cones). By mapping visual pigment kinetics across the central retina, high fidelity IRD provides a unique insight into outer retinal complex function. This new technique will improve the phenotypic characterisation, diagnosis and treatment monitoring of various ocular pathologies, including AMD
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A method for high-throughput gene expression signature analysis
Genome-wide transcriptional profiling has shown that different biologic states (for instance, disease and response to pharmacologic manipulation) can be recognized by the expression pattern of relatively small numbers of genes. However, the lack of a practical and cost-effective technology for detection of these gene expression 'signatures' in large numbers of samples has severely limited their exploitation in important medical and pharmaceutical discovery applications. Here, we describe a solution based on the combination of ligation-mediated amplification with an optically addressed microsphere and flow cytometric detection system
Maxwellian gas undergoing a stationary Poiseuille flow in a pipe
The hierarchy of moment equations derived from the nonlinear Boltzmann
equation is solved for a gas of Maxwell molecules undergoing a stationary
Poiseuille flow induced by an external force in a pipe. The solution is
obtained as a perturbation expansion in powers of the force (through third
order). A critical comparison is done between the Navier-Stokes theory and the
predictions obtained from the Boltzmann equation for the profiles of the
hydrodynamic quantities and their fluxes. The Navier-Stokes description fails
to first order and, especially, to second order in the force. Thus, the
hydrostatic pressure is not uniform, the temperature profile exhibits a
non-monotonic behavior, a longitudinal component of the flux exists in the
absence of longitudinal thermal gradient, and normal stress differences are
present. On the other hand, comparison with the Bhatnagar-Gross-Krook model
kinetic equation shows that the latter is able to capture the correct
functional dependence of the fields, although the numerical values of the
coefficients are in general between 0.38 and 1.38 times the Boltzmann values. A
short comparison with the results corresponding to the planar Poiseuille flow
is also carried out.Comment: 31 pages, 6 figures; to be published in Physica
Thromboembolism in the Sub-Acute Phase of Spinal Cord Injury: A Systematic Review of the Literature.
To review the evidence of thromboembolism incidence and prophylaxis in the sub-acute phase of spinal cord injury (SCI) 3-6 months post injury. All observational and experimental studies with any length of follow-up and no limitations on language or publication status published up to March 2015 were included. Two review authors independently selected trials for inclusion and extracted data. Outcomes studied were incidence of pulmonary embolism (PE) and deep vein thrombosis (DVT) in the sub-acute phase of SCI. The secondary outcome was type of thromboprophylaxis. Our search identified 4305 references and seven articles that met the inclusion criteria. Five papers reported PE events and three papers reported DVT events in the sub-acute phase of SCI. Studies were heterogeneous in populations, design and outcome reporting, therefore a meta-analysis was not performed. The included studies report a PE incidence of 0.5%-6.0% and DVT incidence of 2.0%-8.0% in the sub-acute phase of SCI. Thromboprophylaxis was poorly reported. Spinal patients continue to have a significant risk of PE and DVT after the acute period of their injury. Clinicians are advised to have a low threshold for suspecting venous thromboembolism in the sub-acute phase of SCI and to continue prophylactic anticoagulation therapy for a longer period of time
ROSIsat
As the cost of sending satellites into space continues to drive down, the use of CubeSats for orbital missions continues to rise. Even though these satellites are smaller than traditional satellites, they still provide the ability to take on important science-based missions at a fraction of the cost. The Radiation Orbital Shielding Investigation satellite (ROSIsat) otherwise known as Project Hermes, will be the first student-built satellite for Embry-Riddle’s Daytona Beach campus. The main research mission of Project Hermes consists of shielding onboard flight computer memory modules from space radiation using various materials and substances. These materials include simulated Martian and Lunar regolith. To send a student-built CubeSat to space, the Hermes team is designing and integrating the majority of the satellite’s components in-house. These in-house components include the CubeSat’s electronics system, avionics, payload bay, and magnetorquer. Project Hermes will provide students with educational, technical, scientific, and legal knowledge that can be applied in their respective futures
Measuring the Impact of Primary Care Team Composition on Patient Activation Utilizing Electronic Health Record Big Data Analytics
Purpose
Team-based care has been linked to key outcomes associated with the Quadruple Aim and a key driver of high-value patient-centered care. Use of the electronic health record (EHR) and machine learning have significant potential to overcome previous barriers to studying the impact of teams, including delays in accessing data to improve teamwork and optimize patient outcomes.
Methods
This study utilized a large EHR dataset (n = 316,542) from an urban health system to explore the relationship between team composition and patient activation, a key driver of patient engagement. Teams were operationalized using consensus definitions of teamwork from the literature. Patient activation was measured using the Patient Activation Measure (PAM). Results from multilevel regression analyses were compared to machine learning analyses using multinomial logistic regression to calculate propensity scores for the effect of team composition on PAM scores. Under the machine learning approach, a causal inference model with generalized overlap weighting was used to calculate the average treatment effect of teamwork.
Results
Seventeen different team types were observed in the data from the analyzed sample (n = 12,448). Team sizes ranged from 2 to 5 members. After controlling for confounding variables in both analyses, more diverse, multidisciplinary teams (team size of 4 or more) were observed to have improved patient activation scores.
Conclusions
This is the first study to explore the relationship between team composition and patient activation using the EHR and big data analytics. Implications for further research using EHR data and machine learning to study teams and other patient-centered care are promising and could be used to advance team science. (J Patient Cent Res Rev. 2024;11:18-28.
Mu and Tau Neutrino Thermalization and Production in Supernovae: Processes and Timescales
We investigate the rates of production and thermalization of and
neutrinos at temperatures and densities relevant to core-collapse
supernovae and protoneutron stars. Included are contributions from electron
scattering, electron-positron annihilation, nucleon-nucleon bremsstrahlung, and
nucleon scattering. For the scattering processes, in order to incorporate the
full scattering kinematics at arbitrary degeneracy, the structure function
formalism developed by Reddy et al. (1998) and Burrows and Sawyer (1998) is
employed. Furthermore, we derive formulae for the total and differential rates
of nucleon-nucleon bremsstrahlung for arbitrary nucleon degeneracy in
asymmetric matter. We find that electron scattering dominates nucleon
scattering as a thermalization process at low neutrino energies
( MeV), but that nucleon scattering is always faster
than or comparable to electron scattering above MeV. In
addition, for g cm, MeV, and
neutrino energies MeV, nucleon-nucleon bremsstrahlung always
dominates electron-positron annihilation as a production mechanism for
and neutrinos.Comment: 29 pages, LaTeX (RevTeX), 13 figures, submitted to Phys. Rev. C. Also
to be found at anonymous ftp site http://www.astrophysics.arizona.edu; cd to
pub/thompso
Chromosome Conformation Capture Carbon Copy (5C): a massively parallel solution for mapping interactions between genomic elements
Physical interactions between genetic elements located throughout the genome play important roles in gene regulation and can be identified with the Chromosome Conformation Capture (3C) methodology. 3C converts physical chromatin interactions into specific ligation products, which are quantified individually by PCR. Here we present a high-throughput 3C approach, 3C-Carbon Copy (5C), that employs microarrays or quantitative DNA sequencing using 454-technology as detection methods. We applied 5C to analyze a 400-kb region containing the human beta-globin locus and a 100-kb conserved gene desert region. We validated 5C by detection of several previously identified looping interactions in the beta-globin locus. We also identified a new looping interaction in K562 cells between the beta-globin Locus Control Region and the gamma-beta-globin intergenic region. Interestingly, this region has been implicated in the control of developmental globin gene switching. 5C should be widely applicable for large-scale mapping of cis- and trans- interaction networks of genomic elements and for the study of higher-order chromosome structure
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