59 research outputs found
Knowledge and Behavior Improvement Through a Skin Cancer Action Approach Exhibit
The purpose of the project reported here was to reduce the risk of skin cancer through an educational exhibit. Educational exhibits including brochures, conversation with Extension agents, wide-brimmed hats, and sunscreen were used to educate agriculturalists. Pre- and post-surveys queried participants regarding sun habits, knowledge of risk factors, perceived risk, and history of skin cancer. The results showed an increased use of wide-brimmed hats (p=0.00), sun-protective clothing (p=0.00), and knowledge of skin cancer risk factors (p= 0.014). A trend toward increasing sunscreen use and decreasing sole use of baseball caps was also seen
Strengthening value chains in Sri Lanka's agribusiness: A way to reconcile competitiveness with socially inclusive growth?
Recommended from our members
Neural Process Reconstruction from Sparse User Scribbles
We present a novel semi-automatic method for segmenting neural processes in large, highly anisotropic EM (electron microscopy) image stacks. Our method takes advantage of sparse scribble annotations provided by the user to guide a 3D variational segmentation model, thereby allowing our method to globally optimally enforce 3D geometric constraints on the segmentation. Moreover, we leverage a novel algorithm for propagating segmentation constraints through the image stack via optimal volumetric pathways, thereby allowing our method to compute highly accurate 3D segmentations from very sparse user input. We evaluate our method by reconstructing 16 neural processes in a 1024×1024×50 nanometer-scale EM image stack of a mouse hippocampus. We demonstrate that, on average, our method is 68% more accurate than previous state-of-the-art semi-automatic methods.Engineering and Applied Science
Commissioning ShARCS: the Shane Adaptive optics infraRed Camera-Spectrograph for the Lick Observatory 3-m telescope
We describe the design and first-light early science performance of the Shane
Adaptive optics infraRed Camera-Spectrograph (ShARCS) on Lick Observatory's 3-m
Shane telescope. Designed to work with the new ShaneAO adaptive optics system,
ShARCS is capable of high-efficiency, diffraction-limited imaging and
low-dispersion grism spectroscopy in J, H, and K-bands. ShARCS uses a
HAWAII-2RG infrared detector, giving high quantum efficiency (>80%) and Nyquist
sampling the diffraction limit in all three wavelength bands. The ShARCS
instrument is also equipped for linear polarimetry and is sensitive down to 650
nm to support future visible-light adaptive optics capability. We report on the
early science data taken during commissioning.Comment: 9 pages, 7 figures. Presented at SPIE Astronomical Telescopes +
Instrumentation conference, paper 9148-11
Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images
Automated sample preparation and electron microscopy enables acquisition of
very large image data sets. These technical advances are of special importance
to the field of neuroanatomy, as 3D reconstructions of neuronal processes at
the nm scale can provide new insight into the fine grained structure of the
brain. Segmentation of large-scale electron microscopy data is the main
bottleneck in the analysis of these data sets. In this paper we present a
pipeline that provides state-of-the art reconstruction performance while
scaling to data sets in the GB-TB range. First, we train a random forest
classifier on interactive sparse user annotations. The classifier output is
combined with an anisotropic smoothing prior in a Conditional Random Field
framework to generate multiple segmentation hypotheses per image. These
segmentations are then combined into geometrically consistent 3D objects by
segmentation fusion. We provide qualitative and quantitative evaluation of the
automatic segmentation and demonstrate large-scale 3D reconstructions of
neuronal processes from a volume of brain
tissue over a cube of in each dimension corresponding to
1000 consecutive image sections. We also introduce Mojo, a proofreading tool
including semi-automated correction of merge errors based on sparse user
scribbles
Opto-Mechanical Design of ShaneAO: the Adaptive Optics System for the 3-meter Shane Telescope
A Cassegrain mounted adaptive optics instrument presents unique challenges
for opto-mechanical design. The flexure and temperature tolerances for
stability are tighter than those of seeing limited instruments. This criteria
requires particular attention to material properties and mounting techniques.
This paper addresses the mechanical designs developed to meet the optical
functional requirements. One of the key considerations was to have
gravitational deformations, which vary with telescope orientation, stay within
the optical error budget, or ensure that we can compensate with a steering
mirror by maintaining predictable elastic behavior. Here we look at several
cases where deformation is predicted with finite element analysis and Hertzian
deformation analysis and also tested. Techniques used to address thermal
deformation compensation without the use of low CTE materials will also be
discussed.Comment: 14 pages, 14 figures, 4 tables. Presented at SPIE Astronomical
Telescopes + Instrumentation conference, paper 9148-11
Combo Night 2011
UNF Music Flagship Program Presents Combo Night Featuring UNF Jazz Studies Students
Wednesday, October 5, 2011 UNF Fine Arts Center - Choir Room, 140
Pharmacokinetic-Pharmacodynamic Modeling in Pediatric Drug Development, and the Importance of Standardized Scaling of Clearance.
Pharmacokinetic/pharmacodynamic (PKPD) modeling is important in the design and conduct of clinical pharmacology research in children. During drug development, PKPD modeling and simulation should underpin rational trial design and facilitate extrapolation to investigate efficacy and safety. The application of PKPD modeling to optimize dosing recommendations and therapeutic drug monitoring is also increasing, and PKPD model-based dose individualization will become a core feature of personalized medicine. Following extensive progress on pediatric PK modeling, a greater emphasis now needs to be placed on PD modeling to understand age-related changes in drug effects. This paper discusses the principles of PKPD modeling in the context of pediatric drug development, summarizing how important PK parameters, such as clearance (CL), are scaled with size and age, and highlights a standardized method for CL scaling in children. One standard scaling method would facilitate comparison of PK parameters across multiple studies, thus increasing the utility of existing PK models and facilitating optimal design of new studies
- …