56 research outputs found
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Comparison of two commercial detector arrays for RapidArc quality assurance
Radiation therapy is used in approximately half of all cancer treatments. The rapid advances in radiation therapy have led to techniques that are much more complex and therefore must be more carefully assessed for safety and efficacy. Accurate quality assurance methods must be implemented to provide patient safety and confidence in treatment efficacy. RapidArc is a relatively new version of Intensity Modulated Radiation Therapy (IMRT) which concomitantly fluctuates dose rate and gantry speed while dynamically altering the treatment field size. This array of electronic and mechanical variables increases the potential for errors. This examines the ability of two commercially available quality assurance devices to detect errors in five RapidArc treatment plans.
The ArcCHECK (Sun Nuclear Inc.) and the 2D-ARRAY seven29 with Octavius phantom (PTW) were tested. The ArcCHECK is a hollow cylindrical
phantom with diodes placed in a spiral array. The PTW device is a flat panel of ion chambers positioned within an octagonal phantom. Both devices were tested for linearity over a range of 1-300 MU of 6 MV photons delivered via a static 10x10 cmÂČ field. To assess the sensitivity of the devices in a treatment scenario, errors were introduced including couch rotations, gantry position errors and shifts in the multi-leaf collimator (MLC). Couch rotations of 0.5°-5° were induced and unaltered treatment plans were then delivered to the two devices. Errors in gantry rotation and MLC leaf positions were introduced via a Matlab program that modifies existing DICOM treatment files in a predetermined manner. Gantry errors ranged from 0.5°-5°. MLC errors included systematic shifts, systematic opening and closing and random leaf errors of 10% or 20%. The magnitude of MLC errors ranged from 0.25-5mm. Results were analyzed using the gamma analysis method.
Both devices demonstrated linearity within 1% for a static 10x10 cmÂČ field. The ArcCHECK detected a couch rotation of 2° or less in all plans and the PTW detected a couch rotation of 4° or less in the frontal plane and only detected an error in a head and neck plan when measured in the sagittal plane. However, both devices responded with less sensitivity when subjected to gantry rotation errors. The ArcCHECK was more reliable at detecting MLC errors and demonstrated an overall higher sensitivity to errors than the PTW system. A study of the effect of these errors on dose distribution in tumor treatment volumes and organs at risk would be a logical next step
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Results of the third Marine Ice Sheet Model Intercomparison Project (MISMIP+)
We present the result of the third Marine Ice Sheet Model Intercomparison Project, MISMIP+. MISMIP+ is intended to be a benchmark for ice-flow models which include fast sliding marine ice streams and floating ice shelves and in particular a treatment of viscous stress that is sufficient to model buttressing, where upstream ice flow is restrained by a downstream ice shelf. A set of idealized experiments first tests that models are able to maintain a steady state with the grounding line located on a retrograde slope due to buttressing and then explore scenarios where a reduction in that buttressing causes ice stream acceleration, thinning, and grounding line retreat. The majority of participating models passed the first test and then produced similar responses to the loss of buttressing. We find that the most important distinction between models in this particular type of simulation is in the treatment of sliding at the bed, with other distinctions - notably the difference between the simpler and more complete treatments of englacial stress but also the differences between numerical methods - taking a secondary role. © 2020 Wolters Kluwer Medknow Publications. All rights reserved
Results of the third Marine Ice Sheet Model Intercomparison Project (MISMIP+)
We present the result of the third Marine Ice Sheet Model Intercomparison Project, MISMIP+. MISMIP+ is intended to be a benchmark for ice-flow models which include fast sliding marine ice streams and floating ice shelves and in particular a treatment of viscous stress that is sufficient to model buttressing, where upstream ice flow is restrained by a downstream ice shelf. A set of idealized experiments first tests that models are able to maintain a steady state with the grounding line located on a retrograde slope due to buttressing and then explore scenarios where a reduction in that buttressing causes ice stream acceleration, thinning, and grounding line retreat. The majority of participating models passed the first test and then produced similar responses to the loss of buttressing. We find that the most important distinction between models in this particular type of simulation is in the treatment of sliding at the bed, with other distinctions â notably the difference between the simpler and more complete treatments of englacial stress but also the differences between numerical methods â taking a secondary role
Characterization of Reactive Organometallic Species via MicroED
Here we apply microcrystal electron diffraction (MicroED) to the structural determination of transition-metal complexes. We find that the simultaneous use of 300 keV electrons, very low electron doses, and an ultrasensitive camera allows for the collection of data without cryogenic cooling of the stage. This technique reveals the first crystal structures of the classic zirconocene hydride, colloquially known as âSchwartzâs reagentâ, a novel Pd(II) complex not amenable to solution-state NMR or X-ray crystallography, and five other paramagnetic and diamagnetic transition-metal complexes
Characterization of Reactive Organometallic Species via MicroED
Here we apply microcrystal electron diffraction (MicroED) to the structural determination of transition-metal complexes. We find that the simultaneous use of 300 keV electrons, very low electron doses, and an ultrasensitive camera allows for the collection of data without cryogenic cooling of the stage. This technique reveals the first crystal structures of the classic zirconocene hydride, colloquially known as âSchwartzâs reagentâ, a novel Pd(II) complex not amenable to solution-state NMR or X-ray crystallography, and five other paramagnetic and diamagnetic transition-metal complexes
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Future Sea Level Change Under Coupled Model Intercomparison Project Phase 5 and Phase 6 Scenarios From the Greenland and Antarctic Ice Sheets
Projections of the sea level contribution from the Greenland and Antarctic ice sheets (GrIS and AIS) rely on atmospheric and oceanic drivers obtained from climate models. The Earth System Models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6) generally project greater future warming compared with the previous Coupled Model Intercomparison Project phase 5 (CMIP5) effort. Here we use four CMIP6 models and a selection of CMIP5 models to force multiple ice sheet models as part of the Ice Sheet Model Intercomparison Project for CMIP6 (ISMIP6). We find that the projected sea level contribution at 2100 from the ice sheet model ensemble under the CMIP6 scenarios falls within the CMIP5 range for the Antarctic ice sheet but is significantly increased for Greenland. Warmer atmosphere in CMIP6 models results in higher Greenland mass loss due to surface melt. For Antarctica, CMIP6 forcing is similar to CMIP5 and mass gain from increased snowfall counteracts increased loss due to ocean warming
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Insights on the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
The Antarctic Ice Sheet represents the largest source of uncertainty in future sea level rise projections, with a contribution to sea level by 2100 ranging from â5 to 43âcm of sea level equivalent under high carbon emission scenarios estimated by the recent Ice Sheet Model Intercomparison for CMIP6 (ISMIP6). ISMIP6 highlighted the different behaviors of the East and West Antarctic ice sheets, as well as the possible role of increased surface mass balance in offsetting the dynamic ice loss in response to changing oceanic conditions in ice shelf cavities. However, the detailed contribution of individual glaciers, as well as the partitioning of uncertainty associated with this ensemble, have not yet been investigated. Here, we analyze the ISMIP6 results for high carbon emission scenarios, focusing on key glaciers around the Antarctic Ice Sheet, and we quantify their projected dynamic mass loss, defined here as mass loss through increased ice discharge into the ocean in response to changing oceanic conditions. We highlight glaciers contributing the most to sea level rise, as well as their vulnerability to changes in oceanic conditions. We then investigate the different sources of uncertainty and their relative role in projections, for the entire continent and for key individual glaciers. We show that, in addition to Thwaites and Pine Island glaciers in West Antarctica, Totten and Moscow University glaciers in East Antarctica present comparable future dynamic mass loss and high sensitivity to ice shelf basal melt. The overall uncertainty in additional dynamic mass loss in response to changing oceanic conditions, compared to a scenario with constant oceanic conditions, is dominated by the choice of ice sheet model, accounting for 52â% of the total uncertainty of the Antarctic dynamic mass loss in 2100. Its relative role for the most dynamic glaciers varies between 14â% for MacAyeal and Whillans ice streams and 56â% for Pine Island Glacier at the end of the century. The uncertainty associated with the choice of climate model increases over time and reaches 13â% of the uncertainty by 2100 for the Antarctic Ice Sheet but varies between 4â% for Thwaites Glacier and 53â% for Whillans Ice Stream. The uncertainty associated with the iceâclimate interaction, which captures different treatments of oceanic forcings such as the choice of melt parameterization, its calibration, and simulated ice shelf geometries, accounts for 22â% of the uncertainty at the ice sheet scale but reaches 36â% and 39â% for Institute Ice Stream and Thwaites Glacier, respectively, by 2100. Overall, this study helps inform future research by highlighting the sectors of the ice sheet most vulnerable to oceanic warming over the 21st century and by quantifying the main sources of uncertainty
Insights into the vulnerability of Antarctic glaciers from the ISMIP6 ice sheet model ensemble and associated uncertainty
The Antarctic Ice Sheet represents the largest source of uncertainty in future sea level rise projections, with a contribution to sea level by 2100 ranging from â5 to 43 cm of sea level equivalent under high carbon emission scenarios estimated by the recent Ice Sheet Model Intercomparison for CMIP6 (ISMIP6). ISMIP6 highlighted the different behaviors of the East and West Antarctic ice sheets, as well as the possible role of increased surface mass balance in offsetting the dynamic ice loss in response to changing oceanic conditions in ice shelf cavities. However, the detailed contribution of individual glaciers, as well as the partitioning of uncertainty associated with this ensemble, have not yet been investigated. Here, we analyze the ISMIP6 results for high carbon emission scenarios, focusing on key glaciers around the Antarctic Ice Sheet, and we quantify their projected dynamic mass loss, defined here as mass loss through increased ice discharge into the ocean in response to changing oceanic conditions. We highlight glaciers contributing the most to sea level rise, as well as their vulnerability to changes in oceanic conditions. We then investigate the different sources of uncertainty and their relative role in projections, for the entire continent and for key individual glaciers. We show that, in addition to Thwaites and Pine Island glaciers in West Antarctica, Totten and Moscow University glaciers in East Antarctica present comparable future dynamic mass loss and high sensitivity to ice shelf basal melt. The overall uncertainty in additional dynamic mass loss in response to changing oceanic conditions, compared to a scenario with constant oceanic conditions, is dominated by the choice of ice sheet model, accounting for 52 % of the total uncertainty of the Antarctic dynamic mass loss in 2100. Its relative role for the most dynamic glaciers varies between 14 % for MacAyeal and Whillans ice streams and 56 % for Pine Island Glacier at the end of the century. The uncertainty associated with the choice of climate model increases over time and reaches 13 % of the uncertainty by 2100 for the Antarctic Ice Sheet but varies between 4 % for Thwaites Glacier and 53 % for Whillans Ice Stream. The uncertainty associated with the iceâclimate interaction, which captures different treatments of oceanic forcings such as the choice of melt parameterization, its calibration, and simulated ice shelf geometries, accounts for 22 % of the uncertainty at the ice sheet scale but reaches 36 % and 39 % for Institute Ice Stream and Thwaites Glacier, respectively, by 2100. Overall, this study helps inform future research by highlighting the sectors of the ice sheet most vulnerable to oceanic warming over the 21st century and by quantifying the main sources of uncertainty
Home Range of the Esox lucius
Student paper, EEB 4825, 2010The North American Northern Pike, Esox Lucius, occurs in clear vegetated lakes,
quiet pools and backwaters of creeks and small to large rivers. E. Lucius is usually
solitary and highly territorial and is distinguished by its long, flat, 'duck-bill' snout, and the rearward position of its dorsal and anal fins. E. lucius is a highly popular and aggressive gamefish, the Northern Pike is one of the most sought-after species. Pike are insatiable eaters, and are easily caught due to their set of razor-sharp teeth and strong bite
(fishbase.org 2010).
The E. lucius choose to hunt their prey using a âhunt and waitâ style of predation.
This will usually contribute to their relatively inactive lifestyle, where they stay in a fairly small home range and remain fairly inactive. However, E. lucius has been documented to be more active under low light conditions.
The activity of E. lucius will be monitored at various times throughout two weeks
at random times using activity/mortality transmitters. With these it will be able to tell which times throughout the day the subjects are most or least active. The signal will be a very fast chirp for mortality, slow for inactivity, and irregular for activity.Asay, Matthew. (2011). Home Range of the Esox lucius. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/99654
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