766 research outputs found

    Vulnerable Species in a Changing Climate: The Genomic Response of Antarctic Notothenioid Fishes to Predicted Oceanic Conditions as a Model of Physiological Plasticity and Adaptive Capability

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    In its fifth report in 2014 the IPCC reinforced the contribution of anthropogenic CO2 to global climate change predicting widespread and significant changes to the global climate over a relatively short time scale. The polar regions, including the Southern Ocean surrounding Antarctica, were identified as ecosystems that may experience the most rapid and severe changes. As the Southern Ocean is one of the coldest and most oceanographically stable regions on earth, the endemic fauna likely have no alternative habitats available for migration. Further compounding the challenge these species will face is the substantial degree of adaptation to the extreme cold and oxygen rich waters that may render these species particularly vulnerable to increasing temperatures and pCO2. The Perciform fishes of the suborder Notothenioidei dominate the fauna of the Southern Ocean. These fish have been relatively well studied under heat stress conditions, but only recently have research efforts begun to discern the potentially compounding effects of the multiple stressors, notably increased temperature and pCO2. This effort set out to analyze the genomic response of these fish to increased water temperature (4°C) and increased pCO2 levels (1000 μatm), and in doing so create a wealth of sequence data to serve as the foundation for future research efforts for three notothenioid species Trematomus bernacchii, Pagothenia borchgrevinki and Trematomus newnesi. By analyzing changes in gene expression under the multi-stressor condition on the transcriptomic, pathway and gene level, I was able to draw insight into the physiological plasticity and potential adaptability of these fish to changing climate conditions in the Southern Ocean. While all three species demonstrated a widespread and substantial response to the multi-stressor condition, these responses varied in timing, duration, intensity of response, and the biological pathways driving the response. T.bernacchii demonstrated a rapid and robust response that quickly returned to basal levels, P. borchgrevinki exhibited a more moderated response that persisted throughout all time periods, whereas T. newnesi exhibited the least dramatic response of the three. By further dissecting the details of each response I was able to suggest potential strengths and weakness within each species and discuss the potential impact on each species’ long term survivability

    Pycortex: an interactive surface visualizer for fMRI.

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    Surface visualizations of fMRI provide a comprehensive view of cortical activity. However, surface visualizations are difficult to generate and most common visualization techniques rely on unnecessary interpolation which limits the fidelity of the resulting maps. Furthermore, it is difficult to understand the relationship between flattened cortical surfaces and the underlying 3D anatomy using tools available currently. To address these problems we have developed pycortex, a Python toolbox for interactive surface mapping and visualization. Pycortex exploits the power of modern graphics cards to sample volumetric data on a per-pixel basis, allowing dense and accurate mapping of the voxel grid across the surface. Anatomical and functional information can be projected onto the cortical surface. The surface can be inflated and flattened interactively, aiding interpretation of the correspondence between the anatomical surface and the flattened cortical sheet. The output of pycortex can be viewed using WebGL, a technology compatible with modern web browsers. This allows complex fMRI surface maps to be distributed broadly online without requiring installation of complex software

    Spacecraft applications of advanced global positioning system technology

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    The purpose of this study was to evaluate potential uses of Global Positioning System (GPS) in spacecraft applications in the following areas: attitude control and tracking; structural control; traffic control; and time base definition (synchronization). Each of these functions are addressed. Also addressed are the hardware related issues concerning the application of GPS technology and comparisons are provided with alternative instrumentation methods for specific functions required for an advanced low earth orbit spacecraft

    Indications and recommended approach for surgical intervention of metastatic disease to the gallbladder

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    Metastatic disease to the gallbladder is unusual. The most common malignancy metastatic to the gallbladder is melanoma, followed by renal cell carcinoma (RCC) and breast cancer. Due to the unusual nature of the disease, there are no trials available for review. Thus, the management for these patients has been based on institutional experience and review of case series. The indications for surgical intervention for melanoma are metastatic disease discrete to the gallbladder and biliary symptoms, which are uncommon for melanoma, but might occur due to cystic duct obstruction culminating in cholecystitis. Laparoscopic cholecystectomy without a lymphadenectomy is emerging as the preferred approach for this metastatic deposit. The vast majority of patients with metastases to the gallbladder from RCC carry a good prognosis and a laparoscopic cholecystectomy should be considered. Patients with metastases to the gallbladder from the breast classically present with biliary symptoms and commonly undergo a laparoscopic cholecystectomy, which invariably demonstrates a deposit in the gallbladder from lobular breast cancer. In the present report, we review the indications for surgical intervention from various malignancies metastatic to the gallbladder and the current consensus for the laparoscopic approach from the diverse metastatic deposits to the gallbladder

    Visual Earth observation performance in the space environment. Human performance measurement 4: Flight experiments

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    A wide variety of secondary payloads have flown on the Space Transportation System (STS) since its first flight in the 1980's. These experiments have typically addressed specific issues unique to the zero-gravity environment. Additionally, the experiments use the experience and skills of the mission and payload specialist crew members to facilitate data collection and ensure successful completion. This paper presents the results of the Terra Scout experiment, which flew aboard STS-44 in November 1991. This unique Earth Observation experiment specifically required a career imagery analyst to operate the Spaceborne Direct-View Optical System (SpaDVOS), a folded optical path telescope system designed to mount inside the shuttle on the overhead aft flight deck windows. Binoculars and a small telescope were used as backup optics. Using his imagery background, coupled with extensive target and equipment training, the payload specialist was tasked with documenting the following: (1) the utility of the equipment; (2) his ability to acquire and track ground targets; (3) the level of detail he could discern; (4) the atmospheric conditions; and (5) other in-situ elements which contributed to or detracted from his ability to analyze targets. Special emphasis was placed on the utility of a manned platform for research and development of future spaceborne sensors. The results and lessons learned from Terra Scout will be addressed including human performance and equipment design issues

    Maturing Technologies for Stirling Space Power Generation

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    Stirling Radioisotope Power Systems (RPS) are being developed as an option to provide power on future space science missions where robotic spacecraft will orbit, flyby, land or rove. A Stirling Radioisotope Generator (SRG) could offer space missions a more efficient power system that uses one fourth of the nuclear fuel and decreases the thermal footprint of the current state of the art. The RPS Program Office, working in collaboration with the U.S. Department of Energy (DOE), manages projects to develop thermoelectric and dynamic power systems, including Stirling Radioisotope Generators (SRGs). The Stirling Cycle Technology Development (SCTD) Project, located at Glenn Research Center (GRC), is developing Stirling-based subsystems, including convertors and controllers. The SCTD Project also performs research that focuses on a wide variety of objectives, including increasing convertor temperature capability to enable new environments, improving system reliability or fault tolerance, reducing mass or size, and developing advanced concepts that are mission enabling. Research activity includes maturing subsystems, assemblies, and components to prepare them for infusion into future convertor and generator designs. The status of several technology development efforts are described here. As part of the maturation process, technologies are assessed for readiness in higher-level subsystems. To assess the readiness level of the Dual Convertor Controller (DCC), a Technology Readiness Assessment (TRA) was performed and the process and results are shown. Stirling technology research is being performed by the SCTD Project for NASA's RPS Program Office, where tasks focus on maturation of Stirling-based systems and subsystems for future space science missions

    Changes in Present and Future Circulation Types Frequency in Northwest Iberian Peninsula

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    The aim of the work described herein was to study projection scenarios in order to find changes in the synoptic variability of the northwest Iberian Peninsula in the 21st century. To this end, we investigated the changes in the frequency of the different circulation types computed for the study area using three different models used in the IPCC 4th assessment report. The circulation types were computed using the procedure known as Lamb circulation types. The control simulation for the late 20th century was evaluated objectively from the results obtained using data from the NCEP/NCAR reanalysis, as to evaluate the ability of the model to reproduce the present climate. We have compared not only seasonal mean sea level pressure fields but also the mean seasonal frequency of circulation types. The results for the end of the 21st century show a decrease in the frequency of cyclonic, W, and SW circulation types in the spring and summer months. This trend also appears in the autumn, with a concomitant increase in the anticyclonic types

    Dynamically and Statistically Downscaled Seasonal Simulations of Maximum Surface Air Temperature Over the Southeastern United States

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    Coarsely resolved surface air temperature (2 m height) seasonal integrations from the Florida State University/Center for Ocean-Atmospheric Prediction Studies Global Spectral Model (FSU/COAPS GSM) (~1.8º lon.-lat. (T63)) for the period of 1994 to 2002 (March through September each year) are downscaled to a fine spatial scale of ~20 km. Dynamical and statistical downscaling methods are applied for the southeastern United States region, covering Florida, Georgia, and Alabama. Dynamical downscaling is conducted by running the FSU/COAPS Nested Regional Spectral Model (NRSM), which is nested into the domain of the FSU/COAPS GSM. We additionally present a new statistical downscaling method. The rationale for the statistical approach is that clearer separation of prominent climate signals (e.g., seasonal cycle, intraseasonal, or interannual oscillations) in observation and GSM, respectively, over the training period can facilitate the identification of the statistical relationship in climate variability between two data sets. Cyclostationary Empirical Orthogonal Function (CSEOF) analysis and multiple regressions are trained with those data sets to extract their statistical relationship, which eventually leads to better prediction of regional climate from the large-scale simulations. Downscaled temperatures are compared with the FSU/COAPS GSM fields and observations. Downscaled seasonal anomalies exhibit strong agreement with observations and a reduction in bias relative to the direct GSM simulations. Interannual temperature change is also reasonably simulated at local grid points. A series of evaluations including mean absolute errors, anomaly correlations, frequency of extreme events, and categorical predictability reveal that both downscaling techniques can be reliably used for numerous seasonal climate applications
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