270 research outputs found

    Evaluation of WRF-Sfire Performance with Field Observations from the FireFlux experiment

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    This study uses in-situ measurements collected during the FireFlux field experiment to evaluate and improve the performance of coupled atmosphere-fire model WRF-Sfire. The simulation by WRF-Sfire of the experimental burn shows that WRF-Sfire is capable of providing realistic head fire rate-of-spread and the vertical temperature structure of the fire plume, and, up to 10 m above ground level, fire-induced surface flow and vertical velocities within the plume. The model captured the changes in wind speed and direction before, during, and after fire front passage, along with arrival times of wind speed, temperature, and updraft maximae, at the two instrumented flux towers used in FireFlux. The model overestimated vertical velocities and underestimated horizontal wind speeds measured at tower heights above the 10 m, and it is hypothesized that the limited model resolution over estimated the fire front depth, leading to too high a heat release and, subsequently, too strong an updraft. However, on the whole, WRF-Sfire fire plume behavior is consistent with the interpretation of FireFlux observations. The study suggests optimal experimental pre-planning, design, and execution of future field campaigns that are needed for further coupled atmosphere-fire model development and evaluation

    Common peroneal nerve palsy following total hip arthroplasty: prognostic factors for recovery.

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    BACKGROUND: Common peroneal nerve palsy, although rare, is a serious complication of total hip arthroplasty. Although several publications have dealt with the risk factors for peroneal nerve palsy, there is little literature regarding the time it takes for the nerve to recover and the factors that influence its recovery. The purpose of this study was to elucidate the clinical course of this injury and identify prognostic factors for recovery. METHODS: From January 2000 to December 2007, 7969 primary and 1601 revision total hip arthroplasties were performed at our institution. Common peroneal nerve palsy developed following thirty-one (0.32%) of these procedures. Thirty of these patients were evaluated by a neurologist at the time of diagnosis and at regular intervals thereafter. Univariate and multivariate regression analyses were performed to identify risk factors and prognostic factors for recovery. RESULTS: On average, patients who developed common peroneal nerve palsy were significantly younger (fifty-six years) than those who did not develop palsy (sixty-three years, p \u3c 0.05). Higher body mass index (BMI) was a negative prognostic factor for recovery from palsy (p \u3c 0.05). The palsy was incomplete in twenty-five of the thirty patients, and fourteen of these recovered fully at a mean of 10.3 months (range, 1.0 to 50.0 months). Three of the five patients with complete nerve palsy recovered fully at a mean of 14.5 months (range, 8.0 to 21.0 months). CONCLUSIONS: Only one-half of the patients in the study who developed common peroneal nerve palsy following total hip arthroplasty recovered fully. The mean time to recovery was approximately one year for partial peroneal palsy and one and one-half years for complete palsy. Obesity adversely influenced the nerve recovery

    A Case Study of Pseudo-Neuropathic Pseudogout

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    Background This interesting case highlights the clinical progression of a rare disease process and the important role of a multi-disciplinary team in achieving a diagnosis and successful management plan. Case Presentation A 76-year-old male with a history of coronary artery disease, hypertension and hyperlipidemia presented as an outpatient with left foot pain and swelling. He had spent a week bicycling in Colorado one month prior to presentation. The pain was initially localized to the plantar surface of his foot and progressed to involve the lateral and dorsal aspects of the foot, as well as his great toe. The pain was accompanied by swelling of the midfoot without erythema and he was unable to bear weight. His podiatrist prescribed Ibuprofen and a foot brace for empiric treatment of tendonitis. An outpatient MRI demonstrated extensive bony edema and synovial enhancement within the midfoot, as well as severe superficial edema and peroneal tendonitis with mild subluxation. The patient was sent to the emergency department to be evaluated for osteomyelitis

    Incorporating a canopy parameterization within a coupled fire-atmosphere model to improve a smoke simulation for a prescribed burn

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    Forecasting fire growth, plume rise and smoke impacts on air quality remains a challenging task. Wildland fires dynamically interact with the atmosphere, which can impact fire behavior, plume rises, and smoke dispersion. For understory fires, the fire propagation is driven by winds attenuated by the forest canopy. However, most numerical weather prediction models providing meteorological forcing for fire models are unable to resolve canopy winds. In this study, an improved canopy model parameterization was implemented within a coupled fire-atmosphere model (WRF-SFIRE) to simulate a prescribed burn within a forested plot. Simulations with and without a canopy wind model were generated to determine the sensitivity of fire growth, plume rise, and smoke dispersion to canopy effects on near-surface wind flow. Results presented here found strong linkages between the simulated fire rate of spread, heat release and smoke plume evolution. The standard WRF-SFIRE configuration, which uses a logarithmic interpolation to estimate sub-canopy winds, overestimated wind speeds (by a factor 2), fire growth rates and plume rise heights. WRF-SFIRE simulations that implemented a canopy model based on a non-dimensional wind profile, saw significant improvements in sub-canopy winds, fire growth rates and smoke dispersion when evaluated with observations

    Vectorial structure of a hard-edged-diffracted four-petal Gaussian beam in the far field

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    Based on the vector angular spectrum method and the stationary phase method and the fact that a circular aperture function can be expanded into a finite sum of complex Gaussian functions, the analytical vectorial structure of a four-petal Gaussian beam (FPGB) diffracted by a circular aperture is derived in the far field. The energy flux distributions and the diffraction effect introduced by the aperture are studied and illustrated graphically. Moreover, the influence of the f-parameter and the truncation parameter on the nonparaxiality is demonstrated in detail. In addition, the analytical formulas obtained in this paper can degenerate into un-apertured case when the truncation parameter tends to infinity. This work is beneficial to strengthen the understanding of vectorial properties of the FPGB diffracted by a circular aperture

    Common peroneal nerve palsy following total knee arthroplasty: prognostic factors and course of recovery.

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    Common peroneal nerve palsy (CPNP) is a serious complication following total knee arthroplasty (TKA). There is little information regarding the clinical course and prognostic factors for recovery. Between January 2000 and December 2008, 44 patients (0.53%) developed CPNP following TKA and were matched to 100 control patients based on year of surgery, type of surgery and surgeon. Regression analysis was performed to identify prognostic factors for recovery. A significant difference was seen in CPNP patients who were on average younger (62.1 years) and had higher BMI (34.5 kg/m(2)) than those who did not have nerve palsy (67.5 years and 31.8 kg/m(2), respectively). Only 37 patients with palsies could be followed, 32 (62.2%) had incomplete nerve palsy, twenty four (75%) of them fully recovered, while only 1 of patients with complete nerve palsy fully recovered. More severe initial injury was a negative prognostic factor for recovery of palsy (P\u3c0.03)

    Automated recognition of malignancy mentions in biomedical literature

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    BACKGROUND: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of interest. Automated information extraction procedures can assist in the acquisition and management of this knowledge. Previous efforts in biomedical text mining have focused primarily upon named entity recognition of well-defined molecular objects such as genes, but less work has been performed to identify disease-related objects and concepts. Furthermore, promise has been tempered by an inability to efficiently scale approaches in ways that minimize manual efforts and still perform with high accuracy. Here, we have applied a machine-learning approach previously successful for identifying molecular entities to a disease concept to determine if the underlying probabilistic model effectively generalizes to unrelated concepts with minimal manual intervention for model retraining. RESULTS: We developed a named entity recognizer (MTag), an entity tagger for recognizing clinical descriptions of malignancy presented in text. The application uses the machine-learning technique Conditional Random Fields with additional domain-specific features. MTag was tested with 1,010 training and 432 evaluation documents pertaining to cancer genomics. Overall, our experiments resulted in 0.85 precision, 0.83 recall, and 0.84 F-measure on the evaluation set. Compared with a baseline system using string matching of text with a neoplasm term list, MTag performed with a much higher recall rate (92.1% vs. 42.1% recall) and demonstrated the ability to learn new patterns. Application of MTag to all MEDLINE abstracts yielded the identification of 580,002 unique and 9,153,340 overall mentions of malignancy. Significantly, addition of an extensive lexicon of malignancy mentions as a feature set for extraction had minimal impact in performance. CONCLUSION: Together, these results suggest that the identification of disparate biomedical entity classes in free text may be achievable with high accuracy and only moderate additional effort for each new application domain
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