The Experts below are selected from a list of 54816 Experts worldwide ranked by ideXlab platform
Tony Carr - One of the best experts on this subject based on the ideXlab platform.
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when is Pus not Pus
Canadian Medical Association Journal, 2017Co-Authors: Tony CarrAbstract:There is perhaps a small but important error in the statement in the CMAJ article by Ajayi and Radhakrishnan on urinary tract infection in older adults in long-term care facilities: “Findings of bacteriuria or pyuria alone are insufficient to diagnose urinary tract infection; clinical symptoms
Matt Rice - One of the best experts on this subject based on the ideXlab platform.
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Visualizing 3D/4D environmental data using many-core graphics processing units (GPus) and multi-core central processing units (CPus)
Computers and Geosciences, 2013Co-Authors: Jing Li, Chaowei Yang, Yunfeng Jiang, Qunying Huang, Matt RiceAbstract:Visualizing 3D/4D environmental data is critical to understanding and predicting environmental phenomena for relevant decision making. This research explores how to best utilize graphics process units (GPus) and central processing units (CPus) collaboratively to speed up a generic geovisualization process. Taking the visualization of dust storms as an example, we developed a systematic 3D/4D geovisualization framework including preprocessing, coordinate transformation interpolation, and rendering. To compare the potential speedup of using GPus versus that of using CPus, we have implemented visualization components based on both multi-core CPus and many-core GPus. We found that (1) multi-core CPus and many-core GPus can improve the efficiency of mathematical calculations and rendering using multithreading techniques; (2) given the same amount of data, when increasing the size of blocks of GPus for coordinate transformation, the executing time of interpolation and rendering drops consistently after reaching a peak; (3) the best performances obtained by GPU-based implementations in all the three major processes, are usually faster than CPU-based implementations whereas the best performance of rendering with GPus is very close to that with CPus; and (4) as the GPU on-board memory limits the capabilities of processing large volume data, preprocessing data with CPus is necessary when visualizing large volume data which exceed the on-board memory of GPus. However, the efficiency may be significantly hampered by the relative high-latency of the data exchange between CPus and GPus. Therefore, visualization of median size 3D/4D environmental data using GPus is a better solution than that of using CPus. © 2013 Elsevier Ltd.
J W Loock - One of the best experts on this subject based on the ideXlab platform.
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quinsy treated by aspiration the volume of Pus at initial aspiration is an accurate predictor of the need for subsequent re aspiration
Clinical Otolaryngology, 2007Co-Authors: M Viljoen, J W LoockAbstract:Objective: The aim of this study was to determine an accurate indicator of the need for second aspiration of peritonsillar abscesses the day after initial aspiration. Setting: A tertiary otolaryngology care centre. Participants: Fifty patients aged between 11 and 49 years with suspected peritonsillar abscess. Study design: A prospective case series. Outcome measures: The potential indicators investigated included volume of Pus at initial aspiration and clinical indicators suggesting persistent Pus (dysphagia, odynophagia and trismus). The outcome measure was the presence of Pus at subsequent aspiration. Results: A linear correlation was found between volume of first aspirate and presence of Pus on re-aspiration (r = 0.9753). A volume of Pus <3 mL on initial aspiration accurately predicted <0.5 mL Pus on re-aspiration. Sixty-four per cent (32) patients had 3 mL or more Pus on initial aspiration and in all there was at least 1 mL or more Pus on second aspiration. Clinical indicators correlated less well, with a average coefficient on first aspiration of 0.62 and on second aspiration of 0.35. Conclusion: The volume of Pus on initial aspiration is a very reliable indicator in assessing the need for re-aspiration of peritonsillar abscesses. If 3 mL or more of Pus are aspirated on the first occasion these patients should be seen the next day and have a further aspiration. Clinical symptoms and signs are not useful indicators.
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Quinsy treated by aspiration: the volume of Pus at initial aspiration is an accurate predictor of the need for subsequent re‐aspiration
Clinical Otolaryngology, 2007Co-Authors: M Viljoen, J W LoockAbstract:Objective: The aim of this study was to determine an accurate indicator of the need for second aspiration of peritonsillar abscesses the day after initial aspiration. Setting: A tertiary otolaryngology care centre. Participants: Fifty patients aged between 11 and 49 years with suspected peritonsillar abscess. Study design: A prospective case series. Outcome measures: The potential indicators investigated included volume of Pus at initial aspiration and clinical indicators suggesting persistent Pus (dysphagia, odynophagia and trismus). The outcome measure was the presence of Pus at subsequent aspiration. Results: A linear correlation was found between volume of first aspirate and presence of Pus on re-aspiration (r = 0.9753). A volume of Pus
Jing Li - One of the best experts on this subject based on the ideXlab platform.
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Visualizing 3D/4D environmental data using many-core graphics processing units (GPus) and multi-core central processing units (CPus)
Computers and Geosciences, 2013Co-Authors: Jing Li, Chaowei Yang, Yunfeng Jiang, Qunying Huang, Matt RiceAbstract:Visualizing 3D/4D environmental data is critical to understanding and predicting environmental phenomena for relevant decision making. This research explores how to best utilize graphics process units (GPus) and central processing units (CPus) collaboratively to speed up a generic geovisualization process. Taking the visualization of dust storms as an example, we developed a systematic 3D/4D geovisualization framework including preprocessing, coordinate transformation interpolation, and rendering. To compare the potential speedup of using GPus versus that of using CPus, we have implemented visualization components based on both multi-core CPus and many-core GPus. We found that (1) multi-core CPus and many-core GPus can improve the efficiency of mathematical calculations and rendering using multithreading techniques; (2) given the same amount of data, when increasing the size of blocks of GPus for coordinate transformation, the executing time of interpolation and rendering drops consistently after reaching a peak; (3) the best performances obtained by GPU-based implementations in all the three major processes, are usually faster than CPU-based implementations whereas the best performance of rendering with GPus is very close to that with CPus; and (4) as the GPU on-board memory limits the capabilities of processing large volume data, preprocessing data with CPus is necessary when visualizing large volume data which exceed the on-board memory of GPus. However, the efficiency may be significantly hampered by the relative high-latency of the data exchange between CPus and GPus. Therefore, visualization of median size 3D/4D environmental data using GPus is a better solution than that of using CPus. © 2013 Elsevier Ltd.
Kuang-hung Chiang - One of the best experts on this subject based on the ideXlab platform.
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An efficient motion vector prediction method for avoiding AMVP data dependency for HEVC
2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014Co-Authors: Gwo-long Li, Chuen-ching Wang, Kuang-hung ChiangAbstract:To achieve higher coding efficiency, the latest video coding standard called High Efficiency Video Coding (HEVC) has adopted the mechanism of Advanced Motion Vector Prediction (AMVP) to further improve the accuracy of motion vector predictor. However, the adoption of AMVP significantly increases the hardware realization overhead as well as the data access bandwidth requirements. In addition, the dependency between different coding units (CUs) or prediction units (Pus) for predicting AMVP also noticeably degrades the overall hardware coding throughput. To deal with this problem, this paper proposes an efficient motion vector prediction method for avoiding AMVP data dependency. By modeling the relationship between motion vector predictors of largest coding unit (LCU) and other small CU and PU sizes, the motion vectors of small CUs and Pus are estimated directly from the motion vectors of LCU. Furthermore, the predicted motion vectors of small CUs and Pus are also used to pre-fetch the corresponding reference data from external memory in advanced so that the data access time can be hided. Simulation results demonstrate that the proposed motion vector prediction method can achieve at least 53.8% coding throughput improvement with only 1.04% BD-rate increasing when compared to direct AMVP realization.
