114 research outputs found

    Research on cancer prevention, detection and management in low- and medium-income countries

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    The burden of cancer in low- and medium-income countries (LMIC) is expected to increase in the next decades. The application of current knowledge and results of research in key areas would contribute to limit the impact of this phenomenon. Opportunities for research on cancer prevention in LMIC include investigating specific circumstances of exposure to known carcinogens and to agents which are not prevalent in other regions, as well as interactions among carcinogens and between genetic and environmental factors. Early detection both by screening and early clinical diagnosis represents an important component of cancer control in LMIC. Research has been carried out to identify effective and sustainable approaches for early detection of cervical cancer through human papillomavirus testing and visual tests and of oral cancer through visual inspection. For other important neoplasms such as breast cancer, on the other hand, no effective low-cost screening methods are currently available. Downstaging represents a potentially important approach for cancer control and a priority area for future research. Studies addressing the efficacy of treatment protocols, country-specific cost-effectiveness of various interventions and the clinical utility and cost-effectiveness of innovative heath care and communication technologies represent the priority for clinical cancer research. © The Author 2010. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved

    Pressure fluctuations in centrifugal compressor diffusers

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    The unstable flow phenomenon like rotating stall and surge in centrifugal compressors occur at very low flow rates. These would cause unduly large vibrations in the turbo- machinery components and results in mechanical failure. It is important to detect this phenomenon and avoid it by means of early warning systems. An attempt has been made in this paper to study the pressure fluctuations using high frequency miniature transducers in vane and vaneless diffusers of a centrifugal compressor. The unstable nature of the flow is characterized. The observation from the measurements indicate the pressure fluctuations in the vane diffusers are getting amplified and carried to the exit of the diffuser whereas in the case of vaneless diffuser such a phenomena is not observed. The flow near the leading edge of diffuser plays an important role in diffuser performance. The unsteady pressure fluctuations in the diffuser are characterized in terms of instability parameter at various locations in the diffuser. The location where such an instability parameter is sensitive to the flow coefficient is identified as the diffuser throat. Through this instability parameter it is possible to provide early warning just before compressor goes into stall. (Author

    Correction: PARP targeted Auger emitter therapy with [I-125]PARPi-01 for triple-negative breast cancer

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    Following publication of the original article, it came to the authors’ attention that the Author Contributions section was partly incorrect and that the family name of the first author had been misspelled as ‘Sankaranarayana’ (instead of ‘Sankaranarayanan’). The article has since been corrected; please refer to the now-corrected article for the correct Authors Contributions information.</p

    STATEMENT BY AUTHOR

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    partial fulfillment of requirements for an advanced degree at The University of Arizona and is deposited in the University Library to be made available to borrowers under rules of the Library. Brief quotations from this thesis are allowable without special permission, provided that accurate acknowledgment of the source is made. Requests for per-mission for extended quotation from or reproduction of this manuscript in whole or in part may be granted by the head of the major department or the Dean of the Graduate College when in his or her judgement the proposed use of the material is in the interests of scholarship. In all other instances, however, permission must be obtained from the author. SIGNED

    On multiplicative functions with mean-value close to −1 on primes

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    In [5], the first author and A. Sankaranarayanan established an upper bound for the sum ∑n≤xf(n), where f(n) is a multiplicative function for which the sum ∑p∈If(p)p−it is small for certain intervals I. In this paper we consider functions f(p), for which |∑p∈If(p)p−it+∫I[Formula presented]du| is small

    Wireless Sensor Platform for Sporting Applications

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    With Wireless Sensors widely used in various domains like home automation, industrial monitoring there is a market urge to deploy the wireless sensors in sporting applications. By deploying wireless sensors in sports, various dimensions of use-case scenarios become obvious which include monitoring sports players to help assess their fitness levels during training sessions and during play, enhance game strategy and provide TV broadcasters with lucrative statistics for the audience. As a first step to realize these use-cases, a platform to create such applications is needed to rapidly prototype devices as a proof of concept. However, to monitor professional sports players and to help make scientific analysis, a deluge of information is needed with less error margin. In this thesis, a wireless sensor platform is designed and developed, customized for creating prototypes of nodes for the sports players. Multiple gateways can be used along the boundary of the play-field to cover the entire playfield and with the mobile sensor nodes making hand-off between the gateways based on their proximity. A time-sharing mechanism is used by the nodes to gain access to the channel and is centralized at the gateway. The gateway provides authentication to which sensor node can transmit data in a round-robin manner. Experimental results show that the packet losses are around 1% with varying cases explaining that only one node communicate with the gateway at any point of time. One of the major drawbacks of such time-slotted protocols is the latency due to the failed nodes and in this protocol a mechanism is devised to mitigate this latency. The net data-rate is also enhanced by transmitting multiple packets in a time-compacted slot without linearly increasing the slot-width.Embedded SoftwareComputer ScienceElectrical Engineering, Mathematics and Computer Scienc

    Application of exergy analysis in the polyolefin industry

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    This thesis demonstrates how the principles of exergy analysis can be applied to pinpoint the origins of process inefficiencies in two polyolefin processes, namely the DSM high pressure tubular process and the UCC gas phase process. Exergy analysis is used as a tool to synthesize process improvements, which are then technologically evaluated. Process improvements include the use of heat pumps, recycle of PE in the extruder and an alternative to an extruder to reduce exergy consumption. It is also demonstrated how exergy analysis can be used to choose process parameters resulting in the lowest exergy loss for the transportation of a PE melt and the determination of an optimum approach temperature in an extruder.Applied SciencesApplied Thermodynamics and Phase EquilibriaPolyolefin

    Qualitative Evaluation of Tracking Systems: A Model based approach

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    Object Tracking has been a very active area in the field of C omputer Vision. Over the years, a variety of approaches have been put forth to solve this problem and though many of them have demonstrate considerable success none of them have been completely successful. With more methods being written each day, the evaluation of such systems becomes a very important task. If an evaluation system exists that is able to point out specific flaws in the stage of development, it can lead to a very robust and improved algorithm. This work attempts to create such an evaluation framework. Given an algorithm that detects people and simultaneously tracks them, we evaluate its output by considering the complexity of the input scene. Some videos used for the evaluation are recorded using the Kinect sensor and a benchmark dataset from the PETS workshop is also used. To analyze the performance of the tracking system,the reasons due to which the algorithm might fail are investigated and quantified over the entire video sequence. A set of features called Scene C omplexity Measures are obtained for each input frame. The variability in the algorithm performance is modeled by these complexity measures using various regression models. From the regression statistics, we show that we can compare the performance of two different algorithms and also quantify the relative influence of the scene complexity measures on a given algorithm.Media and Knowledge EngineeringComputer ScienceElectrical Engineering, Mathematics and Computer Scienc
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