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In [10], the impact of delivery via the Internet on the QoE of YouTube video-streaming is quantified, comparing also different QoE monitoring approaches and evaluating QoE estimation accuracy.
This study demonstrates clear benefits over traditional seagrass mapping and monitoring approaches, and provides a proof of concept for the use of trend and time-series analysis of remotely sensed seagrass products to benefit current endeavours in seagrass ecology.
The success of managing complex ecological systems depends largely on the strength of the monitoring approaches and the implementation of adaptive strategies to mitigate potential regime shifts [2].
Before recommending these interventions for widespread use, further large RCTs of sufficient rigour to detect differences in stillbirth and perinatal outcomes are needed to determine the utility and effectiveness of these monitoring approaches and interventions used after positive tests.
Furthermore, several monitoring approaches and predictive models were developed to provide accurate and timely information regarding the development of cyanobacterial bloom in the water bodies [ 10, 11]. Lee et al. [ 12] summarized various techniques that have been adopted for the control and mitigation of algal blooms in South Korea.
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Our study represents a significant improvement over previous methods of estimating long-term average ambient PM concentrations, including the nearest air pollutant monitor approach and citywide or countywide averaging.
Our models produced cross-validated R that were higher than the nearest-monitor approach, and our results indicate that unless there is considerable spatial structure in the exposure surface, a substantial amount of prediction accuracy may be lost when the nearest-monitor approach is used.
This paper addresses the potential knowledge gaps and impact of early detection and monitoring approaches on ZIKV epidemics and related arboviral infections steered towards effective prevention and smart response strategies.
We then present preventative and monitoring approaches from our institution and conclude by discussing possible mechanisms underlying these events.
The performance of calibration and monitoring approaches used by BaBar, CLEO and L3 experiments are presented.
With the increase in frequency of such blooms, various monitoring approaches, treatment processes, and prediction models have been developed in due course.
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