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This naturally provides opportunities for data aggregation utilizing multiple wireless interfaces simultaneously to enhance device and network performance.
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In our assays, chronic exposure utilizes a 5 × concentration for neurodegeneration assays and 20 × concentration for autophagy and mitochondrial morphology, while semi-acute soaking exposure associated with pathogenic protein aggregation utilizes 10 20 × concentrations.
The aggregation utilizes neighboring predictions to perform averaging, to find maximal and minimal prediction value/probability and to analyze local SS conformations, which helps the classifier to find longer stretches of disordered residues.
The aggregation procedures utilized by Gwartney and Lawson in developing their index have changed over time and other scholars have promoted alternative methods.
The automatic ARIMA modeling-based data aggregation scheme utilizes ARIMA model to predict the data of next several periods at both ordinary sensors and aggregators based on the same amount of recently sensed values.
Two multi-objective optimization methods including multi-objective particle swarm optimization (MOPSO) and weighted aggregation are utilized to generate the Pareto fronts which are made up of Pareto-optimal solutions.
To investigate the effects of CLU and diflunisal on the steps of TTR unfolding and aggregation, we utilized rTTR, wt and two variants.
To characterize the detailed mechanistic links between the IIS and toxic protein aggregation, we utilized transgenic worms that express the human Aβ1 42 minigene driven by a muscle specific promoter (Aβ worms) (Link, 1995), resulting in muscular dysfunction and age-dependent progressive paralysis of the worm population.
Therefore, nanomaterials need to be designed rationally while utilizing aggregation phenomenon for biomedical applications with their potential stability and toxicity in count.
As a future work, we would like to improve our proposed data aggregation scheme by utilizing spatial and temporal data correlation characteristics together.
Our objective is to maximize the network lifetime by utilizing data aggregation and in-network processing techniques.
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