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This study describes the development of an identification method that uses integrated microscopic analysis and real-time PCR based method to distinguish and estimate the abundance of pelagic calanoida nauplii, Neocalanus plumchrus, and to determine their phenology and ontogenetic vertical migration (OVM) in the Oyashio region.
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This paper proposes a wavelet-based method to distinguish between normal and disordered voices.
In this study we have validated a flow cytometry-based method to distinguish and to split the different cell populations originated when an original cell population was subjected to intrinsic apoptosis stimuli.
Recently, Saraç et al. [ 22] developed a supervised classification-based method to distinguish binary, co-complex and functional interactions in functional networks.
We employed a recombination-based method to distinguish strictly compensatory changes from changes that could have evolved even if the ligase gene had been retained.
We develop the mode sorting method to distinguish modes based on the reciprocity relation of the magneto-electro-elastic media.
This paper proposes a new method to distinguish power quality events based on the Histogram of Oriented Gradients (HOG) and Support Vector Machine (SVM).
Based on the obtained results, we propose a method to distinguish which regime the considered system falls in.
We will introduce a more refined method to distinguish between family subtypes based on psychosis dimension profiles in the relatives of schizophrenia patients.
The interval between MPNST development and diagnosis can be shortened with the use of FDG-PET, as it has emerged as an accurate method to distinguish NF from MPNST based on the glycolytic phenotype [ 26].
The main objective of this study is to evaluate an objective method to distinguish patients and healthy people, based on language networks mapped with fMRI, and by using a machine learning (ML) approach.
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