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Marine Carotenoid Fucoxanthin Possesses Anti-Metastasis Activity: Molecular Evidence
Published 2019-06-01Get full text
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Evaluation of B1 inhomogeneity effect on DCE-MRI data analysis of brain tumor patients at 3T
Published 2017-12-01Get full text
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143
Bioinformatics and Molecular Insights to Anti-Metastasis Activity of Triethylene Glycol Derivatives
Published 2020-07-01Get full text
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An environmental justice analysis of air pollution in India
Published 2023-10-01Get full text
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Identification of a new member of Mortaparib class of inhibitors that target mortalin and PARP1
Published 2022-09-01Get full text
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Virtual Labs Project: A Paradigm Shift in Internet-Based Remote Experimentation
Published 2013-01-01Get full text
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Clustering of Giant Virus-DNA Based on Variations in Local Entropy
Published 2014-05-01Get full text
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Catalyzing paradigm shifts in global waste Management: A case study of Saharanpur Smart city
Published 2024-04-01Get full text
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Higher limbic and basal ganglia volumes in surviving COVID-negative patients and the relations to fatigue
Published 2022-06-01Get full text
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Silver nanoparticle based multifunctional approach for combating COVID-19
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Analysis of Interrupted Rectangular Microchannel Heat Sink with High Aspect Ratio
Published 2017-01-01Get full text
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158
Towards Accurate Pupil Detection Based on Morphology and Hough Transform
Published 2020-05-01“…This method is implemented and tested on the Chinese Academy of Sciences (CASIA V4) iris image database 249 person and the IIT Delhi (IITD) iris database v1 using MATLAB 2017a. …”
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159
New trends in electric motors and selection for electric vehicle propulsion systems
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160
Multibiometric identification by using ear, face, and thermal face
Published 2018-05-01“…The face and thermal face data were taken from USTC NVIE Spontaneous Database, whereas the ear data were collected from IIT Delhi Ear Image Database. For each modality, three feature extraction methods are used and four different classifiers (multilayer perceptron, decision tree, support vector machines, and probabilistic neural network) are trained by using two fusion methods which are matching score level and feature level fusion. …”
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