Low‐ dose Apatinib promotes vascular normalization and hypoxia reduction and sensitizes radiotherapy in lung cancer
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.5113
Abstract: Abnormal vascular network of tumor can create a hypoxic microenvironment, and reduce radiotherapy sensitivity. Normalization of tumor vasculature can be a new therapeutic strategy for sensitizing radiotherapy. This study aimed to explore the effect of… read more here.
Keywords: vascular normalization; lung cancer; radiotherapy; normalization ... See more keywords
Landmark‐guided region‐based spatial normalization for functional magnetic resonance imaging
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25865
Abstract: As the size of the neuroimaging cohorts being increased to address key questions in the field of cognitive neuroscience, cognitive aging, and neurodegenerative diseases, the accuracy of the spatial normalization as an essential preprocessing step… read more here.
Keywords: topology; region; spatial normalization; human brain ... See more keywords
A short note revisiting the concentration index: Does the normalization of the concentration index matter?
Sign Up to like & getrecommendations! Published in 2022 at "Health Economics"
DOI: 10.1002/hec.4515
Abstract: Abstract The concentration index, including its normalization, is prominently used to assess socioeconomic inequalities in health and health care. Wagstaff's and Erreygers' normalizations or corrections of the standard concentration index are the most suggested approaches… read more here.
Keywords: normalization; binary health; concentration; concentration index ... See more keywords
Considering whole‐body metabolism in hyperpolarized MRI through 13C breath analysis—An alternative way to quantification and normalization?
Sign Up to like & getrecommendations! Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29669
Abstract: Hyperpolarized [1‐13C]pyruvate MRI is an emerging clinical tool for metabolic imaging. It has the potential for absolute quantitative metabolic imaging. However, the method itself is not quantitative, limiting comparison of images across both time and… read more here.
Keywords: normalization; body metabolism; considering whole; whole body ... See more keywords
Tail‐Robust Quantile Normalization
Sign Up to like & getrecommendations! Published in 2020 at "PROTEOMICS"
DOI: 10.1002/pmic.202000068
Abstract: High‐throughput biological data—such as mass spectrometry (MS)‐based proteomics data—suffer from systematic non‐biological variance due to systematic errors. This hinders the estimation of “real” biological signals and, in turn, decreases the power of statistical tests and… read more here.
Keywords: intensity; robust quantile; normalization; tail robust ... See more keywords
Normalization of Tumor Vessels by Lenvatinib-Based Metallo-Nanodrugs Alleviates Hypoxia and Enhances Calreticulin-Mediated Immune Responses in Orthotopic HCC and Organoids.
Sign Up to like & getrecommendations! Published in 2023 at "Small"
DOI: 10.1002/smll.202207786
Abstract: Immunocheckpoint inhibitors combined with Lenvatinib is the first line treatment for hepatocellular carcinoma (HCC), but their potency is hampered by the low response rate and adverse events. Herein, a targeted therapeutic strategy through the coassembly… read more here.
Keywords: calreticulin mediated; metallo nanodrugs; orthotopic hcc; normalization ... See more keywords
Growth Rate Normalization Method to Assess Gravitropic Root Growth.
Sign Up to like & getrecommendations! Published in 2018 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-7747-5_15
Abstract: Time-lapse imaging of roots is highly suitable for depicting gravitropic growth behaviors. However, roots may show faster or slower bending kinetics when compared to control as a result of differences in overall root growth. Accordingly,… read more here.
Keywords: gravitropic; root growth; method; normalization ... See more keywords
Optimal inter-batch normalization method for GC/MS/MS-based targeted metabolomics with special attention to centrifugal concentration
Sign Up to like & getrecommendations! Published in 2019 at "Analytical and Bioanalytical Chemistry"
DOI: 10.1007/s00216-019-02073-w
Abstract: This study investigated the optimal inter-batch normalization method for gas chromatography/tandem mass spectrometry (GC/MS/MS)-based targeted metabolome analysis of rodent blood samples. The effect of centrifugal concentration on inter-batch variation was also investigated. Six serum samples… read more here.
Keywords: method; inter batch; batch; normalization ... See more keywords
T1 mapping of the liver and the spleen in patients with liver fibrosis—does normalization to the blood pool increase the predictive value?
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-07447-8
Abstract: Purpose To analyze whether the T1 relaxation time of the liver is a good predictor of significant liver fibrosis and whether normalization to the blood pool improves the predictive value. Methods This prospective study was… read more here.
Keywords: normalization blood; normalization; blood pool; liver fibrosis ... See more keywords
A systematic approach to normalization in probabilistic models
Sign Up to like & getrecommendations! Published in 2018 at "Information Retrieval"
DOI: 10.1007/s10791-018-9334-1
Abstract: Every information retrieval (IR) model embeds in its scoring function a form of term frequency (TF) quantification. The contribution of the term frequency is determined by the properties of the function of the chosen TF… read more here.
Keywords: term frequency; length; document; normalization ... See more keywords
SSN: Learning Sparse Switchable Normalization via SparsestMax
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01269-y
Abstract: Normalization method deals with parameters training of convolution neural networks (CNNs) in which there are often multiple convolution layers. Despite the fact that layers in CNN are not homogeneous in the role they play at… read more here.
Keywords: ssn; usepackage; switchable normalization; normalization ... See more keywords