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Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.
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Electronics and Communications, Arab Academy for Science, Heliopolis, Cairo, 2033, Egypt.
Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epidermal growth factor receptor 2 (HER2) expression levels. While immunohistochemical techniques (IHC) are the gold standard for HER2 evaluation, their implementation can be resource-intensive and costly. To reduce these obstacles and expedite the procedure, we present an efficient deep-learning model that generates high-quality IHC-stained images directly from Hematoxylin and Eosin (H&E) stained images.
View Article and Find Full Text PDFC-parameter version of robust bounded one-class support vector classification.
Sci Rep
January 2025
College of Mathematics and Systems Science, Xinjiang University, Urumqi , 830046, China.
ν-one-class support vector classification (ν-OCSVC) has garnered significant attention for its remarkable performance in handling single-class classification and anomaly detection. Nonetheless, the model does not yield a unique decision boundary, and potentially compromises learning performance when the training data is contaminated by some outliers or mislabeled observations. This paper presents a novel C-parameter version of bounded one-class support vector classification (C-BOCSVC) to determine a unique decision boundary.
View Article and Find Full Text PDFThio-modified trianglimines, a novel group of chiral macrocyclic compounds of high structural dynamics.
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Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, Poznan, 61 614, Poland.
The embellishing of the macrocycle core with sulfur substituents of varied sterical requirements changes the structural dynamics of chiral, triangular polyimines. Despite their formal high symmetry, these compounds adopt diverse conformations, in which the macrocycle core represents a non-changeable unit. DFT calculations reveal that the mutual arrangement of sulfur-containing substituents is controlled mainly by sterical interactions.
View Article and Find Full Text PDFqPRF: A system to accelerate population receptive field modeling.
Neuroimage
January 2025
Division of Arts and Sciences, NYU Shanghai, 567 West Yangsi Road, Pudong New District, 200124, Shanghai, China; Center for Neural Science, New York University, 4 Washington Place, NY, 10003, NY, USA; NYU-ECNU Institute of Brain and Cognitive Science, 3663 Zhongshan Road North, Putuo District, 200062, Shanghai, China. Electronic address:
BOLD response can be fitted using the population receptive field (PRF) model to reveal how visual input is represented on the cortex (Dumoulin and Wandell, 2008). Fitting the PRF model costs considerable time, often requiring days to analyze BOLD signals for a small cohort of subjects. We introduce the qPRF ("quick PRF"), a system for accelerated PRF modeling that reduced the computation time by a factor ¿1,000 without losing goodness-of-fit when compared to another widely available PRF modeling package (Kay et al.
View Article and Find Full Text PDFRapid urbanization and escalating climate crises place cities at the critical juncture of environmental and public health action. Urban areas are home to more than half of the global population, contributing ~ 75% of global greenhouse gas emissions. Structured surveys were completed by 191 leaders in city governments and civil society from 118 cities in 52 countries (February-April 2024).
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