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http://dx.doi.org/10.1177/0706743717717253 | DOI Listing |
J Stat Theory Pract
September 2024
Statistics Online Computational Resource, University of Michigan, 426 North Ingalls Str, Ann Arbor, Michigan 48109-2003.
In this paper, we propose a novel deep neural network (DNN) architecture with fractal structure and attention blocks. The new method is tested to identify and segment 2D and 3D brain tumor masks in normal and pathological neuroimaging data. To circumvent the problem of limited 3D volumetric datasets with raw and ground truth tumor masks, we utilized data augmentation using affine transformations to significantly expand the training data prior to estimating the network model parameters.
View Article and Find Full Text PDFJ Chem Theory Comput
December 2024
Changping Laboratory, No. 28 Life Science Park Rd., Beijing 102206, China.
Accurate modeling of host-guest systems is challenging in modern computational chemistry. It requires intermolecular interaction patterns to be correctly described and, more importantly, the dynamic behaviors of macrocyclic hosts to be accurately modeled. Pillar[]arenes as a crucial family of macrocycles play a critical role in host-guest chemistry and biomedical applications.
View Article and Find Full Text PDFCancer Causes Control
December 2024
Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
The Surveillance Epidemiology and End Results (SEER) registry incorporates laterality, histology, latency, and topography to identify second primary breast cancers. Contralateral tumors are classified as second primaries, but ipsilaterals are subject to additional inclusion criteria that increase specificity but may induce biases. It is important to understand how classification methods affect accuracy of second tumor classification.
View Article and Find Full Text PDFBMC Res Notes
December 2024
COPC Research Unit, Faculty of Health Sciences, University of Pretoria, Pretoria, 0002, South Africa.
Objective: Prior research has shown strong evidence of spatial clustering of tuberculosis across a range of contexts. Identifying the spatial patterning of infectious diseases such as tuberculosis is crucial as it allows for targeted intervention strategies, directing healthcare resources efficiently to areas where tuberculosis incidence is concentrated. This is especially true for low- and middle-income countries that typically experience greater resource constraints relative to their Global North counterparts.
View Article and Find Full Text PDFACS EST Air
December 2024
McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130-4899, United States.
Air quality management benefits from an in-depth understanding of the emissions associated with, and composition of, local PM concentrations. Here, we investigate the changing role of biomass burning emissions to North American PM exposure by combining multiple satellite-, ground-, and simulation-based data sets biweekly at a 0.01° × 0.
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