Results 51 to 60 of about 394,445 (282)

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Reliable Feature Matching for Spherical Images via Local Geometric Rectification and Learned Descriptor

Remote Sensing, 2023
Spherical images have the advantage of recording full scenes using only one camera exposure and have been becoming an important data source for 3D reconstruction.
San Jiang, Junhuan Liu, Yaxin Li, Duojie Weng, Wu Chen   +4 more
doaj   +1 more source

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications

, 2019
Convolutional Neural Networks (CNNs) are a cornerstone of the Deep Learning toolbox and have led to many breakthroughs in Artificial Intelligence. These networks have mostly been developed for regular Euclidean domains such as those supporting images ...
Defferrard, Michaël, Kacprzak, Tomasz, Perraudin, Nathanaël, Sgier, Raphael   +3 more
core   +1 more source

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai, Yoshitaka Kurihara, Fumi Yamauchi, Hiromi Hosoya, Takeshi Saito   +4 more
wiley   +1 more source

Sparse Representation of Deformable 3D Organs with Spherical Harmonics and Structured Dictionary

International Journal of Biomedical Imaging, 2011
This paper proposed a novel algorithm to sparsely represent a deformable surface (SRDS) with low dimensionality based on spherical harmonic decomposition (SHD) and orthogonal subspace pursuit (OSP).
Dan Wang, Ahmed H. Tewfik, Yingchun Zhang, Yunhe Shen   +3 more
doaj   +1 more source

A Machine Learning Approach Using Principal Component Analysis and Cubic Spherical Neutrosophic Sets for MCDM [PDF]

Neutrosophic Sets and Systems
This study introduces two novel aggregation operators, namely the cubic spherical neutrosophic weighted arithmetic operator and the cubic spherical neutrosophic weighted geometric operator, to address multi-criteria decision-making problems under ...
S. Gomathi, A. Kavitha, R. Ramesh, E. Karuppusamy, L. Meenachi   +4 more
doaj   +1 more source

Tensor series expansion of a spherical function for the use in constitutive theory of materials containing orientable particles; pp 73-92 [PDF]

Proceedings of the Estonian Academy of Sciences, 2018
This paper presents a didactical introduction to a tensor series expansion of a spherical function for the use in constitutive theory of materials containing orientable particles. In several application areas a function of two angles, e.g. an orientation
Heiko Herrmann, Miriam Beddig
doaj   +1 more source

Spherical harmonics coeffcients for ligand-based virtual screening of cyclooxygenase inhibitors [PDF]

, 2011
Background: Molecular descriptors are essential for many applications in computational chemistry, such as ligand-based similarity searching. Spherical harmonics have previously been suggested as comprehensive descriptors of molecular structure and ...
Angioni, Carlo Federico, Birod, Kerstin, Geppert, Tim, Grösch, Sabine, Rupp, Matthias, Schneider, Gisbert (Prof. Dr.), Schneider, Petra, Wang, Quan   +7 more
core  

Spherical Covariance Representations

Covariance representations are developed for the uniform distributions on the Euclidean spheres in terms of spherical gradients and Hessians. They are applied to derive a number of Sobolev type inequalities and to recover and refine the concentration of measure phenomenon, including second order concentration inequalities.
Bobkov, Sergey G., Duggal, Devraj
openaire   +3 more sources