Unavoidable parallel minors of regular matroids

This is the post-print version of the Article - Copyright @ 2011 ElsevierWe prove that, for each positive integer k, every sufficiently large 3-connected regular matroid has a parallel minor isomorphic to M (K_{3,k}), M(W_k), M(K_k), the cycle matroid of the graph obtained from K_{2,k} by adding paths through the vertices of each vertex class, or the cycle matroid of the graph obtained from K_{3,k} by adding a complete graph on the vertex class with three vertices.This study is partially supported by a grant from the National Security Agency

Benzocycloheptynedicobalt complexes by intramolecular Nicholas reactions

Lewis acid mediated intramolecular Nicholas reactions of aryl (Z)-enyne propargyl acetate-CO2(CO)(6) complexes 1 afford benzocycloheptenyne-CO2(CO)(6) complexes 2 and their heterocyclic analogues

Oncocytic Papillary Cystadenoma of the Larynx: A Rare and Masquerading Entity.

We cared for a 59-year-old female smoker who presented with a supraglottic lesion mimicking a laryngeal saccular cyst. The lesion was found to be a oncocytic papillary cystadenoma. This is a rare, benign neoplasm that accounts for 2–4.7% of minor salivary gland neoplasms. Oncocytic papillary cystadenoma of the larynx is even more rare, compromising less than 1% of all benign laryngeal neoplasms. This case highlights the importance of comprehensive differential diagnosis for cystic laryngeal lesions

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images.

Alzheimer's Disease (AD) is a progressive neurodegenerative disease where biomarkers for disease based on pathophysiology may be able to provide objective measures for disease diagnosis and staging. Neuroimaging scans acquired from MRI and metabolism images obtained by FDG-PET provide in-vivo measurements of structure and function (glucose metabolism) in a living brain. It is hypothesized that combining multiple different image modalities providing complementary information could help improve early diagnosis of AD. In this paper, we propose a novel deep-learning-based framework to discriminate individuals with AD utilizing a multimodal and multiscale deep neural network. Our method delivers 82.4% accuracy in identifying the individuals with mild cognitive impairment (MCI) who will convert to AD at 3 years prior to conversion (86.4% combined accuracy for conversion within 1-3 years), a 94.23% sensitivity in classifying individuals with clinical diagnosis of probable AD, and a 86.3% specificity in classifying non-demented controls improving upon results in published literature

Congenital Pulmonary Airway Malformation (CPAM): An Interesting ENT Consultation.

A 13-month-old boy was referred to the emergency department from the pediatrician’s office for increased shortness of breath. A 2-view chest X-ray was ordered revealing right hemithorax hyperlucency, minimal lung markings, and leftward mediastinal shift