Results 101 to 110 of about 3,643,927 (240)

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Even and Odd Cat States of Two and Three Qubits in the Probability Representation of Quantum Mechanics

Entropy
We derive the probability representation of even and odd cat states of two and three qubits. These states are even and odd superpositions of spin-1/2 eigenstates corresponding to two opposite directions along the z axis. The probability representation of
Matyas Mechler, Margarita A. Man’ko, Vladimir I. Man’ko, Peter Adam   +3 more
doaj   +1 more source

MinInversion: A Program for Petrophysical Composition Analysis of Geophysical Well Log Data

Geosciences, 2018
Knowledge of the composition (mineral and fluid proportions) of rock formation lithologies is important for petrophysical and rock physics analysis. The mineralogy of a rock formation can be estimated by solving a system of linear equations that relate a
Adewale Amosu, Yuefeng Sun
doaj   +1 more source

Cutaneous Phosphorylated Alpha‐Synuclein in Lewy Body Dementia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the test performance of cutaneous phosphorylated alpha‐synuclein (P‐SYN) in dementia with Lewy bodies (DLB), individuals with reduced Montreal Cognitive Assessment (MoCA) and healthy controls. Methods This is the first subgroup analysis of the Synuclein‐One study, a prospective, blinded study evaluating P‐SYN detection ...
Christopher H. Gibbons, Todd Levine, Charles H. Adler, Bailey Bellaire, Ningshan Wang, Pinky Agarwal, Georgina M. Aldridge, Alexandru Barboi, Daniel Claassen, Virgilio G. H. Evidente, Douglas Galasko, Alejandra Gonzalez‐Duarte, Ramon Gil, Mark Gudesblatt, Stuart H. Isaacson, Horacio Kaufmann, Pravin Khemani, Rajeev Kumar, Guillaume Lamotte, Andy J. Liu, Nikolaus R. McFarland, Mitchell G. Miglis, Adam Reynolds, Gregory A. Sahagian, Marie‐Helene Saint‐Hilaire, Julie B. Schwartzbard, Wolfgang Singer, Michael J. Soileau, Steven Vernino, Patricio Millar Vernetti, Oleg Yerstein, Roy Freeman   +31 more
wiley   +1 more source

Predicting Loss of Ambulation in Limb Girdle Muscular Dystrophy R9

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Limb girdle muscular dystrophy type R9 (LGMDR9) results from biallelic variants in FKRP. There is limited data to predict loss of ambulation (LOA) among those with LGMDR9. Methods Participants in an ongoing dystroglycanopathy natural history study (NCT00313677) with FKRP variants who had achieved ambulation and were more than 3 ...
Chandra L. Miller, Lauren N. Coffey, Shelley R. H. Mockler, Katie M. Laubscher, Carrie M. Stephan, M. Bridget Zimmerman, Katherine D. Mathews   +6 more
wiley   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

On the Probability Distribution of Economic Growth [PDF]

Normality is often mechanically and without sufficient reason assumed in econometric models. In this paper three important and significantly heteroscedastic GDP series are studied.
Stockhammar, P, Öller, L-E
core   +1 more source

Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma, Rhonda Mittenzwei, Heather Maioli, Amanda Kirkland, C. Dirk Keene, Ramon Diaz‐Arrastia, Christine Mac Donald, Chiara Maffei, Brian L. Edlow, Amber L. Nolan   +9 more
wiley   +1 more source

Alternative model to determine the characteristic strength value of wood in the compression parallel to the grain

Maderas: Ciencia y Tecnología, 2020
Wood strength values are calculated based on the characteristic value, which corresponds to the 5 % percentile of a given probability distribution model.
André Luis Christoforo, Vinicius Borges de Moura Aquino, José Silvio Govone, Alfredo Manuel Pereira Geraldes Dias, Tulio Hallak Panzera, Francisco Antonio Rocco Lahr   +5 more
doaj  

Spinal Cord Infarction Versus Idiopathic Transverse Myelitis: Clinical, Radiological, and Functional Insights From a Retrospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji, Jianlong Zhang, Yiming Shi, Shiyu Shan, Yang Du, Guangshuo Li, Ying Jin, Yani Zhang, Chuanying Wang, Yijun Lin, Yuhao Guo, Decai Tian, Xingquan Zhao, Tian Song   +13 more
wiley   +1 more source