Results 61 to 70 of about 6,746,241 (361)

The MSA Atrophy Index (MSA‐AI): An Imaging Marker for Diagnosis and Clinical Progression in Multiple System Atrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo, Kilian Hett, Amy Cooper, Amy E. Brown, Jessica Iregui, Manus J. Donahue, M. Erik Landman, Italo Biaggioni, Margaret Bradbury, Cynthia Wong, David Stamler, Daniel O. Claassen   +11 more
wiley   +1 more source

Constructing soliton solutions of geometric flows by separation of variables [PDF]

, 2014
This note surveys and compares results on the separation of variables construction for soliton solutions of curvature equations including the K\"ahler-Ricci flow and the Lagrangian mean curvature flow.
Wang, Mu-Tao
core  

Long‐Term Temporal Profile of Motor Recovery After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Limited data is available to describe the temporal profile of long‐term recovery over 1 year after the stroke in patients with spontaneous intracerebral hemorrhage (ICH). Methods A registered multicentral cohort was conducted to consecutively include non‐herniated supratentorial ICH patients from November 2013 to January 2023 ...
Yan Zheng, Fu‐Xin Lin, Ling‐Yun Zhuo, Jian‐Cai Chen, Xin Ge, Xiang‐Lin Chen, Xue‐Jiao Wang, Zhi‐Gang Yao, You‐Liang Tong, Bo Xie, Bai‐Hai Guo, Zhao‐Sheng Sun, Zhi‐Hua Tian, Ping Qiu, Xin‐Ru Lin, Qiu He, Shu‐Na Huang, Ke Ma, Fang‐Yu Wang, Huang‐Cheng Shang‐Guan, Wen‐Hua Fang, Deng‐Liang Wang, Ying Fu, Yuan‐Xiang Lin, De‐Zhi Kang   +24 more
wiley   +1 more source

Investigating Off-shell Stability of Anti-de Sitter Space in String Theory [PDF]

, 2008
We propose an investigation of stability of vacua in string theory by studying their stability with respect to a (suitable) world-sheet renormalization group (RG) flow.
Adams A, Adams R A, Anderson M T, Andersson L Moncrief V, Bakas I Sourdis C, Bourguignon J-P, Cao H-D, Cao H-D, Cao H-D Hamilton R Ilmanen T, Chow B, Dai X Wang X Wei G, Feldman M Ilmanen T Ni L, Fischer A E, Giveon A, Gubser S S, Guenther C, Guenther C, Gutperle M, Headrick M, Headrick M, Holzegel G, Ishibashi A, Knopf D, Morgan J, Okawa Y, Perelman G, Perelman G, Perelman G, Schnuerer O, Sesum N, Taylor M E, Topping P, V Suneeta, Wald R M   +33 more
core   +1 more source

Qualitative properties of mathematical model for data flow

Networks & Heterogeneous Media, 2021
<p style='text-indent:20px;'>In this paper, properties of a recently proposed mathematical model for data flow in large-scale asynchronous computer systems are analyzed. In particular, the existence of special weak solutions based on propagating fronts is established.
Hauck, CD, Herty, M, Visconti, G
openaire   +5 more sources

ICU‐EEG Pattern Detection by a Convolutional Neural Network

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano, Hervé Quintard, Andreas Kleinschmidt, Nikita Francini, Oana E. Sarbu, Pia De Stefano   +5 more
wiley   +1 more source

Mathematical modelling of flows in dividing and combining flow manifold

Applied Mathematical Modelling, 1980
Abstract A finite-difference procedure has been developed for predicting flows in dividing and combining flow manifolds. A one-dimensional elliptic formulation has been proposed; this requires the prescription of total flow rate through the header and the pressure of the surroundings where the fluid is either discharged (for a dividing-flow manifold)
openaire   +3 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Generation and manipulation of magnetic droplets [PDF]

, 2009
This paper was presented at the 2nd Micro and Nano Flows Conference (MNF2009), which was held at Brunel University, West London, UK. The conference was organised by Brunel University and supported by the Institution of Mechanical Engineers, IPEM, the ...
2nd Micro and Nano Flows Conference (MNF2009), Alhetlani, E, Iles, A, Pamme, N   +3 more
core  

Understanding How Students Use Physical Ideas in Introductory Biology Courses

, 2010
The University of Maryland (UMD) Biology Education and Physics Education Research Groups are investigating students' views on the role of physics in introductory biology courses.
Cooke, Todd, Hall, Kristi, Redish, Edward, Watkins, Jessica   +3 more
core   +1 more source