Results 51 to 60 of about 52,951 (307)

Acute Kidney Injury After Mechanical Thrombectomy for Stroke in Patients With Pre‐Existing Renal Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk, Marcel Pilarek, Emilia Jaworska, Natalia Kardas, Oliwia Barnaś, Julia Woźniak, Iga Machała, Julia Węgrzynek‐Gallina, Joanna Siuda, Anna Hawrot‐Kawecka, Anetta Lasek‐Bal   +10 more
wiley   +1 more source

Nonparametric density estimation using a multidimensional mixture model of Gaussian distributions

Lietuvos Matematikos Rinkinys, 2005
This paper algorithmically and empirically studies five major types of nonparametric multivariate density estimation techniques, where no assumption is made about data being drawn from any of known parametric families of distribution. There is developed
Tomas Ruzgas, Mindaugas Kavaliauskas
doaj   +3 more sources

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

Exhaustive Structure Learning of R-Vine Copula Models for Analyzing Multiband Spectrum Utilization in Mobile Communications

IEEE Access
Accurate modeling of multiband spectrum utilization is essential for data-driven spectrum management and refarming in mobile communication systems. However, the bounded and non-Gaussian nature of Resource Block (RB) utilization, together with complex ...
Yunbae Kim, Jonghun Yoon, Hyeyeon Kwon, and Seungkeun Park   +3 more
doaj   +1 more source

Opportunistic retrospective assessment of HUAC, bone density, SFT and breast density on CT images and relationship with severity of COVID-19

Journal of Mind and Medical Sciences, 2023
Aim. To evaluate mean Hounsfield unit calculation (HUAC), bone density, subcutaneous fat thickness (SFT), breast density (constitutional imaging biomarkers) and age in symptomatic patients with COVID-19, to assess their correlation with pneumonia ...
Mahmut Subasi, Mustafa Duger, Cengiz Erol, Irmak Durur-Subasi   +3 more
doaj   +1 more source

Regularized non-parametric multivariate density and conditional density estimation

2010 IEEE Conference on Multisensor Fusion and Integration, 2010
In this paper, a distance-based method for both multivariate non-parametric density and conditional density estimation is proposed. The contributions are the formulation of both density estimation problems as weight optimization problems for Gaussian mixtures centered about samples with identical parameters.
Krauthausen, Peter, Hanebeck, Uwe D.
openaire   +4 more sources

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Consistency of multivariate log-concave density estimators

Statistics & Probability Letters, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schuhmacher, Dominic, Dümbgen, Lutz
openaire   +4 more sources

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis–Associated Interstitial Lung Disease Risk

Arthritis Care &Research, EarlyView.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase‐7 (MMP‐7), and serum anti–malondialdehyde‐acetaldehyde (anti‐MAA) antibody for rheumatoid arthritis (RA)–associated interstitial lung disease (ILD) risk stratification.
Kelsey Coziahr, Austin M. Wheeler, Brent A. Luedders, Michael Duryee, Halie Frideres, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Dana P. Ascherman, Paul A. Monach, Gail S. Kerr, Andreas M. Reimold, Scott M. Matson, Joshua F. Baker, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England   +16 more
wiley   +1 more source

Properties and Estimations of a Multivariate Folded Normal Distribution

Mathematics, 2023
A multivariate folded normal distribution is a distribution of the absolute value of a Gaussian random vector. In this paper, we provide the marginal and conditional distributions of the multivariate folded normal distribution, and also prove that ...
Xi Liu, Yiqiao Jin, Yifan Yang, Xiaoqing Pan   +3 more
doaj   +1 more source