Results 101 to 110 of about 1,256,700 (250)

Neurologic Manifestations of Long COVID Affect Adult Females More Severely Than Males

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize differences in neurologic manifestations of postacute sequelae of SARS‐CoV‐2 infection (Neuro‐PASC) between females and males. Methods Cross‐sectional study of the first consecutive 261 posthospitalization Neuro‐PASC (PNP) and 2068 nonhospitalized Neuro‐PASC (NNP) patients evaluated at the Neuro‐COVID clinic between ...
Hannah Kopinsky, Melissa Lopez, Janet Miller, Millenia Jimenez, Eric M. Liotta, Igor J. Koralnik   +5 more
wiley   +1 more source

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park, Eun‐Hyuk Choi, Jorge Otero‐Millan, David S. Zee, Jeong‐Yoon Choi, Ji‐Soo Kim   +5 more
wiley   +1 more source

Graph Clustering with High-Order Contrastive Learning. [PDF]

Entropy (Basel), 2023
Li W, Zhu E, Wang S, Guo X.
europepmc   +1 more source

Bounded graph clustering with graph neural networks

Journal of Physics: Complexity
In community detection, many methods require the user to specify the number of clusters in advance since an exhaustive search over all possible values is computationally infeasible.
Kibidi Neocosmos, Diego Baptista, Nicole Ludwig   +2 more
doaj   +1 more source

Building clustering method that integrates graph attention networks and spectral clustering

Geocarto International
Clustering is an unsupervised learning method; however, it cannot be directly applied to complex building features to reveal the deep-level intrinsic relationships between buildings and assimilate the cartographic experience of experts.
Guoqing Chen, Haizhong Qian
doaj   +1 more source

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

Starling: Introducing a mesoscopic scale with Confluence for Graph Clustering. [PDF]

PLoS One, 2023
Gaume B.
europepmc   +1 more source

Intracerebral Hemorrhage Induces Monocyte TNF Signaling in Patients That Is Suppressed by BAF312

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Intracerebral hemorrhage (ICH) causes high morbidity and mortality, with neurotoxic inflammation driven by infiltrating monocytes. This study is an in‐depth longitudinal examination of the immune response during the first week of ICH in the presence and absence of the immunomodulatory drug BAF312 (Siponimod).
Jonathan Howard DeLong, Sebastian Díaz‐Pérez, Kevin Navin Sheth, Jang‐Ho Cha, C. J. Malanga, Patricia G. M. Wagner, Nicole Pezous, Aurelie Hanin, Kyle B. Walsh, H. E. Hinson, Lauren Hachmann Sansing   +10 more
wiley   +1 more source

MGAE: Marginalized graph autoencoder for graph clustering

, 2017
© 2017 ACM. Graph clustering aims to discover community structures in networks, the task being fundamentally challenging mainly because the topology structure and the content of the graphs are dicult to represent for clustering analysis.
Jiang, J, Shirui Pan, Xingquan Zhu, Long, G, Chun Wang, Wang, C, Jing Jiang, Zhu, X, Pan, S, Guodong Long   +9 more
core   +1 more source

Dynamic Graph Clustering Learning for Unsupervised Diabetic Retinopathy Classification. [PDF]

Diagnostics (Basel), 2023
Yu C, Pei H.
europepmc   +1 more source