Results 81 to 90 of about 18,491,428 (214)

Quantitative Detection of Entotic Cell‐In‐Cell Structures Using Deformable Segmentation and Deep Learning

Cytometry Part A, EarlyView.
ABSTRACT Cell‐in‐cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed in human cancer specimens. Once regarded as incidental findings, accumulating evidence has linked specific CIC subtypes, particularly entosis, to tumor progression and patient prognosis.
Maria V. Leyba‐Mesa, Mikołaj Biegański, Elijah Ray, Izabela Młynarczuk‐Bialy, Buket D. Barkana   +4 more
wiley   +1 more source

COMPLEX P-LAPLACIAN ON KAHLER MANIFOLDS AND ITS APPLICATIONS [PDF]

, 2014
From a geometric point of view, we use coordinates as the main tool to define the holomorphic gradient, the antiholomorphic gradient, and the complex gradient of a complex-valued function on Kahler manifolds. Then we define the holomorphic Laplacian, the
Qu, Hong
core  

Presurgical magnetoencephalography‐derived network control metrics distinguish successful hippocampal resection vs sparing in temporal lobe epilepsy

Epilepsia, EarlyView.
Abstract Objective Surgical decision‐making in temporal lobe epilepsy (TLE) faces a critical challenge in determining whether the hippocampus can be safely spared during anterior temporal resection, particularly when surgery involves the language‐dominant hemisphere.
Guhan Seshadri NP, Himanshu Kumar, Neha Sara John, Andreas V. Alexopoulos, Richard C. Burgess, Hiroatsu Murakami, Balu Krishnan   +6 more
wiley   +1 more source

On the $p$-Laplacian and $\infty$-Laplacian on Graphs with Applications in Image and Data Processing

, 2015
International audienceIn this paper we introduce a new family of partial difference operators on graphs and study equations involving these operators.
Toutain, Matthieu, Elmoataz, Abderrahim, Tenbrinck, Daniel   +2 more
core   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source

Nontrivial solutions of $p$-superlinear anisotropic $p$-Laplacian systems via Morse theory

, 2010
We obtain nontrivial solutions of a class of $p$-superlinear anisotropic $p$-Laplacian systems using Morse ...
Perera, Kanishka, O'Regan, Donal, Agarwal, Ravi P.   +2 more
core   +1 more source

Dopamine Transporter Imaging‐Based Radiomics for Predicting 4‐Year Motor Progression (Unified Parkinson's Disease Rating Scale Part III) in Parkinson's Disease

iRADIOLOGY, EarlyView.
Magnetic resonance imaging (MRI)‐guided dopamine transporter (DAT) radiomics combined with machine learning showed promising performance for predicting 4‐year motor progression in Parkinson's disease. Ensemble voting fusion markedly improved discrimination compared with individual base models, with stable predictive features mainly derived from ...
Xiaoxuan Fan, Yanghan Chen, Junfeng Lin, Zenwen Han, Jianqiang Ye, Lili Lin, Hong Zhang, Ang Li, Han Jiang   +8 more
wiley   +1 more source

Retrospective Identification and Quantitative Image Analysis of the ICAP Nuclear Pattern AC‐30 in Antinuclear Antibody Testing

Journal of Clinical Laboratory Analysis, EarlyView.
This investigation was conducted in two phases. Phase I involved the classification and clinical profiling of AC‐30. In Phase II, quantitative image analysis was performed to explore its associations with clinical parameters. ABSTRACT Background The International Consensus on ANA Patterns (ICAP) recently codified the AC‐30 nuclear pattern ...
Changmeng Wu, Wenhan Du, Weidong Chen, Juan He, Linlin Xu, Yu Li   +5 more
wiley   +1 more source

Mapping Fatty Acid Composition in the Human Knee: Short‐Term Repeatability at 3T

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Alterations in periarticular lipid composition are implicated in musculoskeletal diseases, yet short‐term reliability of MRI‐based triglyceride composition mapping in the knee is not fully established. Purpose To evaluate 1‐week repeatability of proton‐density fat fraction (PDFF) and triglyceride fatty‐acid composition—saturated ...
Dimitri Martel, Anne Adlung, Baptiste Busi, Rollanda Bernadin, Yagni Shah, Thorsten Kirsch, Richard Kijowski, Guillaume Madelin, Amparo Ruiz   +8 more
wiley   +1 more source