Results 181 to 190 of about 56,281 (232)

The slashed Lomax distribution: new properties and Mellin-type statistical measures for inference. [PDF]

J Appl Stat
de Moura Carvalho J, Gomes-Silva F, Vasconcelos JM, Cordeiro GM.   +3 more
europepmc   +1 more source

Computer Vision Analysis for Objective Motor Assessment in Parkinson's Disease: A Retrospective Study

Movement Disorders Clinical Practice, EarlyView.
Abstract Background The Movement Disorder Society‐Unified Parkinson's Disease Rating Scale‐Part III (MDS‐UPDRS‐III) is subjective and insensitive to subtle changes in patients with Parkinson's disease (PD). Computer vision (CV) can extract objective kinematics from routine outpatient videos, potentially augmenting the accuracy of the motor assessment ...
Pasquale Maria Pecoraro, Luca Marsili, Antonio Cannavacciuolo, Kevin R. Duque, Jesus Abanto, Jennifer Sharma, Jennifer Scheler, Heba A. Deraz, Lauren Wingler, Vincenzo Di Lazzaro, Alberto J. Espay, Lazzaro di Biase, Matteo Bologna   +12 more
wiley   +1 more source

Alterations in topology, cost, and dynamics of gamma-band EEG functional networks in a preclinical model of traumatic brain injury. [PDF]

Netw Neurosci
Tsikonofilos K, Bruyns-Haylett M, May HG, Donat CK, Kozlov AS.   +4 more
europepmc   +1 more source

Constipation Is Linked to Neuroinflammation in Early Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background Constipation is a risk factor for the onset and accelerated progression of Parkinson's disease (PD), but the mechanisms underlying this association are unknown. Neuroinflammation in PD has been demonstrated in postmortem and neuroimaging studies; however, its relationship with constipation has not been investigated.
Marta Camacho, Julia C. Greenland, Alexander R.D. Peattie, Lennart R.B. Spindler, Jonathan Holbrook, Lakmini Kahanawita, Tim D. Fryer, Young T. Hong, Caroline H. Williams‐Gray   +8 more
wiley   +1 more source

Circulating eNAMPT in Glaucoma: A Semi-Quantitative Plasma Analysis Before and After Nicotinamide Supplementation. [PDF]

Transl Vis Sci Technol
Vallbona-Garcia A, Gustavsson ST, Gorgels TGMF, Tribble JR, Webers CAB, Smeets HJM, Jóhannesson G, Williams PA, Benedikter BJ.   +8 more
europepmc   +1 more source

Advancing Severe Plastic Deformation for Tubular Samples: Systematic Review and Machine Learning Optimization

MetalMat, EarlyView.
This review highlights recent advancements in Severe Plastic Deformation (SPD) techniques tailored for tubular samples. The mechanisms of processing are critically discussed with emphasis on microstructural control and the governing process parameters that enable refinement to ultrafine‐ and nano‐grained structures. Comparative insights into equivalent
Eman M. Zayed, Abdulrahman I. Alateyah, Waleed H. El‐Garaihy, Mahmoud Shaban, Majed Alinizzi, Nahed A. El‐Mahallawy   +5 more
wiley   +1 more source

Modelling epidemiological dynamics with pseudo-recovery via fractional-order derivative operator and optimal control measures. [PDF]

PLoS One
Olaniyi S, Chuma FM, Lebelo RS, Ogbonna RC, Abimbade SF.   +4 more
europepmc   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq, H. W. A. Riaz, Sadique Rehman, M. Mamun Miah, Wen Xiu Ma   +4 more
wiley   +1 more source

Hepatocellular Carcinoma: A Critical Complication in Patients Treated with Pyridoxal Phosphate. [PDF]

Neuropediatrics
Brands MM, de Puyraimond C, Gospe SM, Schiff MM, Jaeger B, Koot BG, Raphael MF, Lubout CM, Soto B, Delanne J, Imbard A, Zempel J, Kraal KC, Scheenstra R, Clayton PT.   +14 more
europepmc   +1 more source

Accelerating Multiparametric Quantitative MRI Using Self‐Supervised Scan‐Specific Implicit Neural Representation With Model Reinforcement

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng, Albert Jang, Xingxin He, Fang Liu   +3 more
wiley   +1 more source