Results 41 to 50 of about 42,948 (219)

PLUME-MoM 1.0: A new integral model of volcanic plumes based on the method of moments [PDF]

Geoscientific Model Development, 2015
In this paper a new integral mathematical model for volcanic plumes, named PLUME-MoM, is presented. The model describes the steady-state dynamics of a plume in a 3-D coordinate system, accounting for continuous variability in particle size distribution ...
M. de' Michieli Vitturi, A. Neri, S. Barsotti   +2 more
doaj   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

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

Bayesian adaptation in Poisson cognitive systems

Открытое образование (Москва), 2019
The aim of the study is to investigate the possibility of applying Bayesian adaptation algorithms to cognitive systems that perceive the Poisson process of external events.The method of research is the use of stochastic description and synthesis of ...
Aleksander A. Solodov
doaj   +1 more source

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

Long COVID in People With Multiple Sclerosis and Related Disorders: A Multicenter Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Managing long COVID in people with multiple sclerosis and related disorders (pwMSRD) is complex due to overlapping symptoms. To address evidence gaps, we evaluated long COVID susceptibility in pwMSRD versus controls and its associations with multi‐domain function and disability.
Chen Hu, Jiyeon Son, Lindsay McAlpine, Elizabeth L. S. Walker, Megan Dahl, Emily Song, Sugeidy Ferreira Brito, Katelyn Kavak, Kaho Onomichi, Amit Bar‐Or, Christopher Perrone, Claire S. Riley, Bianca Weinstock‐Guttman, Philip L. De Jager, Erin E. Longbrake, Zongqi Xia   +15 more
wiley   +1 more source

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

Field parametric geostatistics - An alternative to tackle gold grade estimations

REM: International Engineering Journal
High anomalous grades are very common in gold deposits, whose presence requires careful treatment to prevent overestimation of metal content. Mineral resource analysts have worked on the estimation of several gold deposits, and none of the classical ...
Rochana da Silva Machado, João Felipe Coimbra Leite Costa   +1 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Determining the First Probability Density Function of Linear Random Initial Value Problems by the Random Variable Transformation (RVT) Technique: A Comprehensive Study

Abstract and Applied Analysis, 2014
Deterministic differential equations are useful tools for mathematical modelling. The consideration of uncertainty into their formulation leads to random differential equations. Solving a random differential equation means computing not only its solution
M.-C. Casabán, J.-C. Cortés, J.-V. Romero, M.-D. Roselló   +3 more
doaj   +1 more source