Results 221 to 230 of about 3,838,312 (316)

Integrating multivariate resting‐state fMRI features to localize epileptic networks in common childhood epilepsy

Epilepsia, EarlyView.
Abstract Objective Accurate localization of epileptic activity remains challenging when interictal discharges are absent or sparse. Although resting‐state functional MRI (rs‐fMRI) is noninvasive, individual rs‐fMRI metrics provide inconsistent and incomplete localization.
Qirui Zhang, Zixuan Zhang, Yvzhuo Li, Yan He, Fang Yang, Jacqueline Kim, Joseph I. Tracy, Guangming Lu, Zhiqiang Zhang   +8 more
wiley   +1 more source

A Multivariate Mixed‐Effects Regression Framework for Ground Motion Modeling: Integrating Parametric and Machine Learning Approaches

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Multivariate ground motion models (GMMs) that capture the correlation between different intensity measures (IMs) are essential for seismic risk assessment. Conventional GMMs are often developed using a two‐stage approach, where separate univariate models with predefined functional forms are fitted first, and correlation is addressed in a ...
Sayed Mohammad Sajad Hussaini, Shaghayegh Karimzadeh, Paulo B. Lourenço   +2 more
wiley   +1 more source

A surface acoustic wave tag utilizing a multilayer structure of SiO₂/Pt/128°YX-LiNbO₃ for operation at 600 °C. [PDF]

Microsyst Nanoeng
Tang Z, Shi R, Guo D, Luo C, Li H, Han T.   +5 more
europepmc   +1 more source

Finite Element Modelling of Rocking and Hybrid Precast Walls under Seismic Loading

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT In recent years, self‐centring systems have received considerable research interest in the seismic design of precast concrete structures for their ability to limit damage and satisfy resilience requirements. Rocking and hybrid structural walls, characterised by the formation of a single gap at the wall–foundation interface, mitigate damage by ...
Andrea Belleri, Michele E. Bressanelli, Simone Labò, Jose I. Restrepo   +3 more
wiley   +1 more source

K⁺ Flux Capacitor: NKCC1-mediated Potassium Flow Prevents an Inflammatory Overload. [PDF]

Cell Mol Gastroenterol Hepatol
Martin NR, Fairn GD.
europepmc   +1 more source

General Framework for Multi‐Degree‐of‐Freedom Stiffness Matrix Updating for Iterative Solution Algorithms in Hybrid Simulation

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Iterative solvers are advantageous for handling nonlinear structural analysis problems. The iterative solvers often require updating the stiffness matrix, which limits their application in static and pseudo‐dynamic hybrid simulations because: (1) updating the stiffness matrix of a system involving a physical specimen is challenging; (2 ...
Junyan Xiao, Oh‐Sung Kwon, Evan Bentz
wiley   +1 more source

Non-ordinary state-based peridynamics model for rock crack propagation: a combined stress-energy fracture method. [PDF]

Sci Rep
Gong B, Song Y, Zhang L, Chao W.
europepmc   +1 more source

Effectiveness of a Low‐Intensity Self‐Guided Psychoeducational Intervention for Individuals Waitlisted for Specialised Eating‐Disorder Treatment: A Randomised Controlled Trial

European Eating Disorders Review, EarlyView.
ABSTRACT Objective Gaining access to evidence‐informed treatment for eating disorders (EDs) is challenging, and this creates interest in the possible benefits of self‐help treatment methods. We investigated the effectiveness of receiving evidence‐informed self‐guided psychoeducation, delivered to individuals while on a waitlist for specialised ED care.
Linda Booij, Barbara Barth, Micaël Thériault, Bronwyn Raykos, Peter McEvoy, Howard Steiger   +5 more
wiley   +1 more source

Mixing of counterpropagating signals in a traveling-wave Josephson device. [PDF]

Nat Commun
Praquin M, Giraudo A, Lienhard V, Bouwakdh T, Vanselow A, Leghtas Z, Campagne-Ibarcq P.   +6 more
europepmc   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source