Results 211 to 220 of about 31,021 (266)
Cortical synchrony is reduced in Alzheimer's disease and relates to arousal state
Abstract INTRODUCTION The brain is a complex dynamical system, influenced by arousal state. Cortical synchrony supports information processing and is disrupted in Alzheimer's disease (AD). Locus coeruleus (LC) integrity and pupillometry index arousal system structure and function.
Michael C. B. David +12 more
wiley +1 more source
On the Meaning of Localization in Non‐Local Quantum Field Theory
In non‐local quantum field theory nature does not necessarily allow objects or events to be localized to exact mathematical points. Instead any physical measurement has a built‐in finite resolution set by the non‐locality scale. Spacetime remains continuous and Lorentz‐covariant, but below this scale pointlike localization becomes an idealization ...
E. J. Thompson
wiley +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
HPV‐Adjusted Feature Screening With FDR Control in Head and Neck Cancer
ABSTRACT Human papillomavirus (HPV) is a well‐established prognostic factor in head and neck (HN) cancer, with HPV‐positive patients exhibiting markedly better survival outcomes compared to their HPV‐negative counterparts. While advances in (cancer) genomics have been pivotal to precision medicine, existing gene screening methods for identifying ...
Atika Farzana Urmi +2 more
wiley +1 more source
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley +1 more source
State‐Guided TMS‐EEG for N100 Enhancement Study Based on Whole‐Brain EEG Microstates
This study proposes a whole‐brain, state‐guided TMS‐EEG framework to enhance the TMS‐evoked N100, with the most evident effect observed for peak N100 TEP amplitude and detectable effects in GMFA and LMFA. This pattern was retained in 64‐, 32‐, and 21‐channel montages, while a similar trend was preserved in the 9‐channel configuration.
Jiale Lan, Yong Wang, Xiaoli Li, He Chen
wiley +1 more source
Using LiDAR to quantify, map, and conserve late‐successional and old‐growth forest in Maine, USA
Abstract The world continues to lose late‐successional and old‐growth (LSOG) forest as the human population and demand for wood fiber grow. However, older forest age classes provide structural and compositional characteristics important to biodiversity that are often not present in forests managed for timber.
John M. Hagan +3 more
wiley +1 more source
Graphical abstract of the (q,τ)$$ \left(q,\tau \right) $$‐deformed kernel framework for quantum‐inspired learning and biomedical signal analysis ABSTRACT This paper introduces a weighted (q,τ)$$ \left(q,\tau \right) $$‐deformed Gram matrix framework for quantum‐inspired learning systems, with particular emphasis on applications in biomedical signal ...
Rabha W. Ibrahim +2 more
wiley +1 more source
We introduce an efficient open‐source numerical framework for the automated search for the placements of injection and production wells in hot fracture‐controlled reservoirs that sustainably optimize geothermal energy production. We model the reservoirs as discrete fracture networks in 3D. The fluid flow and heat transport in the reservoirs are modeled
Ondřej Pártl, Ernesto Meneses Rioseco
wiley +1 more source
Quadratic Hedging of American Options Under GARCH Models
ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley +1 more source

