Results 51 to 60 of about 44,639 (273)

Direct Gravity‐Induced Modulation of Cardiac Conduction Pathways Evidenced Through Propagation Features in Electrophysiological Mapping

open access: yesAdvanced Materials Technologies, EarlyView.
A high‐density wearable body‐surface potential mapping array reveals how gravity reshapes cardiac conduction in real time. By resolving spatiotemporal delay patterns invisible to conventional ECG, the platform uncovers posture‐dependent electrophysiological adaptations across the thorax.
Ruben Ruiz‐Mateos Serrano   +4 more
wiley   +1 more source

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

open access: yesAdvanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu   +6 more
wiley   +1 more source

Regularized trace formula for higher order differential operators with unbounded coefficients

open access: yesElectronic Journal of Differential Equations, 2016
In this work we obtain the regularized trace formula for an even-order differential operator with unbounded operator coefficient.
Erdogan Sen   +2 more
doaj  

On regular trace languages

open access: yesTheoretical Computer Science, 1987
Let A be a finite alphabet and let r be a symmetrical relation on A. Let us consider the free partially commutative monoid M(A,r) generated by A with respect to r (i.e., the quotient of A * by the congruence relation generated by (ab,ba) for all (a,b) in r).
openaire   +2 more sources

Diminished Signal‐to‐Noise Ratio Disrupts Somatosensory Population Encoding and Drives Tactile Hyposensitivity in the Fmr1−/y Autism Model

open access: yesAdvanced Science, EarlyView.
This study provides a translational approach for linking neural activity to tactile deficits in autism. By combining psychophysics with cortical recordings in a mouse model of autism, we show that low signal‐to‐noise ratio in somatosensory neurons weakens population encoding of fine touch, impairing detection, decoding, and leading to perceptual ...
Ourania Semelidou   +7 more
wiley   +1 more source

On-shell matrix elements of the EMT trace in gauge theories and heavy quark masses

open access: yesPhysics Letters B
We present a novel diagrammatic proof of the identitybetween the forward matrix element of the energy-momentum-tensor (EMT) trace operator over a single particle’s on-shell state and its perturbative pole mass to any loop orders in perturbative gauge ...
Long Chen, Zhe Li, Marco Niggetiedt
doaj   +1 more source

Predicting and correcting the influence of boundary conditions in regional inverse analyses [PDF]

open access: yesGeoscientific Model Development
Regional inverse analyses of atmospheric trace gas observations quantify gridded two-dimensional surface fluxes by fitting the observations to simulated concentrations from a transport model, usually by Bayesian optimization regularized by a gridded ...
H. Nesser   +13 more
doaj   +1 more source

An approach for the calculation of one-loop effective actions, vacuum energies, and spectral counting functions

open access: yes, 2010
In this paper, we provide an approach for the calculation of one-loop effective actions, vacuum energies, and spectral counting functions and discuss the application of this approach in some physical problems.
AO Barvinsky   +50 more
core   +1 more source

Regular Trace Event Structures

open access: yesBRICS Report Series, 1996
We propose trace event structures as a starting point for constructing effective branching time temporal logics in a non-interleaved setting. As a first step towards achieving this goal, we define the notion of a regular trace event structure. We then provide some simple characterizations of this notion of regularity both in terms of recognizable trace
openaire   +2 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy