Results 121 to 130 of about 46,695 (300)

Rhythms in longitudinal thalamic recordings are linked to seizure risk

Epilepsia, EarlyView.
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang, Zachary T. Sanger, Thomas Lisko, Steffen Ventz, Robert A. McGovern, Theoden I. Netoff   +5 more
wiley   +1 more source

Deep Learning-Based Interpolation for Ground Penetrating Radar Data Reconstruction

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ground Penetrating Radar (GPR), with its high resolution and real-time monitoring capabilities, is widely used in fields such as underground structure detection, archaeological excavation, environmental monitoring, and engineering surveying. However, the
Ziyang Zhou, Meijia Huang, Hong Xu, Xinyu Yang, Yinpeng Li, Zhuo Jia   +5 more
doaj   +1 more source

Dietary and biomarker‐guided strategies as supportive measures in the fragile X syndrome

Food Biomacromolecules, EarlyView.
Abstract The fragile X syndrome (FXS) is an inherited neurodevelopmental disorder that primarily affects males, often resulting in an IQ below 55, while about two‐thirds of females also experience intellectual disability. Physical features may include an elongated face, prominent ears, finger joint laxity, and enlarged testes in males.
Jailan E. El Halawani, Reem R. AlOlaby
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

The Impact of Uncertainty on Forecasting the US Economy

Journal of Forecasting, EarlyView.
ABSTRACT This paper examines the predictive value of uncertainty measures for key macroeconomic indicators across multiple forecast horizons. We evaluate how different uncertainty proxies—economic policy uncertainty (EPU), VIX, geopolitical risk, and measures of macroeconomic and financial uncertainty—enhance forecast accuracy for industrial production,
Angelica Ghiselli
wiley   +1 more source

Refined Modeling of Heterogeneous Medium for Ground-Penetrating Radar Simulation

Remote Sensing
Ground-penetrating radar (GPR) has been widely used for subsurface detection and testing. Numerical simulations of GPR signal are commonly performed to aid the interpretation of subsurface structures and targets in complex environments.
Hai Liu, Dingwu Dai, Lilong Zou, Qin He, Xu Meng, Junhong Chen   +5 more
doaj   +1 more source

Toward a generic representation of random variables for machine learning

, 2015
This paper presents a pre-processing and a distance which improve the performance of machine learning algorithms working on independent and identically distributed stochastic processes.
Donnat, Philippe, Marti, Gautier, Very, Philippe   +2 more
core  

An Unfolding Story: AlphaFold's View on Protein Flexibility

Helvetica Chimica Acta, EarlyView.
AlphaFold confidence measures allow for detailed proteome‐wide characterization of protein flexibility. All flexibility measures increased substantially in the evolutionary transition from prokaryota to eukaryota. ABSTRACT The AlphaFold confidence measures are related to conformation distribution of the protein.
Gunnar Jeschke
wiley   +1 more source

Research progress on the role of inflammatory mediators in the pathogenesis of epilepsy

Ibrain, Volume 11, Issue 1, Page 44-58, Spring 2025.
In the central nervous system, activated immune cells lead to the overproduction of inflammatory mediators through the corresponding signal pathway. Under the stimulation of inflammatory factors, neuroinflammation ultimately occurs. Overexpression of inflammatory mediators and activated immunocytes plays an important role in the emergence and ...
Yue Yu, Fei‐Ji Sun
wiley   +1 more source

Soil water content estimation by using ground penetrating radar data full waveform inversion with grey wolf optimizer algorithm

Vadose Zone Journal
Soil water content (SWC) estimation is important for many areas including hydrology, agriculture, soil science, and environmental science. Ground penetrating radar (GPR) is a promising geophysical method for SWC estimation.
M. H. Zhang, X. Feng, M. Bano, C. Liu, Q. Liu, X. Wang   +5 more
doaj   +1 more source