Results 61 to 70 of about 700,760 (282)
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Medical Image Denoising using Adaptive Threshold Based on Contourlet Transform
Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). This paper proposes a medical image denoising algorithm using contourlet transform.
Prasad, KVSVR, Satheesh, S.
core +1 more source
Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data [PDF]
Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification
Marian, L +2 more
core +1 more source
Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird +9 more
wiley +1 more source
An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination
To improve the quality of ghost image, we propose an efficient computational ghost imaging method in this article. The primary idea is to estimate the noise value of the ghost image by analyzing and eliminating the source of the noise. The innovativeness
Xiaoxia Wang, Jiangtao Xi, Fengbao Yang
doaj +1 more source
Steganography in RGB Images Using Adjacent Mean
Steganography is the practice of hiding information or data in a seemingly innocuous cover medium, such as message, file, image, audio, and video. In the past decades, many approaches of steganography in images were proposed for various applications.
Yun-Hsin Chuang +3 more
doaj +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
PSNR Improvement Using Different Prediction Coding
Differential Pulse Code Modulation (DPCM) is one of the predictive coding techniques. The number of previous pixels employed in the estimate operation is referred to as the order of the predictor. Predictor using one pixel for estimation is called “first
Khamies Khalaf Hasan
doaj
LSB TECHNIQUE FOR IMAGE AND TEXT HIDING USING THE RED AND GREEN CHANNELS [PDF]
Recently, Information hiding has an important role to protect data via the Internet from malicious attack, Steganography - which is the art of hiding data- uses a cover file to hide data by utilizing different schemas to prevent it from being detected ...
SAWSAN M. NUSIR +4 more
doaj
Direct tissue analysis and imaging using mass spectrometry can extract a mass of information directly from complex biological samples. To carry out successful profiling and mapping of biomolecules, though, techniques for correct sample preparation are required. This article focuses on the influences of tissue thickness on mass spectra.
Yuki SUGIURA +2 more
openaire +2 more sources

