Results 71 to 80 of about 700,659 (283)

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
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, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Medical Image Denoising using Adaptive Threshold Based on Contourlet Transform

, 2011
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

Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
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, Haley McQuown, Jihyun Park, Samuel J. Teener, Ian F. Webber‐Davis, Andrew D. Carter, Dae‐Gyu Jang, Eva L. Feldman, Stephen A. Goutman, Benjamin J. Murdock   +9 more
wiley   +1 more source

An Effective Computational Ghost Imaging Based on Noise Estimation and Elimination

IEEE Access, 2020
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

IEEE Access, 2021
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, Bor-Shing Lin, Yan-Xiang Chen, Hung-Jr Shiu   +3 more
doaj   +1 more source

Thin Sectioning Improves the Peak Intensity and Signal-to-Noise Ratio in Direct Tissue Mass Spectrometry

Journal of the Mass Spectrometry Society of Japan, 2006
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, Shuichi SHIMMA, Mitsutoshi SETOU   +2 more
openaire   +2 more sources

Data Detection and Code Channel Allocation for Frequency-Domain Spread ACO-OFDM Systems Over Indoor Diffuse Wireless Channels [PDF]

, 2014
Future optical wireless communication systems promise to provide high-speed data transmission in indoor diffuse environments. This paper considers frequency-domain spread asymmetrically clipped optical orthogonal frequency-division multiplexing (ACOOFDM)
Chen, Ming, Jiang, Peng, Wang, Jiangzhou, Wang, Jin-Yuan, Wang, Jun-Bo   +4 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
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, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

PSNR Improvement Using Different Prediction Coding

Tikrit Journal of Engineering Sciences, 2015
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  

A Compact Spin‐Coated Graphene UWB Antenna for Breast Tumor Detection

Advanced Engineering Materials, EarlyView.
A compact, spin‐coated graphene ultra‐wideband patch antenna designed for breast tumor detection, capable of distinguishing between malignant and benign tumors. This innovative antenna can serve as an effective initial screening tool, particularly in resource‐limited settings such as rural areas, where access to advanced medical equipment like MRI and ...
Raja Rashidul Hasan, Shuvra Saha, Sumit Hassan Eshan, Rinku Basak, Md. Nahian Al Subri Ivan, Ahmed Murtuza Saleque, Raja Tariqul Hasan Tusher, Sadia Zabin, Md. Abdur Rahman, Yuen Hong Tsang   +9 more
wiley   +1 more source