Results 211 to 220 of about 254,454 (341)

Non‐Uniform Space‐Time‐Coding Modulation for Low‐Complexity Diagnostics of Reconfigurable Intelligent Surfaces

Advanced Electronic Materials, EarlyView.
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen, Lei Zhang, Yi Ning Zheng, Bing Bing Zhu, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Vincenzo Galdi, Tie Jun Cui   +8 more
wiley   +1 more source

Automatic Assessment of Expanded Disability Status Scale (EDSS) in Multiple Sclerosis Using a Decision Tree

, 2013
Hongyang Cao, Olivier Agnani, Laurent Peyrodie, C. Donzé   +3 more
openalex   +2 more sources

Spin Matters: A Multidisciplinary Roadmap to Understanding Spin Effects in Oxygen Evolution Reaction During Water Electrolysis

Advanced Energy Materials, EarlyView.
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne, Priscila Vensaus, Vadim Ratovskii, Seenivasan Hariharan, Jan Behrends, Cesare Franchini, Jonas Fransson, Sarnjeet S. Dhesi, Felix Gunkel, Florian Gossing, Georgios Katsoukis, Ulrike I. Kramm, Magalí Lingenfelder, Qianqian Lan, Yury V. Kolen'ko, Yang Li, Ramsundar Rani Mohan, Jeffrey McCord, Lingmei Ni, Eva Pavarini, Rossitza Pentcheva, David H. Waldeck, Michael Verhage, Anke Yu, Zhichuan J. Xu, Piero Torelli, Silvia Mauri, Narcis Avarvari, Anja Bieberle‐Hütter, Christoph Baeumer   +29 more
wiley   +1 more source

Supplementary Material for: Quantification of Gait Abnormalities in Healthy-Looking Multiple Sclerosis Patients (with Expanded Disability Status Scale 0-1.5)

, 2016
Klára Novotná, Lukáš Sobíšek, Dana Horáková, Eva Havrdová, Jana Lízrová Preiningerová   +4 more
openalex   +1 more source

Self-reported changes in the expanded disability status scale score in patients with multiple sclerosis after autologous stem cell transplants: real-world data from a single center [PDF]

, 2019
Guillermo J. Ruíz‐Argüelles, Juan Carlos Olivares‐Gazca, Mauricio Olivares-Gazca, Andrés A. León‐Peña, Iván Murrieta-Álvarez, Yahveth Cantero‐Fortiz, Gisela B. Gómez-Cruz, Alejandro Ruı́z-Argüelles, Manuel Priesca-Marín, Guillermo J. Ruiz‐Delgado   +9 more
openalex   +1 more source

Research Progress on Idebenone in Neurodegenerative Diseases

AGING MEDICINE, EarlyView.
The study not only summarizes the biological properties of Idebenone (IDE), including its role in improving mitochondrial function and antioxidative stress, but also explores its clinical research progress in various neurodegenerative diseases, providing a new perspective for the treatment of these disorders.
Yanqing Zhang, Yanhong Ren, Xiaoran Zhu, Tianhao Liu, Rundong Han, Yuqing Fang, Zhangning Zhao, Fei Mao, Yalin Wang, Xian Li, Xiuhua Li   +10 more
wiley   +1 more source

Kolmogorov–Arnold Network for Transistor Compact Modeling

Advanced Intelligent Systems, EarlyView.
This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley   +1 more source

Whole-brain N-acetylaspartate concentration: correlation with T2-weighted lesion volume and expanded disability status scale score in cases of relapsing-remitting multiple sclerosis.

, 2002
Fabrice Bonneville, David M. Moriarty, Belinda S.Y. Li, James S. Babb, Robert I. Grossman, Oded Gonen   +5 more
openalex   +1 more source

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

Advanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang, Johyeon Kim, Sueyeon Kim, Hyunbo Cho, Jongwook Jeon   +4 more
wiley   +1 more source

Serial analysis of magnetization-transfer histograms and Expanded Disability Status Scale scores in patients with relapsing-remitting multiple sclerosis.

, 2000
Upen J. Patel, Robert I. Grossman, Michael D. Phillips, Jayaram K. Udupa, Joseph C. McGowan, Yukio Miki, Luogang Wei, Marcia Polansky, Mark A. van Buchem, Dennis L. Kolson   +9 more
openalex   +1 more source