Results 141 to 150 of about 178,865 (261)

Temporal Interference Stimulation of Centromedian‐Parafascicular Complex in Disorders of Consciousness: A Pilot Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu, Changgeng Song, Dianwei Wu, Xiaoqian Niu, Jianmin Hao, Lijuan Liu, Xiaogang Kang, Wen Jiang   +7 more
wiley   +1 more source

Low-complexity Automatic Modulation Classification of Higher-order QAM Based on Square Modulus Extraction

JITCE (Journal of Information Technology and Computer Engineering)
Modulation classification plays a key role in decoding cognitive radio, signal identification, menace assessment, spectrum senses, and management, efficient use of available spectrum and increase in the speed of data transfer.
Olalekan Bello
doaj   +2 more sources

MATLAB-simulated dataset for automatic modulation classification in wireless fading channels. [PDF]

Data Brief
Shafi MMS, Ahona TS, Mridha AI.
europepmc   +1 more source

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Towards cross-domain few-shot modulation classification: a feature transformation graph neural network approach. [PDF]

Sci Rep
Shi Y, Xu H, Qi Z, Wang D, Meng Q.
europepmc   +1 more source

Validation of a Cellular Imaging‐Based Method as a Potential Biomarker for SPG4 Hereditary Spastic Paraplegia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Hereditary Spastic Paraplegia (HSP) comprises a group of rare genetic diseases characterized by length‐dependent axonal degeneration of the corticospinal tracts and dorsal columns, whose main clinical feature is spastic gait. Pathogenic variants in the SPG4 gene cause Spastic Paraplegia Type 4 (SPG4‐HSP), the most common form of HSP.
Gaia Fattorini, Valerio Licursi, Gianmarco Dalla Zanna, Flavio Dal Canto, Melissa Barghigiani, Nunzio Setola, Salvatore Rossi, Antonio Funcis, Filippo M. Santorelli, Gabriella Silvestri, Carlo Casali, Francesca Sardina, Cinzia Rinaldo   +12 more
wiley   +1 more source

DFENet: A diverse feature extraction neural network for improving automatic modulation classification accuracy in wireless communication systems. [PDF]

PLoS One
Le HK, Hoang VP, Doan VS.
europepmc   +1 more source

Region Specific miRNA–mRNA Networks in Gray and White Matter Lesions of Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Multiple sclerosis (MS) is a neurodegenerative demyelinating disease of the central nervous system. This study aimed to identify micro‐RNA (miRNA)–mRNA regulatory networks underlying region‐specific molecular mechanisms in white matter and gray matter lesions in progressive MS.
Adya Sapra, Nagendra K. Rai, Timothy D. Niepokny, Haley Courtney, Ajai Tripathi, Ranjan Dutta   +5 more
wiley   +1 more source

Automatic modulation classification method using fixed K-means algorithm for feature clustering processing. [PDF]

PLoS One
Yuan L, Chen Y.
europepmc   +1 more source

Artificial Bee Colony Based Gabor Parameters Optimizer (ABC-GPO) for Modulation Classification.

Comput Intell Neurosci, 2022
AlJubayrin S, Sarfraz M, Ghauri SA, Amirzada MR, Mezgebo Kebedew T.   +4 more
europepmc   +1 more source