Results 61 to 70 of about 945,610 (300)

The two-mass contributions to the three-loop massive operator matrix elements $${\widetilde{A}}_{Qg}^{(3)}$$ and $${\Delta \widetilde{A}}_{Qg}^{(3)}$$

Journal of High Energy Physics
We calculate the two-mass three-loop contributions to the unpolarized and polarized massive operator matrix elements $${\widetilde{A}}_{Qg}^{(3)}$$ and $${\Delta \widetilde{A}}_{Qg}^{(3)}$$ in x-space for a general mass ratio by using a semi-analytic ...
J. Ablinger, J. Blümlein, A. De Freitas, A. von Manteuffel, C. Schneider, K. Schönwald   +5 more
doaj   +1 more source

DANet: Temporal Action Localization with Double Attention

Applied Sciences, 2023
Temporal action localization (TAL) aims to predict action instance categories in videos and identify their start and end times. However, existing Transformer-based backbones focus only on global or local features, resulting in the loss of information. In
Jianing Sun, Xuan Wu, Yubin Xiao, Chunguo Wu, Yanchun Liang, Yi Liang, Liupu Wang, You Zhou   +7 more
doaj   +1 more source

SPG4 and Dementia: Expanding the Clinical Spectrum

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza, Arun Meyyazhagan, Eliseo Picchi, Gustavo Ribas, Ingrid Faber, Ryosuke Miyamoto, Preethi Basavaraju, Paolo Eusebi, Haripriya Kuchi Bhotla, Mario Stasi, Fabrizio Gaudiello, Francesco Patti, Filippo Maria Santorelli, Marcondes Cavalcante França Jr, José Luiz Pedroso, Orlando Graziani Povoas Barsottini, Hélio Afonso Ghizoni Teive, Peter Henry St George‐Hyslop, Toshitaka Kawarai, Antonio Orlacchio   +19 more
wiley   +1 more source

Batch Mode Active Learning for Node Classification in Assortative and Disassortative Networks

IEEE Access, 2018
Active learning for networked data that focuses on predicting the labels of other nodes accurately by knowing the labels of a small subset of nodes is attracting more and more researchers because it is very useful especially in cases, where labeled data ...
Shuqiu Ping, Dayou Liu, Bo Yang, Yungang Zhu, Hechang Chen, Zheng Wang   +5 more
doaj   +1 more source

Cancer Research Trend Analysis Based on Fusion Feature Representation

Entropy, 2021
Machine learning models can automatically discover biomedical research trends and promote the dissemination of information and knowledge. Text feature representation is a critical and challenging task in natural language processing.
Jingqiao Wu, Xiaoyue Feng, Renchu Guan, Yanchun Liang   +3 more
doaj   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

SWPanGAN: A hybrid generative adversarial network for pansharpening

IET Image Processing
Pansharpening is a vital technique in remote sensing that combines a low‐resolution multi‐spectral image with its corresponding panchromatic image to obtain a high‐resolution multi‐spectral image.
Bo Huang, Xiongfei Li, Xiaoli Zhang
doaj   +1 more source

AgeGuess, a Methylomic Prediction Model for Human Ages

Frontiers in Bioengineering and Biotechnology, 2020
Aging was a biological process under regulations from both inherited genetic factors and various molecular modifications within cells during the lifespan.
Xiaoqian Gao, Shuai Liu, Haoqiu Song, Haoqiu Song, Xin Feng, Meiyu Duan, Lan Huang, Fengfeng Zhou   +7 more
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source