Results 91 to 100 of about 36,296 (256)

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

Fairness in Social Influence Maximization

Companion Proceedings of The 2019 World Wide Web Conference, 2019
Algorithms for social influence maximization have been extensively studied for the purpose of strategically choosing an initial set of individuals in a social network from which information gets propagated. With many applications in advertisement, news spread, vaccination, and online trend-setting, this problem is a central one in understanding how ...
Ana-Andreea Stoica, Augustin Chaintreau
openaire   +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

Location-Aware Influence Blocking Maximization in Social Networks

IEEE Access, 2018
In real social networks, it is often the case that opposite opinions, ideas, products, or innovations are propagating simultaneously. Although the competitive influence problem has been extensively studied, existing works neglect the fact that the ...
Wenlong Zhu, Wu Yang, Shichang Xuan, Dapeng Man, Wei Wang, Xiaojiang Du   +5 more
doaj   +1 more source

Anti‐CD19 CAR T Cells in Autoimmune Encephalitis: Inflammation Controlled, Neurodegeneration Unchecked?

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Just recently, successful chimeric antigen receptor (CAR) T cell therapy was reported in the first patient with refractory, anti‐diacylglycerol lipase alpha (DAGLA) antibody‐mediated autoimmune encephalitis, achieving partial clinical remission.
Dimitrios Mougiakakos, Marwa Al‐Dubai, Denise Walther, Dominic Borie, Jan D. Lünemann, Marc Pawlitzki, Sven G. Meuth, Solveig Henneicke, Stefan Vielhaber, Stefanie Schreiber   +9 more
wiley   +1 more source

Identification of key node groups based on motif structure and degree information

Tongxin xuebao
In order to explore the impact of higher-order structures with smaller scales on key node group mining problems and with the goal of optimizing network propagation, a key node group recognition algorithm was proposed based on motif structure and degree ...
Yunyun YANG, Liao ZHANG, Hailong YU, Li WANG   +3 more
doaj   +2 more sources

Plasma EV Proteomics Identifies ECM Remodeling and Inflammatory Proteins LUM and C7 as Candidate Biomarkers in FSHD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Facioscapulohumeral muscular dystrophy (FSHD) is one of the most debilitating and common muscular dystrophies. Despite its severity, no approved therapy exists for FSHD patients. However, several therapeutic candidates are currently under development, and some have recently entered clinical trials, marking the need for reliable ...
Mustafa Bilal Bayazit, Chiranth K. Nagaraj, Jackson S. Newell, Kim Truc Nguyen, Xilal Y. Rima, Jacob Doon‐Ralls, Eduardo Reátegui, Jeffrey M. Statland, Rabi Tawil, Kevin M. Flanigan, Scott Q. Harper, Nizar Y. Saad   +11 more
wiley   +1 more source

A new technique for influence maximization on social networks using a moth-flame optimization algorithm. [PDF]

Heliyon, 2023
Cui Q, Liu F.
europepmc   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Research on Influence Diffusion in Social Network

大数据, 2015
With the wide spread of internet and big data research and applications,influence diffusion research in social network becomes one of the hot topics in data mining and social network analysis in recent years.The main results on social influence diffusion
Wei Chen
doaj