Results 201 to 210 of about 2,968,753 (303)

“Low‐Positive” MOG‐IgG Cases Among Adults With a First Event Suggestive of Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the prevalence and clinical characteristics of patients with “low‐positive” (LP) MOG‐IgG (titres 1:160–1:320) among adults with a first demyelinating event (FDE) suggestive of multiple sclerosis (MS). Methods From the Barcelona CIS inception cohort, we included adult patients with serum collected ≤ 6 months from the FDE.
Javier Villacieros‐Álvarez, Carmen Espejo, Georgina Arrambide, Mireia Castillo, Marta Rodriguez, Helena Ariño, Iker Elosua, Carmen Tur, Angela Vidal‐Jordana, Andreu Vilaseca, Joaquín Castilló, Ingrid Galán, Luciana Midaglia, Carlos Nos, Breogan Rodríguez‐Acevedo, Ana Zabalza, Luca Bollo, Agustín Pappolla, René Carvajal, Neus Mongay‐Ochoa, Jordi Rio, Jaume Sastre‐Garriga, Manuel Comabella, Gesualdina Busiello, Sofia Sceppacuercia, Àlex Rovira, Xavier Montalban, Mar Tintoré, Cristina Auger, Álvaro Cobo‐Calvo   +29 more
wiley   +1 more source

Revisiting price linkages between London and Shanghai base metal futures markets: A time-frequency connectedness analysis. [PDF]

PLoS One
Pan C, Shen W.
europepmc   +1 more source

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno, Matteo Conti, Ettore Dolcetti, Federica Azzolini, Angela Borrelli, Roberta Fantozzi, Mario Stampanoni Bassi, Giovanni Galifi, Giuseppe Maccarrone, Luca Montaguti, Marco Cervigni, Maddalena Dal Pozzo, Roberto Furlan, Annamaria Finardi, Girolama Alessandra Marfia, Marco Salvetti, Antonella Conte, Fabio Buttari, Diego Centonze, Luana Gilio   +19 more
wiley   +1 more source

Geopolitical risks and the spillover of food market risks: case analysis of the Chinese grain market. [PDF]

Front Nutr
Li J, Yang Y.
europepmc   +1 more source

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

Arthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo, Ashish P. Balar, Aidan K. Strother, Subhash Kulkarni, Michael Hughes, Brian Skaug, Maureen D. Mayes, Shervin Assassi, Ali Y. Ayla, Zsuzsanna H. McMahan   +9 more
wiley   +1 more source

Understanding student optimism through academic grit, social connectedness, and resilience. [PDF]

Front Psychol
Sun Y, Wang L.
europepmc   +1 more source

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

Arthritis Care &Research, Accepted Article.
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif, Catherine Wright, Samantha Rodriguez, Sarah Graves, Tamar Krishnamurti, Mehret Birru Talabi   +5 more
wiley   +1 more source

Editorial: Promoting brain health and emotional regulation through prosocial behaviors, social connectedness, and AI. [PDF]

Front Hum Neurosci
Mota N.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

School Climate, Learning Behavior Patterns, and Procrastination: Emotional and Motivational Pathways to School Success. [PDF]

Eur J Investig Health Psychol Educ
Sorrenti L, Meduri CF, Caparello C, Filippello P.   +3 more
europepmc   +1 more source