143 research outputs found
International Post Stroke Epilepsy Research Consortium (IPSERC): A consortium to accelerate discoveries in preventing epileptogenesis after stroke
A class II MHC-targeted vaccine elicits immunity against SARS-CoV-2 and its variants
The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in over 100 million infections and millions of deaths. Effective vaccines remain the best hope of curtailing SARS-CoV-2 transmission, morbidity, and mortality. The vaccines in current use require cold storage and sophisticated manufacturing capacity, which complicates their distribution, especially in less developed countries. We report the development of a candidate SARS-CoV-2 vaccine that is purely protein based and directly targets antigen-presenting cells. It consists of the SARS-CoV-2 Spike receptor-binding domain (Spik
Collateral blood vessels in acute ischemic stroke: a physiological window to predict future outcomes
Arteriovenous Malformation with an Occlusive Feeding Artery Coexisting with Unilateral Moyamoya Disease
Timing and Predictors of Recanalization After Anticoagulation in Cerebral Venous Thrombosis.
BACKGROUND AND PURPOSE
Vessel recanalization after cerebral venous thrombosis (CVT) is associated with favorable outcomes and lower mortality. Several studies examined the timing and predictors of recanalization after CVT with mixed results. We aimed to investigate predictors and timing of recanalization after CVT.
METHODS
We used data from the multicenter, international AntiCoagulaTION in the Treatment of Cerebral Venous Thrombosis (ACTION-CVT) study of consecutive patients with CVT from January 2015 to December 2020. Our analysis included patients that had undergone repeat venous neuroimaging more than 30 days after initiation of anticoagulation treatment. Prespecified variables were included in univariate and multivariable analyses to identify independent predictors of failure to recanalize.
RESULTS
Among the 551 patients (mean age, 44.4±16.2 years, 66.2% women) that met inclusion criteria, 486 (88.2%) had complete or partial, and 65 (11.8%) had no recanalization. The median time to first follow-up imaging study was 110 days (interquartile range, 60-187). In multivariable analysis, older age (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.03-1.07), male sex (OR, 0.44; 95% CI, 0.24-0.80), and lack of parenchymal changes on baseline imaging (OR, 0.53; 95% CI, 0.29-0.96) were associated with no recanalization. The majority of improvement in recanalization (71.1%) occurred before 3 months from initial diagnosis. A high percentage of complete recanalization (59.0%) took place within the first 3 months after CVT diagnosis.
CONCLUSION
Older age, male sex, and lack of parenchymal changes were associated with no recanalization after CVT. The majority recanalization occurred early in the disease course suggesting limited further recanalization with anticoagulation beyond 3 months. Large prospective studies are needed to confirm our findings
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide.
This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide.
This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide.
This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide.
This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work
Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop
The annual workshop on multiword expressions takes place since 2001 in conjunction with major computational linguistics conferences and attracts the attention of an ever-growing community working on a variety of languages, linguistic phenomena and related computational processing issues. MWE 2017 took place in Valencia, Spain, and represented a vibrant panorama of the current research landscape on the computational treatment of multiword expressions, featuring many high-quality submissions. Furthermore, MWE 2017 included the first shared task on multilingual identification of verbal multiword expressions. The shared task, with extended communal work, has developed important multilingual resources and mobilised several research groups in computational linguistics worldwide.
This book contains extended versions of selected papers from the workshop. Authors worked hard to include detailed explanations, broader and deeper analyses, and new exciting results, which were thoroughly reviewed by an internationally renowned committee. We hope that this distinctly joint effort will provide a meaningful and useful snapshot of the multilingual state of the art in multiword expressions modelling and processing, and will be a point point of reference for future work
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