Results 71 to 80 of about 31,264 (268)

Can Large Language Models Transform Computational Social Science?

Computational Linguistics
Abstract Large language models (LLMs) are capable of successfully performing many language processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify and explain social phenomena like persuasiveness and political ideology, then LLMs could augment the computational social science (CSS) pipeline in ...
Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang   +5 more
openaire   +3 more sources

Linear Logic in Computer Science: Linearity and Nonlinearity in Distributed Computation

, 2004
G. Winskel
semanticscholar   +1 more source

Multi‐Omics Integration for Advancing Glioma Precision Medicine

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Gliomas are among the most malignant and aggressive tumors of the central nervous system, characterized by the absence of early diagnostic markers, poor prognosis, and a lack of effective treatments. Advances in high‐throughput technologies have facilitated a refined molecular classification of gliomas, incorporating genetic features. However,
Maria Guarnaccia, Valentina La Cognata, Giulia Gentile, Giovanna Morello, Sebastiano Cavallaro   +4 more
wiley   +1 more source

Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer, Frauke Stascheit, Maximilian Mönch, Paolo Doksani, Carla Dusemund, Meret Herdick, Philipp Mergenthaler, Maike Stein, Amani Suboh, Jutta Schröder‐Braunstein, Guido Wabnitz, Jan D. Lünemann, Sophie Lehnerer, Sarah Hoffmann, Andreas Meisel   +14 more
wiley   +1 more source

The Case of a 28‐Year‐Old Woman With Medically Refractory Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We present the case of a 28‐year‐old right‐handed woman with medically refractory focal epilepsy. Her seizure semiology and electroencephalography (EEG) indicated a seizure onset zone in the right central‐parietal area. However, both MRI and PET scans were unremarkable, showing no focal lesions or areas of altered metabolism.
Rishi Sharma, Ilo Leppik, Thomas Henry, Thaddeus Walczak, Sima Patel, Robert McGovern   +5 more
wiley   +1 more source

Toolkits in first year computer science: a pedagogical imperative

Technical Symposium on Computer Science Education, 2000
Richard Rasala
semanticscholar   +1 more source

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte, Lucy Norcliffe‐Kaufmann, Maria Luisa Cotrina, Zenith Khan, Kaia Dalamo, Patricio Millar Vernetti, Matthew Lawless, Elisabetta Morini, Monica Salani, Marla Weetall, Jana Narasimhan, Agostino G. Rocha, Susan A. Slaugenhaupt, Horacio Kaufmann   +13 more
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Linguistic and computational modeling in language science [PDF]

, 2018
Teich, Elke, Fankhauser, Peter
openaire   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel, Charlotte Hennessey, Hannah Lee, Pia Parekh, Sheng‐Han Kuo, Ami Kumar   +5 more
wiley   +1 more source