Results 211 to 220 of about 8,980,708 (398)

Computational Science Education: Standards, Learning Outcomes, and Assessment [PDF]

, 2001
Osman Yaşar
openalex   +1 more source

HPDL Variant Type Correlates With Clinical Disease Onset and Severity

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Recently, a mitochondrial encephalopathy due to biallelic HPDL variants was described, associated with a broad range of clinical manifestations ranging from severe, infantile‐onset neurodegeneration to adolescence‐onset hereditary spastic paraplegia. HPDL converts 4‐hydroxyphenylpyruvate acid (4‐HPPA) into 4‐hydroxymandelate (4‐HMA),
Eun Hye Lee, Olivia Kim‐Mcmanus, Jennifer H. Yang, Richard Haas, Maha S. Zaki, Ghada M. H. Abdel‐Salam, Yuji Nakamura, Mohamed S. Abdel‐Hamind, Darius Ebrahimi‐Fakhari, Julian E. Alecu, Nicola Brunetti‐Pierri, Varunvenkat M. Srinivasan, Vykuntaraju K. Gowda, Stephanie Gross, Yasemin Alanay, Paria Najarzadeh Totbati, Manya Yadavilli, Liana Friedman, Naomi Meave Ojeda, Joseph G. Gleeson   +19 more
wiley   +1 more source

Problems with the Current Approach to the Dissemination of Computational Science Research and Its Implications for Research Integrity. [PDF]

Bull Math Biol, 2018
Gavaghan D.
europepmc   +1 more source

Discontinuous Galerkin methods: theory, computation and application (lecture notes in computational science and engineering) , by B. Cockburn, G. E. Karniadakis and C.‐W. Shu (eds), Springer, Berlin, 2000. ISBN 3‐540‐66787‐3, GB£51.50. [PDF]

, 2001
O. C. Zienkiewicz, Robert L. Taylor
openalex   +1 more source

Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Approximately half of patients with hereditary myopathies remain without a definitive genetic diagnosis after DNA next‐generation sequencing (NGS). Here, we implemented transcriptome analysis of muscle biopsies as a complementary diagnostic tool for patients with muscle disease but no definitive genetic diagnosis after exome ...
Alba Segarra‐Casas, Cristina Domínguez‐González, Daniel Natera‐de Benito, Solange Kapetanovic, Aurelio Hernández‐Laín, Berta Estévez‐Arias, Laura Llansó, Carlos Ortez, Cristina Jou, Itxaso Martí‐Carrera, Arístides López‐Márquez, Maria José Rodríguez, Laura González‐Mera, Velina Nedkova, Roberto Fernández‐Torrón, Benjamín Rodríguez‐Santiago, Cecília Jimenez‐Mallebrera, Raul Juntas‐Morales, Adolfo López‐de Munain, Jordi Surrallés, Andrés Nascimento, Eduard Gallardo, Montse Olivé, Pia Gallano, Lidia González‐Quereda   +24 more
wiley   +1 more source

Bringing computational science to the public. [PDF]

Springerplus, 2016
McDonagh JL, Barker D, Alderson RG.
europepmc   +1 more source

Pulse Pressure, White Matter Hyperintensities, and Cognition: Mediating Effects Across the Adult Lifespan

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To investigate whether pulse pressure or mean arterial pressure mediates the relationship between age and white matter hyperintensity load and to examine the mediating effect of white matter hyperintensities on cognition. Methods Demographic information, blood pressure, current medication lists, and Montreal Cognitive Assessment ...
Jade Hannan, Sarah Newman‐Norlund, Natalie Busby, Sarah C. Wilson, Roger Newman‐Norlund, Chris Rorden, Julius Fridriksson, Leonardo Bonilha, Nicholas Riccardi   +8 more
wiley   +1 more source

The 3rd anniversary of Frontiers in Virology: aiming to consolidate the virus research

Frontiers in Virology
Akio Adachi, Takaaki Koma, Masako Nomaguchi   +2 more
doaj   +1 more source

Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough? [PDF]

J Affect Disord, 2019
Allen NB, Nelson BW, Brent D, Auerbach RP.   +3 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source