Results 141 to 150 of about 1,551,089 (266)

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

Proceedings of the 2017 International Conference of The Computational Social Science Society of the Americas [PDF]

, 2017

openalex   +1 more source

Situated Knowledges and Partial Perspectives: A Framework for Radical Objectivity in Computational Social Science and Computational Humanities

, 2022
Laura K. Nelson
openalex   +2 more sources

Computational Social Sciences in China: A Decade of Development

, 2022
Yisu Zhou
openalex   +2 more sources

Elasticity of Diametrically Compressed Microfabricated Woodpile Lattices

Advanced Engineering Materials, EarlyView.
Modulus–porosity relationship is derived for woodpile lattices with struts under diametrical compression. The formula presented here that Young's modulus is proportional to the square of the volume fraction E˜ρ2$E \sim \left(\rho\right)^{2}$ is shown to be consistent with computations and laboratory experiments on 3D‐printed samples.
Faezeh Shalchy, Atul Bhaskar
wiley   +1 more source

Identifying vital spreaders in large-scale networks based on neighbor multilayer contributions

Frontiers in Physics
IntroductionIdentifying influential spreaders in complex networks is crucial for understanding information propagation and disease immunity. The spreading ability of a node has been commonly assessed through its neighbor information.
Weiwei Zhu, Xuchen Meng, Jiaye Sheng, Dayong Zhang   +3 more
doaj   +1 more source

FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
The digitalization in materials science and engineering is discussed, emphasizing the importance of digital workflows and ontologies in managing diverse experimental data. Challenges such as quality assurance and data interoperability are tackled with semantic web technologies, focusing and introducing the tensile test ontology (TTO).
Markus Schilling, Bernd Bayerlein, Philipp von Hartrott, Jörg Waitelonis, Henk Birkholz, Pedro Dolabella Portella, Birgit Skrotzki   +6 more
wiley   +1 more source

Can Large Language Models Transform Computational Social Science?

, 2023
Caleb Ziems, William A. Held, Omar Ahmed Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang   +5 more
openalex   +2 more sources

Numerical Studies of Influencing Factors on the Homogeneity of the Powder Mixture during the Powder Spreading Process of Powder Bed Fusion–Laser Beam/Metal

Advanced Engineering Materials, EarlyView.
AISI 304L stainless steel powder is mixed with silicon nitride (Si3N4) powder and processed by PBF‐LB/M, allowing partial retention of Si3N4. The numerical approach effectively predicts the Si3N4 powder homogeneity and N content distribution on the powder bed. Recent studies have focused on the alloying of nitrogen (N) in high‐alloy stainless steels by
Yuanbin Deng, Ziping Sang, Jiali Zhang, Felix Radtke, Louis Becker, Simone Herzog, Sebastian Weber, Christoph Broeckmann   +7 more
wiley   +1 more source

Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models [PDF]

arXiv
The recent wave of artificial intelligence, epitomized by large language models (LLMs), has presented opportunities and challenges for methodological innovation in political science, sparking discussions on a potential paradigm shift in the social sciences.
arxiv