Results 101 to 110 of about 5,152,998 (374)

Signatures of currency vertices

, 2008
Many real-world networks have broad degree distributions. For some systems, this means that the functional significance of the vertices is also broadly distributed, in other cases the vertices are equally significant, but in different ways.
Albert R., Arita M., Buckley F., Caldarelli G., Ebel H., Gleiser P., Guimerà R., Guimerà R., Guimerà R., Holme P., Holme P., Holme P., Huss M., Lusseau D., Ma H.-W., Maslov S., Newman M. E. J., Newman M. E. J., Newman M. E. J., Newman M. E. J., Rosvall M., Solé R. V., Wagner A., Wasserman S., White J. G., Zhao J., Zhao J.   +26 more
core   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

The Mention in Music Education in primary and early-childhood education degrees in Spain: Presence and approach

Revista Española de Pedagogía
Given the current situation with regards to the publication of the Development Orders to Improve University Teaching approved by Royal Decree 822/2021, which might affect degree mentions in Spain, this research focuses on a study of the form of the ...
Ángela Morales, Marta Martínez Rodríguez, Miren Pérez Eizaguirre, Isabel Montaraz   +3 more
doaj   +1 more source

CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set

Advanced Intelligent Systems, EarlyView.
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng, Wenjian Liu, Sheng Peng, Yuankun Liu, Wanlei Zhou   +4 more
wiley   +1 more source

Atonal Music: Can Uncertainty Lead to Pleasure?

Frontiers in Neuroscience, 2019
In recent years, the field of neuroaesthetics has gained considerable attention with music being a favored object of study. The majority of studies concerning music have, however, focused on the experience of Western tonal music (TM), which is ...
Iris Mencke, D. Omigie, Melanie Wald-Fuhrmann, E. Brattico   +3 more
semanticscholar   +1 more source

Engaging and strengthening youth through international community‐based research: Implementation and evaluation of an International Youth Advisory Board

American Journal of Community Psychology, EarlyView.
Abstract Youth advisory boards are ubiquitous in community‐based research, yet there is limited description of their development or direct benefits to participants within international research contexts. This convergent mixed‐method study describes and evaluates the design and implementation of a bilingual International Youth Advisory Board (IYAB) of ...
Shelley L. Craig, Ashley S. Brooks, Gabriel Soto Cristobal, Jenny Hui, Hayley Pelletier, Rachael Pascoe, Lenin Zamorano, The INQYR International Youth Advisory Board   +7 more
wiley   +1 more source

Efficient acoustic index for music retrieval with various degrees of similarity [PDF]

, 2002
Cheng Yang
openalex   +2 more sources

The genetic basis of music ability

Frontiers in Psychology, 2014
Music is an integral part of the cultural heritage of all known human societies, with the capacity for music perception and production present in most people.
Yi Ting eTan, Gary E McPherson, Isabelle ePeretz, Isabelle ePeretz, Samuel F Berkovic, Sarah J Wilson, Sarah J Wilson   +6 more
doaj   +1 more source

Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon, Morgan Cheatham, Thales A. C. de Guimarães, Dat Duong, Melissa A. Haendel, Tzung‐Chien Hsieh, Behnam Javanmardi, Britt Johnson, Peter Krawitz, Paul Kruszka, Tim Laurent, Ni‐Chung Lee, Kirsty McWalter, Michel Michaelides, Klaus Mohnike, Nikolas Pontikos, Maria J. Guillen Sacoto, Yousif J. Shwetar, Vincent D. Ustach, Rebekah L. Waikel, William Woof   +20 more
wiley   +1 more source