Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1001/jamacardio.2022.2614 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
An efficient swarm evolution algorithm with probability learning for the black and white coloring problem.
Sci Rep
July 2025
School of Computer Science, Chengdu University, Chengdu, 610106, China.
There is a graph G = (V, E), which has n vertices and l edges. Color the vertices of G black or white, ensuring no black vertex is adjacent to any white vertex, thus partitioning them into disjoint black and white sets. The optimal solution of the black and white coloring (BWC) problem is defined as the coloring scheme that maximizes the number of white vertices in the corresponding set, given a fixed number of black vertices.
View Article and Find Full Text PDFFunnel theorems for spreading on networks.
Chaos
July 2025
Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel.
We derive the funnel theorems for the Bass and susceptible-infected models on networks that describe the spreading of innovations and epidemics. Let j be a node and divide the remaining nodes into L≥2 disjoint sets {Al}l=1L. The funnel theorems provide lower and upper bounds for the difference between the susceptibility probability of j and the product of its susceptibility probability on the L modified networks in which j can only be influenced by incoming edges from Al.
View Article and Find Full Text PDFExploring the organisation and delivery of falls management in care homes for older people in England.
BMC Geriatr
July 2025
Centre for Rehabilitation and Ageing, University of Nottingham, Nottingham, UK.
Background: To explore the organisational context of English care homes in delivering falls management and identify barriers and facilitators to help design future service delivery.
Methods: Non-participant observations and semi-structured interviews in one region of England with care home staff, commissioners and individuals involved in the organisation of falls management, care home managers, care home owners and residents. Barriers and facilitators were identified by thematic analysis and mapped against the Consolidated Framework for Implementation Research (CFIR).
Overlapping community detection via Layer-Jaccard similarity incorporated nonnegative matrix factorization.
Neural Netw
September 2025
Department of Automation, Xiamen University, 361005, China; Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-making, Xiamen, 361005, China. Electronic address:
As information modernization progresses, the connections between entities become more elaborate, forming more intricate networks. Consequently, the emphasis on community detection has transitioned from discerning disjoint communities towards the identification of overlapping communities. A variety of algorithms based on the sparse adjacency matrix, which are sensitive to edge connections, are suitable for detecting edge-sparse areas between overlapping communities but lack the ability to detect edge-dense areas within the overlapping communities.
View Article and Find Full Text PDFMultiOmicsAgent: Guided Extreme Gradient-Boosted Decision Trees-Based Approaches for Biomarker-Candidate Discovery in Multiomics Data.
J Proteome Res
June 2025
Institute of Translational Medicine at the Department of Health Sciences and Technology, ETH, Zurich 8093, Switzerland.
MultiOmicsAgent (MOAgent) is an innovative, Python-based open-source tool for biomarker discovery, utilizing machine learning techniques, specifically extreme gradient-boosted decision trees, to process multiomics data. With its cross-platform compatibility, user-oriented graphical interface, and well-documented API, MOAgent not only meets the needs of both coding professionals and those new to machine learning but also addresses common data analysis challenges like normalization, data incompleteness, class imbalances and data leakage between disjoint data splits. MOAgent's guided data analysis strategy opens up data-driven insights from digitized clinical biospecimen cohorts, making advanced data analysis accessible and reliable for a wide audience.
View Article and Find Full Text PDF