Results 61 to 70 of about 761,759 (253)

Associations of Frailty With the Risk of Incident Cancer and Cancer‐Related Mortality in Veterans With Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective This study investigated the association between frailty and cancer incidence and mortality in patients with rheumatoid arthritis (RA). It aimed to identify how frailty influences cancer risk and cancer‐specific outcomes. Methods This retrospective cohort study analyzed data from the Veterans’ Affairs Rheumatoid Arthritis Registry (2002–2023).
Bhavik Bansal, Aaron Baraff, Katherine Wysham, James S. Andrews, Bryant R. England, Ted R. Mikuls, Joshua Baker, Kaleb Michaud, Alexa Meara, Una Makris, Carolyn Presley, Ariela Orkaby, Namrata Singh   +12 more
wiley   +1 more source

SymScal: symbolic multidimensional scaling of interval dissimilarities [PDF]

Multidimensional scaling aims at reconstructing dissimilaritiesbetween pairs of objects by distances in a low dimensional space.However, in some cases the dissimilarity itself is unknown, but therange of the dissimilarity is given.
Rodriguez, O., Groenen, P.J.F., Winsberg, S., Diday, E.   +3 more
core  

Sustainability Analysis of Millennial Farmers' Development in Greater Malang

Jurnal Ilmu Sosial dan Humaniora
Millennial farmers growing in the digital era have a strong ability to leverage the power of networks and social technology. In recent times, the agricultural scenery in Greater Malang has experienced substantial changes due to the heightened engagement
Rahajeng Kumara Ardyanti, Mangku Purnomo, Asihing Kustanti   +2 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

3WaySym-Scal: three-way symbolic multidimensional scaling [PDF]

Multidimensional scaling aims at reconstructing dissimilarities between pairs of objects by distances in a low dimensional space.However, in some cases the dissimilarity itself is not known, but the range, or a histogram of the dissimilarities is given ...
Groenen, P.J.F., Winsberg, S.
core  

Developing Affective Mental Imagery Stimuli with Multidimensional Scaling [PDF]

Tutorials in Quantitative Methods for Psychology, 2015
The goal of this paper is to provide an example of how multidimensional scaling (MDS) can be used for stimuli development. The study described in this paper illustrates this process by developing affective mental imagery stimuli using ...
Matthew J. Facciani
doaj   +2 more sources

Multidimensional scaling [PDF]

, 2004
Multidimensional scaling is a statistical technique to visualize dissimilarity data. In multidimensional scaling, objects are represented as points in a usually two dimensional space, such that the distances between the points match the observed ...
Groenen, P.J.F. (Patrick), Velden, M. (Michel) van de   +1 more
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Multidimensional Scaling Using Majorization: SMACOF in R [PDF]

In this paper we present the methodology of multidimensional scaling problems (MDS) solved by means of the majorization algorithm. The objective function to be minimized is known as stress and functions which majorize stress are elaborated. This strategy
Patrick Mair, Jan de Leeuw
core  

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source