Results 71 to 80 of about 90,344 (295)

Proportion of Acceptable Symptom State Nearly Tripled With Improvements in Patient‐Reported Outcomes for All Symptom State Subgroups: A Registry Study of More Than 15,000 Patients With Osteoarthritis in Digital Education and Exercise Therapy

Arthritis Care &Research, EarlyView.
Objective This study investigated trajectories of patient acceptable symptom state (PASS) among participants of digital education and exercise therapy for knee and hip osteoarthritis. Methods A longitudinal observational study among individuals aged at least 40 years who participated in the digital program.
Ali Kiadaliri, L. Stefan Lohmander, Amanda E. Nelson, Leif E. Dahlberg   +3 more
wiley   +1 more source

Amalgamation for inverse and generalized inverse semigroups [PDF]

Transactions of the American Mathematical Society, 1988
For any amalgam ( S , T ; U ) (S,\,T;\,U) of inverse semigroups, it is shown that the natural partial order on S ∗ U T S{{\ast }_U}T , the (inverse semigroup) free
openaire   +2 more sources

Adipokines and Associations with Incident Osteoporotic Fracture in Patients with Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Purpose We assessed whether circulating adipokines are associated with incident fractures in patients with rheumatoid arthritis (RA). Methods Three adipokines (adiponectin, leptin, fibroblast growth factor [FGF]‐21) were measured using banked enrollment serum from participants in a longitudinal RA cohort.
Joshua F. Baker, Bryant R. England, Michael D. George, Hannah Brubeck, Brian Sauer, Aleksander Lenert, Punyasha Roul, Geoffrey M. Thiele, Ted R. Mikuls, Katherine D. Wysham   +9 more
wiley   +1 more source

Invariance property of a five matrix product involving two generalized inverses

Analele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021
Matrix expressions composed by generalized inverses can generally be written as f(A−1, A−2, . . ., A−k), where A1, A2, . . ., Ak are a family of given matrices of appropriate sizes, and (·)− denotes a generalized inverse of matrix.
Jiang Bo, Tian Yongge
doaj   +1 more source

A generalized inverse for matrices [PDF]

Mathematical Proceedings of the Cambridge Philosophical Society, 1955
This paper describes a generalization of the inverse of a non-singular matrix, as the unique solution of a certain set of equations. This generalized inverse exists for any (possibly rectangular) matrix whatsoever with complex elements. It is used here for solving linear matrix equations, and among other applications for finding an expression for the ...
openaire   +3 more sources

Financial Distress and its Determinants in Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objective To quantify the degree of financial distress and identify its determinants in adults with rheumatoid arthritis (RA) given the frequent chronic use of expensive disease modifying therapies. Methods We identified adults enrolled in the FORWARD databank with either RA or non‐inflammatory musculoskeletal disease (NIMSKD) completing the Functional
Amber Brown Keebler, Yunju Im, Sofia Pedro, Ted R. Mikuls, Edward S. Peters, Kaleb Michaud   +5 more
wiley   +1 more source

Best linear unbiased estimation for varying probability with and without replacement sampling

Special Matrices, 2019
When sample survey data with complex design (stratification, clustering, unequal selection or inclusion probabilities, and weighting) are used for linear models, estimation of model parameters and their covariance matrices becomes complicated.
Haslett Stephen
doaj   +1 more source

Equalities and inequalities for ranks of products of generalized inverses of two matrices and their applications

Journal of Inequalities and Applications, 2016
A complex matrix X is called an { i , … , j } $\{i,\ldots, j\}$ -inverse of the complex matrix A, denoted by A ( i , … , j ) $A^{(i,\ldots, j)}$ , if it satisfies the ith, …, jth equations of the four matrix equations (i) A X A = A $AXA = A$ , (ii) X A X
Yongge Tian
doaj   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source