Results 91 to 100 of about 6,438,675 (354)
Mitochondria‐associated membranes (MAMs) are contact sites between the endoplasmic reticulum and mitochondria that regulate calcium signaling, lipid metabolism, autophagy, and stress responses. This review outlines their molecular organization, roles in cellular homeostasis, and how dysfunction drives neurodegeneration, metabolic disease, cancer, and ...
Viet Bui +3 more
wiley +1 more source
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox +3 more
wiley +1 more source
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg +26 more
wiley +1 more source
A globally convergent algorithm for MPCC
We propose a penalty formulation based on the new regularization scheme for mathematical programs with complementarity constraints (MPCCs). We present an active set method which solves a sequence of penalty-regularized problems. We study global convergence properties of the method under the MPCC-linear independence constraint qualification.
Abdelhamid Benchakroun +2 more
openaire +3 more sources
Objectives This study aims to describe the frequency and timing of physician referrals to physical therapists (PT) and other treatments prescribed over 12 months in patients with recent onset of knee osteoarthritis (KOA). The study also aims to identify determinants of early PT referrals.
Samannaaz S. Khoja +4 more
wiley +1 more source
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem [PDF]
We consider solving the $\ell_1$-regularized least-squares ($\ell_1$-LS) problem in the context of sparse recovery, for applications such as compressed sensing. The standard proximal gradient method, also known as iterative soft-thresholding when applied
Xiao, Lin, Zhang, Tong
core +1 more source
Objectives This study aimed to identify the frequency and determinants of Lupus Low Disease Activity State (LLDAS) and Definition of Remission in SLE (DORIS‐remission) attainment in systemic lupus erythematosus (SLE) patients with clinically active disease, and the frequency and determinants of flare and damage accrual after target attainment.
Yanjie Hao +39 more
wiley +1 more source
Lightweight Multi-Task Learning Method for System Log Anomaly Detection
Log anomaly detection is a crucial task in monitoring IT systems along with metrics and traces. An anomaly could be detected by either one of two types of logs: individual logs or log sequences.
Tuan-Anh Pham, Jong-Hoon Lee
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
As health and well-being become central concerns in the post-pandemic tourism landscape, health tourism is evolving to prioritize not only physical recovery but also psychological engagement and emotional value.
Tianhao Qin, Maowei Chen
doaj +1 more source

