Results 131 to 140 of about 1,550,681 (331)
The application of metabolomics technology to epidemiological studies is emerging as a new approach to elucidate disease etiology and for biomarker discovery.
Mary C. Playdon +23 more
doaj +1 more source
Objective We conducted formative research aimed at identifying solutions that address inequitable health outcomes in lupus due to adverse social determinants of health. Methods We conducted a search for keywords which provided insights into potential solutions and initiatives underway. An advisory panel of lupus experts iteratively reviewed the list of
Joy Buie +11 more
wiley +1 more source
The impact of positive lifestyle behaviors on direct healthcare cost savings for low back pain
Objective This study aimed to investigate the relationship between a previously purpose‐developed lifestyle behavior scale and healthcare cost savings related to low back pain (LBP). Methods This longitudinal study utilised data from the AUstralian Twin BACK (AUTBACK) study. LBP and lifestyle behavior measures were collected at baseline.
Ye Tian +8 more
wiley +1 more source
OLAP (online analytical processing) is a key technology of business intelligence based on relational data. In big data era, people want to achieve high performance OLAP using a large cluster of ordinary nodes.
Xiaoyong Du, Yueguo Chen, Xiongpai Qin
doaj
ANALISA TRANSAKSI SISTEM KREDIT MENGGUNAKAN METODE ONLINE ANALYTICAL PROCESSING
Defitroh Chen Sami'un +2 more
openalex +2 more sources
Objective Ultrasound (US) has been proposed as a potential tool for assessing skin fibrosis in systemic sclerosis (SSc). However, a large‐scale comparison of US‐based assessment with histological markers of skin fibrosis has not been reported. We evaluated the US‐based skin assessments for their face validity (differentiation between involved SSc and ...
Ruhani Desai +12 more
wiley +1 more source
A General Model for Online Analytical Processing of Complex Data [PDF]
It has been well recognized that online analytical processing (OLAP) can provide important insights into huge archives of data. While the conventional OLAP model is capable of analyzing relational business data, it often cannot fit many kinds of complex data in emerging applications, such as bio-medical data, time series and semi-structured data.
openaire +2 more sources
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

