Results 161 to 170 of about 1,104,337 (260)

HETEROGENEITY ANALYSIS VIA INTEGRATING MULTI-SOURCES HIGH-DIMENSIONAL DATA WITH APPLICATIONS TO CANCER STUDIES. [PDF]

Stat Sin, 2023
Zhong T, Zhang Q, Huang J, Wu M, Ma S.
europepmc   +1 more source

Integrating Patient‐Reported Quality Measures in SLE: Development of the American College of Rheumatology Implementation Guide

Arthritis Care &Research, Accepted Article.
Objective To support high‐quality, patient‐centered care for systemic lupus erythematosus (SLE), the American College of Rheumatology (ACR) developed evidence‐based measures incorporating clinical and patient‐reported outcomes measures (PROMs). Using the Consolidated Framework for Implementation Research (CFIR), we conducted semi‐structured interviews ...
Catherine Nasrallah, Cherish Wilson, Christine Hariz, Christie M Bartels, Shanthini Kasturi, Wambui Machua, Amy Bennett, Kate Chiseri, Allison Plitman, Starla Hairston Blanks, April Jorge, Patti Katz, Jinoos Yazdany, Shivani Garg   +13 more
wiley   +1 more source

Repeated Sieving for Prediction Model Building with High-Dimensional Data. [PDF]

J Pers Med
Liu L, Jung SH.
europepmc   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

Integrative rank-based regression for multi-source high-dimensional data with multi-type responses. [PDF]

J Appl Stat
Xu F, Ma S, Zhang Q.
europepmc   +1 more source

High-Dimensional Data Visualization

, 2017
High-dimensional data is challenging to visualize. To gain some insight in the field, there has been performed a literature research which is presented. Visualization is done to accelerate and increase interpretation of data, and there are many approaches to visualize data that exceeds three dimensions.
openaire   +1 more source

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source

Controlling false discovery rate for mediator selection in high-dimensional data. [PDF]

Biometrics
Dai R, Li R, Lee S, Liu Y.
europepmc   +1 more source

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

Lifting the curse from high-dimensional data: automated projection pursuit clustering for a variety of biological data modalities. [PDF]

Gigascience
Simpson C, Tabatsky E, Rahil Z, Eddins DJ, Tkachev S, Georgescauld F, Papalegis D, Culka M, Levy T, Gregoretti I, Meehan C, Schiller C, Bestak K, Schapiro D, Chernyshev A, Walther G, Ghosn EEB, Orlova D.   +17 more
europepmc   +1 more source