Results 121 to 130 of about 168,974 (306)

Associations of Lifestyle‐Related Factors and Psoriatic Arthritis Disease Activity: The Dutch South West Psoriatic Arthritis Study

Arthritis Care &Research, EarlyView.
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients who were newly diagnosed with PsA between 2013 and 2023.
Batoul Hojeij, Ilja Tchetverikov, Marc R. Kok, Marijn Vis, Yvonne Goekoop‐Ruiterman, Jessica Bijsterbosch, Paul Baudoin, Reinhard Bos, Jos H. van der Kaap, Petra Kok, Lindy‐Anne Korswagen, Jolanda J. Luime   +11 more
wiley   +1 more source

MODIFICATION OF THE DECOMPOSITION METHOD OF CONSTRUCTING MULTIVARIATE POLYNOMIAL REGRESSION WHICH IS LINEAR WITH RESPECT TO UNKNOWN COEFFICIENTS

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
The authors created a universal method of constructing multivariate polynomial regression given by a redundant representation. The method is synthetic, it organically combines a decomposition method and the modified group method of data handling.
Alexander Pavlov, Maxim Holovchenko, Valeriia Drozd   +2 more
doaj   +1 more source

Water Quality Estimation Through Machine Learning Multivariate Analysis

The paper has been accepted at Italian Workshop on Neural Networks (WIRN ...
Cardia, Marco, Chessa, Stefano, Micheli, Alessio, Giuliana Luminare, Antonella, Gambineri, Francesca   +4 more
openaire   +3 more sources

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   +2 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

From Geometry to Function: Programmable Mechanical Response in 3D‐Printed Adipose‐Inspired Soft Metamaterials

Advanced Functional Materials, EarlyView.
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo, Gianmarco Dolino, Damiano Coato, Paolo Gargiulo, Emanuele Luigi Carniel   +4 more
wiley   +1 more source

Suppression of information spreading in MEG source estimation using a functionally-structured Bayesian approach

NeuroImage
Magnetoencephalography (MEG) is a noninvasive method that can measure human brain activity with high temporal resolution. However, the spatial resolution of MEG is limited because MEG signals are recorded by sensors located outside the head. Although MEG
Kai Miyazaki, Shun Nirasawa, Naoki Ishibashi, Kazuaki Akamatsu, Okito Yamashita, Yoichi Miyawaki   +5 more
doaj   +1 more source

The Association between the Parents’ Knowledge of Carbohydrate Counting and the Glycaemic Control of the Children with Type 1 Diabetes

International Journal of Pediatrics, 2018
Background. Medical nutritional therapy is an important component of type 1 diabetes (T1D) care in children and carbohydrate counting is one such method.
Priyanga Ranasinghe, Vidarsha Rajini Senadeera, Rashmi Senarathna, Uththara Sapurnika, Vindhya Ramanayake, Ranil Jayawardena   +5 more
doaj   +1 more source

Si‐Doped Nanocrystalline Diamond as Highly Sensitive Luminescence Thermometer for the Physiological Temperature Range

Advanced Functional Materials, EarlyView.
In this work, diamonds with negative charged silicon‐vacancy (SiV−) centers have been designed for use as thermometers in biomedical applications. Multiparametric analysis of the emission characteristics of the SiV− centers provides extraordinary sensitivity for temperature detection in the physiological temperature range.
María Gragera, Iván Carrillo‐Berdugo, Josue Millán, Paulius Pobedinskas, Antonio Freire, Ken Haenen, Javier Navas   +6 more
wiley   +1 more source

Bayes Estimation for the Mean Matrix of the SSMESN Family of Matrix Variate Distributions

Austrian Journal of Statistics
In this paper, the problem of finding a Bayes estimation for the mean matrix of the scale and shape mixtures of matrix variate extended skew normal distributions is considered, and its applications in the multivariate linear regression and the stress ...
Amir Rezaei, Fatemeh Yousefzadeh
doaj   +1 more source