Results 121 to 130 of about 3,047,303 (249)

Estimating the prevalence and incidence of symptomatic hand OA in the Netherlands using primary care electronic health records.

open access: yesArthritis Care &Research, Accepted Article.
Objective This study estimated the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information (IPCI) database, including EHRs ...
Onur Kaya   +7 more
wiley   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Effect of drying-rewetting on elastic modulus of Portland cement paste and mortar

open access: yes, 1989
The effect of drying and rewetting on the dynamic elastic modulus of 0.4 and 0.6 W/C ratio pastes and mortar were investigated. Drying results in a significant reduction in the dynamic elastic modulus due to the moisture stress gradients.
Al-Mudaiheem, Jamal A.
core  

Advanced in Dewatering and Drying Processes

open access: yes
Drying and dewatering processes have many industrial applications, such as in the agricultural, energy, food, chemical, pharmaceutical, paper, and textile industries.

core   +1 more source

Application of a CNN-LSTM-PINN model for predicting the deviatoric stress of clayey soil under wetting-drying cycles

open access: yesFrontiers in Built Environment
IntroductionThe deviatoric stress response of clayey soil is important for evaluating soil strength, deformation behavior, and the long-term safety of engineering structures.
Xianye Zheng   +5 more
doaj   +1 more source

Low‐Temperature Imidization of Polyimides (PI) for Scalable Manufacturing of Flexible Wearable Electronics

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐temperature imidization of PEG‐modified polyimide enables fully screen‐printed, roll‐to‐roll fabrication of flexible electrodes on PET substrates, delivering robust mechanical durability and reliable ECG/EMG signal performance for wearable electronics.
Akib Abdullah Khan, Jong‐Hoon Kim
wiley   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Canadian Developments in Kiln Drying

open access: yes, 2012
The objective of this paper is to summarize recent trends related to industrial kiln drying with especial emphasis on the drying of softwood dimension lumber in Canada.
Oliveira, Luiz C De S,   +3 more
core   +1 more source

Role of motility and nutrient availability in drying patterns of algal droplets

open access: yesScientific Reports
Sessile drying droplets in various bio-related systems attracted attention due to the complex interactions between convective flows, droplet pinning, mechanical stress, wettability, and the emergence of unique patterns.
Anusuya Pal   +2 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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