Results 61 to 70 of about 6,434,325 (301)

Mapping the Social Network Structure and Composition of Black Individuals With Rheumatic and Musculoskeletal Conditions

open access: yesArthritis Care &Research, EarlyView.
Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi   +27 more
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
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

Mechanical modelling of wood microstructure, an engineering approach

open access: yes, 1997
The macroscopic elastic behaviour of wood derives from the mechanical performance of the cells which form its microstructure. Numerical finite element models are presented which relate the elastic properties of the wood continuum to local cell ...
Stol, K.A.   +5 more
core   +1 more source

Dynamic viscoelastic characterization of wooden foundation piles embedded in oxygen-depleted soils using individual annual-ring specimens

open access: yesJournal of Wood Science
Assessing the deterioration of wooden piles embedded in anaerobic environments is challenging, as any changes in the density of the piles proceed very slowly.
Yuka Miyoshi   +4 more
doaj   +1 more source

Anatomical, Physical and Mechanical Properties of Lesser-Known Wood Species of Simpur (Dillenia serrata ) from Indonesia and Its Potential Uses

open access: yesDrvna Industrija
Simpur (Dillenia serrata Baehni) is a lesser-known wood species extracted from the natural tropical forest in East Luwu District, South Sulawesi Province of Indonesia.
Mody Lempang   +7 more
doaj   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Wood Properties and Processing [PDF]

open access: yes, 2020
Wood-based materials are CO2-neutral, renewable, and considered to be environmentally friendly. The huge variety of wood species and wood-based composites allows a wide scope of creative and esthetic alternatives to materials with higher environmental impacts during production, use and disposal.
openaire   +3 more sources

Basalt FRP Spike Repairing of Wood Beams [PDF]

open access: yes, 2015
This article describes aspects within an experimental program aimed at improving the structural performance of cracked solid fir-wood beams repaired with Basalt Fiber Reinforced Polymer (BFRP) spikes.
Luca Righetti   +5 more
core   +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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