Results 191 to 200 of about 1,799,144 (293)

Behaviour of a Preloaded Asymmetric Multi-Bolted Connection Under Cyclic Loads by Experimental Research. [PDF]

Materials (Basel)
Grzejda R, Parus A, Kwiatkowski K.
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Machine learning-based prediction of 1-year mortality risk after off-pump coronary artery bypass grafting. [PDF]

J Thorac Dis
Ma Y, Shi Y, Yin R.
europepmc   +1 more source

Impact of Sustainable Binders Based on Lignin and Collagen on the Volume Stability and Mechanical Properties of MgO‐C Refractories with MgO‐C Recyclates

Advanced Engineering Materials, EarlyView.
Collagen hydrolysate is evaluated as a sustainable binder for MgO‐C refractories. Its thermally induced cross‐linking and gas release lead to expansion and cracking in large bricks, but tailored batches with lignin, recyclates, or fine graphite improve the gas release while thermal treatment and stability.
Till M. J. Stadtmüller, Florian Kerber, Kirsten Moritz, Steffen Dudczig, Konstantin Kraushaar, Thomas Schemmel, Jana Hubálková, Patrick Gehre, Christos G. Aneziris   +8 more
wiley   +1 more source

An explainable online frailty prediction model for community-dwelling older adults based on machine learning algorithms: a cross-sectional study based on retrospective health data. [PDF]

Ann Med
Zhao S, Zhang S, Wang J, Huang T, Wu H, Yao W, Huang K, Zou J, Shen Y.   +8 more
europepmc   +1 more source

Development of Sustainable MgO–C Refractories Using MgO–C Recyclates and a Novel Eco‐Friendly Fructose–Tannin Binder Crosslinked With Citric Acid

Advanced Engineering Materials, EarlyView.
This study develops sustainable MgO–C refractories using recycled materials and eco‐friendly fructose–tannin binders. The enhanced performance of citric acid as a cross‐linker and functional additives on mechanical and thermomechanical properties was examined. Characterization included strength tests, immersion trials, and microstructural and inclusion
Dinesh K. Gunasekar, Jana Hubálková, Steffen Dudczig, Gert Schmidt, Florian Kerber, Thomas Schemmel, Patrick Gehre, Christos G. Aneziris   +7 more
wiley   +1 more source

Predicting oil contamination in water using machine learning on microbial compositions. [PDF]

PLoS One
Gao T, Bigcraft I, Techtmann S, Nakamura I.   +3 more
europepmc   +1 more source

Multifunctional Crushing and Piezoresistive Self‐Sensing in Conductive Epoxy/CNT‐Coated Polyetherimide TPMS Lattices

Advanced Engineering Materials, EarlyView.
This study reports lightweight polyetherimide triply periodic minimal surfaces lattices coated with carbon nanotube‐reinforced epoxy that combine mechanical robustness with self‐sensing. The conformal coating enhances stiffness, strength and energy absorption while enabling reliable strain monitoring.
A. Triay, J. Schneider, P. Harrison, S. Kumar   +3 more
wiley   +1 more source

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 more
wiley   +1 more source

Machine learning models using serum gastric biomarkers for the non-invasive prediction of atrophic gastritis: a comparative study. [PDF]

Front Med (Lausanne)
Li D, Yu H, Jin B, Dong D, Cheng L, Dong W.   +5 more
europepmc   +1 more source