Results 251 to 260 of about 39,219,810 (342)

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 assisted differentiation of low acuity patients at dispatch: The MADLAD randomized controlled trial. [PDF]

PLoS Med
Spangler DN, Morelli S, Smekal D, Edmark L, Blomberg H.   +4 more
europepmc   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Monitoring and evaluation of digital mental health assessments in adults with mild to moderate intellectual disability and concurrent mental illness: a pilot study. [PDF]

BMC Psychiatry
Faisal M, Harris R, Finan NO, McCormack M, Tedesco S, Crowe C, Kanon AP, Yacoub E, Adam F, Clarke G.   +9 more
europepmc   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Enhancing antimicrobial resistance (AMR) surveillance data use in Uganda. [PDF]

Antimicrob Steward Healthc Epidemiol
Chukwuma U, Mayito J, Twemanye V, Namusoosa R, Kakyakumaiso D, Otita M, Tabajjwa D, Guma C, David Brett-Major D, Walmema R.   +9 more
europepmc   +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

Forecasting under-five stunting in Ethiopia using classical and machine learning time series models. [PDF]

PLoS One
Gessese RT, Kelkay JM, Arage FG, Tsegaw TK, Tadese ZB, Alemayehu MA, Taye EA, Alemu EA.   +7 more
europepmc   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source

Numerous inequalities and related communications accompanying discrete divergence models in probability spaces. [PDF]

PLoS One
Singh V, Sharma SK, Parkash O, Bin-Asfour M.   +3 more
europepmc   +1 more source