Results 111 to 120 of about 1,638 (227)

A Solventless Melt Route to Polymer/Mixed‐Metal Sulfide Nanocomposites: Case Study on NiCo2S4/PVP

Journal of Polymer Science, EarlyView.
Solvent‐free thermolysis of metal (Ni, Co)‐ xanthate precursors in PVP enables the in situ formation of NiCo2S4 nanoparticles embedded within the polymer matrix. ABSTRACT Polymer‐inorganic nanocomposites are commonly prepared using solution‐based approaches that rely on solvents, often toxic or costly, and multi‐step processing, which can limit ...
Ginena Bildard Shombe, Malik Dilshad Khan, Neerish Revaprasadu   +2 more
wiley   +1 more source

Electron Transport through a Tryptophan Quadruplex in a Dimeric Azurin Construct. [PDF]

J Phys Chem B
Melčák M, Heyda J, Šebesta F, Gray HB, Záliš S, Vlček A.   +5 more
europepmc   +1 more source

Past, present and future of local crop evolution

PLANTS, PEOPLE, PLANET, EarlyView.
Promoting agrobiodiversity is a promising strategy for mitigating the negative effects of climate change on global food security. We highlight the central role evolutionary processes play in harnessing the potential of local crops by integrating genomics, archaeology, ethnobotany and traditional ecological knowledge (TEK).
Nataly Allasi Canales, Philippa Ryan, Amy Jackson, Hong Phuong Le, James Borrell, Aaron Davis, Rafal M. Gutaker   +6 more
wiley   +1 more source

MRI findings of granulomatosis with polyangiitis can mimic those of cholesteatoma: A case report. [PDF]

Radiol Case Rep
Alkattan L, Duraj M, Erentaite D, Yavarian Y.   +3 more
europepmc   +1 more source

The non‐hydrostatic option of the ECMWF global weather forecast model: Improvements for kilometre‐scale modelling

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda, Inna Polichtchouk, Michail Diamantakis, Filip Váňa   +3 more
wiley   +1 more source

Dimensional accuracy of 3D-printed surgical cutting guides after hospital sterilization: a comparative evaluation of ten MEX materials. [PDF]

3D Print Med
Popescu D, Iacob MC, Marinescu R.
europepmc   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

Investigating the Absorption Properties of Pure and Nitrogen-Doped Carbon Clusters as Models for the Core of Carbon Nanodots. [PDF]

J Phys Chem A
D'Ambrosio F, Frustaci A, Azzali A, Bodo E.   +3 more
europepmc   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +1 more source

Sequence-based modeling of low-affinity transcription factor-DNA binding through deep learning. [PDF]

NAR Genom Bioinform
Wang Y, Li J, Chiu TP, Xin B, Rohs R.
europepmc   +1 more source