Results 101 to 110 of about 13,144,199 (261)

3D Reconstruction of Nanoparticle Distribution in Tumor Spheroids With Volume Electron Microscopy

Small, EarlyView.
Understanding where nanomaterials accumulate within cells is essential for revealing their biological fate and activity. We present a quantitative imaging framework to map nanomaterials and cellular structures in three dimensions. Applied to nanoparticle‐containing tumor spheroids, the approach reveals substantial cell‐to‐cell differences in uptake ...
Davide Bottone, Lukas R. H. Gerken, Sebastian Habermann, José María Mateos, Miriam S. Lucas, Johannes Riemann, Melanie Fachet, Ute Resch‐Genger, Vera M. Kissling, Matthias Rösslein, Alexander Gogos, Inge K. Herrmann   +11 more
wiley   +1 more source

Depth‐Aware Machine Learning for 3D Reconstruction of Fibrous Porous Electrodes by FIB‐SEM Tomography

Small Methods, EarlyView.
In FIB–SEM tomography of highly porous polymeric electrodes, subsurface fibers visible through open pores are mistaken for in‐plane material, distorting 3D reconstructions. A machine‐learning‐based depth‐aware model trained on everyday photographs, combined with unsupervised clustering, isolates the exposed fiber cross‐sections without labeled data ...
Carlota Bozal‐Ginesta, Claudia Bissattini Alessi, Peng Zeng, Julie Ruellou, Jakub Drnec, Alessandro Senocrate, Corsin Battaglia   +6 more
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Radial biharmonic $k-$Hessian equations: The critical dimension

, 2017
This work is devoted to the study of radial solutions to the elliptic problem \begin{equation}\nonumber Δ^2 u = (-1)^k S_k[u] + λf, \qquad x \in B_1(0) \subset \mathbb{R}^N, \end{equation} provided either with Dirichlet boundary conditions \begin{eqnarray}\nonumber u = \partial_n u = 0, \qquad x \in \partial B_1(0), \end{eqnarray} or Navier boundary ...
Escudero, Carlos, Torres, Pedro J.
openaire   +2 more sources

Reverse engineering strut‐and‐tie models for assessing reinforced concrete structures

Structural Concrete, EarlyView.
Abstract Strut‐and‐tie models enable the design of reinforced concrete structures with static or geometrical discontinuities, providing interpretability and control over the load path. These models are valuable for designing discontinuity regions of new structures and for validating nonlinear finite‐element analysis results. However, developing a strut‐
Karin Yu, Walter Kaufmann
wiley   +1 more source

Bond, tension‐stiffening, and cracking in multi‐generational recycled aggregate concrete subjected to shrinkage strains

Structural Concrete, EarlyView.
Abstract The concrete industry is responsible for a significant portion of global waste production and multi‐generation recycled aggregate concrete (MGRAC) is a means to allow the sector to transition to a circular economy framework. To predict the behavior of MGRAC at the member level there is a need to understand the underlying mechanics of bond ...
Lloyd Dadd, Phillip Visintin, Bree Bennett, Tianyu Xie   +3 more
wiley   +1 more source

Zero‐shot learning enabled image enhancement in Bessel beam light sheet fluorescence microscopy

VIEW, EarlyView.
A physics‐guided, unsupervised deep learning‐based image restoration framework for Bessel beam light sheet fluorescence microscopy that suppresses side‐lobe‐induced artifacts is presented. The proposed zero‐shot approach achieved 2.2‐fold increase in signal‐to‐noise ratio and 89% contrast improvement in mouse kidney tissue images, demonstrating its ...
Yujie Dong, Gautam Hegde, C. S. Suchand Sandeep, Maria Merin Antony, Murukeshan Vadakke Matham   +4 more
wiley   +1 more source

C2 estimates for k-Hessian equations and a rigidity theorem

Advances in Mathematics
We derive a concavity inequality for $k$-Hessian operators under the semi-convexity condition. As an application, we establish interior estimates for semi-convex solutions of the $k$-Hessian equations with vanishing Dirichlet boundary and obtain a Liouville-type result. Additionally, we provide new and simple proofs of Guan-Ren-Wang's results on global
openaire   +2 more sources

Estimating the Common Output Cycle in Australia

Australian Economic Review, EarlyView.
ABSTRACT Background/Objective This study develops a statistical measure of Australia's common output cycle and investigates the extent to which cyclical fluctuations are shared across industries. It also evaluates whether the common output cycle provides useful information for forecasting inflation.
Luke Hartigan
wiley   +1 more source

Take Me Home, Country Roads: Choosing Autonomous EVs Over Personal Aviation

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT This paper investigates the potential long‐run effects of autonomous and electric vehicles, and a carbon tax, on personal domestic aviation demand in Australia. We estimate a discrete choice disutility model with two travel modes—car and air—using Australian National Visitor Survey data and Bayesian priors. We use multiplicative Fréchet errors,
Anthony Wiskich
wiley   +1 more source