Results 61 to 70 of about 65,033 (286)

Taming the Immiscibility of Gold, Iron, and Boron to Craft Chemodegradable Nanoparticles for Multimodal Imaging and Radiotherapy

open access: yesAdvanced Healthcare Materials, EarlyView.
Over half of cancer patients undergo radiotherapy. Laser ablation enabled the synthesis of immiscible Au‐Fe‐B nanoparticles designed as degradable bimodal radiosensitizers for X‐ray radiotherapy (XRT), boron neutron capture therapy (BNCT), and bimodal imaging for X‐ray computed tomography (CT) and magnetic resonance imaging (MRI). These nanosensitizers
Michael Bissoli   +15 more
wiley   +1 more source

Ruin Probability of a Discrete-Time Risk Process with Proportional Reinsurance and Investment for the Exponential and Pareto Distributions

open access: yesOperations Research and Decisions, 2015
The paper focuses on a quantitative analysis of the probability of ruin in a finite time for a discrete risk process with proportional reinsurance and investment of the financial surplus.
Helena Jasiulewicz, Wojciech Kordecki
doaj  

Ferritin‐Doped Nanoparticles Triggered Tumor‐Specific Darkening for Enhanced Photothermal Tumor Ablation and Immune Activation

open access: yesAdvanced Healthcare Materials, EarlyView.
Ferritin‐doped hybrid nanoparticles triggered accurate tumor‐specific hemorrhage for enhanced in situ photothermal therapy and evoked anti‐tumor immunity. Notably, HFn/GA‐Fe specifically induced tumor hemorrhage 12 h after intravenous injection, resulting in visible color darkening. Through photoacoustic imaging, tumor vessels could be clearly observed
Haidong Zha   +7 more
wiley   +1 more source

Ruin probabilities under capital constraints [PDF]

open access: yesInsurance: Mathematics and Economics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramsden, Lewis, Papaioannou, Apostolos
openaire   +3 more sources

Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection

open access: yesAdvanced Materials, EarlyView.
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel   +7 more
wiley   +1 more source

On the computation of upper approximations to ultimate ruin probabilities in case of DFR claimsize distributions

open access: yesStatistica, 2007
In the present note we consider the classical continuous time model of the collective theory of risk under the assumption that the claimsize distribution is DFR (decreasing failure rate) so that, according to well known queueing results, the ultimate ...
Luca Barzanti, Corrado Corradi
doaj   +1 more source

Ruin models with investment income

open access: yes, 2008
This survey treats the problem of ruin in a risk model when assets earn investment income. In addition to a general presentation of the problem, topics covered are a presentation of the relevant integro-differential equations, exact and numerical ...
Paulsen, Jostein
core   +1 more source

Decoding NASICON and Its Metal Interface for Solid‐State Batteries

open access: yesAdvanced Materials, EarlyView.
This review paper focuses on lithium‐ and sodium‐based NASICON solid electrolytes and their interfaces with metal anodes using a top‐down framework. It begins with NASICON fundamentals, elucidates anode‐induced failure mechanisms, surveys advanced characterization strategies to understand them, summarizes mitigation approaches, and concludes with a ...
Jiaqi Xu   +8 more
wiley   +1 more source

A note on the Taylor series expansions for multivariate characteristics of classical risk processes. [PDF]

open access: yes
The series expansion introduced by Frey and Schmidt (1996) [Taylor Series expansion for multivariate characteristics of classical risk processes.
Usábel, Miguel A.
core  

Generative Models for Crystalline Materials

open access: yesAdvanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni   +15 more
wiley   +1 more source

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