Results 71 to 80 of about 46,518,871 (255)
Bacteria‐Trained, MnO2‐Armored Dendritic Cells for Immunotherapy
MnO2‐armored, bacteria‐trained dendritic cells undergo tumor‐responsive mechanical and immunological transformation. The nanocoating masks immune ligands and maintains a mechanically stiff, quiescent state during circulation, while the tumor microenvironment removes the armor and restores cellular deformability and immune accessibility.
Zhao Guo +9 more
wiley +1 more source
Filtered Extreme Value Theory for Value-At-Risk Estimation [PDF]
Extreme returns in stock returns need to be captured for a successful risk management function to estimate unexpected loss in portfolio. Traditional value-at-risk models based on parametric models are not able to capture the extremes in emerging markets ...
Yilmazer, Sait +2 more
core
Estimating Climate Risk Exposure in the U.S. Insurance Sector Using Factor Model and EVT
This study examines the exposure of the U.S. insurance sector to climate-related risks using a two-step approach combining factor modeling and Extreme Value Theory. The analysis first constructs a climate risk factor from transition-sensitive sectors and
Olanrewaju Oluwadamilare Olaniyan
doaj +1 more source
A constraint‐based analytical framework maps the coupled effects of material properties, structural parameters, and operating conditions in tubular dielectric elastomer pumps for extracorporeal circulatory applications. The approach defines performance boundaries through mechanical, electrical, and hydraulic constraints and identifies feasible design ...
Yan Zhang +3 more
wiley +1 more source
O presente estudo propõe uma análise comparativa de dez modelos de volatilidade para o cálculo do Value-at-Risk (VaR) para carteira teórica do Ibovespa, considerando a presença de memória longa na série temporal dos seus retornos diários.
Luiz Eduardo Gaio +1 more
doaj +1 more source
Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi +6 more
wiley +1 more source
Electric‐field‐assisted spin coating is introduced as a wet‐film processing route for guiding perovskite crystallization. A transient perpendicular field produces distinct structural maxima rather than monotonic grain growth: largest scanning electron microscopy (SEM)‐derived grain size at nominal 2 kV cm−1${\rm cm}^{-1}$, largest X‐ray diffraction ...
James R. Zelaya, Gary C. Tepper
wiley +1 more source
Gauging risk with higher moments : handrails in measuring and optimising conditional value at risk [PDF]
The aim of the paper is to study empirically the influence of higher moments of the return distribution on conditional value at risk (CVaR). To be more exact, we attempt to reveal the extent to which the risk given by CVaR can be estimated when relying ...
Maurer, Raimond H. +3 more
core
Assessing systemic risk in Morocco’s banking sector: Conditional value-at-risk approach [PDF]
Type of the article: Research Article AbstractSystemic risk in the banking sector poses a major threat to financial stability, particularly in concentrated markets such as Morocco, where the failure of one institution may trigger widespread disruptions.
Soufiane Benbachir, Mohamed Beraich
doaj +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source

