Results 111 to 120 of about 492,581 (337)

On Compound Distributions for Natural Disaster Modelling in Kenya

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2020
Kenyan communities are exposed to natural disasters by an amalgamation of factors such as poverty, aridity, and settlements in areas susceptible to natural disasters or in areas with poor infrastructure. This is expected to increase due to the effects of
Antony Rono   +2 more
doaj   +1 more source

Microneedle‐Based Biofertilizer Delivery Improves Plant Growth Through Microbiome Engineering

open access: yesAdvanced Functional Materials, EarlyView.
This figure shows how microneedles are used to deliver biofertilizers to enhance plant growth through microbial migration, metabolic reprogramming, and changes in plant endogenous microbiome. Abstract This study presents a microneedle‐based system for the delivery of rhizospheric biofertilizers into plant tissues to enhance growth.
Zhicheng Le   +14 more
wiley   +1 more source

Importance of Generalized Logistic Distribution in Extreme Value Modeling

open access: yesApplied Mathematics, 2013
We consider a problem from stock market modeling, precisely, choice of adequate distribution of modeling extremal behavior of stock market data. Generalized extreme value (GEV) distribution and generalized Pareto (GP) distribution are the classical distributions for this problem.
K. Nidhin, C. Chandran
openaire   +2 more sources

Atomic‐Level Dual‐Cation Engineering Enables High‐Performance Na4VMn(PO4)3 Cathodes for Sodium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Dual‐cation site engineering unlocks stable and fast sodium storage in Na4VMn(PO4)3 cathodes. Li+ at Na2 suppresses Jahn‐Teller distortion, while K+ at Na1 expands ion channels, enabling synchronized V/Mn redox and quasi‐single‐phase kinetics. This atomic‐level strategy achieves ultralong cycling stability, high‐rate capability, and full cell viability
Jiaze Sun   +8 more
wiley   +1 more source

Photoconductivity‐Driven Quantum Efficiency Gain in Inorganic Ruddlesden‐Popper Layered Cs2PbBr2I2 Perovskite Photodetector for Visible Light Detection

open access: yesAdvanced Functional Materials, EarlyView.
Rational halogen mixing strategy was employed to shift the bandgap of Cs2PbBr2I2 from ultraviolet to visible region, enabling first realization of a visible‐light photodetector with this 2D layered Ruddlesden‐Popper perovskite material. Under illumination, light‐induced internal field forms and drives trap‐mediated persistent photoconductivity ...
Md Fahim Al Fattah   +11 more
wiley   +1 more source

Fluoride‐Free Adhesives for Low Surface Energy Fluorinated Substrates

open access: yesAdvanced Functional Materials, EarlyView.
A universal, fluoride‐free adhesive achieves a record 4.91 MPa bond strength on PTFE by leveraging amine/amide dipole–dipole interactions, without fluorinated components. This sustainable strategy overcomes the environmental and performance limits of PFAS‐based adhesives, enabling robust, eco‐conscious bonding across diverse materials.
Siqi Zheng   +7 more
wiley   +1 more source

Generalized Pareto Copulas: A Key to Multivariate Extremes

open access: yes, 2018
This paper reviews generalized Pareto copulas (GPC), which turn out to be a key to multivariate extreme value theory. Any GPC can be represented in an easy analytic way using a particular type of norm on $\mathbb{R}^d$, called $D$-norm.
Falk, Michael   +2 more
core   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Modeling Annual Extreme Precipitation in China Using the Generalized Extreme Value Distribution

open access: yesJournal of the Meteorological Society of Japan. Ser. II, 2007
Extreme precipitation events are the major causes of severe floods in China. In this study, four time series of daily, 2-day, 5-day, and 10-day annual maximum precipitation from 1951 to 2000 at 651 weather stations in China were analyzed. The generalized extreme value (GEV) distribution was used, to model the annual extreme precipitation events at each
Feng, Song, Nadarajah, Saralees, Hu, Qi
openaire   +2 more sources

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