Results 131 to 140 of about 113,610 (277)
Advanced Science, EarlyView.To address the multifaceted imbalance in diabetic keratopathy, a light‐responsive biomimetic platform (WCNx‐Rh2) is developed and integrates glucose degradation, immune modulation, and antibacterial defense through a designed heterojunction and screened immunomodulator. WCNx‐Rh2 reduces AGEs/ROS and inflammatory signaling, reprogramming dendritic cells
Mengzhen Zhao +8 more
wiley +1 more source
Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes
Advanced Science, EarlyView.Ultrafast optoacoustic spectroscopy combined with a Sagnac interferometer enables non‐contact, simultaneous characterization of thickness and the full three‐dimensional anisotropic elastic constants in freestanding nanocrystalline copper membranes. By capturing gigahertz Lamb waves and zero‐group‐velocity resonances followed by SAFE‐GA inversion, the ...
Shuchang Zhang +11 more
wiley +1 more source
POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models
The POWERLIB SAS/IML software provides convenient power calculations for a wide range of multivariate linear models with Gaussian errors. The software includes the Box, Geisser-Greenhouse, Huynh-Feldt, and uncorrected tests in the "univariate" approach ...
James C. Slaughter +5 more
core +1 more source
Efficient estimation of parameters in marginals in semiparametric multivariate models [PDF]
Recent literature on semiparametric copula models focused on the situation when the marginals are specified nonparametrically and the copula function is given a parametric form.
Artem Prokhorov, Valentyn Panchenko
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Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
The paper adopts a time series framework of the Vector Error Correction Models (VECM) to study the dynamic relationship between export, FDI and GDP for six emerging countries of Chile, India, Mexico, Malaysia, Pakistan and Thailand.
Miankhel, Adil +2 more
core +1 more source
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia +4 more
wiley +1 more source
Testing for threshold effects in regression models [PDF]
In this article, we develop a general method for testing threshold effects in regression models, using sup-likelihood-ratio (LR)-type statistics. Although the sup-LR-type test statistic has been considered in the literature, our method for establishing ...
Myung Hwan Seo +2 more
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Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Traditional Export Demand Relation: A Cointegration and Parameter Constancy Analysis [PDF]
This study empirically estimates the critical parameters of the aggregate export demand function for Jordan by using annual time series data (1970-2004) and by applying both Johansen-Juselius and Saikkonen-Lütkepohl multivariate cointegration procedures.
Jamal HUSEIN
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