Results 141 to 150 of about 10,895,381 (281)
Leveraging Microphysiological Systems to Facilitate Neutrophil‐Based Cancer Immunotherapy
Microphysiological systems are emerging as powerful human‐relevant platforms for studying neutrophil biology in cancer. Current applications of spheroids, organoids, and organ‐on‐a‐chip models are reviewed, together with future opportunities in behaviorome profiling, multi‐omics integration, personalized medicine, immune crosstalk, and multi‐organ ...
Shuai Shao +2 more
wiley +1 more source
A novel hetero‐bivalent agent, 68Ga/177Lu‐FZ‐NF‐1, concurrently targets Nectin‐4 and FAP in triple‐negative breast cancer. It yields significant preclinical tumor regression and clinically identifies additional metastatic lesions missed by 18F‐FDG PET, demonstrating promising theranostic potential for personalized management.
Ye Li +13 more
wiley +1 more source
Flux‐protection engineering stabilizes an oxidation‐prone L‐DOPA node in engineered E. coli by combining acid‐adapted chassis evolution, respiratory‐chain modulation, enzyme‐level flux matching, and pH–DO control. Carbon is redirected from oxidative browning to productive biosynthesis, enabling 1075.2 mg/L curcumin and demonstrating transferability to ...
Jianbin Chen +10 more
wiley +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Advancing Bayesian Forecasting: A Bayesian Dirichlet Auto-Regressive Conditional Heteroskedasticity Model, a Bayesian Dirichlet Auto-Regressive Moving Average Model, and Other Innovations [PDF]
This dissertation introduces new Bayesian time series models for compositional and high-dimensional data with dynamic structure and potential heteroskedasticity.
Katz, Harrison
core +1 more source
Chinese Trade Competition and Rural Mexican Migration
ABSTRACT China's accession to the World Trade Organization in 2001 reshaped global trade, reducing U.S. demand for Mexican manufactured goods and weakening Mexico's manufacturing employment. This study estimates how this trade‐induced decline affected migration and employment decisions among rural Mexicans.
Zachariah Rutledge, Joaquin Mayorga
wiley +1 more source
Linear Time Invariant (LTI) processes can be modelled by means of Auto-Regressive Moving Average (ARMA) model systems. In this paper, we examine whether an ARMA model can be fitted to a process characterised by switched nonlinearities.
M Brown (7628567) +4 more
core
Assessing Government Subsidies for Reducing Pesticide Use: A Meta‐Analysis
ABSTRACT In the efforts being made by governments to reduce pesticide use, subsidies are an important instrument to encourage farmers to adopt more sustainable practices. Yet, their effectiveness remains uncertain due to diverse designs and contexts.
Gaëlle Leduc +3 more
wiley +1 more source
ABSTRACT Rational actors constantly incorporate information into their decision‐making behavior. Since there is often a time lag between the announcement of a policy and its implementation, an important question arises: when do rational actors incorporate new information into their market behavior, at the announcement or at the implementation of a ...
Tim Ölkers, Oliver Mußhoff
wiley +1 more source

