Results 151 to 160 of about 24,885 (307)
How important are household demographic characteristics to explain private car use patterns? A multilevel approach to Austrian data [PDF]
Private car use is one of the major contributors to pollution in industrialised countries. It is therefore important to understand the factors that determine the demand for car use.
Ulf-Christian Ewert +2 more
core
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley +1 more source
The impact of car ownership and public transport usage on cancer screening coverage: Empirical evidence using a spatial analysis in England. [PDF]
J Transp Geogr, 2016 Wang C.
europepmc +1 more source
Demographic composition and projections of car use in Austria
Understanding the factors driving demand for transportation in industrialised countries is important in addressing a range of environmental issues.
Jiang Leiwen +2 more
core
Agribusiness, EarlyView.Abstract The Russian invasion of Ukraine in February 2022 had profound consequences for the global economy. As both countries are major commodity exporters, the food value chain was also affected. This study investigates the impact of the invasion on stock prices, profitability and sentiments of agribusinesses along the food supply chain by using an ...
Julia Höhler +2 more
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Geographical and Multi-product Linkages of Markets: Impact on Firm Equilibrium Interactions (Some Evidence from the European Car Market) [PDF]
This paper aims to study geographical and multi-product linkages of markets (multiple market presence) and firm behaviour interdependence as a result of such linkages existence.
Leheyda, Nina
core
Advanced Intelligent Discovery, EarlyView.This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source