Results 131 to 140 of about 1,349,193 (349)

A Discrete Choice Experiment Data Collection of U.S. West Coast Saltwater Anglers, 2017: Methodology and Response

, 2020
Leif Anderson, James Hilger
openalex   +1 more source

Women’s preference to apply shared decision-making in breast cancer screening: a discrete choice experiment [PDF]

, 2022
María José Hernández, María José Pérez-Lacasta, Àngels Cardona-Cardona, Núria Codern‐Bové, Carmen Vidal, Montserrat Rué, Carles Forné, Misericòrdia Carles-Lavila   +7 more
openalex   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Calculating willingness-to-pay with discrete cost and random coefficients in discrete choice experiments

Health Economics Review
Objectives This study provides step-by-step guidance to calculate willingness-to-pay (WTP) in discrete choice experiments that involve discrete cost. It highlights the limitations of assuming a linear disutility for cost in WTP calculation.
Clarence Ong, Alex R. Cook, Ker-Kan Tan, Yi Wang   +3 more
doaj   +1 more source

FP06.01 Discrete Choice Experiment to Estimate Physicians’ Preferences in Terms of G-CSF use for Febrile Neutropenia Primary and Secondary Prophylaxis [PDF]

, 2021
C. Chouaïd, Florian Scotté, E. Antoine, H. Simon, Nathalie Texier, P. Laplaige   +5 more
openalex   +1 more source

Nonstationary Discrete Choice: A Corrigendum and Addendum [PDF]

We correct the limit theory presented in an earlier paper by Hu and Phillips (Journal of Econometrics, 2004) for nonstationary time series discrete choice models with multiple choices and thresholds.
Ling Hu, Peter C.B. Phillips, Sainan Jin
core  

Phase Change Material‐Driven Tunable Metasurface for Adaptive Terahertz Sensing and Communication in 6G Perceptive Networks

Advanced Functional Materials, EarlyView.
This study explores the benefits of metasurfaces made from functional materials, highlighting their ability to be adapted and improved for various high‐frequency applications, including communications and sensing. It first demonstrates the potential of these functional material‐based metasurfaces to advance the field of sub‐THz perceptive networks ...
Yat‐Sing To, Jiachen Du, Cyril Decroze, Laure Huitema, Aurelian Crunteanu, Hang Wong   +5 more
wiley   +1 more source

Optimal designs for discrete choice models via graph Laplacians [PDF]

, 2022
Frank Röttger, Thomas Kahle, Rainer Schwabe   +2 more
openalex   +1 more source

Random Covariance Heterogeneity in Discrete Choice Models [PDF]

The area of discrete choice modelling has developed rapidly in recent years. In particular, continuing refinements of the Generalised Extreme Value (GEV) model family have permitted the representation of increasingly complex patterns of substitution and ...
Denis Bolduc, John Polak, Stephane Hess
core  

Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami

Advanced Functional Materials, EarlyView.
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding, Zhong Zhang, Zeang Zhao, Shengyu Duan, Panding Wang, Xiaogang Guo, Hongshuai Lei, Daining Fang   +7 more
wiley   +1 more source