Design techniques have been classified to support the selection in design processes. Two decision aids have been created. We designed an experiment to compare both decision aids (taxonomy and tags) and evaluate the influence of individuals' decision style when using a decision aid. The experiment materials included the experimental process, a training, an experimental task, and the survey questionnaire. In this method article, we describe the details of the experiment settings and use the collected data to validate the experiment. Advantages of this method include the following:•The procedure of the experiment ensured an easy-to-understand training part without any bias toward performing the experimental task and answering the survey questionnaire at the end.•The experimental process can be applied to experiments for evaluating task performance by using user interfaces with a training part before the experimental task.•The experimental task scenario and the design techniques included in the experiment can be applied in experiments with design-relevant task scenarios.
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http://dx.doi.org/10.1016/j.mex.2020.101133 | DOI Listing |
Lancet Reg Health Southeast Asia
January 2025
Department of Tropical Hygiene, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Background: In highly measles immunized countries, immunity gaps in adolescents and young adults are a key issue posing an obstacle to measles elimination. This study aims to identify the gaps by estimating the age-stratified probability of seropositivity, and to ascertain a suitable age for the administration of a third dose of a measles-containing vaccine (MCV3) to effectively fill these gaps.
Methods: We retrospectively obtained measles serological results from hospital setting among among individuals aged 13-39 years and developed a serocatalytic dynamic probability model, stratifying seropositivity due to vaccination or natural infection.
Front Cell Dev Biol
December 2024
Biomedical Research Institute of Southern California, Oceanside, CA, United States.
Interferon types-I/II (IFN-αβ/γ) secretions are well-established antiviral host defenses. The human immunodeficiency virus (HIV) particles are known to prevail following targeted cellular interferon secretion. CD4 T-lymphocytes are the primary receptor targets for HIV entry, but the virus has been observed to hide (be latent) successfully in these cells through an alternate entry route via interactions with LFA1.
View Article and Find Full Text PDFBehav Res Methods
January 2025
Department of Data Analysis, Ghent University, Henri Dunantlaan 1, 9000, Ghent, Belgium.
Model estimation for SEM analyses in commonly used software typically involves iterative optimization procedures, which can lead to nonconvergence issues. In this paper, we propose using random starting values as an alternative to the current default strategies. By drawing from uniform distributions within data-driven lower and upper bounds (see De Jonckere et al.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
End-user feedback early in product development is important for optimizing multipurpose prevention technologies for HIV and pregnancy prevention. We evaluated the acceptability of the 90-day dapivirine levonorgestrel ring (DPV-LNG ring) used for 14 days compared to a dapivirine-only ring (DVR-200mg) in MTN-030/IPM 041 (n = 23), and when used for 90 days cyclically or continuously in MTN-044/IPM 053/CCN019 (n = 25). We enrolled healthy, non-pregnant, HIV-negative women aged 18-45 in Pittsburgh, PA and Birmingham, AL (MTN-030 only).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Business Administration, College of Business Administration, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia.
Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, integrating Intuitionistic Fuzzy Sets (IFS) with Multi-Criteria Decision-Making (MCDM) techniques. The proposed approach addresses key challenges, including reducing carbon footprints, managing operating costs, and adhering to stringent environmental standards.
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