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Cost-efficient behavioral modeling of antennas by means of global sensitivity analysis and dimensionality reduction.
Sci Rep
January 2025
Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, 80-233, Gdansk, Poland.
Computational tools, particularly electromagnetic (EM) solvers, are now commonplace in antenna design. While ensuring reliability, EM simulations are time-consuming, leading to high costs associated with EM-driven procedures like parametric optimization or statistical design. Various techniques have been developed to address this issue, with surrogate modeling methods garnering particular attention due to their potential advantages.
View Article and Find Full Text PDFQuality Improvement Methodologies: An Application in Cardiac Anesthesiology.
J Cardiothorac Vasc Anesth
January 2025
Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, NY.
Quality improvement (QI) in medicine serves as the cornerstone of best practices. It enhances medical care by maximizing safety and efficiency while minimizing errors and waste. For a QI initiative to succeed it requires careful strategizing and effective change management plans, including the application of established QI methodologies to ensure sustainable success.
View Article and Find Full Text PDFA Latent Trait-based Measure as a Data Harmonization and Missing Data Solution Applied to the Environmental Influences on Child Health Outcomes Cohort.
Epidemiology
January 2025
Department of Epidemiology, John Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Background: Collaborative research consortia provide an efficient method to increase sample size, enabling evaluation of subgroup heterogeneity and rare outcomes. In addition to missing data challenges faced by all cohort studies like nonresponse and attrition, collaborative studies have missing data due to differences in study design and measurement of the contributing studies.
Methods: We extend ROSETTA, a latent variable method that creates common measures across datasets collecting the same latent constructs with only partial overlap in measures, to define a common measure of socioeconomic status (SES) across cohorts with varying indicators in the Environmental influences on Child Health Outcomes Cohort, a consortium of pregnancy and pediatric cohorts.
Sustainable removal of gaseous Hg using sulfur functionalized biochar: Adsorption experiment and life cycle assessment.
Chemosphere
January 2025
Department of Environmental Engineering, Korea University Sejong Campus, 2511 Sejong-ro, Sejong City, 30019, Republic of Korea. Electronic address:
Maximizing the sorption capacity of gaseous Hg by sulfur-functionalized biochar can lead to increased energy consumption and the production of secondary environmental pollutants such as greenhouse gases. This study evaluates the environmental impact of producing sulfurized biochar through a life cycle assessment (LCA), weighing these impacts against the benefits of enhanced Hg removal efficiencies. The biochar's Hg adsorption capacity, which ranges between 3 and 22 μg-Hg/g-biochar, is influenced by several factors: it increases with higher sulfur loading (0-15 %), higher O levels (0-21 %), and longer pyrolysis times (1-5 h).
View Article and Find Full Text PDFThe modification of conventional liposomes for targeted antimicrobial delivery to treat infectious diseases.
Discov Nano
January 2025
Wits Advanced Drug Delivery Platform Research Unit, Department of Pharmacy and Pharmacology, School of Therapeutic Sciences, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
Some of the most crucial turning points in the treatment strategies for some major infectious diseases including AIDS, malaria, and TB, have been reached with the introduction of antimicrobials and vaccines. Drug resistance and poor effectiveness are key limitations that need to be overcome. Conventional liposomes have been explored as a delivery system for infectious diseases bioactives to treat infectious diseases to provide an efficient approach to maximize the therapeutic outcomes, drug stability, targetability, to reduce the side-effects of antimicrobials, and enhance vaccine performance where necessary.
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