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| http://dx.doi.org/10.1111/bcp.14167 | DOI Listing |
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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 PDFExtraction, Annotation, and Purification of Resin Glycosides from the Morning Glory Family (Convolvulaceae).
Methods Mol Biol
January 2025
Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY, USA.
The metabolic diversity of plants, comprising over a million different metabolites across the plant kingdom, harbors enormous potential for pharmaceutical and biotechnological applications. Resin glycoside (RG) acylsugars from the Convolvulaceae are of interest due to their medicinal and agricultural potential. However, understanding the biological relevance of RGs is challenging as they exhibit a high lineage-specific structural diversity.
View Article and Find Full Text PDFAssessing sub-Saharan Africa's GHG emissions from croplands: environmental impacts and sustainable mitigation strategies.
Environ Monit Assess
January 2025
Department of Environmental Management, Institute of Environmental Engineering, RUDN University, Miklukho-Maklaya Street, 117198, Moscow, Russia.
Globally, agricultural lands are among the top emitters of greenhouse gases (GHGs), responsible for over 20% of total greenhouse gas (GHG) emissions. Climatic conditions, an acute challenge in sub-Saharan Africa (SSA), where access to mitigation technologies remains limited, have heavily influenced these lands. This study explores GHG contributions from crop production and their devastating and deteriorating impacts on the economy and environment and proposes a sustainable solution.
View Article and Find Full Text PDFThe Minority Tax: Stories from Family Physicians.
J Am Board Fam Med
January 2025
From the University of Texas Medical Branch, Galveston, TX (ZSD); University of Texas Medical Branch, Galveston, TX (NB); MPH University of Pittsburgh, Pittsburgh, PA (WTF); University of Texas Medical Branch, Galveston, TX (AC); Yuma Regional Medical Center, Yuma AZ (NOA); University of Arizona College of Medicine, Phoenix, AZ (NOA); University of Texas Medical Branch, Galveston, TX (KMC).
The minority tax has been defined as a set of disparities that those who are underrepresented in medicine face in addition to clinical care, education, and research responsibilities. These taxes include systemic racism, diversity efforts, clinical and promotion disparities, lack of faculty development, and isolation. Much has been added to the literature to better define and characterize the minority tax and propose suggestions for mitigations.
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.
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