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Uncovering women's healthcare access challenges in low- and middle-income countries using mixed effects modelling approach: Insights for achieving the Sustainable Development Goals.
PLoS One
January 2025
Department of Pediatrics and Child Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Background: Access to healthcare services for women in low- and middle-income countries (LMICs) is crucial for maternal and child health and achieving the Sustainable Development Goals (SDGs). However, women in LMICs face barriers to accessing healthcare, leading to poor health outcomes. This study used Demographic and Health Survey (DHS) data from 61 LMICs between 2010-2023 to identify women's healthcare access challenges.
View Article and Find Full Text PDFIncorporating spatial and genetic competition into breeding pipelines with the R package gencomp.
Heredity (Edinb)
January 2025
Department of General Biology, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Genetic competition can obscure the true merit of selection candidates, potentially leading to altered genotype rankings and a divergence between expected and actual genetic gains. Despite a wealth of literature on genetic competition in plant and animal breeding, the separation of genetic values into direct genetic effects (DGE, related to a genotype's merit) and indirect genetic effects (IGE, related to the effects of a genotype's alleles on its neighbor's phenotype) in linear mixed models is often overlooked, likely due to the complexity involved. To address this, we introduce gencomp, a new R package designed to simplify the use of (spatial-) genetic competition models in crop and tree breeding routines.
View Article and Find Full Text PDFCausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging data.
Elife
January 2025
CNRS UMR168, Institut Curie, Université PSL, Sorbonne Université, Paris, France.
Live-cell microscopy routinely provides massive amounts of time-lapse images of complex cellular systems under various physiological or therapeutic conditions. However, this wealth of data remains difficult to interpret in terms of causal effects. Here, we describe CausalXtract, a flexible computational pipeline that discovers causal and possibly time-lagged effects from morphodynamic features and cell-cell interactions in live-cell imaging data.
View Article and Find Full Text PDFTurning waste into wealth: Enzyme-activated DNA sensor based on reactant recycle for spatially selective imaging microRNA toward target cells.
Anal Chim Acta
February 2025
Department of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China; Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research, Hangzhou, 310003, China. Electronic address:
Background: Amplified imaging of microRNA (miRNA) in cancer cells is essential for understanding of the underlying pathological process. Synthetic catalytic DNA circuits represent pivotal tools for miRNA imaging. However, most existing catalytic DNA circuits can not achieve the reactant recycling operation in cells and in vivo.
View Article and Find Full Text PDFMultiple plastid losses within photosynthetic stramenopiles revealed by comprehensive phylogenomics.
Curr Biol
January 2025
Department of Biological Sciences, University of Rhode Island, Kingston, RI 02881, USA. Electronic address:
Ochrophyta is a vast and morphologically diverse group of algae with complex plastids, including familiar taxa with fundamental ecological importance (diatoms or kelp) and a wealth of lesser-known and obscure organisms. The sheer diversity of ochrophytes poses a challenge for reconstructing their phylogeny, with major gaps in sampling and an unsettled placement of particular taxa yet to be tackled. We sequenced transcriptomes from 25 strategically selected representatives and used these data to build the most taxonomically comprehensive ochrophyte-centered phylogenomic supermatrix to date.
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