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The developmental lipidome of Nippostrongylus brasiliensis.
Parasit Vectors
January 2025
Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC, 3010, Australia.
Background: Nippostrongylus brasiliensis-a nematode of rodents-is commonly used as a model to study the immunobiology of parasitic nematodes. It is a member of the Strongylida-a large order of socioeconomically important parasitic nematodes of animals. Lipids are known to play essential roles in nematode biology, influencing cellular membranes, energy storage and/or signalling.
View Article and Find Full Text PDFHigh-throughput phenotyping of wheat root angle and coleoptile length at different temperatures using 3D-printed equipment.
BMC Plant Biol
January 2025
Department of Field Crops, Faculty of Agriculture, Necmettin Erbakan University, Konya, 42310, Türkiye.
Background: Innovation in crop establishment is crucial for wheat productivity in drought-prone climates. Seedling establishment, the first stage of crop productivity, relies heavily on root and coleoptile system architecture for effective soil water and nutrient acquisition, particularly in regions practicing deep planting. Root phenotyping methods that quickly determine coleoptile lengths are vital for breeding studies.
View Article and Find Full Text PDFA machine learning model the prediction of athlete engagement based on cohesion, passion and mental toughness.
Sci Rep
January 2025
College of Physical Education and Health Sciences, Zhejiang Normal University, Jinhua, 321004, China.
Athlete engagement is influenced by several factors, including cohesion, passion and mental toughness. Machine learning methods are frequently employed to construct predictive models as a result of their high efficiency. In order to comprehend the effects of cohesion, passion and mental toughness on athlete engagement, this study utilizes the relevant methods of machine learning to construct a prediction model, so as to find the intrinsic connection between them.
View Article and Find Full Text PDFPredictors, patterns, and correlates of moderate-severe psychological distress among New York City College Students during Waves 2-4 of COVID-19.
Sci Rep
January 2025
Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, 622 West 168th Street, Ste. 876, New York, NY, 10032, USA.
The COVID-19 pandemic may have exacerbated mental health conditions by introducing and/or modifying stressors, particularly in university populations. We examined longitudinal patterns, time-varying predictors, and contemporaneous correlates of moderate-severe psychological distress (MS-PD) among college students. During 2020-2021, participants completed self-administered questionnaires quarterly (T1 = 562, T2 = 334, T3 = 221, and T4 = 169).
View Article and Find Full Text PDFOverlooked tripartite microbial interactions influencing chemical cycling in the ocean.
Trends Microbiol
January 2025
Climate Change Cluster (C3), University of Technology Sydney, Sydney, New South Wales 2007, Australia; UAR 3278 CRIOBE, PSL Université Paris: EPHE-UPVD-CNRS, Université de Perpignan, 52 Avenue Paul Alduy, 66860, Perpignan, France. Electronic address:
Inter-microbial interactions fundamentally govern ocean ecology and biogeochemistry. Recently, Henshaw and colleagues revealed that important inter-bacterial associations in the ocean can be shaped by viral infections, whereby infected cyanobacteria release specific chemicals that attract heterotrophic bacteria, uncovering a new tripartite microbial interaction that influences carbon transfer in the surface ocean.
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