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http://dx.doi.org/10.1186/s12912-024-02424-8 | DOI Listing |
Mar Pollut Bull
January 2025
School of Geography, Earth and Environmental Sciences, University of Plymouth, Drake Circus, Plymouth PL4 8AA, UK. Electronic address:
Little information exists on the interactions between microfibres (MFs) and marine macroalgae. In this study, the translucent green seaweed, Ulva lactuca, has been exposed to ∼2 mg L suspensions of MFs prepared from dryer lint under controlled conditions, with MFs on the alga surface and remaining in seawater subsequently counted and characterised. MFs were mainly <2 mm and cellulosic, and contained various additives and chemicals used in textile treatment.
View Article and Find Full Text PDFAm J Audiol
January 2025
Department of Communication Sciences and Disorders, University of Wisconsin-Madison.
Purpose: Prior work estimating sound exposure dose from earphone use has typically measured earphone use time with retrospective questionnaires or device-based tracking, both of which have limitations. This research note presents an exploratory analysis of sound exposure dose from earphone use among college-aged adults using real-ear measures to estimate exposure level and ecological momentary assessment (EMA) to estimate use time.
Method: Earphone levels were measured at the ear drum of 53 college students using their own devices, earphones, and preferred music and speech stimuli at their normal listening volume.
Biodivers Data J
January 2025
Laboratório de Computação Avançada para Biodiversidade (COMBIO). Museu Paraense Emílio Goeldi, Belém, Brazil Laboratório de Computação Avançada para Biodiversidade (COMBIO). Museu Paraense Emílio Goeldi Belém Brazil.
Background: The standardisation and correction of taxonomic names in large biodiversity databases remain persistent challenges for researchers, as errors in species names can compromise ecological analyses, land-use planning and conservation efforts, particularly when inaccurate data are shared on global biodiversity portals.
New Information: We present pytaxon, a Python software designed to resolve and correct taxonomic names in biodiversity data by leveraging the Global Names Verifier (GNV) API and employing fuzzy matching techniques to suggest corrections for discrepancies and nomenclatural inconsistencies. The pytaxon offers both a Command Line Interface (CLI) and a Graphical User Interface (GUI), ensuring accessibility to users with different levels of computing expertise.
Eur Arch Psychiatry Clin Neurosci
January 2025
Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin (Campus Charité Mitte), Charitéplatz 1, 10117, Berlin, Germany.
Soil contamination by heavy metals (HM) is a critical area of research. Traditional methods involving sample collection and lab analysis are effective but costly and time-consuming. This study explores whether geostatistical analysis with GIS and open data can provide a faster, more precise, and cost-effective alternative for HM contamination assessment without extensive sampling.
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