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Large herbivores may affect ecosystem processes and states, but such effects can be difficult to quantify, especially within multispecies assemblages. To better understand such processes and improve our predictive ability of systems undergoing change, herbivore diets can be studied using controlled feeding trials (or cafeteria tests). With some wildlife, such as large herbivores, it is impractical to empirically verify these findings, because it requires visually observing animals in forested environments, which can disturb them from their natural behaviors. Yet, in field-based cafeteria trials it is nearly impossible to differentiate selection between herbivore species that forage on similar plants and make very similar bite marks. However, during browsing ungulates leave saliva residue which includes some buccal cells and DNA that can be extracted for species identification. Here we used a newly developed eDNA-based method (biteDNA) to test the browsing preferences of four sympatric ungulate species in the wild. Overall, food preferences varied between species, but all species strongly preferred deciduous over coniferous species. Our method allows the study of plant-animal interactions in multispecies assemblages at very fine detail.
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http://dx.doi.org/10.1186/s40064-015-1285-z | DOI Listing |
Cureus
August 2025
Dermatology, Premier Dermatology, Ashburn, USA.
Background And Objective: Social media plays a significant role in patient education as many US Internet users obtain health information online. YouTube is a popular search engine among people looking for dermatologic advice. Our study assesses the content on homeopathic remedies for non-melanoma skin cancers (NMSCs) available on YouTube.
View Article and Find Full Text PDFCureus
July 2025
Department of Learning Technologies, University of North Texas, Denton, USA.
Consensus App is an academic search engine designed to change how researchers access and synthesize information. It helps researchers quickly browse the growing body of academic literature by offering insights at both the topic and paper levels. We evaluate the Consensus App's potential to transform academic research, its ethical implications, and the reasons behind its underrepresentation in academic literature.
View Article and Find Full Text PDFNeural Netw
November 2025
School of Computer Science, Peking University, Beijing 10087, China; Key Lab. of High-Confidence Software Technologies (PKU), Ministry of Education, Beijing 10087, China.
Traditional recommender systems often assume that there is only one type of interaction between a user and an item, which does not reflect the complexity of real-life users engaging in multiple behaviors such as browsing, clicking, adding to cart, and purchasing. Recent multi-behavioral recommendation methods have demonstrated their effectiveness, while they still suffer from two limitations: (1) Unbalanced user interaction data and sparse node neighbor information pose challenges to user preference modeling. (2) Direct transfer of information from the auxiliary behavior to the target behavior introduces noise.
View Article and Find Full Text PDFActa Psychol (Amst)
August 2025
Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, the Netherlands.
Interface designs of video streaming platforms are reasoned to nudge users into binge-watching. More specifically, continued viewing is facilitated by algorithm-based personalized recommendations, autopreview (i.e.
View Article and Find Full Text PDFConserv Biol
May 2025
College of Forest Resources and Environmental Science, Michigan Technological University, Houghton, Michigan, USA.
Understanding the drivers of ecosystem collapse is critical for resource management, particularly for protected areas mandated to preserve biodiversity. In Rocky Mountain National Park, Colorado, tall willows (Salix spp.) dominated riparian vegetation, and a beaver-willow state was the natural ecosystem type in the Colorado River headwaters.
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