An annotated list of tapeworms of the genus Gangesia Woodland, 1924 (Cestoda: Proteocephalidea), parasites of siluriform fishes in Asia, is provided. Based on the morphological examination of museum specimens and newly collected material from China, Japan and Russia, as well as the results of a previous revision of the Indomalayan species, only eight of more than 50 nominal taxa are considered to be valid. These are: from India and neighbouring countries, Gangesia bengalensis (Southwell, 1913) (type-species), G. agraensis Verma, 1928, both from Wallago attu (Bloch & Schneider) (Siluridae), G. macrones Woodland, 1924 from Sperata seenghala (Sykes) (Bagridae) and G. vachai (Gupta & Parmar, 1988) from different catfishes (type-host Eutropiichthys vacha (Hamilton); Schilbeidae), and, from the Palaearctic, G. margolisi Shimazu, 1994, a parasite of Silurus biwaensis (Tomoda) (Siluridae) in Japan, G. oligonchis Roitman & Freze, 1964 from Tachysurus fulvidraco (Richardson) (Bagridae) in Russia, and G. parasiluri Yamaguti, 1934 and G. polyonchis Roitman & Freze, 1964, both from Silurus asotus L. (Siluridae) in Japan and Russia, respectively. The poorly known G. oligonchis is redescribed. Seven new synonyms are proposed: G. chauhani Mathur & Srivastav, 2000, G. wallaguae Pradhan, Kulkarni, Kale & Wakle, 2010 and G. shivajiraoi Dhole, Waghmare & Chavan, 2012 are synonymised with G. agraensis; G. striatusii Bhure & Nanaware, 2012 and Silurotaenia govindii Sawarkar, 2013 with G. macrones; G. spasskajae Demshin, 1987 with G. polyonchis; and Silurotaenia spinula Chen, 1984 with Postgangesia orientalis Akhmerov, 1969. Gangesia pseudobagrae Chen, 1962 is considered to be a species inquirenda, whereas G. chauhani Mathur, 1992 and G. dineshei Jaysingpure, 2002 are recognised as unavailable names. An amended generic diagnosis of Gangesia and a key to the identification of its recognised species are also provided.
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Nat Ecol Evol
October 2024
Plant-Soil Interactions group, Agroscope, Zurich, Switzerland.
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Institute of Botany, Czech Academy of Sciences, Dukelská 135, Třeboň 379 01, Czech Republic.
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June 2024
Department of Mechanical, Aerospace and Biomedical Engineering, University of Tennessee, 1512 Middle Dr, Knoxville, 37916, USA.
This pioneering study introduces the use of transformer-based machine learning models and explainable AI approaches to explore the impact of nutrition on Alzheimer's disease (AD) mortality. Using data from the Third National Health and Nutrition Examination Survey (Nhanes iii 1988 to 1994) and the NHANES III Mortality-Linked File (2019) databases, we investigate the intricate relationship between various nutritional factors and AD mortality. Our approach features a novel application of transformer models, which are then benchmarked against established methods like random forests and support vector machines.
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June 2024
Mount Fuji Research Institute, Yamanashi Prefecture Government, 5597-1 Kenmarubi, Kamiyoshida, Fujiyoshida 403-0005, Yamanashi, Japan.
It has been known that harvesting by humans strongly influences individual within-home range habitat selection of many deer species; however, little is known about the effect of harvesting on coarse-scale habitat selection (i.e., spatial distribution).
View Article and Find Full Text PDFJ Anim Ecol
August 2024
School of Life and Health Sciences, University of Roehampton, London, UK.
Food webs depict the tangled web of trophic interactions associated with the functioning of an ecosystem. Understanding the mechanisms providing stability to these food webs is therefore vital for conservation efforts and the management of natural systems. Here, we first characterised a tropical stream meta-food web and five individual food webs using a Bayesian Hierarchical approach unifying three sources of information (gut content analysis, literature compilation and stable isotope data).
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