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44 results for “Loris”
Triangular Mesh of the Brain of a Slow Loris (Nycticebus)
<p>Triangular Mesh of the Brain of a Slow Loris (<i>Nycticebus</i>) from http://braincatalogue.org/Slow_loris</p>
Fig. 2. Simplified neighbor-joining tree reconstructed from partial cox1 in Lurking in the dark: Cryptic Strongyloides in a Bornean slow loris
Fig. 2. Simplified neighbor-joining tree reconstructed from partial cox1 gene (716 bp) sequences of Strongyloides spp. S. fuelleborni sequences for Bornean primates cluster within the S. fuelleborni group, together with previously described sequences for the parasite found in African and Japanese primates. The S. stercoralis cluster includes sequences from humans from Laos, Africa and Japan, captive chimpanzees, and dogs. The Strongyloides sp. cluster corresponds to sequences from the slow loris. An alternative hypothesis is presented next to the tree, where instead of representing a different species, Strongyloides sp. would be part of a cryptic assemblage within the S. stercoralis group.
Fig. 1. Sampling sites within Lots 6 and 7 in Lurking in the dark: Cryptic Strongyloides in a Bornean slow loris
Fig. 1. Sampling sites within Lots 6 and 7 of the Lower Kinabatangan Wildlife Sanctuary, Malaysian Borneo (Nm = Nycticebus menagensis, Pp = Pongo pygmaeus, Mf = Macaca fascicularis, Nl = Nasalis larvatus, Tc = Trachypithecus cristatus, DGFC = Danau Girang Field Centre).
Figure 1. A neighbour-joining tree using 604 cytochrome C oxidase sub-unit I in Phylogenetic relationship among slender loris species (Primates, Lorisidae: Loris) in Sri Lanka based on mtDNA CO1 barcoding
Figure 1. A neighbour-joining tree using 604 cytochrome C oxidase sub-unit I (CO1) sequences from 7 different slender loris (Loris) taxas, rooted using slow loris (Nycticebus) sequences deposited in the GenBank.
Data from: Uneven missing data skew phylogenomic relationships within the lories and lorikeets
<p>Inlcuded is the supplementary data for Smith, B. T., Mauck, W. M., Benz, B., & Andersen, M. J. (2018). Uneven missing data skews phylogenomic relationships within the lories and lorikeets. <em>BioRxiv</em>, 398297. </p> <p>The resolution of the Tree of Life has accelerated with advances in DNA sequencing technology. To achieve dense taxon sampling, it is often necessary to obtain DNA from historical museum specimens to supplement modern genetic samples. However, DNA from historical material is generally degraded, which presents various challenges. In this study, we evaluated how the coverage at variant sites and missing data among historical and modern samples impacts phylogenomic inference. We explored these patterns in the brush-tongued parrots (lories and lorikeets) of Australasia by sampling ultraconserved elements in 105 taxa. Trees estimated with low coverage characters had several clades where relationships appeared to be influenced by whether the sample came from historical or modern specimens, which were not observed when more stringent filtering was applied. To assess if the topologies were affected by missing data, we performed an outlier analysis of sites and loci, and a data reduction approach where we excluded sites based on data completeness. Depending on the outlier test, 0.15% of total sites or 38% of loci were driving the topological differences among trees, and at these sites, historical samples had 10.9x more missing data than modern ones. In contrast, 70% data completeness was necessary to avoid spurious relationships. Predictive modeling found that outlier analysis scores were correlated with parsimony informative sites in the clades whose topologies changed the most by filtering. After accounting for biased loci and understanding the stability of relationships, we inferred a more robust phylogenetic hypothesis for lories and lorikeets.</p>
Magnetic Resonance Imaging Scan of the Brain of a Slow Loris (Nycticebus)
<p>Magnetic Resonance Imaging Scan of the Brain of a Slow Loris (<i>Nycticebus</i>) from http://braincatalogue.org/Slow_loris</p>
LORIS: a logistic regression-based immunotherapy-response score
<p>This is a repository of input data and code for reproducing the paper titled "LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic, and genomic features" by Chang et al. (Nature Cancer 2024).</p> <p>Briefly, in this work, Chang et al. developed a new clinical score called the LOgistic Regression-based Immunotherapy-response Score (LORIS) using a transparent and concise 6-feature logistic regression model. LORIS outperforms previous signatures in ICB response prediction and can identify responsive patients, even those with low tumor mutational burden or tumor PD-L1 expression. Importantly, LORIS consistently predicts both objective responses and short-term and long-term survival across multiple cancer types. Moreover, LORIS showcases a near-monotonic relationship with ICB response probability and patient survival, enabling more precise patient stratification across the board. As the method is accurate, interpretable, and only utilizes a few readily measurable features, it could help improve clinical decision-making practices in precision medicine to maximize patient benefit.</p>
Loris HRTF dataset
<p>This dataset comprises Head-Related Transfer Functions (HRTFs) generated through an advanced data-driven, machine-learning-based approach. These HRTFs are personalized, direction-dense, and lowpass-filtered, derived from detailed meshes of individual user's head and a non-uniform set of dynamic data measurements.</p> <p>Please refer to the paper titled "An Approach for Mesh-Based Generation of Spatially Dense, Lowpass-Filtered, Individualized HRTFs Using Dynamic Data Acquisition" by Quattrini et al., presented at the AES 156th Convention, held from June 15–17, 2024, in Madrid, Spain.</p>
LORIS_6 Features_Datasets
<p>3 dataset extracted from Chang et al. 2024 (https://www.nature.com/articles/s43018-024-00772-7).</p> <ol> <li>Chowell_Train</li> <li>Chowell_Test</li> <li>MSK1</li> </ol> <p>The dataset only contains the 6 features important to build six-feature logistic LASSO regression model (LLR6), with and without Response column (target).</p>
Data from: Uneven missing data skew phylogenomic relationships within the lories and lorikeets
Open the record for dataset details and reuse information.
FIGURE 13 in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 13. Protolichus rubiginosus sp. n., details of heteromorph male. A—subcapitulum, ventral view, B—leg I, dorsal view, C—leg I, ventral view, D—leg II, dorsal view, E—leg II, ventral view, F—tarsus IV, dorsal view.
FIGURE 11 in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 11. Protolichus lorinus sp. n., details. A—subcapitulum of heteromorph male, ventral view, B—leg I of heteromorph male, dorsal view, C—leg I of heteromorph male, ventral view, D—leg II of heteromorph male, dorsal view, E—tarsus IV of heteromorph male, dorsal view, F—subcapitulum of female, ventral view.
FIGURE 10 in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 10. Protolichus lorinus sp. n., heteromorph male. A—dorsal view, B—opisthosoma, dorsal view, C—opisthosoma and genital area, ventral view.
FIGURE 9. Protolichus females, dorsal view. A in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 9. Protolichus females, dorsal view. A—Protolichus pulchellae sp. n., B—Protolichus lorinus sp. n.
FIGURE 8 in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 8. Protolichus pulchellae sp. n., details of heteromorph male. A—subcapitulum, ventral view, B—leg I, dorsal view, C—leg I, ventral view, D—leg II, dorsal view, E—leg II, ventral view, F—tarsus IV, dorsal view.
FIGURE 6 in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 6. Protolichus placentis sp. n., details of male. A—subcapitulum of heteromorph male, ventral view, B—leg I of heteromorph male, dorsal view, C—leg I of heteromorph male, ventral view, D—leg II of heteromorph male, dorsal view, E – leg II of heteromorph male, ventral view, F—tarsus IV of heteromorph male, dorsal view, G—subcapitulum of homeomorph male, ventral view, H—leg I of homeomorph male, dorsal view, I—leg II of homeomorph male, dorsal view.
FIGURE 4 in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 4. Dorsal view of male opisthosoma of Protolichus ornatus sp. n. (A, B) and Protolichus placentis sp. n. (C, D). A, C—heteromorph males, B, D—homeomorph males.
FIGURE 3 in New species of the feather mite genus Protolichus Trouessart, 1884 (Astigmata, Pterolichidae) from lories and lorikeets (Aves: Psittaciformes)
FIGURE 3. Protolichus ornatus sp. n., details of male. A—subcapitulum of heteromorph male, ventral view, B—leg I of heteromorph male, dorsal view, C—leg I of heteromorph male, ventral view, D—leg II of heteromorph male, dorsal view, Etarsus IV of heteromorph male, dorsal view, F—subcapitulum of homeomorph male, ventral view, G—leg I of homeomorph male, dorsal view, H—leg II of homeomorph male, dorsal view
On following pages: 7. Red Slender Loris (Loris tardigradus); 8. Bengal Slow Loris (Nycticebus bengalensis); 9. Sunda Slow Loris (Nycticebus coucang); 10. Javan Slow Loris (Nycticebus javanicus); 11. Bornean Slow Loris (Nycticebus menagensis); 12. Pygmy Slow Loris (Nycticebus pygmaeus). in Lorisidae
On following pages: 7. Red Slender Loris (Loris tardigradus); 8. Bengal Slow Loris (Nycticebus bengalensis); 9. Sunda Slow Loris (Nycticebus coucang); 10. Javan Slow Loris (Nycticebus javanicus); 11. Bornean Slow Loris (Nycticebus menagensis); 12. Pygmy Slow Loris (Nycticebus pygmaeus).
FIG. 10 in Organization and Ontogeny of a Complex Lateral Line System in a Goby (Elacatinus lori), with a Consideration of Function and Ecology
FIG. 10. Ontogeny of neuromast distribution in E. lori derived from fluorescent images. (A) 0 dph, 3 mm TL; (B) 10 dph, 4.5 mm SL; (C) 20 dph, 6.5 mm SL; (D) 31 dph, 9 mm SL; and (E) 38 dph, 9 mm SL presettlement larva. Pectoral fin removed to facilitate visualization of all neuromasts on the trunk. Yolk sac not drawn. Scale bar ¼ 1 mm. See Figures 3 and 4 for identity of neuromasts.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.