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Figure 5 in Improved diagnostic sensitivity of human strongyloidiasis using point-of-care mixed recombinant antigen-based immunochromatography
Figure 5. The intensity values of NIE (a), SsIR (b), and NIE-SsIR (c) ICT kits were evaluated using an in-house strip reader (red line indicates cut-off intensity value). Groups I, II, and III represented healthy controls, proven strongyloidiasis, and other parasitic infections, respectively. Any value above the cut-off value (red horizontal lines) is negative. Receiver operator characteristic (ROC) area analyses of the NIE, SsIR, and NIE-SsIR ICT kits to compare accuracy of all kits with gold standard methods (d).
Figure 3 in Improved diagnostic sensitivity of human strongyloidiasis using point-of-care mixed recombinant antigen-based immunochromatography
Figure 3. The purified NIE (a) and SsIR (b) fusion-tagged proteins visualized following electrophoresis through 12% and 10% SDS–PAGE, respectively. The gels were stained with Coomassie Brilliant Blue. Representative dot ELISAs (c) using NIE (1–2), SsIR (3–4), and mixed NIE and SsIR (5–6) proteins as the antigens probed with pooled positive (1, 3, 5) and negative (2, 4, 6) sera. M indicates molecular mass maker.
Figure 1 in Improved diagnostic sensitivity of human strongyloidiasis using point-of-care mixed recombinant antigen-based immunochromatography
Figure 1. Flow diagram of study design for the NIE, SsIR, and NIE-SsIR ICT kits. The SsIR ICT kit procedure was performed as previously described by Boonroumkaew et al. [4].
Figure 2 in Improved diagnostic sensitivity of human strongyloidiasis using point-of-care mixed recombinant antigen-based immunochromatography
Figure 2. The parts of an ICT kit (left) and reference colour card (right) (a). An ICT kit showing a positive result (b) with a band at both control (C) and test (T) lines. An ICT kit showing a negative result (c) with a band only at the C line. The intensity value of the colour image is specified by the red, green, and blue parameters as separate integers from 0 to 255 with the 8-bit representation of a pixel in the image. The intensity values were plotted for C and T lines of the positive (d) and negative (e) ICT kits. The intensity values (d and e) were related to colour band intensity of C and T lines in the strips. S indicates sample hole.
Figure 4 in Improved diagnostic sensitivity of human strongyloidiasis using point-of-care mixed recombinant antigen-based immunochromatography
Figure 4. Representative results of the NIE, SsIR, and NIE-SsIR ICT kits, Positive, positive pooled serum samples; Negative, negative pooled serum samples; Hc, healthy control; Ss, proven strongyloidiasis; Gl, giardiasis; Eh, amoebiasis; Bh, blastocystosis; Ov, opisthorchiasis; Fg, fascioliasis; Ph, paragonimiasis; Tn, taeniasis; Cc, cysticercosis; Se, sparganosis; Hw, hookworm infections; Al, ascariasis; Tt, trichuriasis; Ts, trichinellosis; Ac, angiostrongyliasis; Gs, gnathostomiasis; Cp, capillariasis. The intensity cut-off levels for a positive result of the NIE, SsIR, and NIE-SsIR ICT kits were 1, 1, and>0.5, respectively by the naked eye and <164, <164, and <167, respectively by the in-house strip reader. The "+" and "—" symbols indicated positive and negative results.
Dataset: Check Point Software Technologies Ltd. (CHKP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Old Point Financial Corporation (OPOF) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Inflection Point Acquisition Corp. II (IPXXW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Inflection Point Acquisition Corp. II (IPXXU) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Long-lived magnetization in an atomic spin chain tuned to a diabolic point
<p>This is the OpenData Folder for the paper under the same name.</p>
Рис. 1. РаспоΛожение стационаров вбΛизи насеΛенных пунктов, в окрестностях которых собираΛись воΑные и почвенные пробы: 1 —ЗакатаΛа (41.755469 N, 46.658248 E; 2 — ИсмаиΛΛы (40.971043 N, 48.133806 E; 3 — ПиргуΛи (40.868328 N, 48.599481 E); 4 — АΛтыагач (40.942707 N, 49.027354 E); 5 — Шемаха (40.742370 N, 48.639842 E); 6 — Куба (41.424798 N, 48.487536 E) Fig 1. Location of Permanent Sampling Points near the settlements in the vicinity of which water and soil samples were collected: 1 — Zagatala (41.755469 N, 46.658248 E; 2 — Ismayilli (40.971043 N, 48.133806 E; 3 — Pirguli (40.868328 N, 48.599481 E); 4 — Altiagach (40.942707 N, 49.027354 E); 5 — Shemakha (40.742370 N, 48.639842 E); 6 — Сuba (41.424798 N, 48.487536 E) in Ciliates of fresh waters and soils of the Greater Caucasus (within Azerbaijan)
Рис. 1. РаспоΛожение стационаров вбΛизи насеΛенных пунктов, в окрестностях которых собираΛись воΑные и почвенные пробы: 1 —ЗакатаΛа (41.755469 N, 46.658248 E; 2 — ИсмаиΛΛы (40.971043 N, 48.133806 E; 3 — ПиргуΛи (40.868328 N, 48.599481 E); 4 — АΛтыагач (40.942707 N, 49.027354 E); 5 — Шемаха (40.742370 N, 48.639842 E); 6 — Куба (41.424798 N, 48.487536 E) Fig 1. Location of Permanent Sampling Points near the settlements in the vicinity of which water and soil samples were collected: 1 — Zagatala (41.755469 N, 46.658248 E; 2 — Ismayilli (40.971043 N, 48.133806 E; 3 — Pirguli (40.868328 N, 48.599481 E); 4 — Altiagach (40.942707 N, 49.027354 E); 5 — Shemakha (40.742370 N, 48.639842 E); 6 — Сuba (41.424798 N, 48.487536 E)
Phosphoglycerate kinase is a central leverage point in Parkinson's Disease driven neuronal metabolic deficits
<p><span>Although certain drivers of familial Parkinson’s Disease (PD) compromise mitochondrial integrity, whether metabolic deficits underly other idiopathic or genetic origins of PD is unclear. Here, we demonstrate that PGK1, a gene in the PARK12 susceptibility locus, <span> </span>is rate limiting in neuronal glycolysis and that modestly increasing PGK1 expression significantly boosts <span> </span>neuronal ATP production kinetics that is sufficient to suppress PARK20-driven synaptic dysfunction. We found that his activity enhancement depends on the molecular chaperone PARK7/DJ-1, whose loss of function significantly disrupts axonal bioenergetics. <em>In-vivo, </em>viral expression of PGK1 confers protection of striatal DA axons against metabolic lesions. These data support the notion that bioenergetic deficits may underpin PD associated pathologies and point to improving neuronal ATP production kinetics as a promising path forward in PD therapeutics.</span></p>
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 in Novel analysis of locality data can inform better inventory and monitoring practices for paleontological resources at John Day Fossil Beds National Monument Oregon, USA
FIGURE 6. Map showing estimated collection area. Points are field localities and 15 meter buffer shows estimated prospecting areas for 2008 (yellow), 2009 (green), and 2010 (blue). Precise locality information is available to qualified researchers upon request from JODA's museum program.
Рис. 4. РаспреΑеΛение рыб в верхнем и нижнем бьефе в периоΑ осенней миграции 2018 г. (а) и верхнем бьефе в весеннюю миграцию 2019 г. (б). Точками показаны места фиксации рыб эхоΛотом Fig. 4. Distribution of fish upstream and downstream of the reservoir during the autumn migration of 2018 (а) and upstream of the reservoir during the spring migration of 2019 (b). Points indicate the locations where fish were registered by echosounder in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex
Рис. 4. РаспреΑеΛение рыб в верхнем и нижнем бьефе в периоΑ осенней миграции 2018 г. (а) и верхнем бьефе в весеннюю миграцию 2019 г. (б). Точками показаны места фиксации рыб эхоΛотом Fig. 4. Distribution of fish upstream and downstream of the reservoir during the autumn migration of 2018 (а) and upstream of the reservoir during the spring migration of 2019 (b). Points indicate the locations where fish were registered by echosounder
Programming codes for obtaining components by means of Single Point Incremental Forming using a Kuka Robot
<p>Programming codes for obtaining components by means of Single Point Incremental Forming using a Kuka Robot, adopting different strategies</p>
Supplementary Datasets and Movies for the Paper "Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change"
<p>Supplementary Datasets and Movies for the Paper <br><strong>Mapping finite-fault earthquake slip using spatial correlation between seismicity and point-source Coulomb failure stress change </strong><br>by Anthony Lomax</p> <p>DOI: <a href="https://doi.org/10.48550/arXiv.2404.05437" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2404.05437</a></p> <p> </p> <p><strong>Movie S1 Animation of the 2018, Mw 7.1 Anchorage, Alaska sequence and background seismicity 2014-2022.</strong> Relocated seismicity shown for: 2014 – 2018 mainshock (light blue), 2018 mainshock – 1 month after mainshock (green), 1 month after mainshock through 2022 (light orange); large black dot indicates the Mw 7.1 mainshock hypocenter. See figure caption in main paper for more details.</p> <p><strong>Movie S2 Animation of seismicity-stress, 3D finite-faulting potential slip results the 2018 Mw 7.1 Anchorage, Alaska earthquake sequence.</strong> The high-potential portion of the seismicity-stress finite-faulting field is shown in red for west-dipping reciever faults inferred from the first 1 day of aftershocks (blue dots) after the 2018 mainshock (large black dot). See figure caption in main paper for more details.</p> <p> </p> <p><strong>CSV (.csv) and NLL-Hypocenter (.hyp) format catalogs of NLL-SSST-coherence relocations used in this study:</strong></p> <p>Parkfield_2022_NLL-SSST-coherence_20231201A.csv<br>Parkfield_2022_NLL-SSST-coherence_20231201A.hyp</p> <p>AntelopeValley_2021_NLL-SSST-coherence_20231223A.csv<br>AntelopeValley_2021_NLL-SSST-coherence_20231223A.hyp</p> <p>Anchorage_2018_NLL-SSST-coherence_20231125A.csv<br>Anchorage_2018_NLL-SSST-coherence_20231125A.hyp</p> <p> </p>
Plate XXIII, Figs K.1–K.9 – Type K (Morocco, High Atlas, M'Goun Massif). K.1, adult ♂b, sclerotized apex of aedeagus; K.2, brachypterous adult ♂b, mesal field with sensilla; K.3, adult ♂b, hemitergal lobes, lateral view; K.4, pointed paraprocts of nymph, ventral view; K.5, cerci of nymph, ¾ lateral view; K.6, tergites of nymph, dorsal view; K.7, head, pronotum and mesonotum of macropterous♀ nymph; K.8, adult ♂b, head and pronotum; K.9, adult ♂b, sclerotized apex of aedeagus. in Steps towards a revision of the Perla bipunctata Pictet, 1833 species complex (Plecoptera: Perlidae)
Plate XXIII, Figs K.1–K.9 – Type K (Morocco, High Atlas, M'Goun Massif). K.1, adult ♂b, sclerotized apex of aedeagus; K.2, brachypterous adult ♂b, mesal field with sensilla; K.3, adult ♂b, hemitergal lobes, lateral view; K.4, pointed paraprocts of nymph, ventral view; K.5, cerci of nymph, ¾ lateral view; K.6, tergites of nymph, dorsal view; K.7, head, pronotum and mesonotum of macropterous♀ nymph; K.8, adult ♂b, head and pronotum; K.9, adult ♂b, sclerotized apex of aedeagus.
Fig. 3. Sealing and walling off the access point between the 2 in Territorial status-quo between the big-headed ant (Hymenoptera: Formicidae) and the Formosan subterranean termite (Isoptera: Rhinotermitidae)
Fig. 3. Sealing and walling off the access point between the 2 species where both termites and ants are depositing sand particles to create a physical sepa- ration with little to no casualties. A) in the tube between the arenas, B) at the entrance of the arena.
Data for: Biogeography of oribatid mites (Acari) reflects their ancient origin and points to Southeast Asia as centre of radiation
<p>Understanding the worldwide distribution of species has fascinated scientists at least since Alfred Russel Wallace. Global patterns of belowground biodiversity may fundamentally differ from those of aboveground organisms. Here, we investigated the global distribution of oribatid mites in five biogeographic regions including North America, South America, Eurasia, Africa, and Oceania using a world list on the distribution of ~11,400 described species (including subspecies) at species, genera, and family levels. We found that most “endemic” (i.e., only occurring in one of the regions) species (4297) and also genera (143) occurred in Eurasia indicating that this region was the centre of radiation of oribatid mites. Within Eurasia, oribatid mite diversity was highest in Southeast Asia (1975 species) likely reflecting the long tropical history of this region (at least 200 million years), and also high fluctuations in water levels and island formation on the Sunda Shield. On a family level, oribatid mite diversity did not differ between biogeographic regions indicating that oribatid mites are much older than the tropics and older than the existence of Pangaea supporting the view of their origin in the early Palaeozoic. Finally, among the 55 species that occurred in all biogeographic regions nearly 50 % reproduce by thelytoky and colonize high latitude ecosystems, indicating that compared to sexual species a disproportionally high number of parthenogenetic species are distributed worldwide suggesting that they possess a general-purpose genotype. The other ~50 % sexuals predominantly occur in tropical/subtropical regions across biogeographic regions supporting the view that resource shortage in tropical regions favours sex. Our findings highlight the importance of biogeographical studies of soil animals to better understand their diversity, distribution, and life history strategies. </p>
Fig. 1. Tsaganomyid cheek teeth showing reference points for measurements, A, B in On Tsaganomyidae (Rodentia, Mammalia) of Asia
Fig. 1. Tsaganomyid cheek teeth showing reference points for measurements, A, B. Lateral view of cheek teeth. A. p4. B. Other cheek teeth except p4. C–E. Occlusal view of cheek teeth. C. Upper cheek teeth. D, E. Lower cheek teeth. D. Less worn. E. More worn. Abbreviations are: h, enamel height; h1, enamel height on lingual side of upper teeth (buccal side of lower teeth); h2, on buccal side of upper teeth (lingual side of lower teeth); h3, enamel height between two roots on anterobuccal side on p4; L, Length; and W, width.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.