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FIGURE 1 in Fish injuries resulting from transient operating conditions in a Brazilian hydropower plant: morphological, physiological and biochemical evaluation in Pimelodus maculatus (Siluriformes: Pimelodidae)
FIGURE 1 | Histological gill alterations in Pimelodus maculatus collected during transient operating conditions (magnification: × 400). Arrows indicate the following lesions: A. Aneurysm; B. Epithelium detachment; C. Telangiectasia; and D. Interlamellar hyperplasia.
FIGURE 2 in Fish injuries resulting from transient operating conditions in a Brazilian hydropower plant: morphological, physiological and biochemical evaluation in Pimelodus maculatus (Siluriformes: Pimelodidae)
FIGURE 2 | Histological alterations in liver and spleen of Pimelodus maculatus collected during transient operating conditions in the tailrace of Machadinho HPP (magnification: × 400). Arrows and asterisks indicate the following lesions: A. Melanomacrophage centers (asterisk) and congested vein (arrow) in the liver; B. Blood cells indicating hepatic hemorrhage (asterisk); C. Melanomacrophage centers in the spleen (asterisk); D. Mononuclear inflammatory infiltrate in the spleen (arrow).
Figure 11 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 11. The efficacy of RM of orange peels against human pathogenic bacteria. ****Extremely significant among compared groups at p <0.05 level. Test 1: RM of Valen-cia orange; Test 2: RM of Mandarin orange; Test 3: RM of African navel orange.
Figure 6 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 6. The structure of bioactive compounds of RM of African Navel orange peel (1) Limonene; (2) Hexadecanoic acid, 2-hydroxy-1- (hydroxymethyl) ethyl; (3) 9,12-Octadecadienoic acid (Z,Z)-, methyl ester; (4) Terephthalic acid, di(2-ethylhexyl) ester; (5) α-Sitosterol; (6) α-D-Glucopyranose, 4-O-α-D-galactopyranosyl-; (7) 2-Methoxy-4-vinylphenol; (8) Eugenol; (9) cis-Vaccenic acid; (10) De-canal; (11) Vitamin E; (12) Dichloroxylenol.
Figure 3 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 3. GC-MS chromatogram of the RMs of orange peels. (A) RM of Valencia orange; (B) RM of Mandarin orange; (C) RM of African Navel orange.
Figure 2 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 2. The morphology of orange fruits. (A) Valenica orange; (B) Madarin orange; (C) African Navel orange.
Figure 5 in Evaluation of chitosan and silver nanoparticles Against isolated pathogens from Mulberry Silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) under laboratory conditions
Figure 5. TEM micrograph of chitosan nanoparticles prepared by ionic gelation method. Table 3. Antimicrobial activity of silver nanoparticles (µl) with different concentrations against fungal and bacterial isolates.
Figure 1 in Evaluation of chitosan and silver nanoparticles Against isolated pathogens from Mulberry Silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) under laboratory conditions
Figure 1. Mean weight of healthy and infected fourth and fifth instar larvae of B. mori. Isolation and identification of bacterial isolates: Total of 7 bacterial were successfully isolated from the outer surface and the inner bоdy of silkworm larvae.
Figure 5 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 5. The structure of bioactive compounds of RM of Mandarin orange peel (1) Lim-onene; (2) Octadecanoic acid, 2-hydroxy-1- (hydroxymethyl) ethyl; (3) Hexadecanoic acid, 2-hydroxy-1-(hydroxymethyl) ethyl; (4) Tetradecanamide; (5) n-Hexadecanoic acid; (6) α-D-Mannofuranoside, 1-O-(10-undecenyl)-; (7) 3-Deoxy-d-mannoic lactone; (8) Desulpho-sinigrin; (9) 2-Methoxy-4-vinylphenol; (10) Decanal; (11) Vitamin E; (12) 1-Monolinoleoylglycerol trimethylsilyl ether.
Figure 4 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 4. The structure of bioactive compounds of RM of Valencia orange peel (1) Limonene; (2) 9-Octadecenamide, (Z)-; (3) Hexadecanoic acid, 2- hy-droxy-1-(hydroxymethyl)ethyl; (4) Octadecanoic acid, 2-hydroxy-1-(hydroxymethyl)ethyl; (5) Tetradecanamide; (6) Hexadecanamide; (7) Ethyl iso-allocholate; (8) Ethyl α-d-glucopyranoside; (9) d-Glycero-d-galacto-heptose; (10) α-Sitosterol; (11) Vitamin E; (12) 4H-1-Benzopyran-4-one, 2-(3,4-dimethoxyphenyl)-5,6,7-trimethoxy-.
Figure 1 in Isolation of 4-nerolidylcatechol from leaves of Piper peltatum L., and evaluation of larvicidal activity in mosquito vectors, with emphasis on Aedes aegypti (Diptera: Culicidae)
Figure 1 Molecular chemical structure of the substances 4-nerolidylcatechol (4-NC), isolated of Piper peltata, and catechol and nerolidol were obtained from Sigma-Aldrich®, used in larvicidal and cytotoxicity bioassays.
Figure 3 in Isolation of 4-nerolidylcatechol from leaves of Piper peltatum L., and evaluation of larvicidal activity in mosquito vectors, with emphasis on Aedes aegypti (Diptera: Culicidae)
Figure 3 Frequency of anomalies in interphase nuclei. a – damage to Aedes aegypti neuroblasts exposed to 4-NC for two generations. b – data on Ae. aegypti oocytes exposed to 4-NC in G1.
Figure 2 in Isolation of 4-nerolidylcatechol from leaves of Piper peltatum L., and evaluation of larvicidal activity in mosquito vectors, with emphasis on Aedes aegypti (Diptera: Culicidae)
Figure 2 Microphotographs of abnormalities in interphasic and metaphasic nuclei of neuroblasts and oocytes of Aedes aegypti, stained with Giemsa (pH 5.8) and lacto-acetic orcein (2%). Arrows indicate: a – normal interphasic nuclei of neuroblasts of the NC group, G 1; b and c – micronuclei in interphasic nuclei of neuroblasts of G 2 (40 and 60 µg/mL), respectively; d – budding and telophasic bridging nucleus of neuroblasts (60 µg/mL, G2); e – budding in interphasic nucleus of oocytes (40 µg/mL, G1); f – normal metaphasic chromosomes (NC, G1); g and h – chromosomal metaphases of neuroblasts showing achromatic secondary constriction (60 µg/mL, G2). Magnification: 1600×. Scale bar: 5 and 10 µm.
Dataset: Seeking feedback and taking action: An evidence based evaluation of the impact of using practice tests with inbuilt feedback in a first-year business class
<p><strong>This data set includes both qualitative and quantitative data.</strong></p> <p><strong>Qualitative, survey data sought student opinions on the purpose of feedback and the actions taken following receipt of feedback.</strong></p> <p>1. Survey data collection began with a 13 question survey used in classes in early February 2020. This initial feedback survey was conducted via MS Forms. The data from this is available in the following files: a. 2020-2-17_feedbacksurvey_1_rawdata.csv b. 2020-2-17_feedbacksurvey_1_how-many-times-got-feedback.csv c. 2020-2-17_feedbacksurvey_1_take-action-after-feedback.csv d. 2020-2-17_feedbacksurvey_1_type-feedback-you-prefer.csv e. 2020-2-17_feedbacksurvey_1_purpose-of-feedback.csv f. 2020-2-17_feedbacksurvey_1_define-feedback.csv g. 2020-2-17_feedbacksurvey_1_what-makes-feedback-useful.csv h. 2020-2-17_feedbacksurvey_1_know-how-feedback-effective.csv i. 2020-2-17_feedbacksurvey_1_what-can-institute-do-to-improve-feedback.csv</p> <p><br>2. The first practice test was followed by a short survey of approximately 3 questions (created using MS Forms, a mix of closed and open questions). The data from this is available in the following files: a. 2020-3-2_feedbacksurvey_2_rawdata.csv b. 2020-3-2_action-comments-coded.csv c. 2020-3-2_other-comments-coded.csv d. 2020-3-2_open-question-comments.csv</p> <p>3. The second practice test followed by a 3 question short survey (created using MS Forms, all open questions) The data from this is available in the following files: a. 2020-5-12_feedbacksurvey_3_rawdata.csv b. 2020-5-12_feedbacksurvey_3_what-learn-by-participating.csv c. 2020-5-12_feedbacksurvey_3_what-action-taking.csv d. 2020-5-12_feedbacksurvey_3_has-module-changed-view-of-feedback.csv<br><br><strong>Quantitative data was gathered from Learning Management System, Canvas. This data shows the relationship between number of practice tests taken by students and their resultant grades.</strong></p> <p><br>4. I gathered the number of times students had taken the practice test before the midterm summative exam and compared with the student grades from the 30% midterm summative exam. The data from this is available in the following files: a. 2020-11-26_Canvasdata_midterm.csv</p> <p>5. Following the completion of the second summative exam (worth 70%), Canvas data showing the number of times the students had taken the second practice test and the grade outcomes for the students for the summative 70% test was gathered. The data from this is available in the following files: a. 2020-11-26_Canvasdata_endterm.csv</p> <p><br>6. A regression model was created to examine the impact of number of times that the practice test was taken on final grades, whilst controlling for midterm grades. The data from this is available in the following files: a. 2024-2-12_Anonymised_mid_and_final_grades_with_number_of_practices_before_final_exam.csv</p>
Data From: Clinical evaluation of patterned dried plasma spot cards to support quantification of HIV viral load and reflexive genotyping
<p>This is the data set from all figures and tables from the manuscript "Clinical evaluation of patterned dried plasma spot cards to support quantification of HIV viral load and reflexive genotyping", which is posted to the ChemRxiv preprint server (10.26434/chemrxiv-2024-5bqm7) and currently in consideration for peer-reviewed publication elsewhere.</p>
Evaluation of design parameters on the outcome of intrastromal ring surgery using biomechanical simulations
<p><strong><a title="Evaluation of design parameters on the outcome of intrastromal ring surgery using biomechanical simulations" href="../records/13377029?preview=1&token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjUzYjY5ZWY4LTgzZTctNDUyMi05MDkxLTJjZjBlMWMxMzYxOCIsImRhdGEiOnt9LCJyYW5kb20iOiI4MmRhMThhNjlkZGE4NTg5OWQ1MDRlZWYxNjIwZmU3MCJ9.DuFue1sYgSBRo9k0tqSJKkh3gKyZaIbvn0i4MupXLei0aBMYdhYX05ZPjMhDdn6ufu0M4tgxRkmNbxdQkwzI4A">10.5281/zenodo.13377029 </a>Background</strong>: The cornea plays a role in the refractive power of the eye, and when its natural curvature and thickness are compromised by diseases such as keratoconus or high myopia, this results in loss of visual acuity. Intracorneal rings (ICRs) were developed as a treatment option to restore the natural corneal curvature by implanting rings into tunnels cut within the corneal stroma. However, selecting and placing the appropriate ring can be difficult, and predicting refractive outcomes is challenging.</p> <p><strong>Objective</strong>: The purpose of this study was to better understand the design parameters of the rings that determine postoperative refractive and mechanical outcomes.</p> <p><strong>Methods</strong>: We developed an automated finite element simulation pipeline for ICR implantation and tested 300 variations of 20 ICRs.</p> <p><strong>Results</strong>: The outcome of ICR was dominated by the vertical size of the ring; 84% of the change in corneal curvature can be attributed to the vertical size of the ring, while only 13% were attributed to the detailed cross-sectional shape of the ring. However, the cross-sectional shape of the ring is limited to the change in axial length and contact pressure between the ring and the cornea. The horizontal dimension of the ring plays only a minor role in the postoperative outcome.</p> <p><strong>Conclusion</strong>: These results support Keraring's approach to ring scaling, in which only the vertical dimension of the ring is changed, while the horizontal dimension remains constant. Numerical models help to understand ICR outcomes, design implants, and personalize empirical nomograms to achieve more successful postoperative outcomes.</p>
Supplemental data for: Evaluation of SARS-CoV-2 response at the University of North Carolina (UNC) at Charlotte using percent positivity data and viral genomic sequence data.
<p>Supplemental data for:</p> <p>Evaluation of SARS-CoV-2 response at the<br>University of North Carolina (UNC) at Charlotte<br>using percent positivity data and viral genomic<br>sequence data.</p> <p>Submitted to Biocarla 2024</p> <p>https://carla2024.org/portfolios/biocarla/</p> <p>Authors:</p> <p>Daniel Janies 1,2,3 [0000−0002−7890−9906], Shirish Yasa 1,2,3 [0000−0003−3217−4921],<br>Colby T. Ford 1,3,4 [0000−0002−7859−3622] Jannatul Ferdous 2,3 [0000−0003−3053−9616],<br>William Taylor 2,3 [0009−0000−6204−1172], April Harris 2,3 [0009−0009−2557−7926],<br>Sam Kunkleman 2,3 [0000−0002−2309−6418], Juan Bolanos 2,3, Kevin Lambirth 2,3 [0000-0002-6568-543X], Denis<br>Jacob Machado 1,2,3 [0000−0001−9858−4515], Cynthia Gibas 1,2,3 [0000−0002−1288−9543],<br>and Jessica Schlueter 1,2,3 [0000−0002−6490−0580]</p> <p>Affiliations:</p> <p>1) Center for Computational Intelligence to Predict Health and Environmental Risks<br>(CIPHER), University of North Carolina at Charlotte 28223, USA<br>Correspondence to: djanies@charlotte.edu<br>https://cipher.charlotte.edu<br>2) Department of Bioinformatics and Genomics, University of North Carolina at<br>Charlotte 28223, USA https://cci.charlotte.edu/departments/<br>department-of-bioinformatics-and-genomics/<br>3) College of Computing and Informatics, University of North Carolina at Charlotte<br>28223, USA https://cci.charlotte.edu<br>4) School of Data Science, University of North Carolina at Charlotte 28223, USA<br>https://sds.charlotte.edu<br>5) Division of Research, University of North Carolina at Charlotte 28223, USA<br>https://research.charlotte.edu/</p> <p> </p>
Fig. 5 in Apparatus of the conodont Scolopodus striatus Pander, 1856 and a re-evaluation of Pander's species of Scolopodus
Fig. 5. Scolopodus species originally described by Pander. A. Scolopodus striatus Pander, 1856, in lateral (A1, A4), posterior (A2), and anterior (A3) views; A5, cross section of the base (Pander 1856: table 2, fig. 8a–d, table A, fig. 5f). B. Scolopodus semicostatus Pander, 1856, in lateral views (B1, B2); B3, cross section of the base (Pander 1856: table 2, fig. 4a, b, table A, fig. 5e). C. Scolopodus sublaevis Pander, 1856, in lateral (C1) and posterior (C2) views; C3, cross section of the base (Pander 1856: table 2, fig. 3a, b, table A, fig. 5e). D. Scolopodus quadratus Pander, 1856, in lateral (D1, D2), posterior (D3), and lower (D4) views; D5, cross section of the base (Pander 1856: table 2, fig. 6a–c, table A, fig. 5e). E. Scolopodus costatus Pander, 1856, in lateral (E1, E4), posterior (E2), and anterior (E3) views; E5, cross section of the base (Pander 1856: table 2, fig. 7a–d, table A, fig. 5e). F. Scolopodus aequilateralis Pander, 1856, in lateral (F1, posterior (F2), and anterior (F3) views; F4, cross section of the base (Pander 1856: table 2, fig. 5a–c, table A, fig. 5e).
Fig. 8. Scolopodus striatus Pander, 1856 from the Harku section, Estonia. All elements are from the sample H−5 in Apparatus of the conodont Scolopodus striatus Pander, 1856 and a re-evaluation of Pander's species of Scolopodus
Fig. 8. Scolopodus striatus Pander, 1856 from the Harku section, Estonia. All elements are from the sample H−5, the lower part of the Baltoniodus navis Zone (Early Ordovician). A–C. Acontiodiform elements (Sa). A. PMU In 1019 in inner (A1), posterior (A2), and outer (A3) views; detail of the cusp (A4), note the absence of striation. B. PMU In 1020 in inner (B1) and posterior (B2) views. C. PMU In 1021 in posterior view. D–F. Scandodiform elements (M). D. PMU In 1022 in posterior (D1) and inner (D2) views. E. PMU In 1023 in inner (E1) and outer (E2) views. F. PMU In 1024 in outer (F1), posterior (F2), and inner (F3) views. G. Detail of the cusp, PMU In 1025, note the striation. H, I. Subrounded elements (Sa). H. PMU In 1026 in lateral (H1), posterior (H2), and lateral (H3) views. I. PMU In 1027 in lateral (I1), posterior (I2), and lateral (I3) views. Scale bars 200 µm, except A4 and G for which are 50 µm.
Fig. 1 in Apparatus of the conodont Scolopodus striatus Pander, 1856 and a re-evaluation of Pander's species of Scolopodus
Fig. 1. Location of the Harku section in Estonia and the Popowka River section in Russia. Legend: 1, the Popowka section; 2, the Harku section; dash line marks the Baltic−Ladoga Klint.
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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)
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.