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53 results for “Type of classes”
Effects of the type of lunch meal and teaching-learning methods on CRI student engagement in afternoon classes.
<p><br> The post-lunch slump is a natural dip in energy caused not only by our circadian cycles but also as a result of digestive processes in our body after consuming lunch meals. It being a widely known concept, there are ample studies that focus on its effects on academic performance of students. While this dip in energy does affect student engagement to a large extent, there are also studies on how the teaching-learning methods are a factor affecting academic performance. However, there are no relevant studies that aim to look at both these factors in tandem, i.e. the effect of lunch along with the teaching-learning methods in the afternoon classrooms as factors influencing academic performance and student engagement. This paper aims to study this area of topic hypothesising that having a more balanced lunch along with engaging in more interactive classes would positively correlate with student engagement in afternoon classes. The study was conducted with bachelors and masters students at the CRI, University of Paris through surveys that were sent to students at the end of their class day. </p> <p>Due to lack of adequate data, the study was not able to produce significant correlations. However smaller nuances of the relationship between lunch, teaching-learning methods and student engagement were found. While engagement in classrooms did seem to be maximum when it was interactive and only 50% of students' lunch was formed of carbohydrates, no significant correlations were found to confirm the hypotheses.</p>
Monocyte class switch and hyperinflammation characterise severe COVID-19 in type 2 diabetes
<p>raw and source data for manuscript EMM-2020-13038 under revision and preprint doi: https://doi.org/10.1101/2020.06.02.20119909</p>
Fig. 2 in Resource use by the facultative lepidophage Roeboides affinis (Günther, 1868): a comparison of size classes, seasons and environment types related to impoundment
Fig. 2. Medians of percentage volume of scales consumed by Roeboides affinis in the upper Tocantins river, from 1995 to 2000, in: (a) different environmental types (Lotic, n = 38, vs. Lentic, n = 52); (b) seasons (Dry, n = 25, vs. Wet, n = 68); (c) size classes 1 (n = 12), 2 (n = 38), 3 (n = 26), 4 (n = 9) and 5 (n = 5) and (d) different post-impoundment phases (Filling, n = 9, vs. Operation, n = 2) in lentic sites.
Fig. 1 in Resource use by the facultative lepidophage Roeboides affinis (Günther, 1868): a comparison of size classes, seasons and environment types related to impoundment
Fig. 1. CA ordination of 155 individuals of Roeboides affinis of two groups formed by five size classes (Group1, n = 33, and Group 2, n = 22) according to the consumption of food items (volumetric proportions) in the upper Tocantins River in two environment types (Lotic, n = 61, vs. Lentic, n = 94) related to its impoundment by the Serra da Mesa Hydroelectric Dam, from 1995 to 2000.
Figs. 6–10. 6. Cerithium magnum Jay, 1836 in Catalog Of Recent Type Specimens In The Division Of Invertebrate Zoology, American Museum Of Natural History. V. Mollusca, Part 2 (Class Gastropoda [Exclusive Opisthobranchia And Pulmonata With Supplements To Gastropoda [Opisthobranchia], And Bivalvia
Figs. 6–10. 6. Cerithium magnum Jay, 1836 (lectotype—AMNH 56067), X 0.75. 7. Conus Bernardi and Crosse, 1861 (syntype—AMNH 47629), X 1.75. 8. Conus pseudoaustini Usticke, (holotype—AMNH 195452), X 2. 9. Cyclostoma maculosa Jay, 1839 (syntype—AMNH 56086), 10. Cyclostoma multilineata Jay, 1839 (syntype—AMNH 56087), X 2.6.
Рис. 5. Варианты преΑсказанной Αоменной структуры скавенΑжер-рецепторов гемоцитов моΛΛюсков Planorbarius corneus. Сокращения (зΑесь и ΑаΛее): SR — богатый цистеином Αомен скавенΑжер-рецептора, Filament — Αомен промежуточного фиΛамента, TSP1 — повторы тромбоспонΑина типа 1, KR — крингΛ-Αомен, LDLa — Αомен рецептора Λипопротеинов низкой пΛотности кΛасса А Fig. 5. Variants of the predicted domain structure of scavenger receptors from hemocytes of Planorbarius corneus molluscs. Abbreviations (here and in what follows): SR — scavenger receptor Cys-rich domain, Filament — intermediate filament protein, TSP1 — thrombospondin type 1 repeats, KR — kringle domain, LDLa — low-density lipoprotein receptor domain class A in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)
Рис. 5. Варианты преΑсказанной Αоменной структуры скавенΑжер-рецепторов гемоцитов моΛΛюсков Planorbarius corneus. Сокращения (зΑесь и ΑаΛее): SR — богатый цистеином Αомен скавенΑжер-рецептора, Filament — Αомен промежуточного фиΛамента, TSP1 — повторы тромбоспонΑина типа 1, KR — крингΛ-Αомен, LDLa — Αомен рецептора Λипопротеинов низкой пΛотности кΛасса А Fig. 5. Variants of the predicted domain structure of scavenger receptors from hemocytes of Planorbarius corneus molluscs. Abbreviations (here and in what follows): SR — scavenger receptor Cys-rich domain, Filament — intermediate filament protein, TSP1 — thrombospondin type 1 repeats, KR — kringle domain, LDLa — low-density lipoprotein receptor domain class A
BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 10. Detailed accuracy separated by classes and a confusion matrix which belongs to the dataset of Coiflet 1 applied by our main method (ANNSVM)
<p>With regard to accuracy values of each class as presented in Figure 10, we observed that the accuracy of the two-dimensional chart class was the lowest (i.e., 0.875), while others were over 0.9. Results here suggested that both the bar and pie classes have their own unique characteristics, as opposed to the 2Dchart class. For example, the graph images that contained some rectangles were individually categorized in the bar graph class. A similar phenomenon occurred for circles in the pie chart class. In contrast, the 2Dchart class contained mixed types of graphs; hence, the graph characteristics belonging to the 2Dchart class varied. </p>
Code for the paper "First-Class Data Types in Shallow Embedded Domain-Specific Languages using Metaprogramming": IFL 2022
<p>Code accompanying the paper First-Class Data Types in Shallow Embedded Domain-Specific Languages using Metaprogramming.</p> <p>All code is Haskell code, tested with GHC 8.8.4</p> <ul> <li>./tuple: contains the examples from Section 3.2</li> <li>./bin: contains the examples from Section 5.1</li> <li>./artifact: contains an extended version of the running example of the paper<br> </li> </ul>
Effect of Methyldopa on MHC Class II Antigen Presentation in Type 1 Diabetes
ClinicalTrials.gov study NCT01883804. IPD Sharing: Not stated. Countries: 1. Publications: 2.
FIGURE 10 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 10. Paratype of Chlorospingus flavopectus olsoni, IAvH-A-3778, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
FIGURE 4 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 4. Holotype of Grallaria rufocinerea romeroana, IAvH-A-0525, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
FIGURE 8 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 8. Paratype of Scytalopus griseicollis morenoi, IAvH-A-14948, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
FIGURE 1 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 1. Paratype of Leptotila verreauxi hernandezi, IAvH-A-1577, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
FIGURE 7 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 7. Paratype of Scytalopus perijanus, IAvH-A-15290, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
FIGURE 6 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 6. Paratype of Scytalopus stilesi, IAvH-A-15289, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
FIGURE 5 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 5. Paratype of Grallaria rufocinerea romeroana, IAvH-A-0526, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
FIGURE 2 in Illustrated and online catalog of the type specimens of birds (Class: Aves) in the Ornithological Collection at the Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-A), Colombia
FIGURE 2. Paratype of Leptotila verreauxi hernandezi, IAvH-A-1579, ventral, dorsal, and lateral view (scale bar = 1 cm). Photograph SCC & KGB.
Screening for Undiagnosed Type 2 Diabetes in New Classes of Subjects at High Risk
ClinicalTrials.gov study NCT00520962. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Datasets for feature-specific class prediction, from readings in several cell-types.
<p>The cell-types featured here are A549, H1ESC, HeLa, IMR90, K562, and MCF7. These happen to be the 6 cell-types out of 8 existing in our integrative database, GREG (https://doi.org/10.1093/database/baz162). The normalized read-coverages from features (variables) like DNA-Protein bindings, histone modifications; ChIP-Seq data, are mapped through genomic intervals of 2 Kbs, genome-wide. These genomic intervals (technically <em>bins</em>), are classified as <em><strong>Hubs</strong></em> or <strong><em>Non-Hubs</em></strong>. Hubs are those bins that are engaged in genomic crosstalk at a distance of 1Mb or Inf., and are Non-Hubs otherwise.</p> <p>Note that features are inconsistent across different cell-types, due to the availability of data. The BAM files have been sourced from ENCODE and NCBI repositories. Also, the users might want to use <em>unique() in R</em> or something similar to refine the datasets for non-redundant instances (if existing).<em> </em></p> <p>The analysis following this data can be tracked at https://github.com/mora-lab/GREG-Hubs.</p>
Figs. 15–17. 15. Melania laeta Jay, 1839 in Catalog Of Recent Type Specimens In The Division Of Invertebrate Zoology, American Museum Of Natural History. V. Mollusca, Part 2 (Class Gastropoda [Exclusive Opisthobranchia And Pulmonata With Supplements To Gastropoda [Opisthobranchia], And Bivalvia
Figs. 15–17. 15. Melania laeta Jay, 1839 (syntype—AMNH 56113), X 1.5. 16. Odostomia nestho) beauforti Jacot, 1921 (holotype—AMNH 15728), X 8. 17. Turbo rotelliformis Jay, 1839 types—AMNH 56071 [right], 56071a [left]), X 1.
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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.