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245 results for “Mathematics”
Fig. 10 in Mathematical interpretation of avian egg shapes
Fig. 10. Spher-obtuse аsymmetric pseudo-ovoid: 1, 9, 17) construction of ovoids in the shape matrix; 2, 10, 18) egg profile diagram; bird egg profiles: 3) Accipiter gentilis; 4) Accipiter nisus; 5) Falco vespertinus; 6) Falco tinnunculus; 7) Panurus biarmicus; 8) Asio otus; 11) Milvus milvus; 12) Hieraaetus pennatus; 13) Picus canus; 14) Falco cherrug; 15) Columba oenas; 16) Falco tinnunculus; 19) Dendrocopos major; 20) Cuculus canorus; 21) Sylvia atricapilla; 22) Fringilla coelebs; 23) Crex crex; 24) Phasianus colchicus.
Fig. 9 in Mathematical interpretation of avian egg shapes
Fig. 9. Аsymmetric sphere-rounded pseudo-ovoid: 1, 9, 17) construction of ovoids in the shape matrix; 2, 10, 18) egg profile diagram; bird egg profiles: 3) Egretta alba; 4) Podiceps nigricollis; 5) Porzana parva; 6) Ardea cinerea; 7) Cygnus olor; 8) Podiceps cristatus; 11) Cygnus olor; 12) Casuarius casuarius; 13) Egretta garzetta; 14) Mergus serrator; 15) Egretta alba; 16) Phalacrocorax carbo; 19) Anser anser; 20) Pelecanus crispus; 21) Podiceps grisegena; 22) Cygnus olor; 23) Phalacrocorax carbo; 24) Podiceps cristatus,
Figure 12 in Mathematical interpretation of avian egg shapes
Figure 12. Rounded -drop-shaped asymmetric pseudo-ovoid: 1, 9, 17) construction of ovoids in the matrix of forms; 2, 10, 18) egg profile diagram; bird egg profiles: 3) Oriolus oriolus; 4) Podiceps nigricollis; 5) Remiz pendulinus; 6) Porzana porzana; 7) Procellaria leucomelas; 8) Fulica atra;11) Catharacta maccormicki; 12) Corvus corax; 13) Phalacrocorax pelagicus; 14) Riparia riparia; 15) Larus genei; 16) Alauda arvensis; 19) Platalea leucorodia; 20) Upupa epops; 21) Larus cachinnans; 22) Pica pica; 23) Lunda cirrhata; 24) Gavia arctica.
Fig. 11 in Mathematical interpretation of avian egg shapes
Fig. 11. Asymmetric rounded-typical pseudo-ovoids: 1, 9, 17) construction of ovoids in the shape matrix; 2), 10), 18) egg profile diagram; bird egg profiles: 3) Fringilla coelebs; 4) Tetrastes bonasia; 5) Chloris chloris; 6) Fulica atra; 7) Sturnus vulgaris; 8) Turdus merula; 11) Acrocephalus palustris; 12) Turdus viscivorus; 13) Cuculus canorus; 14) Oriolus oriolus; 15) Luscinia luscinia; 16) Dendrocopos major; 19) Haematopus ostralegus; 20) Remiz pendulinus; 21) Porzana porzana; 22) Anthropoides virgo; 23) Cygnus cygnus;24) Anas strepera.
Figure 4 in Mathematical interpretation of avian egg shapes
Figure 4. Rounded symmetric pseudo-ovoid: 1, 9, 17) construction of ovoids in the shape matrix; 2, 10, 18) egg profile diagram; bird egg profiles: 3) Pygoscelis papua; 4) Struthio camelus; 5) Alcedo atthis; 6) Strix aluco; 7) Hieraaetus pennatus; 8) Aegolius funereus; 11) Pygoscelis antarctica; 12) Merops apiaster; 13) Strix aluco; 14) Ardeola ralloides; 15) Streptopelia decaocto; 16) Asio otus; 19) Bubo bubo; 20) Ciconia ciconia; 21) Columba palumbus; 22) Streptopelia turtur; 23) Anas platyrhynchos; 24) Ixobrychus minutus.
Figure 5 in Mathematical interpretation of avian egg shapes
Figure 5. Obtuse symmetric pseudo-ovoid: 1, 9, 17) construction of ovoids in the shape matrix; 2, 10, 18) egg profile diagram and profiles: 3) Columba livia; 4) Anas platyrhynchos; 5) Egretta alba; 6) Ixobrychus minutus; 7) Columba palumbus; 8) Rhea americana; 11) Otis tarda; 12) Egretta alba; 13) Merops apiaster; 14) Aythya ferina; 15) Caprimulgus europaeus; 16) Anas quеrquedula; 19) Upupa epops; 20) Egretta alba; 21) Anser anser; 22) Egretta garzetta; 23) Ardea cinerea; 24) Ardea cinerea.
Figure 3 in Mathematical interpretation of avian egg shapes
Figure 3. Sphere-like symmetric pseudo-ovoid: 1) plotting of ovoids in the shape matrix; 2) a profile for comparison with real egg shapes; bird egg profiles: 3) Otus scops; 4) O. brucei; 5) Athene noctua; 6) Merops apiaster; 7) M. superciliosus; 8) Alcedo atthis.
Figure 2 in Mathematical interpretation of avian egg shapes
Figure 2. Variability of the polar zones curvature of symmetric pseudo-ovoids: а) short, b) normal, c) long.
Figure 1 in Mathematical interpretation of avian egg shapes
Figure 1. The formation of asymmetric and symmetric (а) pseudo-ovoids; b-с) schemes for measuring the semi-axes: (L – length, D – diameter, rc – cloacal and ri – infundibular radii, ip – interpolar segment, lc - cloacal and li - infundibular semi-axes)
Competition between predicting mathematical models and laboratory results for covid 19 after vaccination in Iran
<p>All of us like to find a way to end Covid 19. Specially, economy confronts with many problems. In attached JPG, i bring two predictions for covid 19 pandemic in Iran. Mathematical model predicts that after a fall in figure we will have a peak. However, right now, most of people in Iran used of vaccines. In addition, government forced on all to get vaccine. Even, students with 12 to 18 years old get vaccine. It has been heard that soonly, kids with ages between 3-12 years old will receive vaccine. As a man or woman, all of us like that this program will response and vaccines work. However, predictions of math show reverse result. Although, maybe, we should enter the factor of vaccine in mathematical model. It is good opportunity for scientists to examine response of covid 19 to program of vaccine for all. Even if we have a peak, however its height be smaller, we can say that vaccines act. Hope for ending Covid 19 in all countries.</p>
Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission: a mathematical modelling study
<p>Data and code for publication on <em>Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission: a mathematical modelling study</em></p>
Resources for the article "Investigating the role of educational robotics in formal mathematics education"
<p>This repository contains the material required to reproduce the study looking to investigate the role of educational robotics in formal mathematics education for 15 year old students in the French speaking region of Switzerland. This includes :</p> <ul> <li> <p>Pedagogical content in the form of both teacher and student resources</p> </li> <li> <p>Data collection ressources (surveys and tests)</p> </li> </ul> <p>If you use any of the resources provided in this repository, please cite the following</p> <p>• The Zenodo repository, DOI: 10.5281/zenodo.4649842</p> <p>• The corresponding article : Brender, J., El-Hamamsy, L., Bruno, B., Chessel-Lazzarotto, F., Zufferey, J.D., Mondada, F. (2021). Investigating the Role of Educational Robotics in Formal Mathematics Education: The Case of Geometry for 15-Year-Old Students. In: De Laet, T., Klemke, R., Alario-Hoyos, C., Hilliger, I., Ortega-Arranz, A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science(), vol 12884. Springer, Cham. https://doi.org/10.1007/978-3-030-86436-1_6</p> <p>• Licence : CC-BY</p>
Dataset 3 - Mathematical Modeling of Growth for Climbing Plants
<p>This dateset collects some models of climbing plants in the framework of the Task 3.4 of the Growbot project. In particular, it focuses on models describing the climbing plants' secondary growth, emphasizing such a behavior as an optimal way to allocate biomass and maximize climbing plants's reach.</p> <p>The models are described in the following preprints:</p> <table> <tbody> <tr> <td> <ol> <li><em>A 2D Model to describe the mechano-sensory behaviour of self-supporting shoots of climbing plants against gravity </em>(2023), G. Vecchiato; T. Hattermann; M. Palladino; P. Heuret; N. P. Rowe; P. Marcati, <strong>submitted preprint</strong></li> <li><em>Searcher-Shoot: a Reinforcement Learning approach to understand climbing plant behaviour</em> (2023), L. Nasti; G. Vecchiato; T. Hattermann; P. Heuret; N. P. Rowe; M. Palladino; P. Marcati, <strong>preprint</strong></li> <li><em>An optimal control approach to the problem of the longest self-supporting structure</em> (2023), G. Vecchiato; M. Palladino; P. Marcati, <strong>submitted preprint</strong></li> <li><em>Modeling intertwining of growing shoots</em> (2023), O. Giannopoulou; G. Vecchiato; M. Palladino; M. Thielen; T. Speck; P. Marcati, <strong>preprint</strong></li> </ol> </td> </tr> </tbody> </table>
A mathematical model to predict network growth in physarum polycephalum as a function of extracellular matrix viscosity, measured by a novel viscometer
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Data and Rscripts from: An integrated experimental and mathematical approach to inferring the role of food exploitation and interference interactions in shaping life history
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Data from: Temperature drives Zika virus transmission: evidence from empirical and mathematical models
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Data from: Exploiting nozzle geometry to predict resolution in extrusion-based bioprinting: mathematical modelling of a power-law fluid
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Data from: Digital twin mathematical models suggest individualized hemorrhagic shock resuscitation strategies
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Kinematic data and mathematical modeling of sea star locomotion
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Computer use and mathematics achievement in TIMSS
<p>This dataset contains country-level data on computer use and mathematics achievement of 8th grade students from TIMSS 2003, 2007 and 2011.</p>
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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.