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757 results for “twins”
Figure 2 in The 'twins' and the 'bachelor', new potential synapomorphies inside the Cholevinae (Coleoptera: Leiodidae)
Figure 2. Mesotarsus, Cholevinae: Ptomaphagini - Adelopsis leo, articulation between tarsomeres I (below) and II (above). A, lateral-external view. B, ventral view. C, lateral-internal view. bs = 'bachelor seta'; tw = 'twin spines'; arrow = additional slender setae; stars = periapical spines of the apical crown of spines.
Figure 5 in The 'twins' and the 'bachelor', new potential synapomorphies inside the Cholevinae (Coleoptera: Leiodidae)
Figure 5. Mesotarsus, Cholevinae: Ptomaphagini. A, B, Ptomaphagus (Adelops) brevior. C, D, Ptomaphagus (s.s.) divaricatus, right leg, mirrored image. E, Ptomaphagus (Appadelopsis) cumberlandus. A, C, E, ventro-lateral-internal view. B, D, ventrolateral-external view. tI-tIV = first to fourth tarsomeres; bs = 'bachelor seta'; tw = 'twin spines'.
Figure 12. Data from Table 1 in The 'twins' and the 'bachelor', new potential synapomorphies inside the Cholevinae (Coleoptera: Leiodidae)
Figure 12. Data from Table 1 mapped on taxonomic diagrams of the subfamily Cholevinae. A, the 'traditional' division of the Cholevinae (based on Newton, 1998). B, phylogenetic analysis of the Cholevinae [based on Antunes-Carvalho et al. (2019: fig. 25) – in our figure we represent non-monophyletic taxa with a double line connection]. Taxa without an assigned symbol were not studied here. 'Anemadini' as a taxon is not represented in (B), because it was considered non-monophyletic in that study; however, its subtribes are represented. The black squares denote taxa where the features studied here were observed – 'T' denotes presence of 'twin spines' and 'B' denotes presence of a 'bachelor seta'; the open squares with a 'X' denote taxa where the features studied were not observed in the specimens analysed.
Cycladic Twin Figure_Chnari
Cycladic Twin Figure Source: Objaverse 1.0 / Sketchfab
Dataset for: Improving parent-austenite twinned grain reconstruction using electron backscatter diffraction in low carbon austenite
<p><strong>Improving parent-austenite twinned grain reconstruction using electron backscatter diffraction in low carbon austenite</strong></p> <p><strong> </strong>Ruth M. Birch<sup>1</sup>*, T. Ben Britton<sup>1</sup>, W. J. Poole<sup>1</sup></p> <p>1. Department of Materials Engineering, University of British Columbia, Frank Forward Building, 309-6350 Stores Road, Vancouver, BC, Canada V6T 1Z4</p> <p>*corresponding author: ruth.birch@ubc.ca</p> <p>---</p> <p><strong>Abstract: <br></strong></p> <p>Thermomechanical controlled processing (TMCP) is widely used to optimize the final properties of high strength low alloy (HSLA) steels, via microstructure engineering. The room temperature microstructures are influenced by the high temperature austenite phase, and the austenite microstructure <span>is commonly</span><span>can be</span> accessed by reconstruction using electron backscatter diffraction (EBSD) data of the final microstructure. A challenge for reconstruction of the <span>PAG </span><span>parent austenite grain (PAG) </span>microstructure and subsequent austenite grain size measurement is the presence of austenite-phase annealing twins, and we address<span> this</span> challenge with a new <span>‘</span>re-sort<span>’</span> algorithm. Our algorithm has been validated using the retained austenite regions (which were recovered via advanced pattern matching of EBSD patterns). We demonstrate that the re-sort algorithm improves the PAG reconstruction significantly, especially for the grain boundary network and correlation with other methods of grain size assessment and development of TMCP steels.</p> <p>---</p> <p><strong>Dataset includes:</strong></p> <ul> <li>Higher quality figures</li> <li>EBSD dataset with/without pattern matching:<br> <ul> <li>1mm map Specimen 1 Site 1 Map Data 1-Subset 1.h5oina</li> <li>1mm map Specimen 1 Site 1 Map Data 1-Subset 1-PatternMatching.h5oina</li> </ul> </li> <li>Code bundle</li> </ul>
Repository for "Direct simulation and machine learning structure identification unravel soft martensitic transformation and twinning dynamics"
<p>These files contain data and generation codes for figures, a numerical code for the analysis of structure factors, and a numerical code for the simulation, in an article "Direct simulation and machine learning structure identification unravel soft martensitic transformation and twinning dynamics".</p>
Digital Twin based Control of a Mobile Knuckle Boom Crane, Video 4
<p>Supportive Material for the Publication: Digital Twin based Control of a Mobile Knuckle Boom Crane. Video shows obstacle avoidance in simulation and on real-system.</p>
Digital Twin based Control of a Mobile Knuckle Boom Crane, Video 2
<p>Supportive Material for the Publication: Digital Twin based Control of a Mobile Knuckle Boom Crane. Video shows moving the joints individual without collision detection.</p>
Digital Twin based Control of a Mobile Knuckle Boom Crane, Video 1
<p>Supportive Material for the Publication: Digital Twin based Control of a Mobile Knuckle Boom Crane. Video shows the simple PTP-motion of the crane without planner.</p>
Digital Twin based Control of a Mobile Knuckle Boom Crane, Video 3
<p>Supportive Material for the Publication: Digital Twin based Control of a Mobile Knuckle Boom Crane. Video shows the collision detection of DT-Software in simulation.</p>
Evaluating the potential of Digital Twin technology on pharmaceutical manufacturing efficiency in Ireland: An in-depth analysis of Machinery Validation
<p>The dissertation titled <strong>"Evaluating the Potential of Digital Twin Technology on Pharmaceutical Manufacturing Efficiency in Ireland: An In-depth Analysis of Machinery Validation"</strong> explores the transformative impact of Digital Twin (DT) technology within Ireland's pharmaceutical manufacturing sector. Conducted by MSc candidate Gayathri Gopakumar at Griffith College Dublin, the research focuses on how DT technology can enhance machinery validation processes, thereby improving operational efficiency and ensuring regulatory compliance.</p> <p>Employing a qualitative research methodology, the study includes semi-structured interviews with industry experts to gather insights into the current awareness, perceived benefits, and challenges associated with DT adoption in the pharmaceutical industry. The research aims to provide a comprehensive understanding of DT technology's role in machinery validation and its broader implications for manufacturing efficiency.</p> <p>This work contributes to the existing body of knowledge by offering a detailed analysis of DT technology's potential applications in pharmaceutical manufacturing, with a specific focus on the Irish context. It serves as a valuable resource for professionals and researchers interested in the integration of advanced digital technologies in the pharmaceutical sector.</p>
Non-local modelling of twinning in polycrystalline AZ31
<p>Figure data used for the paper "A non-local model for the description of twinning in polycrystalline materials in the context of infinitesimal strains: application to a magnesium alloy" (10.46298/jtcam.7562). Specifically, the following data is included :</p> <p>Figure 3a : fig_behavior_compression_modified_model.txt (X, Y for solid curve) + fig_behavior_compression_modified_exp.txt (X, Y for experimental points)<br> Figure 3b : fig_activity_compression_modified.txt (X, Y Bas, Y Pri, Y Pyr et Y TTw for solid curves). Dots: first point of the curve.<br> Figure 5a : fig_schmid_onset.txt (X Local, X Global, Y)<br> Figure 5b : fig_schmid_end.txt (X Local, X Global, Y)<br> Figure 6 : fig_path_equivalentstress.txt (X, Y Equivalent stress) + fig_path_twinvolumefraction.txt (X, Y Twin volume fraction)<br> Figure 7a : fig_post3_sig.txt (X, Y, size)<br> Figure 7b : fig_post10_sig.txt (X, Y, size)<br> Figure 8a : fig_post3_tau.txt (X, Y, size)<br> Figure 8b : fig_post10_tau.txt (X, Y, size)<br> Figure 9a : fig_behavior_compressiontension_model.txt (X, Y for solid curve) + fig_behavior_compressiontension_exp.txt (X, Y for experimental points)<br> Figure 9b : fig_activity_compressiontension_modified.txt (X, Y Bas, Y Pri, Y Pyr et Y TTw for solid curves). Dots: first point of the curve.<br> Figure 10a : fig_basal0_modified_parent.txt (X, Y, size for parent grains)<br> Figure 10b : fig_basal5_modified_parent.txt (X, Y, size for parent grains) + fig_basal5_modified_child.txt (X, Y, size size for child grains)<br> Figure 10c : fig_basal13_modified_parent.txt (X, Y, size for parent grains) et fig_basal13_modified_child.txt (X, Y, size for child grains)<br> Figure 11a : fig_behavior_convergence_64.txt (X, Y for curve 64^3) + fig_behavior_convergence_96.txt (X, Y for curve 96^3) + fig_behavior_convergence_128.txt (X, Y for curve 128^3) + fig_behavior_convergence_192.txt (X, Y for curve 192^3)<br> Figure 11b : fig_local_convergence_128.txt (X, Y, size for points 128^3) + fig_local_convergence_192.txt (X, Y, size for points 192^3)</p> <p> </p> <p> </p>
A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins
<p><strong>A Systematic Cross-Domain Mapping Study on the Software Engineering of Digital Twins</strong></p> <p>Manuela Dalibor, Nico Jansen, Bernhard Rumpe, David Schmalzing, Louis Wachtmeister, Manuel Wimmer, and Andreas Wortmann</p> <p>Digital Twins are currently investigated as the technological backbone for providing an enhanced understanding and management of existing systems as well as for designing new systems in various domains, e.g., ranging from single manufacturing components such as sensors to large-scale systems such as smart cities. Given the diverse application domains of Digital Twins, it is not surprising that the characterization of the term Digital Twin, as well as the needs for developing and operating Digital Twins are multi-faceted. Providing a better understanding what the commonalities and differences of Digital Twins in different contexts are, may allow to build reusable support for developing, running, and managing Digital Twins by providing dedicated concepts, techniques, and tool support. In this paper, we aim to uncover the nature of Digital Twins based on a systematic mapping study which is not limited to a particular application domain or technological space. We systematically retrieved a set of 1471 unique publications of which 529 were identified as potentially relevant and of which finally 356 were selected for further investigation. In particular, we analyzed the types of research and contributions made for Digital Twins, the expected properties Digital Twins have to fulfill, how Digital Twins are realized and operated, as well as how Digital Twins are finally evaluated. Based on this analysis, we also contribute a novel feature model for Digital Twins as well as several observations to further guide future software engineering research in this area.</p>
Weighted Model Counting with Twin-Width: Experimental Results
<p>The results of our paper "Weighted Model Counting with Twin-Width" published at SAT 2022</p>
FIGURE 2 in Begonia amparoi (Begoniaceae, section Baryandra) a new species from Linungaw Twin Islands, Surigao del Sur, Mindanao, Philippines
FIGURE 2. Begonia amparoi Blasco, Alejandro, Tandang & Rubite. A, Habit; B, Staminate flower front view; C, Staminate flower side view; D, Stamens; E, Pistillate flower bud; F, Young fruit with style and stigma; G, Young fruits; H, Cross section of the ovary. (Illustration by Danilo N. Tandang, based on the type collection).
FIGURE 1 in Begonia amparoi (Begoniaceae, section Baryandra) a new species from Linungaw Twin Islands, Surigao del Sur, Mindanao, Philippines
FIGURE 1. Begonia amparoi Blasco, Alejandro, Tandang & Rubite. A, Rhizome; B, Habit; C, Habitat; D, Leaf abaxial view; E, Leaf margin; F, Inflorescence; G, Staminate flower side view; H, Staminate flower front view; I, Young fruits (Photos of the type collection).
FIGURES – 0. Cocconeis sp. (cf. capensis (Cholnoky) Witkowski). SEM (New Caledonia, Melanesia). External views. Biseriate SV striae (16, 18, twin arrows), narrow and straight SV sternum, marginal large area with one row of beads (16–18), SV marginal area with tiny pores (17), SV crater-like areolae with oblong in a zigzag lumen (19), SV areolae with sort of expansions (20). Scale bars: 4 µm (16), 3 µm (18), 700 nm (17), 400 nm (19–20). in Marine Achnanthales (Bacillariophyceae) from New Caledonia (Melanesia): assemblage specificities, ultramafic environment
FIGURES – 0. Cocconeis sp. (cf. capensis (Cholnoky) Witkowski). SEM (New Caledonia, Melanesia). External views. Biseriate SV striae (16, 18, twin arrows), narrow and straight SV sternum, marginal large area with one row of beads (16–18), SV marginal area with tiny pores (17), SV crater-like areolae with oblong in a zigzag lumen (19), SV areolae with sort of expansions (20). Scale bars: 4 µm (16), 3 µm (18), 700 nm (17), 400 nm (19–20).
Subspecies and Distribution. N.e.eugeniiDesmarest,1817—KangarooI,SouthAustralia. N. e. derbianus Gray, 1837 — SW Western Australia, including East and West WallabiIs (Houtman Abrolhos Archipelago), Garden I (off S Perth), and Middle I and North Twin Peak I (Recherche Archipelago). in Macropodidae
Subspecies and Distribution. N.e.eugeniiDesmarest,1817—KangarooI,SouthAustralia. N. e. derbianus Gray, 1837 — SW Western Australia, including East and West WallabiIs (Houtman Abrolhos Archipelago), Garden I (off S Perth), and Middle I and North Twin Peak I (Recherche Archipelago).
FIGURE. Scanning electron micrographs of the disc ovaries/cypselae in Callilepis taxa with imbricate involucral bracts.A. Disc cypsela of C. caerulea showing glabrous surface and twin hairy ciliate margins and B. higher magnification showing the twin hairs along the margin in C. caerulea (Hemm 404, PRE). C. Disc ovary of C. corymbosa showing glabrous surface and twin hairy ciliate margins and D. higher magnification showing the twin hairs along the margin in C. corymbosa (Koekemoer 2596, PRE). in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa
FIGURE. Scanning electron micrographs of the disc ovaries/cypselae in Callilepis taxa with imbricate involucral bracts.A. Disc cypsela of C. caerulea showing glabrous surface and twin hairy ciliate margins and B. higher magnification showing the twin hairs along the margin in C. caerulea (Hemm 404, PRE). C. Disc ovary of C. corymbosa showing glabrous surface and twin hairy ciliate margins and D. higher magnification showing the twin hairs along the margin in C. corymbosa (Koekemoer 2596, PRE).
FIGURE. Disc ovary in a taxon of Callilepis with imbricate involucral bracts. A. Digital image of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the entire surface twin hairy. B. Scanning electron micrograph of the surface of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the twin hairs on the surface. in A taxonomic revision of the genus Callilepis (Asteraceae) in South Africa
FIGURE. Disc ovary in a taxon of Callilepis with imbricate involucral bracts. A. Digital image of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the entire surface twin hairy. B. Scanning electron micrograph of the surface of the disc ovary of C. normae (Koekemoer 4573, PRE) showing the twin hairs on the surface.
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Allen Brain Atlas
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International Brain Laboratory public data
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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.