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FIGS. 93–98. Scopaeus. 93–94. S in Generic Revisions Of The Scopaeina And The Sphaeronina (Coleoptera: Staphylinidae: Paederinae: Lathrobiini)
FIGS. 93–98. Scopaeus. 93–94. S. debilis sp. grp., (S. filiformis). 93. Mesoventrite and anterior metaventrite. 94. Metaventrite, midapex, metakatepisternal processes. 95–98. S. dissimilis sp. grp., (S. sp.). 95. Metaventrite, right file. 96. Mesoventrite and anterior metaventrite. 97. Metaventrite, posterior, metakatepisternal processes. 98. Prothorax, ventral.
Figures 25–28 in Andanus tambopixunensis sp. nov., a new species of the remarkable leafhopper genus Andanus (Hemiptera: Cicadellidae: Deltocephalinae), generic redescription and two new synonyms with new placements
Figures 25–28. Female of Andanus raunoi comb. nov.: (25) sternite VII, ventral view; (26) first valvula, lateral view; (27) sculpturing of first valvula, lateral view; (28) second valvula, lateral view.
Figures 17–24 in Andanus tambopixunensis sp. nov., a new species of the remarkable leafhopper genus Andanus (Hemiptera: Cicadellidae: Deltocephalinae), generic redescription and two new synonyms with new placements
Figures 17–24. Male of Andanus raunoi comb. nov.: (17) habitus, dorsal view; (18) habitus, lateral view; (19) face, anterior view; (20) pygofer and segment X, dorsal view; (21) pygofer, lateral view; (22) subgenital plate and valve, ventral view; (23) aedeagus, connective, and style, ventral view; (24) aedeagus and connective, lateral view.
Figures 9–16 in Andanus tambopixunensis sp. nov., a new species of the remarkable leafhopper genus Andanus (Hemiptera: Cicadellidae: Deltocephalinae), generic redescription and two new synonyms with new placements
Figures 9–16. Male of Andanus bimaculatus: (9) habitus, dorsal view; (10) habitus, lateral view; (11) face, anterior view; (13) pygofer, lateral view; (13) apodemes of sternite I, ventral view; (14) subgenital plates, valve, and styles, ventral view; (15) aedeagus and connective, lateral view; (16) apex of aedeagus, caudal view.
Figures 29–36 in Andanus tambopixunensis sp. nov., a new species of the remarkable leafhopper genus Andanus (Hemiptera: Cicadellidae: Deltocephalinae), generic redescription and two new synonyms with new placements
Figures 29–36. Male of Andanus sordidus comb. nov.: (29) habitus, dorsal view; (30) habitus, lateral view; (31) Face, anterior view; (32) pygofer and segment X, dorsal view; (33) pygofer, lateral view; (34) subgenital plates and valve, ventral view; (35) aedeagus, connective, and styles, ventral view; (36) aedeagus and connective, lateral view.
Figures 1–8 in Andanus tambopixunensis sp. nov., a new species of the remarkable leafhopper genus Andanus (Hemiptera: Cicadellidae: Deltocephalinae), generic redescription and two new synonyms with new placements
Figures 1–8. Holotype of Andanus tambopixunensis sp. nov.: (1) Habitus, dorsal view; (2) habitus, lateral view; (3) Face, anterior view; (4) pygofer, lateral view; (5) subgenital plate and style, dorsal view; (6) style, ventral view; (7) aedeagus and connective, lateral view; (8) aedeagus and connective, ventral view.
Extending a generic and fast coarse-grained molecular dynamics model to examine the mechanical behavior of grafted polymer nanocomposites: data set
<p>Abstract:<br> from [1]</p> <blockquote> <p>Polymer nanocomposites are an important class of materials for engineering applications due to their high versatility and good mechanical properties combined with low density. By directly attaching the polymer chains to the nanofillers, the so-called grafting, a better load transfer between matrix and filler is achieved, and, in addition, a better dispersion of the fillers is obtained. Both result in enhanced mechanical properties. Since experimental investigations on the nanoscale are extremely challenging, complementary numerical studies are needed to unravel the mechanical behavior of polymer nanocomposites. To this end, molecular dynamics is ideally suited since it captures the microstructure, but is also numerically expensive. Therefore, this contribution presents a fast coarse-grained molecular dynamics model for the investigation of the mechanical behavior of grafted polymer nanocomposites. For this purpose, we extend an existing model by grafting bonds, which allows us to compare the effect of untreated and grafted fillers directly. In particular, we investigate the influence of filler content, grafting degree, and filler size on the stiffness and strength of the polymer (grafted) nanocomposites. We conclude that the grafting bonds have little effect on the stiffness, while the strength is significantly improved compared to the untreated fillers, which is in agreement with the literature. The presented molecular dynamics model for polymer grafted nanocomposites provides the basis for further investigations, particularly of the crucial matrix-filler interphase. In addition, this contribution translates molecular dynamics insights into mechanical properties, which bridges the gap to the engineering scale and thus represents a step towards exploiting the full potential of polymer (grafted) nanocomposites.</p> </blockquote> <p> </p> <p><strong>Contact:</strong></p> <p>Maximilian Ries<br> Institute of Applied Mechanics<br> Friedrich-Alexander-Universität Erlangen-Nürnberg<br> Egerlandstr. 5<br> 91058 Erlangen</p> <p><strong>Software:</strong></p> <p>All MD simulations were performed with LAMMPS [2,3], version: 29 Oct 2020 / 20201029</p> <p>Compiled with<br> Compiler: GNU C++ 4.8.5 20150623 (Red Hat 4.8.5-39) with OpenMP not enabled<br> C++ standard: C++11</p> <p>Active compile time flags:<br> -DLAMMPS_GZIP<br> -DLAMMPS_SMALLBIG</p> <p>Installed packages:<br> CLASS2, KSPACE, MANYBODY, MC, MOLECULE, MPIIO, OPT, VORONOI, USER-INTEL, USER-MISC, USER-MOLFILE, USER-NETCD</p> <p>Polymer and polymer composite samples generated with self-avoiding random-walk algorithm [4]</p> <p>Post-processing Matlab R2019b</p> <p><strong>License:</strong></p> <p>Creative Commons Attribution 4.0 International</p> <p><strong>Context:</strong></p> <p>Data set supplementing journal paper:</p> <p>[1] M. Ries, S. Reber, P. Steinmann, & S. Pfaller, “Extending a generic and fast coarse-grained molecular dynamics model to examine the mechanical behavior of grafted polymer nanocomposites,” <em>Forces in Mechanics</em>, vol. 12, p. 100 207, <strong>2023</strong>.</p> <p><strong>Content:</strong></p> <p>structure of data set:</p> <ul> <li>04_Equilibration<br> folders containing the sample equilibration used in the presented parameter study <ul> <li>01_filler_content<br> variation of filler content</li> <li>02_grafting_density<br> variation of grafting density</li> <li>03_grafting_potential<br> variation of grafting potential</li> <li>04_filler_size<br> variation of filler size</li> <li>05_reference<br> reference samples without grafting</li> </ul> </li> <li>05_UT<br> folders containing the uniaxial tension simulations used in the presented parameter study <ul> <li>01_filler_content<br> variation of filler content</li> <li>02_grafting_density<br> variation of grafting density</li> <li>03_grafting_potential<br> variation of grafting potential</li> <li>04_filler_size<br> variation of filler size</li> <li>05_reference<br> reference samples without grafting</li> </ul> </li> </ul> <p>Each simulation directory contains:</p> <ul> <li> <p>lammps input file (*.in) of the specific simulation</p> </li> <li> <p>data file (*.data) containing the initial sample configuration</p> </li> <li> <p>input.prm: input parameters of the specific simulation (read by the input file)</p> </li> <li> <p>meta.info: meta data of the specific simulation run</p> </li> <li> <p>LAMMPS_out:<br> simulation results (lammps thermo_out) in tabulated form, an overview of columns is given below</p> <ul> <li> <p>thermo_out.Dat: raw output </p> </li> <li> <p>thermo_out_SG.Dat: smoothed output (Savitzky-Golay filter)</p> </li> <li> <p>thermo_out_STD.Dat: standard deviation of raw output</p> </li> </ul> </li> </ul> <p>Output quantities (columns of *.Dat files):<br> Please note that the normalized Lennard-Jones unit set is used, so all quantities are normalized to fundamental mass, length, energy, time and the Boltzmann constant. Thus all entries are unitless [1].</p> <ul> <li> <p>Step: time step </p> </li> <li> <p>Time: time </p> </li> <li> <p>TotEng: total energy </p> </li> <li> <p>PotEng: potential energy</p> </li> <li> <p>KinEng: kinetic energy </p> </li> <li> <p>E_pair: pair energy </p> </li> <li> <p>E_bond: bond energy </p> </li> <li> <p>E_angle: angle energy </p> </li> <li> <p>E_dihed: dihedral energy </p> </li> <li> <p>Temp: temperature</p> </li> <li> <p>Press: hydrostatic pressure</p> </li> <li> <p>Pxx: xx component of pressure tensor </p> </li> <li> <p>Pyy: yy component of pressure tensor </p> </li> <li> <p>Pzz: zz component of pressure tensor </p> </li> <li> <p>Pxy: xy component of pressure tensor</p> </li> <li> <p>Pxz: xz component of pressure tensor</p> </li> <li> <p>Pyz: yz component of pressure tensor</p> </li> <li> <p>Volume: volume of simulation box </p> </li> <li> <p>Lx: box length in x direction </p> </li> <li> <p>Ly: box length in y direction </p> </li> <li> <p>Lz: box length in z direction </p> </li> <li> <p>Density: density </p> </li> <li> <p>c_RG: radius of gyration scalar </p> </li> <li> <p>c_RG[1]: squared radius of gyration tensor (xx component) </p> </li> <li> <p>c_RG[2]: squared radius of gyration tensor (yy component) </p> </li> <li> <p>c_RG[3]: squared radius of gyration tensor (zz component) </p> </li> <li> <p>c_RG[4]: squared radius of gyration tensor (xy component) </p> </li> <li> <p>c_RG[5]: squared radius of gyration tensor (xz component) </p> </li> <li> <p>c_RG[6]: squared radius of gyration tensor (yz component) </p> </li> <li> <p>c_bondave[1]: bond energy averaged over all atoms </p> </li> <li> <p>c_bondave[2]: bond distance averaged over all atoms </p> </li> <li> <p>c_bondave[3]: squared bond distance averaged over all atoms </p> </li> <li> <p>c_angleave[1]: angle energy averaged over all atoms </p> </li> <li> <p>c_angleave[2]: angle averaged over all atoms degree</p> </li> <li> <p>c_angleave[3]: cosine of angle </p> </li> <li> <p>c_angleave[4]: squared cosine of angle </p> </li> <li> <p>c_MSD[1]: mean squared displacement x-direction </p> </li> <li> <p>c_MSD[2]: mean squared displacement y-direction </p> </li> <li> <p>c_MSD[3]: mean squared displacement z-direction </p> </li> <li> <p>c_MSD[4]: total mean squared displacement </p> </li> <li> <p>c_COM[1]: x coordinate of center of mass </p> </li> <li> <p>c_COM[2]: y coordinate of center of mass </p> </li> <li> <p>c_COM[3]: z coordinate of center of mass </p> </li> <li> <p>v_strain_xx: xx component of engineering strain tensor </p> </li> <li> <p>v_strain_yy: yy component of engineering strain tensor </p> </li> <li> <p>v_strain_zz: zz component of engineering strain tensor </p> </li> <li> <p>v_vMisesequivstress: von Mises equivalent stress </p> </li> <li> <p>v_Cauchy_xx: xx component of stress tensor </p> </li> <li> <p>v_Cauchy_yy: yy component of stress tensor</p> </li> <li> <p>v_Cauchy_zz: zz component of stress tensor</p> </li> <li> <p>v_Cauchy_xy: xy component of stress tensor </p> </li> <li> <p>v_Cauchy_xz: xz component of stress tensor </p> </li> <li> <p>v_Cauchy_yz: yz component of stress tensor </p> </li> <li> <p>v_strain_xy: xy component of engineering strain tensor </p> </li> <li> <p>v_strain_xz: xz component of engineering strain tensor </p> </li> <li> <p>v_strain_yz: yz component of engineering strain tensor </p> </li> </ul> <p><strong>References</strong>:</p> <p>[1] M. Ries et al., “Extending a generic and fast coarse-grained molecular dynamics model to examine the mechanical behavior of grafted polymer nanocomposites,” <em>Forces in Mechanics</em>, vol. 12, p. 100 207, <strong>2023</strong>.</p> <p>[2] S. Plimpton, “Fast parallel algorithms for short-range molecular dynamics,” <em>Journal of computational physics</em>, <strong>1995</strong>, 117, 1-19.</p> <p>[3] A. P. Thompson et al., “LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales,” <em>Computer Physics Communications</em>, vol. 271, p. 108171, <strong>2022</strong>.</p> <p>[4] M. Ries, V. Dötschel, J. Seibert, S. Pfaller. “A self-avoiding random walk algorithm (SARW) for generic thermoplastic polymers and nanocomposites”, <em>Zenodo</em>, 2022. <a href="https://doi.org/10.5281/zenodo.6245699">https://doi.org/10.5281/zenodo.6245699</a></p>
Do Generic Volar Locking Plates Provide Similar Outcomes at a Reduced Cost?
ClinicalTrials.gov study NCT06343467. IPD Sharing: NO. Countries: 1. Publications: 7.
Generic injuries are sufficient to induce ectopic Wnt organizers in Hydra
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An updated generic classification of Cenozoic pleurotomariid gastropods, with new records from the Oligocene and Early Miocene of India
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Mesophotic coral ecosystems of French Polynesia are hotspots of alpha and beta generic diversity for scleractinian assemblages
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Fig. 5 in Generic status of Winitia (Annonaceae, Miliuseae) reaffirmed by molecular phylogenetic analysis, including a new species and a new combination from Thailand
Fig. 5. Holotype of Winitia thailandana Chaowasku & Aongyong sp. nov. at CMUB.
Repeated parallel losses of inflexed stamens in Moraceae: phylogenomics and generic revision of the tribe Moreae and the reinstatement of the tribe Olmedieae (Moraceae)
<p><span><span><span><span><span><span><span><span><span><span><span>We present a densely-sampled phylogenomic study of the mulberry tribe (Moreae, Moraceae), an economically important clade with a global distribution, revealing multiple losses of inflexed stamens, a character traditionally used to circumscribe Moreae. Inflexed stamens facilitate ballistic pollen release and are associated with wind pollination, and the results presented here suggest that losses of this character state may have evolved repeatedly in Moraceae. Neither Moreae nor several of its major genera (<i>Morus</i>, <i>Streblus</i>, <i>Trophis</i>) were found to be monophyletic. A revised system for a monophyletic Moreae is presented, including the reinstatement of the genera <i>Ampalis, Maillardia, Taxotrophis, </i>and <i>Paratrophis</i>, and the recognition of the new genus <i>Afromorus</i>. <i>Pseudostreblus </i>is reinstated and transferred to the Parartocarpeae, and <i>Sloetiopsis </i>is reinstated and transferred to the Dorstenieae. The tribe Olmediae is reinstated, replacing the Castilleae, owing to the reinstatement of the type genus <i>Olmedia, </i>and its exclusion from Moreae. <i>Streblus </i>s.s. is excluded from Moreae and transferred to the Olmediae, which is characterized primarily by involucrate inflorescences without regard to stamen position. Eight new combinations are made.</span></span></span></span></span></span></span></span></span></span></span></p>
Figures 20-22 in A generic key to the known larval Elmidae (Insecta: Coleoptera) of French Guiana
Figures 20-22. Larval habitus (dorsal, lateral, ventral). (20) Hintonelmis Spangler; (21) Larva Y; (22) Larva X. Scale bars = 1 mm.
Figures 7-13 in A generic key to the known larval Elmidae (Insecta: Coleoptera) of French Guiana
Figures 7-13. Larval habitus. (7) Larva Z, dorsal, lateral, ventral; (8) Stenhelmoides Grouvelle, dorsal, lateral, ventral; (9) Stenhelmoides Grouvelle, head and thorax, dorsal; (10) Potamophilops Grouvelle, dorsal, ventral; (11) Elachistelmis Maier, dorsal, lateral; (12) Xenelmis Hinton, dorsal, lateral, ventral; (13) Stegoelmis Hinton, dorsal, lateral, ventral. Scale bars = 1 mm.
Figures 14-19 in A generic key to the known larval Elmidae (Insecta: Coleoptera) of French Guiana
Figures 14-19. Larval habitus (dorsal, lateral, ventral). (14) Gyrelmis Hinton; (15) Hexacylloepus Hinton; (16) Neoelmis Musgrave; (17) Heterelmis Sharp; (18) Microcylloepus Hinton; (19) Macrelmis Motschulsky. Scale bars = 1 mm.
Figures 1-6 in A generic key to the known larval Elmidae (Insecta: Coleoptera) of French Guiana
Figures 1-6. Larval habitus (dorsal, lateral, ventral). (1) Phanocerus Sharp; (2) Cylloepus Erichson; (3) Larva V; (4) Austrolimnius Carter & Zeck; (5) Neolimnius Hinton; (6) Larva W. Scale bars = 1 mm.
Figure 1 in On the identity of Lepidodexia (Orosarcophaga) ornata (Townsend, 1927) (Diptera: Sarcophagidae) and a new generic synonym
Figure 1. Orosarcophaga ornata lectotype. (A) Habitus (Scale bar: 1 cm). (B) Dorsal view. (C) Label.
Figure 2 in On the identity of Lepidodexia (Orosarcophaga) ornata (Townsend, 1927) (Diptera: Sarcophagidae) and a new generic synonym
Figure 2. Orosarcophaga ornata postabdomen. (A) Male postabdomen in profile. (B) Fifth sternite; arrow indicates a cushion-like protuberance. (C) Phallic complex in profile (lectotype). (D) Phallus in ventral view (lectotype); arrow indicates an elongated process on the medial stylus. Scale bar: 1 mm. Abbreviations: ap pg, postgonal apodeme; bas, basiphallus; cer, cercus; ep, epandrium; hyp, hypandrium; ju, juxta; phal, phalapodeme; pog, postgonite; preg, pregonite; S 7 + 8, syntegosternite 7 + 8; st l, lateral stylus; st m, medial stylus; sur, surstylus; ves, vesica.
Fig. 15 in Pupal Descriptions of Some Cleptoparasitic Bees (Apidae), with a Preliminary Generic Key to Pupae of Cleptoparasitic Bees (Apoidea)
Fig. 15. Pupa of Isepeolus viperinus, entire body, lateral view with tubercles of vertex enlarged.
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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.