8,228 research outputs found

    Taxonomic re-examination of the two camptandriid crab species Deiratonotus japonicus (Sakai, 1934) and D. tondensis Sakai, 1983, and genetic differentiation among their local populations

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    Kawane, Masako, Wada, Keiji, Kitaura, Jun, Watanabe, Katsutoshi (2005): Taxonomic re-examination of the two camptandriid crab species Deiratonotus japonicus (Sakai, 1934) and D. tondensis Sakai, 1983, and genetic differentiation among their local populations. Journal of Natural History 39 (45): 3903-3918, DOI: 10.1080/00222930500445085, URL: http://dx.doi.org/10.1080/0022293050044508

    Figure 1 in Taxonomic re-examination of the two camptandriid crab species Deiratonotus japonicus (Sakai, 1934) and D. tondensis Sakai, 1983, and genetic differentiation among their local populations

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    Figure 1. Sampling localities of Deiratonotus specimens. 1, Isuzu R., Shizuoka; 2, Yukashi Lagoon, Wakayama; 3, Ohta R., Wakayama; 4, Tsuni R., Wakayama; 5, Hiki R., Wakayama; 6, Hukuro R., Wakayama; 7, Tonda R., Wakayama; 8, Urauchi Bay, Kohchi; 9, Fukiage R., Kohchi; 10, Shimanto R., Kohchi; 11, Takahama R., Kumamoto; 12, Amikake R., Kagoshima; 13, Miyashi R., Kagoshima.Published as part of Kawane, Masako, Wada, Keiji, Kitaura, Jun & Watanabe, Katsutoshi, 2005, Taxonomic re-examination of the two camptandriid crab species Deiratonotus japonicus (Sakai, 1934) and D. tondensis Sakai, 1983, and genetic differentiation among their local populations, pp. 3903-3918 in Journal of Natural History 39 (45) on page 3905, DOI: 10.1080/00222930500445085, http://zenodo.org/record/522112

    Figure 4 in Taxonomic re-examination of the two camptandriid crab species Deiratonotus japonicus (Sakai, 1934) and D. tondensis Sakai, 1983, and genetic differentiation among their local populations

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    Figure 4. Parsimony network of mtDNA COI haplotypes from Deiratonotus specimens. Haplotypes correspond to Table III. Solid lines show branches coincided with those of ML tree. Bootstrap probabilities (.50%) of 1000 replications in ML analysis are shown on internodes. Oval size indicates the number of each haplotype. Large oval, n514; second, n58; third, n54; fourth, n52; small oval, n51. A haplotype of Deiratonotus cristatus from two localities was used as an outgroup.Published as part of Kawane, Masako, Wada, Keiji, Kitaura, Jun & Watanabe, Katsutoshi, 2005, Taxonomic re-examination of the two camptandriid crab species Deiratonotus japonicus (Sakai, 1934) and D. tondensis Sakai, 1983, and genetic differentiation among their local populations, pp. 3903-3918 in Journal of Natural History 39 (45) on page 3912, DOI: 10.1080/00222930500445085, http://zenodo.org/record/522112

    Proline-rich tyrosine kinase 2 mediates gonadotropin-releasing hormone signaling to a specific extracellularly regulated kinase-sensitive transcriptional locus in the luteinizing hormone beta-subunit gene

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    G protein-coupled receptor regulation of gene transcription primarily occurs through the phosphorylation of transcription factors by MAPKs. This requires transduction of an activating signal via scaffold proteins that can ultimately determine the outcome by binding signaling kinases and adapter proteins with effects on the target transcription factor and locus of activation. By investigating these mechanisms, we have elucidated how pituitary gonadotrope cells decode an input GnRH signal into coherent transcriptional output from the LH beta-subunit gene promoter. We show that GnRH activates c-Src and multiple members of the MAPK family, c-Jun NH2-terminal kinase 1/2, p38MAPK, and ERK1/2. Using dominant-negative point mutations and chemical inhibitors, we identified that calcium-dependent proline-rich tyrosine kinase 2 specifically acts as a scaffold for a focal adhesion/cytoskeleton-dependent complex comprised of c-Src, Grb2, and mSos that translocates an ERK-activating signal to the nucleus. The locus of action of ERK was specifically mapped to early growth response-1 (Egr-1) DNA binding sites within the LH beta-subunit gene proximal promoter, which was also activated by p38MAPK, but not c-Jun NH2-terminal kinase 1/2. Egr-1 was confirmed as the transcription factor target of ERK and p38MAPK by blockade of protein expression, transcriptional activity, and DNA binding. We have identified a novel GnRH-activated proline-rich tyrosine kinase 2-dependent ERK-mediated signal transduction pathway that specifically regulates Egr-1 activation of the LH beta-subunit proximal gene promoter, and thus provide insight into the molecular mechanisms required for differential regulation of gonadotropin gene expression

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    authorIn other places [Old Joe, the trapper] pointed out otter (or, as he pronounced it, "author") slidesPRINTED ITEM G.M.Story April 1959Not UsedNot UsedWithdrawn[see 'otter']Checked by Jordyn Hughes on Thu 09 Jun 201

    Testing approximate predictions of displacements of cosmological dark matter halos

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    We present a test to quantify how well some approximate methods, designed to reproduce the mildly non-linear evolution of perturbations, are able to reproduce the clustering of DM halos once the grouping of particles into halos is defined and kept fixed. The following methods have been considered: Lagrangian Perturbation Theory (LPT) up to third order, Truncated LPT, Augmented LPT, MUSCLE and COLA. The test runs as follows: halos are defined by applying a friends-of-friends (FoF) halo finder to the output of an N-body simulation. The approximate methods are then applied to the same initial conditions of the simulation, producing for all particles displacements from their starting position and velocities. The position and velocity of each halo are computed by averaging over the particles that belong to that halo, according to the FoF halo finder. This procedure allows us to perform a well-posed test of how clustering of the matter density and halo density fields are recovered, without asking to the approximate method an accurate reconstruction of halos. We have considered the results at z=0,0.5,1, and we have analysed power spectrum in real and redshift space, object-by-object difference in position and velocity, density Probability Distribution Function (PDF) and its moments, phase difference of Fourier modes. We find that higher LPT orders are generally able to better reproduce the clustering of halos, while little or no improvement is found for the matter density field when going to 2LPT and 3LPT. Augmentation provides some improvement when coupled with 2LPT, while its effect is limited when coupled with 3LPT. Little improvement is brought by MUSCLE with respect to Augmentation. The more expensive particle-mesh code COLA outperforms all LPT methods, and this is true even for mesh sizes as large as the inter-particle distance. This test sets an upper limit on the ability of these methods to reproduce the clustering of halos, for the cases when these objects are reconstructed at the object-by-object level

    Jia ru ju he wu dui jun yun tuan liu ji jun yun tuan liu dui liu de ying xiang

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    Wong, Chai Kwok = 加入聚合物對均勻湍流及均勻湍流對流的影響 / 黃濟國.Thesis M.Phil. Chinese University of Hong Kong 2013.Includes bibliographical references (leaves 89-91).Abstracts also in Chinese.Title from PDF title page (viewed on 01, November, 2016).Wong, Chai Kwok = Jia ru ju he wu dui jun yun tuan liu ji jun yun tuan liu dui liu de ying xiang / Huang Jiguo

    Author Correction: Manipulating anion intercalation enables a high-voltage aqueous dual ion battery

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    The original version of this Article did not acknowledge Prof. Jun Fan as a corresponding author. This has now been corrected in both the PDF and HTML versions of the Article.link_to_subscribed_fulltex

    Corrigendum: The taeniaticornis-group of genus Apanteles Foerster (Hymenoptera, Braconidae, Microgastrinae) from China with one new species. Journal of Hymenoptera Research 96: 21–31. doi: 10.3897/jhr.96.99649

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    In a paper about a new species of Apanteles (Microgastrinae)(Liu & Chen, 2023), we regret the omission of one author Jun-hua Chen in the second place of the author list who did great job in construction of the ZJUH collection for this study and the mistake in institution order and corresponding author. We provide the correct information below.Zhen Liu1, 2, Jun-hua He1, Xue-xin Chen11 Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China. 2 Zoology Key Laboratory of Hunan Higher Education, College of Life and Environmental Sciences, Hunan University of Arts and Science, Changde 415000, China
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