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Our goal was to analyze the outcome of infection and response to benznidazole (BZ) treatment in mice intragastrically inoculated with trypomastigotes forms of Trypanosoma cruzi from different origins.<br />Twenty-fourSwiss mice were divided in two groups and inoculated, by gavage, with1 × 10<br />blood trypomastigotes (BT) or insect-derived metacyclic trypomastigotes (IT) of AM14 strain (T. cruzi IV). Half of the animals of each group were treated with BZ (TBZ), from 10 to 30th days after the inoculation, and the other constituted the untreated control groups (NT). After the etiological treatment, all mice were immunosuppressed with cyclophosphamide forthree weeks. Parasitological and molecular parameters, infectivity, cumulative mortality, and reactivation post-immunosuppression rates were obtained.<br />Animals inoculated with BT showed lower pre-patent period and early day of the maximum parasitemia, as well as a higher maximum peak of parasitemia than the IT animals. However, both, BT and IT animals, did not respond to BZ treatment (0.0% of cure).<br />We conclude that the infective form influences in the outcome of infection, but not the response to the etiological treatment in mice intragastrically infected with the T. cruzi IV strain studied.<br />We conclude that the infective form influences in the outcome of infection, but not the response to the etiological treatment in mice intragastrically infected with the T. cruzi IV strain studied.Coronary artery disease (CAD) is the major cause of human death worldwide. The development of new CAD early diagnosis methods based on medical big data has a great potential to reduce the risk of CAD death. In this process, neural network (NN), as a powerful tool for electronic medical record (EMR) processing, enables extract structured data accurately to unlock medical information and to further improve CAD diagnosis. However, the excessive time and labor caused by dataset's annotation is the main limitation of its application, especially on the CAD records situation with large natural language text and biomedical professional content. In this study, we present an annotation cost saving NN approach for CAD records, which is bootstrapped by deep language model with contextual embedding pre-trained on large unannotated CAD corpus. To demonstrate the feasibility and to further evaluate the performance of our approach, we performed pre-training experiment and term classification experiment, by using the unannotated and annotated CAD records, respectively. The results showed that our contextual embedding bootstrapped NN for CAD records has better performance under the condition of annotations reduction.Previous research has identified alliteration as a powerful device for investigating implicit memory effects. For example, alliterative phrases can provide retrieval cues that extend to a sublexical level and reactivate previous information that shares alliterative content (Lea et al., Psychological Science, 19[7], 709-716, 2008). But it is an open question if other surface forms might provide similar effects in line with these empirical findings, and in accord with writer intuitions. The present study examined whether rhyme produces analogous memory-reactivation effects, given the ubiquity of its use and endorsement of its power in a range of materials and experiences. We also examined whether the surface benefits attributed to rhyme might support anticipatory processes such as those traditionally examined with semantic content. In Experiment 1, participants exhibited faster recognition responses to previous poetic content as a function of rhyming cues. In Experiment 2, we recruited participants identified as experts on the study and use of rhyme, replicating the probe facilitations obtained in Experiment 1, but also revealing anticipations of imminent rhymes. The results are discussed in terms of implications for theories of memory-based text processing and of nonsemantic anticipatory processes during the reading of poetry, and perhaps for discourse experiences more generally.Re-examination of the holotype of Dermacentor atrosignatus Neumann, 1906 (Acari Ixodidae) stored in the Natural History Museum (London, UK) revealed that this taxon is identical with D. auratus Supino, 1897 and should be treated as a junior synonym of the latter species. A correct name for the distinct species previously identified as D. atrosignatus Neumann, 1906 sensu Wassef &amp; Hoogstraal, 1984 should be D. tricuspis (Schulze, 1933) n. comb., n. stat. Adults of D. tricuspis are redescribed here. Re-examination of extensive holdings of Oriental Dermacentor Koch, 1844 ticks stored in the United States National Tick Collection revealed that a morphologically distinct new species of this genus, namely D. falsosteini D. Apanaskevich, M. Apanaskevich &amp; Nooma n. [https://www.selleckchem.com/products/ad-5584.html AD-5584 cost] sp. should be recognized. Adults of D. tricuspis and D. falsosteini n. sp. can be distinguished from other species of Oriental Dermacentor and each other by the colour pattern of the conscutum and scutum, the pattern of punctations on the pseudoscutum and scutum, the shape of female genital structures and spurs on coxa I. Dermacentor tricuspis is recorded from Indonesia, Malaysia, the Philippines and Thailand where the adults were mostly collected from various species of wild pigs (Artiodactyla Suidae) and vegetation; few adults were available from other mammals (Artiodactyla Bovidae; Carnivora Canidae, Felidae, Ursidae; Pholidota Manidae), as well as humans and reptiles (Squamata Elapidae, Varanidae). One male was reared from a nymph collected on a rodent (Rodentia Muridae). Dermacentor falsosteini n. sp. is found in Indonesia, Malaysia and Thailand where the adults were collected from bearded pig, Sus barbatus Müller, wild boar, S. scrofa Linnaeus, unidentified wild pig, Sus sp. (Artiodactyla Suidae), Malayan tapir, Tapirus indicus Desmarest (Perissodactyla Tapiridae), human and vegetation.The present study focused on the structural, morphological, optical and fluorescence properties of Ni0.5-xMg0.5CuxFe2O4 (x = 0.0, 0.1, 0.3 and 0.5) nanoparticles synthesized by using auto combustion technique. The structural formation of the ferrite nanoparticles were confirmed by FTIR spectroscopic study. From FTIR spectra of the synthesized ferrite nanoparticles, metal ions are situated in two different sub lattices i.e. tetrahedral (A-site) and octahedral (B-site) in ferrites. The surface morphology and grain size of Cu substituted Ni-Mg ferrite nanoparticles were estimated from the micrographs of atomic force microscopy (AFM); the maximum grain size 54.69 nm was obtained. Spectra of UV-Visible absorption of the synthesized ferrite nanoparticles were carried-out by using UV-Vis spectrophotometry; the maximum absorption was observed at 418 nm. The energy band gap of ferrite nanoparticles has been estimated using UV-Vis absorption spectra; the energy band gap 3.50 eV was obtained. From the fluorescence emission spectra of the synthesized ferrite nanoparticles, ferrite samples emit red colour in the region of 680 nm.