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Puliti, Gabriello
Gabriello Puliti (Montepulciano, 1583? - Trieste or Cherso now Cres 1644) entered the Franciscan order before or at the time of his first appointment as maestro di coro of the monastery at Pontremoli in 1600. In 1602 he was an organist at the monastery in Piacenza. In 1604 he was at the monastery in Pola (now Pula) and in 1605 he was maestro di cappella in Muggia, near Trieste. Between 1606 and 1609 he was an organist in Capodistria (now Koper) and from 1609 to 1612 he was in Trieste. In 1614 he was back in Capodistria and in 1616 he was in Pirano (now Piran). He was elected guardiano at the monastery of Capodistria and lived there between 1618 and 1620. Puliti served at Albona (now Labin), 1621–2, before returning to Capodistria between 1622 and 1624. In 1628 he was elected "discretus" at the monastery of Pago (now Pag) Island, concluding his career in Trieste about 1638. His death is recorded in the acts of the Franciscan order for the province of Dalmatia. Working in the most important cities of Venetian Istria, Puliti benefited from noble patronage and from acquaintances with other Franciscan composers working in Dalmatia, for example Ivan Lukačić, and Giacomo Finetti, maestro di cappella of St. Maria Gloriosa dei Frari, Venice.
Puliti was a prolific composer. However, less than half of his output seems to survive: 15 of his published volumes are extant (9 are available also in modern edition), and the latest known is marked as op.36. He wrote sacred and secular vocal music plus some collections of instrumental music. The quality of the surviving works varies and his music shows both modern and traditional tendencies. His early publications are those of an undistinguished beginner. He seems to have been slow in accepting the monodic style, his first known collection consisting entirely of monodies dating from 1618. At least three volumes in the same style followed in quick succession around 1620. These monodies show him at his best: they demonstrate a good sense of balance between syllabic and melismatic passages, although some of them show a bias towards virtuosity. Some of the madrigals in his "Baci ardenti" (1609) are in praise of the Archdukes Maximilian Ernst and Ferdinand II of Austria, the future emperor of Austria. "Pungenti dardi" (1618) contains a imitation (parody) of a sacred monody by Bartolomeo Barbarino and a imitation of Palestrina’s madrigal "Là ver l'aurora" appears in the second book of masses (1624). The title "Accademico armonico detto l’allegro", which appears for the first time in the madrigal book of 1609, and his friendship with the poets of Capodistria, may suggest that Puliti was a member of the Accademia Palladia.
Part of his sacred music is dedicated to the inquisitors of Carniola (a region of present-day Slovenia) and Istria; his motto mass of 1624 reveals his consent to the Counter-reformation's policy aiming to restore the power of Roman Church, both in Austria and Istria after the Council of Udine (1596)
Role of nitric oxide and melanogenesis in the accomplishment of anticryptococcal activity by the BV-2 microglial cell line.
J Neuroimmunol. 1995 Apr;58(1):111-6.
Role of nitric oxide and melanogenesis in the accomplishment of anticryptococcal activity by the BV-2 microglial cell line.
Blasi E, Barluzzi R, Mazzolla R, Tancini B, Saleppico S, Puliti M, Pitzurra L, Bistoni F.
SourceDepartment of Biomedical Sciences, University of Modena, Italy.
Abstract
In the present paper, we investigated the involvement of cryptococcal melanogenesis and macrophage nitric oxide (NO) production in the accomplishment of anticryptococcal activity by microglial effector cells, using the murine cell line BV-2. We demonstrate that the constitutive levels of anticryptococcal activity exerted by BV-2 cells is significantly enhanced upon interferon gamma plus lipopolysaccharide treatment. The phenomenon, which occurs with no enhancement of phagocytic activity, is associated with the production of high levels of NO and is abolished by addition of NG-monomethyl-L-arginine. Comparable patterns of results are observed employing either unopsonized or opsonized microbial targets, the latter microorganisms being markedly more susceptible to BV-2 cell antimicrobial activity. Furthermore, melanization of Cryptococcus neoformans significantly reduces its susceptibility to BV-2 antimicrobial activity, regardless of the fact that activated macrophages or opsonized microorganisms have been employed. In conclusion, our results provide evidence that NO-dependent events are involved in the fulfillment of anticryptococcal activity by activated microglial cells and that fungal melanization is a precious escamotage through which C. neoformans overcomes host defenses.
PMID: 773044
Heterogeneous secretory response of phagocytes from different anatomical districts to the dimorphic fungus Candida albicans.
In the present study, we have examined the ability of phagocytes from different anatomical districts to discriminate between the two morphogenetic forms of Candida albicans. We have demonstrated that resident peritoneal macrophages (RP-M phi) and thioglycollate-elicited peritoneal macrophages (TP-M phi) were able to distinguish between the hyphal (H-Candida) and the yeast (Y-Candida) form of the fungus, since TNF production was observed only upon exposure of RP-M phi and TP-M phi to H-Candida. In contrast, splenic macrophages (S-M phi), bone marrow-derived macrophages (BM-M phi) and polymorphonuclear neutrophils (PMN) did not discriminate between the two forms because S-M phi and PMN produced TNF regardless of the morphogenetic status of the fungus, while BM-M phi did not. Under the same experimental conditions, we failed to observe IL-1 production from any of the phagocytic cell populations examined, with the exception of PMN. This implies that the interaction between phagocytes and C. albicans triggers differential secretory responses depending upon the morphogenetic status of the fungus and the anatomical localization of the immune cells
Valutazione dell'assetto fenotipico e funzionale di cellule eucariotiche "carriers" di informazione genetica esogena. Perugia 26-31 Ottobre
Artrite settica indotta sa Streptococchi di gruppo B: effetto del trattamento con IFN-gamma - 8° Congresso della Società Italiana di Microbiologia Medica Odontoiatrica e Clinica
Combined infrared imaging and structure from motion approach for building thermal energy efficiency and damage assessment
In the United States, buildings' heating, ventilation, and air conditioning (HVAC) systems account for approximately 40% of the global energy consumption, and contribute between 40% and 48% of the CO2 emissions. One of the largest causes for this type of energy consumption is heat loss. Energy loss can be attributed to inefficiency and sub-surface defects in the structure that reduce the thermal resistance and facilitate unwanted heat transmission within the environment. In recent years, infrared (IR) thermography has proven to be an excellent tool for detecting heat loss from a building envelope. At the same time, advancements in computer vision systems have enabled the use of Structure from Motion (SfM) as a photogrammetry technique. SfM is used for the generation of three-dimensional (3D) building information modeling (BIM). It has the potential to facilitate remote visual inspection of large-scale structures and infrastructure systems by creating virtual renderings. The results of an experiment performed on a lab-scale building using both IR and SfM techniques is analyzed. In particular, the accuracy of SfM in generating a 3D virtual rendering of a target object by using images acquired from a low-cost IR camera is discussed. IR images of a building are recorded and are used for reconstructing a digital model of the structure. The goal is to characterize the viability of SfM in detecting sub-surface defects that can yield to significant heat loss and reduce thermal efficiency in the façade of the building
Automated damage detection of bridges sub-surface defects from infrared images using machine learning
According to the American Road and Transportation Builders Association (ARTBA), 46,052 of America's 616,087 bridges are rated “structurally deficient” and need urgent repairs. The detection of damages through conventional methods, such as visual inspection and hammer tests are expensive, time-consuming, and challenging to perform without interfering with traffic operations. In the last years, different Non-Destructive Evaluation (NDE) techniques such as computer-vision-based crack detection, impact echo, ultrasonic surface waves, electrical resistivity, ground-penetrating radar, and infrared thermography (IRT) have been developed to inspect aging structures. Among all, IRT has shown the capabilities of detecting defects resulting in different temperature distribution. It can be useful to identify sub-surface damages as delamination and water infiltration, hardly detectable using other traditional methods. In this paper, an algorithm to automatically detect damages in bridges from IR images is proposed. The algorithm exploits the temperature difference between damaged and undamaged parts through machine learning and computer vision techniques to highlight the location of flaws in the structure. Laboratory experiments and real-world analysis on in-service bridges are described in this research to validate the proposed method's accuracy. This study aims to automate the damage detection phases on large-scale structures
Neuronal defects in genotyped dominant megacolon (Dom) mouse embryos, a model for Hirschsprung disease.
Chromosomal aberrations and c-mitoses induced by isomers of benz(a)pyrene and pyrene quinones in CHEL cells
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