1,592 research outputs found

    NEOGLOBOQUADRINA ATLANTICA PRAEATLANTICA, NEW SUBSPECIESFROM LATE MIDDLE MIOCENE

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    A new subspecies of Neogloboquadrina atlantica atlantica previously reported under different names, is here distinguished and named Neogloboquadrina atlantica praeatlantica. Its first occurrence into the Mediterranean dated at 11.78 Ma, is not evolutionary appearance but is related to a global climatic cooling which pushed southwards from high latitude this taxon; however, the area of its evolutionary appearance is not clearly defined; its extinction occurs within the Globigerinoides obliquus extremus Zone. N. atlantica atlantica which evolves from N. atlantica praeatlantica occurs in the Mediterranean at 11.15 Ma, just after the Mediterranean exit of Paragloborotalia siakensis (Le Roy).  &nbsp

    Urokinase signaling through its receptor protects against anoikis by increasing BCL-xL expression levels.

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    The acquired capabilities of resistance to apoptotic cell death and tissue invasion are considered to be obligate steps in tumor progression. The binding of the serine protease urokinase (uPA) to its receptor (uPAR) plays a central role in the molecular events coordinating tumor cell adhesion, migration, and invasion. Here we investigate whether uPAR signaling may also prevent apoptosis following loss of anchorage (anoikis) or DNA damage. If nontransformed human retinal pigment epithelial cells are pre-exposed to uPA or to its noncatalytic amino-terminal region (residues 1-135), they exhibit a markedly reduced susceptibility to anoikis as well as to UV-induced apoptosis. This anti-apoptotic effect is retained by a uPA-derived synthetic peptide corresponding to the receptor binding domain and is inhibited by anti-uPAR polyclonal antibodies. Furthermore, the stable reduction of uPA or uPAR expression by RNA interference leads to an increased susceptibility to UV-, cisplatin-, and detachment-induced apoptosis. In particular, the level of uPAR expression positively correlates with cell resistance to anoikis. The protective ability of uPA is prevented by UO126, LY294002, by an MAPK targeting small interference RNA, and by a dominant negative Akt variant. Accordingly, incubation of retinal pigment epithelial cells with uPA elicits a time-dependent enhancement of MAPK and phosphatidylinositol 3-kinase activities as well as the transcriptional activation of Bcl-xL anti-apoptotic factor. Vice versa, the silencing of Bcl-xL expression prevents uPA protection from anoikis. In conclusion, the data show that ligand engagement of uPAR promotes cell survival by activating Bcl-xL transcription through the MEK/ERK- and phosphatidylinositol 3-kinase/Akt-dependent pathways

    Complex composite technology investigation: Simulations and experimental results

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    The paper deals with discussion of research activities within ITEMB (InTEgrated Full Composite Main landing gear Bay Concept) framework, an EU Clean Sky 2 program coordinated by Airbus. The driving motivation for the investigation on such a technology was found in the opportunity to design a main landing gear bay in a full composite configuration: Rational approaches have been implemented in an efficient testing stage providing the necessary database for the static qualification of the conceived design. Advanced and innovative solutions for a "more integrated" system were duly analysed and experimentally validated thus proving the overall device compliance with industrial standards and applicable airworthiness requirements

    Manufacturing and Validation of a Novel Composite Component for Aircraft Main Landing Gear Bay

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    Composite materials may reduce the final weight of the aircraft structural components, in addition to improve fatigue performance and corrosion resistance. In order to achieve the optimization of air transport systems, making them increasingly sustainable, the structural design must be surely reviewed, starting to follow the ‘‘composite thinking’’ philosophy. The present research provides some relevant outcomes concerning the design of a composite sample for the main landing gear bay of a large commercial airplane (EASA CS25 category), within ITEMB (integrated full composite main landing gear bay concept) project, a program of Clean Sky 2 EU research framework. The most ambitious goal is to develop a new generation of lower center fuselage (LCF) with an innovative integrated landing system in the fuselage, which is considered the next frontier in the development of landing systems for medium-haul aircraft, such as the Airbus A320 aircraft family. The development of a different architecture, with the landing gear integrated within the related fuselage bay, could lead to a simplification of the whole subassembly with potential advantage in terms of construction and assembly times. Final target of the project is the manufacturing of an innovative monolithic composite structure that will replace the actual configuration (a mixed structure of metal and composite subassemblies) reducing or actually removing all the cost of assembly and increasing the production rate. This paper presents the main results of the work, introducing the main processing steps and prototype results; in the last part of the work, also some experimental tests on significant element are introduced as the first assessment of the technology readiness level that has been achieved

    Earthquake Early Warning System for Structural Drift Prediction Using Machine Learning and Linear Regressors

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    In this work, we explored the feasibility of predicting the structural drift from the first seconds of P-wave signals for On-site Earthquake Early Warning (EEW) applications. To this purpose, we investigated the performance of both linear least square regression (LSR) and four non-linear machine learning (ML) models: Random Forest, Gradient Boosting, Support Vector Machines and K-Nearest Neighbors. Furthermore, we also explore the applicability of the models calibrated for a region to another one. The LSR and ML models are calibrated and validated using a dataset of ∼6,000 waveforms recorded within 34 Japanese structures with three different type of construction (steel, reinforced concrete, and steel-reinforced concrete), and a smaller one of data recorded at US buildings (69 buildings, 240 waveforms). As EEW information, we considered three P-wave parameters (the peak displacement, Pd, the integral of squared velocity, IV2, and displacement, ID2) using three time-windows (i.e., 1, 2, and 3 s), for a total of nine features to predict the drift ratio as structural response. The Japanese dataset is used to calibrate the LSR and ML models and to study their capability to predict the structural drift. We explored different subsets of the Japanese dataset (i.e., one building, one single type of construction, the entire dataset. We found that the variability of both ground motion and buildings response can affect the drift predictions robustness. In particular, the predictions accuracy worsens with the complexity of the dataset in terms of building and event variability. Our results show that ML techniques perform always better than LSR models, likely due to the complex connections between features and the natural non-linearity of the data. Furthermore, we show that by implementing a residuals analysis, the main sources of drift variability can be identified. Finally, the models trained on the Japanese dataset are applied the US dataset. In our application, we found that the exporting EEW models worsen the prediction variability, but also that by including correction terms as function of the magnitude can strongly mitigate such problem. In other words, our results show that the drift for US buildings can be predicted by minor tweaks to models

    Post-COVID-19 arthritis: a case report and literature review

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    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) is the novel pathogen responsible for the coronavirus disease 19 (COVID-19) outbreak. Researchers and clinicians are exploring the pathogenetic mechanisms of the viral-induced damage and growing interest is focusing on the short-term and long-term immune-mediated consequences triggered by the infection. We will focus on post-SARS-CoV2 infection arthritis which may arise as a new pathological condition associated with COVID-19. In this article, we describe a case of acute oligoarthritis occurring 13 days after a SARS-CoV2 severe pneumonia in a middle-aged Caucasian man and we go over a brief review of the current available literature. We hypothesize that molecular mimicry might be the basic immunological mechanism responsible for the onset of COVID-19-related arthritis based on the current knowledge of SARS-CoV2 and on the known pathogenetic mechanism of viral-induced arthritis

    Characterization of four typical calabrian cured meat products: Spicy sausage, soppressata, ’nduja and capocollo

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    Typical Calabrian cured meat products, produced with meat of local and commercial pig breeds were evaluated and characterized for their quality and homogeneity. Sensory, microbiological and physicochemical analyses were carried out at the end of cured meat products ripening. A wide statistical variability was observed in these commercial products due to both company and different productions. The mineral composition was similar to that observed by other authors in similar cured meat products; the statistical analysis revealed only a difference among the samples for magnesium (P<0.01) and for calcium (P<0.05) contents. According to the performed sensory analysis, the meat products were acceptable with some differences due to both production and company variables. About microbial populations, the most abundant were lactic acid bacteria and total aerobic bacteria, while enterobacteria were less represented
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