On the mechanics of “false vaults”: new analytical and computational approaches

The aim of this paper is to present new analytical and computational approaches for assessing the structural safety of “false vaults” structures like Trulli, and more generally for corbelled structures. In particular, the proposed procedure is capable of taking into account the three-dimensional behavior of such complex masonry structures

Highly specific memory B cells generation after the 2nd dose of BNT162b2 vaccine compensate for the decline of serum antibodies and absence of mucosal IgA

Specific memory B cells and antibodies are a reliable read-out of vaccine efficacy. We analysed these biomarkers after one and two doses of BNT162b2 vaccine. The second dose significantly increases the level of highly specific memory B cells and antibodies. Two months after the second dose, specific antibody levels decline, but highly specific memory B cells continue to increase, thus predicting a sustained protection from COVID-19. We show that although mucosal IgA is not induced by the vaccination, memory B cells migrate in response to inflammation and secrete IgA at mucosal sites. We show that the first vaccine dose may lead to an insufficient number of highly specific memory B cells and low concentration of serum antibodies, thus leaving vaccinees without the immune robustness needed to ensure viral elimination and herd immunity. We also clarify that the reduction of serum antibodies does not diminish the force and duration of the immune protection induced by vaccination. The vaccine does not induce sterilizing immunity. Infection after vaccination may be caused by the lack of local preventive immunity because of the absence of mucosal IgA

Identification of Potential Therapeutic Drugs for Huntington's Disease using Caenorhabditis elegans

The prolonged time course of Huntington's disease (HD) neurodegeneration increases both the time and cost of testing potential therapeutic compounds in mammalian models. An alternative is to initially assess the efficacy of compounds in invertebrate models, reducing time of testing from months to days.We screened candidate therapeutic compounds that were identified previously in cell culture/animal studies in a C. elegans HD model and found that two FDA approved drugs, lithium chloride and mithramycin, independently and in combination suppressed HD neurotoxicity. Aging is a critical contributor to late onset neurodegenerative diseases. Using a genetic strategy and a novel assay, we demonstrate that lithium chloride and mithramycin remain neuroprotective independent of activity of the forkhead transcription factor DAF-16, which mediates the effects of the insulin-like signaling pathway on aging.These results suggest that pathways involved in polyglutamine-induced degeneration are distinct from specific aging pathways. The assays presented here will be useful for rapid and inexpensive testing of other potential HD drugs and elucidating pathways of drug action. Additionally, the neuroprotection conferred by lithium chloride and mithramycin suggests that these drugs may be useful for polyglutamine disease therapy

Cryptococcus: from environmental saprophyte to global pathogen.

Cryptococcosis is a globally distributed invasive fungal infection that is caused by species within the genus Cryptococcus which presents substantial therapeutic challenges. Although natural human-to-human transmission has never been observed, recent work has identified multiple virulence mechanisms that enable cryptococci to infect, disseminate within and ultimately kill their human host. In this Review, we describe these recent discoveries that illustrate the intricacy of host-pathogen interactions and reveal new details about the host immune responses that either help to protect against disease or increase host susceptibility. In addition, we discuss how this improved understanding of both the host and the pathogen informs potential new avenues for therapeutic development

Biophenolic profile in olives by nuclear magnetic resonance

The molecular composition of biophenols in olive fruit was investigated in order to experiment with novel procedures for the determination of these microcomponents in fresh and processed table olives. The presence of biophenols in table olives, with recognized antioxidant activity, can be strictly linked to the texture and the organoleptic characteristics of the food product, giving a functional value to this Mediterranean food. Olives from Spain ("Hojiblanca" cv.), Portugal ("Douro" cv.), Greece ("Conservolia" and "Thasos"cv.) and Italy ("Taggiasca" and "Cassanese" cv.) were examined, because the experimental data, checked by high-performance liquid chromatography (HPLC), show molecular composition differences in the tested samples related to the geographic area of analyzed olive fruit cultivars [Bianco, A., & Uccella, N. (2000). Biophenolic components of olives. Food Research International, 33, 475-485]. Three different protocols were utilized: the first one allows the determination of the biophenolic content present as free and esterified compounds; the second affords the total biophenolic content; the third indicates the biophenols present as glycosides. The biophenolic content, which was previously determined by classic HPLC methods (Bianco & Uccella, 2000), was checked by a simple]H-NMR experiment. The comparison between the data obtained from H-1-NMR with those measured by HPLC, indicates a good agreement and suggests the possibility of employing H-1-NMR for the rapid determination of biophenolic content in olives and also in other foods. (C) 2001 Elsevier Science Ltd. All rights reserved

Numerical and Experimental Study of Gas Phase Nanoparticle Synthesis Using NanoDOME

Nowadays, with the rocketing of computational power, advanced numerical tools, and parallel computing, multi-scale simulations are becoming applied more and more to complex multi-physics industrial processes. One of the several challenging processes to be numerically modelled is gas phase nanoparticle synthesis. In an applied industrial scenario, the possibility to correctly estimate the geometric properties of the mesoscopic entities population (e.g., their size distribution) and to more precisely control the results is a crucial step to improve the quality and efficiency of the production. The “NanoDOME” project (2015–2018) aims to be an efficient and functional computational service to be applied in such processes. NanoDOME has also been refactored and upscaled during the H2020 Project “SimDOME”. To prove its reliability, we present here an integrated study between experimental data and NanoDOME’s predictions. The main goal is to finely investigate the effect of a reactor’s thermodynamic conditions on the thermophysical history of mesoscopic entities along the computational domain. To achieve this goal, the production of silver nanoparticles has been assessed for five cases with different experimental operative conditions of the reactor. The time evolution and final size distribution of nanoparticles have been simulated with NanoDOME by exploiting the method of moments and population balance model. The validation is performed by comparing NanoDOME’s calculations with the experimental data