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“Julio Vélez Sainz, Clásicos subversivos / clásicos subvertidos. Apropiación y vigencia del teatro áureo, Reichenberger, Kassel, 2023, 332 pp.”
Recensione della monografia di Julio Vélez Sainz dedicata alla diffusione del patrimonio teatrale classico spagnolo, in particolare nei secoli XIX e XX
Synthesis and biological investigation of peptidomimetic SARS-CoV-2 main protease inhibitors bearing quinoline-based heterocycles at P3
In the last few years, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been the cause of a worldwide pandemic, highlighting the need for novel antiviral agents. The main protease (Mpro) of SARS-CoV-2 was immediately identified as a crucial enzyme for viral replication and has been validated as a drug target. Here, we present the design and synthesis of peptidomimetic Mpro covalent inhibitors characterized by quinoline-based P3 moieties. Structure–activity relationships (SARs) were also investigated at P1 and P2, as well as for different warheads. The binding modes of the designed inhibitors were assessed using X-ray crystallographic and molecular docking studies. The identified Mpro inhibitors were tested for their antiviral activities in cell-based assays, and the results were encouraging. The SAR studies presented here can contribute to the future design of improved inhibitors by addressing some of the current or prospective issues regarding Mpro inhibitors currently used in therapy
Antimicrobial Resistance and Biofilm-Forming Ability in ESBL-Producing and Non-ESBL-Producing Escherichia coli and Klebsiella pneumoniae Isolated from Canine Urinary Samples from Italy
In dogs, bacterial urinary tract infections are a frequent cause
of antimicrobial prescription, increasing the risk of selecting antibiotic-resistant bacteria.
This study analyzed resistance patterns, the presence of extended-spectrum β-lactamases
(ESBLs) and biofilm-forming capacity in E. coli and K. pneumoniae previously isolated
from urine samples collected from 133 selected dogs admitted to the Veterinary Teaching
Hospital of Milan, Italy, in 2021 and 2023. Methods: The E. coli and K. pneumoniae isolates
were bacteriologically and genetically analyzed. Results: Overall, 53/133 (39.8%) samples
had a positive microbiological culture. Thirty-four E. coli/K. pneumoniae isolates were
detected, accounting for 26.5% of the examined samples. The 34 isolates included 28 E. coli
and 6 K. pneumoniae. Four (11.8%) were ESBL-producing bacteria, all supported by blaCTX-M
gene belonging to group 1. The K. pneumoniae isolates were significantly associated with
ESBL production (p < 0.05). MIC analysis showed 11 (32.4%) multidrug-resistant isolates.
Biofilm-forming capacity was observed in 23 (67.6%) isolates, regardless of bacterial species,
including 20 weakly and 3 moderately adherent bacteria. All moderate biofilm producers
were K. pneumoniae. Multidrug resistance (MDR) was significantly more present in strains
with moderate biofilm-forming ability compared to strains with weak ability to form biofilm
(p < 0.05). E. coli was confirmed as the most commonly identified urinary isolate in dogs.
Conclusions: The high presence of ESBL producers and MDR in K. pneumoniae suggests
mandatory in vitro susceptibility testing in the presence of this bacterium in dogs with
UTI. The association of moderate biofilm production with MDR highlights the need for
monitoring and surveillance of bacterial prevalence and resistance patterns of urinary
isolates in dogs
Analysis of BEPU-Approached Multi-Physics Wall-to-Fluid Single Phase Friction Pressure Drop
Over the last few decades, the aim in Nuclear Reactor Safety (NRS) research and licensing has been to transition
from conservative model use, which was widely used in the early stages of the nuclear industry, to the Best Estimate Plus
Uncertainty (BEPU) approach in order to increase the accuracy of results to increase reactor output power safely.
Furthermore, this decision is made to cover the increase in complexity of physics (i.e. Natural Circulation (NC), Passive
Safety Systems) used in nuclear reactors, despite a reduction in the number of active mechanical parts. The central pillars
of BEPU which are the selection of realistic Boundary and Initial Conditions (BIC) along with the adoption of an accurate
model implemented in the Best Estimate (BE) System Thermal-hydraulic (SYS TH) Code, and uncertainty quantification
methodologies should provide the reference for future works.
Among the 116 Thermal-Hydraulic Phenomena (THP) for Water Cooled Nuclear Reactors (WCNRs) that are
unique within the studied range of variables, the wall-to-fluid friction pressure drop (PD) as a Basic Phenomenon (BP)
that can have a severe impact on the overall behavior of a thermal-hydraulic (TH) system. In fact, in normal operation
conditions of NC systems, the efficiency of heat removal in the primary system is strongly dependent on PDs whereas,
in off-normal scenarios, meeting Emergency Core Cooling System (ECCS) criteria may be subject to the influence of
PDs along injection lines. Furthermore, this THP has an empirical origin, meaning there exists an integration domain in
friction PD explicit formulas based on Re number and relative roughness, while some geometries used in Nuclear Power
Proceedings of the 14th International Conference of the Croatian Nuclear Society
Zadar, Croatia, June 9 – 12, 2024 Paper No. 120
SESSION X: Title of Session X (To be added by Programme Committee)
Plants (NPP) may not fulfill the requirements of this integration domain.
One of the main sources of uncertainty in friction factor calculations is the selection of an appropriate value for
absolute roughness. The selection of the right value for roughness can become difficult because of the possible evolution
of the surface of the hydraulic component concerning time. Indeed, the initial surface condition of the alloys can evolve
on contact with the cooling solutions, by the growth of corrosion products, or by the deposition of particles resulting from
this corrosion. Thus, roughness can change both with aging also based on different stages in subsequent time windows,
and choosing a range for absolute roughness is suggested.
This work's ultimate goal is to assess the possible errors in both RELAP Mod3.2mz and RELAP-3D as candidates
for the most used BE SYS TH codes in Thermal-Hydraulic analysis and to emphasize the selection of the most appropriate
model for wall-to-fluid friction factor. To do so, research focused on the results obtained in single-phase PDs using
subcooled water with realistic BICs, since the correlations used for single-phase calculations are fairly well developed,
and enough experimental data are available. In order to use the results obtained from codes in the nuclear industry,
V&V&C must be applied in core-related safety issues, as it must be able to show the capability of computational tools
with a demonstration of an error. As stated, wall-to-fluid friction PDs, must not be treated as low-level objectives
anymore, especially for the design of RCS that rely on NC or passive systems. In addition, wall-to-fluid friction PD must
be considered as a Multi-Physical BP, since both water chemistry and wall material, as representative of coolant chemistry
and material, all affect the PDs
Battery energy storage systems for ancillary services in renewable energy communities
Renewable Energy Communities can become relevant flexibility actors thanks to their capability of gathering under the same ecosystem, different energy assets, such as generation, and storage, and deferrable and controllable devices such as heavy appliances and computing assets. Particularly thanks to the integration of different energy storages RECs can therefore become a relevant grid operator. This document presents a review of storage and flexibility services alongside a quantitative methodology to analyze its benefits, using the Julia-based EnergyCommunity.jl package. The renewable energy community in Savona in collaboration with the University of Genova campus has been simulated to assert the battery energy storage systems potential. The study compares the outcomes of cooperative approaches with and without flexibility services to a scenario where users do not cooperate. The study concludes that storage systems can create new flexible instruments for the grid and a tool for citizens, which could make batteries financially viable. The study suggests that greater transparency and information on hourly energy sales and purchase prices would facilitate awareness among community members and stimulate discussion of technologies such as batteries to cover the most expensive nighttime periods for users
Atomic Force Microscopy (AFM) nanomechanical characterization of micro- and nanoplastics to support environmental investigations in groundwater
Micro and nanoplastic (MNP) pollution is a severe environmental issue, posing potential risks to environmental and human health due to the intrinsic toxicity of plastic particles and their capacity to adsorb other pollutants. The diffusion of plastic debris affects all the environmental domains, including groundwater which was erroneously believed to be protected by the porous structure of the soil. Advanced spectroscopic techniques can detect the polymer type and quantify the number of MNP particles but are affected by large uncertainties in case of particles smaller than 10 mm in size and MNP heteroaggregates. To advance in the morphological and mechanical characterization of MNPs, a new protocol based on multifrequency Atomic Force Microscopy (AFM) is proposed with the support of the custom open software “MultiFreq AFMSuite”. Reconstituted MNP samples in pristine and aged conditions are used to fine-tune the methodology. Multifrequency AFM allows the detection of MNPs up to the nanometric scale based on elastic modulus assessments. The proposed technique also provides an indepth analysis of the MNP surface roughness and the morphological characterization of particle aggregates. MNP particles from groundwater samples result in aggregates with a roughness of one to two orders of magnitude higher than the plastic particles aged in the laboratory, suggesting a higher adsorption capacity towards pollutants or other natural compounds. The application of the proposed method can facilitate the characterization of micro-and nanoplastics in groundwater, a resource characterized by large uncertainties in hydrodynamics and pollutant transpor
Horizontal decompositions, II
We complete the classification of the smooth, closed, oriented 4-manifolds having Euler characteristic less than four and a horizontal handlebody decomposition of genus one. We use the classification result to find a large family of rational homology ball smoothings of cyclic quotient singularities which can be smoothly embedded into the complex projective plane. Our family contains all such rational balls previously known to embed into CP2 and infinitely many more. We also show that a rational ball of our family admits an almost-complex embedding in CP2 if and only if it admits a symplectic embedding
Development and experimental validation of a Sense-and-Avoid System for a mini-UAV
This paper provides an overview of the three-year effort to design and implement a prototypical sense-and-avoid (SAA) system based on a multisensory architecture leveraging data fusion between optical and radar sensors. The work was carried out within the context of the Italian research project named TERSA (electrical and radar technologies for remotely piloted aircraft systems) undertaken by the University of Pisa in collaboration with its industrial partners, aimed at the design and development of a series of innovative technologies for remotely piloted aircraft systems of small scale (MTOW < 25 Kgf). The system leverages advanced computer vision algorithms and an extended Kalman filter to enhance obstacle detection and tracking capabilities. The “Sense” module processes environmental data through a radar and an electro-optical sensor, while the “Avoid” module utilizes efficient geometric algorithms for collision prediction and evasive maneuver computation. A novel hardware-in-the-loop (HIL) simulation environment was developed and used for validation, enabling the evaluation of closed-loop real-time interaction between the “Sense” and “Avoid” subsystems. Extensive numerical simulations and a flight test campaign demonstrate the system’s effectiveness in real-time detection and the avoidance of non-cooperative obstacles, ensuring compliance with UAV aero-mechanical and safety constraints in terms of minimum separation requirements. The novelty of this research lies in (1) the design of an innovative and efficient visual processing pipeline tailored for SWaP-constrained mini-UAVs, (2) the formulation an EKF-based data fusion strategy integrating optical data with a custom-built Doppler radar, and (3) the development of a unique HIL simulation environment with realistic scenery generation for comprehensive system evaluation. The findings underscore the potential for deploying such advanced SAA systems in tactical UAV operations, significantly contributing to the safety of flight in non-segregated airspaces