1,721,174 research outputs found
Monitoring Indoor Carbon Dioxide Concentration and Effectiveness of Natural Trickle Ventilation in a Middle School in Rome.
No full textAn extensive CO2 concentration monitoring activity was carried out in a middle school located in Rome. Objective of the study was to evaluate the indoor air quality in eight classrooms during class occupation and to evaluate the ventilation rates of a natural trickle ventilation system, through an interactive approach involving the pupils. The analysis was conducted in two phases: a long-term analysis that consisted of evaluating the CO2 concentration and indoor air temperature in each classroom during the 2009/2010 scholastic year to obtain a snapshot of the indoor environment and a short-term testing carried out in 4 days in February 2010, involving the pupils in the monitoring activity. The campaign was performed during the teaching hours and students registered the air exchange events (opening and closing of windows and door) during the class hours. The correlation of the air exchange events recorded by the students with the CO2 concentration level recorded every minute and the opening and closing control of the trickle ventilation system allowed the evaluation of the ventilation rate of the system. The interactive evaluation approach gave the conclusion that the system alone could not completely fulfil its performance requiremen
Remote sensing and electromagnetic modeling applied to weather and forward scatter radar
Full text linkThis dissertation deals with electromagnetic modelling and data analysis,
related to radar remote sensing and applied to forward scatter and meteorological
polarimetric systems. After an overview of radar fundamentals to
introduce the general terminology and concepts, results are presented at
the end of each chapter.
In this respect, a generalized electromagnetic model is first presented
in order to predict the response of forward scatter radars (FSRs) for airtarget
surveillance applications in both near-field and far-field regions.
The model is discussed for increasing levels of complexity: a simplified
near-field model, a near-field receiver model and a near-field receiver and
transmitter model. FSR results have been evaluated in terms of the effects
of different target electrical sizes and detection distances on the received
signal, as well as the impact of the trajectory of the moving objects and
compared with a customized implementation of a full-wave numerical
tool.
Secondly, a new data processing methodology, based on the statistical
analysis of ground-clutter echoes and aimed at investigating the monitoring
of the weather radar relative calibration, is presented. A preliminary
study for an improvement of the ground-clutter calibration technique is
formulated using as a permanent scatter analysis (PSA) and applied to
real radar scenarios. The weather radar relative calibration has been applied
to a dataset collected by a C-band weather radar in southern Italy
and an evaluation with statistical score indexes has drawn through the
comparison with a deterministic clutter map. The PSA technique has been
proposed using a big metallic roof with a periodic mesh grid structure and
having a hemispherical shape in the near-field of a polarimetric C-band
radar and evaluated also with an ad-hoc numerical implementation of a
full-wave solution.
Finally, a radar-based snowfall intensity retrieval is investigated at centimeter
and millimeter wavelengths (i.e., at X, Ka and W band) using a
high-quality database of collocated ground-based precipitation measurements
and radar multi-frequency observations. Coefficients for the multifrequency
radar snowfall intensity retrieval are empirically derived using
multivariate regression techniques and their interpretation is carried out
by particle scattering simulations with soft-ice spheroids.
For each topic, conclusions are proposed to highlight the goals of the
whole work and pave the way for future studies
Cytokine Storm in COVID-19: “When You Come Out of the Storm, You Won’t Be the Same Person Who Walked in”
Full text linkIn December 2019, a novel coronavirus, COVID-19, was discovered to be the causal agent of a severe respiratory infection named SARS-CoV-2, and it has since been recognized worldwide as a pandemic. There are still numerous doubts concerning its pathogenesis and particularly the underlying causes of the various clinical courses, ranging from severe manifestations to asymptomatic forms, including acute respiratory distress syndrome. The major factor responsible for acute respiratory distress syndrome is the so-called “cytokine storm,” which is an aberrant response from the host immune system that induces an exaggerated release of proinflammatory cytokines/chemokines. In this review, we will discuss the role of cytokine storm in COVID-19 and potential treatments with which counteract this aberrant response, which may be valuable in the clinical translation
A Progressive Approach Towards a More Sustainable Food Industry
No full textCimini A., Moresi M. (2019) A Progressive Approach Towards a More Sustainable Food Industry. Chemical Engineering Transactions, 75, 565-570 (DOI: 10.3303/CET1975095). (OPEN ACCESS)
In this work, the main direct environmental impacts of the food industry, as well as greenhouse gas (GHG)
emissions for the agro-food system in industrialized countries, were pointed out. A simple and stepwise
approach, based on the mere assessment of the product Carbon Footprint (CF), was used to improve the
sustainability of small- and medium-sized food and drink enterprises before analyzing the impact of other
impact categories than climate change. By applying previously developed LCA models, the cradle-to-grave
carbon footprint of dry pasta and malt beer was estimated and practically halved by resorting to a series of
mitigation options. A cost/benefit analysis is required to assess the feasibility of each selected option.This research was supported by the Italian Ministry of Instruction, University and Research, special grant
PRIN 2015 – prot. 2015MFP4RC_002
Insights into the effects of mesenchymal stem cell-derived secretome in Parkinson’s disease
Full text linkMesenchymal stem cell (MSC)-derived secretome demonstrated therapeutic effects like those reported after MSCs transplantation. MSC-derived secretome may avoid various side effects of MSC-based therapy, comprising undesirable differentiation of engrafted MSCs and potential activation of the allogeneic immune response. MSC-derived secretome comprises soluble factors and encapsulated extravesicles (EVs). MSC-derived EVs comprise microvesicles, apoptotic bodies, and exosomes. In this review, we focus on the recent insights into the effects of MSC-derived secretome in Parkinson’s disease (PD). In particular, MSC-derived secretome and exosomal components counteracted neuroinflammation and enhanced antioxidant capacity and neurotrophic factors expression. In light of the insights reported in this review, MSC-derived secretome or their released exosomes may be used as a potential therapeutic approach or as adjuvant therapy to counteract the disease progression and improve PD symptoms. Also, MSC-derived secretome may be used as a vehicle in cell transplantation approaches to enhance the viability and survival of engrafted cells. Furthermore, since exosomes can cross the blood–brain barrier, they may be used as biomarkers of neural dysfunction. Further studies are necessary to fully characterize the bioactive molecules present in the secretome and to create a new, effective, cell-free therapeutic approach towards a robust clinical outcome for PD patients
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Art. 10 Principi di tassatività delle cause di esclusione e di massima partecipazione
No full textAbstract non disponibil
Art. 147 (Elettricità)
No full textSi commenta l'art. 147 del nuovo Codice dei contratti pubblici di cui al d.lgs. n. 36/2023, tenuto conto anche dell'intervento correttivo operato con il d.lgs. n. 209/2024. In particolare, il commento si sofferma sull'ambito di applicazione oggettivo della disciplina del predetto Codice, in relazione agli appalti aggiudicati dagli enti che operano nel settore speciale dell'elettricità
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