4,808 research outputs found
Riequilibrio non artrodesi: trattamento funzionale della stenosi/instabilità vertebrale lombare
No full textRE-EQUILIBRATION NOT ARTHRODESIS: THE FUNCTIONAL TREATMENT OF LUMBAR VERTEBRAL STENOSIS/INSTABILITY.
There is evidence to support that stenosis and vertebral instability are two aspects of a process, the progressive and cyclic nature of which is not widely considered. The term "vertebral instability" is used in a non rigorous manner by exponents of highly invasive spinal surgery and arthrodesis is still considered the most effective therapy. However, attitudes may be beginning to change. We tackled the problem of vertebral lumbar stenosis/instability from a functional point of view, correlating the morphological alterations wiht the functional ones and considering them not as "excessive" but as "anomalous" movements. We assessed this condition in 26 patients by conventional methods and by biomechanical study "in vivo" with Axial-Loaded Computed Tomography (ALCT) wich enabled elementary dynamic modifications (EDMs) and complex dynamic modifications (CDMs) to be determined, revealing the biomechanical anomalies and their translation into dynamic images with a high anatomical and functional information. All patients underwnet "dynamic neutralisation" with the Dynesys(TM) system. The system controls vertebral dynamics, neutralising anomalous movements by opposing compressive forces through the elistic spacers, while tension in the cords limits elastic return, determining the resting position of the system. This treatment was based on our convinction that "preservation and restoration" of spinal function is better than "demolition and immobilisation". The clinical and functional results were good in all cases, confirming the validity of our approach and indication
Modeling and Optimal Management of Energy Storage Technologies in Smart Energy Systems
No full textThe environmental crisis of CO2 emissions is rising concern and driving research and applications towards non-emitting technologies. The energy sector is one of the largest contributors to global carbon emissions and worldwide energy demand is expected to continue growing. Renewable Energy Sources (RESs) offer enormous potential to decarbonise the environment as they do not contribute to Green-House Gases (GHGs) or other polluting emissions. However, RESs rely on natural resources, such as sunlight, wind, water, geothermal, which are generally unpredictable and dependent on weather, season, and year. As the world strives for sustainable and efficient energy solutions, the growing adoption of RESs raises concerns about the inherent variability in electricity generation, given that RESs are not easily controllable. This means that the power system is becoming increasingly complex and requires innovative solutions to enhance flexibility and enable the effective utilization of RESs. In this context, Energy Storage Systems (ESSs) are emerging as an effective solution for managing the unpredictability of RESs. Indeed, using an ESS, renewable energy can be stored using a variety of techniques and then used in a consistent and controlled manner when needed.
This doctoral thesis presents an in-depth investigation into the modelling and optimal management of energy storage technologies within the framework of Smart Energy Systems (SESs) where ESSs are exploited to efficiently use RESs and/or provide support to the control of the power system. The thesis begins with comprehensive review on existing literature on energy storage technologies, assessing their potentials and critical aspects to build appropriate models. The thesis then delves into the optimization and management of energy storage technologies within SESs. A range of control strategies and optimization algorithms are developed to maximize the benefits derived from energy storage resources. Factors such as electricity prices, renewable energy generation profiles, demand patterns, and grid constraints are taken into account to deliver optimal dispatch and scheduling strategies. These strategies aim to achieve objectives such as optimal economic operation, renewable energy integration, and grid stability enhancement.
Moreover, the thesis explores the integration of Energy Storage Systems (ESSs) with other components of SESs, such as RESs and different energy storage technologies, in a multi-vector energy framework. The synergistic effects of these integrated systems are analyzed to highlight the potential for improved operational efficiency and enhanced reliability of the overall energy system.
To validate the proposed models and management strategies, extensive case studies and simulations are conducted using real-world data and scenarios. These investigations provide quantitative assessments of the performance and economic viability of energy storage technologies in SESs.
The findings of this doctoral thesis hopefully contribute to the advancement of knowledge in the field of energy storage technologies and their optimal management within SESs. The research outcomes may have practical implications for policy makers, system operators, and researchers working towards the development of sustainable and resilient energy infrastructures. Ultimately, this work aims to contribute to pave the way for a greener and more efficient future by harnessing the potential of energy storage technologies within SESs.
In Chapter 1, the general features of ESSs and SESs are introduced. The chapter provides a general overview of existing energy storage technologies and their adoption in the context of SESs, focusing on methodologies and tools to optimally manage these technologies.
In Chapter 2, an extensive review of ESSs modeling is given, focusing on electrochemical energy storage technologies, such as secondary batteries and redox flow batteries, and on Power-to-Hydrogen. Innovative strategy to address the Remaining Useful Life (RUL) of Lithium-ion Batteries (LiBs) developed by the author during his Ph.D., in the context of the “Analysis and Test of Models for Battery Degradation Estimation” project is presented.
In Chapter 3, the concept of Renewable Energy Communities (RECs) in the European and Italian framework is addressed. Different solutions that have been developed by the author during his Ph.D. are presented.
In Chapter 4, the matter of multi-energy hub is addressed. In particular, the aspects of future Italian seaports are investigated and dedicated smart solutions designed by the author during his Ph.D. in the context of the “Ship2Grid” project are presented.
In Chapter 5, the idea of Community Batteries (CBs) is explored, and appropriate case studies based on real data from Australia are developed to investigate the goodness of this concept.
To complete the thesis, the Conclusions are presented together with some final remarks. Lastly, the lists of author’s publications, of projects in which the author was involved, of collaborations and attended courses by the author, and of references end the dissertation.
This thesis represents the completion of the doctoral research carried out under the careful supervision of Professor Stefano Massucco of the University of Genova, Professor Francesco Conte of the Campus Bio-Medico University of Rome, and Professor Pierluigi Mancarella of the University of Melbourne, to whom I express my deepest gratitude
A new hybrid AI optimal management method for renewable energy communities
No full textIn this study, we propose a hybrid AI optimal method to improve the efficiency of energy management in a smart grid such as Renewable Energy Community. This method adopts a Time Delay Neural Network to forecast the future values of the energy features in the community. Then, these forecasts are used by a stochastic Model Predictive Control to optimize the community operations with a proper control strategy of Battery Energy Storage System. The results of the predictions performed on a public dataset with a prediction horizon of 24 h return a Mean Absolute Error of 1.60 kW, 2.15 kW, and 0.30 kW for photovoltaic generation, total energy consumption, and common services, respectively. The model predictive control fed with such predictions generates maximum income compared to the competitors. The total income is increased by 18.72% compared to utilizing the same management system without exploiting predictions from a forecasting method
Evolution of VOC and Sensory Characteristics of Stracciatella Cheese as Affected by Different Preservatives
No full textUndesired volatile organic compounds (VOCs) can negatively affect the flavor of fresh food products; especially those characterized by a mild and delicate aroma. Finding connections between chemical and sensory analyses is a useful way to better understand the arising of off-flavors. A study was conducted on stracciatella; a traditional Italian cream cheese that is emerging on international markets. Samples were prepared by adding two different preservatives (alone or combined): sorbic acid and an olive leaf extract. Their influence on flavor preservation during refrigerated storage was investigated by chemical, microbiological and sensory analyses. A strong change of the VOC profile was ascertained after 8 days in the control cheese and in the sample added with leaf extract alone. The samples containing sorbic acid, alone or in combination with leaf extract, gave the best chemical and sensory results, demonstrating a significant shelf-life extension. In particular, these samples had lower concentrations of undesired metabolites, such as organic acids and volatiles responsible for off-flavor, and received better scores for odor and taste. Ex and Ex-So samples had significantly higher antioxidant activity than Ctr and So throughout the entire storage period, and the color parameter shows no differences among samples taken on the same day. The use of the olive leaf extract, at the concentration tested, seemed to be interesting only in the presence of sorbic acid due to possible synergic effect that mainly acted against Enterobacteriaceae
Francesco Scorza Barcellona o della passione agiografica
No full textL'autrice traccia, sul filo dei ricordi, il profilo scientifico ed umano di Francesco Scorza Barcellona ed introduce gli studi raccolti nel volume.The author traces, on the thread of memories, the scientific and human profile of Francesco Scorza Barcelona and introduces the studies collected in the book
Delle lodi di don Francesco Medici de' principi di Toscana : orazione /
No full textEngraved t.p. vignette of Medici arms. On recto of 2nd leaf is Callot's full-page engraved port. of Francesco de' Medici, son of Grand Duke Ferdinand I. It is in Lieure's 1st state. The port. also appeared the same year in Alessandro Adimari's Esequie dell' ill.mo & ecc.mo principe don Francesco Medici (Florence : Gio. Donato & Bernardino Giunti); see Lieure. Large woodcut Giunti device on p. [31].Lieure, J. Jacques Callot,Mode of access: Internet.At head of front pastedown is bookplate of Francesco Riccardi de Vernaccia (Florence, ca. 1780; see Gelli, p. 387). Below it is the label of Horatius (Orazio) Landau, with stamped shelfmark 53021. At foot is the bookplate of U. Manganelli, signed with the initials SER. A dedicatory inscription at foot of t.p. has been scratched out.Binding: modern marbled paper, backed in green vellum. Date, author & title writte on spine.Port. trimmed into the image at right margin and foot
Frankenstein
No full text@inproceedings{orsini2015graph,
title={Graph invariant kernels},
author={Orsini, Francesco and Frasconi, Paolo and De Raedt, Luc},
booktitle={IJCAI Proceedings-International Joint Conference on Artificial Intelligence. IJCAI},
year={2015}
Application of toasted vine-shoot chips and ultrasound treatment in the ageing of Primitivo wine
No full textAgeing wine in barrels is an historical practice used to improve the aromatic complexity of wine, but due to the high cost and the long ageing period, alternative approaches have been developed, such as the use of wood chips and ultrasound treatment. The present paper reports the results of an investigation performed on wine (cv. Primitivo). Three treatments were investigated: a) control wine untreated; b) wine with toasted vine-shoot chips (10 g/L); c) wine with toasted vine-shoot chips (10 g/L) and treated by ultrasound. Wines were analysed after 7, 14, 21, and 28 days. The application of ultrasound combined with vine-shoot chips promoted tannin evolution, thereby accelerating the ageing process of wine. The chips addition decreased the total anthocyanins content and increased the stilbenes (trans-resveratrol and trans-piceid) and wood-related aromas (i.e., furfural, 5-methylfurfural) concentration. Finally, wines added with chips were richer in woody, vanilla, oak, and chocolate notes and more preferred by the tasters
Il trattamento delle fratture traumatiche C0-C2: la nostra esperienza su 68 casi consecutivi
No full text- …
