1,721,329 research outputs found
Impact of the phase out of French nuclear reactors on the Italian power sector
No full textThe present paper proposes an analysis concerning the impact of the reduction of the net electricity flow between France and Italy due to the phase out of French nuclear power plants. The analysis is performed by using a bid stack model which offers an approximate, but reliable representation of the Italian power system, as shown by extensive validation on historical data. The study takes into account sixteen scenarios given by the combination of different assumptions on the operating life of French nuclear reactors, fuel price, renewables development and demand level. Furthermore, a Business As Usual scenario is implemented as reference case. The results have shown that some scenarios determine tight conditions for the Italian power market and provoke an increase of the clean spark of 13 €/MWh with respect to the Business As Usual scenario. At the same time, an increase of the load factor of gas turbines from 0.5% to 4% is also detected. This situation requires substantial interventions in order to re-balance the system. On the contrary, scenarios which imply a more aggressive development of renewables and low increase of the demand, even in the case of a relevant phase out of nuclear capacity in France, do not determine tight conditions on the Italian power market, therefore it is not necessary to adopt particular measures. © 2018 Elsevier Lt
Implications of Artificial Intelligence in Addressing Antimicrobial Resistance: Innovations, Global Challenges, and Healthcare’s Future
No full textAntibiotic resistance poses a significant threat to global public health due to complex interactions between bacterial genetic factors and external influences such as antibiotic misuse. Artificial intelligence (AI) offers innovative strategies to address this crisis. For example, AI can analyze genomic data to detect resistance markers early on, enabling early interventions. In addition, AI-powered decision support systems can optimize antibiotic use by recommending the most effective treatments based on patient data and local resistance patterns. AI can accelerate drug discovery by predicting the efficacy of new compounds and identifying potential antibacterial agents. Although progress has been made, challenges persist, including data quality, model interpretability, and real-world implementation. A multidisciplinary approach that integrates AI with other emerging technologies, such as synthetic biology and nanomedicine, could pave the way for effective prevention and mitigation of antimicrobial resistance, preserving the efficacy of antibiotics for future generations
The Italian Code of Criminal Procedure: a Reading Guide
No full textThe essay introduces the first translation in english of the Italian Code of Criminal Procedure. The Author leads the foreign reader among the structure and main contents of the Italian criminal justice system. He presents in a critical way the law of evidence, the special proceedings and the hypertrophic system of appellate remedies
Transient heat conduction in wires with heat sources; lumped and distributed solution techniques
No full textThe aim of this study is to test the approximate lumped analysis against the more rigorous distributed parameter approach in the solution of 1D and 2D nonlinear heat conduction problems associated with electrical cables under a current load. The system of partial differential equations governing the distributed parameter model is replaced by a system of ordinary differential equations with total derivatives with respect to time. The number of temperature unknowns is highly reduced and the numerical solution, even though approximate, can be very fast. Furthermore, with the use of the thermal-electrical analogy, the lumped system can be described as an equivalent electric circuit composed of thermal resistances and capacitances properly connected and solved with dedicated software. In this work, the lumped approach is applied to the overheating effect of insulated electric cables under a current load both in a steady and a transient regime. For this application, the lumped methodology can be very useful owing to the presence of several regions of solution domain having negligible internal conductive resistance. The approximate solutions are compared with the distributed parameter approach obtained with a commercial FEM code. An empirical methodology is described for modeling single cables and composite flat cables in such a way as to minimize the difference between the approximate and the more rigorous solution, both in a steady state and in a dynamic regime. The difference can be limited to less than few percent and can be considered fully adequate for industrial design
The Italian Code of Criminal Procedure: a Reading Guide
No full textThe essay introduces the first translation in english of the Italian Code of Criminal Procedure. The Author leads the foreign reader among the structure and main contents of the Italian criminal justice system. He presents in a critical way the law of evidence, the special proceedings and the hypertrophic system of appellate remedies
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
Simultaneous optimization of the electromagnetic and mechanical properties of honeycomb materials
No full textIn this work a combined analysis of the out-of-plane mechanical and dielectric properties of auxetic re-entrant honeycombs is performed. Experimental and numerical simulations are carried out to evaluate the correlation between the anisotropicity of the transverse mechanical properties (shear and compressive modulus) and the permittivity tensor of general and auxetic (Negative Poisson's ratio) honeycombs. Different numerical and experimental techniques have been applied to obtain the mechanical and dielectric properties of genral and auxetic honeycombs versus the core material and unit cell geometry parameters. The results are evaluated to assess the feasibility of this kind of cellular solid for electromagnetic screen applications with high structural integrity performance. © 2002 SPIE · 0277-786X/02/$15.00
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