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| 1 | Apower Electrical Signal Tracking Strategy Based on the Modulating Functions Method显示文摘 | Giuseppe Fedele Ciro Pocardi | 2009 | IEEE Transactions on Industry Electronics2009，56，10： | 1 |
| 2 | The HMGA1-IGF-I/IGFBP System: A Novel Pathway for Modulating Glucose Uptake显示文摘 | Stefania Iiritano Eusebio Chiefari Valeria Ventura Biagio Arcidiacono Katiuscia Possidente Aurora Nocera Maria T. Nevolo Monica Fedele Adelaide Greco Manfredi Greco Giuseppe Brunetti Alfredo Fusco Daniela Foti Antonio Brunetti | 2012 | Molecular Endocrinology2012，，9： | 1 |
| 3 | Gastric adenocarcinoma incidence in the province of Messina (InsularItaly): A cancer registry study显示文摘 | Rosario Caruso Eleonora Irato Giovanni Branca Giuseppe Finocchiaro Francesco Fedele Alessia Arnese | 2014 | Oncology Letters2014，，3： | 1 |
| 4 | Influence of left ventricular mass, uremia and hypertension on vagal tachycardic reserve显示文摘 | Luca Mircoli Rodolfo Rivera Giuseppe Bonforte Luigi Fedele Simonetta Genovesi Maurizio Surian Alberto U Ferrari | 2003 | Journal of Hypertension2003，，8： | 1 |
| 5 | A new method to estimate a first-order plus time delay model from step response显示文摘 | Giuseppe Fedele | 2009 | Journal of the Franklin Institute2009，346，1： | 1 |
| 6 | A power electrical signal tracking strategy based on the modulating functions method显示文摘 | Giuseppe Fedele Ciro Pocardi | 2009 | IEEE Transactions on Industry Electronics2009，56，10： | 1 |
| 7 | Target Capturing in an Ellipsoidal Region for a Swarm of Double Integrator Agents显示文摘In this paper we focus on the target capturing problem for a swarm of agents modelled as double integrators in any finite space dimension.Each agent knows the relative position of the target and has only an estimation of its velocity and acceleration.Given that the estimation errors are bounded by some known values,it is possible to design a control law that ensures that agents enter a user-defined ellipsoidal ring around the moving target.Agents know the relative position of the other members whose distance is smaller than a common detection radius.Finally,in the case of no uncertainty about target data and homogeneous agents,we show how the swarm can reach a static configuration around the moving target.Some simulations are reported to show the effectiveness of the proposed strategy. | Antonio Bono Luigi D'Alfonso Giuseppe Fedele Veysel Gazi | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，5： | 0 |
| 8 | An experimental method to design porous asphalts to account for surface requirements显示文摘Porous asphalts have supplementary surface and volumetric properties(e.g., acoustic absorption, drain ability, texture, and friction). These properties are linked to intrinsic factors(e.g., gradation and bitumen content) and extrinsic factors(e.g., traffic load), while their evolution over time depends on complex phenomena and processes that cause their deterioration and therefore affect safety, noise, and budget. Despite the decay of so many and complex properties over time, there is a lack of criteria to synergistically optimize the pavement system. Consequently, the objective of this study is to set up and validate a design method that synergistically addresses the most relevant properties of friction courses as a part of a pavement structure. The abovementioned method is based on indepth analyses of the literature and on laboratory and on-site tests carried for several years in order to evaluate the decay over time of the main surface and volumetric properties.Results show that (1) the level of fulfilment of single requirements varies over time and among the characteristics;(2) a sound optimization of the design of the mix in order to balance the different characteristics is needed;(3) further studies are needed because of uncertainty in predicting the main surface properties. | Filippo G.Pratico Paolo G.Briante Giuseppe Colicchio Rosario Fedele | 2021 | Journal of Traffic and Transportation Engineering(English Edition)2021，8，3： | 0 |
| 9 | Molecular structure, pharmacokinetics and clinical evidence of brolucizumab: a narrative review显示文摘Macular neovascularization(MNV)is the hallmark of neovascular age-related macular degeneration(nAMD),one of the leading causes of vision loss in the developed world.The current MNV standard of care including frequent intravitreal anti-vascular endothelial growth factor(VEGF)injections,although has revolutionized favorably the treatment,places a substantial burden on patients,caregivers,and physicians.Brolucizumab is a newly developed single-chain antibody fragment that inhibits activation of VEGF receptor 2 with in vitro affinity and potency comparable to commercially-available anti-VEGF agents.Its small molecular weight and its design allow for high solubility and retinal tissue penetration,and improve binding affinity to the target.Also a high clearance rate leading to minimal systemic exposure was observed.Brolucizumab has shown similar gains in visual acuity compared with other anti-VEGF molecules but a higher and earlier resolution of nAMD related fluid,achieving sustained macular dryness with longer mantainance injection interval ranging from 8 to 12 weeks after monthly loading doses.Rare cases of ocular inflammation also including retinal vasculitis and retinal vascular occlusions referred to an immune-mediated reaction posed safety concerns on selected patients and mantainance treatment interval shorter than 8 weeks.The present review summarizes several key points including the molecular structure and pharmacokinetics,the preclinical and clinical evidence of brolucizumab administration evaluating its efficacy,tolerability,and safety,extended dosing regimens and other indications still under clinical investigation. | Francesco Pignatelli Alfredo Niro Fedele Passidomo Giuseppe Addabbo | 2021 | Annals of Eye Science2021，，4： | 0 |
| 10 | Autonomous Vehicle Platoons In Urban Road Networks:A Joint Distributed Reinforcement Learning and Model Predictive Control Approach显示文摘In this paper, platoons of autonomous vehicles operating in urban road networks are considered. From a methodological point of view, the problem of interest consists of formally characterizing vehicle state trajectory tubes by means of routing decisions complying with traffic congestion criteria. To this end, a novel distributed control architecture is conceived by taking advantage of two methodologies: deep reinforcement learning and model predictive control. On one hand, the routing decisions are obtained by using a distributed reinforcement learning algorithm that exploits available traffic data at each road junction. On the other hand, a bank of model predictive controllers is in charge of computing the more adequate control action for each involved vehicle. Such tasks are here combined into a single framework:the deep reinforcement learning output(action) is translated into a set-point to be tracked by the model predictive controller;conversely, the current vehicle position, resulting from the application of the control move, is exploited by the deep reinforcement learning unit for improving its reliability. The main novelty of the proposed solution lies in its hybrid nature: on one hand it fully exploits deep reinforcement learning capabilities for decisionmaking purposes;on the other hand, time-varying hard constraints are always satisfied during the dynamical platoon evolution imposed by the computed routing decisions. To efficiently evaluate the performance of the proposed control architecture, a co-design procedure, involving the SUMO and MATLAB platforms, is implemented so that complex operating environments can be used, and the information coming from road maps(links,junctions, obstacles, semaphores, etc.) and vehicle state trajectories can be shared and exchanged. Finally by considering as operating scenario a real entire city block and a platoon of eleven vehicles described by double-integrator models, several simulations have been performed with the aim to put in light the main f eatures of the proposed approach. Moreover, it is important to underline that in different operating scenarios the proposed reinforcement learning scheme is capable of significantly reducing traffic congestion phenomena when compared with well-reputed competitors. | Luigi D’Alfonso Francesco Giannini Giuseppe Franzè Giuseppe Fedele Francesco Pupo Giancarlo Fortino | 2024 | IEEE/CAA Journal of Automatica Sinica2024，11，1： | 0 |
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