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Autonomous Vehicle Platoons In Urban Road Networks:A Joint Distributed Reinforcement Learning and Model Predictive Control Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 141-156页

作者： Luigi D’Alfonso francesco Giannini Giuseppe Franzè Giuseppe Fedele francesco Pupo Giancarlo Fortino IEEE the Department of Computer Engineering ModelingElectronics and SystemsUniversitàdella CalabriaVia Pietro BucciCubo 42-CRende(CS)87036Italy the Department of Mechanical Engineering Energy Engineering and ManagementUniversitàdella CalabriaVia Pietro BucciCubo 42-CRende(CS)87036Italy

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 a

关键词： Distributed model predictive control distributed reinforcement learning routing decisions urban road networks

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Impact characterization on thin structures using machine learning approaches

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Chinese Journal of Aeronautics 2024年第2期37卷 30-44页

作者： Flavio DIPIETRANGELO francesco NICASSIO Gennaro SCARSELLI Department of Engineering for Innovation University of SalentoLecce 73100Italy

Machine learning algorithms are trained and compared to identify and to characterise the impact on typical aerospace panels of different *** activities are conducted to build a proper impacts’*** regression algorithm and artificial neural network are applied and optimised to panels without stringer to test their capability to identify the ***,the algorithms are applied to panels reinforced with stringers that represent a significant increase of complexity in terms of dynamic features of the system to test:the focus is not only on the impact position’s detection but also on the event’s *** the identification of the best algorithm,the corresponding machine learning model is deployed on an ARM processor minicomputer,implementing an impact detection system,able to be installed on board an aerial vehicle,making it a smart aircraft equipped with an artificial intelligence decision-making system.

关键词： Artificial neural network Impact localisation Machine learning Polynomial regression Structural health monitoring

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Impact of cattle density on the structure and natural regeneration of a turkey oak stand on an agrosilvopastoral farm in central Italy

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Journal of Forestry Research 2024年第1期35卷 168-182页

作者： Alessandra Pacini francesco Pelleri francesco Marini Alberto Maltoni Barbara Mariotti Gianluigi Mazza Maria Chiara Manetti Department of Agriculture FoodEnvironmentand ForestryUniversity of Florence50144 FlorenceItaly CREA Research Centre for Forestry and Wood 52100 ArezzoItaly PEFC Programme for the Endorsement of Forest Certification 06135 PerugiaItaly

On an agrosilvopastoral farm in central Italy where Maremmana cattle graze in Turkey oak forests,we evaluated the impact of different livestock densities on stand structure,tree diversity and natural regeneration in four types of grazed areas based on the grazing regime adopted:calf-grazed,high-intensity-grazed,low-intensity-grazed,ungrazed *** each area,we set up three permanent circular plots(radius of 15 m)to survey the structural and dasometric characteristics of the overstorey,understorey,and regeneration *** results showed that grazing negatively affected the complexity of the forest structure and its potential to regenerate and maintain a high level of *** differences in stand structure observed between the grazing areas were closely related to livestock *** most sensitive components of the system were the understorey and the regeneration ***,the current grazing management did not affect the dominant tree structure or its *** findings identified medium-term monitoring and regeneration management as the two significant aspects to consider when assessing sustainable *** forests can be established by excluding graz-ing for about 20–25 years.

关键词： Agroforestry Stand structure Regeneration Tree biodiversity Grazing intensity

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Increasing realism in modelling energy losses in railway vehicles and their impact to energy-efficient train control

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Railway Engineering Science 2024年第3期32卷 257-285页

作者： Michael Nold francesco Corman Institute for Transport Planning and Systems ETH ZürichZürichSwitzerland

The reduction of energy consumption is an increasingly important topic of the railway ***-efficient train control(EETC)is one solution,which refers to mathematically computing when to accelerate,which cruising speed to hold,how long one should coast over a suitable space,and when to *** approaches in literature and industry greatly simplify a lot of nonlinear effects,such that they ignore mostly the losses due to energy conversion in traction components and *** fill this research gap,a series of increasingly detailed nonlinear losses is described and *** categorize an increasing detail in this representation as four *** study the impact of those levels of detail on the energy optimal speed *** do this,a standard approach based on dynamic programming is used,given constraints on total travel *** evaluation of multiple test cases highlights the influence of the dynamic losses and the power consumption of auxiliary components on railway trajectories,also compared to multiple *** results show how the losses can make up 50%of the total energy consumption for an exemplary *** them would though result in consistent but limited errors in the optimal ***,more complex trajectories can result in less energy consumption when including the complexity of nonlinear losses than when a simpler model is *** effects are stronger when the trajectory includes many acceleration and braking phases.

关键词： Train trajectory optimization Energy-efficient train control(EETC) Dynamic efficiency Power losses in railway vehicles

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Polymerization of 1,3-Butadiene with Catalysts Based on Cobalt Dichloride Complexes with Aminophosphines: Switching the Regioselectivity by Varying the MAO/Co Molar Ratio

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Chinese Journal of Polymer Science 2024年第4期42卷 501-510页

作者： Giovanni Ricci Anna Sommazzi francesco Masi Alessandra Forni CNR-Istituto di Scienze e Tecnologie Molecolari“Giulio Natta”(SCITEC) via A.Corti 1220133MilanoItaly Viale Giovanni XXIII 34 I-28100NovaraNOItaly Via Galvani 7 I-26866Sant’Angelo LodigianoLOItaly CNR-Istituto di Scienze e Tecnologie Molecolari“Giulio Natta”(SCITEC) via C.Golgi 1920133MilanoItaly

Several novel cobalt dichloride complexes with amino-phosphine bidentate ligands were synthesized and *** some of them single crystals were obtained and their molecular structure was determined by X-ray diffraction *** the complexes were then used in combination with MAO for the polymerization of 1,3-butadiene,obtaining polymers with different structures(i.e.,predominantly 1,2 or cis-1,4)mainly depending on the type of ligand and on the MAO/Co molar *** behavior of these novel catalysts was compared with that exhibited,in the polymerization of the same monomer,by the systems CoCl_(2)(PR3)2-MAO and CoCl_(2)(PRPh2)2-MAO(R=alkyl or cycloalkyl group),and by the systems based on cobalt dichloride complexes with various bi-and tridentate ligands(e.g.,diphosphines,bis-imines,pyridyl-imines,bis-iminopyridines).The comparison between the different systems allowed us to make some clarity about the actual and effective role played by the various types of ligands in the polymerization of conjugated dienes with catalytic systems CoCl_(2)(L)-MAO,in which L=mono-,bi-,or tri-dentate ligand.

关键词： 1,3-Butadiene Stereospecific polymerization Cobalt catalysts Regioselectivity Aminophosphine ligands Crystal structures Chelate rings

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Suffocated shoots:Hypoxia-induced synthesis of salicylic acid inhibits plant regeneration

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Molecular Plant 2024年第4期17卷 528-530页

作者： Ximena Chirinos francesco Licausi Department of Biology University of OxfordSouth Parks RoadOxford OX13RBUK

Plant cells possess the unique ability to revert differentiated somatic cells back to a pluripotent state,a trait utilized in in vitro tissue *** plant propagation strategy involves the exogenous supplementation of auxin and cytokinin,two phytohormones that promote cellular reprogramming and de novo *** exposed to an auxin-rich medium,somatic cells proliferate and form the callus,a pluripotent cell *** the attainment of pluripotency,the callus can be transferred to a cytokinin-rich medium to induce shoot regeneration.

关键词： plant synthesis transferred

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Impact of apolipoprotein E isoforms on sporadic Alzheimer's disease:beyond the role of amyloid beta

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Neural Regeneration Research 2024年第1期19卷 80-83页

作者： Madia Lozupone francesco Panza Neurodegenerative Disease Unit Department of Basic MedicineNeuroscienceand Sense OrgansUniversity of Bari Aldo MoroBariItaly Unit of Research Methodology and Data Sciences for Population Health National Institute of Gastroenterology“Saverio de Bellis”Research HospitalCastellana GrotteBariItaly

The impact of apolipoprotein E(ApoE)isoforms on sporadic Alzheimer's disease has long been studied;however,the influences of apolipoprotein E gene(APOE)on healthy and pathological human brains are not fully *** exists as three common isoforms(ApoE2,ApoE3,and ApoE4),which differ in two amino acid ***,ApoE binds cholesterol and phospholipids and ApoE isoforms display diffe rent affinities for their receptors,lipids transport and distribution in the brain and *** role of ApoE in the human depends on ApoE isoforms,brain regions,aging,and neural *** E4 is the strongest genetic risk factor for sporadic Alzheimer's disease,considering its role in influencing amyloid-beta *** exact mechanisms by which APOE gene variants may increase or decrease Alzheimer's disease risk are not fully understood,but APOE was also known to affect directly and indirectly tau-mediated neurodegeneration,lipids metabolism,neurovascular unit,and microglial *** with the biological function of ApoE,ApoE4 isoform significantly alte red signaling pathways associated with cholesterol homeostasis,transport,and ***,the rare protective APOE variants confirm that ApoE plays an important role in Alzheimer's disease *** objectives of the present mini-review were to describe classical and new roles of various ApoE isoforms in Alzheimer's disease pathophysiology beyond the deposition of amyloid-beta and to establish a functional link between APOE,brain function,and memory,from a molecular to a clinical *** genotype also exerted a heterogeneous effect on clinical Alzheimer's disease phenotype and its *** only in learning and memory but also in neuro psychiatric symptoms that occur in a premorbid *** rifying the relationships between Alzheimer's disease-related pathology with neuropsychiatric symptoms,particularly suicidal ideation in Alzheimer's disease patients,may be useful for elucid

关键词： Alzheimer's disease amyloid-beta apolipoprotein E dementia glymphatic transport lipids neuropsychiatric symptoms neurovascular unit tau protein

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Pin-on-disc tribological characterization of single ingredients used in a brake pad friction material

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Friction 2024年第11期12卷 2576-2593页

作者： Davide CARLEVARIS francesco VARRIALE Jens WAHLSTRÖM Cinzia MENAPACE Department of Industrial Engineering University of TrentoTrento 38123Italy Brembo S.p.A StezzanoBergamo 24040Italy Department of Mechanical Engineering Sciences Lund UniversityLund 22100Sweden

Researchers have long been studying the effects of the modification of friction material compositions on their tribological *** models have also been developed,but they are of limited use in the design of new ***,this research aims to investigate the tribological behaviour of single ingredients in friction materials to develop a tribological *** dataset could then be used as a foundation for a cellular automaton(CA)predictive model,intended to be a tool for designing friction *** samples were almost entirely composed of four distinct friction material ingredients,and one sample composed of their mixture was successfully ***-on-disc(PoD)tribometer testing and scanning electron microscopy/energy-dispersive X-ray spectroscopy(SEM/EDXS)analysis were used for the tribological *** material showed distinct tribological properties and evolution of the contact surface features,and the synergistic effect of their mutual interaction was also demonstrated by their mixture.

关键词： disc brakes sliding contact wear behaviour scanning electron microscopy(SEM) modelling

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Pulsed electromagnetic field stimulation enhances neurite outgrowth in neural cells and modulates inflammation in macrophages

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Engineered Regeneration 2024年第1期5卷 80-91页

作者： francesco Fontana Andrea Cafarelli francesco Iacoponi Soria Gasparini Tiziano Pratellesi Abigail NKoppes Leonardo Ricotti The BioRobotics Institute Scuola Superiore Sant’Anna56127 PisaItaly Department of Excellence in Robotics&AI Scuola Superiore Sant’Anna56127 PisaItaly BAC Technology s.r.l. 50063 FlorenceItaly Department of Chemical Engineering Northeastern UniversityBostonMA 02115USA Department of Bioengineering Northeastern UniversityBostonMA 02115USA Department of Biology Northeastern UniversityBostonMA 02115USA

Nerve regeneration following traumas remains an unmet *** application of pulsed electromagnetic field(PEMF)stimulation has gained traction for a minimally invasive regeneration of ***,a sys-tematic exploration of different PEMF parameters influencing neuron function at a cellular level is not *** this study,we exposed neuroblastoma F11 cells to PEMF to trigger beneficial effects on neurite *** carrier frequencies,pulse repetition frequencies,and duty cycles were screened with a custom ad hoc setup to find the most influential parameters values.A carrier frequency of 13.5 MHz,a pulse repetition frequency of 20 Hz,and a duty cycle of 10%allowed maximal neurite outgrowth,with unaltered viability with respect to non-stimulated ***,in a longer-term analysis,such optimal conditions were also able to in-crease the gene expression of neuronal expression markers NeuN and Tuj-1 and transcription factor ***,the same optimal stimulation conditions were also applied to THP-1 macrophages,and both pro-inflammatory(TNF-α,IL-1β,IL-6,IL-8)and anti-inflammatory cytokines(IL-10,CD206)were *** optimal PEMF stimulation parameters did not induce differentiation towards an M1 macrophage phenotype,decreased IL-1β and IL-8 gene expression,decreased TNF-α and IL-8 cytokine release in M1-differentiated cells,increased IL-10 and CD206 gene expression,as well as IL-10 cytokine release in M0 *** specific PEMF stimulation regime,which is optimal in vitro,might have a high potential for a future in vivo translation targeting neural regeneration and anti-inflammatory action for treating peripheral nerve injuries.

关键词： Nerve regeneration Biophysical stimulation Pulsed electromagnetic fields(PEMF) Neurite outgrowth Anti-inflammatory Peripheral nerve injuries

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Deep Learning for Financial Time Series Prediction:A State-of-the-Art Review of Standalone and HybridModels

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 187-224页

作者： Weisi Chen Walayat Hussain francesco Cauteruccio Xu Zhang School of Software Engineering Xiamen University of TechnologyXiamen361024China Peter Faber Business School Australian Catholic UniversityNorth Sydney2060Australia Department of Information Engineering Polytechnic University of MarcheAncona60121Italy

Financial time series prediction,whether for classification or regression,has been a heated research topic over the last *** traditional machine learning algorithms have experienced mediocre results,deep learning has largely contributed to the elevation of the prediction ***,the most up-to-date review of advanced machine learning techniques for financial time series prediction is still lacking,making it challenging for finance domain experts and relevant practitioners to determine which model potentially performs better,what techniques and components are involved,and how themodel can be designed and *** review article provides an overview of techniques,components and frameworks for financial time series prediction,with an emphasis on state-of-the-art deep learning models in the literature from2015 to 2023,including standalonemodels like convolutional neural networks(CNN)that are capable of extracting spatial dependencies within data,and long short-term memory(LSTM)that is designed for handling temporal dependencies;and hybrid models integrating CNN,LSTM,attention mechanism(AM)and other *** illustration and comparison purposes,models proposed in recent studies are mapped to relevant elements of a generalized framework comprised of input,output,feature extraction,prediction,and related *** the state-of-the-artmodels,hybrid models like CNNLSTMand CNN-LSTM-AM in general have been reported superior in performance to stand-alone models like the CNN-only *** remaining challenges have been discussed,including non-friendliness for finance domain experts,delayed prediction,domain knowledge negligence,lack of standards,and inability of real-time and highfrequency *** principal contributions of this paper are to provide a one-stop guide for both academia and industry to review,compare and summarize technologies and recent advances in this area,to facilitate smooth and informed implementation,and t

关键词： Financial time series prediction convolutional neural network long short-term memory deep learning attention mechanism finance

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