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Together We Stand-Analyzing Schooling Behavior in Naive Newborn Guppies through Biorobotic Predators

Journal of Bionic Engineering 2020年第1期17卷 174-184页

作者： Donato Romano Hadeel Elayan Giovanni Benelli cesare Stefanini The BioRobotics Institute Sant'Anna School of Advanced StudiesPontederaPisa 56025Italy Healthcare Engineering Innovation Center(HEIC) Khalifa UniversityAbu DhabiPO Box 127788United Arab Emirates Department of Excellence in Robotics&A.I. Sant'Anna School of Advanced StudiesPisa 56127Italy Department of Electrical and Computer Engineering University of TorontoON M5SCanada Department of Agriculture Food and EnvironmentUniversity of PisaPisa 56124Italy

A major advantage of animal aggregations concerns cooperative antipredator *** behavior emerges earlier in many fish species,especially in those cannibalizing their *** is fundamental for developing schooling ***,the cognitive ability of naive newborn fish to aggregate remains ***,Poecilia reticulata,was selected as model organism to investigate how combinations of biomimetic robotic agents and adult conspecific olfactory cues affect collective responses in *** role of white and brown backgrounds in evoking aggregations was also *** cues were sufficient for triggering aggregations in *** newborns,although robotic agents had a higher influence on the group *** combination of robotic agents and olfactory cues increased schooling behavior ***,schooling was longer in the escape compartment when robotic agents were presented,except for the combination of the male-mimicking robotic fish plus adult guppy olfactory cues,with longer schooling behavior in the exploring *** of the tested cues,newborn fish aggregated preferentially on the brown areas of the ***,this research provides novel insights on the early collective cognitive ability of newborn fish,paving the way to the use of biomimetic robots in behavioral ecology experiments,as substitutes for real predators.

关键词： animal-robot interaction technology bio-hybrid intelligent systems antipredator strategy group behavior Poecilia reticulata

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Deep learning for time series forecasting:The electric load case

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CAAI Transactions on Intelligence Technology 2022年第1期7卷 1-25页

作者： Alberto Gasparin Slobodan Lukovic cesare Alippi Faculty of Informatics Universitàdella Svizzera ItalianaLuganoSwitzerland Department of Electronics Informationand BioengineeringPolitecnico di MilanoMilanItaly

Management and efficient operations in critical infrastructures such as smart grids take huge advantage of accurate power load forecasting,which,due to its non-linear nature,remains a challenging ***,deep learning has emerged in the machine learning field achieving impressive performance in a vast range of tasks,from image classification to machine *** of deep learning models to the electric load forecasting problem are gaining interest among researchers as well as the industry,but a comprehensive and sound comparison among different-also traditional-architectures is not yet available in the *** work aims at filling the gap by reviewing and experimentally evaluating four real world datasets on the most recent trends in electric load forecasting,by contrasting deep learning architectures on short-term forecast(oneday-ahead prediction).Specifically,the focus is on feedforward and recurrent neural networks,sequence-to-sequence models and temporal convolutional neural networks along with architectural variants,which are known in the signal processing community but are novel to the load forecasting one.

关键词： deep learning electric load forecasting multi-step ahead forecasting smart grid time-series prediction

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DICE:An open-source MATLAB application for quantification and parametrization of digital outcrop model-based fracture datasets

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Journal of Rock Mechanics and Geotechnical Engineering 2023年第5期15卷 1090-1110页

作者： Niccolò Menegoni Daniele Giordan Riccardo Inama cesare Perotti Department of Earth and Environmental Sciences University of PaviaPavia27100Italy National Research Council of Italy Research Institute for Geo-Hydrological Protection(CNR-IRPI)Torino10135Italy Signal S.r.l. Via Fratelli Cuzio 42Pavia27100Italy

An open-source MATLAB application(app)named Discontinuity Intensity Calculator and Estimator(DICE)was developed in order to quantitatively characterize the fractures,or in more general,discontinuities within a rocky outcrop in three-dimensional(3D)digital data,such as digital outcrop model(DOM).The workflow proposed for the parametrization of the discontinuities consists of the following steps:(1)Analysis and mapping of the fractures detected within the 3D DOMs;(2)Calculation of the orientation,position and dimensions of discontinuities that are represented by best-fit circular planes;(3)Determining the discontinuity parameters(dimension,distribution,spacing and intensity)by the DICE algorithm using different 3D oriented sampling techniques(3D oriented scanline,3D oriented circular scan window and spherical scan volume).Different sampling methods were bench tested with a synthetic,as well as a natural case study,and compared in order to understand the advantages and limitations of each *** 3D oriented circular scan window appears to be the most effective method for fracture intensity estimation with high accuracy(error 0.4%)and stability with variations in scan radius.

关键词： Fracture parameter Discontinuity Fault Fracture intensity Linear fracture intensity(P10) Areal fracture intensity(P21) Volumetric fracture intensity(P32)

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Precise Agriculture:Effective Deep Learning Strategies to Detect Pest Insects

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IEEE/CAA Journal of Automatica Sinica 2022年第2期9卷 246-258页

作者： Luca Butera Alberto Ferrante Mauro Jermini Mauro Prevostini cesare Alippi Universitàdella Svizzera italiana Faculty of InformaticsLugano 6900Switzerland Agroscope Research Centre CadenazzoCadenazzo 6594Switzerland IEEE

Pest insect monitoring and control is crucial to ensure a safe and profitable crop growth in all plantation types,as well as guarantee food quality and limited use of *** aim at extending traditional monitoring by means of traps,by involving the general public in reporting the presence of insects by using *** includes the largely unexplored problem of detecting insects in images that are taken in noncontrolled ***,pest insects are,in many cases,extremely similar to other species that are ***,computer vision algorithms must not be fooled by these similar insects,not to raise unmotivated *** this work,we study the capabilities of state-of-the-art(SoA)object detection models based on convolutional neural networks(CNN)for the task of detecting beetle-like pest insects on nonhomogeneous images taken outdoors by different ***,we focus on disambiguating a pest insect from similar harmless *** consider not only detection performance of different models,but also required computational *** study aims at providing a baseline model for this kind of *** results show the suitability of current SoA models for this application,highlighting how FasterRCNN with a MobileNetV3 backbone is a particularly good starting point for accuracy and inference execution *** combination provided a mean average precision score of 92.66%that can be considered qualitatively at least as good as the score obtained by other authors that adopted more specific models.

关键词： Computer vision machine learning neural network pest insect pest monitoring Popillia japonica precise agriculture

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Dimethyl ether as circular hydrogen carrier:Catalytic aspects of hydrogenation/dehydrogenation steps

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Journal of Energy Chemistry 2021年第7期30卷 55-77页

作者： Enrico Catizzone cesare Freda Giacobbe Braccio Francesco Frusteri Giuseppe Bonura ENEA–Italian Agency for New Technologies Department of Energetic TechnologiesLaboratory of Thermochemical Processes for Waste and Biomass ValorisationRotondellaItaly CNR-ITAE–Consiglio Nazionale delle Ricerche Istituto di Tecnologie Avanzate per l’Energia‘‘Nicola Giordano”Via S.Lucia Sopra Contesse 5I-98126 MessinaItaly

The intermittent nature of renewable resources requires for most applications the development of efficient and cost-effective technologies for steady supply of electrical *** storage of energy in the form of hydrogen chemically bound within organic molecules(rather than physically as compressed gas or cooled liquid)represents an alternative approach that is attracting great research *** to other liquid organic hydrogen carriers(LOHCs),dimethyl ether(DME)appears to have the largest potential impact on society,especially if inserted in technological chains of CO_(2) sequestration and utilization,so to determine an effective mitigation of environmental issues,without any net effect on the carbon ***,the steps of H2 storage and H2 release can take place in two coupled chemical processes,constituted by the exothermic synthesis of DME via CO_(2) hydrogenation and the endothermic steam reforming of DME,***,the latest advances in the development of heterogeneous bifunctional and hybrid catalysts for the direct hydrogenation of CO_(2) to DME are thoroughly reviewed,with special emphasis on thermodynamics,catalyst design and process *** many aspects behind the mechanism of DME synthesis from H2-CO_(2) streams are still to be uncovered,the recent progress in the research on H2 release by DME steam reforming is increasing the interest for effectively closing this binary H2 loop,in view of future green deals and sustainable research developments.

关键词： DME CO_(2)hydrogenation Steam Reforming Hybrid catalysts Hydrogen carrier

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Viscosity in water from first-principles and deep-neural-network simulations

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npj Computational Materials 2022年第1期8卷 1318-1327页

作者： cesare Malosso Linfeng Zhang Roberto Car Stefano Baroni Davide Tisi SISSA—Scuola Internazionale Superiore di Studi Avanzati 34136TriesteItaly Program in Applied and Computational Mathematics Princeton UniversityPrincetonNJ08544USA DP Technology Beijing100080PR China Department of Chemistry Department of Physicsand Princeton Institute for the Science and Technology of MaterialsPrinceton UniversityPrincetonNJUSA CNR Istituto Officina dei Materiali SISSA Unit34136TriesteItaly

We report on an extensive study of the viscosity of liquid water at near-ambient conditions,performed within the Green-Kubo theory of linear response and equilibrium ab initio molecular dynamics(AIMD),based on density-functional theory(DFT).In order to cope with the long simulation times necessary to achieve an acceptable statistical accuracy,our ab initio approach is enhanced with deep-neural-network potentials(NNP).This approach is first validated against AIMD results,obtained by using the Perdew–Burke–Ernzerhof(PBE)exchange-correlation functional and paying careful attention to crucial,yet often overlooked,aspects of the statistical data ***,we train a second NNP to a dataset generated from the Strongly Constrained and Appropriately Normed(SCAN)*** the error resulting from the imperfect prediction of the melting line is offset by referring the simulated temperature to the theoretical melting one,our SCAN predictions of the shear viscosity of water are in very good agreement with experiments.

关键词： viscosity Strongly ambient

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Neurorestoration from medicinal plants:an opportunity to treat painful neuropathies

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Neural Regeneration Research 2017年第3期12卷 403-404页

作者： Lorenzo Di cesare Mannelli Carla Ghelardini Department of Neuroscience PsychologyDrug Research and Child Health-NEUROFARBA-Pharmacology and Toxicology SectionUniversity of FlorenceFlorenceItaly

Neuropathic pain originates from damages to the somatosensory nervous system（IASP-International Association for the Study of Pain-taxonomy）.Lesions（traumas,compression,iatrogenic and pharmacological causes）or dise... 详细信息

关键词： Neurorestoration from medicinal plants:an opportunity to treat painful neuropathies EFSA

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How toxic are gold nanoparticles？ The state-of-the-art

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Nano Research 2015年第6期8卷 1771-1799页

作者： Ilaria Fratoddi Iole Venditti cesare cametti Maria Vittoria Russo Dipartimento di Chimica Universita' di Roma 'La Sapienza' Piazzale A. Moro 5 1-00185 Rome Italy Dipartimento di Fisica and INFM CNR-SOFT Universita' di Roma 'La Sapienza' Piazzale A. Moro 51-00185 Rome Italy

With the growing interest in the applications of gold nanoparticles in biotechnology and their physiological effects, possible toxicity of gold nanoparticles is becoming an increasingly important issue. A large number of studies carried out over the past few years under a variety of experimental conditions and following different protocols have produced conflicting results, leading to divergent views about the actual safety of gold nanoparticles in human applications. This work is intended to provide an overview of the most recent experimental results and thereby summarize current state-of-the-art. Rather than presenting a comprehensive review of the available literature in this field, which would be impractically broad, we have selected representative examples of both in vivo and in vitro studies, which clearly demonstrate the need for urgent and rigorous standardization of experimental protocols. Despite their significant potential, the safety of gold nanoparticles is highly controversial at this time, and important concerns have been raised that need to be properly addressed. Factors such as shape, size, surface charge, coating, and surface functionalization are expected to influence the interactions of particles with biological systems to a different extent, resulting in different outcomes and influencing the potential of gold nanoparticles for biomedical applications. Moreover, despite continuous attempts to establish a correlation between structure of the particles and their interactions with biological systems, we are still far from elucidating the toxicological profile of gold nanoparticles in an indisputable manner. This review is intended to contribute towards this goal, offering a number of suggestions on how to achieve the systematization of data on the most relevant physico-chemical parameters, which govern and control the toxicity of ~old nanot^articles at cellular and whole-organism levels.

关键词： gold nanoparticles nanospheres nanorods nanocages nanostars toxicity

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Three-Dimensional Fluid-Structure Interaction Case Study on Cubical Fluid Cavity with Flexible Bottom

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Journal of Marine Science and Application 2017年第4期16卷 382-394页

作者： Stefano Ghelardi cesare Rizzo Diego Villa DITEN - Polo Navale Università degli Studi di Genova via Montallegro Genova 1 I-16145 Italy

In this paper, we report our study on a numerical fluid-structure interaction problem originally presented by Mok et al.(2001) in two dimensions and later studied in three dimensions by Valdés Vazquez(2007), Lombardi(2012), and Trimarchi(2012). We focus on a 3D test case in which we evaluated the sensitivity of several input parameters on the fluid and structural results. In particular, this analysis provides a starting point from which we can look deeper into specific aspects of these simulations and analyze more realistic cases, e.g., in sails design. In this study, using the commercial software ADINATM, we addressed a well-known unsteadiness problem comprising a square box representing the fluid domain with a flexible bottom modeled with structural shell elements. We compared data from previously published work whose authors used the same numerical approach, i.e., a partitioned approach coupling a finite volume solver(for the fluid domain) and a finite element solver(for the solid domain). Specifically, we established several benchmarks and made comparisons with respect to fluid and solid meshes, structural element types, and structural damping, as well as solution algorithms. Moreover, we compared our method with a monolithic finite element solution method. Our comparisons of new and old results provide an outline of best practices for such simulations.

关键词： fluid-structure interaction benchmark finite volume method finite element method partitioned monolithic ADINA^(TM)

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The AMS measurement of ^236U at CIRCE

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Nuclear Science and Techniques 2017年第7期28卷 47-51页

作者： Yong-Jing Guan Hui-Juan Wang Mario De cesare Filippo Terrasi Guangxi Key Laboratory for Relativistic Astrophysics School of Physical Science & Technology Guangxi University Nanning 530004 China Department of Diagnostic Methodologies and Measurement Techniques Italian Aerospace Research Centre (CIRA) 81043 Capua (CE) Italy INFN 80126 Naples Italy CIRCE Department of Mathematic and Physics Ⅱ University of Naples 81100 Caserta Italy

Accelerator mass spectrometry(AMS) is an ultrasensitive technique for measuring long-lived actinides,e.g.,^(236)U,^(237)Np and Pu *** order to improve the detection limit for actinides abundance,and to increase the detection efficiency in actinides AMS measurement,a 16-strip silicon detector was used to identify actinides at the Center for Isotopic Research on Cultural and Environmental heritage in Caserta,*** sensitivity of ^(236)U/^(238)U was 1×10^(-11) by special resolution and 5.0×10^(-12) by time *** pulse height defect of^(236)U in an ion-implanted silicon detector in the low-energy range with 17.26 MeV is presented.

关键词： AMS 测量锕系元素钚同位素硅探测器加速器质谱时间分辨率元素丰度

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