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城市环境设计 2012年第6期 238-241页

作者： Eldine Heep Ming Yin Tan Cristina Perez Guillen leonardo micolta Javen Ho Jonathan Leijonhufvud 思邦建筑设计

思邦设计的位于重庆的灵动会所已向公众开放。该会所是思邦设计的位于重庆市郊大型别墅片区的系列休闲设施的第一个组成部分。除去面积达5500m2的会所之外,思邦整体的规划构想还包括一个面积达12000m2的酒店以及一条面积达13000m2的室... 详细信息

思邦设计的位于重庆的灵动会所已向公众开放。该会所是思邦设计的位于重庆市郊大型别墅片区的系列休闲设施的第一个组成部分。除去面积达5500m2的会所之外,思邦整体的规划构想还包括一个面积达12000m2的酒店以及一条面积达13000m2的室外商业街,这两个部分将于2013年初完工。

关键词：会所重庆酒店片区大堂主入口南山

Assessment of compressive strength of jet grouting by machine learning

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 102-111页

作者： Esteban Diaz Edgar leonardo Salamanca-Medina Roberto Tomas Departamento de Ingeniería Civil Escuela Politécnica SuperiorUniversidad de AlicanteP.O.Box 99E-03080AlicanteSpain

Jet grouting is one of the most popular soil improvement techniques,but its design usually involves great uncertainties that can lead to economic cost overruns in construction *** high dispersion in the properties of the improved material leads to designers assuming a conservative,arbitrary and unjustified strength,which is even sometimes subjected to the results of the test *** present paper presents an approach for prediction of the uniaxial compressive strength(UCS)of jet grouting columns based on the analysis of several machine learning algorithms on a database of 854 results mainly collected from different research *** selected machine learning model(extremely randomized trees)relates the soil type and various parameters of the technique to the value of the compressive *** the complex mechanism that surrounds the jet grouting process,evidenced by the high dispersion and low correlation of the variables studied,the trained model allows to optimally predict the values of compressive strength with a significant improvement with respect to the existing ***,this work proposes for the first time a reliable and easily applicable approach for estimation of the compressive strength of jet grouting columns.

关键词： Jet grouting Ground improvement Compressive strength Machine learning

Assistive Robotics for Upper Limb Physical Rehabilitation:A Systematic Review and Future Prospects

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Chinese Journal of Mechanical Engineering 2024年第4期37卷 50-73页

作者： Andrés Guatibonza leonardo Solaque Alexandra Velasco Lina Peñuela Department of Engineering Mechatronics EngineeringMilitar Nueva Granada UniversityBogotá1101111Colombia

Physical assistive robotics are oriented to support and improve functional capacities of *** physical rehabilitation,robots are indeed useful for functional recovery of affected ***,there are still open questions related to technological *** work presents a systematic review of upper limb rehabilitation robotics in order to analyze and establish technological challenges and future directions in this area.A bibliometric analysis was performed for the systematic literature *** from the last six years,conducted between August 2020 and May 2021,was *** methodology for the literature search and a bibliometric analysis of the metadata are *** a preliminary search resulted in 820 articles,a total of 66 articles were included.A concurrency network and bibliographic analysis were *** an analysis of occurrences,taxonomy,and rehabilitation robotics reported in the literature is *** review aims to provide to the scientific community an overview of the state of the art in assistive robotics for upper limb physical *** literature analysis allows access to a gap of unexplored options to define the technological prospects applied to upper limb physical rehabilitation robotics.

关键词： Upper limb Rehabilitation Assistive robotics Human-machine interaction Robotic systems Virtual reality Rehabilitation monitoring

Is tuberous sclerosis complex-associated autism a preventable andtreatabledisorder?

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World Journal of Pediatrics 2024年第1期20卷 40-53页

作者： Paolo Curatolo Mirte Scheper leonardo Emberti Gialloreti Nicola Specchio Eleonora Aronica Child Neurology and Psychiatry Unit Systems Medicine DepartmentTor Vergata UniversityRomeItaly Department of Neuropathology Amsterdam NeuroscienceAmsterdam UMC Location University of AmsterdamAmsterdamTheNetherlands Department of Biomedicine and Prevention University of Rome Tor VergataVia Montpellier 100133 RomeItaly Clinical and Experimental Neurology Bambino Gesù Children's HospitalIRCCSFull Member of European ReferenceNetworkEpiCAREPiazza S.Onofrio400165 RomeItaly Stichting Epilepsie Instellingen Nederland(SEIN) HeemstedeAmsterdamThe Netherlands

Background Tuberous sclerosis complex(TSC)is a genetic disorder caused by inactivating mutations in the TSCl and TSC2 genes,causing overactivation of the mechanistic(previously referred to as mammalian)target of rapamycin(mTOR)signaling pathway in fetal *** mTOR pathway plays a crucial role in several brain processes leading to TSC-related epilepsy,intellectual disability,and autism spectrum disorder(ASD).Pre-natal or early post-natal diagnosis of TSC is now possible in a growing number of pre-symptomatic *** sources We searched PubMed for peer-reviewed publications published between January 2010 and April 2023 with the terms“tuberous sclerosis",“autism",or“autism spectrum disorder""animal models",“preclinical studies",“neurobiology",and“treatment".Results Prospective studies have highlighted that developmental trajectories in TSC infants who were later diagnosed with ASD already show motor,visual and social communication skills in the first year of life *** genetic,cellular,electroencephalography and magnetic resonance imaging biomarkers can identify pre-symptomatic TSC infants at high risk for having autism and *** Preventing epilepsy or improving therapy for seizures associated with prompt and tailored treatment strategies for autism in a sensitive developmental time window could have the potential to mitigate autistic symptoms in infants with TSC.

关键词： Animal model-Autism spectrum disorders Developmental and epileptic encephalopathy Mechanisms mTOR Risk Tuberos sclerosis complex

Stochastic seismic inversion and Bayesian facies classification applied to porosity modeling and igneous rock identification

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Petroleum Science 2024年第2期21卷 918-935页

作者： Fábio Júnior Damasceno Fernandes leonardo Teixeira Antonio Fernando Menezes Freire Wagner Moreira Lupinacci Exploratory Interpretation and Reservoir Characterization Group(GIECAR) Department of Geology and GeophysicsFederal Fluminense UniversityNiter oiRJ24210-346Brazil Petrobras Rio de JaneiroRJ20231-030Brazil National Institute of Science and Technology of Petroleum Geophysics(INCT-GP/CNPQ) Niter oiRJ24210-346Brazil

We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1,reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.

关键词： Stochastic inversion Bayesian classification Porosity modeling Carbonate reservoirs Igneous rocks

Unravelling the ion transport and the interphase properties of a mixed olivine cathode for Na-ion battery

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Journal of Energy Chemistry 2024年第9期96卷 300-317页

作者： Luca Minnetti leonardo Sbrascini Antunes Staffolani Vittorio Marangon Francesco Nobili Jusef Hassoun School of Sciences and Technologies–Chemistry Division University of CamerinoVia Madonna delle Carceri ChIP62032 CamerinoItaly Current affiliation:University of Bologna Department of Chemistry“Giacomo Ciamician”Via Francesco Selmi 240126 BolognaItaly Graphene Labs Istituto Italiano di Tecnologiavia Morego 30Genoa 16163Italy Department of Chemical Pharmaceutical and Agricultural SciencesUniversity of FerraraVia Fossato di Mortara 1744121 FerraraItaly GISEL−Centro di Riferimento Nazionale per i Sistemi di Accumulo Elettrochimico di Energia INSTMFirenze 50121Italy National Interuniversity Consortium of Materials Science and Technology(INSTM)University of Ferrara Research Unit University of FerraraVia Fossato di Mortara1744121 FerraraItaly

The replacement of Li by Na in an analogue battery to the commercial Li-ion one appears a sustainable strategy to overcome the several concerns triggered by the increased demand for the electrochemical energy ***,the apparently simple change of the alkali metal represents a challenging step which requires notable and dedicated ***,we investigate herein the features of a NaFe_(0.6)Mn_(0.4)PO_(4)(NFMP)cathode with triphylite structure achieved from the conversion of a LiFe_(0.6)Mn_(0.4)PO_(4)(LFMP)olivine for application in Na-ion *** work initially characterizes the structure,morphology and performances in sodium cell of NFMP,achieving a maximum capacity exceeding 100 mAh g^(−1)at a temperature of 55℃,adequate rate capability,and suitable retention confirmed by ex-situ ***,the study compares in parallel key parameters of the NFMP and LFMP such as Na^(+)/Li^(+)ions diffusion,interfacial characteristics,and reaction mechanism in Na/Li cells using various electrochemical *** data reveal that relatively limited modifications of NFMP chemistry,structure and morphology compared to LFMP greatly impact the reaction mechanism,kinetics and electrochemical *** changes are ascribed to the different physical and chemical features of the two compounds,the slower mobility of Na^(+)with respect to Li^(+),and a more resistive electrode/electrolyte interphase of sodium compared with ***,the study reveals analogue trends of the charge transfer resistance and the ion diffusion coefficient in NFMP and LFMP during the electrochemical process in ***,the NFMP achieved herein is suggested as a possible candidate for application in a low-cost,efficient,and environmentally friendly Na-ion battery.

关键词： NaFe_(0.6)Mn_(0.4)PO_(4)NFMP Olivine Na-ion lon transport Interphase

Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： leonardo Goliatt C.M.Saporetti L.C.Oliveira E.Pereira Department of Computational and Applied Mechanics Federal University of Juiz de ForaJuiz de ForaBrazil Department of Computational Modeling Polytechnic InstituteRio de Janeiro State UniversityNova FriburgoBrazil Petrobras Rio de JaneiroBrazil Department of Stratigraphy and Paleontology Rio de Janeiro State UniversityRio de JaneiroBrazil

Rock samples'TOC content is the best indicator of the organic matter in source *** origin rock samples’analysis is used to calculate it manually by *** method requires time and resources because it relies on samples from many well intervals in source ***,research has been done to aid this *** learning algorithms can estimate total organic carbon instead of well logs and stratigraphic *** light of these efforts,the current work present a study on automating the total organic carbon estimation using machine learning approaches improved by an evolutionary methodology to give the model flexibility and *** algorithms,differential evolution,particle swarm optimization,grey wolf optimization,artificial bee colony,and evolution strategies were used to improve machine learning models to predict *** six metaheuristics were integrated into four machine learning methods:extreme learning machine,elastic net linear model,linear support vector regression,and multivariate adaptive regression *** samples from the YuDong-Nan shale gas field,located in the Sichuan basin,were used to evaluate the hybrid *** findings show that combining machine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict *** results show that,independent of the metaheuristic used to guide the model selection,optimized extreme learning machines attained the best performance scores according to six *** hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated machine learning Evolutionary algorithms Geology

Characterization of Arroyo Verde Epithermal Deposit:Paragenesis,Mineral Geochemistry,Geochronology and Fluid Inclusions in Lower Chon Aike Volcanism,Argentina

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Journal of Earth Science 2024年第1期35卷 62-84页

作者： Cecilia Pavón Pivetta leonardo Benedini Paulo Marcos Ma.Agustina Cócola Mercedes Virginia Barros Daniel Gregori leonardo Strazzere Anderson Costa dos Santos Mauro C.Geraldes Instituto Geologico del Sur(INGEOSUR) Universidad Nacional del Sur(UNS)-Consejo Nacional de Investigaciones Cientificas y Tecnicas(CONICET)Bahia Blanca 8000Argentina Dpto.de Geologia Universidad Nacional del Sur(UNS)Bahia Blanca 8000Argentina Universidad Nacional de Rio Negro Instituto de Investigacion en Paleobiologia y GeologiaGeneral Roca 8332Argentina Universidade do Estado do Rio de Janeiro Faculdade de GeologiaDepartamento de Mineralogia e Petrologia igneaRiodeJaneiro20559-900Brazil Geobiotec Departamento de GeocienciasUniversidade de AveiroAveiro 3800-002Portuga

Arroyo Verde epithermal deposit,in the North Patagonia region of Argentina,is located within the Lower Chon Aike volcanism and is developed between 192.6±2.5 Ma(mineralization host rock)and 189.5±2.6 Ma(overlying lava).Marifil volcanic complex is the host rock for these veins,veinlets and *** particular small deposit has developed low to intermediate sulphidation characteristics,with gangue mineral textures associated with several ore *** probe microanalysis determines electrum,silver minerals such as acanthite,and tetrahedrite,related Ag-Cu minerals like jalpaite,mckinstryite,stromeyerite,and base metals like chalcopyrite,sphalerite,galena and *** inclusions in quartz of two out of five events indicate that these Low Jurassic veins were formed due to subtle boiling and dilution mechanisms and by low-salinity(3.4 wt.%to 6.7 wt.%NaCl Eq)magmatic-hydrothermal fluid at 225 to 310℃.The fluid inclusion measurements that indicate boiling(Event 3)were plotted,and based on this data,we interpret that the Arroyo Verde deposit has been eroded between 550 and 700 *** particular character has not been previously recorded for other sectors of the eastern north Patagonian region.

关键词： epithermal deposit Ag minerals mineral geochemistry fluid inclusions Chon Aike geochronology

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