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Estimation of bioclimatic variables of Mongolia derived from remote sensing data

Frontiers of Earth Science 2022年第2期16卷 323-339页

作者： Munkhdulam OTGONBAYAR Clement ATZBERGER Erdenesukh SUMIYA Sainbayar DALANTAI Jonathan CHAMBERS Institute of Geography and Geoecology Mongolian Academy of Sciences(MAS)Ulaanbaatar 15170Mongolia Institute of Geomatics University of Natural Resources and Life Sciences(BOKU)Vienna 1190Austria School of Arts and Sciences National University of Mongolia(NUM)Ulaanbaatar 14201Mongolia cooperazione internazionale Milan 5020151Italy

Global maps of bioclimatic variables currently exist only at very coarse spatial resolution(***).For ecological studies requiring higher resolved information,this spatial resolution is often *** aim of this study is to estimate important bioclimatic variables of Mongolia from Earth Observation(EO)data at a higher spatial resolution of 1 *** analysis used two different satellite time series data sets:land surface temperature(LST)from Moderate Resolution Imaging Spectroradiometer(MODIS),and precipitation(P)from Climate Hazards Group Infrared Precipitation with Stations(CHIRPS).Monthly maximum,mean,and minimum air temperature were estimated from Terra MODIS satellite(collection 6)LST time series product using the random forest(RF)regression *** total precipitation data were obtained from CHIRPS version *** on this primary data,spatial maps of 19 bioclimatic variables at a spatial resolution of 1 km were generated,representing the period *** tested the relationship between estimated bioclimatic variables(SatClim)and WorldClim bioclimatic variables version 2.0(WorldClim)using determination coefficient(R^(2)),root mean square error(RMSE),and normalized root mean square error(nRMSE)and found overall good *** the set of 19 WorldClim bioclimatic variables,17 were estimated with a coefficient of determination(R^(2))higher than 0.7 and normalized RMSE(nRMSE)lower than 8%,confirming that the spatial pattern and value ranges can be retrieved from satellite data with much higher spatial resolution compared to *** the two bioclimatic variables related to temperature extremes(i.e.,annual mean diurnal range and isothermality)were modeled with only moderate accuracy(R^(2) of about 0.4 with nRMSE of about 11%).Generally,precipitation-related bioclimatic variables were closer correlated with WorldClim compared to temperature-related bioclimatic *** overall success of the modeling was attributed to the f

关键词： bioclimatic variables MODIS land surface temperature CHIRPS precipitation

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Temperature-and vacancy-concentration-dependence of heat transport in Li_(3)ClO from multi-method numerical simulations

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npj Computational Materials 2022年第1期8卷 197-205页

作者： Paolo Pegolo Stefano Baroni Federico Grasselli SISSA—Scuola internazionale Superiore di Studi Avanzati 34136TriesteItaly CNR-Istituto Officina dei Materiali SISSA34136TriesteItaly COSMO—Laboratory of Computational Science and Modelling IMXÉcole Polytechnique Fédérale de Lausanne1015LausanneSwitzerland

Despite governing heat management in any realistic device,the microscopic mechanisms of heat transport in all-solid-state electrolytes are poorly known:existing calculations,all based on simplistic semi-empirical models,are unreliable for superionic conductors and largely overestimate their thermal *** this work,we deploy a combination of state-of-the-art methods to calculate the thermal conductivity of a prototypical Li-ion conductor,the Li_(3)ClO *** leveraging ab initio,machine learning,and force-field descriptions of interatomic forces,we are able to reveal the massive role of anharmonic interactions and diffusive defects on the thermal conductivity and its temperature dependence,and to eventually embed their effects into a simple rationale which is likely applicable to a wide class of ionic conductors.

关键词： transport conductivity eventually

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Machine learning of superconducting critical temperature from Eliashberg theory

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npj Computational Materials 2022年第1期8卷 113-120页

作者： S.R.Xie Y.Quan A.C.Hire B.Deng J.M.DeStefano I.Salinas U.S.Shah L.Fanfarillo J.Lim J.Kim G.R.Stewart J.J.Hamlin P.J.Hirschfeld R.G.Hennig Department of Materials Science and Engineering University of FloridaGainesvilleFL32611USA Quantum Theory Project University of FloridaGainesvilleFL32611USA Department of Physics University of FloridaGainesvilleFL32611USA Scuola internazionale Superiore di Studi Avanzati(SISSA) Via Bonomea 26534136TriesteItaly

The Eliashberg theory of superconductivity accounts for the fundamental physics of conventional superconductors,including the retardation of the interaction and the Coulomb pseudopotential,to predict the critical temperature T_(c).McMillan,Allen,and Dynes derived approximate closed-form expressions for the critical temperature within this theory,which depends on the electron–phonon spectral functionα^(2)F(ω).Here we show that modern machine-learning techniques can substantially improve these formulae,accounting for more general shapes of theα^(2)F *** symbolic regression and the SISSO framework,together with a database of artificially generatedα^(2)F functions and numerical solutions of the Eliashberg equations,we derive a formula for T_(c)that performs as well as Allen–Dynes for low-T_(c)superconductors and substantially better for higher-T_(c)*** corrects the systematic underestimation of Tc while reproducing the physical constraints originally outlined by Allen and *** equation should replace the Allen–Dynes formula for the prediction of higher-temperature superconductors.

关键词： function. critical theory

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Hydrodynamic finite-size scaling of the thermal conductivity in glasses

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npj Computational Materials 2023年第1期9卷 696-706页

作者： Alfredo Fiorentino Paolo Pegolo Stefano Baroni SISSA—Scuola internazionale Superiore di Studi Avanzati 34136 TriesteItaly CNR-IOM—Istituto Officina Materiali SISSA Unit34136 TriesteItaly

In the past few years,the theory of thermal transport in amorphous solids has been substantially extended beyond the Allen-Feldman *** resulting formulation,based on the Green-Kubo linear response or the Wigner-transport equation,bridges this model for glasses with the traditional Boltzmann kinetic approach for *** computational effort required by these methods usually scales as the cube of the number of atoms,thus severely limiting the size range of computationally affordable glass *** hydrodynamic arguments,we show how this issue can be overcome through a simple formula to extrapolate a reliable estimate of the bulk thermal conductivity of glasses from finite models of moderate *** showcase our findings for realistic models of paradigmatic glassy materials.

关键词： glasses conductivity thermal

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Traumatic peroneal split lesion with retinaculum avulsion:Diagnosis and post-operative multymodality imaging

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World Journal of Radiology 2018年第5期10卷 46-51页

作者： Aldo Fischetti Jeries P Zawaideh Davide Orlandi Stefano Belfiore Enzo SIlvestri Department of Health Sciences (DISSAL) Radiology SectionUniversity of Genoa Radiology Department Ospedale Evangelico Internazionale Orthopedic and Trauma Department Ospedale Evangelico Internazionale

Tears of peroneus brevis tendon represent a cause of underdiagnosed lateral ankle pain and instability. The typical clinical presentation is retro-malleolar pain, in some cases associated with palpable swelling around the fibular malleolus, pain during activities and difficulty in walking. We present a case of peroneus brevis split lesion with superior peroneal retinaculum avulsion in a young athlete who referred to the emergency ward of our hospital for left ankle pain after an inversion injury. An early diagnosis allowed treating the injury and promptly resuming sport activity, after rehabilitation training. Surgical reconstruction key-points and postsurgical follow-up were also discussed. A late diagnosis would have caused a symptomatology worsening and an increased recovery time.

关键词： Multimodality imaging Tendon injuries Orthopedic surgery Sport medicine Ankle instability

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肩袖钙化性肌腱病变:经皮超声引导下单针或双针法治疗的随机比较

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国际医学放射学杂志 2018年第1期 94-95页

作者： D.Orlandi G.Mauri F.Lacelli A.Corazza C.Messina E.Silvestri 张俊峰 Department of Radiology Ospedale Evangelico Internazionale

摘要目的明确采用单针法或双针法是否会影响超声引导下经皮治疗肩袖钙化性肌腱病变病人的预后和疗效。材料与方法本前瞻性研究已获得病人知情同意和机构伦理委

关键词：超声引导下双针法单针法钙化性

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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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Non-intrusive data-driven ROM framework for hemodynamics problems

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Acta Mechanica Sinica 2021年第7期37卷 1183-1191,I0003页

作者： M.Girfoglio L.Scandurra F.Ballarin G.Infantino F.Nicolo A.Montalto G.Rozza R.Scrofani M.Comisso F.Musumeci Area di Matematica mathLabSISSAScuola Internazionale Superiore di Studi AvanzatiTriesteItaly Modelli Matematici e Simulazioni Numeriche Collegio di Ingegneria MatematicaPolitecnico di TorinoTorinoItaly Unit Operativa Complessa di Cardiochirurgia e Chirurgia dei Trapianti Azienda Ospedaliera San CamilloRomeItaly Dipartimento di Cardiochirurgia Azienda Ospedaliera FBF Luigi SaccoMilanItaly

Reduced order modeling(ROM)techniques are numerical methods that approximate the solution of parametric partial differential equation(PED)by properly combining the high-fidelity solutions of the problem obtained for several configurations,*** several properly chosen values of the physical/geometrical parameters characterizing the *** starting from a database of high-fidelity solutions related to a certain values of the parameters,we apply the proper orthogonal decomposition with interpolation(PODI)and then reconstruct the variables of interest for new values of the parameters,*** values from the ones included in the ***,we present a preliminary web application through which one can run the ROM with a very user-friendly approach,without the need of having expertise in the numerical analysis and scientific computing *** case study we have chosen to test the efficiency of our algorithm is represented by the aortic blood flow pattern in presence of a left ventricular(LVAD)assist device when varying the pump flow rate.

关键词： Non intrusive model reduction Data-driven techniques Hemodynamics LVAD Web computing

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A systematic approach to generating accurate neural network potentials:the case of carbon

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npj Computational Materials 2021年第1期7卷 463-475页

作者： Yusuf Shaidu Emine Küçükbenli Ruggero Lot Franco Pellegrini Efthimios Kaxiras Stefano de Gironcoli Scuola internazionale Superiore di Studi Avanzati TriesteItaly The Abdus Salam International Centre for Theoretical Physics TriesteItaly John A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridgeMAUSA Laboratoire de Physique de l’École Normale Supérieure UniversitéPSLCNRSSorbonne UniversitéUniversitéde ParisParisFrance Department of Physics Harvard UniversityCambridgeMAUSA CNR-IOM DEMOCRITOS Istituto Officina dei MaterialiTriesteItaly

Availability of affordable and widely applicable interatomic potentials is the key needed to unlock the riches of modern materials *** neural network-based approaches for generating potentials are promising;however,neural network training requires large amounts of data,sampled adequately from an often unknown potential energy *** we propose a selfconsistent approach that is based on crystal structure prediction formalism and is guided by unsupervised data analysis,to construct an accurate,inexpensive,and transferable artificial neural network *** this approach,we construct an interatomic potential for carbon and demonstrate its ability to reproduce first principles results on elastic and vibrational properties for diamond,graphite,and graphene,as well as energy ordering and structural properties of a wide range of crystalline and amorphous phases.

关键词： neural artificial network

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Biomechanics in"Sino-Italian Joint"

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Acta Mechanica Sinica 2021年第2期37卷 169-172页

作者： Jizeng Wang Xiqiao Feng Paolo Bisegna Antonio DeSimone Key Laboratory of Mechanics on Disaster and Environment in Western China The Ministry of EducationCollege of Civil Engineering and MechanicsLanzhou UniversityLanzhou 730000China Institute of Biomechanics and Medical Engineering Department of Engineering MechanicsTsinghua UniversityBeijing 100084China Department of Civil Engineering and Computer Science University of Rome Tor Vergata00133 RomeItaly Department of Excellence in Robotics and AI The Biorobotics InstituteScuola Superiore Sant'Anna56127 PisaItaly SISSA-Scuola internazionale Superiore di Studi Avanzati 34136 TriesteItaly

As originally proposed by professor Alberto Corigliano of Politecnico di Milano and professor Jizeng Wang of Lanzhou University,the Chinese Society of Theoretical and Applied Mechanics(CSTAM)and the Italian Association for Theoretical and Applied Mechanics(AIMETA)signed a memorandum of understanding on strengthening exchange and cooperation between mechanics scholars of the two countries in January,2018,officially opening the activities of bilateral academic exchange.

关键词： Italian strengthening CSTA

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