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Rayleigh waves from correlation of seismic noise in Great Island of Tierra del Fuego,Argentina:Constraints on upper crustal structure

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Geodesy and Geodynamics 2018年第1期9卷 2-12页

作者： Carolina Buffoni Martin Schimmel Nora Cristina Sabbione María laura rosa Gerardo Connon Faculty of Astronomical and Geophysical Sciences National University of La PlataPaseo Del Bosque Sin B1900F WAArgentina Institute of Earth SciencesJaume Almera-CSIC Lluis SoléSabarfs S/n Barcelona E-08028Spain Astronomical Station of Rio Grande(EARG) Ruta C y Acceso Aeropuerto9420EARRfo GrandeArgentina National Scientific and Technical Research Council(CONICET) Av.Rivadavia 1917 C1033AAJAutonomous City of Buenos AiresArgentina

In this study, the ambient seismic noise cross-correlation technique is applied to estimate the upper structure of the crust beneath Great Island of Tierra del Fuego（TdF）, Argentina, by the analysis of shortperiod Rayleigh wave group velocities. The island, situated in the southernmost South America, is a key area of investigation among the interaction between the South American and Scotia plates and is considered as a very seismically active one. Through cross-correlating the vertical components of ambient seismic noise registered at four broadband stations in TdF, we were able to extract Rayleigh waves which were used to estimate group velocities in the period band of 2.5-16 s using a timefrequency analysis. Although ambient noise sources are distributed in homogeneously, robust empirical Green＇s functions could be recovered from the cross-correlation of 12 months of ambient noise, The observed group velocities were inverted considering a non-linear iterative damped least-squares inversion procedure and several 1-D shear wave velocity models of the upper crust were *** to the inversion results, the S-wave velocity ranges between 1.75 and 3,7 km/s in the first10 km of crust, depending on the pair of stations considered. These results are in agreement to the major known surface and sub-surface geological and tectonic features known in the area. This study represents the first ambient seismic noise analysis in TdF in order to constraint the upper crust beneath this *** can also be considered as a successful feasibility study for future analyses with a denser station deployment for a more detailed imaging of structure.

关键词： Ambient seismic noise cross-correlation Rayleigh wave dispersion Upper crust Tierra del Fuego

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Energy Security in the European Union

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Journal of Energy and Power Engineering 2012年第3期6卷 379-386页

作者： laura Rodrlguez-Fernandez rosa Maria Fernandez-Martin Department of Applied Economics Spanish Open University （UNED） Madrid 28040 Spain

According to the European Commission, the three challenges that Europe must face related to energy are sustainability, security of supply and reaching an effective competitiveness in the internal energy market. To meet these three challenges, the Commission deems necessary to implement a common energy policy. To this end, it proposed an action plan based on the effective creation of an internal energy market, the solidarity between Member States and security of supply for oil, gas and electricity, Therefore energy security is one of the main concerns, and so one of the priorities, of the new European energy policy proposed by the Commission. This paper tries to show that even though energy has been on the basis of what we call today European Union, it has been extremely complicated to get a common energy policy. Bearing this in mind, energy security has been one of the main areas of consensus that has led EU to the mentioned Commission proposal, and we can see now the first steps of the so much wanted common energy policy.

关键词： Energy energy policy European Union energy security security of supply.

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Applications of artificial intelligence in lung ultrasound:Review of deep learning methods for COVID-19 fighting

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Artificial Intelligence in Medical Imaging 2022年第2期3卷 42-54页

作者： laura De rosa Serena L'Abbate Claudia Kusmic Francesco Faita Institute of Clinical Physiology Consiglio Nazionale delle RicerchePisa 56124Italy

BACKGROUND The pandemic outbreak of the novel coronavirus disease(COVID-19)has highlighted the need to combine rapid,non-invasive and widely accessible techniques with the least risk of patient’s cross-infection to achieve a successful early detection and surveillance of the *** this regard,the lung ultrasound(LUS)technique has been proved invaluable in both the differential diagnosis and the follow-up of COVID-19 patients,and its potential may be destined to ***,indeed,LUS has been empowered through the development of automated image processing *** To provide a systematic review of the application of artificial intelligence(AI)technology in medical LUS analysis of COVID-19 patients using the preferred reporting items of systematic reviews and meta-analysis(PRISMA)*** A literature search was performed for relevant studies published from March 2020-outbreak of the pandemic-to 30 September *** articles were included in the result synthesis of this *** As part of the review,we presented the main characteristics related to AI techniques,in particular deep learning(DL),adopted in the selected articles.A survey was carried out on the type of architectures used,availability of the source code,network weights and open access datasets,use of data augmentation,use of the transfer learning strategy,type of input data and training/test datasets,and *** Finally,this review highlighted the existing challenges,including the lack of large datasets of reliable COVID-19-based LUS images to test the effectiveness of DL methods and the ethical/regulatory issues associated with the adoption of automated systems in real clinical scenarios.

关键词： Lung ultrasound Deep learning Neural network COVID-19 pneumonia Medical imaging

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Addition of phenolic compounds to bread: antioxidant benefits and impact on food structure and sensory characteristics

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Food Production, Processing and Nutrition 2021年第1期3卷 314-325页

作者： Yesica A.Czajkowska–González Emilio Alvarez–Parrilla Nina del Rocío Martínez–Ruiz Alma A.Vázquez–Flores Marcela Gaytán–Martínez laura Ade la rosa Departament of Chemical Biological Sciences Institute of Biomedical SciencesUniversidad Autónoma de Ciudad JuárezAnillo Envolvente del PRONAF y Estocolmos/nC.P.32310 Cd.JuárezMéxico Programa de Posgrado en Alimentos del Centro de la República(PROPAC) Research and Graduate Studies in Food ScienceSchool of ChemistryUniversidad Autónoma de QuerétaroCentro UniversitarioCerro de las Campanas S/NC.P.76010 Santiago de QuerétaroMexico

The use of flours or phenolic extracts obtained from non-traditional sources or agri-food industry by-products has been a strategy used to formulate new bakery products with characteristics of a functional ***,phenolic compounds present great structural diversity,as well as the ability to interact in a complex way with the macromolecules that constitute the bread ***,the addition of these flours,extracts or pure compounds produces various effects on the microstructure of bread,and several of its sensory *** is mainly due to interactions between phenolic compounds and gluten *** objective of this review is to analyze some of the most recent published works on the addition of phenolic compounds in wheat bread to identify the type of positive and negative effects that have been observed and how they can be related to the physicochemical interactions between phenolic compounds and the macromolecules that constitute the food matrix,mainly *** effect of monomeric and polymeric phenolic compounds on the strength of these interactions and on the properties of dough and bread are discussed.

关键词： condensed tannins hydrolysable tannins phenolic acids gluten food rheology food texture protein-phenolic interactions disulfide bonds non-covalent interactions

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