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1

Di Traglia, Federico, Sonia Calvari, Luca D'Auria, Teresa Nolesini, Alessandro Bonaccorso, Alessandro Fornaciai, Antonietta Esposito, Antonio Cristaldi, Massimiliano Favalli et Nicola Casagli. « The 2014 Effusive Eruption at Stromboli : New Insights from In Situ and Remote-Sensing Measurements ». Remote Sensing 10, no 12 (14 décembre 2018) : 2035. http://dx.doi.org/10.3390/rs10122035.

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In situ and remote-sensing measurements have been used to characterize the run-up phase and the phenomena that occurred during the August–November 2014 flank eruption at Stromboli. Data comprise videos recorded by the visible and infrared camera network, ground displacement recorded by the permanent-sited Ku-band, Ground-Based Interferometric Synthetic Aperture Radar (GBInSAR) device, seismic signals (band 0.02–10 Hz), and high-resolution Digital Elevation Models (DEMs) reconstructed based on Light Detection and Ranging (LiDAR) data and tri-stereo PLEIADES-1 imagery. This work highlights the importance of considering data from in situ sensors and remote-sensing platforms in monitoring active volcanoes. Comparison of data from live-cams, tremor amplitude, localization of Very-Long-Period (VLP) source and amplitude of explosion quakes, and ground displacements recorded by GBInSAR in the crater terrace provide information about the eruptive activity, nowcasting the shift in eruptive style of explosive to effusive. At the same time, the landslide activity during the run-up and onset phases could be forecasted and tracked using the integration of data from the GBInSAR and the seismic landslide index. Finally, the use of airborne and space-borne DEMs permitted the detection of topographic changes induced by the eruptive activity, allowing for the estimation of a total volume of 3.07 ± 0.37 × 106 m3 of the 2014 lava flow field emplaced on the steep Sciara del Fuoco slope.
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Zhou, L., J. Guo et F. Yang. « DEFORMATION MONITORING AND ANALYSIS OF LSP LANDSLIDE BASED ON GBINSAR ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3 (2 mai 2018) : 2541–45. http://dx.doi.org/10.5194/isprs-archives-xlii-3-2541-2018.

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Monitoring and analyzing the deformation of the river landslide in city to master the deformation law of landslide, which is an important means of landslide safety assessment. In this paper, aiming at the stability of the Liu Sha Peninsula Landslide during its strengthening process after the landslide disaster. Continuous and high precision deformation monitoring of the landslide was carried out by GBInSAR technique. Meanwhile, the two-dimensional deformation time series pictures of the landslide body were retrieved by the time series analysis method. The deformation monitoring and analysis results show that the reinforcement belt on the landslide body was basically stable and the deformation of most PS points on the reinforcement belt was within 1 mm. The deformation of most areas on the landslide body was basically within 4 mm, and the deformation presented obvious nonlinear changes. GBInSAR technique can quickly and effectively obtain the entire deformation information of the river landslide and the evolution process of deformation.
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Calvari, Sonia, Federico Di Traglia, Gaetana Ganci, Flora Giudicepietro, Giovanni Macedonio, Annalisa Cappello, Teresa Nolesini et al. « Overflows and Pyroclastic Density Currents in March-April 2020 at Stromboli Volcano Detected by Remote Sensing and Seismic Monitoring Data ». Remote Sensing 12, no 18 (16 septembre 2020) : 3010. http://dx.doi.org/10.3390/rs12183010.

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Between 28 March and 1 April 2020, Stromboli volcano erupted, with overflows from the NE crater rim spreading along the barren Sciara del Fuoco slope and reaching the sea along the NW coast of the island. Poor weather conditions did not allow a detailed observation of the crater zone through the cameras monitoring network, but a clear view of the lower slope and the flows expanding in the area allowed us to characterize the flow features. This evidence was integrated with satellite, GBInSAR, and seismic data, thus enabling a reconstruction of the whole volcanic event, which involved several small collapses of the summit cone and the generation of pyroclastic density currents (PDCs) spreading along the slope and on the sea surface. Satellite monitoring allowed for the mapping of the lava flow field and the quantification of the erupted volume, and GBInSAR continuous measurements detected the crater widening and the deflation of the summit cone caused by the last overflow. The characterization of the seismicity made it possible to identify the signals that are associated with the propagation of PDCs along the volcano flank and, for the first time, to recognize the signal that is produced by the impact of the PDCs on the coast.
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Martino, S., et P. Mazzanti. « Integrating geomechanical surveys and remote sensing for sea cliff slope stability analysis : the Mt. Pucci case study (Italy) ». Natural Hazards and Earth System Sciences 14, no 4 (11 avril 2014) : 831–48. http://dx.doi.org/10.5194/nhess-14-831-2014.

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Abstract. An integrated approach to the geomechanical characterization of coastal sea cliffs was applied at Mt. Pucci (Gargano promontory, Southern Italy) by performing field-based geomechanical investigations and remote geostructural investigations via a terrestrial laser scanner (TLS). The consistency of the integrated techniques allowed to achieve a comprehensive and affordable characterization of the main joint sets on the sea cliff slope. The observed joint sets were considered to evaluate the proneness of the slope to rock failures by attributing safety factor (SF) values to the topple- and wedge-prone rock blocks under three combined or independent triggering conditions: (a) hydrostatic water pressures within the joints, (b) seismic action, and (c) strength reduction due to weathering of the joint surfaces. The combined action of weathering and water pressures within the joints was also considered, resulting in a significant decrease in the stability. Furthermore, remote survey analyses via InfraRed Thermography (IRT) and Ground Based Synthetic Aperture Radar Interferometry (GBInSAR) were performed to evaluate the role of the surveyed joint sets in inducing instabilities in the Mt. Pucci sea cliff. The results from the remote surveys: (i) GBInSAR monitoring revealed permanent displacements coupled to cyclic daily displacements, these last ones detected in certain sectors of the cliff wall; (ii) the thermal images allowed us to identify anomalies that correspond well to the main joints and to the slope material released due to recent collapses.
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Barla, Marco, Francesco Antolini, Davide Bertolo, Patrick Thuegaz, Davide D'Aria et Giovanni Amoroso. « Remote monitoring of the Comba Citrin landslide using discontinuous GBInSAR campaigns ». Engineering Geology 222 (mai 2017) : 111–23. http://dx.doi.org/10.1016/j.enggeo.2017.03.019.

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Pratesi, Fabio, Teresa Nolesini, Silvia Bianchini, Davide Leva, Luca Lombardi, Riccardo Fanti et Nicola Casagli. « Early Warning GBInSAR-Based Method for Monitoring Volterra (Tuscany, Italy) City Walls ». IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8, no 4 (avril 2015) : 1753–62. http://dx.doi.org/10.1109/jstars.2015.2402290.

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Romeo, Saverio, Lucio Di Matteo, Daniel Kieffer, Grazia Tosi, Aurelio Stoppini et Fabio Radicioni. « The Use of Gigapixel Photogrammetry for the Understanding of Landslide Processes in Alpine Terrain ». Geosciences 9, no 2 (21 février 2019) : 99. http://dx.doi.org/10.3390/geosciences9020099.

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The work in this paper illustrates an experimental application for geosciences by coupling new and low cost photogrammetric techniques: Gigapixel and Structure-from-Motion (SfM). Gigapixel photography is a digital image composed of billions of pixels (≥1000 megapixels) obtained from a conventional Digital single-lens reflex camera (DSLR), whereas the SfM technique obtains three-dimensional (3D) information from two-dimensional (2D) image sequences. The field test was carried out at the Ingelsberg slope (Bad Hofgastein, Austria), which hosts one of the most dangerous landslides in the Salzburg Land. The stereographic analysis carried out on the preliminary 3D model, integrated with Ground Based Synthetic Aperture Radar Interferometry (GBInSAR) data, allowed us to obtain the main fractures and discontinuities of the unstable rock mass.
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Nolesini, Teresa, Federico Di Traglia, Chiara Del Ventisette, Sandro Moretti et Nicola Casagli. « Deformations and slope instability on Stromboli volcano : Integration of GBInSAR data and analog modeling ». Geomorphology 180-181 (janvier 2013) : 242–54. http://dx.doi.org/10.1016/j.geomorph.2012.10.014.

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Del Ventisette, Chiara, Nicola Casagli, Joaquim Fortuny-Guasch et Dario Tarchi. « Ruinon landslide (Valfurva, Italy) activity in relation to rainfall by means of GBInSAR monitoring ». Landslides 9, no 4 (7 décembre 2011) : 497–509. http://dx.doi.org/10.1007/s10346-011-0307-3.

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Qiu, Zhiwei, Jianping Yue, Xueqin Wang et Shun Yue. « DEFORMATION MONITORING OF LARGE STRUCTURES BY GROUND-BASED SAR INTERFEROMETRY ». Boletim de Ciências Geodésicas 22, no 1 (mars 2016) : 35–53. http://dx.doi.org/10.1590/s1982-21702016000100003.

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In this paper, a ground-based SAR interferometry technology was used to monitor major enginerring. This technology has been recognized as a powerful tool for terrain monitoring and structural change detecting. Deformation monitoring for large project has been a hot issue among them. According to GBSAR interferometry principle and characteristics of IBIS system, the authors analysis the error sources of deformation monitoring, and experimentally extract atmospheric phase which should removed based on permanent scatterer analysis. Atmospheric disturbance effect analysis is discussed in this paper, and an atmospheric correction method is proposed to remove atmospheric effect, then the effective displacement can be retrieved. Results from this approach have been compared with that from traditional method in this campaign, GBInSAR technology can be exploited successfully in deformation monitoring for major projects with high accuracy 1-3.
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Romeo, Saverio, Daniel Scott Kieffer et Lucio Di Matteo. « The Ingelsberg landslide (Bad Hofgastein, Austria) : description and first results of monitoring system (GBInSAR technique) ». Rendiconti online della Società Geologica Italiana 32 (novembre 2014) : 24–27. http://dx.doi.org/10.3301/rol.2014.144.

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Szafarczyk, Anna. « Kinematics of mass phenomena on the example of an active landslide monitored using GPS and GBInSAR technology ». Journal of Applied Engineering Science 17, no 2 (2019) : 107–15. http://dx.doi.org/10.5937/jaes17-18748.

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Szafarczyk, Anna. « The review of observer-controlled factors ensuring the quality of radarometric images taken in GBInSAR technology and the methods of their verification ». Geoinformatica Polonica 16 (2017) : 139–48. http://dx.doi.org/10.4467/21995923gp.17.011.7742.

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Carlà, Tommaso, Veronica Tofani, Luca Lombardi, Federico Raspini, Silvia Bianchini, Davide Bertolo, Patrick Thuegaz et Nicola Casagli. « Combination of GNSS, satellite InSAR, and GBInSAR remote sensing monitoring to improve the understanding of a large landslide in high alpine environment ». Geomorphology 335 (juin 2019) : 62–75. http://dx.doi.org/10.1016/j.geomorph.2019.03.014.

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Giudicepietro, Flora, Sonia Calvari, Luca D’Auria, Federico Di Traglia, Lukas Layer, Giovanni Macedonio, Teresa Caputo et al. « Changes in the Eruptive Style of Stromboli Volcano before the 2019 Paroxysmal Phase Discovered through SOM Clustering of Seismo-Acoustic Features Compared with Camera Images and GBInSAR Data ». Remote Sensing 14, no 5 (6 mars 2022) : 1287. http://dx.doi.org/10.3390/rs14051287.

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Two paroxysmal explosions occurred at Stromboli on 3 July and 28 August 2019, the first of which caused the death of a young tourist. After the first paroxysm an effusive activity began from the summit vents and affected the NW flank of the island for the entire period between the two paroxysms. We carried out an unsupervised analysis of seismic and infrasonic data of Strombolian explosions over 10 months (15 November 2018–15 September 2019) using a Self-Organizing Map (SOM) neural network to recognize changes in the eruptive patterns of Stromboli that preceded the paroxysms. We used a dataset of 14,289 events. The SOM analysis identified three main clusters that showed different occurrences with time indicating a clear change in Stromboli’s eruptive style before the paroxysm of 3 July 2019. We compared the main clusters with the recordings of the fixed monitoring cameras and with the Ground-Based Interferometric Synthetic Aperture Radar measurements, and found that the clusters are associated with different types of Strombolian explosions and different deformation patterns of the summit area. Our findings provide new insights into Strombolian eruptive mechanisms and new perspectives to improve the monitoring of Stromboli and other open conduit volcanoes.
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Araújo, Joabe Lima, Gardênia Taveira Santos, Ruan Sousa Bastos, Francisco das Chagas Alves Lima et Jefferson Almeida Rocha. « Predição computacional de alvos moleculares de um complexo metálico de rutênio com epiisopiloturina e óxido nítrico ». Revista de Saúde 11, no 1 (16 juin 2020) : 42–48. http://dx.doi.org/10.21727/rs.v11i1.2197.

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A Leishmaniose é uma doença infecciosa que ocasiona a morte de 26.000 a 65.000 pessoas anualmente, estima-se que no ano de 2019 houve 700.000 a 1 milhão de novos casos. Estes dados são preocupantes e está relacionado à falta de saneamento básico que favorece a proliferação dos vetores, além da ausência de medicamentos eficientes com mecanismos de ação alternativos e com menos efeitos colaterais. Em meio a essa necessidade de novos agentes inibitórios, este estudo teve como objetivo realizar uma predição computacional de alvos moleculares de Leishmania para um complexo metálico de rutênio com epiisopiloturina e óxido nítrico (Epiruno2). O processo de docking molecular foi realizado empregando-se o software Autodock Tools (ADT) versão 1.5.6. As proteínas alvos foram consideradas rígidas, enquanto que o Epiruno2 foi considerado flexível. A glicoproteína GP63 (1lml) representa mais de 1% da proteína total do parasito tendo em vista que a 1lml é uma metaloprotease que predomina grupos funcionais em seu sítio ativo, torna-se um alvo atrativo em estudos de atividade inibitória. O docking molecular entre o Epiruno2 e a 1lml resultou na melhor conformação de encaixe deste estudo, com energia de Gbinda de -8,05 Kcal.mol-1 e uma constante de inibição de 1,26 µM. Também foi observada a formação de quatro pontes de hidrogênio, demonstrando ser um forte candidato a fármaco antileishmania. Concluindo-se que o composto epiruno2 é clinicamente atrativo para estudos experimentais futuros ex vivo, in vitro e in vivo, pois seus resultados in sílico apresentaram boas interações moleculares para todas as proteínas alvo deste estudo.
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Maltsev, D. V. « The folate-centric concept of pathogenesis and GBINC personalized multidisciplinary approach to the clinical management of children with neuropsychiatric syndromes. Review ». Ukrainian Neurological Journal, no 3—4 (19 décembre 2022) : 5–24. http://dx.doi.org/10.30978/unj2022-3-5.

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Solving the problem of children’s neuropsychiatric diseases is a priority task of modern medicine. The latest scientific achievements in the field of genetics, molecular biology and immunology, which demonstrate biochemical and immune‑dependent ways of formation of human neuropsychiatric disorders, shed light on the mechanisms of brain damage in children with ASD. These research give reason for optimism about overcoming this severe psychiatric pathology in the future thanks to the implementation of genetic, biochemical and immunodiagnostic approaches, as well as metabolic and immunotherapeutic interventions with neuroprotective effects. Currently, the folate‑centric concept of polygenic inheritance of predisposition to the development of neuropsychiatric syndromes in children with multisystem damage has been established. Biochemical and immune‑dependent (infectious, autoimmune, immunoinflammatory, and allergic) pathways of microbe‑induced autoimmune inflammatory encephalopathy with neuropsychiatric clinical manifestations are discussed in the context of the folate‑centric concept. Taking into account the new data, two personalized multidisciplinary approaches to the management of children with ASD and other neuropsychiatric syndromes are proposed. The first approach of J. J. Bradstreet et al. (2010) is based on the empirical analysis of a large group of laboratory biomarkers, the relevance of which has been demonstrated in clinical studies, and the targeted correction of abnormalities identified by biomarkers (so‑called biomarker‑guided interventions). In 2022, Frye R. developed a multidisciplinary personalized approach called BaS‑BiSTOR (collect Baseline data, search for Symptoms, measure Biomarkers, Select Treatment, Observe for Response), which systematizes and stratifies diagnostic and treatment interventions based on the assessment of biomarkers. In order to improve existing recommendations regarding specific subtypes of neuropsychiatric syndromes in children, this article proposes an improved personalized multidisciplinary approach to the clinical management of patients with autistic spectrum disorders and neuropsychiatric manifestations associated with genetic deficiency of the folate cycle, called GBINS (Genetic‑Biochemical‑Immunological‑Neurological‑Symptomatic evaluation). There are reasons to believe that the successful testing in clinical practice of evidence‑based personalized multidisciplinary diagnostic and treatment strategies will allow making a breakthrough in the clinical management of children with severe mental disorders in the near future, which will provide not only the possibility of recovery from a prognostically unfavorable and currently incurable neuropsychiatric disorder, but also and will contribute to stopping the large‑scale threatening epidemic of neuropsychiatric syndromes in the modern child population.
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Calvari, S., F. Di Traglia, G. Ganci, V. Bruno, F. Ciancitto, B. Di Lieto, S. Gambino et al. « Multi-parametric study of an eruptive phase comprising unrest, major explosions, crater failure, pyroclastic density currents and lava flows : Stromboli volcano, 1 December 2020–30 June 2021 ». Frontiers in Earth Science 10 (22 août 2022). http://dx.doi.org/10.3389/feart.2022.899635.

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Open conduit volcanoes like Stromboli can display elusive changes in activity before major eruptive events. Starting on December 2020, Stromboli volcano displayed an increasing eruptive activity, that on 19 May 2021 led to a crater-rim collapse, with pyroclastic density currents (PDCs) that spread along the barren NW flank, entered the sea and ran across it for more than 1 km. This episode was followed by lava flow output from the crater rim lasting a few hours, followed by another phase of lava flow in June 2021. These episodes are potentially very dangerous on island volcanoes since a landslide of hot material that turns into a pyroclastic density current and spreads on the sea surface can threaten mariners and coastal communities, as happened at Stromboli on 3 July and 28 August 2019. In addition, on entering the sea, if their volume is large enough, landslides may trigger tsunamis, as occurred at Stromboli on 30 December 2002. In this paper, we present an integration of multidisciplinary monitoring data, including thermal and visible camera images, ground deformation data gathered from GNSS, tilt, strainmeter and GBInSAR, seismicity, SO2 plume and CO2 ground fluxes and thermal data from the ground and satellite imagery, together with petrological analyses of the erupted products compared with samples from previous similar events. We aim at characterizing the preparatory phase of the volcano that began on December 2020 and led to the May–June 2021 eruptive activity, distinguishing this small intrusion of magma from the much greater 2019 eruptive phase, which was fed by gas-rich magma responsible for the paroxysmal explosive and effusive phases of July–August 2019. These complex eruption scenarios have important implications for hazard assessment and the lessons learned at Stromboli volcano may prove useful for other open conduit active basaltic volcanoes.
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