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  • Electron microscopy  (1,196)
  • 04. Solid Earth::04.08. Volcanology::04.08.08. Volcanic risk
  • Angiosperms
  • Evolution
  • InSAR
  • Oceanographic instrumentation
  • Stromboli
  • Springer  (2,580)
  • American Geophysical Union  (54)
  • AGU  (25)
  • MDPI - Multidisciplinary Digital Publishing Institute  (24)
  • Springer Berlin Heidelberg  (15)
  • Pensoft Publishers  (6)
  • Taylor & Francis  (6)
  • Agu
  • Institute of Physics
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  • 11
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    Xenopus (2022)
    Taylor & Francis | CRC Press
    Details
    Publication Date: 2024-04-05
    Description: This book focuses on the amphibian, Xenopus, one of the most commonly used model animals in the biological sciences. Over the past 50 years, the use of Xenopus has made possible many fundamental contributions to our knowledge in cell biology, developmental biology, molecular biology, and neurobiology. In recent years, with the completion of the genome sequence of the main two species and the application of genome editing techniques, Xenopus has emerged as a powerful system to study fundamental disease mechanisms and test treatment possibilities. Xenopus has proven an essential vertebrate model system for understanding fundamental cell and developmental biological mechanisms, for applying fundamental knowledge to pathological processes, for deciphering the function of human disease genes, and for understanding genome evolution. Key Features Provides historical context of the contributions of the model system Includes contributions from an international team of leading scholars Presents topics spanning cell biology, developmental biology, genomics, and disease model Describes recent experimental advances Incorporates richly illustrated diagrams and color images Related Titles Green, S. L. The Laboratory Xenopus sp. (ISBN 978-1-4200-9109-0) Faber, J. & P. D. Nieuwkoop. Normal Table of Xenopus laevis (Daudin): A Systematical & Chronological Survey of the Development from the Fertilized Egg till the End of Metamorphosis (ISBN 978-0-8153-1896-5) Jarret, R. L. & K. McCluskey. The Biological Resources of Model Organisms (ISBN 978-1-0320-9095-5)
    Keywords: Developmental biology ; Genetics (non-medical) ; Evolution ; Ecological science, the Biosphere ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSC Developmental biology ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAJ Evolution ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere
    Language: English
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  • 12
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    Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-30
    Description: Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computational intelligence is used for medical screening where the detection of disease symptoms is carried out, in prevention monitoring to detect suspicious behavior, in agriculture systems to help with growing plants and animal breeding, in transportation systems for the control of incoming and outgoing transportation, for unmanned vehicles to detect obstacles and avoid collisions, in optics and materials for the detection of surface damage, etc. In many cases, we use developed techniques which help us to recognize some special features. In the context of this innovative research on computational intelligence, the Special Issue “Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments” present an excellent opportunity for the dissemination of recent results and achievements for further innovations and development. It is my pleasure to present this collection of excellent contributions to the research community. - Prof. Marcin Woźniak, Silesian University of Technology, Poland –
    Keywords: Traffic sign detection and tracking (TSDR) ; advanced driver assistance system (ADAS) ; computer vision ; 3D convolutional neural networks ; machine learning ; CT brain ; brain hemorrhage ; visual inspection ; one-class classifier ; grow-when-required neural network ; evolving connectionist systems ; automatic design ; bio-inspired techniques ; artificial bee colony ; image analysis ; feature extraction ; ship classification ; marine systems ; citrus ; pests and diseases identification ; convolutional neural network ; parameter efficiency ; vehicle detection ; YOLOv2 ; focal loss ; anchor box ; multi-scale ; deep learning ; neural network ; generative adversarial network ; synthetic images ; tool wear monitoring ; superalloy tool ; image recognition ; object detection ; UAV imagery ; vehicular traffic flow detection ; vehicular traffic flow classification ; vehicular traffic congestion ; video classification ; benchmark ; semantic segmentation ; atrous convolution ; spatial pooling ; ship radiated noise ; underwater acoustics ; surface electromyography (sEMG) ; convolution neural networks (CNNs) ; hand gesture recognition ; fabric defect ; mixed kernels ; cross-scale ; cascaded center-ness ; deformable localization ; continuous casting ; surface defects ; 3D imaging ; defect detection ; object detector ; object tracking ; activity measure ; Yolo ; deep sort ; Hungarian algorithm ; optical flows ; spatiotemporal interest points ; sports scene ; CT images ; convolutional neural networks ; hepatic cancer ; visual question answering ; three-dimensional (3D) vision ; reinforcement learning ; human–robot interaction ; few shot learning ; SVM ; CNN ; cascade classifier ; video surveillance ; RFI ; artefacts ; InSAR ; image processing ; pixel convolution ; thresholding ; nearest neighbor filtering ; data acquisition ; augmented reality ; pose estimation ; industrial environments ; information retriever sensor ; multi-hop reasoning ; evidence chains ; complex search request ; high-speed trains ; hunting ; non-stationary ; feature fusion ; multi-sensor fusion ; unmanned aerial vehicles ; drone detection ; UAV detection ; visual detection ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
    Language: English
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  • 13
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    Earth Observation (EO), Remote Sensing (RS), and Geoinformation (GI) Applications in Svalbard (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-28
    Description: Earth observation (EO), remote sensing (RS), and geoinformation (GI) technologies play a critical role in the study of Svalbard's environment, providing insights into the region's changes and supporting decision-making processes. This reprint presents a comprehensive overview of the applications of EO and RS technologies in Svalbard, covering a wide range of topics related to the environment. It includes contributions from leading experts in the field, providing insights into the current state of the art and future directions for research. The reprint starts by introducing the status of EO and RS in Svalbard, providing a solid foundation for readers new to the field. It then delves into specific applications of these technologies, including the monitoring of glaciers, snow cover, and permafrost using ground-, space-, and air-based RS platforms. Overall, this book aims to provide a comprehensive overview of the applications of EO and RS technologies in Svalbard, highlighting their importance in understanding and addressing the challenges faced by the region. It will be a valuable resource for researchers, students, policymakers, and practitioners in the fields of environmental science, geography, and remote sensing.
    Keywords: snow cover ; remote sensing ; sea ice variability ; vegetation growth ; arctic climate change ; Arctic aerosol ; aerosol transport ; aged aerosol ; aerosol modification ; aerosol optical properties ; aerosol microphysical properties ; aerosol remote sensing ; microphysical inversion ; aerosol radiative effect ; Arctic radiative budget ; earth observation ; COVID-19 ; Svalbard ; earth system science ; SIOS ; polar regions ; snow modelling ; MODIS ; Sentinel-2 ; permafrost ; active layer ; InSAR ; time series ; ground displacement ; ground temperature ; displacement progression ; thaw progression ; Arctic ; NDVI ; time-series ; onset of growth ; classifier ; disturbance ; drone ; ecological monitoring ; GLCM ; herbivore ; random forest ; winter climate effect ; grubbing ; Arctic clouds ; cirrus clouds ; ice clouds ; lidar ; ocean eddies ; marginal ice zone ; sea ice ; SAR imaging ; Fram Strait ; Greenland Sea ; Hopen Island ; Arctic Ocean ; tidewater glaciers ; surface elevation changes ; glacier geometry ; structure-from-motion ; terrestrial laser scanning ; digital elevation model ; ICESat-2 ; laser altimetry ; kinematic GPS experiments ; glaciology ; surge glaciers ; svalbard ; density dimension algorithm for ice surfaces ; airborne validation of satellite data ; lake ice ; Sentinel-1 ; water temperature ; glacier facies ; atmospheric correction ; pansharpening ; WorldView-2 ; Ny-Ålesund ; Chandra–Bhaga basin ; target detection ; supervised classification ; Sentinel-1 and Sentinel-2 ; time series analysis ; snow melt ; tundra ; plant phenology ; ice cover ; Antarctic ; spectral reflectance ; hyperspectral data ; ocean colour ; coastal darkening ; SPM ; sediment plumes ; Arctic coast ; regional tuning ; coastal ecosystems ; land-ocean-interaction ; riverine inputs ; geographic object-based image analysis ; glacier surface facies ; surface facies of glaciers ; pixel-based image analysis ; atmospheric corrections ; image processing routines ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
    Language: English
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  • 14
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    Landslides in Forests around the World (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-28
    Description: This reprint, named “Landslides in Forests around the World: Causes and Mitigation”, covers various topics, such as the impact mechanism of tree roots on landslide stability, landslide deformation monitoring, landslide disaster prevention and control engineering technology, the automatic identification of regional landslides, susceptibility and hazard assessment, and a rainfall-induced mass landslide warning.
    Keywords: shallow landslide ; probability of occurrence ; typhoon ; data-driven model ; Ningguo City ; landslide susceptibility ; antecedent effective precipitation ; daily precipitation ; hybrid landslide warning model ; multibaseline InSAR techniques ; Guang’an Village Landslide ; InSAR ; time-series analysis ; post-event deformation mapping ; root-soil composite ; root reinforcement coefficient ; shear strength parameters ; root distribution angle ; root diameter ; landslide susceptibility mapping ; random forest model ; qualitative analysis ; quantitative evaluation ; Yunyang County ; granular flow ; ring-shear test ; fluctuation characteristics ; landslide ; susceptibility ; tree species ; age group ; woodland type ; forest origin ; YOLOv3 ; deep learning ; automatic landslide identification ; remote sensing image ; flexible rockfall barrier ; energy capacity ; landslide debris ; field investigation ; coupled numerical simulation ; land-use suitability ; Hechuan District ; landslide susceptibility assessment ; machine learning ; Three Gorges Reservoir area ; early-warning model ; Random Forest ; model study ; nucleation process ; waveform similarity ; repeating earthquakes ; neighboring earthquakes ; reinforcement of roots ; slope stability ; growth and decay ; Japanese cedar trees ; shallow landslides ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
    Language: English
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  • 15
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    Monitoring Land Subsidence Using Remote Sensing (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-27
    Description: In this book are reported nine works related to land subsidence monitoring using remote sensing techniques. Land subsidence is a common phenomenon in many regions of the world, where it causes degradation of local ecosystems and disruption of economic activities. Its effects are more evident in densely populated areas in particular in low-lying territories such as river deltas and coastal areas where the combination of land subsidence and sea level rise increases the flooding risk. For this reason, the monitoring of ground deformations is a crucial step to obtain important information for the development of risk mitigation strategies. In the presented papers, the characteristics of land subsidence occurring in different study areas are described, and recent developments in the used methodologies for the monitoring of the ground displacements are discussed and validated also by means of ground-based data. Moreover, advantages and disadvantages of the adopted techniques are highlighted. The outcomes of these research works can provide national and local authorities with useful information for the implementation of integrated monitoring systems in the areas most affected by land subsidence.
    Keywords: land subsidence ; IPTA ; land-use ; water resource utilization ; groundwater change ; deformation ; geology ; Gävle ; InSAR ; PSI ; precise levelling ; sentinel-1 ; subsidence ; Sweden ; ALOS/PALSAR ; time series analysis ; SBAS ; hot spring water ; hydrothermal fluids ; Hakone Volcano ; satellite geodesy ; radar interferometry ; persistent scatterers ; distributed scatterers ; orbit combination ; Sentinel-1 ; cavern field ; salt deposit ; geophysical modeling ; underground gas storage ; GNSS ; ground movement ; subsidence monitoring ; integrated numerical simulation ; Dubrovnik ; satellite altimetry ; tide gauges ; vertical land motion ; DInSAR ; mining-induced tremors ; land surface deformation ; Upper Silesian Coal Basin ; Interferometry ; SNAP-StaMPS ; Ground deformation ; Po River Delta ; integrated monitoring ; time-series analysis ; n/a ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 16
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    Monitoring and Modelling of Geological Disasters Based on InSAR Observations (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-27
    Description: Interferometric synthetic aperture radar (InSAR) has demonstrated its potential in monitoring geological disasters, e.g., in relation to subsidence, landslides, earthquakes, and volcanoes. Such monitoring results provide significant information for further physical modeling, driving mechanism interpretation, developments in early warning technology, and the management and formulation of policies by relevant authorities and stakeholders. This reprint focuses on monitoring and modelling of geological disasters using InSAR observations. The content covers topics such as PS/DS processing, deformation parameter inversion, motoring deformation (e.g., earthquakes, volcanoes, and oil extraction), and driving mechanism interpretation. These excellent reports significantly contribute to further developments in the monitoring and modeling of geological disasters using InSAR techniques.
    Keywords: landslide ; DS-InSAR ; deformation monitoring ; stability analysis ; InSAR ; mine ; land subsidence ; time series deformation ; model ; Su-Xi-Chang area ; InSAR time-series ; ground fissure ; FLAC3D ; Yangbi MW 6.1 earthquake ; time-series InSAR ; error elimination ; high-precision coseismic deformation ; fault inversion ; Anak Krakatau volcano ; the Nobuyuki Otsu (OTSU) method ; multi-polarization ; synthetic aperture radar (SAR) ; Interferometric Synthetic Aperture Radar (InSAR) ; coseismic displacement ; tropospheric delay correction ; small-to-moderate earthquakes ; geodetic earthquake catalogue ; source inversion ; rupture model ; strong motion ; seismic hazard ; Altyn Tagh Fault ; asymmetry interseismic strain ; viscoelastic ; permafrost ; ALT ; FCNInSAR ; CSK images ; thaw settlement coefficient ; VWC ; SoilGrids ; ankang airport ; expansive soil ; phase optimization ; PS-InSAR ; singular spectrum analysis (SSA) ; dataset calibration ; quadratic polynomial fitting ; spatiotemporal evolution characteristics ; Dalian Jinzhou Bay International Airport ; SBAS-InSAR ; Terzaghi consolidation theory ; subsidence monitoring ; subsidence prediction ; ground deformation ; PSInSAR ; leveling ; groundwater ; Shanghai Lingang New City ; Wuhan city ; urban construction ; land uplift ; Persistent Scatter Interferometry (PSI) ; persistent scatterers (PSs) ; distributed scatterers (DSs) ; Bayesian theory ; land deformation ; ERA5 ; the crustal movement observation network of China ; variance component estimation weighting (VCE) ; accuracy analysis ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 17
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    Shoreline Dynamics and Beach Erosion (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-03-27
    Description: Coasts are highly dynamic and geomorphologically complex systems that evolve under the growing pressures of climate change and anthropogenic activities, which can have direct or indirect impacts on the coastal environment. Among the major adverse effects, coastal erosion represents one of the most pressing global issues, especially in flat and low-lying coastal areas that appear to be particularly susceptible to beach erosion and related shoreline retreat. This Special Issue presents twelve papers on “Shoreline Dynamics and Beach Erosion” that contribute to the growing body of knowledge on the dynamics and spatial-temporal evolution of shorelines and beach systems. Using multi-, interdisciplinary, and new experimental approaches, coastal systems of variable complexities located in different geographic and climatic contexts are investigated. The major topics covered concern the morphodynamics and hydrodynamics of coastal systems, the driving factors of coastal erosion, and the use of models and indexes to study coastal vulnerability, and the mitigation of human and natural pressures affecting coastal ecosystems.
    Keywords: Baltic Sea ; cliff ; sandy spit ; beach ; beach gravels ; gravel grain shape ; lithostatistical analysis ; coastal zone dynamics ; lithodynamics ; beach sediment budget ; coastal dynamics ; beach evolution ; coastal morphology ; feed-back processes ; Philippines ; Lingayen Gulf ; Suruga Bay ; high-angle waves ; sand spit ; shoreline instability ; BG model ; rate of longshore sand transport ; wave climate ; nearshore bars ; field data ; cross-shore bar migration ; wave conditions ; wave non-linearity ; storms ; teleconnection patterns ; Black Sea ; crenulated-bay beach ; hyperbolic-tangent shape ; shoreline response ; Boussinesq Wave model ; coastal defences ; extreme wave storms ; tidal levels ; tourist beaches ; beach erosion ; infrastructure damage ; socioeconomic impacts ; Tenerife ; Canary Islands ; volcanic coast ; cliff instability ; rock falls ; Campi Flegrei ; southern Italy ; sea-level rise ; InSAR ; Magdalena River ; coastal changes ; subsidence ; mangroves ; sediment compaction ; La Mancha lagoon ; coastal ; dynamics ; DESCR framework ; barrier spit ; overwash ; barrier migration ; shoreline change ; hurricane ; extra-tropical storm ; North Captiva Island ; barrier island ; Hurricane Charley ; sediment transport ; shoreline evolution ; UAV data elaboration ; coastal vulnerability assessment ; CVA approach ; Molise coast ; Italy ; morpho-sedimentological characterization ; coastal system analysis and modeling ; hydro-meteorological extremes ; sea level rise ; coastal hydrodynamics ; beach erosion drivers ; coastal susceptibility and risk ; coastal dune and beach management ; coastline defense and anthropization ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
    Language: English
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  • 18
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    Dispatch from the field: ecology of ground-web-building spiders with description of a new species (Araneae, Symphytognathidae) (2014)
    Pensoft Publishers
    In:  Biodiversity Data Journal vol. 2, pp. e1076-e1076
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    Publication Date: 2024-01-12
    Keywords: Ecology ; Ecology ; Evolution ; Behavior and Systematics
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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  • 19
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    A new species of Dugesia (Platyhelminthes, Tricladida, Dugesiidae) from China, with an account on the histochemical structure of its major nervous system (2020)
    Pensoft Publishers
    In:  Zoosystematics and Evolution vol. 96 no. 2, pp. 431-447
    Details
    Publication Date: 2024-01-12
    Description: By means of an integrated approach, including molecular, morphological, anatomical and histological data, we describe a new species of freshwater flatworm of the genus Dugesia from southwest China, representing the third species recorded for the country. Morphologically, the new species, Dugesia umbonata Song & Wang, sp. nov., is particularly characterised by the presence of a muscularised hump immediately antero-dorsally to a knee-shaped bend in its bursal canal and by an ejaculatory duct that opens subterminally through the dorsal side of the penis papilla. Four molecular datasets (18S rDNA; ITS-1; 28S rDNA; COI) facilitated determination of the phylogenetic position of the new species, which belongs to a clade comprising other species from the Australasian and Oriental regions. We also analysed the structure of its major nervous system by means of the acetylcholinesterase (AChE) histochemical method and compared these results with data available for three other species of Dugesia.
    Keywords: Ecology ; Evolution ; Behavior and Systematics ; Molecular phylogeny ; Taxonomy ; Histochemistry ; Acetylcholinesterase (AChE)
    Repository Name: National Museum of Natural History, Netherlands
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  • 20
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    Numerous new records of tropical non-indigenous species in the Eastern Mediterranean highlight the challenges of their recognition and identification (2021)
    Pensoft Publishers
    In:  ZooKeys vol. 1010, pp. 1-95
    Details
    Publication Date: 2024-01-12
    Description: New data on 52 non-indigenous mollusks in the Eastern Mediterranean Sea is reported. Fossarus sp. (aff. aptus sensu Blatterer 2019), Coriophora lessepsiana Albano, Bakker & Sabelli, sp. nov., Cerithiopsis sp. aff. pulvis, Joculator problematicus Albano & Steger, sp. nov., Cerithiopsis sp., Elachisina sp., Iravadia aff. elongata, Vitrinella aff. Vitrinella sp. 1 (sensu Blatterer 2019), Melanella orientalis, Parvioris aff. dilecta, Odostomia cf. dalli, Oscilla virginiae, Parthenina cossmanni, Parthenina typica, Pyrgulina craticulata, Turbonilla funiculata, Cylichna collyra, Musculus coenobitus, Musculus aff. viridulus, Chavania erythraea, Scintilla cf. violescens, Iacra seychellarum and Corbula erythraeensis are new records for the Mediterranean. An unidentified gastropod, Skeneidae indet., Triphora sp., Hypermastus sp., Sticteulima sp., Vitreolina cf. philippi, Odostomia (s.l.) sp. 1, Henrya (?) sp., and Semelidae sp. are further potential new non-indigenous species although their status should be confirmed upon final taxonomic assessment. Additionally, the status of Dikoleps micalii, Hemiliostraca clandestina comb. nov. and H. athenamariae comb. nov. is changed to non-indigenous, range extensions for nine species and the occurrence of living individuals for species previously recorded from empty shells only are reported. Opimaphora blattereri Albano, Bakker & Sabelli, sp. nov. is described from the Red Sea for comparison with the morphologically similar C. lessepsiana Albano, Bakker & Sabelli, sp. nov. The taxonomic part is followed by a discussion on how intensive fieldwork and cooperation among institutions and individuals enabled such a massive report, and how the poor taxonomic knowledge of the Indo-Pacific fauna hampers non-indigenous species detection and identification. Finally, the hypothesis that the simultaneous analysis of quantitative benthic death assemblages can support the assignment of non-indigenous status to taxonomically undetermined species is discussed.
    Keywords: Animal Science and Zoology ; Ecology ; Evolution ; Behavior and Systematics ; Cerithiopsidae ; invasion biology ; Lessepsian invasion ; Mollusca ; new species ; Red Sea ; taxonomy ; Triphoridae
    Repository Name: National Museum of Natural History, Netherlands
    Type: info:eu-repo/semantics/article
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