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  • 1
    Online Resource
    Online Resource
    Boca Raton :CRC Press LLC,
    Keywords: Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (573 pages)
    Edition: 2nd ed.
    ISBN: 9781351463379
    DDC: 536.2
    Language: English
    Note: Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Preface to the First Edition -- Symbols -- Unit Conversions -- 1: INTRODUCTION -- 1.1 Regimes of boiling -- 1.2 Two-Phase Flow -- 1.3 Flow Boiling Crisis -- 1.4 Flow Instability -- 2: POOL BOlLING -- 2.1 Introduction -- 2.2 Nucleation and Dynamics of Single Bubbles -- 2.2.1 Nucleation -- 2.2.1.1 Nucleation in a Pure Liquid -- 2.2.1.2 Nucleation at Surfaces -- 2.2.2 Waiting Period -- 2.2.3 Isothermal Bubble Dynamics -- 2.2.4 Isobaric Bubble Dynamics -- 2.2.5 Bubble Departure from a Heated Surface -- 2.2.5.1 Bubble Size at Departure -- 2.2.5.2 Departure Frequency -- 2.2.5.3 Boiling Sound -- 2.2.5.4 Latent Heat Transport and Microconvection by Departing Bubbles -- 2.2.5.5 Evaporation-of-Microlayer Theory -- 2.3 Hydrodynamics of Pool Boiling Process -- 2.3.1 The Helmholtz Instability -- 2.3.2 The Taylor Instability -- 2.4 Pool Boiling Heat Transfer -- 2.4.1 Dimensional Analysis -- 2.4.1.1 Commonly Used Nondimensional Groups -- 2.4.1.2 Boiling Models -- 2.4.2 Correlation of Nucleate Boiling Data -- 2.4.2.1 Nucleate Pool Boiling of Ordinary Liquids -- 2.4.2.2 Nucleate Pool Boiling with Liquid Metals -- 2.4.3 Pool Boiling Crisis -- 2.4.3.1 Pool Boiling Crisis in Ordinary Liquids -- 2.4.3.2 Boiling Crisis with Liquid Metals -- 2.4.4 Film Boiling in a Pool -- 2.4.4.1 Film Boiling in Ordinary Liquids -- 2.4.4.2 Film Boiling in Liquid Metals -- 2.5 Additional References for Further Study -- 3: HYDRODYNAMICS OF TWO-PHASE FLOW -- 3.1 Introduction -- 3.2 Flow Patterns in Adiabatic and Diabatic Flows -- 3.2.1 Flow Patterns in Adiabatic Flow -- 3.2.2 Flow Pattern Transitions in Adiabatic Flow -- 3.2.2.1 Pattern Transition in Horizontal Adiabatic Flow -- 3.2.2.2 Pattern Transition in Vertical Adiabatic Flow -- 3.2.2.3 Adiabatic Flow in Rod Bundles. , 3.2.2.4 Liquid Metal-Gas Two-Phase Systems -- 3.2.3 Flow Patterns in Diabatic Flow -- 3.3 Void Fraction and Slip Ratio in Diabatic Flow -- 3.3.1 Void Fraction in Subcooled Boiling Flow -- 3.3.2 Void Fraction in Saturated Boiling Flow -- 3.3.3 Diabatic Liquid Metal-Gas Two-Phase Flow -- 3.3.4 Instrumentation -- 3.3.4.1 Void Distribution Measurement -- 3.3.4.2 Interfacial Area Measurement -- 3.3.4.3 Measurement of the Velocity of a Large Particle -- 3.3.4.4 Measurement of Liquid Film Thickness -- 3.4 Modeling of Two-Phase Flow -- 3.4.1 Homogeneous Model/Drift Flux Model -- 3.4.2 Separate-Phase Model (Two-Fluid Model) -- 3.4.3 Models for Flow Pattern Transition -- 3.4.4 Models for Bubbly Flow -- 3.4.5 Models for Slug Flow (Taite] and Barnea, 1990) -- 3.4.6 Models for Annular Flow -- 3.4.6.1 Falling Film Flow -- 3.4.6.2 Countercurrent Two-Phase Annular Flow -- 3.4.6.3 Inverted Annular and Dispersed Flow -- 3.4.7 Models for Stratified Flow (Horizontal Pipes) -- 3.4.8 Models for Transient Two-Phase Flow -- 3.4.8.1 Transient Two-Phase Flow in Horizontal Pipes -- 3.4.8.2 Transient Slug Flow -- 3.4.8.3 Transient Two-Phase Flow in Rod Bundles -- 3.5 Pressure Drop in Two-Phase Flow -- 3.5.1 Local Pressure Drop -- 3.5.2 Analytical Models for Pressure Drop Prediction -- 3.5.2.1 Bubbly Flow -- 3.5.2.2 Slug Flow -- 3.5.2.3 Annular Flow -- 3.5.2.4 Stratified Flow -- 3.5.3 Empirical Correlations -- 3.5.3.1 Bubbly Flow in Horizontal Pipes -- 3.5.3.2 Slug Flow -- 3.5.3.3 Annular Flow -- 3.5.3.4 Correlations for Liquid Metal and Other Fluid Systems -- 3.5.4 Pressure Drop in Rod Bundles -- 3.5.4.1 Steady Two-Phase Flow -- 3.5.4.2 Pressure Drop in Transient Flow -- 3.5.5 Pressure Drop in Flow Restriction -- 3.5.5.1 Steady-State, Two-Phase-Flow Pressure Drop -- 3.5.5.2 Transient Two-Phase-Flow Pressure Drop -- 3.6 Critical Flow and Unsteady Flow. , 3.6.1 Critical Flow in Long Pipes -- 3.6.2 Critical Flow in Short Pipes, Nozzles, and Orifices -- 3.6.3 Slowdown Experiments -- 3.6.3.1 Experiments with Tubes -- 3.6.3.2 Vessel Slowdown -- 3.6.4 Propagation of Pressure Pulses and Waves -- 3.6.4.1 Pressure Pulse Propagation -- 3.6.4.2 Sonic Wave Propagation -- 3.6.4.3 Relationship Among Critical Discharge Rate, Pressure Propagation Rate, and Sonic Velocity -- 3.7 Additional References for Further Study -- 4: FLOW BOILING -- 4.1 lntroducton -- 4.2 Nucleate Boiling in Flow -- 4.2.1 Subcooled Nucleate Flow Boiling -- 4.2.1.1 Partial Nucleate Flow Boiling -- 4.2.1.2 Fully Developed Nucleate Flow Boiling -- 4.2.2 Saturated Nucleate Flow Boiling -- 4.2.2.1 Saturated Nucleate Flow Boiling of Ordinary Liquids -- 4.2.2.2 Saturated Nucleate Flow Boiling of Liquid Metals -- 4.3 Forced-Convection Vaporization -- 4.3.1 Correlations for Forced-Convection Vaporization -- 4.3.2 Effect of Fouling Boiling Surface -- 4.3.3 Correlations for Liquid Metals -- 4.4 Film Boiling and Heat Transfer in Liquid-Deficient Regions -- 4.4.1 Partial Film Boiling (Transition Boiling) -- 4.4.2 Stable Film Boiling -- 4.4.2.1 Film Boiling in Rod Bundles -- 4.4.3 Mist Heat Transfer in Dispersed Flow -- 4.4.3.1 Dispersed Flow Model -- 4.4.3.2 Dryout Droplet Diameter Calculation -- 4.4.4.1 Blowdown Heat Transfer -- 4.4.4.2 Heat Transfer in Emergency Core Cooling Systems -- 4.4.4.3 Loss-of-Coolant Accident (LOCA) Analysis -- 4.4.4 Transient Cooling -- 4.4.5 Liquid-Metal Channel Voiding and Expulsion Models -- 4.5 Additional References for Further Study -- 5: FLOW BOILING CRISIS -- 5.1 Introduction -- 5.2 Physical Mechanisms of Flow Boiling Crisis in Visual Observations -- 5.2.1 Photographs of Flow Boiling Crisis -- 5.2.2 Evidence of Surface Dryout in Annular Flow -- 5.2.3 Summary of Observed Results. , 5.3 Microscopic Analysis of CHF Mechanisms -- 5.3.1 Liquid Core Convection and Boundary-Layer Effects -- 5.3.1.1 Liquid Core Temperature and Velocity Distribution Analysis -- 5.3.1.2 Boundary-Layer Separation and Reynolds Flux -- 5.3.1.3 Subcooled Core Liquid Exchange and Interface Condensation -- 5.3.2 Bubble-Layer Thermal Shielding Analysis -- 5.3.2.1 Critical Enthalpy in the Bubble Layer (Tong et a!., 1996a) -- 5.3.2.2 Interface Mixing -- 5.3.2.3 Mass and Energy Balance in the Bubble Layer -- 5.3.3 Liquid Droplet Entrainment and Deposition in High- Quality Flow -- 5.3.4 CHF Scaling Criteria and Correlations for Various Fluids -- 5.3.4.1 Scaling Criteria -- 5.3.4.2 CHF Correlations for Organic Coolants and Refrigerants -- 5.3.4.3 CHF Correlations for Liquid Metals -- 5.4 Parameter Effects on CHF in Experiments -- 5.4.1 Pressure Effects -- 5.4.2 Mass Flux Effects -- 5.4.2.1 Inverse Mass Flux Effects -- 5.4.2.2 Downward Flow Effects -- 5.4.3 Local Enthalpy Effects -- 5.4.4 CHF Table of p-G-X Effects -- 5.4.5 Channel Size and Cold Wall Effects -- 5.4.5.1 Channel Size Effect -- 5.4.5.2 Effect of Unheated Wall in Proximity to the CHF Point -- 5.4.5.3 Effect of Dissolved Gas and Volatile Additives -- 5.4.6 Channel Length and Inlet Enthalpy Effects and Orientation Effects -- 5.4.6.1 Channel Length and Inlet Enthalpy Effects -- 5.4.6.2 Critical Heat Flux in Horizontal Tubes -- 5.4.7 Local Flow Obstruction and Surface Property Effects -- 5.4.7.1 Flow Obstruction Effects -- 5.4.7.2 Effect of Surface Roughness -- 5.4.7.3 Wall Thermal Capacitance Effects -- 5.4.7.4 Effects of Ribs or Spacers -- 5.4.7.5 Hot-Patch Length Effects -- 5.4.7.6 Effects of Rod Bowing -- 5.4.7.7 Effects of Rod Spacing -- 5.4.7.8 Coolant Property (D,O and H,O) Effects on CHF -- 5.4.7.9 Effects of Nuclear Heating -- 5.4.8 Flow Instability Effects -- 5.4.9 Reactor Transient Effects. , 5.5 Operating Parameter Correlations for CHF Predictions in Reactor Design -- 5.5.1 W-3 CHF Correlation and THINC-Il Subchannel Codes -- 5.5.1.1 W-3 CHF Correlation -- 5.5.1.2 THINC [J Code Verification -- 5.5.2 B & -- W-2 CHF Correlation (Gellerstedt et al., 1969) -- 5.5.2.1 Correlation for Uniform Heat Flux -- 5.5.2.2 Correlation for Nonuniform Heat Flux -- 5.5.3 CE-1 CHF Correlation (C-E Report, 1975. 1976) -- 5.5.4 WSC-2 CHF Correlation and HAMBO Code -- 5.5.4.1 Bowring CHF Correlation for Uniform Heat Flux (Bowring. 1972) -- 5.5.4.2 WSC-2 Correlation and HAMBO Code Verification (Bowring. 1979) -- 5.5.5 Columbia CHF Correlation and Verification -- 5.5.5.1 CHF Correlation for Uniform Heat Flux -- 5.5.5.2 COBRA IIlC Verification (Reddy and Fighetti. 1983) -- 5.5.5.3 Russian Data Correlation of Ryzhov and Arkhipow ( 1985) -- 5.5.6 Cincinnati CHF Correlation and Modified Model -- 5.5.6.1 Cincinnati CHF Correlation and COBRA IllC Verification -- 5.5.6.2 An Improved CHF Model for Low-Quality Flow -- 5.5.7 A.R.S. CHF Correlation -- 5.5.7.1 CHF Correlation with Uniform Heating -- 5.5.7.2 Extension A.R.S. CHF Correlation to Nonuniform Heating -- 5.5.7.3 Comparison of A.R.S. Correlation with Experimental Data -- 5.5.8 Effects of Boiling Length: ClSE-1 and ClSE-3 CHF Correlations -- 5.5.8.1 ClSE-1 Correlation -- 5.5.8.2 ClSE-3 Correlation for Rod Bundles (Bertoletti et al., 1965) -- 5.5.9 GE Lower-Envelope CHF Correlation and ClSE-GE Correlation -- 5.5.9.1 G E Lower-Envelope CHF Correlation -- 5.5.9.2 GE Approximate Dryout Correlation (GE Report, 1975) -- 5.5.1 0 Whalley Dry out Predictions in a Round Tube (Whalley et al.. 1973) -- 5.5.11 Levy's Dryout Prediction with Entrainment Parameter -- 5.5.12 Recommendations on Evaluation of CHF Margin in Reactor Design -- 5.6 Additional References for Further Study -- 6: INSTABILITY OF TWO-PHASE FLOW. , 6.1 Introduction.
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  • 2
    Publication Date: 2024-03-15
    Description: Growing evidence suggests that ocean acidification (OA) may affect animal behaviors such as feeding. Although gustation plays a crucial role in evaluating the quality and palatability of food and ultimately influences whether or not teleosts consume the food, the potential impact of OA on gustation-mediated feeding behavior remains unknown. In this study, gustation mediated-feeding behavior, as indicated by the consumption rate (CR) and swallowing rate (SR) of agar pellets with or without feed upon OA exposure was investigated in black sea bream (Acanthopagrus schlegelii). Results showed that the exposure to acidified seawater led to significant reductions in the CR and SR of feed-containing agar pellets. In addition, the in vivo contents of three neurotransmitters and expression of genes from the gustatory signal transduction pathway were all significantly suppressed by the OA treatment. In general, the data obtained indicated that OA may hinder the gustation-mediated feeding behavior of A. schlegelii by disrupting gustatory signal transduction, which may aggravate the issue of food shortage for wild populations of black sea bream.
    Keywords: 5-hydroxytryptamine; Acanthopagrus schlegelii; Acetylcholine; Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Aragonite saturation state, standard error; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Calcite saturation state; Calcite saturation state, standard error; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard error; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chordata; Coast and continental shelf; Consumption; Consumption, standard error; Containers and aquaria (20-1000 L or 〈 1 m**2); Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); gamma-Aminobutyric acid; Gene expression, fold change, relative; Gene expression (incl. proteomics); Laboratory experiment; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; pH, standard error; Potentiometric; Potentiometric titration; Registration number of species; Salinity; Salinity, standard error; Single species; Species; Swallowing rate; Swallowing rate, standard error; Temperate; Temperature, water; Temperature, water, standard error; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 2028 data points
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  • 3
    Publication Date: 2024-03-15
    Description: Ensuring that oocytes are fertilized by a single sperm during broadcast spawning is crucial for the fertilization success of many marine invertebrates. Although the adverse impacts of ocean acidification (OA) on various marine species have been revealed in recent years, its impact on polyspermy and the underlying mechanisms involved remain largely unknown. Therefore, in the present study, the effect of OA on polyspermy risk was assessed in a broadcast spawning bivalve, Tegillarca granosa. In addition, the impacts of OA on the two polyspermy blocking processes, the fast block (membrane depolarization) and the permanent block (cortical reaction), were investigated. The results show that the exposure of oocytes to two future OA scenarios (pH 7.8 and pH 7.4) leads to significant increases in polyspermy risk, about 1.70 and 2.38 times higher than the control, respectively. The maximum change in the membrane potential during oocyte membrane depolarization markedly decreased to 15.79% (pH 7.8) and 34.06% (pH 7.4) of the control value. Moreover, the duration of oocyte membrane depolarization was significantly reduced to approximately 63.38% (pH 7.8) and 21.91% (pH 7.4) of the control. In addition, cortical granule exocytosis, as well as microfilament migration, were significantly arrested by OA treatment. Exposure to future OA scenarios also led to significant reductions in the ATP and Ca2+ content of the oocytes, which may explain the hampered polyspermy blocking. Overall, the present study suggests that OA may significantly increase polyspermy risk in T. granosa by inhibiting membrane depolarization and arresting cortical granule exocytosis.
    Keywords: Adenosine triphosphate, per unit protein; Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; EXP; Experiment; Fluorescence intensity; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; Microfilament migration; Mollusca; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Polyspermy; Potentiometric; Potentiometric titration; Registration number of species; Relative fluorescence intensity, ratio; Reproduction; Salinity; Salinity, standard deviation; Single species; Species; Tegillarca granosa; Temperate; Temperature, water; Temperature, water, standard deviation; Time in seconds; Treatment; Type; Uniform resource locator/link to reference; Yueqing_Bay_OA
    Type: Dataset
    Format: text/tab-separated-values, 3744 data points
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  • 4
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    SAGE PUBLICATIONS LTD
    In:  EPIC3The Holocene, SAGE PUBLICATIONS LTD, 22, pp. 1385-1392, ISSN: 0959-6836
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 5
    Publication Date: 2021-07-01
    Description: (Ultra) high‐pressure (HP) rocks can be exhumed rapidly by subduction reversal or divergent plate motion. Recent studies show that subduction reversal can in particular occur in a divergent double subduction zone when the slab pull of one slab exceeds that of the other, shorter one, which then experiences a net upward pull. This recent hypothesis, first proposed for Triassic HP‐rocks exposed in the central Qiangtang mélange belt in central Tibet, can explain the exhumation of (ultra) HP rocks through upward slab movement. However, this model lacks the support of kinematic evidence. In this study, based on the recognition of multiple deformational phases, we analyze the kinematics of the HP‐bearing mélange in central Qiangtang. Based on new 40Ar‐39Ar geochronology data and those collected from the literature, we present a temporal framework for the new observations. We recognize a switch in sense of shear between the prograde (D1) and exhumation (D2‐3) paths. The change of shear sense reflects the reversal from downward to upward movement of the oceanic slab below. Early D2 represents the early exhumation stage that caused retrograde metamorphism from eclogite to blueschist facies. No magmatism occurred during this period. Continued exhumation from blueschist facies to greenschist facies resulted in D2‐D3 structures. Voluminous igneous activity occurred during this stage. We suggest that subduction reversal in a divergent double subduction zone can best explain the kinematic evolution and temporal framework above. This exhumation model may provide a new perspective on the exhumation mechanism for other HP rocks around the world.
    Description: Key Points: Central Qiangtang HP‐bearing mélange formed by short‐lived southward subduction in a divergent double subduction setting. Progressive inversed shearing exhumed HP rocks. Subduction reversal in a divergent double subduction zone can exhume HP rocks through direct slab movement.
    Description: China Geological Survey (CGS) http://dx.doi.org/10.13039/501100004613
    Keywords: 551.8 ; Tibetan Plateau ; South Qiangtang Terrane ; subduction reversal ; divergent double subduction zone ; exhumation ; high‐pressure rocks
    Type: article
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  • 6
    Publication Date: 2021-05-19
    Description: Eriocheir sinensis, which is an important aquaculture species, belongs to the class Crustacea. To discuss the temperature tolerance of E. sinensis, the survival rates of juvenile crabs of E. sinensis were determined in this paper using a series of temperature settings (normal temperature, 25°C, 30°C, 32°C, 34°C, 35°C, 36°C, 38°C, 40 °C). The results indicated that except the normal temperature level, mortality rate almost reached 100% at other temperatures. The time of death of all crabs at 30℃, 35℃, and 40℃ was different. All the crabs died in only 10 minutes at 40℃, while they died after 3 days and 7 days at 35 ℃ and 30℃, respectively. In addition to normal temperature conditions, minimum survival time of the juvenile crabs of E. sinensis at other temperature condition was no more than 24 h. Before the 8th day, the death rate at 30℃ and normal temperature was different, change of turning slope for concentration of NH3-N and TN was contrary. Under normal temperature, the behavior of abdomen extension was not observed in juvenile crabs but the percentage time of abdomen extension was relatively long at 25℃. This research studied the influence of temperature stress on the survival of juvenile crabs of E. sinensis to provide information reference for the production and transportation of juvenile crab of E. sinensis.
    Description: Published
    Keywords: Eriocheir sinensis ; Crab ; Temperature ; Survival ; Behavior ; Stress
    Repository Name: AquaDocs
    Type: Journal Contribution , Refereed
    Format: pp.763-774
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  • 7
    Publication Date: 2019-07-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 8
    Publication Date: 2022-06-20
    Description: Uncertainty in ocean analysis methods and deficiencies in the observing system are major obstacles for the reliable reconstruction of the past ocean climate. The variety of existing ocean reanalyses is exploited in a multi-reanalysis ensemble to improve the ocean state estimation and to gauge uncertainty levels. The ensemble-based analysis of signal-to-noise ratio allows the identification of ocean characteristics for which the estimation is robust (such as tropical mixed-layer-depth,upper ocean heat content), and where large uncertainty exists (deep ocean, Southern Ocean, sea-ice thickness, salinity), providing guidance for future enhancement of the observing and data assimilation systems.
    Description: This work has been partially funded by the European Commission funded projects MyOcean, MyOcean2 and COMBINE; by the GEMINA project-funded bythe Italian Ministry for Environment; by the NERC-funded VALOR project; by the NERC-funded NCEO program; by the Research Program on Climate Change adaptation of the Ministry of Education, Culture, Sports, Science and Technology of the Japanese government; by the Joint UK DECC/Defra Met Office Hadley Centre Climate Programme (GA01101); by NASA’s Modeling Analysis and Prediction Program under WBS 802678.02.17.01.25 and by the NASA Physical Oceanography Program; by the NOAA's Climate Observation Division (COD); by the LEFE/GMMC French national program.
    Description: Published
    Description: s80-s97
    Description: 4A. Clima e Oceani
    Description: JCR Journal
    Description: open
    Keywords: Global ocean–sea-ice modelling ; Ocean model comparisons ; DATA ASSIMILATION SCHEME ; multi-analysis ensemble ; Ocean climate ; 03. Hydrosphere::03.01. General::03.01.04. Ocean data assimilation and reanalysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 9
    Publication Date: 2022-11-07
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 10
    Publication Date: 2015-12-08
    Description: Stromal miR-200s contribute to breast cancer cell invasion through CAF activation and ECM remodeling Cell Death and Differentiation 23, 132 (January 2016). doi:10.1038/cdd.2015.78 Authors: X Tang, Y Hou, G Yang, X Wang, S Tang, Y-E Du, L Yang, T Yu, H Zhang, M Zhou, S Wen, L Xu & M Liu
    Print ISSN: 1350-9047
    Electronic ISSN: 1476-5403
    Topics: Biology , Medicine
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