CARLOS ALESSANDRE DOMINGOS LENTINI

Scopus Publications

Hydrographic–biogeochemical control of surface pCO2 in the Southwestern Atlantic Ocean
Maria Luíza Bulcão, Luis Felipe Ferreira de Mendonça, Carlos Alessandre Domingos Lentini, Rafael Gonçalves-Araujo
Continental Shelf Research, 2026
Vulnerability of Atlantic Equatorial Margin and Caribbean Sea to oil exploration in Northern Brazil
Martinho Marta-Almeida, Carlos Alessandre Domingos Lentini, Luís Felipe Ferreira de Mendonça, Alessandro Lopes Aguiar, André Telles da Cunha Lima
Energy Reports, 2026
Oil spill analysis and simulations in the Foz do Amazonas sedimentary basin
Felipe R. Torres, Syumara Queiroz, Carlos A.D. Lentini, L.F.F. Mendonça, André T. Cunha Lima
Continental Shelf Research, 2026
One of Petrobras' main exploration fronts until 2028 is the Brazilian Equatorial Margin, where 16 wells are scheduled to be drilled. Within this area, the Foz do Amazonas Sedimentary Basin (SFZA) stands out, covering the coast of Amapá and part of Pará. In this region, Petrobras is seeking environmental licenses to drill six already acquired blocks, while several others are up for sale by the ANP (National Agency of Petroleum, Natural Gas, and Biofuels). Initially, the company conducted oil spill simulations suggesting that spilled oil would not reach the Brazilian coast due to the strong influence of the North Brazil Current (NBC), which would carry it northwest toward Central America. However, for a more in-depth analysis, we used the MEDSLIK-II model to conduct new simulations, both in Petrobras' area of interest and in other locations proposed for auction. The results obtained with MEDSLIK-II align with Petrobras' previous simulations for the summer and winter periods. However, during the boreal spring, oil reached the coasts of neighboring countries. For other blocks for sale located southeast in the SFZA, the risk of oil reaching the Brazilian coast and neighboring countries is significantly high, especially from boreal autumn to late spring. Given this new evidence, it is essential to conduct more detailed studies before authorizing any drilling in the region. It is also advisable to reassess the sale of new blocks until the risks are better understood. • Oil spill risk evaluated for exploratory blocks in the Amazon margin; • Independent assessment complements Petrobras environmental studies; • Results support improved environmental risk assessment frameworks.
Projected Risks to Biodiversity Conservation Along Brazil's Equatorial Margin Under Expanding Offshore Oil Development
Rafael A. Magris, Martinho Marta‐Almeida, Carlos Alessandre Domingos Lentini
Conservation Letters, 2026
Brazil's Equatorial Margin is one of the least studied yet most ecologically significant regions of the Atlantic Ocean. Encompassing the Amazon coast, the region is entering a new phase of industrial expansion. In 2025, Brazil issued its first offshore oil exploration license in two decades, opening the door to large‐scale hydrocarbon development. This decision comes amid renewed global commitments to climate following COP30, highlighting persistent policy tensions between energy expansion and sustainability. Here, we present a spatially explicit assessment of cumulative oil spill risk across Brazil's Equatorial Margin. By integrating oceanographic modeling of spill trajectories with habitat distribution and vulnerability scores, we mapped cumulative risk across marine habitats in all sedimentary basins and identified where risk overlaps with conservation priorities. Results indicate that the Potiguar Basin contributes most strongly to cumulative risk for seagrass meadows, rhodolith beds, coral reefs, and seamount ecosystems. In contrast, the Foz do Amazonas Basin presents comparatively lower overall risk, although planned activities there increase projected risk for mesophotic reefs. Building on these insights, we outline policy actions—including strengthened ecological monitoring, improved spill preparedness, and expansion of marine protected areas—to improve governance as offshore oil development is considered along Brazil's Equatorial Margin.
The effect of wind parametrizations in MEDSLIK-II oil spill simulations: A case study of the FPU P-53 incident in Brazilian waters
E.J.A. Correia Lima, S. Queiroz, M.E.A. Ishimaru, M.E. Kusuky, M. das C. Moura, M. Araujo, L.F.F. Mendonca, C.A.D. Lentini, A.T. da Cunha Lima
Marine Pollution Bulletin, 2025
Revealing Unproductive Areas in the Caatinga Biome: A Remote Sensing Approach to Monitoring Land Degradation in Drylands
Diêgo P. Costa, Rodrigo N. Vasconcelos, Soltan Galano Duverger, Stefanie M. Herrmann, Washington J. S. Franca Rocha, Nerivaldo Afonso Santos, Deorgia T. M. Souza, André T. Cunha Lima, Carlos A. D. Lentini
Earth Switzerland, 2025
Land degradation in drylands represents a critical environmental challenge, with persistent bare soil serving as a key indicator of ecosystem vulnerability, including in the Caatinga biome. This study maps and analyzes the spatial and temporal dynamics of persistent bare soils over three decades using multi-temporal remote sensing data. We applied Spectral Mixture Analysis (SMA), temporal metrics, and machine learning classifiers within Google Earth Engine to process long-term Landsat datasets and to derive the Normalized Difference Fraction Index Adjusted (NDFIa). The results indicate a widespread increase in bare soil, with over 63% of mapped hexagons showing expansion, particularly in the São Francisco Basin. Peaks in soil exposure coincided with severe drought events, highlighting the link between climate variability and land degradation. Moreover, abandoned agricultural lands and pasturelands emerged as the dominant contributors to persistent bare soils. These findings reinforce the need for targeted policies to mitigate land degradation and to promote sustainable land management in semi-arid ecosystems. This research provides a robust framework for long-term environmental monitoring in drylands by integrating satellite data with advanced analytical techniques. These advancements support more effective land management and conservation strategies in semi-arid ecosystems.
Trends in Oil Spill Modeling: A Review of the Literature
Rodrigo N. Vasconcelos, André T. Cunha Lima, Carlos A. D. Lentini, José Garcia V. Miranda, Luís F. F. de Mendonça, Diego P. Costa, Soltan G. Duverger, Elaine C. B. Cambui
Water Switzerland, 2025
Oil spill simulation models are essential for predicting the oil spill behavior and movement in marine environments. In this study, we comprehensively reviewed a large and diverse body of peer-reviewed literature obtained from Scopus and Web of Science. Our initial analysis phase focused on examining trends in scientific publications, utilizing the complete dataset derived after systematic screening and database integration. In the second phase, we applied elements of a systematic review to identify and evaluate the most influential contributions in the scientific field of oil spill simulations. Our analysis revealed a steady and accelerating growth of research activity over the past five decades, with a particularly notable expansion in the last two. The field has also experienced a marked increase in collaborative practices, including a rise in international co-authorship and multi-authored contributions, reflecting a more global and interdisciplinary research landscape. We cataloged the key modeling frameworks that have shaped the field from established systems such as OSCAR, OIL-MAP/SIMAP, and GNOME to emerging hybrid and Lagrangian approaches. Hydrodynamic models were consistently central, often integrated with biogeochemical, wave, atmospheric, and oil-spill-specific modules. Environmental variables such as wind, ocean currents, and temperature were frequently used to drive model behavior. Geographically, research has concentrated on ecologically and economically sensitive coastal and marine regions. We conclude that future progress will rely on the real-time integration of high-resolution environmental data streams, the development of machine-learning-based surrogate models to accelerate computations, and the incorporation of advanced biodegradation and weathering mechanisms supported by experimental data. These advancements are expected to enhance the accuracy, responsiveness, and operational value of oil spill modeling tools, supporting environmental monitoring and emergency response.
Changes in the organic matter deposition in the Southeastern America mangrove limit occurrence area (Santo Antônio Lagoon, Brazil)
Iasmim de Deus Gargur-Leal, Marlon Carlos França, Juliana Leonel, Marcelo Cancela Lisboa Cohen, Antônio Fernando de Sousa Queiroz, Carlos Alessandre Domingos Lentini, Ana Cecilia Rizzatti de Albergaria-Barbosa
Bulletin of Marine Science, 2025
Operational Assessment of Side-Scan Sonar Data Applied to Naval Mine Detection Using an Automatic Target Recognition Algorithm
Camilla Caricchio, Luis Felipe Mendonça, André T. C. Lima, Carlos A. D. Lentini
IEEE Geoscience and Remote Sensing Letters, 2025
Mine warfare (MW) and mine countermeasures (MCMs) have become strategic options to ensure national sovereignty and the safety of maritime commercial routes, which is the primary logistics system for international trade. As an asymmetric weapon, locating and neutralizing a naval mine poses a significant challenge for the world’s navies. In this context, this work proposes an object detection model based on you only look once, version 11 (YOLOv11) for automatic and real-time detection of naval mines in harbor areas using side-scan sonar (SSS) data. The main objective of this tool is to apply it to unmanned maritime vehicles (UMVs) to enhance the mine detection efficiency during minehunting operations. Second, this study aims to evaluate the effects of operational parameters, oceanographic and meteorological conditions on the SSS data quality for naval mine detection. All the data used to train the neural network were real and obtained in a test area, mimicking a port area, a strategic environment in the context of MW. The model performed with satisfactory statistical results (mAP@0.5: 0.84, P: 0.93, R: 0.83, and F1 score: 0.88). Based on the results provided in this study, the 0.70 confidence level can be safely used in future operational inferences using this customized model. From the operational evaluation of SSS data quality, the ideal condition for data acquisition is using an intermediary range and high-frequency sonars with calm seas and low speeds. Despite the recent advancements in the field of machine learning, it is unlikely that neural networks will fully replace human operators in MCM missions in the short to medium term. However, they serve as a valuable tool for decision support, enabling rapid analysis of large datasets and filtering information to present only the most relevant data to human analysts, such as potential sea mines. When embedded in UMV, this technology mitigates risks to human life and enables operators to focus on verifying real targets, thereby enhancing the effectiveness of MCM operations.
YOLOv8 Neural Network Application for Noncollaborative Vessel Detection Using Sentinel-1 SAR Data: A Case Study
Camilla Caricchio, Luis Felipe Mendonça, Carlos A. D. Lentini, André T. C. Lima, David O. Silva, Pedro H. Meirelles e Góes
IEEE Geoscience and Remote Sensing Letters, 2025
Noncollaborative vessels are usually involved in illegal activities and actively monitoring these vessels is one of the most challenging task. This study introduces a methodology that combines automatic identification system (AIS) data and SAR images into a YOLOv8+ slicing-aided hyper inference (SAHI)-based approach, as a decision aid tool for noncooperative vessel detection, to improve maritime domain awareness. It was used 1958 augmented images to custom train the YOLOv8 neural network. For the study case, 16 Sentinel high-resolution ground range detected (GRDH)- interferometric wide (IW) SAR images were used. During the training, the custom model achieved excellent performance with satisfactory statistical results (mAP@.5: 94.3%, precision: 92.5%, and recall: 91.9%), especially when compared to similar previous studies. The model was able to correctly distinguish between vessels and nonvessel features, such as islands, rivers, or coastlines. In the study case, the false negative (FN) detection rate was 95.4%, similar to mAp@0.5 results found at the training and validation step and the Recall was 95.6%, considered excellent results. The recall improvement in the study case shows that the model’s performance in real-world scenarios is better than initially expected for application in noncollaborative vessel detection systems. The model presented showed very promising results for the operational detection of darkships using, simultaneous, SAR images and AIS data.
All Deforestation Matters: Deforestation Alert System for the Caatinga Biome in South America’s Tropical Dry Forest
Diego Pereira Costa, Carlos A. D. Lentini, André T. Cunha Lima, Soltan Galano Duverger, Rodrigo N. Vasconcelos, Stefanie M. Herrmann, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro, Nerivaldo Afonso Santos, Rafael Oliveira Franca Rocha, Deorgia T. M. Souza, Washington J. S. Franca Rocha
Sustainability Switzerland, 2024
Dispersion analysis of the 2017 Persian Gulf oil spill based on remote sensing data and numerical modelling
José Milton Neves de Souza Júnior, Luís Felipe Ferreira de Mendonça, Heverton da Silva Costa, Rose Ane Pereira de Freitas, Fernanda Casagrande, Douglas da Silva Lindemann, Rafael Afonso do Nascimento Reis, Carlos Alessandre Domingos Lentini, André Telles de Cunha Lima
Marine Pollution Bulletin, 2024
Note on volume and distribution of fresh water in the Amazon River plume under low discharge conditions
Peter O Zavialov, Anastasia N Drozdova, Osmar O Möller, Ivan N Krylov, Carlos A D Lentini, Carolina R Pérez, Dmitry I Frey, Eugene G Morozov
Environmental Research Communications, 2024
Maximum angular multiscale entropy: Characterization of the angular self-similarity patterns in two types of SAR images: Oil spills and low-wind conditions images
José Garcia Vivas Miranda, Rodrigo Nogueira Vasconcelos, Carlos Alessandre Domingos Lentini, André T. Cunha Lima, Luís Felipe Ferreira Mendonça
Physica D Nonlinear Phenomena, 2023
Spatial and temporal variability in mode-1 and mode-2 internal solitary waves from MODIS-Terra sun glint off the Amazon shelf
Carina Regina de Macedo, Ariane Koch-Larrouy, José Carlos Bastos da Silva, Jorge Manuel Magalhães, Carlos Alessandre Domingos Lentini, Trung Kien Tran, Marcelo Caetano Barreto Rosa, Vincent Vantrepotte
Ocean Science, 2023
Analysis of a coastal-trapped wave generated by the 2016 extra-tropical cyclonic system in the Southern Brazilian continental shelf with COAWST modeling system
Luís Felipe Ferreira de Mendonça, Antonio Fernando Härter Fetter Filho, Mauro Michelena Andrade, Fabrício S. C. Oliveira, Douglas da Silva Lindemann, et al.
Journal of South American Earth Sciences, 2023
Bibliometric Analysis of Land Degradation Studies in Drylands Using Remote Sensing Data: A 40-Year Review
Diêgo P. Costa, Stefanie M. Herrmann, Rodrigo N. Vasconcelos, Soltan Galano Duverger, Washinton J. S. Franca Rocha, Elaine C. B. Cambuí, Jocimara S. B. Lobão, Ellen M. R. Santos, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, André T. Cunha Lima, Carlos A. D. Lentini
Land, 2023
Deep Learning-Based Approaches for Oil Spill Detection: A Bibliometric Review of Research Trends and Challenges
Rodrigo N. Vasconcelos, André T. Cunha Lima, Carlos A. D. Lentini, José Garcia V. Miranda, Luís F. F. de Mendonça, José M. Lopes, Mariana M. M. Santana, Elaine C. B. Cambuí, Deorgia T. M. Souza, Diego P. Costa, Soltan G. Duverger, Washington S. Franca-Rocha
Journal of Marine Science and Engineering, 2023
The Effect of Currents on Large Surface Gravity Waves Under Cyclonic Conditions in the South/Southeastern Brazil
Gustavo Lauton, Martinho Marta‐Almeida, Carlos A. D. Lentini
Journal of Geophysical Research Oceans, 2023
Bibliometric analysis of surface water detection and mapping using remote sensing in South America
Rodrigo N. Vasconcelos, Diego Pereira Costa, Soltan Galano Duverger, Jocimara S. B. Lobão, Elaine C. B. Cambuí, Carlos A. D. Lentini, André T. Cunha Lima, Juliano Schirmbeck, Deorgia Tayane Mendes, Washington J. S. Franca Rocha, Milton J. Porsani
Scientometrics, 2023
Study on the impact of wave climate on erosion processes on the coast of the municipality of Vera Cruz (BA), Brazil
Laysla Cezar Possebon, Luis Felipe Ferreira de Mendonça, Rose Ane Pereira de Freitas, Milena Nervino, Danilo Heitor Caires Tinoco Bisneto Melo, Arthur Antônio Machado, Douglas da Silva Lindemann, Rafael Afonso do Nascimento Reis, Carlos Alessandre Domingos Lentini
Revista Brasileira De Geografia Fisica, 2023
Geochemical analysis of SAR backscattering (Sentinel-1) on global ocean oil spill cases
José Milton Neves de Souza Júnior, Luís Felipe Ferreira de Mendonça, Heverton da Silva Costa, Juliana Costi, Rodrigo Nogueira Vasconcelos, André Telles da Cunha Lima, Sidnei João Siqueira Sant’anna, José Marques Lopes, Milton José Porsani, de José Vivas Garica Miranda, Carlos Alessandre Domingos Lentini
European Journal of Remote Sensing, 2023
Causes and processes of two opposite climatic years in the tropical Atlantic warm pools
Marcio M. Cintra, Carlos A.D. Lentini, Jacques Servain, Moacyr Araujo, Marcus Silva, David Mendes
Dynamics of Atmospheres and Oceans, 2022
Absorbed dose rate for marine biota due to the oil spilled using ICRP reference animal and Monte Carlo simulation
José M. Lopes, Carlos A.D. Lentini, Luís F.F. Mendonça, André T.C. Lima, Rodrigo N. Vasconcelos, Ademir X. Silva, Milton J. Porsani
Applied Radiation and Isotopes, 2022
Dose conversion coefficients to marine biota due to natural radionuclides in an oil spill accident using Monte Carlo simulation
LAIANNE S. PROTÁSIO, JOSÉ M. LOPES, LUÍS FELIPE F. MENDONÇA, ADEMIR X. SILVA, CARLOS ALESSANDRE D. LENTINI
Anais Da Academia Brasileira De Ciencias, 2022
Comparison between oil spill images and look-alikes: an evaluation of SAR-derived observations of the 2019 oil spill incident along Brazilian waters
CARLOS ALESSANDRE D. LENTINI, LUÍS FELIPE F. DE MENDONÇA, MARCOS REINAN A. CONCEIÇÃO, ANDRÉ T.C. LIMA, RODRIGO N. DE VASCONCELOS, MILTON JOSÉ PORSANI
Anais Da Academia Brasileira De Ciencias, 2022
Spatial evolution of supramareal hypersaline plans associated with mangrove forests: anthropic and natural factors on the Todos os Santos bay, northeast coast of Brazil
Daniele Vasconcelos Nascimento, Gisele Mara Hadlich, Luis Felipe Ferreira Mendonça, Carlos Alessandre Domingos Lentini, Renata Barreto Mascarenhas, Jucelino Balbino da Silva Júnior
Ra E GA O Espaco Geografico Em Analise, 2022
Oil spill detection based on texture analysis: how does feature importance matter in classification?
Rodrigo N. Vasconcelos, Carlos A. D. Lentini, André T. Cunha Lima, Luís F. F. Mendonça, Garcia V. Miranda, Elaine C. B. Cambuí, Diego Pereira Costa, Soltan Galano Duverger, Mainara B. Gouveia, José M. Lopes, Milton J. Porsani
International Journal of Remote Sensing, 2022
Coastal Ocean Observing and Modeling Systems in Brazil: Initiatives and Future Perspectives
Guilherme Franz, Carlos A. E. Garcia, Janini Pereira, Luiz Paulo de Freitas Assad, Marcelo Rollnic, Luis Hamilton P. Garbossa, Letícia Cotrim da Cunha, Carlos A. D. Lentini, Paulo Nobre, Alexander Turra, Janice R. Trotte-Duhá, Mauro Cirano, Segen F. Estefen, José Antonio M. Lima, Afonso M. Paiva, Mauricio A. Noernberg, Clemente A. S. Tanajura, José Luiz Moutinho, Francisco Campuzano, Ella S. Pereira, André Cunha Lima, Luís F. F. Mendonça, Helder Nocko, Leandro Machado, João B. R. Alvarenga, Renato P. Martins, Carina Stefoni Böck, Raquel Toste, Luiz Landau, Tiago Miranda, Francisco dos Santos, Júlio Pellegrini, Manuela Juliano, Ramiro Neves, Andrei Polejack
Frontiers in Marine Science, 2021
Sar oil spill detection system through random forest classifiers
Marcos Reinan Assis Conceição, Luis Felipe Ferreira de Mendonça, Carlos Alessandre Domingos Lentini, André Telles da Cunha Lima, José Marques Lopes, Rodrigo Nogueira de Vasconcelos, Mainara Biazati Gouveia, Milton José Porsani
Remote Sensing, 2021
Metocean Modulators of the First Recorded South Atlantic Hurricane: Catarina
Gustavo Lauton, Martinho Marta‐Almeida, Geoff S. Dorfschäfer, Carlos A. D. Lentini
Geophysical Research Letters, 2021
Observations of Breaking Internal Tides on the Australian North West Shelf Edge
Gustavo Lauton, Charitha Bandula Pattiaratchi, Carlos A. D. Lentini
Frontiers in Marine Science, 2021
Oil spill detection and mapping: A 50-year bibliometric analysis
Rodrigo N. Vasconcelos, André T. Cunha Lima, Carlos A. D. Lentini, Garcia V. Miranda, Luís F. Mendonça, Marcus A. Silva, Elaine C. B. Cambuí, José M. Lopes, Milton J. Porsani
Remote Sensing, 2020
Do the Brazilian sardine commercial landings respond to local ocean circulation?
Mainara B. Gouveia, Douglas F. M. Gherardi, Carlos A. D. Lentini, Daniela F. Dias, Paula C. Campos
Plos One, 2017
Physical processes that drive the seasonal evolution of the Southwestern Tropical Atlantic Warm Pool
Marcio M. Cintra, Carlos A.D. Lentini, Jacques Servain, Moacyr Araujo, Eduardo Marone
Dynamics of Atmospheres and Oceans, 2015
Application of organic carbon and nitrogen stable isotope and C/N ratios as source indicators of organic matter of Nova Viçosa-Caravelas estuarine complex, southern Bahia, Brazil
Saulo Spano, Andre Luiz Belem, Rafael Nunes Doria, Maria do Rosário Zucchi, José Roberto Bispo de Souza, Alexandre Barreto Costa, Carlos Alessandre Domingues Lentini, Antônio Expedito Gomes de Azevedo
Brazilian Journal of Geology, 2014
The inner shelf circulation on the Abrolhos Bank, 18°S, Brazil
Carlos E.P. Teixeira, Guilherme C. Lessa, Mauro Cirano, Carlos A.D. Lentini
Continental Shelf Research, 2013
Heavy rainfall episodes in the eastern northeast brazil linked to large-scale ocean-atmosphere conditions in the tropical atlantic
Yves K. Kouadio, Jacques Servain, Luiz A. T. Machado, Carlos A. D. Lentini
Advances in Meteorology, 2012
Occurrence of magellanic penguins along the northeast Brazilian coast during 2008 austral winter
Renato Ramos da Silva, Janini Pereira, Clemente A. S. Tanajura, Carlos A. D. Lentini, Mauro Cirano, P. Dee Boersma, Regina R. Rodrigues
Scientific World Journal, 2012
Carbon Cycle: Biogeochemical, Physical processes and compartment interactions in the Todos os Santos Bay
Marcelo F. L. Souza, Cybelle M. Longhini, Ananda M. Silva, Carlos A. D. Lentini
Revista Virtual De Quimica, 2012
Coastal and shelf circulation in the vicinity of Camamu Bay (14°S), Eastern Brazilian Shelf
F.N. Amorim, M. Cirano, I.D. Soares, C.A.D. Lentini
Continental Shelf Research, 2011
Salinity-induced mixed and barrier layers in the southwestern tropical Atlantic Ocean off the northeast of Brazil
M. Araujo, C. Limongi, J. Servain, M. Silva, F. S. Leite, D. Veleda, C. A. D. Lentini
Ocean Science, 2011
A remote sensing derived upper ocean heat content dataset for the equatorial Atlantic: Comparison with PIRATA project data
Wilton Zumpichiatti Arruda, Carlos Alessandre Domingos Lentini
Revista Brasileira De Geofisica, 2011
High-resolution regional ocean dynamics simulation in the southwestern tropical Atlantic
Marcus Silva, Moacyr Araujo, Jacques Servain, Pierrick Penven, Carlos A.D. Lentini
Ocean Modelling, 2009
Investigation of Brazil current rings in the confluence region
Carlos A. D. Lentini, Gustavo J. Goni, Donald B. Olson
Journal of Geophysical Research Oceans, 2006
Statistics of Brazil current rings observed from AVHRR: 1993 to 1998
Carlos A. D. Lentini, Donald B. Olson, Guillermo P. Podestá
Geophysical Research Letters, 2002
Sea surface temperature anomalies on the western south atlantic from 1982 to 1994
C.A.D. Lentini, G.G. Podestá, E.J.D. Campos, D.B. Olson
Continental Shelf Research, 2001
Interannual variability of the sea surface temperature in the South Brazil Bight
Edmo J. D. Campos, Carlos A. D. Lentini, Jerry L. Miller, Alberto R. Piola
Geophysical Research Letters, 1999

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