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He Zhu and Jiaming Liu
Global tourism development can be seen as a tourism network evolution; however, how the network structure influences the tourism industrial performance has not been clearly outlined. This paper utilizes complex network theory to understand the global tou...
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Hanna N. Vaidya, Robert D. Breininger, Marisela Madrid, Steven Lazarus and Nezamoddin N. Kachouie
Within the last century, the global sea level has risen between 16 and 21 cm and will likely accelerate into the future. Projections from the Intergovernmental Panel on Climate Change (IPCC) show the global mean sea level (GMSL) rise may increase to up t...
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Shenyu Xuan, Chengsheng Zhan, Zuyuan Liu, Qiaosheng Zhao and Wei Guo
In level ice, the maneuvering motion of icebreakers has a major influence on the global ice loads of the hull. This study researched the influences of the drift angle and turning radius on the ice loads of the icebreaker Xue Long through a partial numeri...
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Thorsten Roth, Martin Weier, Pablo Bauszat, André Hinkenjann and Yongmin Li
Modern Monte-Carlo-based rendering systems still suffer from the computational complexity involved in the generation of noise-free images, making it challenging to synthesize interactive previews. We present a framework suited for rendering such previews...
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Yao Yuan, Ye-Shuang Xu, Arul Arulrajah
Pág. 1 - 16
Global warming induces temperature variations and sea level changes for a long period of time. Many coastal cities around the world have experienced the harmful consequences of sea level changes and temperature variations. The city of Shanghai in China a...
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Yao Yuan, Ye-Shuang Xu and Arul Arulrajah
Global warming induces temperature variations and sea level changes for a long period of time. Many coastal cities around the world have experienced the harmful consequences of sea level changes and temperature variations. The city of Shanghai in China a...
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Yiming Liu, Hongtao Shan, Feng Nie, Gaoyu Zhang and George Xianzhi Yuan
The current popular approach to the extraction of document-level relations is mainly based on either a graph structure or serialization model method for the inference, but the graph structure method makes the model complicated, while the serialization mo...
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Erik Jeppesen, Meryem Beklioglu and Egor Zadereev
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Talal A. N. M. S. Alotaibi and Lucía Morales
Global stock markets experienced a dual shock in 2020 due to the impact of the global health crisis, parallel to a simultaneous shock derived from the Saudi Arabia and Russia oil price war. The dual shock fueled oil market volatility with lasting effects...
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Fabrizio Antonioli, Stefano Furlani, Paolo Montagna, Paolo Stocchi, Lucio Calcagnile, Gianluca Quarta, Jonathan Cecchinel, Valeria Lo Presti, Maurizio Gasparo Morticelli, Franco Foresta Martin, Edwige Pons-Branchu and Valeria Vaccher
This study presents a global overview of the submerged speleothems used to reconstruct paleo sea levels and reports new results from two stalactites collected in the Mediterranean Sea. Coastal cave deposits significantly contributed to the understanding ...
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Ezatollah Ghanavati, Majid Shah-Hosseini and Nick Marriner
The SE coast of Iran is of great economic and environmental importance. Global climate change affects this coastline through sea level rise (SLR), compounded by a decrease in sediment budgets in coastal areas. This study developed a Coastal Vulnerability...
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Kuekyeng Kim, Yuna Hur, Gyeongmin Kim and Heuiseok Lim
In an age overflowing with information, the task of converting unstructured data into structured data are a vital task of great need. Currently, most relation extraction modules are more focused on the extraction of local mention-level relations?usually ...
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Otilia Manta
Pág. 31 - 47
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Zoran Tomic,Ognjen Radovic
Pág. 177 - 187
Problem of distribution gathers the attention of researchers for years. In their research they analyze the uniformity of distribution using Pareto model of distribution, the Lorenz curve and the Gini coefficient. Also some authors are testing the applica...
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Mustafa M. Aral and Jiabao Guan
Prediction of global temperatures and sea level rise (SLR) is important for sustainable development planning of coastal regions of the world and the health and safety of communities living in these regions. In this study, climate change effects on sea le...
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John T. Fasullo and Robert S. Nerem
To better understand global mean sea level (GMSL) as an indicator of climate variability and change, contributions to its interannual variation are quantified in the Community Earth System Model (CESM) Large Ensemble and Last Millennium Ensemble. Consist...
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John T. Fasullo, Robert S. Nerem
Pág. 1 - 13
To better understand global mean sea level (GMSL) as an indicator of climate variability and change, contributions to its interannual variation are quantified in the Community Earth System Model (CESM) Large Ensemble and Last Millennium Ensemble. Consist...
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Mustafa M. Aral, Jiabao Guan
Pág. 1 - 15
Prediction of global temperatures and sea level rise (SLR) is important for sustainable development planning of coastal regions of the world and the health and safety of communities living in these regions. In this study, climate change effects on sea le...
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Serafino Afonso Rui Mucova, Ulisses Miranda Azeiteiro, Walter Leal Filho, Carina Lurdes Lopes, João Miguel Dias and Mário Jorge Pereira
Mean sea-level is expected to rise significantly by 2100 in all scenarios, including those compatible with the objectives of the Paris Climate Agreement. Global sea level rise projections indicate devastating implications for populations, ecosystem servi...
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Alovsat Garaja ALIYEV
Pág. 65 - 80
The article substantiates the necessity to develop a system of indicators for assessing the level of development of the information and knowledge economy. Main methodological approaches regarding their development and analysis have been analyzed. Some re...
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