Article
Green & Sustainable Science & Technology
Bing Lin, Yiwen Zeng, Gregory P. P. Asner, David S. S. Wilcove
Summary: By combining Instagram data from tourists and live coral cover maps in Hawaii, this study reveals that coral reefs both attract and suffer from coastal tourism. Higher live coral cover attracts more visitors, but their visitation contributes to subsequent reef degradation. This finding highlights the economic value of coral reefs and the importance of effective conservation management.
NATURE SUSTAINABILITY
(2023)
Review
Food Science & Technology
Larissa Oliveira Chaves, Ana Luiza Gomes Domingos, Daniel Louzada Fernandes, Fabio Ribeiro Cerqueira, Rodrigo Siqueira-Batista, Josefina Bressan
Summary: The evaluation of food intake plays a crucial role in scientific research and clinical practice. Artificial intelligence tools, such as machine learning algorithms, are increasingly being used to assess food intake. This systematic review identified studies that used machine learning algorithms to evaluate food intake in various populations, highlighting the predominance of supervised learning algorithms.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2023)
Article
Biochemistry & Molecular Biology
Elena Bollati, Yaeli Rosenberg, Noa Simon-Blecher, Raz Tamir, Oren Levy, Danwei Huang
Summary: Urbanized coral reefs are often impacted by sedimentation and reduced light levels, but many coral species can still thrive under these disturbed conditions. A study on the transcriptomic response to sediment stress in corals found that exposure to sediment induced upregulation of genes related to energy metabolism and immune response, with anaerobic glycolysis and glyoxylate bypass enzymes being significantly affected. This suggests that hypoxia may be a driving factor for the molecular response of corals to sediment stress.
Article
Ecology
Alexandre C. C. Siqueira, Pooventhran Muruga, David R. R. Bellwood
Summary: The biodiversity of tropical reefs is characterized by the interaction between fishes and corals. However, only a minority of fish species strongly associate with live corals, and there is no coevolutionary pattern between the fish and coral lineages. The expansion of reef structures, rather than coral association, is more likely responsible for the Miocene fish diversification.
Article
Multidisciplinary Sciences
Mary K. Donovan, Deron E. Burkepile, Chelsey Kratochwill, Tom Shlesinger, Shannon Sully, Thomas A. Oliver, Gregor Hodgson, Jan Freiwald, Robert van Woesik
Summary: Climate change poses a serious threat to coral reefs, leading to coral bleaching and mortality, and global mass coral mortality events highlight the importance of mitigating climate change to protect coral reefs. Local stressors such as high abundance of macroalgae or urchins intensify coral loss and in combination with increasing heat stress, exacerbate coral mortality. Effective local management practices, combined with global efforts to mitigate climate change, offer hope for the survival of coral reefs in the Anthropocene era.
Article
Chemistry, Multidisciplinary
Jorge Perez-Aracil, Carlos Camacho-Gomez, Alejandro Mateo Hernandez-Diaz, Emiliano Pereira, Sancho Salcedo-Sanz
Summary: This paper introduces a novel procedure for optimal design of geometrically nonlinear submerged arches, combining a new arch shape parameterization with the Coral Reefs Optimization with Substrate Layers algorithm. Numerical experiments demonstrate the importance of considering the second-order behavior of the arch structure, and show that the algorithm leads to nearly-optimal solutions while ensuring stability and reducing bending moment values.
APPLIED SCIENCES-BASEL
(2021)
Article
Automation & Control Systems
Yilin Chen, Fazhi He, Xiantao Zeng, Haoran Li, Yaqian Liang
Summary: Medical image registration is an increasingly important technique that requires finding the optimal transformation. A new method combining Fireworks Algorithm with Coral Reefs Optimization Algorithm has been proposed in the study and demonstrated superior performance in experiments compared to other algorithms, achieving faster convergence and increased efficiency.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Review
Environmental Sciences
Thomas J. F. Goreau
Summary: Coral reefs are collapsing rapidly due to various factors, and urgent steps are necessary to regenerate them. The use of safe electrical stimulation has shown potential in increasing settlement, growth, and survival of marine organisms under extreme stress conditions. Further research is needed to understand the mechanisms at the cellular and molecular levels. Electrical stimulation is the only known method to reverse the impacts of extreme stresses on corals and other marine organisms.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Angelo Jason Spadaro, Mark J. Butler
Summary: The study shows that herbivorous crabs play a significant role in removing seaweed and promoting coral reef recovery. By reducing seaweed cover, increasing coral recruitment, and enhancing reef fish community abundance and diversity, the crabs can reverse the ecological phase shift on coral reefs away from seaweed dominance. Compared to manual scrubbing, the herbivory of crabs has a more lasting effect on reducing algae cover and restoring coral reefs.
Review
Energy & Fuels
Arslan A. Rizvi, Syed N. Danish, Abdelrahman El-Leathy, Hany Al-Ansary, Dong Yang
Summary: Central receiver systems are considered efficient in harnessing solar thermal energy, with the heliostat field being a significant component. Designing high efficiency and cost-effective heliostat fields is crucial for minimizing energy costs and environmental impact.
Article
Mathematics
Yenny Villuendas-Rey, Jose L. Velazquez-Rodriguez, Mariana Dayanara Alanis-Tamez, Marco-Antonio Moreno-Ibarra, Cornelio Yanez-Marquez
Summary: When facing challenges in science, engineering or technology, it is essential to seek the best solution through optimization. The Mexican Axolotl Optimization algorithm, inspired by nature, achieved very good optimization results in most experiments.
Article
Ecology
Crawford Drury, Roberta E. Martin, David E. Knapp, Joseph Heckler, Joshua Levy, Ruth D. Gates, Gregory P. Asner
Summary: To improve coral conservation and management, we used historical bleaching phenotypes, imaging spectroscopy, and temperature stress to map coral species composition and thermal tolerance. Spectral data accurately distinguished benthic composition and coral species and showed potential for mapping thermal tolerance. Additionally, we strengthened the relationship between predictions and conserved tolerance phenotypes through a study of a marine heatwave in 2019.
FRONTIERS IN ECOLOGY AND THE ENVIRONMENT
(2022)
Article
Environmental Sciences
Nadiezhda Santodomingo, Chris Perry, Zarinah Waheed, Muhammad Ali Bin Syed Hussein, Allia Rosedy, Kenneth G. Johnson
Summary: This study documented the magnitude, types, sources, and potential impacts of marine litter on six coral reefs in East Sabah. The research found that plastics dominate the litter, primarily single-use items, with discarded fishing gear also making up a significant portion. Litter pollution is more severe closer to urban developments.
MARINE POLLUTION BULLETIN
(2021)
Article
Biodiversity Conservation
Robert van Woesik, Tom Shlesinger, Andrea G. Grottoli, Rob J. Toonen, Rebecca Vega Thurber, Mark E. Warner, Ann Marie Hulver, Leila Chapron, Rowan H. McLachlan, Rebecca Albright, Eric Crandall, Thomas M. DeCarlo, Mary K. Donovan, Jose Eirin-Lopez, Hugo B. Harrison, Scott F. Heron, Danwei Huang, Adriana Humanes, Thomas Krueger, Joshua S. Madin, Derek Manzello, Lisa C. McManus, Mikhail Matz, Erinn M. Muller, Mauricio Rodriguez-Lanetty, Maria Vega-Rodriguez, Christian R. Voolstra, Jesse Zaneveld
Summary: The global impacts of climate change are evident in every marine ecosystem, particularly on coral reefs where mass coral bleaching and mortality are common responses. Linking information across scientific disciplines and scales is a major challenge, but adopting an integrative approach can advance coral-reef science and guide conservation efforts. Establishing networks of protected reefs across national boundaries may be the best chance for corals to persist through climate change.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Biology
Peter J. J. Edmunds
Summary: Coral recruitment is the addition of new individuals to populations and plays a crucial role in population size. Understanding the factors influencing coral recruitment and its ability to support community resilience is crucial due to declines in coral cover and abundance. Settlement tiles have proven to be effective tools in measuring coral recruitment and future studies should focus on expanding taxonomic resolution and using time series of settlement tile deployments.
BIOLOGICAL REVIEWS
(2023)
Article
Computer Science, Information Systems
Sagthitharan Karalasingham, Ravinesh C. Deo, David Casillas-Perez, Nawin Raj, Sancho Salcedo-Sanz
Summary: This paper proposes a new image super-resolution deep learning model based on convolutional neural network to generate high resolution spatial representations of surface albedo from coarse resolution remote sensing-based data. The proposed model outperforms alternative deep learning, super-resolution approaches in terms of mean square error, signal-to-noise ratio, and structural similarity index.
Article
Computer Science, Artificial Intelligence
D. Fister, J. Perez-Aracil, C. Pelaez-Rodriguez, J. Del Ser, S. Salcedo-Sanz
Summary: In this paper, three customised AI frameworks for longterm summer air temperature prediction are proposed. The frameworks consider Deep Learning, Machine Learning algorithms, and data reduction techniques. The results show that these frameworks have achieved excellent prediction skill for seasonal climate prediction problems in both Paris and Cordoba regions.
APPLIED SOFT COMPUTING
(2023)
Article
Meteorology & Atmospheric Sciences
Antonio Manuel Gomez-Orellana, David Guijo-Rubio, Jorge Perez-Aracil, Pedro Antonio Gutierrez, Sancho Salcedo-Sanz, Cesar Hervas-Martinez
Summary: In this paper, the problem of long-term air temperature prediction is addressed using eXplainable Artificial Intelligence (XAI) models. The performance of an Artificial Neural Network (ANN) architecture with sigmoidal neurons in the hidden layer, trained by means of an evolutionary algorithm (EANNs), is evaluated. The proposed XAI-EANN model architecture is applied to different sub-regions of the South of the Iberian Peninsula, achieving good prediction skills and explainable models. A comprehensive comparison against state-of-the-art techniques also demonstrates the superiority of the XAI-EANN model in terms of accuracy.
ATMOSPHERIC RESEARCH
(2023)
Article
Thermodynamics
C. G. Marcelino, G. M. C. Leite, E. F. Wanner, S. Jimenez-Fernandez, S. Salcedo-Sanz
Summary: This study proposes a modeling and optimization method for a hybrid microgrid system (HMGS) using a swarm-intelligent algorithm and a Net-Metering compensation policy. Real industrial and residential data from a Spanish region are used to analyze the impact of four different Net-Metering compensation levels on costs, percentage of renewable energy sources (RESs), and LOLP. The results show that the Net-Metering policy reduces surplus and increases RESs participation in the microgrid, and using a VRFB system with a 25% compensation policy can yield significant cost savings compared to using a LTO system without Net-Metering.
Article
Biochemistry & Molecular Biology
Lucas Cuadra, Sancho Salcedo-Sanz, Jose Carlos Nieto-Borge
Summary: This paper presents a network model for studying the transport behavior of electrons and holes in IB solar cells, and proposes a design constraint of reducing carrier effective mass and inter-dot distance to increase transport efficiency.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Green & Sustainable Science & Technology
G. M. C. Leite, C. G. Marcelino, C. E. Pedreira, S. Jimenez-Fernandez, S. Salcedo-Sanz
Summary: In recent years, distributed clean energy resources such as solar irradiation, wind generation, and electric vehicles have been considered as alternatives to fossil fuels. Managing these resources is complex due to their uncertain behavior. This study addresses a risk-based energy resource management optimization problem and proposes an improved version of Canonical Differential Evolutionary Particle Swarm Optimization (C-DEEPSO) to solve it. The results show that the proposed C-DEEPSO can provide solutions that reduce costs and protect against extreme scenarios.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Lionel P. Joseph, Ravinesh C. Deo, Ramendra Prasad, Sancho Salcedo-Sanz, Nawin Raj, Jeffrey Soar
Summary: This research proposes a novel hybrid bidirectional LSTM model for near real-time wind speed forecasting. The model utilizes wind speed and selected climate indices to predict wind speed, and applies a 3-stage feature selection to extract significant input features. The proposed hybrid BiLSTM algorithm outperforms other tested algorithms in wind speed prediction.
Article
Environmental Sciences
Adam S. Candy, Shannara K. Taylor K. Parkins, Fleur C. Van Duyl, Benjamin Mueller, Milou G. I. Arts, Will Barnes, Marie Carstensen, Yun J. H. Scholten, Yusuf C. El-Khaled, Christian Wild, Linda Wegley Kelly, Craig E. Nelson, Stuart A. Sandin, Mark J. A. Vermeij, Forest L. Rohwer, Cristian Picioreanu, Paolo Stocchi, Andreas F. Haas
Summary: One mechanism that gives fleshy algae a competitive edge over corals during reef degradation is the occurrence of algal-induced and microbially-mediated hypoxia, which is typically less than 69.5 mu mol oxygen L-1. Algae are more tolerant of low oxygen conditions and may outcompete corals weakened by hypoxia. The extent of local hypoxic zones in highly turbulent aquatic environments, continuously flushed by currents and wave surge, remains a question unanswered.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Mathematics
Jorge Perez-Aracil, Carlos Camacho-Gomez, Eugenio Lorente-Ramos, Cosmin M. Marina, Laura M. Cornejo-Bueno, Sancho Salcedo-Sanz
Summary: This paper proposes new probabilistic and dynamic strategies for creating multi-method ensembles based on the CRO-SL algorithm. Two different probabilistic strategies are analyzed to improve the algorithm. The performances of the proposed ensembles are tested for different optimization problems, comparing the results with existing algorithms in the literature.
Article
Biology
J. C. Gijsbers, N. Englebert, K. E. Prata, M. Pichon, Z. Dinesen, R. Brunner, G. Eyal, F. L. Gonzalez-Zapata, S. E. Kahng, K. R. W. Latijnhouwers, P. Muir, V. Z. Radice, J. A. Sanchez, M. J. A. Vermeij, O. Hoegh-Guldberg, S. J. Jacobs, P. Bongaerts
Summary: Using genome sequencing, this study revealed deep divergences and undescribed diversity within the two dominant mesophotic coral genera, Leptoseris and Agaricia. The presence of genetically divergent lineages associated with mesophotic depths suggests a greater diversity of mesophotic-specialist coral species than previously acknowledged, calling for urgent assessment.
Article
Computer Science, Artificial Intelligence
Jorge Perez-Aracil, Alejandro Mateo Hernandez-Diaz, Cosmin Madalin Marina, Sancho Salcedo-Sanz
Summary: This study validates the feasibility of using machine learning methods to predict the steel yield strain. The method involves using classification techniques to locate the root and regression algorithms to accurately calculate its value. The results show that this method is no longer dependent on the strain location and the prediction error is homogeneous across the problem domain.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Environmental Sciences
Bert W. Hoeksema, Kaveh Samimi-Namin, Catherine S. Mcfadden, Rosana M. Rocha, Leen P. van Ofwegen, Auke-Florian Hiemstra, Mark J. A. Vermeij
Summary: A coral community on a semi-submersible platform in the southern Caribbean was examined, revealing the presence of several nonnative or cryptogenic species, including two scleractinian corals and two octocorals. The first reported presence of T. tagusensis in the southern Caribbean and Chromonephthea genus in the Caribbean region were observed. Additionally, the first report of Perophora cf. regina and Petaloconchus sp. in the southern Caribbean was documented. Lack of biofouling management could potentially harm indigenous marine fauna by introducing non-native species. Therefore, monitoring such communities is essential to track the presence and dispersal of non-native, potentially invasive species.
MARINE POLLUTION BULLETIN
(2023)
Article
Acoustics
Alberto Palomo-Alonso, David Casillas-Perez, Silvia Jimenez-Fernandez, Jose A. Portilla-Figueras, Sancho Salcedo-Sanz
Summary: This article proposes a flexible architecture with different algorithms for effective story segmentation of broadcast news from subtitle files. The proposed system uses spatial and temporal distance, as well as sentence similarity, to classify different stories in news broadcasts. The computational algorithms focus on each sentence's features and are combined to build an overall classifier. The proposed approach is evaluated using Video Text Track (VTT) subtitle files, and the algorithms are designed to handle noisy content.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2023)
Review
Computer Science, Artificial Intelligence
Iztok Fister Jr, Iztok Fister, Dusan Fister, Vili Podgorelec, Sancho Salcedo-Sanz
Summary: Association rule mining aims to search for relationships between attributes in transaction databases. The process involves pre-processing techniques, rule mining, and post-processing with visualization. This review paper provides a literature review and analysis of techniques, applications, and future research directions in association rule mining and visualization.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Iztok Fister Jr, Iztok Fister, Vili Podgorelec, Sancho Salcedo-Sanz, Andreas Holzinger
Summary: This article introduces a novel visualization method developed based on the principles of explainable artificial intelligence to present association rules for time series. The experiments conducted in the context of smart agriculture demonstrate the great potential of the proposed visualization method.
