Article
Health Care Sciences & Services
Agata Ossowska, Aida Kusiak, Dariusz Swietlik
Summary: This study used self-organizing maps (SOM) to group the clinical profiles of patients with periodontitis, revealing three distinct clusters based on the severity and stage of the disease. The analysis showed significant differences in key indicators among the groups. Self-organizing maps provide a clearer understanding of periodontitis progression compared to conventional statistics.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Engineering, Civil
Thiago Victor Medeiros do Nascimento, Celso Augusto Guimaraes Santos, Camilo Allyson Simoes de Farias, Richarde Marques da Silva
Summary: This study developed self-organizing maps (SOM) for rainfall-streamflow modeling and found that the models generally performed well during the calibration phase but outcomes varied in the testing phase depending on data homogeneity pattern and SOM structure.
WATER RESOURCES MANAGEMENT
(2022)
Article
Chemistry, Multidisciplinary
Marko Jevtic, Sasa Mladenovic, Andrina Granic
Summary: Due to the rapid changes and growth in programming technologies, there is a widening gap between the needs of the programming industry and the educational capabilities of formal and informal educational environments. However, there is an increasing need to learn computer programming regardless of the motivation behind it. This research analyzed source codes from educational systems to teach programming concepts and concluded that Self-Organizing Maps are a powerful tool for content and knowledge management in computer programming education.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Quentin Berthet, Joachim Schmidt, Andres Upegui
Summary: This paper presents a hardware architecture for CSOM that addresses the challenge of scalability. The architecture supports asynchronous deployment on a multi-FPGA 3D array and overcomes the issue of multi-path propagation using the underlying network structure. The results show that a larger network size and low precision coding achieve an optimal balance between algorithm accuracy and FPGA resources.
Article
Chemistry, Multidisciplinary
See Yoong Wong, Andrew L. Hook, Wil Gardner, Chien-Yi Chang, Ying Mei, Martyn C. Davies, Paul Williams, Morgan R. Alexander, Davide Ballabio, Benjamin W. Muir, David A. Winkler, Paul J. Pigram
Summary: Biofilm formation is a major problem in hospitals, and researching biofilm-resistant materials is critical. Polymer microarrays can efficiently discover new biofilm-resistant polymers. This study investigates bacterial attachment and surface chemistry on a polymer microarray to better understand Pseudomonas aeruginosa biofilm formation. Analyzing the data using linear multivariate analysis and a nonlinear self-organizing map reveals fragment ions associated with bacterial biofilm formation. Considering these insights, a second analysis is conducted that explicitly considers interactions between key fragments. This improved model provides chemical insights for designing materials that prevent pathogen attachment.
ADVANCED MATERIALS INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Suellen M. Araujo, Sabrina B. M. Nery, Bianca G. Magalhaes, Kelson James Almeida, Pedro D. Gaspar
Summary: This study proposes an Artificial Neural Network-based severity index to classify Parkinson's disease patients based on their symptoms and predict the progression of the disease. The tool can assist medical professionals in early intervention and improving the quality of life for patients.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Daniel Guaman, Soledad Delgado, Jennifer Perez
Summary: The new era of information requires continuous change in software and technology, with decisions in software architectures needing to be (semi-)automated to keep up with rapid changes and avoid costly mistakes. This study utilizes Self-Organizing Maps to classify MVC patterns based on quality metrics and provides a knowledge base for decision-making in Java MVC applications by analyzing 24 metrics from 87 Java MVC applications.
Article
Marine & Freshwater Biology
I. Alvarez, J. S. Font-Munoz, I. Hernandez-Carrasco, C. Diaz-Gil, P. M. Salgado-Hernanz, I. A. Catalan
Summary: Using Self Organizing Maps (SOM) technique, we analyzed the influence of stratification process on the vertical distribution of larval fish in a microtidal coastal Mediterranean zone. The analysis integrated multivariate data and size-based information, providing insights into the complex patterns of settlement/recruitment of young fish. This approach overcame the limitations of linear statistical methods in dealing with complex multivariate datasets with multiple dependencies.
ESTUARINE COASTAL AND SHELF SCIENCE
(2021)
Article
Automation & Control Systems
Hirijete Idrizi, Metodija Najdoski, Igor Kuzmanovski
Summary: Soil, due to its transferability, is commonly used as evidence in criminal investigations. In this study, urban soil samples from five parks were analyzed using infrared spectroscopy. The development of classification models based on supervised self-organizing maps, with the use of genetic algorithms, successfully predicted and classified the samples from different locations. The results also showed the influence of weather and seasonal changes on soil composition.
JOURNAL OF CHEMOMETRICS
(2021)
Article
Meteorology & Atmospheric Sciences
Aria M. Madsen, Onathan E. Martin
Summary: Previous research on intraseasonal variability of the Wintertime Pacific jet has mainly used EOF/PC analysis to characterize two leading modes of variability: zonal extension or retraction and a -20 degrees meridional shift of the jet's exit region. However, the variability within the jet and the relative importance of tropical and extratropical processes in driving such variability are not well understood. In this study, SOM analysis is applied to 73 Northern Hemisphere cold seasons of 250-hPa zonal winds to identify 12 characteristic physical jet states, shedding light on the underlying physical processes and downstream impacts of Pacific jet variability.
JOURNAL OF CLIMATE
(2023)
Review
Computer Science, Information Systems
Ashraf Neisari, Luis Rueda, Sherif Saad
Summary: Online public reviews play a significant role in influencing consumer behavior, with fake reviews being a prevalent issue that researchers have been addressing. Different approaches have been introduced to distinguish between genuine and fake reviews, including linguistic and behavioral-based features, as well as the application of machine learning methods such as unsupervised and supervised learning. The proposed method in this study utilizes linguistic features and employs a combination of self-organizing maps and convolutional neural networks to achieve high accuracy in classifying reviews.
COMPUTERS & SECURITY
(2021)
Article
Environmental Sciences
Moses Mogakolodi Kebalepile, Loveness Nyaradzo Dzikiti, Kuku Voyi
Summary: This study used self-organizing maps (SOM) to explore a computational intelligence paradigm for asthma research, combining air quality, clinical data, and socio-demographic data for classification. Age was identified as a more important factor, with older patients more likely to have asthma. The study concluded that self-organizing maps provide effective classification models in studying asthma outcomes, especially when using multidimensional data.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Mathematics, Applied
Guilherme N. B. Sa, Lucas A. A. de Almeida, Marcelo R. R. Thielo, Luiz S. S. Martins-Filho
Summary: In this work, an algorithm based on multiple Kohonen self-organizing maps is proposed to generate multiple simultaneous trajectories for surveillance applications. The proposed algorithm generates trajectories that optimize two-dimensional space filling, avoid self and inter-trajectory crossings, and allow for rapid updates in case of vehicle failure. This strategy provides control over the properties of the trajectories, allowing for customization of point fixation, shape changes, and non-overlapping trajectories for multiple vehicles in surveillance missions, such as unmanned aerial vehicles (UAVs).
COMPUTATIONAL & APPLIED MATHEMATICS
(2023)
Article
Multidisciplinary Sciences
Andreas Weber, Maria D. M. Vivanco, Jose L. Toca-Herrera
Summary: Cell mechanical properties can be used as label free markers for disease diagnosis, such as cancer. Atomic Force Microscopy (AFM) is commonly used to study cell mechanics, but requires skilled users, physical modeling, and data interpretation expertise. Recently, machine learning and artificial neural network techniques have been used to automatically classify AFM datasets. We propose the use of self-organizing maps (SOMs) as unsupervised artificial neural networks to analyze mechanical measurements on breast cancer cells treated with different substances that affect estrogen receptor signaling.
SCIENTIFIC REPORTS
(2023)
Article
Geology
Bijal Chudasama, Johanna Torppa, Vesa Nykanen, Janne Kinnunen
Summary: This paper demonstrates the application of machine learning methods in gold enrichment prospectivity modeling in the Rajapalot project area in Finland. The study shows that unsupervised self-organizing maps and clustering analysis can map deposit-related geological patterns, while supervised artificial neural networks can help define new drilling targets. These findings contribute to the discovery of new exploration areas and optimization of drilling priorities.
ORE GEOLOGY REVIEWS
(2022)
Article
Environmental Sciences
Santos J. Gonzalez-Roji, Jon Saenz, Javier Diaz de Argandona, Gabriel Ibarra-Berastegi
Article
Environmental Sciences
Sheila Carreno-Madinabeitia, Gabriel Ibarra-Berastegi, Jon Saenz, Eduardo Zorita, Alain Ulazia
Article
Green & Sustainable Science & Technology
Alain Ulazia, Gabriel Ibarra-Berastegi
Article
Green & Sustainable Science & Technology
Arrate Santaolalla, Josu Garcia, Naiara Rojo, Astrid Barona, Gorka Gallastegui
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Engineering, Environmental
Astrid Barona, Adrian Malo, Ana Elias, Naiara Rojo, Arrate Santaolalla, Gorka Gallastegui
Summary: The study focuses on the challenge of converting a chemical scrubber into a modular bioreactor without modifying the scrubber's structure, aiming to improve sustainability and reduce costs associated with chemical consumption.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2021)
Article
Thermodynamics
Sheila Carreno-Madinabeitia, Gabriel Ibarra-Berastegi, Jon Saenz, Alain Ulazia
Summary: This study analyzed temporal and spatial changes in offshore wind power density and capacity factor around the Iberian Peninsula during the 20th century. The results showed that mean values were highest in the Atlantic zone and the Gulf of Lyon, and lowest around the Balearic Islands. All indicators in the waters of the Iberian Peninsula showed significant increases over the study period.
Article
Geochemistry & Geophysics
Arrate Santaolalla, Piet N. L. Lens, Astrid Barona, Naiara Rojo, Ainhoa Ocio, Gorka Gallastegui
Summary: The study focuses on recovering metals from mobile phone PCBs through a combined process. The effects of ferric iron and sulfuric acid on the leaching processes for copper and nickel were significant, with the combination of two precipitants effectively removing metals from the leachate.
Article
Thermodynamics
Aitor Saenz-Aguirre, Jon Saenz, Alain Ulazia, Gabriel Ibarra-Berastegui
Summary: This paper analyzes the ability of wave energy converters to maximize hydrogen production in hybrid wind and wave far offshore farms. Through various methods and simulations, the feasibility and applicability of this technology in certain offshore areas are determined, offering a viable solution to improve efficiency and economic profit of offshore farms.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Marine
Aitor Saenz-Aguirre, Alain Ulazia, Gabriel Ibarra-Berastegui, Jon Saenz
Summary: The exploitation of marine wave energy resource has led to the design of numerous Wave Energy Converter (WEC) configurations, with the power absorption of a WEC being closely related to its physical properties and the characteristics of the incoming wave front. In order to improve the operation of a WEC during high wave conditions, a Field Weakening (FW) control functionality is proposed to attenuate the magnetic flux in the PMSLG, resulting in an enhanced performance of the WEC.
Article
Green & Sustainable Science & Technology
Begona Etxebarria, Francisco Sanchez, Naiara Rojo, Astrid Barona
Summary: The competence-based model emphasizes acquiring skills and abilities, but each student's individual circumstances affect the way they learn. Therefore, designing learning activities that consider the diversity of intelligences, abilities, and mindsets is crucial for promoting inclusive education and sustainable development.
Article
Thermodynamics
Aitor Saenz-Aguirre, Alain Ulazia, Gabriel Ibarra-Berastegi, Jon Saenz
Summary: Offshore wind power is a rapidly growing renewable energy source, but its interaction with oceanic waves poses a major challenge. This study proposes a methodology for evaluating energy generation and mechanical fatigue in floating offshore wind turbines. Results show minimal energy loss due to wave interaction, but significant mechanical fatigue in the tower's side-side and fore-aft bending moments.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Environmental
A. Santaolalla, J. Gutierrez, G. Gallastegui, A. Barona, N. Rojo
Summary: This study utilized bacterial cellulose as a novel support material for immobilizing Acidithiobacillus ferrooxidans, aiming to enhance the performance of bioleaching. The results showed that the BC allowed for effective immobilization of the bacteria and provided insights into the impact of various operating parameters on the process. Furthermore, the study revealed that the bacterial activity was successfully recovered after storage and that bacterial cellulose could potentially improve the efficiency of bioleaching.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2021)
Article
Geosciences, Multidisciplinary
Santos J. Gonzalez-Roji, Sheila Carreno-Madinabeitia, Jon Saenz, Gabriel Ibarra-Berastegi
Summary: Comparing two downscaling experiments using the WRF model, the D experiment outperforms the N experiment in simulating atmospheric instability conditions over the Iberian Peninsula. The D experiment shows better correlation, standard deviation, and root mean squared error values for the parameters evaluated. It produces more reliable results due to realistic values of dew point temperature and virtual temperature profiles.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Jon Saenz, Sheila Carreno-Madinabeitia, Ganix Esnaola, Santos J. Gonzalez-Roji, Gabriel Ibarra-Berastegi, Alain Ulazia
GEOSCIENTIFIC MODEL DEVELOPMENT
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Oscar Garcia, Mario Rio, Alain Ulazia, Juan Osa, Gabriel Ibarra-Berastegi
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON SMART CITIES AND GREEN ICT SYSTEMS (SMARTGREENS)
(2019)
Article
Engineering, Environmental
Shun-Shun Chen, Xu-Xiu Chen, Tian-Yu Yang, Li Chen, Zheng Guo, Xing-Jiu Huang
Summary: A temperature-modulated sensing strategy was proposed to identify and determine BTEX compounds. Highly effective identification of BTEX was achieved using linear discrimination and convolutional neural network analyses. Additionally, quantitative analysis of concentration was accomplished by establishing the relationship between concentration and response.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Myungkyung Noh, Jeong Yeon Sim, Jisung Kim, Jee Hwan Ahn, Hye-Young Min, Jong-Uk Lee, Jong-Sook Park, Ji Yun Jeong, Jae Young Lee, Shin Yup Lee, Hyo-Jong Lee, Choon-Sik Park, Ho-Young Lee
Summary: This study reveals that chronic exposure to PM induces chronic inflammation and development of COPD by dysregulating NAD+ metabolism and subsequent SIRT1 deficiency in pulmonary macrophages. Activation of SIRT1 by resveratrol effectively mitigates PM-induced inflammation and COPD development. Targeting metabolic and epigenetic reprogramming in macrophages induced by PM is a promising strategy for COPD treatment.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Yu Liu, Linlin Qin, Yiming Qin, Tong Yang, Haoran Lu, Yulong Liu, Qiqi Zhang, Wenyan Liang
Summary: Co/NC/PAC electrode was prepared by compounding ZIF-67 with powder-activated carbon for the electrocatalytic treatment of nitrogen-containing heterocyclic compounds. The degradation efficiency of the four compounds reached 90.2-93.7% under optimal conditions, and the degradation order was pyridazine < pyrimidine < pyrazine < pyridine.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Julien Couturier, Pierre Tamba Oulare, Blanche Collin, Claire Lallemand, Isabelle Kieffer, Julien Longerey, Perrine Chaurand, Jerome Rose, Daniel Borschneck, Bernard Angeletti, Steven Criquet, Renaud Podor, Hamed Pourkhorsandi, Guilhem Arrachart, Clement Levard
Summary: This study analyzes the properties of bauxite residue samples and explores the influence of bauxite ore origin, storage conditions, and storage time. The results show that the speciation of yttrium is related to the origin of bauxite ore, while no significant variation was observed with storage conditions or aging of the residues.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Sakthinarenderan Saikumar, Ravi Mani, Mirunalini Ganesan, Inbakandan Dhinakarasamy, Thavamani Palanisami, Dharani Gopal
Summary: Microplastic contamination in marine ecosystems poses a growing concern due to its trophic transfer and negative effects on marine organisms. This study investigates the transfer and impacts of polystyrene microplastics in an estuarine food chain. The results show that microplastics can be transferred through the food chain, although the transfer rates are low. The exposed organisms exhibit stress responses, suggesting the potential risk of microplastics reaching humans through the food chain.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Review
Engineering, Environmental
Yan-Jiao Li, Ying Yuan, Wen-Bing Tan, Bei-Dou Xi, Hui Wang, Kun-Long Hui, Jia-Bao Chen, Yi-Fan Zhang, Lian-Feng Wang, Ren-Fei Li
Summary: This review investigated and analyzed the distribution, composition, and abundance of heavy metals and antibiotic resistance genes (ARGs) in landfill. The results showed that heavy metals have lasting effects on ARGs, and complexes of heavy metals and organic matter are common in landfill. This study provides a new basis to better understand the horizontal gene transfer (HGT) of ARGs in landfill.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Jessy Joseph, Ari Vaisanen, Ajay B. Patil, Manu Lahtinen
Summary: Efficient and environmentally friendly porous hybrid adsorbent beads have been developed for the removal of arsenic from drinking water. The structural tuning of the adsorbents has been shown to have a significant impact on their adsorption performance, with high crystallinity leading to increased adsorption capacity and selectivity towards As5+.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Yangyang Liu, Minhua Xiao, Kaiqin Huang, Juntao Cui, Hongli Liu, Yingxin Yu, Shengtao Ma, Xihong Liu, Meiqing Lin
Summary: This study measured the levels of phthalate metabolites in breast milk collected from mothers in southern China. The results showed that phthalates are still prevalent in the region, and breastfeeding contributes to phthalate intake in infants. However, the levels detected do not pose significant health risks to infants based on dietary exposure. The increasing exposure to certain phthalates calls for further research into their sources and potential risks.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Zhiqiang Wu, Jianxing Sun, Liting Xu, Hongbo Zhou, Haina Cheng, Zhu Chen, Yuguang Wang, Jichao Yang
Summary: Ocean depth affects microbial diversity, composition, and co-occurrence patterns of microplastic microbial communities. Deterministic processes dominate the assembly of mesopelagic plastisphere microbial communities, while stochastic processes shape the assembly of bathypelagic microbial communities. The relationships between microorganisms in the mesopelagic layer are more complex and stable, with Proteobacteria and Actinobacteriota playing important roles.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Tingting Xiao, Renjie Chen, Chen Cai, Shijie Yuan, Xiaohu Dai, Bin Dong, Zuxin Xu
Summary: Based on the efficiency of catalytic ozonation techniques in enhancing sludge dewaterability, this study investigated its effectiveness in simultaneous reduction of antibiotics and antibiotic resistance genes. The results showed that catalytic ozonation conditioning changed the distribution of antibiotics and achieved high degradation rates. It also significantly reduced the abundance of ARGs, inhibited horizontal gene transfer, and decreased the signal transduction of typical ARGs host bacteria.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Yang Deng, Xiaohong Guan
Summary: This article discusses two different development approaches for ferrate(VI) technology in water treatment, arguing that process integration is a promising method that can drive technological innovation and revolution in water treatment, achieving higher treatment efficiency, reduced costs and energy consumption, and a smaller physical footprint.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Zhe Zhang, Lu Zhang, Zhihao Huang, Yuxin Xu, Qingqing Zhao, Hongju Wang, Meiqing Shi, Xiangnan Li, Kai Jiang, Dapeng Wu
Summary: In this study, a floating catalytic foam was designed and prepared to enhance the mass transfer in immobilized photocatalysts for wastewater treatment. The floating catalytic foam could float on the water surface and establish a temperature gradient, effectively promoting the diffusion and adsorption of target molecules during the photocatalytic process.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Muhammad Nafees, Adiba Khan Sehrish, Sarah Owdah Alomrani, Linlin Qiu, Aasim Saeed, Shoaib Ahmad, Shafaqat Ali, Hongyan Guo
Summary: The accumulation of cadmium and antibiotics in edible plants and fertile soil is a worldwide problem. This study investigated the potential of zinc oxide nanoparticles to alleviate the toxicity of both cadmium and antibiotics and promote spinach growth.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Lurui Wan, Kai Wang, Yuan Chen, Zhiyong Xu, Wenbo Zhao
Summary: In this study, a low viscosity and high thermal stability SO2 absorbent with dual interacting sites was successfully synthesized. The absorbent showed the highest absorption enthalpy change and entropy change values among reported SO2 absorbents, and exhibited lower viscosity and comparable thermal stability to ILs.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Environmental
Zhengwei Zhou, Guojie Ye, Yang Zong, Zhenyu Zhao, Deli Wu
Summary: This study utilized Mo powder and STPP to enhance the performance of the sodium percarbonate system in pollutant degradation. The presence of Mo and STPP resulted in a higher degradation rate of the model pollutant SMX, with low oxidant consumption. The system generated multiple active species through a series of chain reactions at different pH values, exhibiting excellent performance towards electron-rich pollutants. Furthermore, Mo demonstrated excellent stability and reusability.
JOURNAL OF HAZARDOUS MATERIALS
(2024)