Article
Geosciences, Multidisciplinary
Jose Joao Lelis Leal de Souza, Fernanda Evelin de Castro, Claudio Vinicius Pedroso de Azevedo Andrade, Joao Carlos Ker, Archimedes Perez
Summary: This study investigates the soils formed on pisoliths and sandstones in the Brazilian semiarid, providing insights into the pedosedimentary and paleoenvironmental histories of the Late Glacial/Holocene pedosequence. The formation of isolated plateaus in the Brazilian semiarid resulted from differential erosion. Pedogenesis and erosion/sedimentation-driven pedogenesis influenced the development of deep, dystrophic soils in the plateaus from the Late Glacial Maximum to the Holocene. The presence of similar parent materials and buried horizons suggests a consistent formation process in the plateaus.
Article
Engineering, Biomedical
Hao Zhang, Luis Gomez, Johann Guilleminot
Summary: This study investigates the impact of segmentation accuracy on the prediction of transcranial magnetic stimulation (TMS) induced electric field (E-field). Results show that segmentation errors have negligible effects on E-field predictions in scalp, skull, and white matter regions, but have a significant impact when it comes to cerebrospinal fluid (CSF) segmentation errors. This research provides important insights for improving the accuracy of TMS simulations.
JOURNAL OF NEURAL ENGINEERING
(2022)
Article
Mathematics, Interdisciplinary Applications
J-C Cortes, A. Moscardo-Garcia, R-J Villanueva
Summary: In this paper, a new approach based on the theory of Random Differential Equations is presented to probabilistically solve a logistic model with harvesting, where all model parameters are treated as random variables with arbitrary joint probability distributions. The method takes advantage of the Random Variable Transformation to compute the first probability density function of the solution. The probabilistic analysis includes the computation of equilibrium states and stability probabilities. The theoretical findings are illustrated with numerical examples and applied to real data.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Nuclear Science & Technology
L. Duran-Vinuesa, D. Cuervo
Summary: In the past decade, best estimate plus uncertainty methodologies have gained popularity in nuclear technology and power plant design. Different uncertainty assessment methods, particularly non-parametric methods, have become popular. However, better depiction of uncertainty is needed for uncertainty propagation through different codes.
NUCLEAR ENGINEERING AND TECHNOLOGY
(2021)
Article
Clinical Neurology
Paulina B. Sergot, Andrew J. Maza, Bruce J. Derrick, Lane M. Smith, Liam T. Berti, Madeleine R. Wilcox, Matthew R. Kesinger, W. Frank Peacock
Summary: The study investigated a portable LVO-detection device (PLD) using electroencephalography and somatosensory-evoked potentials to identify LVO stroke with superior accuracy and discrimination compared to prehospital stroke scales. Future research is needed to validate the potential of PLD as an LVO triage aid in prehospital undifferentiated stroke populations.
Article
Mathematics, Interdisciplinary Applications
Eduardo Souza de Cursi
Summary: This study examines the applicability of Uncertainty Quantification in Game Theory, focusing on classical games like matching pennies and Hawk and Dove. Through observations and statistical estimations, methods of UQ are applied to analyze uncertainties in game situations and their effects on replicator dynamics.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Construction & Building Technology
Qiangqiang Sun, Daniel Dias
Summary: Tunnel damages are increasing worldwide in major earthquakes, and this research introduces stochastic dynamic time-history analysis to quantify the variability of seismic-induced tunnel deformations in a probabilistic framework. The results indicate that parameter uncertainty has a significant impact on tunnel seismic deformations, including an increase in standard deviation with increased motion intensity and the effect of distribution types on the results.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2022)
Article
Engineering, Mechanical
A. Gray, A. Wimbush, M. de Angelis, P. O. Hristov, D. Calleja, E. Miralles-Dolz, R. Rocchetta
Summary: This paper presents a framework for addressing engineering design challenges with limited empirical data and partial information, including characterisation of uncertainties, data integration, reliability analysis, and risk/reliability based design optimization. The framework's efficacy has been demonstrated through its application to the NASA 2020 uncertainty quantification challenge.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Industrial
Zihan Wang, Mohamad Daeipour, Hongyi Xu
Summary: This paper proposes a new methodology to quantify and propagate aleatoric uncertainties distributed in complex topological structures. It introduces a random field-based uncertainty representation approach that captures the topological characteristics using the shortest interior path distance. Parameterization methods and non-intrusive uncertainties propagation methods are employed to propagate the uncertainties. Engineering case studies demonstrate the effectiveness of the proposed methodology.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Civil
Abdul-Kader El Haj, Abdul-Hamid Soubra
Summary: This paper introduces a cost-effective probabilistic approach in engineering applications, consisting of an improved Kriging-based method to minimize the number of evaluations of the true performance function when computing a failure probability. The proposed approach, a variant of the classical Active learning method combining Kriging and Monte Carlo Simulation, has shown great efficiency compared to the classical AK-MCS approach.
Article
Engineering, Multidisciplinary
Frederic Allaire, Vivien Mallet, Jean-Baptiste Filippi
Summary: A novel approach is proposed to generate calibrated ensembles for predicting wildland fire spread, using a pseudo-likelihood function involving Wasserstein distance. The calibrated ensembles are obtained through a Gaussian process emulator, leading to improved overall accuracy in predictions. The posterior probability distribution of inputs favors lower values of rate of spread and lower uncertainty in wind direction, reducing overprediction while maintaining coverage of observed burned areas.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Ecology
Jody R. Reimer, Frederick R. Adler, Kenneth M. Golden, Akil Narayan
Summary: Uncertainty in parameters in ecological models can be incorporated by treating parameters as random variables with distributions. Recent advances in uncertainty quantification methods provide new approaches for analyzing models with random parameters. Modelling key parameters as random variables changes the characteristics of the model. The computational efficiency of polynomial chaos methods helps in better predicting and synthesizing models with data.
Article
Public, Environmental & Occupational Health
Ivette Raices Cruz, Matthias C. M. Troffaes, Ullrika Sahlin
Summary: Honest communication of uncertainty is important for transparency in scientific assessments. The European Food Safety Authority recommends expressing epistemic uncertainty quantitatively using subjective probability and bounded probability can reflect individual's knowledge strength.
Article
Energy & Fuels
Xiaojie Lin, Yihui Mao, Jiaying Chen, Wei Zhong
Summary: This paper proposes a method to calculate the nodes' temperature dynamic response of the district heating system (DHS) under multiple source-load uncertainty scenarios. The effects of source-load uncertainty boundary conditions on the DHS transport process are analyzed. The simulation results show the effectiveness of the proposed models and algorithms in quantifying the nodes' dynamic temperature response.
Article
Engineering, Multidisciplinary
N. Senin, S. Catalucci, M. Moretti, R. K. Leach
Summary: This work proposes an approach to investigate measurement uncertainty in coordinate metrology by fitting Gaussian random fields to high-density point clouds. The fitted field provides a spatial distribution of random measurement error over part geometry, and allows for Monte Carlo simulation to study error propagation through the data processing pipeline affecting feature determination and conformance verification. The approach is validated with simulated test cases and real part measurements, demonstrating its usefulness for estimating measurement uncertainty and evaluating measurement solutions in industrial part inspection.
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2021)
Article
Soil Science
Ndiye M. Kebonye, Kingsley John, Somsubhra Chakraborty, Prince C. Agyeman, Samuel K. Ahado, Peter N. Eze, Karel Nemecek, Ondrej Drabek, Lubos Boruvka
Summary: This study compared the accuracy of different regression models in estimating total arsenic in polluted floodplain soils of Pribram, Czech Republic, showing that all four models were able to accurately predict arsenic levels. Future research should consider including additional predictors and covering a wider range of soils to improve model robustness.
Article
Geochemistry & Geophysics
Ndiye M. Kebonye, Peter N. Eze, Kingsley John, Asa Gholizadeh, Julie Dajcl, Ondrej Drabek, Karel Nemecek, Lubos Boruvka
Summary: The study demonstrates the application of SGS and SeOM-ANN in heavily polluted mining floodplain soils in Europe, providing a powerful visualization tool for categorizing PTE concentration levels.
JOURNAL OF GEOCHEMICAL EXPLORATION
(2021)
Article
Soil Science
Peter N. Eze, Loago N. Molwalefhe, Ndiye M. Kebonye
Summary: By analyzing the pedogenic parameters and geochemical compositions of the Okavango Delta soils, this study sheds light on the complex pedogenic processes in the area, including alkaline soil environment, gleying phenomenon, and the presence of minerals such as calcite, quartz, and opal-CT. It demonstrates the importance of soil morphological, geochemical, and mineralogical properties in evaluating pedogenic processes and classification.
Article
Engineering, Environmental
Ndiye M. Kebonye, Peter N. Eze, Kingsley John, Prince C. Agyeman, Karel Nemecek, Lubos Boruvka
Summary: This study provides a detailed assessment of PTEs in highly polluted floodplain topsoil samples from the Litavka River in Czech Republic, with elements like Zn, As, and Pb being identified as enriched. Children were found to have higher health risks from all PTEs compared to adults, especially with elevated levels of As, Zr, and Pb.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2022)
Article
Agricultural Engineering
Ndiye M. Kebonye, Peter N. Eze, Prince C. Agyeman, Kingsley John, Samuel K. Ahado
Summary: The study compared the performance of KSOM-NN and t-SNE in characterizing soil quality indicators in agricultural dryland, with t-SNE showing superior visualization capabilities. Strong positive associations were found between some soil quality indicators, and the results have implications for agricultural soil management and decision-making. The study also provides preliminary findings for verifying detailed aspects of soil biogeochemistry in the future.
BIOSYSTEMS ENGINEERING
(2021)
Article
Metallurgy & Metallurgical Engineering
Sultan Abulkhair, Nasser Madani
Summary: This work addresses the quantification of iron content in a coal deposit in Kazakhstan. A workflow was introduced to construct a representative training image and model geological domains using geostatistics techniques. The results showed successful modeling of iron distribution in the coal deposit.
MINING METALLURGY & EXPLORATION
(2022)
Article
Geosciences, Multidisciplinary
Lynda M. Petherick, Jasper Knight, James Shulmeister, Helen Bostock, Andrew Lorrey, Jennifer Fitchett, Shaun Eaves, Marcus J. Vandergoes, Timothy T. Barrows, David J. A. Barrell, Peter N. Eze, Paul Hesse, Ignacio A. Jara, Stephanie Mills, Rewi Newnham, Joel Pedro, Matt Ryan, Krystyna M. Saunders, Duanne White, Maisa Rojas, Chris Turney
Summary: Proxy records indicate significant variability in climatic and environmental conditions across the Southern Hemisphere prior to the global last glacial maximum. This complexity suggests a different development pattern in the Southern Hemisphere compared to the North. Temperature and precipitation patterns show that local factors played a significant role in driving moisture availability.
EARTH-SCIENCE REVIEWS
(2022)
Article
Agriculture, Multidisciplinary
Ndiye M. Kebonye, Prince C. Agyeman, Zibanani Seletlo, Peter N. Eze
Summary: The benefits of digital soil maps cannot be overstated, but identifying complex spatial associations between soil properties may be challenging.
PRECISION AGRICULTURE
(2023)
Article
Environmental Sciences
Evelyn O. Obidike-Ugwu, Joshua O. Ogunwole, Peter N. Eze
Summary: A pedotransfer function was developed to estimate the bulk density of topsoils in Nimbia Forest Reserve, Nigeria. The function used easily measured soil variables and showed statistical significance in terms of validation metrics. This function will be valuable for calculating soil organic carbon stocks and supporting decision-making for sustainable soil management and climate change mitigation.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2023)
Article
Multidisciplinary Sciences
Chukwuebuka C. Okolo, Girmay Gebresamuel, Amanuel Zenebe, Mitiku Haile, Jephter E. Orji, Chinyere B. Okebalama, Chinedu E. Eze, Emmanuel Eze, Peter N. Eze
Summary: This study investigates the distribution of soil organic carbon (SOC) and total nitrogen (TN) in different land use types in semi-arid Ethiopia. The results show that forests have higher SOC and TN stocks compared to croplands, grazing lands, and exclosures. Conversion of forest to cropland leads to a significant loss of SOC stock and an increase in CO2 emissions. The establishment of exclosures on degraded grazing land can increase SOC stock.
SCIENTIFIC REPORTS
(2023)
Article
Soil Science
Yvette Matshameko, Ndiye M. Kebonye, Peter N. Eze
Summary: This study explores the criteria used by indigenous potters in classifying pottery-making soils in southern Botswana and presents the pedological parameters of the soils. The major factors used for classification are color, texture, and plasticity. The findings show that the scientific analysis data align with the indigenous soil classification system, and the study emphasizes the importance of these findings in the sustainable soil management.
Article
Mathematics
Nasser Madani
Summary: Sequential indicator simulation is a popular algorithm for modeling geological features, but its ability to capture long-range geological features has been a topic of debate. This study proposes an improved Bayesian sequential indicator simulation approach that incorporates soft data and assigns weights to their probabilities. Experimental results demonstrate that this method outperforms other techniques in reproducing long-range geological features while maintaining consistency with other statistical measures.
Article
Geochemistry & Geophysics
Peyman Afzal, Hamid Gholami, Nasser Madani, Amir Bijan Yasrebi, Behnam Sadeghi
Summary: Mineral resource classification is an important step in mineral exploration and mining engineering. In this study, copper and molybdenum resources were classified using a combination of Turning Bands Simulation (TBSIM) and the Concentration-Volume (C-V) fractal model based on Conditional Coefficient of Variation (CCV) in the Masjed Daghi porphyry deposit, NW Iran. 100 scenarios for the local variability of copper were simulated using TBSIM and CCVs were calculated for each realization. Furthermore, different populations for these CCVs were distinguished using C-V fractal modeling. C-V log-log plots indicated a multifractal nature and ring structure for the Measured, Indicated, and Inferred classes in this deposit. The results obtained using this hybrid method were compared with CCV-Tonnage graphs. Finally, the geostatistical and fractal simulation results showed that the marginal parts of this deposit constitute inferred resources and require more information from exploration boreholes.
Article
Soil Science
Yvette Matshameko, Chukwuebuka C. Okolo, Peter N. Eze
Summary: This study characterizes the near-surface pedosediments of the Takatokwane pan in southern Botswana, exploring past and active pedogenic processes and interpreting the properties of the pedosediments in light of environmental change. The results show cycles of humid pedogenesis and deposition, chemical precipitation, and post-depositional alteration under changing environmental conditions. Evidence from this study points to the seasonality of the environment, which could contribute to a better understanding of the evolution in the Takatokwane pan and the Kalahari Basin.
Article
Environmental Sciences
Peter N. Eze, Samuel K. Kumahor, Ndiye M. Kebonye
Summary: This study used SGS technique to map the spatial distribution of Cu concentration in an arable dryland in Botswana and found that low copper content zones were located around the northern and southern edges, while high content zones were in the interior. Compared to kriging interpolation, SGS showed better performance in mapping Cu concentration.
MODELING EARTH SYSTEMS AND ENVIRONMENT
(2022)