Article
Computer Science, Information Systems
Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Summary: Magnetic Hamiltonian Monte Carlo (MHMC) provides efficient sampling of the target posterior by utilizing non-canonical Hamiltonian dynamics, while partial momentum refreshment can improve sampling behavior.
Article
Economics
Nianling Wang, Zhusheng Lou
Summary: The stochastic volatility (SV) model is widely used to study time-varying volatility. However, the linearity assumption for transition equation in basic SV model is restrictive. To allow for nonlinearity, we proposed a semiparametric SV model that specifies a nonparametric transition equation for log-volatility using natural cubic splines. The empirical applications to Bitcoin and convertible bond return data indicate that the transition equations of their log-volatility are highly nonlinear. Taking nonlinearity into account, the semi-parametric SV model can improve the likelihood of the basic SV model both in-sample and out-of-sample.
ECONOMIC MODELLING
(2023)
Review
Statistics & Probability
Christopher Nemeth, Paul Fearnhead
Summary: MCMC algorithms are considered the gold standard technique for Bayesian inference, but the computational cost can be prohibitive for large datasets, leading to the development of scalable Monte Carlo algorithms. One type of these algorithms is SGMCMC, which reduces per-iteration cost by utilizing data subsampling techniques.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2021)
Editorial Material
Economics
Mark Bognanni
Summary: This article introduces a method for fully Bayesian inference in the VAR-SV model and compares the different effects of using the triangular algorithm and the systemwide algorithm in the MCMC algorithm.
JOURNAL OF ECONOMETRICS
(2022)
Article
Engineering, Multidisciplinary
Ke Zhang, Kailun Su, Yunhan Yao, Qingsong Li, Suan Chen
Summary: This paper presents a dynamic evaluation model of Markov chain Monte Carlo (MCMC) roundness error measurement uncertainty based on a stochastic process. The model samples the stochastic process using the MCMC method and calculates the state transition function to reflect the autocorrelation characteristics of the parameters. A comparison between high-precision and low-precision measurements verifies the accuracy and stability of the model, showing that the MCMC method is consistent with the traditional GUM method and Monte Carlo method. The MCMC method based on the stochastic process achieves dynamic evaluation of roundness error measurement uncertainty, obtaining accurate results and improving the evaluation accuracy.
Article
Engineering, Mechanical
P. L. Green, L. J. Devlin, R. E. Moore, R. J. Jackson, J. Li, S. Maskell
Summary: This paper discusses the optimization of the 'L-kernel' in Sequential Monte Carlo samplers to improve performance, resulting in reduced variance of estimates and fewer resampling requirements.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Review
Green & Sustainable Science & Technology
D. Hou, I. G. Hassan, L. Wang
Summary: Building Energy Model (BEM) calibration is crucial for accuracy, with recent focus on stochastic Bayesian inference calibration. However, confusion remains regarding theory, strengths, limitations, and implementations. Selecting appropriate mathematical models and tools poses a challenge.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Physics, Multidisciplinary
Anna Pajor
Summary: This paper introduces a new method for estimating the Bayes factor, with simulation examples confirming its good performance. Additionally, it is found that the validity of reducing the hybrid MSV-MGARCH model to the MGARCH specification depends on the analyzed dataset and prior assumptions about model parameters.
Article
Computer Science, Interdisciplinary Applications
DanHua ShangGuan
Summary: The Monte Carlo method is a powerful tool in many research fields, but the increasing complexity of physical models and mathematical models requires efficient algorithms to overcome the computational cost.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Mechanical
Adolphus Lye, Alice Cicirello, Edoardo Patelli
Summary: This tutorial paper reviews the use of advanced Monte Carlo sampling methods in Bayesian model updating for engineering applications, introducing different methods and comparing their performance. Three case studies demonstrate the advantages and limitations of these sampling techniques in parameter identification, posterior distribution sampling, and stochastic identification of model parameters.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Chemistry, Inorganic & Nuclear
Enrico Tarabini, Oliviero Cremonesi, Elena Di Stefano, Daniele Pedrini, Massimiliano Clemenza
Summary: In this work, gamma-ray spectrometry with HPGe detectors was used to measure the specific activity (Asp) of radionuclides in soils. The paper presents a general procedure for assessing the Asp in soils through in-situ acquisitions. Soil samples from two experimental sites were analyzed in the field with a portable HPGe detector and in the laboratory with a BEGe detector. Monte Carlo simulations were used to determine the detectors' efficiency at different gamma-ray energies and to assess the radionuclides' Asp from in-situ acquisitions. Finally, the applicability and limitations of this procedure are discussed.
APPLIED RADIATION AND ISOTOPES
(2023)
Article
Computer Science, Artificial Intelligence
Sergio Hernandez, Xaviera Lopez-Cortes
Summary: Early detection of COVID-19 is crucial for controlling the pandemic. Deep learning techniques have shown high accuracy in automatic COVID-19 detection, but lack of external evaluation and data scarcity pose challenges. This paper proposes SGLD-based approach to consider model uncertainty and evaluates it using convergence properties and predictive densities, achieving reduced overconfidence and retained predictive accuracy.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Engineering, Industrial
Dorina Weichert, Alexander Kister, Peter Volbach, Sebastian Houben, Marcus Trost, Stefan Wrobel
Summary: This paper introduces the theoretical concept of high-precision manufacturing, representing it as POMDP and deriving an offline strategy using MCTS. It addresses the challenges of continuous observation space and explainability requirements, emphasizing the need for a tradeoff between quantitative performance and explainability. The paper provides valuable guidance for high-precision manufacturing practitioners through the design and validation of a white-box simulation and examination of state-of-the-art solvers.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Automation & Control Systems
Yoav Freund, Yi-An Ma, Tong Zhang
Summary: There has been a growing body of research on bridging MCMC sampling and optimization, focusing on adapting convergence analysis techniques from optimization to the Langevin algorithms in MCMC sampling. This paper provides a positive answer to the long-standing question of whether dimension independent convergence rates can be achieved by the Langevin algorithm for Lipschitz or smooth convex functions with normal priors. By treating the Langevin algorithm as composite optimization, a new analysis technique is developed, leading to dimension independent convergence rates for such problems.
JOURNAL OF MACHINE LEARNING RESEARCH
(2022)
Article
Engineering, Environmental
Marco Bacci, Jonas Sukys, Peter Reichert, Simone Ulzega, Carlo Albert
Summary: Due to limited knowledge about complex environmental systems, predicting their behavior under different scenarios or decision alternatives is uncertain. Considering, quantifying, and communicating this uncertainty is important for societal decisions. Stochastic models are often necessary to adequately describe uncertainty, but calibrating these models presents methodological and numerical challenges. To address this, we compare three numerical approaches and find that their performance is comparable for analyzing a stochastic hydrological model with hydrological data, suggesting that generality and practical considerations can guide technique choice for specific applications.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Soil Science
Peipei Xue, Budiman Minasny, Alex McBratney, Vanessa Pino, Mario Fajardo, Yu Luo
Summary: Microorganisms play crucial roles in soil processes, and different microbial functional groups control nutrient cycling in soils. This study investigated the environmental and soil factors that drive the distribution of bacterial functional groups involved in soil carbon cycling. The results showed that temperature, rainfall, and soil properties significantly influenced the bacterial functional groups, and agricultural practices also had significant impacts on the composition and responses of these groups.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2023)
Editorial Material
Environmental Sciences
Cornelia Rumpel, Farshad Amiraslani, Deborah Bossio, Claire Chenu, Magali Garcia Cardenas, Beverley Henry, Alejandro Fuentes Espinoza, Lydie-Stella Koutika, Jagdish Ladha, Beata Emoke Madari, Budiman Minasny, Adesola Olaleye, Saidou Nourou Sall, Yasuhito Shirato, Jean-Francois Soussana, Consuelo Varela-Ortega
REGIONAL ENVIRONMENTAL CHANGE
(2023)
Article
Environmental Sciences
Xiao-Lin Sun, Budiman Minasny, Yun-Jin Wu, Hui-Li Wang, Xiao-Hui Fan, Gan -Lin Zhang
Summary: The increase in soil organic carbon (OC) in China over the past two decades suggests that atmospheric carbon dioxide is being sequestered into the soil, mitigating climate change and improving soil health. However, there have also been reports of soil pH decrease nationwide, which may negatively impact soil quality for food production and the environment. This study investigates the relationship between soil OC and pH using large-scale soil survey data from two provinces in China and finds that the changes in OC and pH are significantly correlated, with increased soil nitrogen content as the linking factor. The decrease in pH is particularly significant in the eastern region of China, where soils are more neutral in pH. The study recommends exploring alternative methods of carbon sequestration in soil to avoid potential acidification effects caused by excessive nitrogen application.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Soil Science
Jonathan Sanderman, Asa Gholizadeh, Zampela Pittaki-Chrysodonta, Jingyi Huang, Jose Lucas Safanelli, Richard Ferguson
Summary: Large and publicly available soil spectral libraries are valuable resources for estimating soil properties. In this study, it was found that models developed using the USDA NSSC-KSSL MIR library could be successfully transferred to a secondary instrument with appropriate preprocessing and calibration transfer techniques.
SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
(2023)
Article
Environmental Studies
Yuxin Ma, Budiman Minasny, Valerie Viaud, Christian Walter, Brendan Malone, Alex McBratney
Summary: Soil organic carbon (SOC) redistribution plays a significant role in affecting soil quality. This study introduces a coupled-model combining RothPC-1 and a soil redistribution model to simulate SOC changes in the Lower Hunter Valley area. Results show that erosion is mainly predicted in upslope areas and deposition in low-lying areas. The study emphasizes the importance of considering soil redistribution in SOC dynamics modeling to avoid overestimation of SOC stocks.
Article
Geosciences, Multidisciplinary
Peipei Xue, Budiman Minasny, Alex McBratney, Neil L. Wilson, Yijia Tang, Yu Luo
Summary: Soil microbial communities are influenced by soil types and land use. This study investigated contrasting soils of natural forest and cropped vineyard in New South Wales, Australia and found that land use affected the bacterial community distribution in the topsoil, while soil types influenced the assembly of microbial communities in the subsoil. The study also revealed a decrease in topsoil organic carbon in the vineyard compared to the forest, which was correlated with changes in C-related genes and potentially accelerated carbon loss.
Article
Geosciences, Multidisciplinary
Andree M. Nenkam, Alexandre M. J. -C. Wadoux, Budiman Minasny, Alex B. McBratney, Pierre C. S. Traore, Anthony M. Whitbread
Summary: Many areas in the world lack sufficient soil data, leading to ineffective soil-related studies and inadequate soil management strategies. This paper demonstrates how to find "homosoils", which are geographically distant but share similar soil-forming factors, in order to obtain new soil data for a study area. By clustering the study area into homogeneous areas and identifying a homosoil for each area using distance metrics, this approach provides a solution to the problem of sparse soil data. The concept of homosoils shows promise for future applications such as transferring soil models and agronomic experimental results between areas.
Article
Environmental Sciences
Chiara Pasut, Fiona H. M. Tang, Budiman Minasny, Charles R. Warren, Feike A. Dijkstra, William J. Riley, Federico Maggi
Summary: In this study, the turnover time of soil organic carbon (SOC) pools in global wetlands and the governing processes were quantified using a comprehensive process-based biogeochemical model. The results showed that SOC turnover time ranged from 1 to 1,000 years and was mainly controlled by anaerobic and aerobic respiration, as well as abiotic destabilization from soil minerals. The findings also revealed seasonal variability in SOC turnover, indicating the need for better accounting of seasonal fluctuations to estimate carbon exchanges between wetlands and the atmosphere at geographic scales.
GLOBAL BIOGEOCHEMICAL CYCLES
(2023)
Article
Multidisciplinary Sciences
Alexandre M. J-C. Wadoux, Mercedes Roman Dobarco, Brendan Malone, Budiman Minasny, Alex B. McBratney, Ross Searle
Summary: This article introduces a new dataset of high-resolution gridded total soil organic carbon content data across Australia. The dataset includes six maps of soil organic carbon content at two resolutions and provides uncertainty estimates. The maps were obtained through interpolation of organic carbon measurements and validation showed small errors and adequate prediction uncertainty. These soil carbon maps are important for monitoring carbon stock changes and assessing the influence of climate change, land management, and greenhouse gas offset.
Article
Environmental Sciences
Jie Hu, Alfred E. Hartemink, Ankur R. Desai, Philip A. Townsend, Rose Z. Abramoff, Zhe Zhu, Debjani Sihi, Jingyi Huang
Summary: Current carbon cycle models have focused on the effects of climate and land-use change on primary productivity and microbial-mineral dependent carbon turnover in the topsoil, but have overlooked the importance of vertical soil processes and soil response to land-use change along the profile. In this study, spatial-temporal analysis was used to estimate soil organic carbon (SOC) change at NEON sites in the USA over 30 years. The study found that different soil types and land-use practices had significant impacts on SOC accumulation or loss, and identified runoff/erosion, leaching potential, vertical translocation, and mineral sorption as the key factors controlling SOC variation.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
Article
Environmental Sciences
Budiman Minasny, Diana Vigah Adetsu, Matt Aitkenhead, Rebekka R. E. Artz, Nikki Baggaley, Alexandra Barthelmes, Amelie Beucher, Jean Caron, Giulia Conchedda, John Connolly, Raphael Deragon, Chris Evans, Kjetil Fadnes, Dian Fiantis, Zisis Gagkas, Louis Gilet, Alessandro Gimona, Stephan Glatzel, Mogens H. Greve, Wahaj Habib, Kristell Hergoualc'h, Cecilie Hermansen, Darren B. Kidd, Triven Koganti, Dianna Kopansky, David J. Large, Tuula Larmola, Allan Lilly, Haojie Liu, Matthew Marcus, Maarit Middleton, Keith Morrison, Rasmus Jes Petersen, Tristan Quaife, Line Rochefort, Linda Rudiyanto, Linda Toca, Francesco N. Tubiello, Peter Lystbaek Weber, Simon Weldon, Wirastuti Widyatmanti, Jenny Williamson, Dominik Zak
Summary: Peatlands, covering only a small percentage of the Earth's surface, are a significant carbon store. However, they are under threat due to degradation. To protect and reduce emissions from these carbon-rich ecosystems, countries have implemented regulations. This paper reviews the current state of knowledge on mapping and monitoring peatlands and highlights the need for more consistent approaches.
Article
Ecology
Mercedes Roman Dobarco, Alexandre M. J-C. Wadoux, Brendan Malone, Budiman Minasny, Alex B. McBratney, Ross Searle
Summary: This study analyzed the soil organic carbon (SOC) composition in Australia, and found that it consists of three fractions: mineral-associated organic carbon (MAOC), particulate organic carbon (POC), and pyrogenic organic carbon (PyOC). These fractions have distinct turnover rates and are influenced differently by different soil environments.
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)