Article
Computer Science, Interdisciplinary Applications
M. Amine Atoui, Vincent Cocquempot
Summary: This paper presents a new approach to detect and identify root causes in multivariate processes, which reduces risks and costs. The approach is based on statistical foundations and simplifies the complexity of the well-known Bayesian network-based method. Comparison and performance evaluation demonstrate the feasibility and importance of the new proposal.
COMPUTERS IN INDUSTRY
(2023)
Article
Engineering, Marine
Diogo Oliveira, Alison Moraes, Moacyr Cardoso Junior, Leonardo Marini-Pereira
Summary: The paper investigates the use of the FRAM and BBN to analyze the variability in the RNP navigation system during the approach phase. It demonstrates the importance of these methods in quantitatively interpreting the functions relevant to the RNP approach procedure.
JOURNAL OF NAVIGATION
(2023)
Article
Business
Thomas Clauss, Paavo Ritala
Summary: Interorganizational network governance provides shared principles affecting interaction and value creation. Previous research focused on specific governance mechanisms, neglecting institutionalization in the network. To address this, we propose a model with regulative, normative, and cultural-cognitive dimensions. Testing it on 145 German firms, we find affective conflicts harm network benefits, while cognitive conflicts are beneficial. Additionally, each governance dimension plays a specific role in facilitating or suppressing conflicts.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Engineering, Industrial
Yunyeong Heo, Seung Jun Lee
Summary: This paper introduces an intuitive and simple model for pre-assessment of multi-unit probabilistic safety assessment (PSA) that can assist risk-informed decision making in a relatively short time. The model deducts multi-unit seismic conditional core damage probability (MUSCCDP) with a Bayesian belief network, considering the impact of seismic intensity and seismic correlation on MUSCCDP, and analyzing the importance of components in multiple units. Further uncertainty analyses are suggested before accepting the PSA results.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Artificial Intelligence
Zhe Liu
Summary: Multi-sensor data fusion is important for integrating information efficiently, but the collected information may be uncertain and conflicting. This paper proposes a novel belief Sorensen coefficient (BSC) to quantify the conflict of evidence based on belief functions theory (BFT). The BSC is further used to design a new multi-sensor data fusion method, which is demonstrated to be effective and practical through numerical examples and application cases.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Water Resources
Ikechukwu Kalu, Christopher E. Ndehedehe, Onuwa Okwuashi, Aniekan E. Eyoh, Vagner G. Ferreira
Summary: In this study, a machine learning framework based on deep learning was developed to predict groundwater level changes in the Southern African region. The deep learning model showed promise in evaluating nonlinear hydrological systems and accurately forecasting groundwater level fluctuations based on climate variables and global climate indices.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Computer Science, Interdisciplinary Applications
Liting Jing, Bowen Tan, Shaofei Jiang, Junfeng Ma
Summary: This study proposes a holistic framework based on the fuzzy Bayesian Network to explore the adaptability of Additive Manufacturing (AM) technology. By integrating impact factors summarized from existing literature and industrial experience, a fuzzy Bayesian Network-based model is developed to quantify the adaptability of AM. The results demonstrate the robustness and reliability of the approach in the aircraft industry.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Geochemistry & Geophysics
Jiaan Wang, Wei Xiong, James B. Gardiner, Brandon C. McAdams, Brian W. Stewart, R. Burt Thomas, J. Alexandra Hakala, Christina L. Lopano, Mitchell J. Small
Summary: Early detection of CO2 leakage through monitoring is important to ensure long-term safety for geologic carbon storage (GCS). A geochemically informed leak detection (GILD) model has been developed for groundwater chemistry monitoring at CO2 injection sites. This research illustrates a method of identifying CO2 leakage into aquifers with both geochemical and statistical tools.
APPLIED GEOCHEMISTRY
(2023)
Article
Psychology, Multidisciplinary
James Shyan-Tau Wu, Christoph Hauert, Claire Kremen, Jiaying Zhao
Summary: Polarization and cognitive inflexibility create a positive feedback loop, which is a threat response that strengthens group bonds and increases individual fitness. In a highly polarized society, people mostly interact within their own groups, leading to rigid cognitive specialization. Although this specialization benefits individuals in the short term, it can contribute to more polarization and conflict between groups in the long run.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Lea Vojkovic, Ana Kuzmanic Skelin, Djani Mohovic, Damir Zec
Summary: An integrative approach using Bayesian networks is proposed for maritime accident risk factor assessment, with a novel quantitative assessor introduced. The method is showcased in the context of small passenger ship grounding cases, demonstrating its capability for causal factor identification.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Alimahdi Mohammaddost, Zargham Mohammadi, Mohsen Rezaei, Hamid Reza Pourghasemi, Asadullah Farahmand
Summary: This study assessed the vulnerability of Kabul aquifers in Afghanistan using the DRASTIC, EBF, and LR models, finding that the EBF model was the most compatible with the existing vulnerability zones.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Philip Ciunkiewicz, Michael Roumeliotis, Kailyn Stenhouse, Philip McGeachy, Sarah Quirk, Petra Grendarova, Svetlana Yanushkevich
Summary: The purpose of this analysis is to predict worsening post-treatment normal tissue toxicity in patients undergoing accelerated partial breast irradiation (APBI) therapy and to identify which diagnostic, anatomical, and dosimetric features contribute to these outcomes. A Bayesian network (BN) was constructed using 32 features and outperformed conventional machine learning techniques in predicting tissue toxicity outcomes. The volume of the clinical target volume, gross target volume, and baseline toxicity measurements were found to have the highest feature importance and mutual dependence with normal tissue toxicity.
Article
Automation & Control Systems
Yi Yang, Siyu Huang, Haoran Chen, Meilin Wen, Linhan Gou, Xiao Chen, Liu Wei
Summary: This paper introduces a belief reliability analysis method based on traffic performance margin to assess the reliability of transportation systems. By incorporating uncertainty theory to model epistemic uncertainty, the proposed method considers both stochastic and epistemic uncertainty. It utilizes an uncertain percolation semi Markov model to describe the essential physical characteristics of traffic accidents, and a simulation method to calculate belief reliability based on the traffic failure propagation process.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Multidisciplinary Sciences
Tuan D. Pham
Summary: Image analysis in histopathology is crucial for disease diagnosis, prognosis, and biomarker discovery, with precise classification being the ultimate goal. The TF-TS LSTM network is applied for classifying histopathological images, utilizing sequential time-frequency and time-space features for deep learning. Results show strong capability in accurate classification across various datasets, indicating the potential of this approach as an AI tool for robust classification of histopathological images.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Studies
Aymen Frija, Mariem Sghaier, Mondher Fetoui, Boubaker Dhehibi, Mongi Sghaier
Summary: This paper analyzes the complex relationships among factors influencing rangeland governance in arid areas using a Bayesian Belief Network (BBN) model. The results show that the type of tenure system, performances of farmers organizations, clarification of boundaries between neighboring rangelands, and diversification of production systems are closely related to the overall improvement of rangeland governance.
Article
Surgery
Vito A. Mannacio, Luigi Mannacio, Mario Monaco, Anita Antignano, Raffaele Giordano, Giovanni B. Pinna, Antonino Musumeci, Gabriele Iannelli
UPDATES IN SURGERY
(2020)
Article
Environmental Sciences
R. Giordano, I. Pluchinotta, A. Pagano, A. Scrieciu, F. Nanu
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Environmental Sciences
Ciro Apollonio, Maria Francesca Bruno, Gabriele Iemmolo, Matteo Gianluca Molfetta, Roberta Pellicani
Article
Environmental Sciences
D. S. Williams, L. Celliers, K. Unverzagt, N. Videira, M. Manez Costa, R. Giordano
Article
Environmental Sciences
Antonio Annis, Fernando Nardi, Andrea Petroselli, Ciro Apollonio, Ettore Arcangeletti, Flavia Tauro, Claudio Belli, Roberto Bianconi, Salvatore Grimaldi
Article
Environmental Sciences
Raffaeleyyy Pelorosso, Ciro Apollonio, Duccio Rocchini, Andrea Petroselli
Summary: This paper compares the impacts of different thematic resolutions on landscape connectivity, identifying priority areas for conservation and sustainable urban expansion. The study highlights the importance of thematic resolution in environmental assessment and land use planning.
Article
Green & Sustainable Science & Technology
Ciro Apollonio, Andrea Petroselli, Flavia Tauro, Manuela Cecconi, Chiara Biscarini, Claudio Zarotti, Salvatore Grimaldi
Summary: The study investigates the impact of perennial herbaceous plants on runoff generation and soil erosion during rainfall events. It found that MC1 plants are effective in reducing soil erosion, with the best results seen at vegetation heights of 30-70 cm, leading to significant reductions in soil loss and runoff coefficient.
Article
Agricultural Engineering
Ciro Apollonio, Andrea Petroselli, Paolo Cornelini, Vito Manzari, Federico Preti, Salvatore Grimaldi
Summary: Estimating bankfull discharge is crucial in river basin management, and can be carried out using hydrological-hydraulic modeling. The study found a promising link between plant species survey and bankfull discharge, potentially useful in delineating riparian areas to be further verified with hydrological-hydraulic approaches.
JOURNAL OF AGRICULTURAL ENGINEERING
(2021)
Article
Water Resources
Elena Cristiano, Antonio Annis, Ciro Apollonio, Dario Pumo, Salvatore Urru, Francesco Viola, Roberto Deidda, Raffaele Pelorosso, Andrea Petroselli, Flavia Tauro, Salvatore Grimaldi, Antonio Francipane, Francesco Alongi, Leonardo Valerio Noto, Olivier Hoes, Friso Klapwijk, Brian Schmitt, Fernando Nardi
Summary: Green roofs are recognized as sustainable solutions for mitigating floods and providing multiple benefits for the urban environment. Multilayer blue-green roofs, in particular, offer additional water storage capacity and aesthetic value to cities.
HYDROLOGY RESEARCH
(2022)
Article
Environmental Sciences
Jean Marie Vianney Nsabiyumva, Ciro Apollonio, Giulio Castelli, Andrea Petroselli, Mohamed Sabir, Federico Preti
Summary: In the Rif area of Morocco, intense rainfall has caused frequent soil erosion in recent decades. To address this issue and improve farmers' lives, the MCA Project was implemented to grow fruit trees. This study aimed to evaluate the hydrological response to erosion control techniques combined with olive tree plantations in three provinces of Morocco. Various variables, including infiltration, rainwater imbibition, runoff coefficient, and soil detachment, were investigated.
Article
Meteorology & Atmospheric Sciences
Davide Luciano De Luca, Ciro Apollonio, Andrea Petroselli
Summary: Rainfall-runoff modelling in small and ungauged basins is a common practice in hydrology, but it poses challenges in climate change and drought-prone areas. This study applied a continuous modelling approach and a synthetic rainfall generation model to assess drought hazards in a small watershed in southern Italy. Results indicate a potential mild to moderate drought in the future 30 years.
Article
Water Resources
Andrea Petroselli, Ciro Apollonio, Davide Luciano De Luca, Pietro Salvaneschi, Massimo Pecci, Tatiana Marras, Bartolomeo Schirone
Summary: This study evaluated the reliability of 12 empirical formulas for USLE rainfall erosivity estimation and used a Stochastic Rainfall Generator to simulate high-resolution rainfall data. Three equations were found to provide better results, and the use of SRG shows promise in addressing the issue of hydrological data scarcity and improving soil erosion prediction accuracy.
Article
Water Resources
Andrea Gioia, Beatrice Lioi, Vincenzo Totaro, Matteo Gianluca Molfetta, Ciro Apollonio, Tiziana Bisantino, Vito Iacobellis
Summary: This study compared the performances of different DDF curves and found that DDF curves with three parameters are more reliable for short duration storms, especially for durations up to 30 minutes.
Article
Public Administration
Irene Pluchinotta, Raffaele Giordano, Dimitrios Zikos, Tobias Krueger, Alexis Tsoukias
JOURNAL OF COMPARATIVE POLICY ANALYSIS
(2020)
Article
Management
Irene Pluchinotta, Akin O. Kazakci, Raffaele Giordano, Alexis Tsoukias
GROUP DECISION AND NEGOTIATION
(2019)
Article
Environmental Sciences
Elizabeth Alvarez-Chavez, Stephane Godbout, Mylene Genereux, Caroline Cote, Alain N. Rousseau, Sebastien Fournel
Summary: This study evaluated the effect of alternative filtering materials and bed aeration on the retention of nutrients and fecal bacteria in woodchip bedded stand-off pads for cows. The results showed that the alternative biofilters were more efficient in removing COD, SS, TN, and NO3-N, while conventional biofilters were more efficient for PO4-P removal. Aeration did not have a significant effect under the tested temperature conditions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Yike Zhang, Zengyi Ma, Zhuoting Fang, Yuandong Qian, Zhiping Huang, Yilong Ye, Jianhua Yan
Summary: This study investigates the application of oxygen enrichment melting technology in the melting of municipal solid waste incineration fly ash. The results demonstrate that oxygen enrichment technology can reduce energy consumption and operating costs, as well as decrease pollution emissions.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Liangang Xiao, Mingkai Leng, Philip Greenwood, Rongqin Zhao, Zhixiang Xie, Zengtao You, Junguo Liu
Summary: This study investigates the effects of grazing exclusion on soil organic carbon (SOC) accumulation and vegetation recovery. It finds that grazing exclusion can increase the potential for SOC accumulation, and higher annual precipitation is positively correlated with SOC accumulation.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Beatrice Cantoni, Jessica Ianes, Beatrice Bertolo, Selena Ziccardi, Francesco Maffini, Manuela Antonelli
Summary: This study evaluates the performance of ozonation and adsorption as in-series processes compared to standalone processes for the removal of Contaminants of Emerging Concern (CECs) in drinking water. The combination of both processes proves to be more effective than adsorption and ozonation alone. Ozonation improves the adsorption performance of poorly-oxidizable CECs but worsens that of well-oxidizable compounds. This research highlights the importance of considering both processes in the removal of CECs in drinking water treatment plants.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Dan Li, Bingjun Liu, Yang Lu, Jianyu Fu
Summary: A new Standardized compound Drought and Saltwater intrusion Index (SDSI) was developed to detect changes in the severity of CDSEs in six estuaries. The study found that saltwater intrusion plays a dominant role in influencing SDSI severity, and CDSEs vary in frequency, duration and severity among different estuaries.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Yong-Qiang Li, Rui Sun, Chong-Miao Zhang, Zi-Xuan Liu, Rui-tao Chen, Jian Zhao, Hua-dong Gu, Huan-Cai Yin
Summary: In this study, an electron beam excitation multi-wavelength ultraviolet (EBE-MW-UV) system was established and found to have significantly higher microbial inactivation effects compared to single-wavelength UV-LEDs in water. Mechanism analysis revealed that EBE-MW-UV damaged microbial DNA and proteins, and generated additional reactive oxygen species, leading to microbial inactivation.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Kaili Ma, Xinxin Han, Qiujuan Li, Yu Kong, Qiaoli Liu, Xu Yan, Yahong Luo, Xiaopin Li, Huiyang Wen, Zhiguo Cao
Summary: This study reveals that the use of a tryptophan-degrading microbial consortium (TDC) can enhance the hydrolysis efficiency of waste activated sludge (WAS), increasing the yield and quality of short chain fatty acids (SCFAs) and improving the solubilization and release of organic substances from WAS.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Ling Xiong, Rui Li
Summary: Incorporating Ecosystem Service Value (ESV) into land use planning can provide informed land management decisions. This study evaluates the ESV of Guizhou Province in China's karst region. The results show an increase in total ESV over the past two decades due to ecological restoration projects.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
M. Geetha Jenifel
Summary: This article discusses the importance of water and the pollution of freshwater resources, and introduces the use of machine learning models and blockchain technology to predict and protect water quality.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Stanslaus Terengia Materu, Taotao Chen, Chang Liu, Daocai Chi, Meng Jun
Summary: The study showed that H2SO4-modified biochar can reduce P leaching, increase soil available P, and enhance plant P uptake in alternate wetting and drying irrigation systems. Biochar additions B20A and IAWDB20A-M were effective in improving yield, reducing P leaching, and increasing APB.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Amir Nouri, Ali Akbar Zinatizadeh, Sirus Zinadini, Mark Van Loosdrecht
Summary: This study focuses on the development of an air-lift bio-electrochemical reactor (ALBER) with a continuous feeding regime to enhance nitrogen removal from synthetic wastewater. The effect of temperature, hydraulic retention time (HRT), N -NH+4 /TN ratio, and current density on the reactor performance was investigated, and the ALBER achieved a maximum TN removal of 73%. The results suggest that the ALBER has potential for treating industrial wastewater at low temperatures.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Peifang Wang, Guoxiang You, Yang Gao, Juan Chen, Xun Wang, Chao Wang
Summary: This study investigated the ecological processes of microbial communities and N- and P-transformation processes in multistage agricultural drainage ditches. The results showed that the microbial communities were co-shaped by agricultural practices and ditch size, which further governed the N and P removal performance.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Xiaofeng Niu, Huan Wang, Tao Wang, Peiyu Zhang, Huan Zhang, Hongxia Wang, Xianghong Kong, Songguang Xie, Jun Xu
Summary: Microorganisms play a critical role in maintaining ecosystem balance, and environmental stressors can affect the assembly processes of microbial communities. The study found that different stressors have opposite effects on microbial community assembly in water and sediment, and warming has different influences compared to herbicides and nutrients.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Yuqing Tan, Qiming Cheng, Fengwei Lyu, Fei Liu, Linhao Liu, Yihong Su, Shaochun Yuan, Wenyu Xiao, Zhen Liu, Yao Chen
Summary: The exacerbation of global warming, extreme weather events, and rapid urbanization have led to increased flooding in urban areas. China has adopted sponge city as an efficient means of preventing and controlling urban floods. Using a SWMM-FVCOM model, the hydrological reduction and control effect of sponge city construction (SPCC) within a university campus were evaluated. The study found that implementing SPCC effectively mitigates surface runoff and reduces the severity of urban flooding. However, the efficacy of runoff control decreases with longer rainfall return periods.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)
Article
Environmental Sciences
Zhonghan Chen, Qiuyan Li, Shibo Yan, Juan Xu, Qiaoyun Lin, Zhuangming Zhao, Ziying He
Summary: Tidal rivers are important biochemical reaction channels, receiving carbon from wastewater and agricultural drains, affecting CO2 emissions. Through modeling and data analysis, researchers explored carbon distribution, emissions, and greenhouse effects, emphasizing the potential of river management to change global CO2 emissions under climate change.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2024)