Article
Engineering, Multidisciplinary
Lin Chen, Hanyan Huang
Summary: This study proposes a generalized hybrid metamodel using radial basis function (RBF) and sparse polynomial chaos expansion (PCE) for covariance-based global sensitivity analysis (GSA) of multivariate outputs in engineering applications. An efficient sequential sampling method is introduced to improve the efficiency and performance of the RBF-PCE model in multivariate settings. Experimental results demonstrate that the proposed method outperforms existing methods in terms of accuracy and efficiency, with a significant reduction in sample demand compared to MCS-based Sobol' indices.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Environmental Sciences
Sakiba Nabi, Manzoor Ahmad Ahanger, Abdul Qayoom Dar
Summary: Sensitivity analysis is crucial in recognizing parameters for model calibration and optimization, with Morris global SA showing potential to achieve similar results as Sobol SA at a lower computational cost by increasing the number of replications.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Mechanical
Guosheng Li, Jiawei Yang, Wenjie Wang, Zixuan Zhang, Weihua Zhang, Zeping Wu
Summary: An enhanced augmented radial basis function metamodel is proposed for global sensitivity analysis, combining radial basis function and polynomial chaos expansions. An anisotropic technique based on sample point density is proposed to improve generalization performance, with recursive evolution LHD and efficient K-fold cross-validation method adopted to reduce computational efforts. The proposed approach shows promising results for GSA in engineering problems, as demonstrated in five cases.
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
(2022)
Article
Environmental Sciences
Peishi Jiang, Kyongho Son, Maruti K. Mudunuru, Xingyuan Chen
Summary: This study proposes the use of mutual information as a computationally efficient method for sensitivity analysis in watershed modeling. The mutual information can capture nonlinear relationships between inputs and outputs. The study shows that mutual information yields similar sensitivity ranking compared to traditional Sobol method. This provides an affordable GSA method for computationally intensive models.
WATER RESOURCES RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Chengyang Liu, Zhiqiang Wan, Yijie Liu, Xuewu Li, Dianzi Liu
Summary: The TARBF algorithm efficiently solves expensive constrained black-box optimization problems by decomposing them into sub-problems approximated by radial basis functions in trust regions. It adaptsively improves model accuracy and has a sophisticated trust region strategy for effectively balancing exploration and exploitation.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Biomedical
Barbara Wirthl, Sebastian Brandstaeter, Jonas Nitzler, Bernhard A. Schrefler, Wolfgang A. Wall
Summary: Biomechanical models often involve complex systems and include a large number of parameters. Determining these parameters is costly and time-consuming, hence it is crucial to identify the most important parameters for a specific problem. Sensitivity analysis, particularly the Sobol method, is used to distinguish influential parameters from non-influential ones.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Industrial
Bruno Vuillod, Marco Montemurro, Enrico Panettieri, Ludovic Hallo
Summary: The model-based system engineering approach involves assembling subsystems to form a complete system model. Some functional blocks have a significant influence on the overall system behavior. This study compares established methods and algorithms for global sensitivity analysis with the use of Sobol's indices and Shapley's effect on benchmark functions and real-world engineering problems.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Mechanical
Joao Pedro Norenberg, Americo Cunha Jr, Samuel da Silva, Paulo Sergio Varoto
Summary: This study aims to identify the most critical parameters in asymmetric bistable energy harvesters with nonlinear piezoelectric coupling and consider the variability of their physical and excitation properties. The results indicate that the frequency and amplitude of excitation, asymmetric terms, and electrical properties of the piezoelectric coupling are the most critical parameters affecting the harvested power.
NONLINEAR DYNAMICS
(2022)
Article
Thermodynamics
Shengqiang Lin, Ming Xie, Jiaxing Wang, Wenkai Liang, Chung K. Law, Weixing Zhou, Bin Yang
Summary: The uncertainties of rate coefficients in chemical kinetic mechanisms can impact the predicted species concentrations and global properties. A new species-targeted global sensitivity analysis (STGSA) method is proposed to simplify mechanisms by considering input uncertainties, resulting in more compact reduced mechanisms compared to traditional methods. The demonstrations on ethylene and n-heptane oxidation mechanisms show that STGSA accurately identifies redundant species and generates reduced mechanisms with accurate predictions for various conditions.
COMBUSTION AND FLAME
(2021)
Article
Meteorology & Atmospheric Sciences
A. Bernus, C. Ottle, N. Raoult
Summary: By analyzing the global distribution of lake characteristics and conducting a sensitivity analysis of FLake parameters, the study highlights the importance of lake depth, radiative parameters, and thermocline relaxation coefficient in different climate conditions.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Computer Science, Artificial Intelligence
Clement Benesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin
Summary: This study combines Global Sensitivity Analysis and Fairness, defining fairness using a special framework based on Global Sensitivity Analysis and demonstrating common indicators between the two fields. New Global Sensitivity Analysis indices and rates of convergence are also presented as fairness proxies.
Article
Engineering, Mechanical
G. Abbiati, S. Marelli, N. Tsokanas, B. Sudret, B. Stojadinovic
Summary: Hybrid Simulation is a dynamic response simulation paradigm used to investigate the response of structures to earthquake excitation. The current seismic response testing practice relies on prototype structures, which do not reveal the sensitivity of structure's response.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Agronomy
Haixiao Ge, Fei Ma, Zhenwang Li, Changwen Du
Summary: Global sensitivity analysis has shown Tavg, G4, and P2O to be the most influential parameters across cultivars during the growth season, with PORM having a considerable impact on yield regardless of specific-stage variations of climate conditions. The study highlights the comprehensive effects of crop parameters on model outputs under different cultivars and climate variations.
Article
Computer Science, Interdisciplinary Applications
Ivano Azzini, Thierry A. Mara, Rossana Rosati
Summary: This study compares two sampling-based strategies for estimating Sobol' indices and finds that the new strategy outperforms the current one. The global sensitivity analysis of the radiative forcing model of sulfur aerosols confirms the importance of interactions in the model and identifies one irrelevant input variable.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Review
Computer Science, Interdisciplinary Applications
Jiawei Yang, Zeping Wu, Zhixiang Wang, Dequan Zhang, Wenjie Wang, Qian Wen, Weihua Zhang
Summary: This paper proposes an enhanced anisotropic radial basis function (RBF) metamodeling algorithm by incorporating recursive evolution Latin hypercube design and fast K-fold cross-validation method. The proposed approach splits the large-sample design into smaller ones to reduce computation cost and naturally splits the training samples for cross-validation. The anisotropic RBF model is built by considering the sensitivity of the model to each dimension, and the hyperparameters are optimized using an evolutionary algorithm and fast K-fold cross-validation. Results show that the proposed method is competitive with other popular metamodel methods and can effectively handle practical engineering problems.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2023)
Article
Biochemistry & Molecular Biology
Ruixin Zhang, Junwu Liu, Genlong Xue, Jiming Yang, Desheng Li, Tao Tian, Xiaofang Zhang, Kangyi Gao, Zhenwei Pan
Summary: This study successfully reduced the susceptibility to arrhythmia and improved cardiac conduction in conventional heart failure mice by activating dystrophin expression using the CRISPR-dCas9 system. It also restored the membrane distribution of Nav1.5. This provides a new strategy for the treatment of heart failure-related ventricular arrhythmia.
Article
Biochemistry & Molecular Biology
Yangyang Cai, Dezhong Lv, Donghao Li, Jiaqi Yin, Yingying Ma, Ya Luo, Limei Fu, Na Ding, Yongsheng Li, Zhenwei Pan, Xia Li, Juan Xu
Summary: IEAtlas is a valuable resource for investigating the immunogenic capacity of non-canonical epitopes and their potential as therapeutic cancer vaccines.
NUCLEIC ACIDS RESEARCH
(2023)
Article
Medicine, Research & Experimental
Zan-Xiong Chen, Hong-Qian Liu, Zhen-Hua Wu, Jun-Lian He, Hao-Jie Zhong
Summary: This study found that the frequency of circulating ILC3s is elevated in patients with HUA and is positively correlated with serum uric acid and creatinine levels. Although there is no significant difference in plasma IL-17A concentration between HUA patients and healthy controls, positive correlations between plasma IL-17A and serum uric acid levels and circulating ILC3 frequency were observed in HUA patients.
ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE
(2023)
Article
Chemistry, Multidisciplinary
Ying Zhang, Yi-yuan Zhang, Zhen-wei Pan, Qing-qi Li, Li-hua Sun, Xin Li, Man-yu Gong, Xue-wen Yang, Yan-ying Wang, Hao-dong Li, Li-na Xuan, Ying-chun Shao, Meng-meng Li, Ming-yu Zhang, Qi Yu, Zhange Li, Xiao-fang Zhang, Dong-hua Liu, Yan-meng Zhu, Zhong-yue Tan, Yuan-yuan Zhang, Yun-qi Liu, Yong Zhang, Lei Jiao, Bao-feng Yang
Summary: This study found that GDF11 can accelerate the healing of diabetic wounds by promoting neovascularization and regeneration of skin tissues through cellular and molecular mechanisms. Topical application of GDF11 stimulates the mobilization of endothelial progenitor cells and enhances neovascularization through the HIF-1 alpha-VEGF/SDF-1 alpha pathway.
ACTA PHARMACOLOGICA SINICA
(2023)
Article
Optics
Jing Bai, Xuan Liu, Cheng-xian Ge, Zhen-sen Wu, Xiao-xiao Zhang
Summary: We studied the optical trapping force exerted on non-uniform chiral stratified spheres using a high-order Bessel beam. By comparing with existing reference, we validated the present theories. Numerical simulations considering various parameters showed that different chirality distributions significantly affect the trapping characteristics, and a stable three-dimensional capture can be achieved by selecting appropriate incident beam and particle parameters. These theoretical investigations offer an analytical method for understanding the interaction between light and more complex stratified chiral cells, thus providing an encouraging approach for designing better optical manipulation systems.
Article
Oncology
Pengcheng Zuo, Yaopeng Li, Tantan Wang, Xingyu Lin, Zhen Wu, Junting Zhang, Xuebin Liao, Liwei Zhang
Summary: In this study, a novel CDK4/6 inhibitor YF-PRJ8-1011 was designed and synthesized, which exhibited more potent antitumor activity against patient-derived DMG tumor cells compared with palbociclib. The results showed that YF-PRJ8-1011 could inhibit the growth of DMG cells in vitro and in vivo, penetrate the blood-brain barrier, and significantly inhibit the growth of DMG tumors and prolong the overall survival of mice. In addition, YF-PRJ8-1011 combined with radiotherapy also showed more significant inhibition of DMG xenograft tumor growth than radiotherapy alone.
JOURNAL OF NEURO-ONCOLOGY
(2023)
Correction
Multidisciplinary Sciences
Robert. D. D. Bell, Ethan. A. A. Winkler, Itender Singh, Abhay. P. P. Sagare, Rashid Deane, Zhenhua Wu, David. M. M. Holtzman, Christer Betsholtz, Annika Armulik, Jan Sallstrom, Bradford. C. C. Berk, Berislav. V. V. Zlokovic
Article
Optics
Shaojie Chang, Zhenhua Wu, Diwei Liu, Renbin Zhong, Zhaoyun Duan, Yanyu Wei, Yubin Gong, Min Hu
Summary: In this study, we propose a novel approach to enhance the second harmonic of electron beams and increase the output power at higher frequencies. By using a planar grating for fundamental modulation and a transmission grating for harmonic coupling, the proposed structure achieves a high power output of the second harmonic signal. Computational investigations demonstrate that this configuration can generate a 0.202 THz signal with an output power of 4.59 W at an electron beam density of 50 A/cm2 and a voltage of 31.5 kV. The reduced current density in the G-band has significant implications for the advancement of terahertz vacuum devices.
Article
Optics
Jing Bai, Xuan Liu, Cheng-Xian Ge, Zhen-Sen Wu, Xiao-Xiao Zhang
Summary: Interactions between collective multi-layered cells and an off-axis high-order Bessel beam (HOBB) were studied. The generalized Lorenz-Mie theory was used to derive the expansion of HOBB. Multiple scattering of collective multi-layered nanoparticles was obtained based on the additional theorem and considering the tangential continuous boundary conditions. The effectiveness of the present theory and codes was proven by comparing with simulations obtained from CST software. Numerical results regarding the effects of various parameters on the scattering of aggregated multi-layered particles were displayed, which may contribute to understanding the optical scattering characteristics of complex-shaped aggregated multi-layered biological cells and have important applications in manipulating multi-layered biological structures.
Article
Multidisciplinary Sciences
Zhenxing Wu, Jike Wang, Hongyan Du, Dejun Jiang, Yu Kang, Dan Li, Peichen Pan, Yafeng Deng, Dongsheng Cao, Chang-Yu Hsieh, Tingjun Hou
Summary: The authors propose a substructure mask explanation method to address the challenge of explaining the predictions made by neural networks in molecular property prediction. This method provides an interpretation consistent with the understanding of chemists. By applying this method, the authors elucidate how neural networks learn to predict various properties for small molecules and empower chemists to confidently analyze structure-activity relationships.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Meng Li, Hao Chen, Can Guo, Shangshu Qian, Hongpeng Li, Zhenzhen Wu, Chao Xing, Pan Xue, Shanqing Zhang
Summary: To address the issues of lithium-sulfur batteries, a dual interfacial engineering strategy is proposed. For the cathode, iminated polyaniline (iPANI) is used to achieve energetic and morphological engineering. For the anode, the iPANI@rGO-CNTs composite facilitates uniform deposition of lithium-ions, preventing dendrite growth. With the synergic effects of iPANI@rGO-CNTs nanoreactors, the prepared LSBs exhibit excellent rate capability and cycling life, potentially leading to commercialization.
ADVANCED ENERGY MATERIALS
(2023)
Review
Nanoscience & Nanotechnology
Yuhui Tian, Daijie Deng, Li Xu, Meng Li, Hao Chen, Zhenzhen Wu, Shanqing Zhang
Summary: A sustainable and cost-effective production of H2O2 via electrochemical oxygen reduction reaction is highly desired for various applications. Significant progress has been made in catalyst design and innovative cell designs for electrocatalytic production of H2O2. This review summarizes recent advances, including mechanistic explorations, theoretical computations, experimental evaluations, and perspectives on addressing remaining challenges.
NANO-MICRO LETTERS
(2023)
Article
Chemistry, Analytical
Man Wu, Yuhang Huang, Yaru Huang, Hua Wang, Min Li, Yang Zhou, Hui Zhao, Yuwei Lan, Zhenhua Wu, Chunping Jia, Shilun Feng, Jianlong Zhao
Summary: This study developed a microfluidic chip integrated with magnetic control technology for nucleic acid extraction, purification and amplification. The chip can automatically extract nucleic acid from multiple samples within 20 min and can be directly used for amplification. Furthermore, a multi-target detection chip was developed based on the droplet magnetic-controlled microfluidic chip, which successfully detected macrolides resistance mutations and mycoplasma pneumoniae gene in clinical samples, providing the possibility for future detection of multiple pathogens.
ANALYTICA CHIMICA ACTA
(2023)
Article
Biochemistry & Molecular Biology
Zhenhua Wu, Xiaoli Zhu, Anjin Hong, Guanghui He, Zheng Wang, Qingyan Xu, Zhiyu Hu, Xiaobing Wu, Yuezhou Wang, Qiufang Chen, Xilin Zhao, Li Li, Xianming Deng
Summary: Inspired by the structural insights from the analysis of lefamulin's cocrystal structure with S. aureus ribosomes, a series of novel pleuromutilin derivatives were designed and synthesized. The study revealed that derivatives with urea in the meta position of phenylene sulfide showed optimal antibacterial activities. Among them, 21h exhibited the most potent activity against MRSA and clinical AMR Gram-positive bacteria, with low resistance frequency and prolonged Post-Antibiotic Effect. It also showed promising antibacterial activity in vivo, making it a potential lead for new antibiotics against Gram-positive pathogens, especially for AMR bacteria.
BIOORGANIC CHEMISTRY
(2023)
Article
Green & Sustainable Science & Technology
Jessica Jein White, Jack Jon Hinsch, Zhenzhen Wu, Yuhui Tian, William W. Bennett, Yun Wang
Summary: Nanoscale zero-valent iron (nZVI) has high potential for remediating contaminated groundwater. Sulfidation is a promising approach to enhance nZVI's lifetime. Density functional theory (DFT) was used to study the impact of sulfidation on the hydrophobicity of Fe surfaces. The results show that surface hydrophobicity is mainly determined by the coverage of sulfur (S).
ADVANCED ENERGY AND SUSTAINABILITY RESEARCH
(2023)
Article
Engineering, Industrial
Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski
Summary: This article discusses the issues related to the redundancy of k-out-of-n structures and proposes a probabilistic and simulation-based optimization method. The method was applied to real transport systems, demonstrating its effectiveness in reducing costs and improving system availability and performance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Wencheng Huang, Haoran Li, Yanhui Yin, Zhi Zhang, Anhao Xie, Yin Zhang, Guo Cheng
Summary: Inspired by the theory of degree entropy, this study proposes a new node identification approach called Adjacency Information Entropy (AIE) to identify the importance of nodes in urban rail transit networks (URTN). Through numerical and real-world case studies, it is found that AIE can effectively identify important nodes and facilitate connections among non-adjacent nodes.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Liwei Chen
Summary: This paper discusses the four phases of the system life cycle and the different costs associated with each phase. It proposes an improvement importance method to optimize system reliability and analyzes the process of failure risk under limited resources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Xian Zhao, Chen Wang, Siqi Wang
Summary: This paper proposes a new rebalancing strategy for balanced systems by switching standby components. Different switching rules are provided based on different balance conditions. The system reliability is derived using the finite Markov chain imbedding approach, and numerical examples and sensitivity analysis are presented for validation.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Fengyuan Jiang, Sheng Dong
Summary: Corrosion defects are the primary causes of pipeline burst failures. The traditional methodologies ignore the effects of random morphologies on failure behaviors, leading to deviations in remaining strength estimation and reliability analysis. To address this issue, an integrated methodology combining random field, non-linear finite element analysis, and Monte-Carlo Simulation was developed to describe the failure behaviors of pipelines with random defects.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Guoqing Cheng, Jiayi Shen, Fang Wang, Ling Li, Nan Yang
Summary: This paper investigates the optimal joint inspection and mission abort policies for a multi-component system with failure interaction. The proportional hazards model is used to characterize the effect of one component's deterioration on other components' hazard rates. The optimal policy is studied to minimize the expected total cost, and some structural properties of the optimal policy are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Hongyan Dui, Yaohui Lu, Shaomin Wu
Summary: A new resilience model is proposed in this paper for systems under competing risks, and related indices are introduced for evaluating the system's resilience. The model takes into account the degradation process, external shocks, and maintenance interactions of the system, and its effectiveness is demonstrated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yang Li, Jun Xu
Summary: This paper proposes a translation model based on neural network for simulating non-Gaussian stochastic processes. By converting the target non-Gaussian power spectrum to the underlying Gaussian power spectrum, non-Gaussian samples can be generated.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yanyan Liu, Keping Li, Dongyang Yan
Summary: This paper proposes a new random walk method, CBDRWR, to analyze the potential risk of railway accidents. By combining accident causation network, we assign different restart probabilities to each node and improve the transition probabilities. In the case study, the proposed method effectively quantifies the potential risk and identifies key risk sources.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Nan Hai, Daqing Gong, Zixuan Dai
Summary: The current risk management of utility tunnel operation and maintenance is of low quality and efficiency. This study proposes a theoretical model and platform that offer effective decision support and improve the safety of utility tunnel operation and maintenance.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Tomoaki Nishino, Takuya Miyashita, Nobuhito Mori
Summary: A novel modeling methodology is proposed to simulate cascading disasters triggered by tsunamis considering uncertainties. The methodology focuses on tsunami-triggered oil spills and subsequent fires and quantitatively measures the fire hazard. It can help assess and improve risk reduction plans.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Mingjiang Xie, Yifei Wang, Jianli Zhao, Xianjun Pei, Tairui Zhang
Summary: This study investigates the effect of rockfall impact on the health management of pipelines with fatigue cracks and proposes a crack propagation prediction algorithm based on rockfall impact. Dynamic SIF values are obtained through finite element modeling and a method combining multilayer perceptron with Paris' law is used for accurate crack growth prediction. The method is valuable for decision making in pipeline reliability assessment and integrity management.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Saeed Jamalzadeh, Lily Mettenbrink, Kash Barker, Andres D. Gonzalez, Sridhar Radhakrishnan, Jonas Johansson, Elena Bessarabova
Summary: This study proposes an integrated epidemiological-optimization model to quantify the impacts of weaponized disinformation on transportation infrastructure and supply chains. Results show that disinformation targeted at transportation infrastructure can have wide-ranging impacts across different commodities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Jiaxi Wang
Summary: This paper investigates the depot maintenance packet assignment and crew scheduling problem for high-speed trains. A mixed integer linear programming model is proposed, and computational experiments show the effectiveness and efficiency of the improved model compared to the baseline one.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Yuxuan Tian, Xiaoshu Guan, Huabin Sun, Yuequan Bao
Summary: This paper proposes a DFMs searching algorithm based on the graph neural network (GNN) to improve computational efficiency and adaptively identify DFMs. The algorithm terminates prematurely when unable to identify new DFMs.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
