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arXiv 2025年

作者： Fan, Hang Fei, Ben Gentine, Pierre Xiao, Yi Chen, Kun Liu, Yubao Qu, Yongquan Ling, Fenghua Bai, Lei Shanghai Artificial Intelligence Laboratory Shanghai China Department of Earth and Environmental Engineering Columbia University New York United States Nanjing University of Information Science and Technology Nanjing China The Chinese University of Hong Kong Hong Kong

Data assimilation (DA) provides more accurate, physically consistent analysis fields and is used for estimating initial conditions in numerical weather forecasting. Traditional DA methods derive statistically optimal analyses in model space based on Bayesian theory. However, their effectiveness is limited by the difficulty of accurately estimating the background error covariances matrix B, which represents the intricate interdependencies among atmospheric variables, as well as the standard linearity assumptions required during the assimilation step. To address these limitations, we propose Latent Data Assimilation (LDA) for a multi-variable global atmosphere, performing non-linear Machine-Learning based Bayesian DA on an atmospheric latent representation learned by an autoencoder. The feasibility of LDA is supported by the near-linear relationship between increments in latent space (within the typical magnitude range for DA) and their corresponding impacts in model space, ensuring that the optimal analysis obtained in latent space approximates the optimal analysis in model space. Due to the relationships among the atmospheric variables encoded in the latent space, LDA can physically propagate observation information across unobserved regions and atmospheric variables, even with a fully diagonal B in latent space. We perform idealized experiments with simulated observations and demonstrate the superiority of LDA over traditional DA methods in model space, while the experiments assimilating real observations highlight its potential application for operational reanalysis and weather forecasting systems. Copyright © 2025, The Authors. All rights reserved.

关键词： Weather forecasting

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A Neuro-Fuzzy Risk Prediction Methodology in the Automotive Part Industry

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Operations Research Forum 2024年第4期5卷 93页

作者： Chakhrit, Ammar Guedri, Abdelmoumene Bougofa, Mohammed Guetarni, Islam H. M. Benharkat, Nour El Houda Bouafia, Abderraouf Chennoufi, Mohammed Department of Mechanical Engineering Faculty of Science and Technology Mohamed Cherif Messaadia University Souk Ahras 41000 Algeria Infra-Res Laboratory Department of Mechanical Engineering University of Souk Ahras Souk Ahras Algeria Sonatrach Company Exploration & amp Production Activity Production Division Illizi Algeria Institut de Maintenance Et de Sécurité Industrielle Laboratoire de L’Ingénierie de La Sécurité Industrielle Et du Développement Durable Université Mohamed Ben Ahmed Oran 2 Sécurité Industrielle Et Environnement Oran 31000 Algeria Laboratory of Environmental Sciences and Techniques (LSTE) Industrial and Environmental Risk Management Department National Polytechnic School El Harrach Algeria Laboratory Génie Chimique Et Environnement de Skikda The Université of 20 Août 1955 Skikda Algeria

Failure mode and effects analysis (FMEA) is a systematic and structured method employed across diverse industries to proactively identify and evaluate potential failure modes. In a traditional FMEA, for all failure modes, three criticality parameters, severity, detection, and frequency, are assessed to evaluate criticality. Nevertheless, it frequently has certain flaws. Therefore, in this work, a fuzzy risk proposed model is used to improve the use of the FMEA methodology. The new model uses a fuzzy inference technique in place of the conventional criticality calculation. The fuzzy logic technique is used where the various factors are given as members of a fuzzy set fuzzified by employing adequate membership functions to evaluate the risk and then ranking failure modes and preferring measures to control the risks of undesired events. The adaptive neuro-fuzzy inference system (ANFIS) is suggested as a dynamic, intelligently proposed model to improve and validate the results acquired by the fuzzy inference system and effectively predict the criticality evaluation of failure modes. Finally, an automotive parts industry case is presented to show the potential of the suggested model. This analysis offers a different ranking of failure modes and improves decision-making by providing a “preventive–corrective plan.” A comparison with existing approaches is presented to demonstrate the efficiency of the suggested approach. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Adaptive neuro-fuzzy inference system FMEA Fuzzy logic Risk assessment RPN

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Metagenomic Insights into the Effects of Benzyl Dodecyl Dimethyl Ammonium Bromide (Bdab) Shock on Bacterial-Driven Nitrogen Removal in Moving Bed Biofilm Reactor (Mbbr)

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SSRN 2022年

作者： Wang, Jing Li, Ling Chi, Baihui Shan, Jiajia Yi, Xianliang Liu, Yang Zhou, Hao Key Laboratory of Industrial Ecology and Environmental Engineering Ministry of Education School of Ocean Science and Technology Dalian University of Technology Panjin Campus China

The usage of quaternary ammonium compounds (QACs) has greatly increased as disinfectants since the outbreak of SARs-CoV-2. However, the effect of QACs to the wastewater treatment performance was still unclear. In this study, a commonly used QACs, i.e., benzyl dodecyl dimethyl ammonium bromide (BDAB), was added into moving bed biofilm reactor (MBBR) to investigate its effect on nutrient removal. When the BDAB concentration increased to 50 mg L -1 , the ammonia removal efficiency (ARE) was greatly decreased, also for the ammonia degradation (ADR) and nitrate production (NPR) rates. This inhibition could partly be recovered by decreasing the BDAB concentration to 30 mg L -1 again. Metagenomic sequencing revealed the functional genera in different stages of control (Rc) and BDAB-added reactor (Re). The functional genes analysis suggested the lack of ammonia oxidase-encoding genes ( amo ABC) may cause the decrease of ARE in Re, while the efflux pump-encoding genes emr E, mdf A, and opr M and a gene encoding BAC oxygenase ( oxy BAC) were responsible for BDAB resistance. The increase of the total abundance of antibiotic resistant genes (ARGs) in Re revealed the potential risk caused by BDAB. Overall, this study revealed the potential effect and ecological risk of BDAB released into WWTPs. © 2022, The Authors. All rights reserved.

关键词： Nitrogen removal

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Study on Expansion Performance and Mechanical Strength Characteristics of Expansive Backfill

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SSRN 2024年

作者： Yao, Nan Ruan, Xi Zhang, Guangquan Yu, Zhenjian Meng, Junbo Huang, Tianyu School of Resources and Environmental Engineering Wuhan University of Science and Technology Hubei Wuhan430081 China Hubei key Laboratory for Efficient Utilization and Agglomeration of Metallurgic Mineral Resource Wuhan University of Science and Technology Hubei Wuhan430081 China Anhui Development Mining Co Anhui Luan237462 China

To effectively improve the roof-contacted filling rate, a new expansive backfill was developed, which can rapidly produce volume expansion and then fill the roof-contacted area. The effects of foaming agent content and expansion agent content on the expansion and strength properties of expansive backfill were investigated though expansion development process monitoring test, uniaxial compression test, XRD and SEM tests, the tests results showed that：(1) Volume expansion rate of expansive backfill increased with the increase of foaming agent content and decreased with the increase of expansion agent content. (2) The expansion development cycle of the expansive backfill was 3 days, mainly concentrated in the first two hours, which can be divided into three stages: extremely rapid expansion, slow expansion and residual expansion stage. (3) The internal pores of expansive backfill greatly affected the uniaxial compressive strength of the. The increase of expansion agent content made the foaming amount decrease, leading to smaller internal pores, which made the compressive strength increase. (4) With the increase of expansion agent content, the internal pores became smaller and less distributed, which made the pore water in full contact with the cementitious material and promoted the hydration reaction. More hydration products were generated and filled the pores, which improved the compactness of the hydration products, optimized the load-bearing frame of the backfill, and further improved the strength of the expansive backfill. © 2024, The Authors. All rights reserved.

关键词： Expansion

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Offshore Wind Turbine Monopiles Under Real Wind and Wave Conditions: Considering Cyclic Softening of Clays

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SSRN 2024年

作者： Xu, Ling-Yu Huang, Jin-Tao Liu, Lei Song, Cheng-Xiang Zhou, Zheng-Long Li, Zhao-Yan Cai, Fei Chen, Guo-Xing Institute of Geotechnical Engineering Nanjing Tech University Nanjing210009 China Department of Environmental Engineering Science Gunma University Kiryu376-8515 Japan Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics China Earthquake Administration Key Laboratory of Earthquake Disaster Mitigation Ministry of Emergency Management Harbin150080 China State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology Dalian116024 China

In marine environments, monopiles of offshore wind turbines (OWTs) are often subjected to horizontal cyclic loads caused by wind and wave. Due to cyclic loading, the stiffness and strength of clays degrades, further affecting the serviceability limit state of OWTs. This study developed a 3D finite difference model for the OWT – monopile – seabed system under real wind and wave conditions. A nonlinear cyclic constitutive model developed by the authors was used for the soft clay surrounding the monopile and was demonstrated to be effective in describing the degradation of strength and stiffness of the soft clay under irregular cyclic loading. The aerodynamic wind loading is calculated using the Kaimal spectrum, and the wave loading is computed using the JONSWAP wave spectrum and Morison equation. The results indicate that the peak displacement and the peak rotation angle at the top of tower depend on not only the time of peak loading but also the softening parameters of clays. Decreasing the residual strength ratio and the degradation rate coefficient of clays had much more significant effect on the peak horizontal displacement and rotation angle at the top of tower than on those at the mudline. © 2024, The Authors. All rights reserved.

关键词： Offshore wind turbines

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High-efficiency Fe（Ⅲ）-doped ultrathin VO2 nanobelts boosted peroxydisulfate activation for actual antibiotics photodegradation

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Chinese Chemical Letters 2025年第3期 227-233页

作者： Shukun Le Peng Wang Yuhao Liu Mutao Xu Quansheng Liu Qijie Jin Jie Miao Chengzhang Zhu Haitao Xu Inner Mongolia Key Laboratory of High-Value Functional Utilization of Low Rank Carbon Resources Chemical Engineering CollegeInner Mongolia University of Technology School of Environmental Science and Engineering Nanjing Tech University Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life Science MOEQingdao University of Science and Technology

It has been challenging for Fe（Ⅲ） regeneration in Fe-based photocatalysts for continuous peroxydisulfate（PDS） activation due to the lower ability to reduce Fe（Ⅲ）.In this work,Fe-doped ultrathin VO2（Fe-VO2）nanobelts were synthesized for purifying metronidazole （MNZ） via PDS *** an efficient Fentonlike catalyst for PDS activation,2 wt%Fe-doped VO2can remove 98%of MNZ within 40 min and exhibits impressive *** synergistic effect of Fe-VO2and Fe（Ⅲ） activated PDS boosted the photocatalytic ***,SO4·-,h+,O2·-,1O2,and·OH were the main reactive *** effects of initial MNZ concentration,Fe-VO2,PDS dosage,and various anions/cations on MNZ removal by the Fe-VO2/PDS/Vis system were *** intermediates of MNZ degradation and possible pathways were determined by density function theory （DFT） calculations and *** study provided a sustainable technology using Fe-doped ultrathin VO2nanobelts for photocatalytic PDS activation and decontamination of pharmaceutical wastewater.

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Enhanced removal of phosphate from water by fabricatinga novel dual metal MIL-101(Fe/Zr)

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南水北调与水利科技（中英文） 2022年第3期20卷 487-497,551页

作者： JIAO Zhen MIAO Zhijia LI Qing AN Heluan MENG Xiangyuan SONG Cunyi School of Energy and Environmental Engineering University of Science and Technology BeijingBeijing 100083China School of Water Resources and Environment Hebei GEO UniversityShijiazhuang 050031China Hebei Provincial Laboratory of Water Environment Science Hebei Provincial Academy of Ecological Environmental ScienceShijiazhuang 050031China Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure Hebei GEO UniversityShijiazhuang 050031China Hebei Center for Ecological and Environmental Geology Research Hebei GEO UniversityShijiazhuang 050031China

Metal-based compounds are promising adsorbents for phosphate.A novel dual metal-organic framework as an effective adsorbent for phosphate was synthesized by a solvothermal *** structure analysis revealed that the as-prepared adsorbent(denoted as MIL-101(Fe/Zr))possessed a porous polyhedral structure with a large specific surface area of 479.1 m^(2)/g and a pore width of 3.4 *** X-ray diffraction pattern and Fourier transform infrared spectra suggested that the MIL-101(Fe/Zr)shared a similar structure with MIL-101(Fe),implying successful incorporation of Zr atoms as a second metal into the MIL-101(Fe)*** adsorption of PO_(4)^(3-)by MIL-101(Fe/Zr)conformed to the pseudo-second-order model and intraparticle diffusion model,while adsorption isotherm fitted the Freundlich model well(R^(2)=0.9785).It is suggested that such an adsorption belonged to multiply-layer *** adsorption capacity of MIL-101(Fe/Zr)was to be 66.00 mg/***-101(Fe/Zr)performed well at a wide range of pH 2.0~10.0 and high ionic strength(0~40 mg/L NaCl).A structural analysis indicated that the complexation interaction was mainly responsible for PO_(4)^(3-)*** findings can inspire preparation of other dual metal MOFs adsorbent for phosphate removal and recovery from water.

关键词： MOF_(s) MIL-101(Fe) adsorption phosphate complexation interaction

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Crispr Analysis Based on Pt@Mof Dual-Modal Signal for Multichannel Fluorescence and Visual Detection of Norovirus

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SSRN 2024年

作者： Mao, Zefeng Chen, Ruipeng Lei, Huang Ren, Shuyue Liu, Baolin Gao, Zhixian Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Military Medical Sciences Academy Academy of Military Sciences Tianjin300050 China School of Health Science and Engineering University of Shanghai for Science and Technology Shanghai200093 China Tianjin Institute of Environmental and Operational Medicine China

Norovirus (NoV) is a globally prevalent pathogen causing acute viral gastroenteritis across all age groups, characterized by high infectivity and a low infectious dose. Developing rapid, sensitive, and accurate detection technologies for NoV is challenging. In this study, we successfully developed a CRISPR analysis method mediated by Pt@MOF. The synthesized dual-modal Pt@MOF nanoparticles demonstrated high peroxidase-like activity, excellent stability, and good dispersibility in water. Moreover, the deprotonation of Pt@MOF by alkali induced the release of fluorescent organic moieties, generating a fluorescent signal. Recombinase polymerase amplification (RPA) is a rapid, sensitive, and specific isothermal amplification technique. The design of gRNA based on non-canonical PAM sequences allowed for the flexible targeting of NoV, and a Pt@MOF-mediated RT-RPA/CRISPR fluorescent colorimetric qualitative analysis was established. This strategy was validated in spiked food samples with a 100% accuracy rate, consistent with RT-qPCR results. In summary, this work demonstrates a viable approach for constructing a dual-modal CRISPR biosensing platform based on multifunctional MOF probes for bioanalysis, along with a flexible and versatile strategy for gRNA design based on non-canonical PAM sequences. © 2024, The Authors. All rights reserved.

关键词： Colorimetric analysis

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Dynamic response of a multi-layered saturated ground with a tunnel subjected to braking moving loads

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Transportation Geotechnics 2025年 52卷

作者： Lei, Hao Lyu, Zhi Qian, Jian-Gu State Key Laboratory for Disaster Reduction in Civil Engineering Tongji University Shanghai 200092 China Department of Geotechnical Engineering Tongji University Shanghai 200092 China Department of Civil and Environmental Engineering The Hong Kong University of Science and Technology Hong Kong

An analytical solution to the dynamic responses of a multi-layered saturated ground with a tunnel subjected to instantaneous braking loads is developed using the interconversion between the plane and cylindrical waves and transmission reflection matrix. The effects of braking loads (horizontal-vertical moving loads), speed and frequency of loads, and soil stiffness and permeability on dynamic responses of the tunnel-ground system are investigated. The results indicate that the horizontal displacements of the tunnel lining and the dynamic shear stresses of the saturated ground are significantly underestimated when braking loads are neglected. The dynamic responses of the tunnel lining and the surrounding saturated ground also depend on the magnitude of load speed and frequency. The stiffness and permeability of the saturated ground have a considerable effect on the dynamic responses of the tunnel-ground system. The dynamic stresses and pore pressure increase as the soil stiffness grows while as the permeability of the saturated ground decreases, and this effect of soil stiffness and permeability on the dynamic responses gradually diminishes with growing speed. © 2025 Elsevier Ltd

关键词： Braking moving loads Dynamic responses Saturated ground Tunnel-ground system

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Hollow semimetal PtTe2 nanorods with high performance for photothermal/photodynamic/chemodynamic therapy in the NIR-II window

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SSRN 2025年

作者： Hu, Xin Zhang, Mengyao Huang, Yudai State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources College of Chemistry Xinjiang University Xinjiang Urumqi830017 China College of Health Science and Environmental Engineering Shenzhen Technology University Guangdong Shenzhen518118 China

In comparison to the first near-infrared (NIR-I) window (650-1000 nm), the NIR-II window (1000-1700 nm) has garnered considerable interest in photothermal treatment (PTT) because of its higher tissue penetration depth and lower phototoxicity. However, the therapeutic efficacy of PTT remains suboptimal due to the inherently low photothermal conversion efficiency (PCE) of existing materials. Therefore, the development of nanomaterials with high PCE is a promising strategy for improving anti-tumor therapy. In this work, hollow semimetal PtTe2 nanorods were synthesized. Their unique electronic properties and hollow structure contribute to achieving high PCE under NIR-II irradiation, while simultaneously generating reactive oxygen species (ROS). Additionally, PtTe2 catalyzes the endogenous conversion of hydrogen peroxide (H2O2) into oxygen (O2) and hydroxyl radicals (•OH), further enhancing tumor treatment via chemodynamic therapy(CDT). In vivo experiments confirmed the excellent biocompatibility of PtTe2, and laser treatment significantly inhibited tumor growth, demonstrating its therapeutic efficacy. This work establishes a novel nanoplatform for the treatment of malignant tumors through PTT/PDT/CDT, providing valuable insights for future research in multifunctional cancer therapies. © 2025, The Authors. All rights reserved.

关键词： Nanorods

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