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Probabilistic back-analysis of rainfall-induced landslides for slope reliability prediction with multi-source information

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第9期16卷 3575-3594页

作者： shui-Hua jiang Hong-Hu Jie Jiawei Xie Jinsong Huang Chuang-Bing Zhou School of Infrastructure Engineering Nanchang UniversityXuefu Road 999Nanchang330031China Discipline of Civil Surveying and Environmental EngineeringFaculty of Engineering and Built EnvironmentThe University of NewcastleCallaghanNSW2308Australia

Probabilistic back-analysis is an important means to infer the statistics of uncertain soil parameters,making the slope reliability assessment closer to the engineering ***,multi-source information(including test data,monitored data,field observation and slope survival records)is rarely used in current probabilistic *** the probabilistic back-analysis of spatially varying soil parameters and slope reliability prediction under rainfalls by integrating multi-source information is a challenging task since thousands of random variables and high-dimensional likelihood function are usually *** this paper,a framework by integrating a modified Bayesian Updating with Subset simulation(mBUS)method with adaptive Conditional Sampling(aCS)algorithm is established for the probabilistic back-analysis of spatially varying soil parameters and slope reliability *** this framework,the high-dimensional probabilistic back-analysis problem can be easily tackled,and the multi-source information(*** pressure heads and slope survival records)can be fully used in the back-analysis.A real Taoyuan landslide case in Taiwan,China is investigated to illustrate the effectiveness and performance of the established *** findings show that the posterior knowledge of soil parameters obtained from the established framework is in good agreement with the field ***,the updated knowledge of soil parameters can be utilized to reliably predict the occurrence probability of a landslide caused by the heavy rainfall event on September 12,2004 or forecast the potential landslides under future rainfalls in the Fuhsing District of Taoyuan City,Taiwan,China.

关键词： Rainfall-induced landslide Spatial variability Probabilistic back-analysis Slope reliability analysis Bayesian updating

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Uncertainties of landslide susceptibility prediction: Influences of random errors in landslide conditioning factors and errors reduction by low pass filter method

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 213-230页

作者： Faming Huang Zuokui Teng Chi Yao shui-Hua jiang Filippo Catani Wei Chen Jinsong Huang School of Infrastructure Engineering Nanchang UniversityNanchang330031China State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu610059China Department of Geosciences University of PadovaPadovaItaly College of Geology and Environment Xi’an University of Science and TechnologyXi’an710054China Discipline of Civil Surveying and Conditioning EngineeringPriority Research Centre for Geotechnical Science and EngineeringUniversity of NewcastleNewcastleNSWAustralia

In the existing landslide susceptibility prediction(LSP)models,the influences of random errors in landslide conditioning factors on LSP are not considered,instead the original conditioning factors are directly taken as the model inputs,which brings uncertainties to LSP *** study aims to reveal the influence rules of the different proportional random errors in conditioning factors on the LSP un-certainties,and further explore a method which can effectively reduce the random errors in conditioning *** original conditioning factors are firstly used to construct original factors-based LSP models,and then different random errors of 5%,10%,15% and 20%are added to these original factors for con-structing relevant errors-based LSP ***,low-pass filter-based LSP models are constructed by eliminating the random errors using low-pass filter ***,the Ruijin County of China with 370 landslides and 16 conditioning factors are used as study *** typical machine learning models,*** perceptron(MLP),support vector machine(SVM)and random forest(RF),are selected as LSP ***,the LSP uncertainties are discussed and results show that:(1)The low-pass filter can effectively reduce the random errors in conditioning factors to decrease the LSP uncertainties.(2)With the proportions of random errors increasing from 5%to 20%,the LSP uncertainty increases continuously.(3)The original factors-based models are feasible for LSP in the absence of more accurate conditioning factors.(4)The influence degrees of two uncertainty issues,machine learning models and different proportions of random errors,on the LSP modeling are large and basically the same.(5)The Shapley values effectively explain the internal mechanism of machine learning model predicting landslide *** conclusion,greater proportion of random errors in conditioning factors results in higher LSP uncertainty,and low-pass filter can effectively reduce these random e

关键词： Landslide susceptibility prediction Conditioning factor errors Low-pass filter method Machine learning models Interpretability analysis

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Investigating the interaction between umami peptides and umami receptor T1R1/T1R3-VFT: a computational approach

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Food Science and Human Wellness 2024年

作者： Hengli Meng Zhiyong Cui Yingqiu Li Yanyang Yu shui jiang Yuan Liu Department of Food Science & Technology， School of Agriculture and Biology， Shanghai Shanghai Jiao Tong University Secondary College of Cereals and Tourism， Guangxi Vocational College of Technology and Business

The study of ligand-receptor interactions is of great significance in food flavor perception. In this study， a computer simulation method was used to investigate the mechanism of interaction between umami peptides and T1R1/T1R3-VFT receptor. The binding site， conformational changes， and binding free energy between umami peptides and T1R1/T1R3-VFT were analyzed through molecular modeling， molecular docking， and molecular dynamics simulations. The receptor model constructed using AlphaFold2 has the best rationality. The molecular docking results showed that umami peptides primarily bound to T1R1-VFT through hydrogen bonding， with key binding residues such as 149THR， 151ARG， and 108ASP. The binding of umami peptides led to a more stable complex system， and the positively charged amino acids contributed positively to the overall binding free energy. This study provides theoretical support for the development of a better understanding of the interaction between umami substances and the umami receptor.

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基于炎症微环境调控组织工程再生性牙髓治疗

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中国组织工程研究 2024年第10期28卷 1620-1625页

作者：饶瑾姜水石海山暨南大学口腔医学院广东省广州市510632

背景:近年来,再生性牙髓治疗概念随着组织工程的发展逐渐形成,炎症微环境在调控牙髓再生方面起着关键作用。目的:文章从炎症牙髓微环境变化出发,着眼于炎症与再生平衡,重点介绍炎症微环境中组织工程再生性牙髓治疗的研究进展,为未来再... 详细信息

背景:近年来,再生性牙髓治疗概念随着组织工程的发展逐渐形成,炎症微环境在调控牙髓再生方面起着关键作用。目的:文章从炎症牙髓微环境变化出发,着眼于炎症与再生平衡,重点介绍炎症微环境中组织工程再生性牙髓治疗的研究进展,为未来再生性牙髓治疗的研究提供参考。方法:在PubMed和中国知网数据库中进行检索,中文检索词为“牙髓再生,炎症,再生性牙髓治疗,组织工程”;英文检索词为“pulp regeneration,inflammation,regenerative endodontic therapy,tissue engineering”,分别检索2013-2023年发表的相关文献,最终纳入61篇文献进行综述分析。结果与结论:①牙髓炎症微环境的变化涉及一系列细胞与分子反应,随炎症进展,微环境对组织修复的作用弊大于利。②炎症通过干细胞募集及激活补体系统等方式促进牙髓再生,也能通过免疫抑制、纤维化破坏再生过程。③组织工程三要素(干细胞、生长因子及支架材料)协同介导炎症反应以恢复炎症-再生平衡,如利用白细胞介素6调节牙髓干细胞功能介导炎症微环境以促进牙髓再生。④当前研究缺乏对感染、炎症问题的关注,牙髓炎症微环境的变化机制尚不清晰,通过有机结合组织工程再生性牙髓治疗的三要素调控炎症微环境,构建再生微环境,精准地调控炎症-再生平衡或是提高临床适用性的突破口之一,但该部分研究仍存在较大空缺,期望未来的研究就如何实现炎症环境下的牙髓再生展开更多的探索,也还需更多动物实验、随机临床试验为组织工程再生性牙髓治疗的临床实践奠定基础。

关键词：组织工程再生性牙髓治疗牙髓再生炎症炎症微环境干细胞生长因子支架

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基于改进贝叶斯更新方法的边坡参数概率反分析及可靠度评估

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岩土力学 2024年第3期45卷 835-845页

作者：胡鸿鹏蒋水华陈东黄劲松周创兵南昌大学工程建设学院江西南昌330031 江西省天然气集团有限公司管道分公司江西南昌330096

某一特定场地的岩土力学参数在地质作用下普遍呈现固有的不确定性,融合现场观测数据进行概率反分析可有效缩减这一不确定性。虽然基于子集模拟的贝叶斯更新(Bayesian Updating with Subset simulation,简称BUS)方法可以将等量场地信息... 详细信息

某一特定场地的岩土力学参数在地质作用下普遍呈现固有的不确定性,融合现场观测数据进行概率反分析可有效缩减这一不确定性。虽然基于子集模拟的贝叶斯更新(Bayesian Updating with Subset simulation,简称BUS)方法可以将等量场地信息的高维概率反分析问题转化为等效的结构可靠度问题,但是当现场观测数据增多时,构建的似然函数值会变得非常小,甚至低于计算机浮点运算精度,会严重影响概率反分析计算效率与精度。为此,提出了一种基于并联系统可靠度分析的改进BUS方法,从基于乔列斯基分解的中点法出发,将接受率低的总失效区域分解为多个接受率高的子失效区域,从而避免因融合大量现场观测数据引起的“维度灾难”问题,实现对边坡岩土力学参数的准确概率反分析。最后,通过一不排水饱和黏土边坡案例验证了提出方法的有效性,结果表明提出的方法能够融合大量钻孔数据和边坡服役状态等观测信息高效进行岩土力学参数概率反分析及边坡可靠度评估,为高维空间变异参数概率反分析和边坡可靠度评估提供了一种有效的工具。

关键词：边坡空间变异性似然函数分解贝叶斯更新概率反分析可靠度评估

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人工泪液对青光眼白内障联合术后干眼症的改善效果研究

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实用防盲技术 2024年第2期19卷 58-61页

作者：张彩玲张水江福建省龙岩人民医院福建龙岩364100

目的研究人工泪液对青光眼白内障联合术后干眼症的改善效果。方法临床资料收集时间2018年2月~2019年12月,共50例,随机分为对照组与观察组,各25例,分别采取常规治疗与人工泪液治疗。观察两组治疗后干眼症状、泪膜破裂时间以及础泪液分泌... 详细信息

目的研究人工泪液对青光眼白内障联合术后干眼症的改善效果。方法临床资料收集时间2018年2月~2019年12月,共50例,随机分为对照组与观察组,各25例,分别采取常规治疗与人工泪液治疗。观察两组治疗后干眼症状、泪膜破裂时间以及础泪液分泌的改善程度。结果观察组治疗2周、4周后干眼症状评分分别为(1.40±0.20)分、(0.80±0.15)分,均低于对照组的(2.65±0.76)分、(1.56±0.56)分,(P1=0.000<0.05);观察组治疗后泪膜破裂时间恢复情况为(9.76±1.88)s,高于对照组的(7.53±1.65)s,(P2=0.000<0.05);观察组治疗后基础泪液分泌情况为(13.65±2.22)mm·(5min)^(-1),高于对照组的(9.24±1.89)mm·(5min)^(-1),(P3=0.000<0.05)。结论青光眼白内障联合术后干眼症采取人工泪液治疗,有利于改善患者眼部健康状态,确保其身心健康,值得深入研究。

关键词：干眼症青光眼白内障手术治疗人工泪液效果

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Extragalactic H_2O Megamaser Sources:Central Black Holes,Nuclear X-ray and Maser Emissions

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Chinese Journal of Astronomy and Astrophysics 2008年第5期8卷 547-554页

作者： jiang-Bo Su jiang-shui Zhang Jun-Hui Fan Center for Astrophysics Guangzhou University Guangzhou 510006 China

Extragalactic H2O megamasers are typically found within the innermost few parsecs of active galaxy nuclei （AGN） and the maser emission is considered to be excited most likely by the X-ray irradiation of the AGN. We investigate a comprehensive sample of extragalactic H2O masers in a sample of 38 maser host AGN to check potential correlations of the megamaser emission with parameters of the AGN, such as X-ray luminosity and black hole （BH） masses. We find a relation between the maser luminosities and BH masses LH2O∝MBH^3.6±0.4 which supports basically the theoretical prediction. The relation between the maser emission and X-ray emission is also confirmed.

关键词： galaxies active -galaxies nuclei -masers

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低蛋白日粮对蛋鸡生产性能、蛋品质和氮排泄影响的研究进展

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饲料研究 2024年第15期47卷 166-169页

作者：王江水张家才齐德生郭吉余广东海大集团股份有限公司畜牧水产研究中心广东广州511400 华中农业大学动物科学技术学院湖北武汉430070 农业农村部微生态资源养殖利用重点实验室广东广州511400

低蛋白日粮技术凭借降低饲料成本及蛋白饲料用量、提高饲料利用效率和减少环境污染三大优势,具有十分广阔的应用前景。低蛋白日粮在蛋鸡生产中的应用已成为研究热点,但研究结果不尽相同。文章就低蛋白日粮对蛋鸡生产性能、蛋品质和氮排... 详细信息

低蛋白日粮技术凭借降低饲料成本及蛋白饲料用量、提高饲料利用效率和减少环境污染三大优势,具有十分广阔的应用前景。低蛋白日粮在蛋鸡生产中的应用已成为研究热点,但研究结果不尽相同。文章就低蛋白日粮对蛋鸡生产性能、蛋品质和氮排泄的影响,以及影响低蛋白日粮应用效果的关键因素进行综述,为低蛋白日粮技术在蛋鸡生产中的推广和应用提供参考。

关键词：低蛋白日粮蛋鸡生产性能蛋品质氮排泄

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Volatile profile and multivariant analysis of Sanhuang chicken breast in combination with Chinese 5-spice blend and garam masala

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Food Science and Human Wellness 2023年第1期12卷 57-68页

作者： Rani Andaleeb Danni Zhang shui jiang Yin Zhang Yuan Liu Department of Food Science&Technology School of Agriculture and BiologyShanghai Jiao Tong UniversityShanghai 200240China Key Laboratory of Meat Processing of Sichuan Chengdu UniversityChengdu 610106China

Sanhuang chicken is a popular native breed in China and well-known for delicious *** could enhance the chicken meat flavour and work well in *** 5-spice blend(CS)and garam masala(GM)are routinely using spices in China and Pakistan,*** flavour profiles of Sanhuang chicken breast(CB)and its blends with CS and GM were obtained by electronic nose(E-nose),solid-phase microextraction gas chromatography-mass spectrometry(SPME GC-MS)and GC-ion mobility spectrometry(GC-IMS).Principal component analysis(PCA)efficiently discriminated the aroma profiles of three chicken *** GC-chromatographs revealed the significant aroma alterations of chicken breast meat after marination with *** were the major contributors of chicken aroma,while most of the aromatic hydrocarbons were generated by *** all chicken key-compounds produced by oxidation reaction were either reduced or eliminated by marination,showing the antioxidation capacity of spices leading to meat ***-IMS is not only a rapid and comprehensive detection method,but also proved to be more sensitive than *** substantial role of both traditional spices in enhancing flavour quality of chicken meat,and their exposure as functional ingredients in Chinese and Pakistan cuisines could lead to the cross-cultural meat trade opportunities.

关键词： Chicken breast Chinese 5-spice blend Garam masala Volatile compounds Qualitative techniques Multivariant analysis

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XMM-Newton observations of H_2O maser galaxy NGC 7479

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Research in Astronomy and Astrophysics 2010年第9期10卷 915-926页

作者： Jin Wang jiang-shui Zhang Jun-Hui Fan Center for Astrophysics Guangzhou University Guangzhou 510006 China

The XMM-Newton observations of H2O megamaser galaxy NGC 7479 are presented. Its smoothed X-ray image clearly shows spiral morphology, which matches well with its optical asymmetric spiral structure. One prominent source can be found at the tip of its northern spiral arm, which is much brighter than its nuclear X-ray source （about a 50% higher count rate）. For the nuclear source （a circular region with a radius of 20 ″）, the spectra show soft excess below 2 keV and a strong iron Kα emission line. The best fitting model includes a partially absorbed model for the hard continuum and one thermal plasma model for the soft scatter component. Both the high column density （NH - 6.88 × 10^23 cm^-2） and strong fluorescent iron line （with an equivalent width of - 1.5 keV） support the existence of one heavily obscured AGN. For the bright prominent source, its radial profile is consistent with that of a single point-like source. Its spectra are extracted from the circular region around its peak, with a radius of 20″ and 6″ respectively and both spectra show models for the ultra-luminous X-ray source no significant difference. Four alternative （ULXs） can reproduce the spectra well： an absorbed power law, thermal bremsstrahlung, multicolor blackbody disk plus another blackbody or power law. Further observations （e.g., the tremendous improvement in the spatial resolution of the Chandra X-ray observations） and studies are desirable for probing the nature of this prominent source. In addition, we also estimate the mass of its central engine to be 1.18 × 10^7 M⊙ and maser disk parameters： the disk radius of -0.7 pc and the dimensionless accretion rate （L2-10kev/LEdd） of 1.2 × 10^-4.

关键词： masers -- galaxies active -- galaxies nuclei --- galaxies individual (NGC 7479) -- X-rays galaxies

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