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Incorporating empirical knowledge into data-driven variable selection for quantitative analysis of coal ash content by laser-induced breakdown spectroscopy

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Plasma Science and Technology 2024年第7期26卷 148-156页

作者：吕一涵宋惟然侯宗余王哲 State Key Laboratory of Power System Operation and Control International Joint Laboratory on Low Carbon Clean Energy InnovationDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084People’s Republic of China School of Energy and Electrical Engineering Qinghai UniversityXining 810016People’s Republic of China Tsinghua University Shanxi Research Institute Clean EnergyTaiyuan 030032People’s Republic of China

Laser-induced breakdown spectroscopy(LIBS)has become a widely used atomic spectroscopic technique for rapid coal ***,the vast amount of spectral information in LIBS contains signal uncertainty,which can affect its quantification *** this work,we propose a hybrid variable selection method to improve the performance of LIBS *** variables are first identified using Pearson's correlation coefficient,mutual information,least absolute shrinkage and selection operator(LASSO)and random forest,and then filtered and combined with empirical variables related to fingerprint elements of coal ash ***,these variables are fed into a partial least squares regression(PLSR).Additionally,in some models,certain variables unrelated to ash content are removed manually to study the impact of variable deselection on model *** proposed hybrid strategy was tested on three LIBS datasets for quantitative analysis of coal ash content and compared with the corresponding data-driven baseline *** is significantly better than the variable selection only method based on empirical knowledge and in most cases outperforms the baseline *** results showed that on all three datasets the hybrid strategy for variable selection combining empirical knowledge and data-driven algorithms achieved the lowest root mean square error of prediction(RMSEP)values of 1.605,3.478 and 1.647,respectively,which were significantly lower than those obtained from multiple linear regression using only 12 empirical variables,which are 1.959,3.718 and 2.181,*** LASSO-PLSR model with empirical support and 20 selected variables exhibited a significantly improved performance after variable deselection,with RMSEP values dropping from 1.635,3.962 and 1.647 to 1.483,3.086 and 1.567,*** results demonstrate that using empirical knowledge as a support for datadriven variable selection can be a viable approach to improve the acc

关键词： laser-induced breakdown spectroscopy(LIBS) coal ash content quantitative analysis variable selection empirical knowledge partial least squares regression(PLSR)

Single-cell analysis of tumor microenvironment and cell adhesion reveals that interleukin-1 beta promotes cancer cell proliferation in breast cancer

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Animal Models and Experimental Medicine 2024年第05期 617-625页

作者： Wenyan Wang Gehong Dong Ziguo Yang Shaoxiang Li Jia Li Lin Wang Qiang Zhu Yuchen Wang Department of General Surgery Beijing Tiantan Hospital Capital Medical University Department of Pathology Beijing Tiantan Hospital Capital Medical University Department of Pharmacology Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College

Background: Triple-negative breast cancer(TNBC), which is so called because of the lack of estrogen receptors(ER), progesterone receptors(PR), and human epidermal growth factor receptor 2(HER2) receptors on the cancer cells, accounts for 10%–15% of all breast cancers. The heterogeneity of the tumor microenvironment is ***, the role of plasma cells controlling the tumor migration progression in TNBC is still not fully ***: We analyzed single-cell RNA sequencing data from five HER2 positive, 12ER positive/PR positive, and nine TNBC samples. The potential targets were validated by ***: Plasma cells were enriched in TNBC samples, which was consistent with validation using data from The Cancer Genome Atlas. Cell communication analysis revealed that plasma cells interact with T cells through the intercellular adhesion molecule 2–integrin–aLb2 complex, and then release interleukin 1 beta(IL1B), as verified by immunohistochemistry, ultimately promoting tumor ***: Our results revealed the role of plasma cells in TNBC and identified IL1B as a new prognostic marker for TNBC.

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Physics-informed deep learning for fringe pattern analysis

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Opto-Electronic Advances 2024年第1期7卷 4-15页

作者： Wei Yin Yuxuan Che Xinsheng Li Mingyu Li Yan Hu Shijie Feng Edmund Y.Lam Qian Chen Chao Zuo Smart Computational Imaging Laboratory(SCILab) School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjing 210094China Smart Computational Imaging Research institute(SCIRI)of Nanjing University of Science and Technology Nanjing 210019China Jiangsu Key Laboratory of Spectral Imaging&Intelligent Sense Nanjing 210094China Department of Electrical and Electronic Engineering The University of Hong KongPokfulamHong Kong SAR 999077China

Recently,deep learning has yielded transformative success across optics and photonics,especially in optical *** neural networks (DNNs) with a fully convolutional architecture (e.g.,U-Net and its derivatives) have been widely implemented in an end-to-end manner to accomplish various optical metrology tasks,such as fringe denoising,phase unwrapping,and fringe ***,the task of training a DNN to accurately identify an image-to-image transform from massive input and output data pairs seems at best naive,as the physical laws governing the image formation or other domain expertise pertaining to the measurement have not yet been fully exploited in current deep learning *** this end,we introduce a physics-informed deep learning method for fringe pattern analysis (PI-FPA) to overcome this limit by integrating a lightweight DNN with a learning-enhanced Fourier transform profilometry (Le FTP) *** parameterizing conventional phase retrieval methods,the Le FTP module embeds the prior knowledge in the network structure and the loss function to directly provide reliable phase results for new types of samples,while circumventing the requirement of collecting a large amount of high-quality data in supervised learning *** by the initial phase from Le FTP,the phase recovery ability of the lightweight DNN is enhanced to further improve the phase accuracy at a low computational cost compared with existing end-to-end *** results demonstrate that PI-FPA enables more accurate and computationally efficient single-shot phase retrieval,exhibiting its excellent generalization to various unseen objects during *** proposed PI-FPA presents that challenging issues in optical metrology can be potentially overcome through the synergy of physics-priors-based traditional tools and data-driven learning approaches,opening new avenues to achieve fast and accurate single-shot 3D imaging.

关键词： optical metrology deep learning physics-informed neural networks fringe analysis phase retrieval

A semi-analytical model for coupled flow in stress-sensitive multi-scale shale reservoirs with fractal characteristics

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Petroleum Science 2024年第1期21卷 327-342页

作者： Qian Zhang Wen-Dong Wang Yu-Liang Su Wei Chen Zheng-Dong Lei Lei Li Yong-Mao Hao Key Laboratory of Unconventional Oil&Gas Development(China University of Petroleum(East China)) Ministry of EducationQingdao266580ShandongChina School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580ShandongChina Shale Oil Development Branch Changqing Oilfield CompanyPetroChinaQingyang745708GansuChina PetroChina Research institute of Petroleum Exploration&Development Beijing100083China

A large number of nanopores and complex fracture structures in shale reservoirs results in multi-scale flow of oil. With the development of shale oil reservoirs, the permeability of multi-scale media undergoes changes due to stress sensitivity, which plays a crucial role in controlling pressure propagation and oil flow. This paper proposes a multi-scale coupled flow mathematical model of matrix nanopores, induced fractures, and hydraulic fractures. In this model, the micro-scale effects of shale oil flow in fractal nanopores, fractal induced fracture network, and stress sensitivity of multi-scale media are considered. We solved the model iteratively using Pedrosa transform, semi-analytic Segmented Bessel function, Laplace transform. The results of this model exhibit good agreement with the numerical solution and field production data, confirming the high accuracy of the model. As well, the influence of stress sensitivity on permeability, pressure and production is analyzed. It is shown that the permeability and production decrease significantly when induced fractures are weakly supported. Closed induced fractures can inhibit interporosity flow in the stimulated reservoir volume (SRV). It has been shown in sensitivity analysis that hydraulic fractures are beneficial to early production, and induced fractures in SRV are beneficial to middle production. The model can characterize multi-scale flow characteristics of shale oil, providing theoretical guidance for rapid productivity evaluation.

关键词： Multi-scale coupled flow Stress sensitivity Shale oil Micro-scale effect Fractal theory

Unsteady aerodynamics modeling for flight dynamics application

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Acta Mechanica Sinica 2012年第1期28卷 14-23页

作者： Qing Wang Kai-Feng He. Wei-Qi Qian Tian-Jiao Zhang Yan-Qing Cheng Kai-Yuan Wu State Key Laboratory of Aerodynamics 621000 MianyangChina Computational Aerodynamics institute China Aerodynamics Research and Development Center621000 MianyangChina Scientific Research Base of Flight Technology and safety Civil Aviation Flight University of China618307 GuanghanChina

In view of engineering application, it is practicable to decompose the aerodynamics into three components： the static aerodynamics, the aerodynamic increment due to steady rotations, and the aerodynamic increment due to unsteady separated and vortical flow. The first and the second components can be presented in conventional forms, while the third is described using a one-order differential equation and a radial-basis-function （RBF） network. For an aircraft configuration, the mathematical models of 6- component aerodynamic coefficients are set up from the wind tunnel test data of pitch, yaw, roll, and coupled yawroll large-amplitude oscillations. The flight dynamics of an aircraft is studied by the bifurcation analysis technique in the case of quasi-steady aerodynamics and unsteady aerodynam- ics, respectively. The results show that：（1） unsteady aerodynamics has no effect upon the existence of trim points, but affects their stability; （2） unsteady aerodynamics has great effects upon the existence, stability, and amplitudes of periodic solutions; and （3） unsteady aerodynamics changes the stable regions of trim points obviously. Furthermore, the dynamic responses of the aircraft to elevator deflections are inspected. It is shown that the unsteady aerodynamics is beneficial to dynamic stability for the present aircraft. Finally, the effects of unsteady aerodynamics on the post-stall maneuverability

关键词： Unsteady aerodynamics High angle of attack Mathematical model Flight dynamics - Bifurcation analysis Post-stall maneuver

UM15 reinforces a lymphocyte-mimicking nanotrap for precise HIV-1 inhibition

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Nano Research 2023年第7期16卷 9906-9920页

作者： Jinbang Zhang Zhengyang Li Jiaxin Li Hui Li Junwei Che Te Zhao Pengfei Zou Jingwan Han Yang Yang Meiyan Yang Yuli Wang Wei Gong Haihua Xiao Zhiping Li Lin Li Chunsheng Gao State key Laboratory of Toxicology and Medical Countermeasure Beijing Institute of Pharmacology and ToxicologyBeijing 100039China Pharmaceutical College Henan UniversityKaifeng 475001China State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and EpidemiologyBeijing 100071China School of public Health and Health Management Gannan Medical UniversityGanzhou 341000China institute of Chemistry Chinese Academy of SciencesBeijing 100190China

Even the potential of T cell-mimicking nanotrap for long term viral control due to its overcoming of human immunodeficiency virus(HIV)genetic diversity and viral resistance,the robust HIV inhibition was not expected because these nanotraps displayed no obvious advantages compared with the infinite host ***,a glycoprotein 120(gp120)-targeting polypeptide UM15 reinforced lymphocyte-mimicking nanotrap was constructed,and its improved HIV-1 inhibiting efficacy was *** to the results,the constructed nanotraps exhibited evident escaping ability from uptake of the mononuclear phagocyte system and highly improved binding ability with gp120 *** constructed nanotraps neutralized all tested HIV-1 pseudo typed viruses with IC80 of 21.0μg/mL,and inhibited both X4-tropic and R5-tropic HIV-1 with IC80 of 34.4 and 20.6μg/mL,*** 40%of gp120 was observed to be shed from pseudo virus,and above 40%bystander T cells were prevented from gp120-induced death by the constructed *** safety of the constructed nanotraps was confirmed both in vitro and in ***,the constructed nanotraps could specifically neutralize free HIV-1,selectively bind with gp120 expressing HIV-1 infected cells,cause gp120 shedding,inhibit gp120-induced bystander T cell killing on the premise of safety,and were considered as promising therapeutic agents for precise inhibition of HIV.

关键词： nanotrap lymphocyte membrane UM15 human immunodeficiency virus-1(HIV-1) glycoprotein 120(gp120)

Visible light-driven oxidation of non-native substrate by laccase attached on Ru-based metal-organic frameworks

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Journal of Environmental Sciences 2024年第3期137卷 741-753页

作者： Wenguang Huang Wentao Zhang Guantongyi Chen Yun Chen Jun Ma Dawei Huang Qinzheng Zhaoc Bingdang Wu State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment South China Institute of Environmental SciencesMinistry of Ecology and Environment of PRCGuangzhou 510655China Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China School of Environmental Science and Engineering Suzhou University of Science and TechnologySuzhou 215002China Key Laboratory of Suzhou Sponge City Technology Suzhou 215002China

Light-induced electron transfer can broaden the substrate range of ***,the efficiency of photo-enzyme coupling is limited by the poor combination of photosensitizer or photocatalyst with ***,we prepared the nano-photocatalyst MIL-125-NH_(2)@Ru(bpy)by in site embedding ruthenium pyridine-diimine complex[Ru(bpy)_(3)^(2+)into metal organic frameworks MIL-125-NH_(2)and associated it with multicopper oxidase(MCO)*** to[Ru(bpy)_(3)]^(2+),the coupling efficiency of MIL-125-NH_(2)@Ru(bpy)_(3)for enzymatic oxygen reduction increased by 35.7%.A series of characterizations confirmed that the amino group of laccase formed chemical bonds with the surface defects or hydrophobic groups of MIL-125-NH_(2)@Ru(bpy)_(3).Consequently,the tight binding accelerated the quenching process and electron transfer between laccase and the immobilized ruthenium pyridine-diimine *** work would open an avenue for the synthesis of MOFs photocatalyst towards photo-enzyme coupling.

关键词： Laccase Light-driven biocatalysis Ruthenium photocatalyst Metal-organic frameworks Enzyme immobilization

Prevalence of Salmonella and Antimicrobial Resistance in Isolates from Food Animals—Six PLADs,China,2019

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China CDC weekly 2021年第24期3卷 514-517页

作者： Tingting Cao Peng Liu Yiming Li Mingquan Cui Chunping Zhang Yang Wang Zhangqi Shen Jianzhong Shen Yuebin Ke Shaolin Wang Yongning Wu College of Veterinary Medicine China Agricultural UniversityBeijingChina China institute of Veterinary Drug Control BeijingChina Key Laboratory of Molecular Epidemiology of Shenzhen Shenzhen Center for Disease Control and PreventionShenzhenGuangdongChina National Health Commission Key Laboratory of Food safety Risk Assessment Food Safety Research Unit(2019RU014)of Chinese Academy of Medical ScienceChina National Center for Food Safety Risk AssessmentBeijingChina.

Summary What is already known about this topic?Salmonella causes acute and chronic diseases in food animals,and infected food animals are one of the most important source of human *** does this report contribute?The prevalence of Salmonella was 10.5%in chicken samples,24.4%in pig,23.3%in duck,and 29.4%in *** isolates were highly resistant to ampicillin(59.60%).What are the implications for public health practices?data on Salmonella infections among food animals in China could help identify sources and factors related to the spread of Salmonella in food animals and food production chains.

关键词： chains food spread

Antibody Pattern: Correlation of Age and Gender in ANA and Anti-ds-DNA Prevalence

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Journal of Clinical and Nursing Research 2024年第6期8卷 373-381页

作者： Usama Ahmed Hijazi Mallick Amber Khan Muhammad Zubair Department of Medicine School of Biomedical EngineeringShenzhen University Medical SchoolShenzhen 518060China Dow International Medical College Karachi Pakistan Department of Biosciences Shaheed Zulfikar Ali Bhutto Institute of Science and Technology(SZABIST)KarachiPakistan institute of Biological Sciences Khwaja Fareed University of Engineering and Information TechnologyRahim Yar KhanPakistan

The study was designed to find the prevalence of ANA antibodies and anti-dsDNA antibodies in samples tested at AFIP Rawalpindi and their correlation with age and gender and to find positive and negative predictive values of ANA *** this purpose,twelve thousand nine hundred sixty-seven(12,967)patients were analyzed for ANA with four hundred sixty-eight(468)healthy samples tested as control and four thousand seven hundred three(4,703)patients tested for ds-DNA *** data of all samples tested by indirect immunofluorescence(IF)for ANA antibodies and dsDNA antibodies was *** address positive and negative predictive values another control group(autoimmunity not suspected)of serum samples was taken from the healthy *** the first group,age,gender,ANA antibodies and ds-DNA antibodies results(both tests performed by IIF)data was collected from a computer record cell;for the second control group,ANA antibodies were performed by IIF.12,967 and 4,703 samples(Group 1)were tested for ANA antibodies and dsDNA antibodies,respectively,during this period.1,119(9%)and 99(2%)were found positive for ANA antibodies and ds DNA *** these positive samples,850(76%)and 73(74%)were females *** predisposition towards autoimmunity(ANA)was found significant with a P value of(P=0.001).Relation of age was also found significant with anti-ANA antibodies with a P value of(P=0.001).This study shows a negative correlation between age(P=0.025)and gender(P=0.001)with anti-dsDNA which is also *** prevalence was found below the mean age of 38 years(SD±16.635)for ANA antibodies and the mean age of 35 years(SD±15.066)for ds-DNA *** age of ANA antibodies and dsDNA antibodies positive patients ranged from 1 year old to 98 years old and 2 years old to 95 years old *** the second(autoimmunity-free)control group,a total of 468 samples were tested for ANA antibodies and 9(2%)were found ***

关键词： ANA Anti ds-DNA Autoimmunity SLE Immune fluorescence