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Reaction network design and hybrid modeling of S Zorb

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Chinese Journal of Chemical Engineering 2024年第9期73卷 301-310页

作者： kai ji Zhencheng Ye Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Qingyuan Innovation Laboratory Quanzhou 362801China

At present,many countries are becoming more and more stringent in terms of sulfur content in fuel oil.S Zorb is a kind of desulfurization technology with advantages of exceptional desulfurization efficiency and small impact on octane *** meet the needs of environmental requirements and the trend of digitalization in the petrochemical industry,a first-principle model of S Zorb was established based on industry *** order to describe the desulfurization and the other side reactions,a reaction network was designed and the kinetic parameters were estimated by the particle swarm optimization *** hybrid models based on the first-principle model and support vector regression method were established to correct the mass fraction of sulfur and predict the research octane number of the refined gasoline *** results indicate that the hybrid models can predict the mass fraction of PIONA,sulfur content and research octane number of the refined gasoline accurately,of which the mean absolute percentage errors are less than 6%.Hybrid models were then applied to optimize the decision variables to minimize the research octane number *** results show that the average reduction of the loss of research octane number is 21.8%,which suggests that the models developed hold promise for guiding practical production.

关键词： Desulfurization Simulation Reaction kinetics Optimization

Alternating Direction Method of Multipliers for l_(1)-l_(2)-Regularized Logistic Regression Model

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Journal of the Operations Research Society of China 2016年第2期4卷 243-253页

作者： Yan-Qin Bai kai-ji Shen Department of Mathematics Shanghai UniversityShanghai 200444China

Logistic regression has been proved as a promising method for machine learning,which focuses on the problem of *** this paper,we present anl_(1)-l_(2)-regularized logistic regression model,where thel1-norm is responsible for yielding a sparse logistic regression classifier and thel_(2)-norm for keeping betlter classification *** solve thel_(1)-l_(2)-regularized logistic regression model,we develop an alternating direction method of multipliers with embedding limitedlBroyden-Fletcher-Goldfarb-Shanno(L-BFGS)***,we implement our model for binary classification problems by using real data examples selected from the University of California,Irvine Machines Learning Repository(UCI Repository).We compare our numerical results with those obtained by the well-known LIBSVM and SVM-Light *** numerical results show that ourl_(1)-l_(2)-regularized logisltic regression model achieves better classification and less CPU Time.

关键词： Classification problems Logistic regression model Sparsity Alternating direction method of multipliers

Natural products in cosmetics

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Natural Products and Bioprospecting 2022年第1期12卷 635-677页

作者： ji-kai Liu Wuhan Institute of Health Shenzhen Moore Vaporization Health&Medical Technology Co.Ltd.Wuhan 430074People’s Republic of China School of Pharmaceutical Sciences South-Central University for NationalitiesWuhan 430074People’s Republic of China

The global cosmetics market reached US$500 billion in 2017 and is expected to exceed US$800 billion by 2023,at around a 7%annual growth *** cosmetics industry is emerging as one of the fastest-growing industries of the past *** shows that the Chinese cosmetics market was US$60 billion in *** is expected to be the world’s number one consumer cosmetics market by 2050,with a size of approximately US$450 *** influence of social media and the internet has raised awareness of the risks associated with the usage of many chemicals in cosmetics and the health benefits of natural products derived from plants and other natural *** a result,the cosmetic industry is now paying more attention to natural *** present review focus on the possible applications of natural products from various biological sources in skin care cosmetics,including topical care products,fragrances,moisturizers,UV protective,and anti-wrinkle *** addition,the mechanisms of targets for evaluation of active ingredients in cosmetics and the possible benefits of these bioactive compounds in rejuvenation and health,and their potential role in cosmetics are also discussed.

关键词： Natural products Cosmetics Skin whitening agents Skin anti-aging agents Moisturizers

Antiaging agents: safe interventions to slow aging and healthy life span extension

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Natural Products and Bioprospecting 2022年第1期12卷 220-255页

作者： ji-kai Liu School of Pharmaceutical Sciences South-Central University for NationalitiesWuhan 430074People’s Republic of China

Human longevity has increased dramatically during the past *** than 20%of the 9 billion population of the world will exceed the age of 60 in *** the last three decades,some interventions and many preclinical studies have been found to show slowing aging and increasing the healthy lifespan of organisms from yeast,flies,rodents to nonhuman *** interventions are classified into two groups:lifestyle modifications and pharmacological/genetic *** genetic pathways have been characterized to have a specific role in controlling aging and ***,all genes in the pathways are potential antiaging ***,many antiaging compounds target the calorie-restriction mimetic,autophagy induction,and putative enhancement of cell regeneration,epige-netic modulation of gene activity such as inhibition of histone deacetylases and DNA methyltransferases,are under *** appears evident that the exploration of new targets for these antiaging agents based on biogeron-tological research provides an incredible opportunity for the healthcare and pharmaceutical *** present review focus on the properties of slow aging and healthy life span extension of natural products from various biologi-cal resources,endogenous substances,drugs,and synthetic compounds,as well as the mechanisms of targets for antiaging *** bioactive compounds that could benefit healthy aging and the potential role of life span extension are discussed.

关键词： Antiaging agents Antiaging targets Healthy lifespan extension Natural products Endogenous substances Longevity

Machine Learning to Search for Accreting Neutron Star Binary Candidates Using Chinese Space Station Telescope Photometric System

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Research in Astronomy and Astrophysics 2022年第12期22卷 322-334页

作者： Shun-Yi Lan kai-Fan ji Xiang-Cun Meng Yunnan Observatories Chinese Academy of SciencesKunming 650216China Key Laboratory for the Structure and Evolution of Celestial Objects Chinese Academy of SciencesKunming 650216China University of Chinese Academy of Sciences Beijing 100049China

Accreting neutron star binary(ANSB)systems can provide some important information about neutron stars(NSs),especially on the structure and the equation of state of ***,only a few ANSBs are known so *** upcoming Chinese Space Station Telescope(CSST)provides an opportunity to search for a large number of ANSB *** aim to investigate whether or not a machine learning method may efficiently search for ANSBs based on CSST photometric *** this paper,we generate some ANSBs and normal binaries under CSST photometric system by binary evolution and binary population synthesis method and use a machine learning method to train a classification *** consider the classical multi-color disk and the irradiated accretion disk,then compare their effects on the classification *** find that no matter whether the X-ray reprocessing effect is included or not,the machine learning classification accuracy is always very high,i.e.,higher than 96%.If a significant magnitude difference exists between the accretion disk and the companion of an ANSB,machine learning may not distinguish it from some normal stars such as massive main sequence stars,white dwarf binaries,*** classifications of the ANSBs and the normal stars highly overlap in a color–color *** results indicate that machine learning would be a powerful way to search for potential ANSB candidates from the CSST survey.

关键词： stars:neutron X-rays:binaries methods:analytical

A New p-Terphenyl Derivative from Basidiomycetes Boletopsis grisea

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Chinese Chemical Letters 2001年第4期12卷 335-336页

作者： Lin HU Ze Jun DON ji kai LIU Kunming Institute of Botany Chinese Academy of SciencesKunming 650204

A new p-terphenyl derivative 1 was isolated from the fruiting bodies of Boletopsis grisea. Its structure was established as 2. 3-diacetoxy-4 ', 4 ', 5, 6-tetrahydroxy-p-terphenyl by spectroscopic and chemical means.

关键词： Boletopsis grisea p-terphenyl derivative Basidiomycetes.

Resolution Enhancement of SOHO/MDI Magnetograms

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Research in Astronomy and Astrophysics 2024年第6期24卷 358-367页

作者： Ying Qin kai-Fan ji Hui Liu Xiao-Guang Yu Yunnan Observatories Chinese Academy of SciencesKunming 650011China University of Chinese Academy of Sciences Beijing 100049China Yunnan Key Laboratory of Solar Physics and Space Science Kunming 650216China Key Laboratory for the Structure and Evolution of Celestial Objects Chinese Academy of SciencesKunming 650216China

Research on the solar magnetic field and its effects on solar dynamo mechanisms and space weather events has benefited from the continual improvements in instrument resolution and measurement *** augmentation and assimilation of historical observational data timelines also play a significant role in understanding the patterns of solar magnetic field *** the realm of astronomical data processing,super-resolution(SR)reconstruction refers to the process of using a substantial corpus of training data to learn the nonlinear mapping between low-resolution(LR)and high-resolution(HR)images,thereby achieving higherresolution astronomical *** paper is an application study in high-dimensional nonlinear *** learning models were employed to perform SR modeling on SOHO/MDI magnetograms and SDO/HMI magnetograms,thus reliably achieving resolution enhancement of full-disk SOHO/MDI magnetograms and enhancing the image resolution to obtain more detailed *** this study,a data set comprising 9717pairs of data from 2010 April to 2011 February was used as the training set,1332 pairs from 2011 March were used as the validation set and 1034 pairs from 2011 April were used as the test *** data preprocessing,we randomly cropped 128×128 sub-images as the LR cases from the full-disk MDI magnetograms,and the corresponding 512×512 sub-images as HR ones from the HMI full-disk magnetograms for model *** tests conducted have shown that the study successfully produced reliable 4×SR reconstruction of full-disk MDI *** MESR model's results(0.911)were highly correlated with the target HMI magnetographs as indicated by the correlation coefficient ***,the method achieved the best PSNR,SSIM,MAE and RMSE values,indicating that the MESR model can effectively reconstruct magnetograms.

关键词： magnetic fields techniques:image processing virtual observatory tools Sun:magnetic fields

A novel method for telescope polarization modeling based on an artificial neural network

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Research in Astronomy and Astrophysics 2021年第7期21卷 41-50页

作者： jian-Guo Peng Shu Yuan kai-Fan ji Zhi Xu Yunnan Observatories Chinese Academy of SciencesKunming 650216China University of Chinese Academy of Sciences Beijing 100049China

The polarization characteristics of an astronomical telescope is an important factor that affects polarimetry accuracy. Polarization modeling is an essential means to achieve high precision and efficient polarization measurement of the telescope, especially for the alt-azimuth mount telescope. At present, the polarization model for the telescope(i.e., the physical parametric model) is mainly constructed using the polarization parameters of each optical element. In this paper, an artificial neural network(ANN) is used to model the polarization characteristics of the telescope. The ANN model between the physical parametric model residual and the pointing direction of the telescope is obtained, which reduces the model deviation caused by the incompleteness of the physical parametric model. Compared with the physical parametric model, the model fitting and predictive accuracy of the New Vacuum Solar Telescope(NVST) is improved after adopting the ANN model. After using the ANN model, the polarization cross-talk from I to Q, U, and V can be reduced from 0.011 to 0.007, and the crosstalk among Q, U, and V can be reduced from 0.047 to 0.020, which effectively improves the polarization measurement accuracy of the telescope.

关键词： techniques:polarimetric telescopes polarization instrumentation:polarimeters

A New Ceramide from the Basidiomycetes Armillaria mellea

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Chinese Chemical Letters 2001年第2期12卷 139-140页

作者： jin Ming GAO Ze Jun DONG ji kai LIU Kunming Institute of Botany Chinese Academy of SciencesKunming 650204 Northwest Sci & Tech.University of Agriculture and Forestry YanglingShaanxi 712100

A new phytosphingosine-type ceramide, armillaramide 1, has been isolated from the fruiting bodies of Basidiomycetes Armillaria mellea (Vahl ex Fr.) Quel. Its structure was established as (2S, 3S. 4R)-2-N-(palmitoyl)-p... 详细信息

关键词： Armillaria mellea basidiomycetes ceramide armillaramide