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Progress in Natural science:Materials International 2019年第3期29卷 356-361页

作者： Haijun Wu Xiaoqing Zuo Shanpeng Wang Jun-Wen Yin Yan-Ning Zhang Jialin Chen School of Materials science and engineering Kunming University of Science and Technology institute of Fundamental and Frontier sciences University of Electronic Science and Technology of China State Key Laboratory of New Technologies for Comprehensive Utilization of Rare and Precious Metals Beijing computational science Research Center

Design efficient electrocatalysts become significant for the hydrogen evolution reaction (HER) in alkaline ***,the HER performance on Pt-Co(OH)2 has been investigated by using DFT *** with pure Pt,the Pt-Co(OH)2 shows excellent hydrogen binding energy (-0.29 eV) and hydrogen adsorption free energy (0.02 eV).More strikingly,the water dissociation process on Pt-Co(OH)2 is an exothermic reaction while that of Pt is an endothermic reaction,demonstrating that the Pt-Co(OH)is an excellent catalyst for HER in alkaline *** the two-step electrodepositions was used to fabricate Pt-Co(OH)2 on the carbon paper (CP).The Pt-Co(OH)/CP shows the lowest overpotential of only 37.6 mV at a current density of 10 mA cmin 0.1M KOH,the smallest Tafel slope of58 mV decand the good stability for 20000s without obvious degradation.

关键词： OH Theoretical and experimental design of Pt-Co HER electrocatalyst for efficient HER performance in alkaline solution

Ganoderma lucidum spore oil enhances the effect of paclitaxel,improves the tolerance to paclitaxel and prolongs the survival in Lewis tumor-bearing mice

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Cancer Advances 2024年第12期7卷 1-6页

作者： Hong-Fei Cai Zhao-Jian Jiang Cheng Yuan Lin Cao Qin Wang Ya-Ming Han Qin Zhang Jing Li Wen-Dong Xu Ju-Yan Liu Guangzhou HanFang Pharmaceutical Company Limited National Engineering Research Center of Pharmaceutical Processing Technology of Traditional Chinese Medicine and Drug InnovationGuangdong Provincial Key Laboratory of Medicinal LipidsGuangzhou 510240China Nanchang Research institute Sun Yat-Sen UniversityNanchang 330096China Guangzhou Pharmaceutical Holdings Limited Guangzhou 510130China

Purpose:This study aims to investigate whether Ganoderma lucidum spore oil(GLSO)could enhance the effect of paclitaxel(PTX),improve the tolerance to PTX and prolong the overall survival of Lewis tumor-bearing mice,which has never been reported ***:The tumor,spleen,and thymus were weighed at the end of the *** blood was collected for hematological index analysis,and the intact femur was removed to determine the bone marrow nucleated cell count(BMN).The percentage of lymphocytes in the spleen of mice was detected by flow cytometry,the activity of NK cells was detected by LDH assay,and the proliferation index of lymphocytes was determined by CCK-8 *** overall and mean survival time and life extension rate were calculated using SPSS ***:Our data showed that GLSO could enhance the anti-tumor effect of PTX and prolong the survival of *** underlying mechanisms of the above effects might be related to the toxic reduction effect of GLSO by relieving hematotoxicity,myelosuppression and ***,GLSO could increase the number of blood cells and bone marrow cells,alleviate the thymic index,and elevate the number and activity of NK cells in mice treated with ***:GLSO may enhance the efficacy of PTX by boosting the activity of immune NK cells and prolong survival by counteracting PTX-induced bone marrow alterations and improving *** findings suggested the promising role of GLSO in combination with PTX to extend the survival and increase the tolerance of patients in clinical chemotherapy of lung cancer.

关键词： Ganoderma lucidum spore oil Traditional Chinese Medicine lung cancer paclitaxel tolerance survival

Prediction of effluent concentration in a wastewater treatment plant using machine learning models

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Journal of Environmental sciences 2015年第6期27卷 90-101页

作者： Hong Guo Kwanho Jeong Jiyeon Lim Jeongwon Jo Young Mo Kim Jong-pyo Park Joon Ha Kim Kyung Hwa Cho School of Environmental science and engineering Gwangju Institute of Science and Technology (GIST) School of Urban and Environmental engineering Ulsan National Institute of Science and Technology HECOREA. INC

Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentration of total nitrogen（T-N） impact on the effluent water quality. The objective of this study is to establish two machine learning models-artificial neural networks（ANNs） and support vector machines（SVMs）, in order to predict 1-day interval T-N concentration of effluent from a wastewater treatment plant in Ulsan, Korea. Daily water quality data and meteorological data were used and the performance of both models was evaluated in terms of the coefficient of determination（R^2）, Nash-Sutcliff efficiency（NSE）, relative efficiency criteria（d rel）. Additionally, Latin-Hypercube one-factor-at-a-time（LH-OAT） and a pattern search algorithm were applied to sensitivity analysis and model parameter optimization, respectively. Results showed that both models could be effectively applied to the 1-day interval prediction of T-N concentration of effluent. SVM model showed a higher prediction accuracy in the training stage and similar result in the validation ***, the sensitivity analysis demonstrated that the ANN model was a superior model for 1-day interval T-N concentration prediction in terms of the cause-and-effect relationship between T-N concentration and modeling input values to integrated food waste and waste water treatment. This study suggested the efficient and robust nonlinear time-series modeling method for an early prediction of the water quality of integrated food waste and waste water treatment process.

关键词： Artificial neural network Support vector machine Effluent concentration Prediction accuracy Sensitivity analysis

Dynamically reconfigurable subwavelength optical device for hydrogen sulfide gas sensing

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Photonics Research 2021年第10期9卷 2060-2067页

作者： ZHENGJI WEN JIALIANG LU WEIWEI YU HAO WU HAO XIE XIAOHANG PAN QIANQIAN XU ZIJI ZHOU CHONG TAN DONGJIE ZHOU CHANG LIU YAN SUN NING DAI JIAMING HAO State Key Laboratory of Infrared Physics Shanghai Institute of Technical PhysicsChinese Academy of SciencesShanghai 200083China Key Laboratory of Artificial Micro-and Nano-structures of Ministry of Education School of Physics and TechnologyWuhan UniversityWuhan 430072China Hangzhou institute for advanced study University of Chinese Academy of SciencesHangzhou 310024China institute of Precision Optical engineering School of Physics Science and EngineeringTongji UniversityShanghai 200092China

The importance of tunable subwavelength optical devices in modern electromagnetic and photonic systems is ***,a lithography-free,wide-angle,and reconfigurable subwavelength optical device with high tunability operating in the near-infrared regions is proposed and experimentally demonstrated,based on a reversible nanochemistry *** reconfigurable subwavelength optical device basically comprises an ultrathin copper oxide(CuO)thin film on an optical thick gold substrate by utilizing the reversible chemical conversion of CuO to sulfides upon exposure to hydrogen sulfide ***-of-concept experimental results show that the maximal modulation depth of reflectance can be as high as 90%at the wavelength of 1.79μm with the initial thickness of CuO taken as 150 *** reflected wave calculations combined with the transfer matrix method are employed to analytically investigate the optical properties of the structure,which show good agreement with experimental *** believe that the proposed versatile approaches can be implemented for dynamic control management,allowing applications in tunable photonics,active displays,optical encryption,and gas sensing.

关键词： reconfigurable optical tunable

Improvement of mechanical property and corrosion resistance of Mg-Zn-Nd alloy by bi-direction drawing

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Journal of Materials science & Technology 2021年第22期81卷 88-96页

作者： Ming Gao Ke Yang Lili Tan Zheng Ma School of Materials science and engineering University of Science and Technology of ChinaShenyang110016China Shi-changxu Innovation Center for advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang110016China

Mg-Zn-Nd alloy is a promising biodegradable metal material for surgical staples during the reconstruction of digestive tract due to its good biocompatibility and suitable mechanical ***,its deformation property and corrosion resistance should be improved to make better safety and effectiveness of *** the present study,bi-direction drawing was adopted to maintain the initial texture characteristics,and improve mechanical property and corrosion resistance of Mg-2Zn-0.5Nd *** results showed that the microstructure after bi-direction did not change too much,but the texture could maintain its initial *** ductility of the alloy with 60%accumulative area reduction after bi-direction drawing was increased by 70%,indicating that an outstanding deformation property of Mg-Zn-Nd alloy can be obtained by bi-direction *** corrosion resistance was also improved after bi-direction drawing compared with that under single direction drawing.

关键词： Bi-direction drawing Texture Mechanical property Corrosion resistance

Topological properties of Sb(111)surface:A first-principles study

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Chinese Physics B 2022年第4期31卷 603-607页

作者：王双喜张平 Department of Materials science and engineering China University of PetroleumBeijing 102249China institute of Applied Physics and computational Mathematics Beijing 100088China Center for Applied Physics and Technology Peking UniversityBeijing 100871China

First-principles calculations based on the density functional theory were performed to systematically study the electronic properties of the thin film of antimony in(111)*** considering the spin-orbit interaction,for stoichiometric surface,the topological states keep robust for six-bilayer case,and can be recovered in the three-bilayer film,which are guaranteed by time-reversal symmetry and inverse *** reduced surface doped by non-magnetic Bi or magnetic Mn atom,localized three-fold symmetric features can be ***,band structures show that the non-trivial topological states stand for non-magnetic substitutional Bi atom,while can be eliminated by adsorbed or substitutional magnetic Mn atom.

关键词： first-principles study antimony topological states

Stock Prediction Based on Technical Indicators Using Deep Learning Model

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Computers, Materials & Continua 2022年第1期70卷 287-304页

作者： Manish Agrawal Piyush Kumar Shukla Rajit Nair Anand Nayyar Mehedi Masud Department of Computer science&engineering University Institute of TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopal-462033Madhya PradeshIndia Faculty of Department of Computer science&engineering University Institute of TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopal-462033Madhya PradeshIndia Faculty of Department of Computer science&engineering School of Engineering and TechnologyJagran Lakecity UniversityBhopal462026Madhya PradeshIndia Graduate School Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Stock market trends forecast is one of the most current topics and a significant research challenge due to its dynamic and unstable *** stock data is usually non-stationary,and attributes are non-correlative to each *** traditional Stock Technical Indicators(STIs)may incorrectly predict the stockmarket *** study the stock market characteristics using STIs and make efficient trading decisions,a robust model is *** paper aims to build up an Evolutionary Deep Learning Model(EDLM)to identify stock trends’prices by using *** proposed model has implemented the Deep Learning(DL)model to establish the concept of *** analysis of the dataset of three most popular banking organizations obtained from the live stock market based on the National Stock exchange(NSE)-India,a Long Short Term Memory(LSTM)is *** datasets encompassed the trading days from the 17^(th) of Nov 2008 to the 15^(th) of Nov *** work also conducted exhaustive experiments to study the correlation of various STIs with stock price *** model built with an EDLM has shown significant improvements over two benchmark ML models and a deep learning *** proposed model aids investors in making profitable investment decisions as it presents trend-based forecasting and has achieved a prediction accuracy of 63.59%,56.25%,and 57.95%on the datasets of HDFC,Yes Bank,and SBI,*** indicate that the proposed EDLA with a combination of STIs can often provide improved results than the other state-of-the-art algorithms.

关键词： Long short term memory evolutionary deep learning model national stock exchange stock technical indicators predictive modelling prediction accuracy

Effect of micro-alloying La on precipitation behavior, mechanical properties and electrical conductivity of Al-Mg-Si alloys

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science China(Technological sciences) 2021年第9期64卷 2012-2022页

作者： ZHENG QiuJu JIANG HongXiang HE Jie ZHANG LiLi ZHAO JiuZhou Shi-changxu Innovation Center for advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials science and engineering University of Science and Technology of ChinaShenyang 110016China

The rapid industrial development calls for alloys that possess higher comprehensive properties. In this study, the effect of microalloying La addition on the precipitation behavior during artificial aging as well as the mechanical properties and electrical conductivity of Al-Mg-Si alloys were investigated by thermal analysis, microstructural characterizations and properties *** results demonstrated that micro-alloying La addition does not change the whole precipitation sequence during the artificial aging of Al-Mg-Si alloys as well as the atomic structure of the precipitates. However, the higher La-vacancy binding energy as well as the strong La-Si and La-Mg interactions can decrease the solubility of Si and Mg in the Al matrix and the β″ precipitation activation energy from 89.9 to 76.7 kJ/mol, leading to the improvement of the strength and electrical conductivity of Al-Mg-Si alloys simultaneously. The microstructural features affecting the strength and electrical conductivity were theoretically discussed in terms of the La addition.

关键词： aluminum alloys micro-alloying La precipitation behavior hardness electrical conductivity

Landslides triggered by the 1970 Ms 7.7 Tonghai earthquake in Yunnan,China: an inventory, distribution characteristics, and tectonic significance

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Journal of Mountain science 2022年第6期19卷 1633-1649页

作者： CUI Yu-long HU Jun-hong XU Chong MIAO Hai-bo ZHENG Jun School of Civil engineering and Architecture Anhui University of Science and TechnologyHuainan 232001China National institute of Natural Hazards Ministry of Emergency Management of ChinaBeijing 100085China Department of Civil engineering Zhejiang UniversityHangzhou 310058China

The 1970 Tonghai earthquake, which occurred on January 5, 1970, in Tonghai County, Yunnan Province, China, triggered a large number of landslides. Since the occurrence of the earthquake, there have been a huge number of research reports on the seismogenic structure and earthquake mechanism, but rare reports on the seismic landslides. As the largest earthquake recorded in the Qujiang fault zone, the study on the coseismic landslides triggered by this earthquake are of great significance to the prevention and mitigation of earthquake-induced landslides in this region. In this study, we established a coseismic landslide inventory for the VⅢ–X seismic intensity areas of the Ms 7.7 Tonghai earthquake, and conducted spatial analysis on the coseismic landslides, mainly having analyzed the effect of the topographic factors, geological factors, and seismic factors on the development of the coseismic landslides. To enhance the understanding of this earthquake, we converted the earthquake epicenter and magnitude with empirical formulas based on the distributions and areas of the coseismic landslides. Comparing with coseismic landslides in other earthquake-hit areas, we found the capability that this earthquake could induce landslides is low. This study provides a useful supplement to the global coseismic landslide inventories and could be the basic data for seismic landslide assessment in this earthquake-prone region.

关键词： 1970 Tonghai Ms 7.7 earthquake Coseismic landslides Landslide inventory Spatial analysis Tectonic significance

Center-environment deep transfer machine learning across crystal structures: from spinel oxides to perovskite oxides

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npj computational Materials 2023年第1期9卷 1227-1236页

作者： Yihang Li Ruijie Zhu Yuanqing Wang Lingyan Feng Yi Liu Materials Genome institute Shanghai UniversityShanghai 200444China Department of Materials science and engineering Northwestern UniversityEvanstonIL 60208USA Shanghai engineering Research Center of Organ Repair Shanghai UniversityShanghai 200444China Zhejiang Laboratory Hangzhou 311100China

In data-driven materials design where the target materials have limited data,the transfer machine learning from large known source materials,becomes a demanding strategy especially across different crystal *** this work,we proposed a deep transfer learning approach to predict thermodynamically stable perovskite oxides based on a large computational dataset of spinel *** deep neural network(DNN)source domain model with“Center-Environment”(CE)features was first developed using the formation energy of 5329 spinel oxide structures and then was fine-tuned by learning a small dataset of 855 perovskite oxide structures,leading to a transfer learning model with good transferability in the target domain of perovskite *** on the transferred model,we further predicted the formation energy of potential 5329 perovskite structures with combination of 73 *** the criteria of formation energy and structure factors including tolerance factor(0.7computationally by other literatures,301 oxides were recorded in the Materials Project database,and 859 oxides have been first *** with the structure-informed features the transfer machine learning approach in this work takes the advantage of existing data to predict new structures at a lower cost,providing an effective acceleration strategy for the expensive high-throughput computational screening in materials *** predicted stable novel perovskite oxides serve as a rich platform for exploring potential renewable energy and electronic materials applications.

关键词： perovskite oxides transfer