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Insect Science 2022年第6期29卷 1737-1746页

作者： Xiaoyu Wu Su Wang xianguo zhao Jing Wen Yahong Li Zhangwu zhao Juan Du Department of Entomology MOA Key Lab of Pest Monitoring and Green ManagementCollege of Plant ProtectionChina Agricultural UniversityBeijingChina

It is well established that pheromones are used by insects to transmit infor-mation between ***,research has revealed that individual insects can be both the sender and the receiver of some pheromonal *** is therefore interesting to consider whether the pheromonal state of an individual insect can exert an effect on *** this study,we monitored the sleep activity of single flies exhibiting a mutation that leads to pheromonal deficiency and found that cuticular hydrocarbons(CHs)exerted self-regulatory effects on the amount of sleep experienced by these *** identify the physiological significance of this mechanism,we compared the amounts of sleep in in-dividual young flies and individual old flies(flies are known to sleep less as they get older)and compared this data with young and old flies exhibiting mutations that lead to CH reception *** differences in the amount of sleep experienced by young and old mutant flies were significantly lower than those of the control *** data show that hydrocarbon signals produced by the cuticle in Drosophila can be self-perceived and regulate the amount of sleep acquired in a maturation-dependent manner.

关键词： cuticular hydrocarbons pheromone sleep

Microstructure and Tensile Properties of Spray-deposited IC6 Alloy

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Journal of Materials Science & Technology 1998年第2期14卷 143-146页

作者： Mi, Guofa Li, Zhou Tian, Shifan zhao, xianguo Luo, Zhiping Zeng, Songyan Li, Qingchun Inst Aeronaut Mat Beijing 100095 Peoples R China Harbin Inst Technol Sch Mat Sci & Engn Harbin 150001 Peoples R China

The microstructure and mechanical properties of a Ni//3 Al based Ni-Al-Mo superalloy-IC6 which possesses low impurity content and high density by spray deposition technique have been studied. The results indicate that the IC6 alloy has good tensile strength and elongation both at room and intermediate temperatures. (Edited author abstract) 6 Refs.

关键词： Nickel alloys

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小细胞肺癌治疗研究进展

肿瘤药学 2024年第4期14卷 420-428页

作者：赵先国彭文颖蔡丽娟杨润祥云南省肿瘤医院内二科云南昆明650000

小细胞肺癌(SCLC)是一种预后极差的神经内分泌恶性肿瘤。SCLC的同步放化疗及一线治疗依赖依托泊苷及铂类化疗药物,后线治疗的选择局限。近年来,免疫治疗在SCLC领域崭露头角,免疫联合化疗成为广泛期SCLC一线标准治疗方案。ASTRUM-005、CA... 详细信息

小细胞肺癌(SCLC)是一种预后极差的神经内分泌恶性肿瘤。SCLC的同步放化疗及一线治疗依赖依托泊苷及铂类化疗药物,后线治疗的选择局限。近年来,免疫治疗在SCLC领域崭露头角,免疫联合化疗成为广泛期SCLC一线标准治疗方案。ASTRUM-005、CAPSTONE-1研究证实,斯鲁利单抗和阿得贝利单抗进一步延长了广泛期SCLC患者的生存期。抗血管治疗为SCLC后线治疗带来了新的选择,免疫联合抗血管治疗正在向一线治疗广泛期SCLC推进,并已在局限期SCLC中进行了探索。局限期SCLC治疗进展缓慢,胸部放疗的最佳时机、放疗剂量及分割模式的研究取得了一些进展,但预防性脑照射在局限期SCLC中的作用受到了一些临床证据的质疑。Delta样蛋白3(DLL3)特异性双抗、多腺苷二磷酸核糖聚合酶(PARP)抑制剂等药物不断涌现,有望给SCLC的治疗带来新突破;同时,SCLC分子分型的初步确定对于患者的精准治疗至关重要。目前,局限期SCLC免疫治疗模式的探索、新型免疫药物和不同的联合治疗策略正在SCLC人群中开展多项临床研究。本文综述了小细胞肺癌治疗的研究新进展。

关键词：小细胞肺癌免疫治疗放射治疗抗血管治疗

Fractal Method for Statistical Analysis Geological Data

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Journal of Earth Science 1991年第1期10卷 114-119页

作者： Meng xianguo zhao PengdaChina University of Geosciences , Wuhan 430074

This paper establishes the phase space in the light of spacial series data , discusses the fractal structure of geological data in terms of correlated functions and studies the chaos of these data . In addition , it introduces the R/S analysis for time series analysis into spacial series to calculate the structural fractal dimensions of ranges and standard deviation for spacial series data -and to establish the fractal dimension matrix and the procedures in plotting the fractal dimension anomaly diagram with vector distances of fractal dimension . At last , it has examples of its application .

关键词： geological data fractal method fractal dimension space series R/S analysis .

Monophase-homointerface electrodes intrinsically stabilize high-voltage all-solid-state batteries

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Science China Chemistry 2024年第5期67卷 1729-1739页

作者： Xiaolin Xiong xianguo Ma Tianshi Lv Liquan Chen Liumin Suo Beijing National Laboratory for Condensed Matter Physics Institute of PhysicsChinese Academy of ScienceBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

The electrochemical stability and contact reliability of heterointerfaces between the solid electrolyte(SE) and electrode are critical for all-solid-state batteries(ASSBs), particularly much more challenging for high-voltage ASSBs, owing to the limited thermodynamically electrochemical window and mechanical inflexibility of SE, aggravating interfacial side reactions and contact failure. Considering all those issues originating from intrinsic heterogeneity in physicochemical features between the cathode material and SE, we are thinking about simplifying the heterointerfaces into a homointerface as a permanent cure to solve all electrochemical-mechanical interfacial failure. Herein, we propose monophase cathodes to construct thermodynamically stable all-in-one homointerfaces in ASS electrodes, removing unstable heterointerfaces by excluding SEs and intrinsically eliminating the Li chemical potential gap to avoid the formation of lithium-depleted space-charge layer and highly resistive mixed ion–electron conductor interphase. Our conception is successfully validated in the layered transition-metal oxide cathodes, which display outstanding stability no matter the MH-LiCoO_(2) cathode charging to 4.7 V or MH-Li_(1.2)Mn_(0.54)Ni_(0.13)-Co_(0.13)O_(2) cathode charging to 5.3 V. It is undeniable that our current version of above-illustrated MH-cathodes would bring out some new challenges for the practical application due to abandoning the SE. However, we believe our work also offers a brandnew direction to ultimately address the electrochemical–mechanical interfacial issues that would be promising for high-energy ASSBs with more discoveries of advanced monophase cathodes in the future.

关键词： monophase-homointerface electrode high-voltage all-solid-state batteries electrochemical-mechanical interfacial issue

Surface pollen and modern vegetation in Southern Xinjiang,China

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Science China Earth Sciences 2024年第2期67卷 510-530页

作者： Yun ZHANG Lixin CHEN Yaoyao XI zhaochen KONG xianguo QIAO State Key Laboratory of Black Soils Conservation and Utilization Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun130102China Institute of Botany Chinese Academy of SciencesBeijing100093China Key Laboratory of Cenozoic Geology and Environment Institute of Geology and GeophysicsChinese Academy of SciencesBeijing100029China University of Chinese Academy of Sciences Beijing100049China School of Geosciences and Resources China University of Geosciences(Beijing)Beijing100083China

The study of modern pollen,and vegetation can improve the accuracy of paleoenvironmental reconstruction based on fossil pollen data.A total of 188 pollen surface samples were collected from Southern Xinjiang(34°00’–43°00’N,74°00’–94°00’E)in China,with an elevation range of 888–4530 *** pollen and vegetation were studied in the northern region of the Kunlun Mountains and the southern region of the Tianshan *** results showed that the surface pollen assemblages on the southern slope of the Tianshan Mountains(3530–1124 m)were divided into three pollen zones,namely,montane steppe,montane desert steppe,and montane *** zones were dominated by Artemisia,Chenopodiaceae,and Ephedra *** surface pollen assemblages in the eastern Pamir Plateau(4530–1287 m)could be divided into alpine meadow,montane desert steppe,and montane desert zones,which were predominantly characterized by Artemisia,Chenopodiaceae,and Asteraceae ***,the Southern Tarim Basin(3548–888 m)comprised montane desert steppe and montane desert zones,which was dominated by Artemisia and Chenopodiaceae *** geographic distribution of the surface pollen sites obtained using ArcGIS,the R-value,and Pearson correlation analyses indicated that the over-represented Picea and Pinus pollen were of external origin and were transported by wind,water(rivers),and ice(glacier movement).Over-representation of Ephedra and Nitraria pollen was mainly distributed in the montane desert and desert steppe zones,*** from Chenopodiaceae and Artemisia were over-represented and broadly distributed across Southern *** pollen was concentrated in areas with walnut trees,strongly indicating the presence of local parent *** to the Hybrid Singleparticle Lagrangian Integrated Trajectory model,more Pinus pollen was transported to the Pamir region by external airflows during spring and summer,resulting in its higher surface pollen *** elucidating t

关键词： Surface pollen Vegetation Distribution Picea Southern Xinjiang

Modelling Anti-Corrosion Coating Performance of Metallic Bipolar Plates for PEM Fuel Cells:A Machine Learning Approach

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Energy and AI 2024年第3期17卷 495-512页

作者： Pramoth Varsan Madhavan Samaneh Shahgaldi xianguo Li Mechanical and Mechatronics Engineering University of WaterlooOntarioCanada Hydrogen Research Institute Universitédu QuébecàTrois-RivièresQuebecCanada

Proton exchange membrane(PEM)fuel cells have significant potential for clean power generation,yet challenges remain in enhancing their performance,durability,and cost-effectiveness,particularly concerning metallic bipolar plates,which are pivotal for lightweight compact fuel cell *** coatings are commonly employed to combat metallic bipolar plate corrosion and enhance water management within *** methods for predicting coating performance in terms of corrosion resistance involve complex physical-electrochemical modelling and extensive experimentation,with significant time and *** this study machine learning techniques are employed to model metallic bipolar plate coating performance,diamond-like-carbon coatings of varying thicknesses deposited on SS316L are considered,and coating performance is evaluated using potentiodynamic polarization and electrochemical impedance *** obtained experimental data is split into two datasets for machine learning modelling:one predicting corrosion current density and another predicting impedance *** learning models,including extreme gradient boosting(XGB)and artificial neural networks(ANN),are developed,and optimized to predict coating performance *** preprocessing and hyperparameter tuning are carried out to enhance model *** show that ANN outperforms XGB in predicting corrosion current density,achieving an R2>0.98,and accurately predicting impedance parameters with an R2>0.99,indicating that the models developed are very promising for accurate prediction of the corrosion performance of coated metallic bipolar plates for PEM fuel cells.

关键词： Fuel cell Metallic bipolar plate Coating performance Machine learning Extreme gradient boosting Artificial neural networks

Synergetic Bioproduction of Short-Chain Fatty Acids from Waste Activated Sludge Intensified by the Combined Use of Potassium Ferrate and Biosurfactants

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Journal of Ocean University of China 2024年第3期23卷 695-709页

作者： CHEN Yanyan YAO Shuo ZHANG Dahai LI xianguo FENG Lijuan College of Chemistry and Chemical Engineering Ocean University of ChinaQingdao 266100China

The synergetic effect and underlying mechanism of potassium ferrate(PF)with tea saponin(TS,a biosurfactant)in producing short chain fatty acids(SCFAs)from anaerobic fermentation of waste activated sludge(WAS)were explored in this *** results showed that 0.2 g PF(g TSS)^(-1)(total suspended solid)combined with 0.02 g TS(g TSS)^(-1) could further improve SCFAs’production,and the maximum SCFAs content reached 2008.7 mg COD L^(-1),which is 1.2 and 4.5 times higher than those with PF and TS individually added,respectively,and 5.3 times higher than that of blank WAS on Day *** the model substrates experiments,the degradation rates of bovine serum albumin and dextran with combination of PF and TS were 41.3%±0.1% and 48.5%±0.06%,respectively,on Day 3,which are lower than those in blank WAS(with degradation rates of 72.3%±0.5%and 90.3%±0.3%).It was revealed that the oxidative effect of PF and the solubilization of TS caused more organic matters to be dissolved out from WAS,providing a large number of biodegradable substances for subsequent SCFAs *** WAS pretreated with the combination of PF and TS,the relative abundances of Firmicutes increased from 6.4%(blank)to 38.6%,and that of Proteobacteria decreased from 41.8%(blank)to 21.8%.The combination of PF and TS promoted the hydrolysis process of WAS by enriching Firmicutes,and then increased acetic acid production by inhibiting Proteobacteria that consumed ***,at the genus level,acidogenesis bacteria(e.g.,Proteiniclasticum and Petrimonas)were enriched whereas SCFAs consuming bacteria(e.g.,Dokdonella)were inhibited.

关键词： waste activated sludge anaerobic fermentation potassium ferrate biosurfactant pretreatment

An integrable generalization of the Fokas–Lenells equation:Darboux transformation, reduction and explicit soliton solutions

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Chinese Physics B 2024年第7期33卷 117-124页

作者：魏姣耿献国王鑫 School of Mathematics and Statistics Zhengzhou UniversityZhengzhou 450001China School of Mathematics and Information Science Zhongyuan University of TechnologyZhengzhou 450007China

Under investigation is an integrable generalization of the Fokas–Lenells equation, which can be derived from the negative power flow of a 2 × 2 matrix spectral problem with three potentials. Based on the gauge transformation of the matrix spectral problem, one kind of Darboux transformation with multi-parameters for the three-component coupled Fokas–Lenells system is constructed. As a reduction, the N-fold Darboux transformation for the generalized Fokas–Lenells equation is obtained, from which the N-soliton solution in a compact Vandermonde-like determinant form is given. Particularly,the explicit one-and two-soliton solutions are presented and their dynamical behaviors are shown graphically.

关键词： Darboux transformation soliton solutions generalized Fokas–Lenells equation

Machine learning modeling for fuel cell-battery hybrid power system dynamics in a Toyota Mirai 2 vehicle under various drive cycles

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Energy and AI 2024年第3期17卷 406-418页

作者： Adithya Legala Matthew Kubesh Venkata Rajesh Chundru Graham Conway xianguo Li Southwest Research Institute San AntonioTXUSA Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooOntarioCanada

Electrification is considered essential for the decarbonization of mobility sector, and understanding and modeling the complex behavior of modern fuel cell-battery electric-electric hybrid power systems is challenging, especially for product development and diagnostics requiring quick turnaround and fast computation. In this study, a novel modeling approach is developed, utilizing supervised machine learning algorithms, to replicate the dynamic characteristics of the fuel cell-battery hybrid power system in a 2021 Toyota Mirai 2nd generation (Mirai 2) vehicle under various drive cycles. The entire data for this study is collected by instrumenting the Mirai vehicle with in-house data acquisition devices and tapping into the Mirai controller area network bus during chassis dynamometer tests. A multi-input - multi-output, feed-forward artificial neural network architecture is designed to predict not only the fuel cell attributes, such as average minimum cell voltage, coolant and cathode air outlet temperatures, but also the battery hybrid system attributes, including lithium-ion battery pack voltage and temperature with the help of 15 system operating parameters. Over 21,0000 data points on various drive cycles having combinations of transient and near steady-state driving conditions are collected, out of which around 15,000 points are used for training the network and 6,000 for the evaluation of the model performance. Various data filtration techniques and neural network calibration processes are explored to condition the data and understand the impact on model performance. The calibrated neural network accurately predicts the hybrid power system dynamics with an R-squared value greater than 0.98, demonstrating the potential of machine learning algorithms for system development and diagnostics.

关键词： Artificial neural network(ANN) Proton exchange membrane fuel cell(PEMFC) Fuel cell electric vehicle(FCEV) Fuel cell-battery electric-electric hybrid power system Data based models Lithium-ion battery(LiB)