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q-Deformations of 3-Lie Algebras

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Algebra Colloquium 2017年第3期24卷 519-540页

作者： Ruipu Bai Lixin lin yan zhang Chuangchuang Kang College of Mathematics and Information Science Hebei University Baoding Hebei 071002 China

q-Deformations of 3-Lie algebras and representations of q-3-Lie algebras are discussed. A q-3-Lie algebra （A, [, ,]q, [, ,]＇q, Ja）, where q ∈ F and q ≠ 0, is a vector space A over a field F with 3-cry linear multiplications [,, ]q and [,, ]＇q from A 3 to A, and a map Jq ： A 5→ F satisfying the q-Jacobi identity Jq（x1, x2, x3, x4, x5）[x1, x2, [x3, x4, x5]q]＇q = Jq（x4, x5, x1, x2, x3）[x4, x5, [x1, x2, x3]q]＇q for all x1 ∈ A. If the multiplications satisfy that [,,]q = [,,]＇q and [,,]q is skew-symmetry, then （A, [,,]q, Jq） is called a type （I）-q-3- Lie algebra. From q-Lie algebras, group algebras and commutative associative algebras, q-3-Lie algebras and type （I）-q-3-Lie algebras are constructed. Also, the non-trivial one- dimensional central extension of q-3-Lie algebras is investigated, and new q-3-Lie algebras （DerqC[x,x-1], [, ,]q, [, ,]＇q, Jq）, and （Derδq C[x,x-1], [, ,]q, [,,]＇q, Jq） are obtained.

关键词： q-3-Lie algebra q-deformation q-Jacobi identity

Distribution of Vascular Plant Species Richness Along an Elevational Gradient in the Dongling Mountains, Beijing, China

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Journal of Integrative Plant Biology 2006年第2期48卷 153-160页

作者： Hai-Bao Ren Shu-Kui Niu lin-yan zhang Ke-Ping Ma Laboratory of Quantitative Vegetation Ecology Institute of Botany the Chinese Academy of Sciences Beijing 100093 China College of Natural Resources and Environment Beijing Forestry University Beijing 100083 China International Institute of Earth System Science Nanjing University Nanjing 210093 China

Quantifying spatial patterns of species richness and determining the processes that give rise to these patterns are core problems In blodlverslty theory. The aim of the present paper was to more accurately detect patterns of vascular species richness at different scales along altitudinal gradients In order to further our understanding of blodlverslty patterns and to facilitate studies on relationships between blodlverslty and environmental factors. Species richness patterns of total vascular plants species, Including trees, shrubs, and herbs, were measured along an altitudinal gradient on one transect on a shady slope In the Dongllng Mountains, near Beljlng, China. Direct gradient analysis, regression analysis, and geostatlstlcs were applied to describe the spatial patterns of species richness. We found that total vascular species richness did not exhibit a linear pattern of change with altitude, although species groups with different ecological features showed strong elevatlonal patterns different from total species richness. In addition to total vascular plants, analysis of trees, shrubs, and herbs demonstrated remarkable hierarchical structures of species richness with altitude （I.e. patchy structures at small scales and gradients at large scales）. Species richness for trees and shrubs had similar spatial character-Istics at different scales, but differed from herbs. These results Indicated that species groups with similar ecological features exhibit similar blodlverslty patterns with altitude, and studies of blodlverslty based on species groups with similar ecological properties or life forms would advance our understanding of variations In species diversity. Furthermore, the gradients or trends appeared to be due mainly to local variations In species richness means with altitude. We also found that the range of spatial scale dependencies of species rlchnese for total vascular plants, trees, shrubs, and herbs was relatively large. Thus, to detect the relationshi

关键词： geostatistics life form patterns scale species richness.

Hierarchical flower-like NiFe2O4 with core-shell structure for excellent toluene detection

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Rare Metals 2021年第6期40卷 1578-1587页

作者： yan-lin zhang Chao-Wei Jia Ruo-Nan Tian Hong-Tao Guan Gang Chen Cheng-Jun Dong School of Materials and Energy Yunnan UniversityKunming 650091China

The extensive use of toluene stimulates the effective detection by sensitive gas sensors based on unique ***,hierarchical flower-like NiFe_(2)O_(4) with core-shell architecture was synthesized by a facile hydrothermal method in the presence of urea and NH4 *** controllable experiments indicated that the burr spheres and football-like samples were produced with individual urea or NH4 *** flower-like NiFe_(2)O_(4) sensor exhibited outstanding sensitivity of 19.95 to 100×10^(-6) toluene with low detection limit(1×10^(-6)).Furthermore,the sensor showed superior sensing selectivity and longterm stability to *** excellent sensing properties could largely arise from a combination of high surface area,numerous active sites,porous structures,and the native catalytic characteristics of NiFe2 O4 to facilitate toluene molecules adsorption,diffusion,and reaction.

关键词： Hierarchical NiFe2O4 Core-shell Gas sensor Toluene

Primary cutaneous mantle cell lymphoma:Report of a rare case

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World Journal of Clinical Cases 2020年第8期8卷 1507-1514页

作者： Xiao-Dan Zheng yan-lin zhang Jian-Lan Xie Xiao-Ge Zhou Department of Pathology Beijing Friendship HospitalCapital Medical UniversityBeijing 100050China

BACKGROUND We describe the case of a 74-year-old man diagnosed with primary cutaneous mantle cell lymphoma(MCL),an extremely rare and controversial condition that is not included in the World Health Organization-European Organization for Research and Treatment of Cancer classification for cutaneous *** SUMMARY The patient presented diffuse cutaneous erythematous plaques and nodules throughout the *** lesions were biopsied and histopathological examination showed diffuse monomorphic lymphocyte infiltration in the dermal and subcutaneous layers,sparing the *** staining revealed CD20,cyclin-D1,CD5,and SOX-11 *** in situ hybridization showed CCND1/IGH gene *** diagnosis of primary cutaneous MCL requires ensuring that no other parts are involved;these cases require close follow-up to monitor their possible progression to systemic disease and for treating relapsed cutaneous *** this case,positron emission tomography scanning and clinical staging revealed no systemic involvement,and follow-up examination at 20 mo after diagnosis showed no evidence of systemic *** prognosis of primary cutaneous MCL is relatively *** patient received six cycles of chemotherapy,and the cutaneous manifestations presented almost complete *** Primary cutaneous MCL is rare,and its prognosis is relatively ***,correct diagnosis is a prerequisite for proper treatment.

关键词： Primary Cutaneous Mantle cell lymphoma Diagnosis Treatment Prognosis Case report

Intrahepatic cholangiocarcinoma is more complex than we thought:A case report

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World Journal of Clinical Cases 2021年第6期9卷 1469-1474页

作者： Jian-Ting Zeng Jie-Feng zhang Yu Wang Zhou Qing Zhen-Hua Luo yan-lin zhang Yi zhang Xian-zhangLuo Key Laboratory for Biorheological Science and Technology of Ministry of Education Chongqing UniversityChongqing University Cancer HospitalChongqing 400030China Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment Chongqing University Cancer HospitalChongqing 400030China

BACKGROUND Brain metastasis from intrahepatic cholangiocarcinoma is *** the best of our knowledge,only a few cases have been *** biological behavior was complex,and treatment requires further *** SUMMARY A 62-year-old woman complained of left limb *** computed tomography showed a 5.0 cm×5.6 cm lesion in the left lobe of the *** markers were *** analysis indicated absence of hepatitis *** magnetic resonance imaging revealed a 1.0 cm×1.3 cm mass in the right frontal *** cholangiocarcinoma with brain metastasis was diagnosed by our liver cancer multidisciplinary *** sufficient preparation,the patient underwent partial frontal lobotomy and left *** results confirmed that both the lesions were *** cycles of gemcitabine combined with S1 were *** a 39 mo postoperative follow-up,no sign of local recurrence or distant metastasis was *** This case expands our knowledge concerning the complex and heterogeneous nature of tumor metastasis.

关键词： Intrahepatic cholangiocarcinoma Brain metastasis Multidisciplinary team Synchronous brain metastasis Case report

Adhesion strength of tetrahydrofuran hydrates is dictated by substrate stiffness

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Petroleum Science 2024年第1期21卷 667-673页

作者： yan-Wen lin Tong Li Yi zhang Wei-Wei yan Xiao-Ming Chen Zhi-Sen zhang Jian-yang Wu Department of Physics Research Institute for Biomimetics and Soft MatterJiujiang Research Institute and Fujian Provincial Key Laboratory for Soft Functional Materials ResearchXiamen UniversityXiamen361005FujianChina Key Laboratory of Marine Materials and Related Technologies Zhejiang Key Laboratory of Marine Materials and Protective TechnologiesNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo315201ZhejiangChina Key Laboratory of Icing and Anti/De-icing China Aerodynamics Research and Development CenterMianyang621000SichuanChina Micro-and Nano-technology Research Center State Key Laboratory for Manufacturing Systems EngineeringXi’an Jiaotong UniversityXi’an710049ShaanxiChina Electronic Materials Research Lab Key Laboratory of the Ministry of EducationXi’an Jiaotong UniversityXi’an710049ShaanxiChina NTNU Nanomechanical Lab Norwegian University of Science and Technology(NTNU)Trondheim7491Norway

Understanding the hydrate adhesion is important to tackling hydrate accretion in ***,the relationship between the Tetrahydrofuran(THF)hydrate adhesion strength(AS)and surface stiffness on elastic coatings is systemically examined by experimental shear force measurements and theoretical *** mechanical factor-elastic modulus of the coatings greatly dictates the hydrate AS,which is explained by the adhesion mechanics theory,beyond the usual factors such as wettability and structural ***,the hydrate AS increases with reducing the thickness of the elastic coatings,resulted from the decrease of the apparent surface elastic *** effect of critical thickness for the elastic materials with variable elastic modulus on the hydrate AS is also *** study provides deep perspectives on the regulation of the hydrate AS by the elastic modulus of elastic materials,which is of significance to design anti-hydrate surfaces for mitigation of hydrate accretion in petro-pipelines.

关键词： Hydrate Adhesion strength Elastic modulus Coatings

Evaluating the tumor stratification with a lysosomal pH sensitive-probe by fluorescence lifetime imaging

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Chinese Chemical Letters 2024年第3期35卷 262-267页

作者： Jun yan Xing Liang Qian zhang Luolin Wang Weiying lin Guangxi Key Laboratory of Electrochemical Energy Materials Institute of Optical Materials and Chemical BiologySchool of Chemistry and Chemical EngineeringGuangxi UniversityNanning 530004China

Owing to the anaerobic metabolism in the tumor,abundant acidic metabolites are produced and accumulated in the ***,the cells in different tumor layers are directly linked to the pH ***,due to the lack of robust tools,the high-efficient evaluation of the acidic micro-environment of tumor stratification faces the challenge of accurate *** designed a new pH sensitive fluorescent lifetime probe target to *** we expected,the fluorescence lifetime of PLN possesses a good linear fit to the pH value,which could detect the pH change at a single lysosome level in real time,and then evaluate the different acidity of tumor *** probe PLN is successfully used to evaluate the tumor stratification by fluorescence lifetime imaging microscopy(FLIM)for the first time,which is of great significance in the preoperative diagnosis of clinical tumor treatment or evaluation of drug delivery effect.

关键词： FLIM pH Fluorescence imaging Lysosome Tumor imaging

An Improved Modulation Strategy for Single-phase Three-level Neutral-point-clamped Converter in Critical Conduction Mode

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 981-990页

作者： Ning Li Yujie Cao Xiaokang Liu yan zhang Ruotong Wang lin Jiang Xiao-Ping zhang School of Electrical Engineering Xi’an University of TechnologyXi’anChina the Department of Electronics Information and BioengineeringPolitecnico di MilanoMilanItaly Xi’an Jiaotong University Xi’anChina the Department of Electrical Engineering and Electronics University of LiverpoolLiverpoolU.K. the Department of Electronic Electrical and Systems EngineeringUniversity of BirminghamBirminghamU.K.

Two-level totem-pole power factor correction(PFC)converters in critical conduction mode(CRM)suffer from the wide regulation range of switching ***,in highfrequency applications,the number of switching times increases,resulting in significant switching *** solve these issues,this paper proposes an improved modulation strategy for the single-phase three-level neutral-point-clamped(NPC)converter in CRM with *** optimizing the discharging strategy and switching state sequence,the switching frequency and its variation range have been efficiently *** detailed performance analysis is also presented regarding the switching frequency,the average switching times,and the effect of voltage gain.A 2 k W prototype is built to verify the effectiveness of the proposed modulation strategy and analysis *** with the totem-pole PFC converter,the switching frequency regulation range of the three-level PFC converter is reduced by 36.48%and the average switching times is reduced by 45.10%.The experimental result also shows a 1.2%higher efficiency for the three-level PFC converter in the full load range.

关键词： Critical conduction mode(CRM) on-board charger switching frequency range switching times power factor correction(PFC) three-level converter

Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction

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Petroleum Science 2024年第4期21卷 2329-2344页

作者： Jiu-Qiang yang Nian-Tian lin Kai zhang yan Cui Chao Fu Dong zhang College of Earth Sciences and Engineering Shandong University of Science and Technology Laboratory for Marine Mineral Resources Qingdao National Laboratory for Marine Science and Technology Transportation Institute of Inner Mongolia University Key Laboratory of Gas Hydrate Qingdao Institute of Marine Geology Ministry of Natural Resources

Conventional machine learning(CML) methods have been successfully applied for gas reservoir prediction. Their prediction accuracy largely depends on the quality of the sample data; therefore, feature optimization of the input samples is particularly important. Commonly used feature optimization methods increase the interpretability of gas reservoirs; however, their steps are cumbersome, and the selected features cannot sufficiently guide CML models to mine the intrinsic features of sample data efficiently. In contrast to CML methods, deep learning(DL) methods can directly extract the important features of targets from raw data. Therefore, this study proposes a feature optimization and gas-bearing prediction method based on a hybrid fusion model that combines a convolutional neural network(CNN)and an adaptive particle swarm optimization-least squares support vector machine(APSO-LSSVM). This model adopts an end-to-end algorithm structure to directly extract features from sensitive multicomponent seismic attributes, considerably simplifying the feature optimization. A CNN was used for feature optimization to highlight sensitive gas reservoir information. APSO-LSSVM was used to fully learn the relationship between the features extracted by the CNN to obtain the prediction results. The constructed hybrid fusion model improves gas-bearing prediction accuracy through two processes of feature optimization and intelligent prediction, giving full play to the advantages of DL and CML methods. The prediction results obtained are better than those of a single CNN model or APSO-LSSVM model. In the feature optimization process of multicomponent seismic attribute data, CNN has demonstrated better gas reservoir feature extraction capabilities than commonly used attribute optimization methods. In the prediction process, the APSO-LSSVM model can learn the gas reservoir characteristics better than the LSSVM model and has a higher prediction accuracy. The constructed CNN-APSO-LSSVM mode

关键词： Multicomponent seismic data Deep learning Adaptive particle swarm optimization Convolutional neural network Least squares support vector machine Feature optimization Gas-bearing distribution prediction