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Prognostic and risk stratification value of lesion MACC1 expression in colorectal cancer patients

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Prognostic and risk stratification value of lesion MACC1 exp...

Method for Estimating the State of Health of Lithium-ion Batteries Based on Differential Thermal Voltammetry and Sparrow Search Algorithm-Elman Neural Network

浙江省免疫学会第六次会员代表大会暨第十一次学术大会

作者： A.Lin X.zhang R.L.zhang J.g.zhang W.H.Yan Biological Resource Center Taizhou Hospital of Zhejiang Province Department of gastrointestinal Surgery Taizhou Hospital of Zhejiang Province Medical Research Center Taizhou Hospital of Zhejiang Province

The up-regulated metastasis-associated in colon cancer 1(MACC1)expression and its clinical significance has been explored in a varity of *** this study,lesion MACC1 expression in503 CRC patients were analyzed with immunohistochemistry,and its correlation with clinical parameters,patient survival,and its impact on prognostic stratification were *** revealed the survival of patient with MACC1

关键词： MACC1 colorectal cancer survival prognosis

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Energy Engineering 2025年第1期122卷 203-220页

作者： Yu zhang Daoyu zhang TiezhouWu School of Electrical and Electronic Engineering Hubei University of TechnologyWuhan430068China

Precisely estimating the state of health(SOH)of lithium-ion batteries is essential for battery management systems(BMS),as it plays a key role in ensuring the safe and reliable operation of battery ***,current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity ***,the Elman neural network,which is commonly employed for SOH estimation,exhibits several drawbacks,including slow training speed,a tendency to become trapped in local minima,and the initialization of weights and thresholds using pseudo-random numbers,leading to unstable model *** address these issues,this study addresses the challenge of precise and effective SOH detection by proposing a method for estimating the SOH of lithium-ion batteries based on differential thermal voltammetry(DTV)and an SSA-Elman neural ***,two health features(HFs)considering temperature factors and battery voltage are extracted fromthe differential thermal voltammetry curves and incremental capacity ***,the Sparrow Search Algorithm(SSA)is employed to optimize the initial weights and thresholds of the Elman neural network,forming the SSA-Elman neural network *** validate the performance,various neural networks,including the proposed SSA-Elman network,are tested using the Oxford battery aging *** experimental results demonstrate that the method developed in this study achieves superior accuracy and robustness,with a mean absolute error(MAE)of less than 0.9%and a rootmean square error(RMSE)below 1.4%.

关键词： Lithium-ion battery state of health differential thermal voltammetry Sparrow Search Algorithm

Four α correlations in nuclear fragmentation: a game of resonances

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Chinese Physics C 2021年第2期45卷 406-413页

作者： M.Huang A.Bonasera S.zhang H.Zheng D.X.Wang J.C.Wang N.Song X.Tang L.Lu g.zhang Z.Kohley M.R.D.Rodrigues Y.g.Ma S.J.Yennello College of Mathematics and Physics Inner Mongolia University for NationalitiesTongliao 028000China Institute of Nuclear Physics Inner Mongolia University for NationalitiesTongliao 028000China Cyclotron Institute Texas A&M UniversityCollege StationTX 77843USA Laboratori Nazionali del Sud INFNvia Santa Sofia6295123 CataniaItaly School of Physics and Information Technology Shaanxi Normal UniversityXi'an 710119China Shanghai Advanced Research Institute Chinese Academy of SciencesShanghai 201210China Chemistry Department Texas A&M UniversityCollege StationTX 77843USA Key Laboratory of Nuclear Physics and Ion-beam Application(MOE) Institute of Modern PhysicsFudan UniversityShanghai 200433China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China

Heavy ion collisions near the Fermi energy produce a‘freezout’region where fragments appear and later decay,emitting mainly neutrons,protons,alpha particles,and gamma *** decay products carry information about the decaying *** events may result in high yields of boson particles,especially alpha particles,and may carry important information about the nuclear Bose Einstein condensate(BEC).We study‘in medium’fourαcorrelations and link them to the‘fission’of 16O in two 8Be in the ground state or 12C*(Hoyle state)+α.Using novel techniques for the correlation functions,we confirm the resonance of 16O at 15.2 MeV excitation energy,and the possibility of a lower resonance,close to 14.72 *** latter resonance is the result of allαparticles having 92 keV relative kinetic energies.

关键词： 4αresonance Hoyle state Bose Einstein condensate heavy ion reactions

Automatic and Rapid Throughflow-Based Optimal Design Method for Multi-Stage Axial-Flow Compressors

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Journal of Thermal Science 2025年第1期34卷 77-91页

作者： LEI Fan zhang Xiawen JU Yaping zhang Chuhua Department of Fluid Machinery and Engineering School of Energy and Power EngineeringXi'an Jiaotong University Production and Environmental Department China Huaneng Group.Co.Ltd. State Key Laboratory for Strength and Vibration of Mechanical Structures Xi'an Jiaotong University

Throughflow design has the advantages of less time consumption and large optimization space,and thus is the corner stone of advanced design system of multi-stage axial-flow *** majority of relevant studies were limited to the throughflow inverse designs,and quite few works have been till now devoted to the throughflow optimal *** this work,an automatic and rapid throughflow-based optimal design method is proposed for axial-flow compressors in which a throughflow inverse design solver is embedded in optimal genetic algorithm to improve the design efficiency of axial-flow *** types of design parameters in the throughflow inverse design of axial-flow compressors,i.e.,swirl and shroud curve,are simultaneously used to optimize both the blade shape and flow *** proposed method is validated by the redesign optimization of the benchmark axial-flow compressor NASA Stage 35,and the CFD predictions show that the throughflow-based optimization leads to 1.18% efficiency benefit at design *** proposed method is then utilized to the two-dimensional throughflow optimal design of a large-scale 6.5-stage axial-flow industrial *** optimal design results are confirmed by CFD predictions,indicating that the proposed method can effectively improve the design adiabatic efficiency of the compressors by 1.09% within a few minutes on desk-top *** throughflow design implications are also obtained for advanced axial-flow industrial *** work could enhance the capability of throughflow design method and has engineering application value to explore the throughflow optimization space of multi-stage axial-flow compressors.

关键词： NASA

Ion motion effects on the generation of short-cycle relativistic laser pulses during radiation pressure acceleration

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High Power Laser Science and Engineering 2014年第2期2卷 1-7页

作者： W.P.Wang X.M.zhang X.F.Wang X.Y.Zhao J.C.Xu Y.H.Yu L.Q.Yi Y.Shi L.g.zhang T.J.Xu C.Liu Z.K.Pei B.F.Shen State Key Laboratory of High Field Laser Physics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences

The effects of ion motion on the generation of short-cycle relativistic laser pulses during radiation pressure acceleration are investigated by analytical modeling and particle-in-cell simulations. Studies show that the rear part of the transmitted pulse modulated by ion motion is sharper compared with the case of the electron shutter only. In this study, the ions further modulate the short-cycle pulses transmitted. A 3.9 fs laser pulse with an intensity of 1.33×1021W cm-2is generated by properly controlling the motions of the electron and ion in the simulations. The short-cycle laser pulse source proposed can be applied in the generation of single attosecond pulses and electron acceleration in a small bubble regime.

关键词： radiation pressure acceleration short-cycle pulses particle-in-cell simulations.

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地球关键带分类方法与中国案例研究

中国科学：地球科学 2021年第10期51卷 1681-1692页

作者：张甘霖宋效东吴克宁中国科学院南京土壤研究所土壤与农业可持续发展国家重点实验室南京210008 中国科学院南京地理与湖泊研究所中国科学院流域地理学重点实验室南京210008 中国科学院大学现代农业科学学院北京100049 中国地质大学(北京)土地科学技术学院北京100083 自然资源部土地整治重点实验室北京100035

地球关键带是地球表层系统自然综合体,存在着区域均一性与差异性.国内外学者已围绕不同类型的地球关键带开展了一系列研究,但迄今为止没有构建一个系统的分类体系或进行区域划分,因此不能综合反映其区域特征.为了适应科学研究与自然资... 详细信息

地球关键带是地球表层系统自然综合体,存在着区域均一性与差异性.国内外学者已围绕不同类型的地球关键带开展了一系列研究,但迄今为止没有构建一个系统的分类体系或进行区域划分,因此不能综合反映其区域特征.为了适应科学研究与自然资源规划的需要,在梳理地球关键带构成及其形成与演化主导影响因素的基础上,采用气候、成土母质、土壤类型、地下水深度、地貌类型与土地利用要素构建了地球关键带三级分类方案.在遵循地带性与非地带性相结合、地理要素量变与质变相结合的原则下,使用叠置法对主要构成要素的高级分类进行叠加和综合,并以中国为案例进行了地球关键带区划和制图.基于制图综合,将中国划分为44个一级单元、100个二级单元与1448个三级单元.对比分析了三级分类中典型单元的空间分异特征与形成原因,并分析了典型地球关键带的特征与中国现有观测站及其类型.通过对比国内相关区划工作,讨论了地球关键带分类与区划的应用价值与相关问题.通过分析国内外近十年的地球关键带研究进展,指出构建地球关键带演化过程与生态系统服务功能统一的理论框架是该新兴领域的重要任务之一.该研究提出的地表综合体分类方案能够综合体现地球关键带的区域差异及其驱动因子格局,为地表自然资源综合管理提供科学依据,可望对国内外相关研究提供参考和借鉴.

关键词：地球关键带分类升尺度演变空间分布

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Treatment of O-nitro-phenol Wastewater with Magnetization-Enhanced Oxidation by NaCIO Solution

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Journal of Environmental Science and Engineering 2010年第10期4卷 31-34页

作者： P. zhang X.g. Liu L. Zhong East China Jiaotong University School Nanehang 330013 China

O-nitro-phenol wastewater which contains refractory organic matters can not be degraded by conventional biological methods. In this work, o-nitro-phenol wastewater was effectively treated using magnetization-enhanced oxidation by NaCIO solutions. The pollutant concentrations in wastewater were 250 mg/L o-nitro-phenol, 2,000 mg/L CODcr and 150 times color. The experimental results show that, using the method in this work, 94.4% o-nitro-phenol, 94.2% CODCr and 100% color can be removed at pH 6, 200 mg charcoal, 8 mL oxidizer, 5 min reaction time in 1000 mL wastewater. The treatment can be enhanced under magnetic field. CODCr and o-nitro-phenol removal can keep unchanged while the reaction time can be reduced to 3 min when the intensity of magnetic field was 60 mT.

关键词： Magnetization oxidation O-nitro-phenol NaCIO

Effects of Electrolyte Anions and pH on Adsorption of Snlfate by Variable Charge Soils

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Pedosphere 1994年第3期4卷 235-244页

作者： zhang gANgYA, g. M. BRUMMER and zhang XIAONIAN (Instttute of Soil Science, Chinese Academy of Sctences,Nanjing 210008 ( China))Department of Soil Sctence, University of Bonn, Nussaliee 13, 53115 Bonn ( germany)

The effects of three electrolyte anions, ionic strength and pH on the adsorption of sulfate by two variablecharge soils, with different surface charge properties were studied. Under the conditions of the same pHand ionic strength the effect of electrolyte anions on the adsorption of sulfate was in the order of , indicating the difference of the nature among these three anions. For Ferralsol in the sameconcentration of chloride and perchloride solutions, the two sulfate adsorption-pH curves could intersectat certain pH value. When pH was higher than the intersecting point, more sulfate was adsorbed in theperchloride solution, while when it was lower than the intersecting point, more sulfate was adsorbed in thechloride solution. In different concentrations of electrolyte solution, the curves of the amount of oxy-acidanion adsorbed, which changed with pH, could intersect at a certain pH, which is termed point of zero salteffect （PZSE） on adsorption. The nature of electrolyte anions influenced obviously the appearance of PZSEfor sulfate adsorption. For ferraisol the curves of adsorption converged to about pH 7 in NaCl solution seemedto intersect in NaNO3 solution and to have a typical PZSE for sulfate adsorption in NaClO4 solution. ForAcrisol the three curves of adsorption were nearly parallel in NaCl and NaNO3 solutions and converged topH 6.5 in NaClO4 solution.

关键词： effect of electrolyte anion sulfate adorption mariable charge soil

ImSpiRE: image feature-aided spatial resolution enhancement method

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Science China Life Sciences 2025年第1期68卷 272-283页

作者： Yuwei Hua Yizhi zhang Zhenming guo Shan Bian Yong zhang State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center Institute for Regenerative MedicineDepartment of NeurosurgeryShanghai East HospitalShanghai Key Laboratory of Signaling and Disease ResearchFrontier Science Center for Stem Cell ResearchSchool of Life Sciences and TechnologyTongji University

The resolution of most spatially resolved transcriptomic technologies usually cannot attain the single-cell level, limiting their applications in biological discoveries. Here, we introduce ImSpiRE, an image feature-aided spatial resolution enhancement method for in situ capturing spatial transcriptome. Taking the information stored in histological images, ImSpiRE solves an optimal transport problem to redistribute the expression profiles of spots to construct new transcriptional profiles with enhanced resolution, together with extending the gene expression profiles into unmeasured regions. Applications to multiple datasets confirm that ImSpiRE can enhance spatial resolution to the subspot level while contributing to the discovery of tissue domains, signaling communication patterns, and spatiotemporal characterization.

关键词： spatial transcriptome histological images spatial resolution enhancement