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The Mitochondrion:A Potential Therapeutic Target for Alzheimer's Disease

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Neuroscience Bulletin 2018年第6期34卷 1127-1130页

作者： Mei-Hong Lu xiu-yun zhao Pei-Pei Yao De-En Xu Quan-Hong Ma Jiangsu Key Laboratory of Neuropsychiatric Diseases and Institute of Neuroscience Soochow UniversitySuzhou 215123China Department of Neurology and Suzhou Clinical Research Center of Neurological Disease The Second Affiliated Hospital of Soochow UniversitySuzhou 215004China Wuxi No.2People's Hospital Wuxi 214002China

Introduction The mitochondrion is a double-membrane organelle consisting of an outer membrane, intermembrane space, inner membrane, cristae, and matrix. It is the ‘‘energy plant’’ that provides most of the energy ... 详细信息

关键词： AD A Potential Therapeutic Target for Alzheimer’s Disease

Linkage Map Construction and Quantitative Trait Loci Analysis for Bolting Based on a Double Haploid Population of Brassica rapa

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Journal of Integrative Plant Biology 2007年第5期49卷 664-671页

作者： Xu Yang Yang-Jun Yu Feng-Lan Zhang Zhi-Rong Zou xiu-yun zhao De-Shuang Zhang Jia-Bing Xu College of Horticulture Northwest A & F University Yangling 712100 China National Engineering Research Center for Vegetables Beijing 100089 China

Early bolting of Chinese cabbage （Brassica rapa L.） during spring cultivation often has detrimental effects on the yield and quality of the harvested products. Breeding late bolting varieties is a major objective of Chinese cabbage breeding programs. In order to analyze the genetic basis of bolting traits, a genetic map of B. rapa was constructed based on amplified fragment-length poiymorphism （AFLP）, sequence-related amplified poiymorphism （SRAP）, simple sequence repeat （SSR）, random amplification of polymorphic DNA （RAPD）, and isozyme markers. Marker analysis was carried out on 81 double haploid （DH） lines obtained by microspore culture from F1 progeny of two homozygous parents： B. rapa L. ssp. pekinensis （BY）（an extra-early bolting Chinese cabbage line） and B. rapa L. ssp. rapifera （MM）（an extra-late bolting European turnip line）. A total of 326 markers including 130 AFLPs, 123 SRAPs, 16 SSRs, 43 RAPDs and 14 isozymes were used to construct a linkage map with 10 linkage groups covering 882 cM with an average distance of 2.71 cM between loci. The bolting trait of each DH line was evaluated by the bolting index under controlled conditions. Quantitative trait loci （QTL） analysis was conducted using multiple QTL model mapping with MapQTL5.0 software. Eight QTLs controlling bolting resistance were identified. These QTLs, accounting for 14.1% to 25.2% of the phenotypic variation with positive additive effects, were distributed into three linkage groups. These results provide useful information for molecular marker-assisted selection of late bolting traits in Chinese cabbage breeding programs.

关键词： bolting index Chinese cabbage doubled haploid population genetic map quantitative trait Ioc

Call for knowledge systematization:An example from lithium ion batteries recycling

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Journal of Energy Chemistry 2024年第7期94卷 169-170页

作者： yun zhao Baohua Li Institute of Materials Research Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055GuangdongChina

Scientific research is one of the primary ways to drive human civilization *** research institutions and researchers worldwide are dedicated to exploring the unknown,resulting in a flood of research findings[1].For instance,Web of Science alone collects over 10,000 academic papers on a daily *** each research field typically has around 10%of review articles,these mainly focus on a limited portion of the subject,failing to provide a comprehensive and real-time updated *** a result,researchers or students in a particular field may spend several months,or even longer,comprehending the state of research that has developed over just a few *** lack of systematic background often leads to redundant or similar studies,which is highly detrimental to the progress of science and technology.

关键词： lithium typically spend

Probabilistic seismic inversion based on physics-guided deep mixture density network

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Petroleum Science 2024年第3期21卷 1611-1631页

作者： Qian-Hao Sun zhao-yun Zong Xin Li National Key Laboratory of Deep Oil and Gas China University of Petroleum(East China)Qingdao266580ShandongChina Laoshan Laboratory Qingdao266580ShandongChina CNOOC Research Institute Ltd. Beijing100028China

Deterministic inversion based on deep learning has been widely utilized in model parameters *** by logging data,seismic data,wavelet and modeling operator,deterministic inversion based on deep learning can establish nonlinear relationships between seismic data and model ***,seismic data lacks low-frequency and contains noise,which increases the non-uniqueness of the *** conventional inversion method based on deep learning can only establish the deterministic relationship between seismic data and parameters,and cannot quantify the uncertainty of *** order to quickly quantify the uncertainty,a physics-guided deep mixture density network(PG-DMDN)is established by combining the mixture density network(MDN)with the deep neural network(DNN).Compared with Bayesian neural network(BNN)and network dropout,PG-DMDN has lower computing cost and shorter training time.A low-frequency model is introduced in the training process of the network to help the network learn the nonlinear relationship between narrowband seismic data and low-frequency *** addition,the block constraints are added to the PG-DMDN framework to improve the horizontal continuity of the inversion *** illustrate the benefits of proposed method,the PG-DMDN is compared with existing semi-supervised inversion *** synthetic data examples of Marmousi II model are utilized to quantify the influence of forward modeling part,low-frequency model,noise and the pseudo-wells number on inversion results,and prove the feasibility and stability of the proposed *** addition,the robustness and generality of the proposed method are verified by the field seismic data.

关键词： Deep learning Probabilistic inversion Physics-guided Deep mixture density network

Adaptive 5G-and-beyond network-enabled interpretable federated learning enhanced by neuroevolution

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Science China(Information Sciences) 2024年第7期67卷 107-132页

作者： Bin CAO Jianwei zhao Xin LIU yun LI State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology School of Artificial Intelligence Hebei University of Technology School of Economics and Management Hebei University of Technology Industrial Artificial Intelligence Centre Shenzhen Institute for Advanced StudyUniversity of Electronic Science and Technology of China

Mobile telemedicine systems based on the next-generation communication will significantly enhance deep fusion of network automation and federated learning(FL), but data privacy is a paramount issue in sectors like healthcare. This work hence considers FL augments 5G-and-beyond networks by training deep learning(DL) models without the need to exchange raw data. The substantial communication loads imposed on by extensive parameters involved in DL models are managed through adaptive scheduling mechanisms effectively. To address the opaque nature of DL models and to improve the interpretability of FL models, we introduce a convolutional fuzzy rough neural network specifically designed for medical image processing. We also develop a multiobjective memetic evolutionary algorithm to streamline and optimize the neural network architectures. Our comprehensive FL framework integrates smart scheduling, interpretable fuzzy rough logic,and neuroevolution. This framework is shown to improve communication efficiency, increase interpretability of diagnosis with protected privacy, and generate low-complexity neural architectures.

关键词： 5G-and-beyond network interpretable federated learning mobile telemedicine system fuzzy rough set theory neuroevolution

Numerical Study on the Aerodynamic and Fluid−Structure Interaction of An NREL-5MW Wind Turbine

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China Ocean Engineering 2024年第3期38卷 363-378页

作者： zhao Mi YU Wan-li WANG Pi-guang QU Yang DU xiu-li Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of TechnologyBeijing 100124China State Key Laboratory of Bridge Engineering Safety and Resilience Beijing University of TechnologyBeijing 100124China

A 5-MW wind turbine has been modeled and analyzed for fluid-structure interaction and aerodynamic *** this study, a full-scale model of a 5-MW wind turbine is first developed based on a computational fluid dynamics(CFD) approach, in which the unsteady, noncompressible Reynolds Averaged Navier-Stokes(RANS) method is used. The main focus of the study is to analyze the tower shadow effect on the aerodynamic performance of the wind turbine under different inlet flow conditions. Subsequently, the finite element model is established by considering fluid/structure interactions to study the structural stress, displacement, strain distributions and flow field information of the structure under the uniform wind speed. Finally, the fluid-structure interaction model is established by considering turbulent wind and the tower shadow effect. The variation rules of the dynamic response of the one-way and two-way fluid-structure interaction(FSI) models under different wind speeds are analyzed, and the numerical calculation results are compared with those of the centralized mass model. The results show that the tower shadow effect and structural deformation are the main factors affecting the aerodynamic load fluctuation of the wind turbine, which in turn affects the aerodynamic performance and structural stability of the blades. The structural dynamic response of the coupled model shows significant similarity, while the structural displacement response of the former exhibits less fluctuation compared with the conventional centralized mass model. The one-way fluid-structure interaction(FSI)model shows a higher frequency of stress-strain and displacement oscillations on the blade compared with the two-way FSI model.

关键词： computational fluid dynamics methods(CFD) tower shadow effect aerodynamic performance fluidstructure interaction space flow field

Analytical Solution and Simplified Formula for Added Mass of Horizontal and Vertical Motions of Truncated Cylinders Under Earthquake Action

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China Ocean Engineering 2024年第1期38卷 54-67页

作者： WANG Pi-guang LYU Si-yu QU Yang zhao Mi DU xiu-li State Key Laboratory of Bridge Engineering Safety and Resilience Beijing University of TechnologyBeijing 100124China Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education Beijing University of Tech-nologyBeijing 100124China

This paper investigates the hydrodynamic characteristics of floating truncated cylinders undergoing horizontal and vertical motions due to earthquake excitations in the finite water *** governing equation of the hydrodynamic pressure acting on the cylinder is derived based on the radiation theory with the inviscid and incompressible *** governing equation is solved by using the method of separating variables and analytical solutions are obtained by assigning reasonable boundary *** analytical result is validated by a numerical model using the exact artificial boundary simulation of the infinite *** main variation and distribution characteristics of the hydrodynamic pressure acting on the side and bottom of the cylinder are analyzed for different combinations of wide-height and immersion *** added mass coefficient of the cylinder is calculated by integrating the hydrodynamic pressure and simplified formulas are proposed for engineering *** calculation results show that the simplified formulas are in good agreement with the analytical solutions.

关键词： earthquake hydrodynamic pressure truncated cylinder added mass simplified formula

Efficacy and Safety of Ganyushu Granule in Treatment of Premenstrual Syndrome with Gan(Liver)Depression and Qi Stagnation Syndrome:A Randomized,Double-Blind,Multicenter,Phase-ⅡClinical Trial

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Chinese Journal of Integrative Medicine 2024年第9期30卷 771-779页

作者： TENG xiu-xiang XU Lian-wei LIN Jie ZHANG Jin-feng ZHANG Qin SUN yun YANG De-feng LI Hong-mei zhao Pei LIU Jun Department of Gynecology Beijing Hospital of Traditional Chinese MedicineCapital Medical UniversityBeijing100700China Department of Gynecology Longhua HospitalShanghai University of Traditional Chinese MedicineShanghai200032China Department of Gynecology The First Hospital of Hunan University of Chinese MedicineChangsha410021China Department of Gynecology Shanxi Traditional Chinese Medicine HospitalTaiyuan030024China Department of Gynecology Hangzhou Hospital of Traditional Chinese MedicineHangzhou310005China Department of Gynecology Wenzhou Hospital Affiliated to Zhejiang University of Traditional Chinese MedicineWenzhouZhejiang Province325000China Department of Gynecology Luoyang First People’s HospitalLuoyangHenan Province471000China Department of Gynecology The Second Affiliated Hospital of Heilongjiang University of Chinese MedicineHarbin150001China

Objective:To confirm the efficacy and safety of Ganyushu Granule(GYSG)in treating premenstrual syndrome(PMS)in patients with Gan(Liver)depression and qi stagnation syndrome(GDQSS)and determine its effective ***:From June 2018 to March 2021,a total of 240 PMS women with GDQSS were included and randomly divided into 3 groups in a 1:1:1 ratio using central block randomization:high-dose GYSG group(n=78,GYSG 2 packs/time),low-dose GYSG group(n=82,GYSG and its simulant 1 pack/time),and placebo group(n=80,GYSG simulant 2 packs/time).Treatment with GYSG or placebo was given thrice daily and for up to 3 menstrual *** outcomes were PMS diary(PMSD)score and premenstrual tension syndrome self-rating scale(PMTS).Secondary outcomes were Chinese medicine(CM)syndrome ***,PMTS,and efficacy of CM were evaluated with menstrual cycles during the treatment *** indicators were analyzed after each menstrual *** analyses were performed using an intention-to-treat method,and clinical safety was ***:Of the 216 patients included in the effectiveness analysis,70,75,and 71 patients were in the high-,low-dose GYSG,and placebo groups,*** the 2nd treatment cycle,the change in PMSD scores in the high-and low-dose groups was lower than that in the placebo group(P<0.05).PMTS scores in the high-dose GYSG group after the 1st treatment cycle was lower than that in the placebo group(P<0.05),while after the 3rd treatment cycle,that in the low-dose group was lower than that in the placebo group(P<0.05).After the 2nd treatment cycle,the high-dose GYSG group had the best CM syndrome efficacy(P<0.05).No serious adverse reactions were ***:GYSG was safe and well-tolerated at both doses for treating PMS patients with ***-dose GYSG might be the optimal dose for a phaseⅢtrial.

关键词： premenstrual syndrome Chinese medicine Ganyushu Granule randomized controlled trial

Considerations of advanced aqueous batteries recycling:A perspective

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Journal of Energy Chemistry 2024年第6期93卷 46-54,I0002页

作者： yun zhao Yuqiong Kang Hao Du Feiyu Kang Baohua Li Institute of Materials Research Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055GuangdongChina

*** Battery technology,serving as a basis for a rechargeable society,has developed rapidly over a century[1].The progress can be roughly divided into three stages,with the initial two mainly focusing on aqueous battery *** to 1859,research primarily focused on the conceptualization of batteries and the development of primary(non-rechargeable)cells[2].In the subsequent150 years,rechargeable battery technology emerged。

关键词： battery Battery primarily