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| 1 | The wonders of BMP9:From mesenchymal stem cell differentiation,angiogenesis,neurogenesis,tumorigenesis,and metabolism to regenerative medicine显示文摘Although bone morphogenetic proteins(BMPs)initially showed effective induction of ectopic bone growth in muscle,it has since been determined that these proteins,as members of the TGF-b superfamily,play a diverse and critical array of biological roles.These roles include regulating skeletal and bone formation,angiogenesis,and development and homeostasis of multiple organ systems.Disruptions of the members of the TGF-b/BMP superfamily result in severe skeletal and extra-skeletal irregularities,suggesting high therapeutic potential from understanding this family of BMP proteins.Although it was once one of the least characterized BMPs,BMP9 has revealed itself to have the highest osteogenic potential across numerous experiments both in vitro and in vivo,with recent studies suggesting that the exceptional potency of BMP9 may result from unique signaling pathways that differentiate it from other BMPs.The effectiveness of BMP9 in inducing bone formation was recently revealed in promising experiments that demonstrated efficacy in the repair of critical sized cranial defects as well as compatibility with bone-inducing bio-implants,revealing the great translational promise of BMP9.Furthermore,emerging evidence indicates that,besides its osteogenic activity,BMP9 exerts a broad range of biological functions,including stem cell differentiation,angiogenesis,neurogenesis,tumorigenesis,and metabolism.This review aims to summarize our current understanding of BMP9 across biology and the body. | Sami Mostafa Mikhail Pakvasa Elam Coalson Allen Zhu Alex Alverdy Hector Castillo Jiaming Fan Alex Li Yixiao Feng Di Wu Elliott Bishop Scott Du Mia Spezia Alissa Li Ofir Hagag Alison Deng Winny Liu Mingyang Li Sherwin S·Ho Aravind Athiviraham Michael J·Lee Jennifer Moriatis Wolf Guillermo A·Ameer Hue H·Luu Rex C·Haydon Jason Strelzow Kelly Hynes Tong-Chuan He Russell R·Reid | 2019 | Genes & Diseases2019，6，3： | 15 |
| 2 | Stem cell therapy for chronic skin wounds in the era of personalized medicine:From bench to bedside显示文摘With the significant financial burden of chronic cutaneous wounds on the healthcare system,not to the personal burden mention on those individuals afflicted,it has become increasingly essential to improve our clinical treatments.This requires the translation of the most recent benchtop approaches to clinical wound repair as our current treatment modalities have proven insufficient.The most promising potential treatment options rely on stem cellbased therapies.Stem cell proliferation and signaling play crucial roles in every phase of the wound healing process and chronic wounds are often associated with impaired stem cell function.Clinical approaches involving stem cells could thus be utilized in some cases to improve a body’s inhibited healing capacity.We aim to present the laboratory research behind the mechanisms and effects of this technology as well as current clinical trials which showcase their therapeutic potential.Given the current problems and complications presented by chronic wounds,we hope to show that developing the clinical applications of stem cell therapies is the rational next step in improving wound care. | Elam Coalson Elliot Bishop Wei Liu Yixiao Feng Mia Spezia Bo Liu Yi Shen Di Wu Scott Du Alexander J.Li Zhenyu Ye Ling Zhao Daigui Cao Alissa Li Ofir Hagag Alison Deng Winny Liu Mingyang Li Rex C.Haydon Lewis Shi Aravind Athiviraham Michael J.Lee Jennifer Moriatis Wolf Guillermo A.Ameer Tong-Chuan He Russell R.Reid | 2019 | Genes & Diseases2019，6，4： | 6 |
| 3 | Radar maneuvering target tracking algorithm based on human cognition mechanism显示文摘Radar Maneuvering Targets Tracking(RMTT) in clutter is a quite challenging issue due to the errors in the models and the varying dynamics of the processes. Modern radar tracking system calls for the adaptive signal and data processing algorithm urgently to adapt the uncertainty of the environment. The mechanism of human cognition can help persons cope with the similar diffi-culties in visual tracking. Inspired by human cognition mechanism, a comprehensive method for RMTT is proposed. In the method, the model transition probability in Interacting Multiple Model(IMM) and the validation gate can be adjusted dynamically with target maneuver;the waveform in radar transmitter can vary with the perception of the environment. Experimental results in cluttered scenes show that the proposed algorithm is more accurate for perceiving the environment and targets, and the waveform selection algorithm is better than that with fixed waveform. | Shuliang WANG Daping BI Huailin RUAN Mingyang DU | 2019 | Chinese Journal of Aeronautics2019，32，7： | 4 |
| 4 | Sustainable activation of peroxymonosulfate by the Mo(Ⅳ)in MoS_(2) for the remediation of aromatic organic pollutants显示文摘Although MoS_(2) has been proved to be a very ideal cocatalyst in advanced oxidation process(AOPs),the activation process of peroxy mono sulfate(PMS)is still inseparable from metal ions which inevitably brings the risk of secondary pollution and it is not conducive to large-scale industrial application.In this study,the commercial MoS_(2),as a durable and efficient catalyst,was used for directly activating PMS to degrade aromatic organic pollutant.The commercial MoS_(2)/PMS catalytic system demonstrated excellent removal efficiency of phenol and the total organic carbon(TOC)residual rate reach to 25%.The degradation rate was significantly reduced if the used MoS_(2) was directly carried out the next cycle experiment without any post-treatment.Interestingly,the commercial MoS_(2) after post-treated with H2 O_(2) can exhibit good stability and recyclability for cyclic degradation of phenol.Furthermore,the mechanism for the activation of PMS had been investigated by density functional theory(DFT)calculation.The renewable Mo4+exposed on the surface of MoS_(2) was deduced as the primary active site,which realized the direct activation of PMS and avoided secondary pollution.Taking into account the reaction cost and efficient activity,the development of commercial MoS_(2) catalytic system is expected to be applied in industrial wastewater. | Mengmeng Du Qiuying Yi Jiahui Ji Qiaohong Zhu Huan Duan Mingyang Xing Jinlong Zhang | 2020 | Chinese Chemical Letters2020，31，10： | 3 |
| 5 | Memantine combined with environmental enrichment improves spatial memory and alleviates Alzheimer's disease-like pathology in senescence-accelerated prone-8(SAMP8) mice显示文摘Memantine is a N-methyl-D-aspartate(NMDA) receptor antagonist approved for the treatment of moderate to severe Alzheimer's disease(AD).Environmental enrichment(EE) has shown significant beneficial effects on functional improvement in AD.In this study,we sought to determine whether combining these two distinct therapies would yield greater benefit than either drug used alone.We investigated the effect of memantine combined with EE on spatial learning and memory and AD-like pathology in a widely used AD model,the senescence-accelerated prone mice(SAMP8).The SAMP8 mice were randomly assigned to enriched housing(EH) or standard housing(SH),where either memantine(20 mg/kg) or saline was given by gastric lavage once daily continuously for eight weeks.Our results showed that,when provided separately,memantine and EE significantly improved spatial learning and memory by shortening escape latencies and increasing the frequency of entrance into the target quadrant.When combined,memantine and EE showed additive effect on learning and memory as evidenced by significant shorter escape latencies and higher frequency of target entrance than either drug alone.Consistent with the behavior results,pathological studies showed that both memantine and EE significantly reduced hippocampal CA1 neurofibrilliary tangles(NFTs) as well as amyloid beta precursor protein(APP) levels.Combining both therapies synergistically lessened NFTs and APP expression compared to either drug alone in SAMP8 mice,indicating that the combination of memantine with EE could offer a novel and efficient therapeutic strategy for the treatment of AD. | Jingde Dong Mi Zhou Xiaoqiang Wu Mingyang Du Xiaoshan Wang | 2012 | The Journal of Biomedical Research2012，26，6： | 2 |
| 6 | A novel method of determining the optimal polyhedral orientation for discrete global grid systems applicable to regionalscale areas of interest显示文摘The polyhedral discrete global grid system(DGGS)is a multi-resolution discrete earth reference model supporting the fusion and processing of multi-source geospatial information.The orientation of the polyhedron relative to the earth is one of its key design choices,used when constructing the grid system,as the efficiency of indexing will decrease if local areas of interest extend over multiple faces of the spherical polyhedron.To date,most research has focused on global-scale applications while almost no rigorous mathematical models have been established for determining orientation parameters.In this paper,we propose a method for determining the optimal polyhedral orientation of DGGSs for areas of interest on a regional scale.The proposed method avoids splitting local or regional target areas across multiple polyhedral faces.At the same time,it effectively handles geospatial data at a global scale because of the inherent characteristics of DGGSs.Results show that the orientation determined by this method successfully guarantees that target areas are located at the center of a single polyhedral face.The orientation process determined by this novel method reduces distortions and is more adaptable to different geographical areas,scales,and base polyhedrons than those employed by existing procedures. | Jianbin Zhou Jin Ben Rui Wang Mingyang Zheng Xiaochuang Yao Lingyu Du | 2020 | International Journal of Digital Earth2020，13，12： | 2 |
| 7 | Association of assisted reproductive technology, germline de novo mutations and congenital heart defects in a prospective birth cohort study显示文摘Emerging evidence suggests that children conceived through assisted reproductive technology(ART)have a higher risk of congenital heart defects(CHDs)even when there is no family history.De novo mutation(DNM)is a well-known cause of sporadic congenital diseases;however,whether ART procedures increase the number of germline DNM(gDNM)has not yet been well studied.Here,we performed whole-genome sequencing of 1137 individuals from 160 families conceived through ART and 205 families conceived spontaneously.Children conceived via ART carried 4.59 more gDNMs than children conceived spontaneously,including 332 paternal and 1.26 maternal DNMs,after correcting for parental age at conception,cigarette smoking,alcohol drinking,and exercise behaviors.Paternal DNMs in offspring conceived via ART are characterized by C>T substitutions at CpG sites,which potentially affect protein-coding genes and are significantly associated with the increased risk of CHD.In addition,the accumulation of non-coding functional mutations was independently associated with CHD and 87.9% of the mutations were originated from the father.Among ART offspring,infertility of the father was associated with elevated paternal DNMs;usage of both recombinant and urinary follicle-stimulating hormone and high-dosage human chorionic gonadotropin trigger was associated with an increase of maternal DNMs.In sum,the increased gDNMs in offspring conceived by ART were primarily originated from fathers,indicating that ART itself may not be a major reason for the accumulation of gDNMs.Our findings emphasize the importance of evaluating the germline status of the fathers in families with the use of ART. | Cheng Wang Hong Lv Xiufeng Ling Hong Li Feiyang Diao Juncheng Dai Jiangbo Du Ting Chen Qi Xi Yang Zhao Kun Zhou Bo Xu Xiumei Han Xiaoyu Liu Meijuan Peng Congcong Chen Shiyao Tao Lei Huang Cong Liu Mingyang Wen Yangqian Jiang Tao Jiang Chuncheng Lu Wei Wu Di Wu Minjian Chen Yuan Lin Xuejiang Guo Ran Huo Jiayin Liu Hongxia Ma Guangfu Jin Yankai Xia Jiahao Sha Hongbing Shen Zhibin Hu | 2021 | Cell Research2021，31，8： | 2 |
| 8 | Detection of Asymptomatic Carotid Artery Stenosis in High-Risk Individuals of Stroke Using a Machine-Learning Algorithm显示文摘Objective Asymptomatic carotid stenosis(ACS)is closely associated to the incidence of severe cerebrovascular diseases.Early identifying the individuals with ACS and its associated risk factors could be beneficial for primary prevention of stroke.This study aimed to investigate a machine-learning algorithm for the detection of ACS among high-risk population of stroke based on the associated risk factors.Methods A novel model of machine learning was utilized to screen the associated predictors of ACS based on 30 potential risk factors.The algorithm of this model adopted a random forest pattern based on the training data and then was verified using the testing data.All of the original data were retrieved from the China National Stroke Screening and Prevention Project(CNSSPP),including demographic,clinical and laboratory characteristics.The individuals with high risk of stroke were enrolled and randomly divided into a training group and a testing group at a ratio of 4:1.The identification of carotid stenosis by carotid artery duplex scans was set as the golden standard.The receiver operating characteristic(ROC)curve and the area under the curve(AUC)was used to evaluate the efficacy of the model in detecting ACS.Results Of 2841 high risk individual of stroke enrolled,326(11.6%)were diagnosed as ACS by ultrasonography.The top five risk fectors contributing to ACS in this model were identified as family history of dyslipidemia,high level of lowdensity lipoprotein cholesterol(LDL-c),low level of high-density lipoprotein cholesterol(HDL-c),aging,and low body. | Junxiong Yin Cheng Yu Lixia Wei Chuanyong Yu Hongxing Liu Mingyang Du Feng Sun Chongjun Wang Xiaoshan Wang | 2020 | Chinese Medical Sciences Journal2020，35，4： | 2 |
| 9 | Room-Temperature Superconductivity in Yb/Lu Substituted Clathrate Hexahydrides under Moderate Pressure显示文摘Room temperature superconductivity is a dream that mankind has been chasing for a century.In recent years,the synthesis of H3S,LaH10,and C-S-H compounds under high pressures has gradually made that dream become a reality.But the extreme high pressure required for stabilization of hydrogen-based superconductors limit their applications.So,the next challenge is to achieve room-temperature superconductivity at significantly low pressures,even ambient pressure.In this work,we design a series of high temperature superconductors that can be stable at moderate pressures by incorporating heavy rare earth elements Yb/Lu into sodalite-like clathrate hexahydrides.In particular,the critical temperatures(T_(c))of Y_(3)LuH_(24),YLuH_(12),and YLu_(3)H_(24)can reach 283 K at 120 GPa,275 K at 140 GPa,and 288 K at 110 GPa,respectively.Their critical temperatures are close to or have reached room temperature,and minimum stable pressures are significantly lower than that of reported room temperature superconductors.Our work provides an effective method for the rational design of low-pressure stabilized hydrogen-based superconductors with room-temperature superconductivity simultaneously and will stimulate further experimental exploration. | Mingyang Du Hao Song Zihan Zhang Defang Duan Tian Cui | 2022 | Research2022，，4： | 1 |
| 10 | Colonization and development of the gut microbiome in calves显示文摘Colonization and development of the gut microbiome are crucial for the growth and health of calves.In this review,we summarized the colonization,beneficial nutrition,immune function of gut microbiota,function of the gut barrier,and the evolution of core microbiota in the gut of calves of different ages.Homeostasis of gut microbiome is beneficial for nutritional and immune system development of calves.Disruption of the gut microbiome leads to digestive diseases in calves,such as diarrhea and intestinal inflammation.Microbiota already exists in the gut of calf fetuses,and the colonization of microbiota continues to change dynamically under the influence of various factors,which include probiotics,diet,age,and genotype.Colonization depends on the interaction between the gut microbiota and the immune system of calves.The abundance and diversity of these commensal microbiota stabilize and play a critical role in the health of calves. | Yufeng Du Ya Gao Mingyang Hu Jinxiu Hou Linhai Yang Xianghuang Wang Wenjuan Du Jianxin Liu Qingbiao Xu | 2023 | Journal of Animal Science and Biotechnology2023，14，4： | 1 |
| 11 | Efficient Catalytic Conversion of Polysulfides by Biomimetic Design of “Branch‑Leaf” Electrode for High‑Energy Sodium–Sulfur Batteries显示文摘Rechargeable room temperature sodium–sulfur(RT Na–S)batteries are seriously limited by low sulfur utilization and sluggish electrochemical reaction activity of polysulfide intermediates.Herein,a 3D“branch-leaf”biomimetic design proposed for high performance Na–S batteries,where the leaves constructed from Co nanoparticles on carbon nanofibers(CNF)are fully to expose the active sites of Co.The CNF network acts as conductive“branches”to ensure adequate electron and electrolyte supply for the Co leaves.As an effective electrocatalytic battery system,the 3D“branch-leaf”conductive network with abundant active sites and voids can effectively trap polysulfides and provide plentiful electron/ions pathways for electrochemical reaction.DFT calculation reveals that the Co nanoparticles can induce the formation of a unique Co–S–Na molecular layer on the Co surface,which can enable a fast reduction reaction of the polysulfides.Therefore,the prepared“branch-leaf”CNF-L@Co/S electrode exhibits a high initial specific capacity of 1201 mAh g^−1 at 0.1 C and superior rate performance. | Wenyan Du Kangqi Shen Yuruo Qi Wei Gao Mengli Tao Guangyuan Du Shu‑juan Bao Mingyang Chen Yuming Chen Maowen Xu | 2021 | Nano-Micro Letters2021，13，3： | 1 |
| 12 | Electrode particulate materials for advanced rechargeable batteries:A review显示文摘The demand for large-scale energy storage is increasing due to the decreasing non-renewable resources and deteriorating environmental pollution.Developing rechargeable batteries with high energy density and long cycle performance is an ideal choice to meet the demand of energy storage system.The development of excellent electrode particles is of great significance in the commercialization of nextgeneration batteries.The ideal electrode particles should balance raw material reserves,electrochemical performance,price and environmental protection.Among them,the development of electrode particulate materials with excellent electrochemical properties is the top priority at present.In this review,the typical researches of electrode materials are summarized in terms of crystal structure,morphology,pore structure,surface and interface regulation.Firstly,the structural characteristics and improvement methods of transition metal oxides,polyanionic compounds,Prussian blue and their analogues are introduced.Then,the different effects of particulate morphology,pore,surface and interface structure on the performance of electrode materials are discussed.For designing high-performance electrode materials,preparation route should be set according to the particle properties of the materials and the synergistic effect of various optimization methods should be adopted.At the same time,in addition to the electrode materials,other components of the rechargeable batteries,such as current collector,separator and electrolytes,should be optimized to improve the overall performance of the batteries.This review would provide important guiding principle for designing high-performance electrode particulate materials. | Mingyang Ma Miao Du Yan Liu Hongyan Lü Jialin Yang Zelin Hao Jinzhi Guo Xinglong Wu | 2024 | Particuology2024，86，3： | 0 |
| 13 | Time-series surface water reconstruction method(TSWR)based on spatial distance relationship of multi-stage water boundaries显示文摘Spatiotemporal continuity of surface water datasets widely known for its significance in the surface water dynamic monitoring and assessments,are faced with drawbacks like cloud influence,which hinders the direct extraction of data from time-series remote sensing images.This study proposes a Time-series Surface Water Reconstruction method(TSWR).The initial stage of this method involves the effective use of remote sensing images to automatically construct multi-stage surface water boundaries based on Google Earth Engine(GEE).Then,we reconstructed regions the reconstruction of regions with missing water pixels using the distance relationship between the multi-stage water boundaries in previous and later periods.When applied to 10 large rivers around the world,this method yielded an overall accuracy of 98%for water extraction,an RMSE of 0.41 km2.Furthermore,time-series reconstruction tests conducted in 2020 on the Lancang and Danube rivers revealed a significant improvement in the image availability.These findings demonstrated that this method could not only be used to accurately reconstruct the surface water distribution missing water images,but also to depict a more pronounced time variation characteristic.The successful application of this method on GEE demonstrates its importance for use on large scales or in global studies. | Mingyang Li Shanlong Lu Cong Du Yong Wang Chun Fang Xinru Li Hailong Tang Muhammad Hasan Ali Baig Harrison Odion Ikhumhen | 2022 | International Journal of Digital Earth2022，15，1： | 0 |
| 14 | Anomalous-plasmoid-ejection-induced secondary magnetic reconnection: modeling solar flares and coronal mass ejections by laser–plasma experiments显示文摘The driving mechanism of solar flares and coronal mass ejections is a topic of ongoing debate, apart from the consensus that magnetic reconnection plays a key role during the impulsive process. While present solar research mostly depends on observations and theoretical models, laboratory experiments based on high-energy density facilities provide the third method for quantitatively comparing astrophysical observations and models with data achieved in experimental settings.In this article, we show laboratory modeling of solar flares and coronal mass ejections by constructing the magnetic reconnection system with two mutually approaching laser-produced plasmas circumfused of self-generated megagauss magnetic fields. Due to the Euler similarity between the laboratory and solar plasma systems, the present experiments demonstrate the morphological reproduction of flares and coronal mass ejections in solar observations in a scaled sense,and confirm the theory and model predictions about the current-sheet-born anomalous plasmoid as the initial stage of coronal mass ejections, and the behavior of moving-away plasmoid stretching the primary reconnected field lines into a secondary current sheet conjoined with two bright ridges identified as solar flares. | Quanli Dong Dawei Yuan Shoujun Wang Xun Liu Yutong Li Xiaoxuan Lin Huigang Wei Jiayong Zhong Shaoen Jiang Yongkun Ding Bobin Jiang Kai Du Yongjian Tang Mingyang Yu Xiantu He Neng Hua Zhanfeng Qiao Kuixi Huang Ming Chen Jianqiang Zhu Gang Zhao Zhengming Sheng Jie Zhang | 2013 | High Power Laser Science and Engineering2013，1，1： | 0 |
| 15 | Flame Retardant Effect of Isocyanate Trimer on Polyisocyanurate Foam显示文摘The effect of Isocyanate trimer on the flame retardancy mechanism of polyisocyanurate (PIR) foam was studied through 3 aspects including the mechanism of thermal decomposition stage in condensed phase,the barrier mechanism of carbon layer formation on the surface in condensed phase and the mechanism in gaseous phase by using infrared spectroscopy,scanning electron microscopy,thermal analysis,cone calorimeter,high temperature pyrolysis gas chromatography mass spectrometry.The results show that the trimer can improve the thermal stability of the PIR foam and is not easily decomposed in the combustion.The trimer can increase the carbon content of the PIR foam to 29.9% than that of the polyurethane (PU) foam.The carbon layer formed is denser,and it can retards heat and oxygen and thus improve the flame retardant properties;trimer can reduce the release of flammable polyol gas,decompose into more carbon dioxide which is inert gas and it has certain flame retardant effect in the gaseous phase. | Mingyang Du Chunze He Canhui Zhou | 2018 | Journal of Polymer Science and Engineering2018，1，1： | 0 |
| 16 | Pt nanodendrites with (111) crystalline facet as an efficient, stable and pH-universal catalyst for electrochemical hydrogen production显示文摘High-performance nanomaterial catalysts for hydrogen evolution reaction via electrochemical water splitting are significant to the development of hydrogen energy.In this work,we report a robust and highly active catalyst fabricated through direct electrochemical deposition of Pt nanodendrites at the surface of activated carbon(Pt NDs).Owing to the large elect roc he mically active area and the exposed(111) facet of Pt,Pt NDs exhibits outstanding activity towards hydrogen evolution reaction with a low requiring overpotential of 0.027 V at 10 mA/cm2 and Tafel slope of ≈22 mV/dec in acidic media.In addition,the hydrogen yield of Pt NDs is 30%-45% larger than that of commercial Pt/C at the same Pt loadings.Moreover,Pt NDs exhibits excellent lo ng-term durability whose hydrogen production efficiency remains unchanged after six-hour hydrogen production,while the efficiency of commercial Pt/C catalyst decayed 9% under the same circumstance.Considering the superiority of catalytic activity and stability,this Pt NDs present great potentiality towards practical hydrogen production application. | Huifang Sun Qi Zeng Chen Ye Yangguang Zhu Feiyue Chen Mingyang Yang Li Fu Shiyu Du Jinhong Yu Nan Jiang Jianxiong Liu Tianzhun Wu Cheng-Te Lin | 2020 | Chinese Chemical Letters2020，31，9： | 0 |
| 17 | High T_(c) superconductivity in layered hydrides XH_(15) (X = Ca, Sr, Y, La) under high pressures显示文摘The theoretical predictions and experimental synthesis of H_(3)S and LaH_(10) superconductors with record high superconducting transition temperatures(T_(c))have promoted the hydrogen-based superconducors to be a research hotspot in the field of solid-state physics.Here,we predict an unprecedented layered structure CaH15,with high T_(c) of 189 K at 200 GPa using ab initio calculations.As concerns the novel structure,one layer is made of a hydrogen nonagon,the other layer consists of a Ca atom and six H_(2) molecular units surrounding the Ca atom.This layered structure was also found in SrH_(15),YH_(15),and LaH_(15) at high pressures,each materials exhibit high T_(c) especially YH_(15) can reach above 200 K at 220 GPa.It represents the second class of layered superhydrides with high value of Tc after pentagraphene like HfH10. | Yue Chen Zhengtao Liu Ziyue Lin Qiwen Jiang Mingyang Du Zihan Zhang Hao Song Hui Xie Tian Cui Defang Duan | 2022 | Frontiers of physics2022，17，6： | 0 |
| 18 | An intelligent prediction method of fractures in tight carbonate reservoirs显示文摘An intelligent prediction method for fractures in tight carbonate reservoir has been established by upgrading single-well fracture identification and interwell fracture trend prediction with artificial intelligence,modifying construction of interwell fracture density model,and modeling fracture network and making fracture property equivalence.This method deeply mines fracture information in multi-source isomerous data of different scales to reduce uncertainties of fracture prediction.Based on conventional fracture indicating parameter method,a prediction method of single-well fractures has been worked out by using 3 kinds of artificial intelligence methods to improve fracture identification accuracy from 3 aspects,small sample classification,multi-scale nonlinear feature extraction,and decreasing variance of the prediction model.Fracture prediction by artificial intelligence using seismic attributes provides many details of inter-well fractures.It is combined with fault-related fracture information predicted by numerical simulation of reservoir geomechanics to improve inter-well fracture trend prediction.An interwell fracture density model for fracture network modeling is built by coupling single-well fracture identification and interwell fracture trend through co-sequential simulation.By taking the tight carbonate reservoir of Oligocene-Miocene AS Formation of A Oilfield in Zagros Basin of the Middle East as an example,the proposed prediction method was applied and verified.The single-well fracture identification improves over 15%compared with the conventional fracture indication parameter method in accuracy rate,and the inter-well fracture prediction improves over 25%compared with the composite seismic attribute prediction.The established fracture network model is well consistent with the fluid production index. | DONG Shaoqun ZENG Lianbo DU Xiangyi BAO Mingyang LYU Wenya JI Chunqiu HAO Jingru | 2022 | Petroleum Exploration and Development2022，49，6： | 0 |
| 19 | Forecasting the western Pacific subtropical high index during typhoon activity using a hybrid deep learning model显示文摘Seasonal location and intensity changes in the western Pacific subtropical high(WPSH)are important factors dominating the synoptic weather and the distribution and magnitude of precipitation in the rain belt over East Asia.Therefore,this article delves into the forecast of the western Pacific subtropical high index during typhoon activity by adopting a hybrid deep learning model.Firstly,the predictors,which are the inputs of the model,are analysed based on three characteristics:the first is the statistical discipline of the WPSH index anomalies corresponding to the three types of typhoon paths;the second is the correspondence of distributions between sea surface temperature,850 hPa zonal wind(u),meridional wind(v),and 500 hPa potential height field;and the third is the numerical sensitivity experiment,which reflects the evident impact of variations in the physical field around the typhoon to the WPSH index.Secondly,the model is repeatedly trained through the backward propagation algorithm to predict the WPSH index using 2011–2018 atmospheric variables as the input of the training set.The model predicts the WPSH index after 6 h,24 h,48 h,and 72 h.The validation set using independent data in 2019 is utilized to illustrate the performance.Finally,the model is improved by changing the CNN2D module to the DeCNN module to enhance its ability to predict images.Taking the 2019 typhoon“Lekima”as an example,it shows the promising performance of this model to predict the 500 hPa potential height field. | Jianyin Zhou Mingyang Sun Jie Xiang Jiping Guan Huadong Du Lei Zhou | 2022 | Acta Oceanologica Sinica2022，41，4： | 0 |
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