The composition and sedimentary controlling effect of the coal measure gas-bearing(CMG)system of the Jurassic Xishanyao Formation in the southern margin of the Junggar Basin(SJB)are analysed based on core observations...The composition and sedimentary controlling effect of the coal measure gas-bearing(CMG)system of the Jurassic Xishanyao Formation in the southern margin of the Junggar Basin(SJB)are analysed based on core observations,sample tests,and logging data.The results show that the lithological associations of the SJB can be classified into 6 types based on sediment supply strengths and sealing abilities,while the gas shows of CMG reservoirs vary greatly among different lithological associations.Due to the diversified coal-forming environment and multistage coal accumulation,superimposed CMG systems are generally developed in the SJB,and their types include:superimposed unattached CMG systems,multilayer unified CMG systems,and superimposed mixed CMG systems.Furthermore,sedimentary controls on the vertical and regional distributions of different types of CMG systems are discussed according to the sedimentary facies of single wells and well cross-sections and the corresponding data of well log,gas logging,and gas contents.Shore shallow lake environments in the Fukang,Miquan,and northern Liuhuanggou areas were favourable for forming superimposed unattached CMG systems.Braided river environments in the Houxia and the southern Liuhuanggou areas usually formed multilayer unified CMG systems.Braided river delta environments in the Manasi,Hutubi,and eastern Sikeshu areas generally developed multilayer unified CMG systems and superimposed mixed CMG systems.For different types of superimposed CMG systems,the number of gas-bearing units,coal seam gas content,vertical hydraulic connectivity and lateral continuity vary considerably,which makes it necessary to tailor the CMG co-production plan to the type of CMG system.展开更多
Currently,regression prediction methods based on logging data is one of the main methods for analyzing gas content of coal seams.However,the complexity of logging parameters for deep coal seams and the scarcity of mea...Currently,regression prediction methods based on logging data is one of the main methods for analyzing gas content of coal seams.However,the complexity of logging parameters for deep coal seams and the scarcity of measured gas content data signifcantly afects the accuracy and generalizability of data regression models.Accurately predicting the gas content of coal seams under small-sample condition become a difcult point in deep coalbed methane(CBM)exploration.The ModelAgnostic Meta-Learning(MAML)and Support Vector Regression(SVR)algorithms are among the few suitable for smallsample learning,exhibiting strong adaptability under limited sample conditions.In this study,logging parameters are used as input variables to construct MAML and SVR models,and their performance in predicting gas content of deep coal seams across diferent regions and layers is compared.The results demonstrate that the MAML algorithm efectively addresses the complex relationships between gas content of deep coal seam and logging parameters.The prediction errors for test dataset and new samples are merely 3.61%and 4.52%respectively,indicating exceptional adaptability,robust generalization capability,and stable model performance.In contrast,the dependency of SVR model on input parameters restricts its accuracy and generalizability in predicting gas content in deep coal seams with varying geological conditions.Although achieving a test dataset error of 4.71%,the SVR model demonstrates substantially degraded performance when applied to novel samples,with prediction errors escalating to 12.46%.Therefore,the MAML model is selected to predict gas content in the unknown areas of the Baijiahai region.The prediction results reveal that the gas content of coal seams in the Xishanyao formation(J2x)ranges from 1.32 m^(3)/t to 16.11 m^(3)/t,while that in the Badaowan Formation(J1b)varies between 1.73 m^(3)/t and 11.27 m^(3)/t.Notably,the gas enrichment areas are predominantly distributed in well blocks adjacent to fault systems,such as wells C31 and BJ8,etc.,which align with the favorable geological conditions for deep CBM accumulation in the Baijiahai region.These spatial distribution patterns not only corroborate existing geological insights but also further validate the reliability of the MAML model in predicting gas content within deep coal seams.展开更多
Macular hemorrhage(MH)is one of the most severe complications of high myopia,posing a significant threat to vision.MH can occur with or without choroidal neovascularization(CNV),with the CNV-associated form being the ...Macular hemorrhage(MH)is one of the most severe complications of high myopia,posing a significant threat to vision.MH can occur with or without choroidal neovascularization(CNV),with the CNV-associated form being the most prevalent.CNV-related MH may develop secondary to conditions such as pathological myopia,and punctate inner choroidopathy.Conversely,MH without CNV is often linked to factors like lacquer cracks,trauma,ocular surgery.While the exact mechanisms of CNV in high myopia are still not fully understood,anti-VEGF injections have been shown to be effective in improving visual function in patients with CNV.This review summarizes the clinical characteristics of various causes of MH and their respective treatments,providing valuable insights to help clinicians make informed diagnostic and therapeutic decisions.展开更多
Diabetic wounds are characterized by chronic inflammation,vascular insufficiency,and peripheral neuropathy,which collectively disrupt the neurovascular microenvironment essential for coordinated tissue regeneration.Ho...Diabetic wounds are characterized by chronic inflammation,vascular insufficiency,and peripheral neuropathy,which collectively disrupt the neurovascular microenvironment essential for coordinated tissue regeneration.However,strategies targeting neurovascular regeneration remain limited.Here,we developed a sprayable hydrogel sponge based on gelatin methacryloyl and methacrylamide-modifiedε-poly-L-lysine(S-GPL),cofunctionalized with VEGF-mimetic peptide(KLT)and BDNF-mimetic peptide(RGI).The sprayable format con-forms to irregular wound geometries,while the pneumatic spraying technique generates high-pressure micro-bubbles that create a porous structure,thereby enhancing exudate absorption and sustained peptide release as a sponge dressing.Additionally,the incorporation of KLT and RGI facilitates the reconstruction of the neuro-vascular microenvironment.In vitro,KLT promoted endothelial cell maturation and cytokine secretion,whereas RGI enhanced Schwann cell activity.Notably,S-GPL^(KLT/RGI) facilitated intercellular interactions between RSCs and HUVECs,highlighting the cellular mechanisms underlying neurovascular communication.In a full-thickness diabetic wound model in rats,the hydrogel accelerated wound closure,re-epithelialization,and matrix remodeling.These effects were accompanied by enhanced neovascularization and axonal regeneration,along with the formation of a spatially organized neurovascular niche,as evidenced by CD31^(+)capillaries closely aligned with PGP9.5^(+)nerve fibers.Building upon the intrinsic anti-inflammatory properties of S-GPL,tran-scriptomic and immunohistochemical analyses further revealed that S-GPL^(KLT/RGI) treatment suppressed the IL-17 signaling pathway.However,the relationship between immunomodulation and neurovascular reconstruction warrants further investigation.Collectively,this study presents a sprayable antibacterial hydrogel that not only reconstructs the neurovascular microenvironment but also mitigates chronic inflammation,offering a clinically translatable strategy for diabetic wound management.展开更多
An improved evaluation method for estimating gas content during the inversion process of deep-burial coal was established based on the on-site natural desorption curves.The accuracy of the US Bureau of Mines(USBM),Pol...An improved evaluation method for estimating gas content during the inversion process of deep-burial coal was established based on the on-site natural desorption curves.The accuracy of the US Bureau of Mines(USBM),Polynomial fitting,Amoco,and the improved evaluation methods in the predicting of lost gas volume in deep seams in the Mabidong Block of the Qinshui Basin were then compared.Furthermore,the calculation errors of these different methods in simulating lost gas content based on coring time were compared.A newly established nonlinear equation was developed to estimate the minimum error value,by controlling the lost time within 16 min,the related errors can be reduced.The improved evaluation was shown to accurately and rapidly predict the gas content in deep seams.The results show that the deep coal bed methane accumulation is influenced by various factors,including geological structure,hydrodynamic conditions,roof lithology,and coalification.Reverse faults and weak groundwater runoff can hinder the escape of methane,and these factors should be considered in the future exploration and development of coalbed methane.展开更多
基金financially supported by the National Natural Science Foundation of China(Nos.41772132,41502157,41530314)the key project of the National Science&Technology(No.2016ZX05043-001)+1 种基金the Fundamental Research Funds for the Central Universities(No.2652019095)the China Postdoctoral Science Foundation(No.2021M692998)。
文摘The composition and sedimentary controlling effect of the coal measure gas-bearing(CMG)system of the Jurassic Xishanyao Formation in the southern margin of the Junggar Basin(SJB)are analysed based on core observations,sample tests,and logging data.The results show that the lithological associations of the SJB can be classified into 6 types based on sediment supply strengths and sealing abilities,while the gas shows of CMG reservoirs vary greatly among different lithological associations.Due to the diversified coal-forming environment and multistage coal accumulation,superimposed CMG systems are generally developed in the SJB,and their types include:superimposed unattached CMG systems,multilayer unified CMG systems,and superimposed mixed CMG systems.Furthermore,sedimentary controls on the vertical and regional distributions of different types of CMG systems are discussed according to the sedimentary facies of single wells and well cross-sections and the corresponding data of well log,gas logging,and gas contents.Shore shallow lake environments in the Fukang,Miquan,and northern Liuhuanggou areas were favourable for forming superimposed unattached CMG systems.Braided river environments in the Houxia and the southern Liuhuanggou areas usually formed multilayer unified CMG systems.Braided river delta environments in the Manasi,Hutubi,and eastern Sikeshu areas generally developed multilayer unified CMG systems and superimposed mixed CMG systems.For different types of superimposed CMG systems,the number of gas-bearing units,coal seam gas content,vertical hydraulic connectivity and lateral continuity vary considerably,which makes it necessary to tailor the CMG co-production plan to the type of CMG system.
基金supported by the National Natural Science Foundation of China(42272200)The Science and Technology Major Project of China National Petroleum Corporation(2023ZZ18-03)+1 种基金The Science and Technology Major Project of Changqing Oilfeld(2023DZZ01)The Technology project of Huaneng Group Headquarters(Medium-deep Low-Rank Coalbed Methane Resource Potential Evaluation and Key Development Technologies of Zhalainuoer Coalfeld,HNKJ23-H51).
文摘Currently,regression prediction methods based on logging data is one of the main methods for analyzing gas content of coal seams.However,the complexity of logging parameters for deep coal seams and the scarcity of measured gas content data signifcantly afects the accuracy and generalizability of data regression models.Accurately predicting the gas content of coal seams under small-sample condition become a difcult point in deep coalbed methane(CBM)exploration.The ModelAgnostic Meta-Learning(MAML)and Support Vector Regression(SVR)algorithms are among the few suitable for smallsample learning,exhibiting strong adaptability under limited sample conditions.In this study,logging parameters are used as input variables to construct MAML and SVR models,and their performance in predicting gas content of deep coal seams across diferent regions and layers is compared.The results demonstrate that the MAML algorithm efectively addresses the complex relationships between gas content of deep coal seam and logging parameters.The prediction errors for test dataset and new samples are merely 3.61%and 4.52%respectively,indicating exceptional adaptability,robust generalization capability,and stable model performance.In contrast,the dependency of SVR model on input parameters restricts its accuracy and generalizability in predicting gas content in deep coal seams with varying geological conditions.Although achieving a test dataset error of 4.71%,the SVR model demonstrates substantially degraded performance when applied to novel samples,with prediction errors escalating to 12.46%.Therefore,the MAML model is selected to predict gas content in the unknown areas of the Baijiahai region.The prediction results reveal that the gas content of coal seams in the Xishanyao formation(J2x)ranges from 1.32 m^(3)/t to 16.11 m^(3)/t,while that in the Badaowan Formation(J1b)varies between 1.73 m^(3)/t and 11.27 m^(3)/t.Notably,the gas enrichment areas are predominantly distributed in well blocks adjacent to fault systems,such as wells C31 and BJ8,etc.,which align with the favorable geological conditions for deep CBM accumulation in the Baijiahai region.These spatial distribution patterns not only corroborate existing geological insights but also further validate the reliability of the MAML model in predicting gas content within deep coal seams.
基金primarily supported by the Innovative Clinical Technique of Guangzhou(2024P-GX02)funded by the Science and Technology Program of Guangzhou,China(Grant IDs:2024A03J00515)supplemented by the Lumitin Vision to Brightness Research Funding for Young and Middle-aged Ophthalmologists(Grant ID:BCF-KH-YK-20230803-03)。
文摘Macular hemorrhage(MH)is one of the most severe complications of high myopia,posing a significant threat to vision.MH can occur with or without choroidal neovascularization(CNV),with the CNV-associated form being the most prevalent.CNV-related MH may develop secondary to conditions such as pathological myopia,and punctate inner choroidopathy.Conversely,MH without CNV is often linked to factors like lacquer cracks,trauma,ocular surgery.While the exact mechanisms of CNV in high myopia are still not fully understood,anti-VEGF injections have been shown to be effective in improving visual function in patients with CNV.This review summarizes the clinical characteristics of various causes of MH and their respective treatments,providing valuable insights to help clinicians make informed diagnostic and therapeutic decisions.
基金supported by Beijing Natural Science Foundation of China(L254044,L244061,L244062,L234075)National Natural Sci-ence Foundation of China(82472565,82302828,32401140,32271414)+3 种基金Plastic Medicine Research Fund of Chinese Academy of Medical Sciences(2024-ZX-1-02,2024-ZX-1-03)National High Level Hospital Clinical Research Funding(2025-PUMCH-D-001,2022-PUMCH-C-025,2022-PUMCH-B-041,2022-PUMCH-A-025,2022-PUMCH-A-210)National Key R&D Program of China(2024YFC3405800,2024YFC3405801)Peking Union Medical Col-lege Hospital Talent Cultivation Program(Category C)No.UBJ11557.
文摘Diabetic wounds are characterized by chronic inflammation,vascular insufficiency,and peripheral neuropathy,which collectively disrupt the neurovascular microenvironment essential for coordinated tissue regeneration.However,strategies targeting neurovascular regeneration remain limited.Here,we developed a sprayable hydrogel sponge based on gelatin methacryloyl and methacrylamide-modifiedε-poly-L-lysine(S-GPL),cofunctionalized with VEGF-mimetic peptide(KLT)and BDNF-mimetic peptide(RGI).The sprayable format con-forms to irregular wound geometries,while the pneumatic spraying technique generates high-pressure micro-bubbles that create a porous structure,thereby enhancing exudate absorption and sustained peptide release as a sponge dressing.Additionally,the incorporation of KLT and RGI facilitates the reconstruction of the neuro-vascular microenvironment.In vitro,KLT promoted endothelial cell maturation and cytokine secretion,whereas RGI enhanced Schwann cell activity.Notably,S-GPL^(KLT/RGI) facilitated intercellular interactions between RSCs and HUVECs,highlighting the cellular mechanisms underlying neurovascular communication.In a full-thickness diabetic wound model in rats,the hydrogel accelerated wound closure,re-epithelialization,and matrix remodeling.These effects were accompanied by enhanced neovascularization and axonal regeneration,along with the formation of a spatially organized neurovascular niche,as evidenced by CD31^(+)capillaries closely aligned with PGP9.5^(+)nerve fibers.Building upon the intrinsic anti-inflammatory properties of S-GPL,tran-scriptomic and immunohistochemical analyses further revealed that S-GPL^(KLT/RGI) treatment suppressed the IL-17 signaling pathway.However,the relationship between immunomodulation and neurovascular reconstruction warrants further investigation.Collectively,this study presents a sprayable antibacterial hydrogel that not only reconstructs the neurovascular microenvironment but also mitigates chronic inflammation,offering a clinically translatable strategy for diabetic wound management.
基金supported by the National Natural Science Foundation of China(Grant No.42130802)PetroChina Company Limited“14th Five Year Plan”Science and Technology Major Project(No.2021DJ2301).
文摘An improved evaluation method for estimating gas content during the inversion process of deep-burial coal was established based on the on-site natural desorption curves.The accuracy of the US Bureau of Mines(USBM),Polynomial fitting,Amoco,and the improved evaluation methods in the predicting of lost gas volume in deep seams in the Mabidong Block of the Qinshui Basin were then compared.Furthermore,the calculation errors of these different methods in simulating lost gas content based on coring time were compared.A newly established nonlinear equation was developed to estimate the minimum error value,by controlling the lost time within 16 min,the related errors can be reduced.The improved evaluation was shown to accurately and rapidly predict the gas content in deep seams.The results show that the deep coal bed methane accumulation is influenced by various factors,including geological structure,hydrodynamic conditions,roof lithology,and coalification.Reverse faults and weak groundwater runoff can hinder the escape of methane,and these factors should be considered in the future exploration and development of coalbed methane.
