Two cotton research institute(CRI)near-isogenic lines,CRI-12 glanded and CRI-12 glandless,were used to pinpoint potential genes and metabolic pathways linked to gossypol biosynthesis through transcriptome sequencing.W...Two cotton research institute(CRI)near-isogenic lines,CRI-12 glanded and CRI-12 glandless,were used to pinpoint potential genes and metabolic pathways linked to gossypol biosynthesis through transcriptome sequencing.We discovered more than 235 million clean reads and 1,184 differentially expressed genes(DEGs).Consecutively,we conducted a weighted gene co-expression network analysis and found a strong correlation between white and yellow modules containing GhTPS(GH_D09G0090)and GhCYP(GH_D05G2016)hub genes with the gossypol content.Importance of the GhTPS and GhCYP genes was demonstrated using RT-qPCR,virusinduced gene silencing(VIGS),and target metabolite analysis.Silencing these genes resulted in fewer glands on both leaves and stems two weeks after the infection compared to the wild type.In addition,152 metabolites were identified through targeted metabolite profiling.Differential metabolite screening revealed 12 and 18 significantly different metabolites in TRV:GhTPS and TRV:GhCYP plants vs.the control group,respectively,showing a reduction in the accumulation of metabolites compared to the control.Content of hemigossypol,the final product of gossypol biosynthesis,was also reduced,as revealed by target metabolite analysis,suggesting the role of these genes in the gossypol biosynthetic pathway.Furthermore,a highly significant difference in gossypol content between the glanded and glandless lines was recorded.Findings of this study reveal a strong link between the gossypol content and GhTPS and GhCYP hub genes,suggesting their role in the gossypol biosynthetic pathway to reduce the accumulation of hemigossypol,which may offer new comprehension into the regulatory checkpoints of the gossypol biosynthesis pathway in cotton.展开更多
为促进学生深度学习,提升物理化学课程教学质量,以表面化学中“弯曲表面的附加压力和蒸气压”的教学为例,从学生实际出发,应用DOK(Depth of Knowledg,知识深度)理论划分教学内容等级,设计不同课堂活动和小组任务,从力和能量两个角度深...为促进学生深度学习,提升物理化学课程教学质量,以表面化学中“弯曲表面的附加压力和蒸气压”的教学为例,从学生实际出发,应用DOK(Depth of Knowledg,知识深度)理论划分教学内容等级,设计不同课堂活动和小组任务,从力和能量两个角度深化逻辑主线,体现学科融合,培养高阶思维。对于教学难点Kelvin方程,以表现性任务体现生活和生产中的实际应用,激发兴趣。以小组讨论话题层层递进,从力对于化学势的影响出发,将Kelvin方程从单组分系统推广到多组分溶液和多组分化学反应系统,体现热力学的多元应用,意义建构。通过课前SPOC(Small Private Online Course,小规模在线课程)任务清单,课上雨课堂翻转讨论,课后公众号展示拓展,开展混合式教学。经过教学实践,结合问卷调查和学生产出,发现基于深度学习的DOK教学,不仅能帮助学生发展各项高阶能力,而且学习主动性和实践创新能力都得到有效提高。展开更多
Existing sandstone rock structure evaluation methods rely on visual inspection,with low efficiency,semi-quantitative analysis of roundness,and inability to perform classified statistics in particle size analysis.This ...Existing sandstone rock structure evaluation methods rely on visual inspection,with low efficiency,semi-quantitative analysis of roundness,and inability to perform classified statistics in particle size analysis.This study presents an intelligent evaluation method for sandstone rock structure based on the Segment Anything Model(SAM).By developing a lightweight SAM fine-tuning method with rank-decomposition matrix adapters,a multispectral rock particle segmentation model named CoreSAM is constructed,which achieves rock particle edge extraction and type identification.Building upon this,we propose a comprehensive quantitative evaluation system for rock structure,assessing parameters including particle size,sorting,roundness,particle contact and cementation types.The experimental results demonstrate that CoreSAM outperforms existing methods in rock particle segmentation accuracy while showing excellent generalization across different image types such as CT scans and core photographs.The proposed method enables full-sample,classified particle size analysis and quantitative characterization of parameters like roundness,advancing reservoir evaluation towards more precise,quantitative,intuitive,and comprehensive development.展开更多
Aiming to provide optimal solutions to the sluggish kinetics of Mg(BH_(4))_(2),this study proposes,for the first time,a novel machine learning model to predict dehydrogenation behaviors of modified Mg(BH_(4))_(2).Nota...Aiming to provide optimal solutions to the sluggish kinetics of Mg(BH_(4))_(2),this study proposes,for the first time,a novel machine learning model to predict dehydrogenation behaviors of modified Mg(BH_(4))_(2).Notably,numerous data points are collected from temperatureprogrammed,isothermal,and cyclic dehydrogenation behaviors,a neural network model is proposed by using multi-head attention mechanisms,which exhibits the highest predictive performance compared to traditional machine learning models.The study also ranks different variables influencing dehydrogenation processes,employing interpretable analysis to identify critical variable thresholds,offering guidance for the experimental parameter design.The model can also be adapted to scenarios involving co-doping of hydrides and catalysts in Mg(BH_(4))_(2) system and proved high accuracy and scalability in predicting dehydrogenation curves under diverse conditions.Employing the model,performance predictions for a series of undeveloped Mg(BH_(4))_(2) co-doping systems can be made,and superior dehydrogenation catalytic effects of fluorinated graphite(FGi)are uncovered.Real-world experimental validation of the optimal Mg(BH_(4))_(2)-LiBH_(4)-FGi system confirms consistency with model predictions,and performance enhancement attributes to experimental parameter optimization.Further characterizations provide mechanistic insights into the synergistic interactions of FGi and LiBH_(4).This work paves the way for advancing utilization of machine learning in the high-capacity hydrogen storage field.展开更多
Despite the promising potential of organic nanoscintillator-mediated radiodynamic therapy(RDT)in enhancing the effectiveness of immunotherapy,their cutaneous phototoxicity exacerbates the risk for immune-related adver...Despite the promising potential of organic nanoscintillator-mediated radiodynamic therapy(RDT)in enhancing the effectiveness of immunotherapy,their cutaneous phototoxicity exacerbates the risk for immune-related adverse events(irAEs).Herein,we demonstrate that organic nanoscintillators,when combined with checkpoint blockade immunotherapy and exposed to X-ray-induced RDT,can trigger cutaneous irAEs.To address this challenge,we engineered diselenide-bridged silicon coatings on organic nanoscintillators,fine-tuning the steric hindrance of the protective layer by varying its thickness.This strategy enables radiation-triggered reactive oxygen species(ROS)generation while mitigating off-target phototoxicity through neutralizing ROS.By optimizing the steric hindrance to precisely control energy transfer between the organic nanoscintillators and surrounding oxygen molecules,we effectively reduce phototoxicity and mitigate off-tumor effects through engineered surface protection.Under X-ray irradiation exposure,the steric hindrance is rapidly deactivated through the dissociation of the silicon coating,activating RDT and inducing abundant ROS generation within tumor cells.In an orthotopic 4T1 breast cancer model,intravenous administration of these surface-engineered nanoscintillators,combined with anti-programmed death-1(anti-PD-1)antibodies,results in robust anti-tumor immune responses,while minimizing cutaneous irAEs.This work offers valuable insights into how surface engineering can modulate the delicate balance between anti-tumor efficacy and off-tumor toxicity in nanoscintillator-mediated RDT.展开更多
In recent years, the effective conversion of organic wastes into valuable products has been a focus and difficulty in sustainable energy and environmental management. Organic wastes come from a wide range of sources, ...In recent years, the effective conversion of organic wastes into valuable products has been a focus and difficulty in sustainable energy and environmental management. Organic wastes come from a wide range of sources, and industrial and agricultural sources are the main sources of organic waste in China, which can be controlled by microwave pyrolysis technology. In microwave pyrolysis treatment, catalysts have been the key material, microwave absorber, and catalyst of the research hotspot in recent years. This paper summarises the typical influencing parameters of microwave pyrolysis (including microwave power, pyrolysis temperature and microwave absorber), and also summarises the various catalysts applied in microwave pyrolysis, and looks forward to the potential application prospect of pyrolysis products, and the future development direction.展开更多
A two-dimensional(2-D)multi-component and multi-phase cellular automaton(CA)model coupled with the Calphad method and finite difference method(FDM)is proposed to simulate the gas pore formation and microstructures in ...A two-dimensional(2-D)multi-component and multi-phase cellular automaton(CA)model coupled with the Calphad method and finite difference method(FDM)is proposed to simulate the gas pore formation and microstructures in solidification process of hypoeutectic Al-Si-Mg alloys.In this model,the pore growth,and dendritic and eutectic solidification are simulated using a CA technique.To achieve the equilibrium among multiple phases during ternary Al-based alloy solidification,the phase transition thermodynamics and kinetics are evaluated by adopting the Calphad method.The diffusion equations of hydrogen and two solutes are solved by FDM.The developed CA-FDM coupled model can be used for simulating the evolution of gas microporosity and microstructures,involving dendrites and irregular binary and ternary eutectics,of ternary hypoeutectic Al-Si-Mg alloys.It has the capability of reproducing the interactions between the hydrogen microporosity formation and the growth of dendrites and eutectics,the competitive growth among the growing gas pores of different sizes,together with the time-evolving concentration fields of hydrogen and solutes.The simulated morphology of gas pore and microstructure has a good agreement with the experimental observation.The influences of the initial hydrogen concentration and cooling rate on the microporosity formation are investigated.It is found that the main portion of porosity formation occurs in the eutectic solidification stage through analyzing the profiles of porosity percentage and solid fraction varying with solidification time.The varying features of simulated porosity percentage,the maximum and average pores radii indicate that increasing initial hydrogen concentration promotes the formation of higher final porosity percentage and larger pores,while the size of gas pores will significantly reduce with increasing cooling rate,leading to a lower final porosity percentage.展开更多
基金financial help from the National Key R&D Program of China(2021YFE0101200)the Key Research and Development Project of Jiangsu Province,China(Modern Agriculture,BE2022364)+1 种基金the State Key Laboratory of Cotton Bio-breeding and Integrated Utilization Open Fund,China(CB2024A06)support of the Ministry of Science,Technological Development and Innovation of the Republic of Serbia(451-03-66/2024-03/200007)。
文摘Two cotton research institute(CRI)near-isogenic lines,CRI-12 glanded and CRI-12 glandless,were used to pinpoint potential genes and metabolic pathways linked to gossypol biosynthesis through transcriptome sequencing.We discovered more than 235 million clean reads and 1,184 differentially expressed genes(DEGs).Consecutively,we conducted a weighted gene co-expression network analysis and found a strong correlation between white and yellow modules containing GhTPS(GH_D09G0090)and GhCYP(GH_D05G2016)hub genes with the gossypol content.Importance of the GhTPS and GhCYP genes was demonstrated using RT-qPCR,virusinduced gene silencing(VIGS),and target metabolite analysis.Silencing these genes resulted in fewer glands on both leaves and stems two weeks after the infection compared to the wild type.In addition,152 metabolites were identified through targeted metabolite profiling.Differential metabolite screening revealed 12 and 18 significantly different metabolites in TRV:GhTPS and TRV:GhCYP plants vs.the control group,respectively,showing a reduction in the accumulation of metabolites compared to the control.Content of hemigossypol,the final product of gossypol biosynthesis,was also reduced,as revealed by target metabolite analysis,suggesting the role of these genes in the gossypol biosynthetic pathway.Furthermore,a highly significant difference in gossypol content between the glanded and glandless lines was recorded.Findings of this study reveal a strong link between the gossypol content and GhTPS and GhCYP hub genes,suggesting their role in the gossypol biosynthetic pathway to reduce the accumulation of hemigossypol,which may offer new comprehension into the regulatory checkpoints of the gossypol biosynthesis pathway in cotton.
基金Supported by the National Natural Science Foundation of China(42372175,72088101)PetroChina Science and Technology Project of(2023DJ84)Basic Research Cooperation Project between China National Petroleum Corporation and Peking University.
文摘Existing sandstone rock structure evaluation methods rely on visual inspection,with low efficiency,semi-quantitative analysis of roundness,and inability to perform classified statistics in particle size analysis.This study presents an intelligent evaluation method for sandstone rock structure based on the Segment Anything Model(SAM).By developing a lightweight SAM fine-tuning method with rank-decomposition matrix adapters,a multispectral rock particle segmentation model named CoreSAM is constructed,which achieves rock particle edge extraction and type identification.Building upon this,we propose a comprehensive quantitative evaluation system for rock structure,assessing parameters including particle size,sorting,roundness,particle contact and cementation types.The experimental results demonstrate that CoreSAM outperforms existing methods in rock particle segmentation accuracy while showing excellent generalization across different image types such as CT scans and core photographs.The proposed method enables full-sample,classified particle size analysis and quantitative characterization of parameters like roundness,advancing reservoir evaluation towards more precise,quantitative,intuitive,and comprehensive development.
基金the National Natural Science Foundation of China(No.52171223 and U20A20237).
文摘Aiming to provide optimal solutions to the sluggish kinetics of Mg(BH_(4))_(2),this study proposes,for the first time,a novel machine learning model to predict dehydrogenation behaviors of modified Mg(BH_(4))_(2).Notably,numerous data points are collected from temperatureprogrammed,isothermal,and cyclic dehydrogenation behaviors,a neural network model is proposed by using multi-head attention mechanisms,which exhibits the highest predictive performance compared to traditional machine learning models.The study also ranks different variables influencing dehydrogenation processes,employing interpretable analysis to identify critical variable thresholds,offering guidance for the experimental parameter design.The model can also be adapted to scenarios involving co-doping of hydrides and catalysts in Mg(BH_(4))_(2) system and proved high accuracy and scalability in predicting dehydrogenation curves under diverse conditions.Employing the model,performance predictions for a series of undeveloped Mg(BH_(4))_(2) co-doping systems can be made,and superior dehydrogenation catalytic effects of fluorinated graphite(FGi)are uncovered.Real-world experimental validation of the optimal Mg(BH_(4))_(2)-LiBH_(4)-FGi system confirms consistency with model predictions,and performance enhancement attributes to experimental parameter optimization.Further characterizations provide mechanistic insights into the synergistic interactions of FGi and LiBH_(4).This work paves the way for advancing utilization of machine learning in the high-capacity hydrogen storage field.
基金supported by the Science and Technology Program of Guangzhou(No.2023A03J0218)。
文摘Despite the promising potential of organic nanoscintillator-mediated radiodynamic therapy(RDT)in enhancing the effectiveness of immunotherapy,their cutaneous phototoxicity exacerbates the risk for immune-related adverse events(irAEs).Herein,we demonstrate that organic nanoscintillators,when combined with checkpoint blockade immunotherapy and exposed to X-ray-induced RDT,can trigger cutaneous irAEs.To address this challenge,we engineered diselenide-bridged silicon coatings on organic nanoscintillators,fine-tuning the steric hindrance of the protective layer by varying its thickness.This strategy enables radiation-triggered reactive oxygen species(ROS)generation while mitigating off-target phototoxicity through neutralizing ROS.By optimizing the steric hindrance to precisely control energy transfer between the organic nanoscintillators and surrounding oxygen molecules,we effectively reduce phototoxicity and mitigate off-tumor effects through engineered surface protection.Under X-ray irradiation exposure,the steric hindrance is rapidly deactivated through the dissociation of the silicon coating,activating RDT and inducing abundant ROS generation within tumor cells.In an orthotopic 4T1 breast cancer model,intravenous administration of these surface-engineered nanoscintillators,combined with anti-programmed death-1(anti-PD-1)antibodies,results in robust anti-tumor immune responses,while minimizing cutaneous irAEs.This work offers valuable insights into how surface engineering can modulate the delicate balance between anti-tumor efficacy and off-tumor toxicity in nanoscintillator-mediated RDT.
文摘In recent years, the effective conversion of organic wastes into valuable products has been a focus and difficulty in sustainable energy and environmental management. Organic wastes come from a wide range of sources, and industrial and agricultural sources are the main sources of organic waste in China, which can be controlled by microwave pyrolysis technology. In microwave pyrolysis treatment, catalysts have been the key material, microwave absorber, and catalyst of the research hotspot in recent years. This paper summarises the typical influencing parameters of microwave pyrolysis (including microwave power, pyrolysis temperature and microwave absorber), and also summarises the various catalysts applied in microwave pyrolysis, and looks forward to the potential application prospect of pyrolysis products, and the future development direction.
基金the National Natural Science Foundation of China(No.51371051)Jiangsu Key Laboratory of Advanced Metallic Materials(No.BM2007204)。
文摘A two-dimensional(2-D)multi-component and multi-phase cellular automaton(CA)model coupled with the Calphad method and finite difference method(FDM)is proposed to simulate the gas pore formation and microstructures in solidification process of hypoeutectic Al-Si-Mg alloys.In this model,the pore growth,and dendritic and eutectic solidification are simulated using a CA technique.To achieve the equilibrium among multiple phases during ternary Al-based alloy solidification,the phase transition thermodynamics and kinetics are evaluated by adopting the Calphad method.The diffusion equations of hydrogen and two solutes are solved by FDM.The developed CA-FDM coupled model can be used for simulating the evolution of gas microporosity and microstructures,involving dendrites and irregular binary and ternary eutectics,of ternary hypoeutectic Al-Si-Mg alloys.It has the capability of reproducing the interactions between the hydrogen microporosity formation and the growth of dendrites and eutectics,the competitive growth among the growing gas pores of different sizes,together with the time-evolving concentration fields of hydrogen and solutes.The simulated morphology of gas pore and microstructure has a good agreement with the experimental observation.The influences of the initial hydrogen concentration and cooling rate on the microporosity formation are investigated.It is found that the main portion of porosity formation occurs in the eutectic solidification stage through analyzing the profiles of porosity percentage and solid fraction varying with solidification time.The varying features of simulated porosity percentage,the maximum and average pores radii indicate that increasing initial hydrogen concentration promotes the formation of higher final porosity percentage and larger pores,while the size of gas pores will significantly reduce with increasing cooling rate,leading to a lower final porosity percentage.
