The Middle Permian Lucaogou Formation is the source rock and the main oil shale producing formation in the southeastern Junggar Basin.This study focused on the Lucaogou Formation exposed in two outcrop sections on the...The Middle Permian Lucaogou Formation is the source rock and the main oil shale producing formation in the southeastern Junggar Basin.This study focused on the Lucaogou Formation exposed in two outcrop sections on the northern flank of the Bogda Mountain,namely the Jingjingzigou and Dalongkou sections.Here,we present integrated analysis of the sedimentology,major and trace elements,mineral components and total organic carbon contents.The paleo-environment was reconstructed including provenance,redox conditions,paleo-salinity,chemical weathering intensity and primary organic matter productivity.The results showed that the upper and lower units were deposited in distinct depositional environments with different organic matter accumulation mechanisms.The lower unit was characterized by low lake level,dry climate,fresh-brackish and well-oxygenated water.While during the deposition of the upper unit the lake level rose,climate turned wetter and the bottom water became less oxidized and much saltier.The mechanism of the organic matter accumulation is different for these two units.The preserved organic matters were mainly controlled by the primary productivity in the lower unit and by the redox conditions in the upper unit.展开更多
The landscape of financial transactions has grown increasingly complex due to the expansion of global economic integration and advancements in information technology.This complexity poses greater challenges in detecti...The landscape of financial transactions has grown increasingly complex due to the expansion of global economic integration and advancements in information technology.This complexity poses greater challenges in detecting and managing financial fraud.This review explores the role of Graph Neural Networks(GNNs)in addressing these challenges by proposing a unified framework that categorizes existing GNN methodologies applied to financial fraud detection.Specifically,by examining a series of detailed research questions,this review delves into the suitability of GNNs for financial fraud detection,their deployment in real-world scenarios,and the design considerations that enhance their effectiveness.This review reveals that GNNs are exceptionally adept at capturing complex relational patterns and dynamics within financial networks,significantly outperforming traditional fraud detection methods.Unlike previous surveys that often overlook the specific potentials of GNNs or address them only superficially,our review provides a comprehensive,structured analysis,distinctly focusing on the multifaceted applications and deployments of GNNs in financial fraud detection.This review not only highlights the potential of GNNs to improve fraud detection mechanisms but also identifies current gaps and outlines future research directions to enhance their deployment in financial systems.Through a structured review of over 100 studies,this review paper contributes to the understanding of GNN applications in financial fraud detection,offering insights into their adaptability and potential integration strategies.展开更多
The incorporation of pro-osteogenic growth factors into bone graft materials to enhance bone regeneration is a key research area within the field of bone tissue engineering and regenerative medicine.However,growth fac...The incorporation of pro-osteogenic growth factors into bone graft materials to enhance bone regeneration is a key research area within the field of bone tissue engineering and regenerative medicine.However,growth factors directly incorporated in protein form are easily degraded,and have a limited active half-life,which cannot exert long-term and stable osteoinductive and oteoconductive effects.The combination of gene therapy and tissue engineering through gene-activated matrix(GAM)may provide a good alternative solution to overcome such limitations.Scaffold materials can be combined together with plasmid DNA and a chemical-based transfection agent to form GAM,through which transfected cells could secrete growth factors in a sustained manner over a longer time duration;thereby enabling bone graft materials to act as a repository of therapeutic genes,while providing structural support and a scaffold matrix for new bone tissue ingrowth.In this study,we prepared hydroxyapatite/chitosan-microspheres(HA/CS-MS)with microfabrication technology and emulsification method,and loaded the polyethylene imine/bone morphogenetic protein 2 plasmid(PEI/pBMP2)complexes with high transfection capacity(transfection efficiency up to 54.79%±4.95%),thus forming a novel GAM system with superior bone regeneration capacity—PEI/pBMP2-HA/CS-MS.The in vitro experiments in this study demonstrated that our GAM had excellent biocompatibility(with cell viability over 95%),and that the as-fabricated microsphere material possessed a nano-network fibrous structure similar to natural extracellular matrix(ECM),together with a higher surface area that can provide more cell adhesion sites.The sizes of the prepared microspheres were mainly distributed in the 160–180μm range,while the maximal loading rate of PEI-pBMP2 complexes was 59.79%±1.85%.As a loaded complexes system,the GAM can release plasmids in a slow controlled manner,effectively transfecting surrounding target cells(release effect for up to 21 days),while cells adherent to the material can also take up plasmids,resulting in sustained secretion of the target protein,thereby effectively promoting bone regeneration.In vivo data from micro-computed tomography(micro-CT)and histological staining showed that the use of the composite materials effectively enhanced bone regeneration in defect areas.These findings thus demonstrated that the novel GAM system had excellent osteoinductivity with significant clinical potential.展开更多
Retrieval-Augmented Generation(RAG)enhances the generative capacity of Large Language Models(LLMs)by appending retrieved documents to the current context.This approach has shown success in reading comprehension[1]and ...Retrieval-Augmented Generation(RAG)enhances the generative capacity of Large Language Models(LLMs)by appending retrieved documents to the current context.This approach has shown success in reading comprehension[1]and language modeling[2].RAG assumes the intent is in the input query,which can be expanded with a task description.However,in the financial domain,queries often span multiple sectors,challenging the ability of retrieval phase to adequately inform the generation phase.展开更多
基金financially supported by the Petro China Science and Technology Major Project(Nos.2016B-0302 and 2019B-0302)。
文摘The Middle Permian Lucaogou Formation is the source rock and the main oil shale producing formation in the southeastern Junggar Basin.This study focused on the Lucaogou Formation exposed in two outcrop sections on the northern flank of the Bogda Mountain,namely the Jingjingzigou and Dalongkou sections.Here,we present integrated analysis of the sedimentology,major and trace elements,mineral components and total organic carbon contents.The paleo-environment was reconstructed including provenance,redox conditions,paleo-salinity,chemical weathering intensity and primary organic matter productivity.The results showed that the upper and lower units were deposited in distinct depositional environments with different organic matter accumulation mechanisms.The lower unit was characterized by low lake level,dry climate,fresh-brackish and well-oxygenated water.While during the deposition of the upper unit the lake level rose,climate turned wetter and the bottom water became less oxidized and much saltier.The mechanism of the organic matter accumulation is different for these two units.The preserved organic matters were mainly controlled by the primary productivity in the lower unit and by the redox conditions in the upper unit.
基金supported by the National Key R&D Program of China(No.2022YFB4501704)the National Natural Science Foundation of China(Grant No.62102287)the Shanghai Science and Technology Innovation Action Plan Project(Nos.22YS1400600 and 22511100700).
文摘The landscape of financial transactions has grown increasingly complex due to the expansion of global economic integration and advancements in information technology.This complexity poses greater challenges in detecting and managing financial fraud.This review explores the role of Graph Neural Networks(GNNs)in addressing these challenges by proposing a unified framework that categorizes existing GNN methodologies applied to financial fraud detection.Specifically,by examining a series of detailed research questions,this review delves into the suitability of GNNs for financial fraud detection,their deployment in real-world scenarios,and the design considerations that enhance their effectiveness.This review reveals that GNNs are exceptionally adept at capturing complex relational patterns and dynamics within financial networks,significantly outperforming traditional fraud detection methods.Unlike previous surveys that often overlook the specific potentials of GNNs or address them only superficially,our review provides a comprehensive,structured analysis,distinctly focusing on the multifaceted applications and deployments of GNNs in financial fraud detection.This review not only highlights the potential of GNNs to improve fraud detection mechanisms but also identifies current gaps and outlines future research directions to enhance their deployment in financial systems.Through a structured review of over 100 studies,this review paper contributes to the understanding of GNN applications in financial fraud detection,offering insights into their adaptability and potential integration strategies.
基金supported by the National Natural Science Foundation of China(No.51973004)the Natural Science Foundation of Anhui Province,China(No.1908085MH255).
文摘The incorporation of pro-osteogenic growth factors into bone graft materials to enhance bone regeneration is a key research area within the field of bone tissue engineering and regenerative medicine.However,growth factors directly incorporated in protein form are easily degraded,and have a limited active half-life,which cannot exert long-term and stable osteoinductive and oteoconductive effects.The combination of gene therapy and tissue engineering through gene-activated matrix(GAM)may provide a good alternative solution to overcome such limitations.Scaffold materials can be combined together with plasmid DNA and a chemical-based transfection agent to form GAM,through which transfected cells could secrete growth factors in a sustained manner over a longer time duration;thereby enabling bone graft materials to act as a repository of therapeutic genes,while providing structural support and a scaffold matrix for new bone tissue ingrowth.In this study,we prepared hydroxyapatite/chitosan-microspheres(HA/CS-MS)with microfabrication technology and emulsification method,and loaded the polyethylene imine/bone morphogenetic protein 2 plasmid(PEI/pBMP2)complexes with high transfection capacity(transfection efficiency up to 54.79%±4.95%),thus forming a novel GAM system with superior bone regeneration capacity—PEI/pBMP2-HA/CS-MS.The in vitro experiments in this study demonstrated that our GAM had excellent biocompatibility(with cell viability over 95%),and that the as-fabricated microsphere material possessed a nano-network fibrous structure similar to natural extracellular matrix(ECM),together with a higher surface area that can provide more cell adhesion sites.The sizes of the prepared microspheres were mainly distributed in the 160–180μm range,while the maximal loading rate of PEI-pBMP2 complexes was 59.79%±1.85%.As a loaded complexes system,the GAM can release plasmids in a slow controlled manner,effectively transfecting surrounding target cells(release effect for up to 21 days),while cells adherent to the material can also take up plasmids,resulting in sustained secretion of the target protein,thereby effectively promoting bone regeneration.In vivo data from micro-computed tomography(micro-CT)and histological staining showed that the use of the composite materials effectively enhanced bone regeneration in defect areas.These findings thus demonstrated that the novel GAM system had excellent osteoinductivity with significant clinical potential.
基金The work was supported by the National Key R&D Program of China(2022YFB4501704)the Shanghai Science and Technology InnovationAction PlanProject(22YS1400600 and 22511100700)。
文摘Retrieval-Augmented Generation(RAG)enhances the generative capacity of Large Language Models(LLMs)by appending retrieved documents to the current context.This approach has shown success in reading comprehension[1]and language modeling[2].RAG assumes the intent is in the input query,which can be expanded with a task description.However,in the financial domain,queries often span multiple sectors,challenging the ability of retrieval phase to adequately inform the generation phase.
