The weight loss of cement slurry is the main cause of early annular air channeling and accurate experimental evaluation of the law of loss change is the key to achieve compression stability and prevent this undesired ...The weight loss of cement slurry is the main cause of early annular air channeling and accurate experimental evaluation of the law of loss change is the key to achieve compression stability and prevent this undesired phenomenon.Typically,tests on the pressure loss of cement slurry are carried out for temperature smaller than 120°C,and this condition cannot simulate effectively the situation occurring in high temperature wells.For this reason,in this study a series of experimental tests have been conducted considering a larger range of temperatures,different retarders and fluid loss additives.The results show that with an increase in the temperature,the weight loss curve of cement slurry changes from a“two-stage”to a“three-stage”behavior,and the risk of channeling increases accordingly.On increasing the amount of retarder and fluid loss additive,the transition time of cement slurry displays a non-monotonic behavior(it decreases first and then increases).It is found that the optimized retarder and fluid loss additive dosage are 0.2%and 2.5%,respectively.展开更多
Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anato...Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast.The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project(CHPP).Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP.The brain imaging sequences included T1-magnetization that prepared rapid gradient echo,T2 fuid-attenuated inversion-recovery,magnetic resonance angiography,difusion MRI,and resting-state functional MRI.The detailed descriptions of image acquisition,interpretation,and post-processing were provided in this article.The measured IDPs included volumes of brain subregions,cerebral vessel geometrical parameters,microstructural tracts,and function connectivity metrics.展开更多
Graph theory has emerged as a valuable tool in liver research,aiding in the assessment of complex interactions underlying liver diseases at different organizational levels.This has allowed significant advancements in ...Graph theory has emerged as a valuable tool in liver research,aiding in the assessment of complex interactions underlying liver diseases at different organizational levels.This has allowed significant advancements in the detection,treatment,and control of liver disorders.Particularly,graph theory is useful in identifying different liver diseases.Graph theory can be used to analyze liver networks and identify altered nodes and edges,which may serve as potential noninvasive biomarkers for disease detection.Furthermore,graph-based techniques,including graph neural networks and graph knowledge,have been employed to construct interaction networks,providing insights into the communication involved in focal liver diseases and related conditions such as coronavirus disease 2019(COVID-19),hepatic muscular atrophy,and hepatic necrosis.Functional networks for the liver have also been developed with graphbased methods,providing insights into the metabolic processes occurring in the liver and the functional organization of the liver.Graph theory is also useful for image analysis,with applications such as image segmentation,registration,synthesis,and object identification.By representing images as graphs,it is possible to analyze and process them with graphbased algorithms,handling complex relationships among pixels and making them useful in boundary extraction and texture analysis.Overall,graph theory is an essential research tool for liver research,providing valuable insights into the complex interactions underlying liver diseases as well as innovative approaches for diagnosis and treatment.展开更多
基金The authors gratefully acknowledge the research project from“Research and test on optimization of calculation model for cementing engineering of high temperature and high pressure wells”(Grant No.CQCJ-2020-06).
文摘The weight loss of cement slurry is the main cause of early annular air channeling and accurate experimental evaluation of the law of loss change is the key to achieve compression stability and prevent this undesired phenomenon.Typically,tests on the pressure loss of cement slurry are carried out for temperature smaller than 120°C,and this condition cannot simulate effectively the situation occurring in high temperature wells.For this reason,in this study a series of experimental tests have been conducted considering a larger range of temperatures,different retarders and fluid loss additives.The results show that with an increase in the temperature,the weight loss curve of cement slurry changes from a“two-stage”to a“three-stage”behavior,and the risk of channeling increases accordingly.On increasing the amount of retarder and fluid loss additive,the transition time of cement slurry displays a non-monotonic behavior(it decreases first and then increases).It is found that the optimized retarder and fluid loss additive dosage are 0.2%and 2.5%,respectively.
基金the Shanghai Municipal Science and Technology Major Project(No.2017SHZDZX01).
文摘Imaging-derived phenotypes(IDPs)have been increasingly used in population-based cohort studies in recent years.As widely reported,magnetic resonance imaging(MRI)is an important imaging modality for assessing the anatomical structure and function of the brain with high resolution and excellent soft-tissue contrast.The purpose of this article was to describe the imaging protocol of the brain MRI in the China Phenobank Project(CHPP).Each participant underwent a 30-min brain MRI scan as part of a 2-h whole-body imaging protocol in CHPP.The brain imaging sequences included T1-magnetization that prepared rapid gradient echo,T2 fuid-attenuated inversion-recovery,magnetic resonance angiography,difusion MRI,and resting-state functional MRI.The detailed descriptions of image acquisition,interpretation,and post-processing were provided in this article.The measured IDPs included volumes of brain subregions,cerebral vessel geometrical parameters,microstructural tracts,and function connectivity metrics.
基金Shanghai Municipal Science and Technology Major Project,Grant/Award Number:2023SHZD2X02A05Shanghai Rising-Star Program,Grant/Award Number:24QA2703300。
文摘Graph theory has emerged as a valuable tool in liver research,aiding in the assessment of complex interactions underlying liver diseases at different organizational levels.This has allowed significant advancements in the detection,treatment,and control of liver disorders.Particularly,graph theory is useful in identifying different liver diseases.Graph theory can be used to analyze liver networks and identify altered nodes and edges,which may serve as potential noninvasive biomarkers for disease detection.Furthermore,graph-based techniques,including graph neural networks and graph knowledge,have been employed to construct interaction networks,providing insights into the communication involved in focal liver diseases and related conditions such as coronavirus disease 2019(COVID-19),hepatic muscular atrophy,and hepatic necrosis.Functional networks for the liver have also been developed with graphbased methods,providing insights into the metabolic processes occurring in the liver and the functional organization of the liver.Graph theory is also useful for image analysis,with applications such as image segmentation,registration,synthesis,and object identification.By representing images as graphs,it is possible to analyze and process them with graphbased algorithms,handling complex relationships among pixels and making them useful in boundary extraction and texture analysis.Overall,graph theory is an essential research tool for liver research,providing valuable insights into the complex interactions underlying liver diseases as well as innovative approaches for diagnosis and treatment.
