BACKGROUND Continuous glucose monitoring(CGM)metrics,such as time in range(TIR)and glycemic risk index(GRI),have been linked to various diabetes-related complications,including diabetic foot(DF).AIM To investigate the...BACKGROUND Continuous glucose monitoring(CGM)metrics,such as time in range(TIR)and glycemic risk index(GRI),have been linked to various diabetes-related complications,including diabetic foot(DF).AIM To investigate the association between CGM-derived indicators and the risk of DF in individuals with type 2 diabetes mellitus(T2DM).METHODS A total of 591 individuals with T2DM(297 with DF and 294 without DF)were enrolled.Relevant clinical data,complications,comorbidities,hematological parameters,and 72-hour CGM data were collected.Logistic regression analysis was employed to examine the relationship between these measurements and the risk of DF.RESULTS Individuals with DF exhibited higher mean blood glucose(MBG)levels and increased proportions of time above range(TAR),TAR level 1,and TAR level 2,but lower TIR(all P<0.001).Patients with DF had significantly lower rates of achieving target ranges for TIR,TAR,and TAR level 2 than those without DF(all P<0.05).Logistic regression analysis revealed that GRI,MBG,and TAR level 1 were positively associated with DF risk,while TIR was inversely correlated(all P<0.05).Achieving TIR and TAR was inversely correlated with white blood cell count and glycated hemoglobin A1c levels(P<0.05).Additionally,achieving TAR was influenced by fasting plasma glucose,body mass index,diabetes duration,and antidiabetic medication use.CONCLUSION CGM metrics,particularly TIR and GRI,are significantly associated with the risk of DF in T2DM,emphasizing the importance of improved glucose control.展开更多
This study critically analyzes the findings of Geng et al,which investigated the association between continuous glucose monitoring(CGM)metrics and the risk of diabetic foot(DF)in individuals with type 2 diabetes melli...This study critically analyzes the findings of Geng et al,which investigated the association between continuous glucose monitoring(CGM)metrics and the risk of diabetic foot(DF)in individuals with type 2 diabetes mellitus.The study de-monstrated significant associations between lower time in range,higher glycemic risk index,mean blood glucose,and time above range and an increased risk of DF.While acknowledging the study's strengths,such as its large sample size and robust statistical methods,this analysis also highlights its limitations,including its cross-sectional design and reliance on self-reported data.The findings are dis-cussed within the framework of established theories,including the concepts of metabolic memory,the glucocentric paradigm,and the role of inflammation.This analysis emphasizes that a comprehensive approach to glucose management,extending beyond traditional glycated hemoglobin A1c measurements,is crucial for DF risk mitigation.Recognizing the impact of poor adherence and ongoing inflammation,future research should prioritize exploring causal mechanisms,the effectiveness of interventions aimed at improving CGM metrics,and the specific contributions of glucose variability to DF development.In conclusion,these findings strongly support the clinical application of diverse CGM metrics to enhance patient outcomes and effectively manage the risk of DF.展开更多
The increasing demand for unconventional oil and gas resources,especially oil shale,has highlighted the urgent need to develop rapid and accurate strata characterization methods.This paper is the first case and examin...The increasing demand for unconventional oil and gas resources,especially oil shale,has highlighted the urgent need to develop rapid and accurate strata characterization methods.This paper is the first case and examines the drilling process monitoring(DPM)method as a digital,accurate,cost-effective method to characterize oil shale reservoirs in the Ordos Basin,China.The digital DPM method provides real-time in situ testing of the relative variation in rock mechanical strength along the drill bit depth.Furthermore,it can give a refined rock quality designation based on the DPM zoning result(RQD(V_(DPM)))and a strength-grade characterization at the site.Oil shale has high heterogeneity and low strata strength.The digital results are further compared and verified with manual logging,cored samples,and digital panoramic borehole cameras.The findings highlight the innovative potential of the DPM method in identifying the zones of oil shale reservoir along the drill bit depth.The digital results provide a better understanding of the oil shale in Tongchuan and the potential for future oil shale exploration in other regions.展开更多
目前,多核实时系统中同步任务的节能调度研究主要针对的是同构多核处理器平台,而异构多核处理器架构能够更有效地发挥系统性能。将现有的研究直接应用于异构多核系统,在保证可调度性的情况下会导致能耗变高。对此,通过使用动态电压与频...目前,多核实时系统中同步任务的节能调度研究主要针对的是同构多核处理器平台,而异构多核处理器架构能够更有效地发挥系统性能。将现有的研究直接应用于异构多核系统,在保证可调度性的情况下会导致能耗变高。对此,通过使用动态电压与频率调节(Dynamic Voltage Frequency Scaling,DVFS)技术,研究异构多核实时系统中基于任务同步的节能调度问题,提出同步感知的最大能耗节省优先算法(Synchronization Aware-Largest Energy Saved First,SA-LESF)。该算法针对所有任务的速度配置进行迭代优化,直至所有任务均达到其最大限度节能的速度配置。此外,进一步提出基于动态松弛时间回收的同步感知最大能耗节省优先算法(Synchronization Aware-Largest Energy Saved First with Dynamic Reclamation,SA-LESF-DR)。该算法在保证实时任务可调度的同时,实施相应的回收策略,进一步降低系统能耗。实验结果表明,SA-LESF与SA-LESF-DR算法在能耗表现上具有优势,在相同任务集下,相比其他算法可节省高达30%的能耗。展开更多
Based on the system of electric power supply for flexible manufacturing systems (FMS), a study has been carried out on the intelligent safety examination, monitoring and maintenance of its running environment. On the ...Based on the system of electric power supply for flexible manufacturing systems (FMS), a study has been carried out on the intelligent safety examination, monitoring and maintenance of its running environment. On the basis of the specific feature of the power supply network of an FMS, real time monitoring system of the power supply network and the fault diagnostic expert system for the power equipment have been designed. This system can diagnose not only definite fault phenomena, but also fuzzy, uncertain fault phenomena as well. Fault diagnostic knowledge base for the power equipment has been founded hierarchy architecture model and the method of fault tree analysis. Feasibility of this system has been proved by computer simulation.展开更多
猫疱疹病毒I型(FHV-1)是威胁猫科动物健康的重要传染性疾病,本研究旨在研发一种灵敏、高效的FHV-1检测技术。依据GenBank上FHV-1 US6保守区域的基因序列,设计合成1对针对FHV-1 gD基因的引物,建立了一种SYBR Green I荧光定量PCR的检测方...猫疱疹病毒I型(FHV-1)是威胁猫科动物健康的重要传染性疾病,本研究旨在研发一种灵敏、高效的FHV-1检测技术。依据GenBank上FHV-1 US6保守区域的基因序列,设计合成1对针对FHV-1 gD基因的引物,建立了一种SYBR Green I荧光定量PCR的检测方法,构建标准曲线后分别验证该方法的特异性、敏感性、重复性,并将其进一步应用于人工感染猫产生的临床样本检测。结果:该特异性引物与猫杯状病毒(FCV)、猫细小病毒(FPV)和猫冠状病毒(FCoV)均未出现交叉反应,检测下限为14.78 copies/μL,组内和组间重复试验的变异系数均低于2%;该方法对临床样本的检出率比常规PCR高出25.46%;通过该方法检测人工感染FHV-1强毒后猫的每日排毒量,结果呈现上升趋势,与临床发病程度相符,猫的脏器病毒载量存在个体差异,但集中在心脏、肺脏、肠道和膀胱中检出。综上,该研究建立的SYBR Green I荧光定量PCR方法对FHV-1具有较好的特异性、灵敏度和重复性,为FHV-1感染的快速诊断以及疾病的防控提供方法支持。展开更多
基金Supported by Yunnan Province Academician(Expert)Workstation Project,No.202305AF150097the Basic Research Program of Yunnan Province(Kunming Medical University Joint Special Project),No.202101AY070001-276+3 种基金the National Natural Science Foundation of China,No.82160159the Key Project Program of Yunnan Province(Kunming Medical University Joint Special Project),No.202301AY070001-013the Major Science and Technology Project of Yunnan Province,No.202202AA100004the Double First-class University Construction Project of Yunnan University,No.CY22624106.
文摘BACKGROUND Continuous glucose monitoring(CGM)metrics,such as time in range(TIR)and glycemic risk index(GRI),have been linked to various diabetes-related complications,including diabetic foot(DF).AIM To investigate the association between CGM-derived indicators and the risk of DF in individuals with type 2 diabetes mellitus(T2DM).METHODS A total of 591 individuals with T2DM(297 with DF and 294 without DF)were enrolled.Relevant clinical data,complications,comorbidities,hematological parameters,and 72-hour CGM data were collected.Logistic regression analysis was employed to examine the relationship between these measurements and the risk of DF.RESULTS Individuals with DF exhibited higher mean blood glucose(MBG)levels and increased proportions of time above range(TAR),TAR level 1,and TAR level 2,but lower TIR(all P<0.001).Patients with DF had significantly lower rates of achieving target ranges for TIR,TAR,and TAR level 2 than those without DF(all P<0.05).Logistic regression analysis revealed that GRI,MBG,and TAR level 1 were positively associated with DF risk,while TIR was inversely correlated(all P<0.05).Achieving TIR and TAR was inversely correlated with white blood cell count and glycated hemoglobin A1c levels(P<0.05).Additionally,achieving TAR was influenced by fasting plasma glucose,body mass index,diabetes duration,and antidiabetic medication use.CONCLUSION CGM metrics,particularly TIR and GRI,are significantly associated with the risk of DF in T2DM,emphasizing the importance of improved glucose control.
基金Supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education,No.NRF-RS-2023-00237287。
文摘This study critically analyzes the findings of Geng et al,which investigated the association between continuous glucose monitoring(CGM)metrics and the risk of diabetic foot(DF)in individuals with type 2 diabetes mellitus.The study de-monstrated significant associations between lower time in range,higher glycemic risk index,mean blood glucose,and time above range and an increased risk of DF.While acknowledging the study's strengths,such as its large sample size and robust statistical methods,this analysis also highlights its limitations,including its cross-sectional design and reliance on self-reported data.The findings are dis-cussed within the framework of established theories,including the concepts of metabolic memory,the glucocentric paradigm,and the role of inflammation.This analysis emphasizes that a comprehensive approach to glucose management,extending beyond traditional glycated hemoglobin A1c measurements,is crucial for DF risk mitigation.Recognizing the impact of poor adherence and ongoing inflammation,future research should prioritize exploring causal mechanisms,the effectiveness of interventions aimed at improving CGM metrics,and the specific contributions of glucose variability to DF development.In conclusion,these findings strongly support the clinical application of diverse CGM metrics to enhance patient outcomes and effectively manage the risk of DF.
基金supported by grants from the Research Grant Council of the Hong Kong Special Administrative Region,China(Grant No.HKU 7137/03E)the National Natural Science Foundation of China(Grant No.41977248)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB10030100).
文摘The increasing demand for unconventional oil and gas resources,especially oil shale,has highlighted the urgent need to develop rapid and accurate strata characterization methods.This paper is the first case and examines the drilling process monitoring(DPM)method as a digital,accurate,cost-effective method to characterize oil shale reservoirs in the Ordos Basin,China.The digital DPM method provides real-time in situ testing of the relative variation in rock mechanical strength along the drill bit depth.Furthermore,it can give a refined rock quality designation based on the DPM zoning result(RQD(V_(DPM)))and a strength-grade characterization at the site.Oil shale has high heterogeneity and low strata strength.The digital results are further compared and verified with manual logging,cored samples,and digital panoramic borehole cameras.The findings highlight the innovative potential of the DPM method in identifying the zones of oil shale reservoir along the drill bit depth.The digital results provide a better understanding of the oil shale in Tongchuan and the potential for future oil shale exploration in other regions.
文摘目前,多核实时系统中同步任务的节能调度研究主要针对的是同构多核处理器平台,而异构多核处理器架构能够更有效地发挥系统性能。将现有的研究直接应用于异构多核系统,在保证可调度性的情况下会导致能耗变高。对此,通过使用动态电压与频率调节(Dynamic Voltage Frequency Scaling,DVFS)技术,研究异构多核实时系统中基于任务同步的节能调度问题,提出同步感知的最大能耗节省优先算法(Synchronization Aware-Largest Energy Saved First,SA-LESF)。该算法针对所有任务的速度配置进行迭代优化,直至所有任务均达到其最大限度节能的速度配置。此外,进一步提出基于动态松弛时间回收的同步感知最大能耗节省优先算法(Synchronization Aware-Largest Energy Saved First with Dynamic Reclamation,SA-LESF-DR)。该算法在保证实时任务可调度的同时,实施相应的回收策略,进一步降低系统能耗。实验结果表明,SA-LESF与SA-LESF-DR算法在能耗表现上具有优势,在相同任务集下,相比其他算法可节省高达30%的能耗。
文摘Based on the system of electric power supply for flexible manufacturing systems (FMS), a study has been carried out on the intelligent safety examination, monitoring and maintenance of its running environment. On the basis of the specific feature of the power supply network of an FMS, real time monitoring system of the power supply network and the fault diagnostic expert system for the power equipment have been designed. This system can diagnose not only definite fault phenomena, but also fuzzy, uncertain fault phenomena as well. Fault diagnostic knowledge base for the power equipment has been founded hierarchy architecture model and the method of fault tree analysis. Feasibility of this system has been proved by computer simulation.
文摘猫疱疹病毒I型(FHV-1)是威胁猫科动物健康的重要传染性疾病,本研究旨在研发一种灵敏、高效的FHV-1检测技术。依据GenBank上FHV-1 US6保守区域的基因序列,设计合成1对针对FHV-1 gD基因的引物,建立了一种SYBR Green I荧光定量PCR的检测方法,构建标准曲线后分别验证该方法的特异性、敏感性、重复性,并将其进一步应用于人工感染猫产生的临床样本检测。结果:该特异性引物与猫杯状病毒(FCV)、猫细小病毒(FPV)和猫冠状病毒(FCoV)均未出现交叉反应,检测下限为14.78 copies/μL,组内和组间重复试验的变异系数均低于2%;该方法对临床样本的检出率比常规PCR高出25.46%;通过该方法检测人工感染FHV-1强毒后猫的每日排毒量,结果呈现上升趋势,与临床发病程度相符,猫的脏器病毒载量存在个体差异,但集中在心脏、肺脏、肠道和膀胱中检出。综上,该研究建立的SYBR Green I荧光定量PCR方法对FHV-1具有较好的特异性、灵敏度和重复性,为FHV-1感染的快速诊断以及疾病的防控提供方法支持。
