Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is propose...Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is proposed for power quality evaluation.The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated.Combining with the characteristics of each power quality evaluation index,the target center of the whole grey target system is found.Then,the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to construct the power quality grey correlation difference information space.Finally,the target center coefficient and target degree of power quality are calculated to realize the comprehensive evaluation of power quality,and the evaluation grade of power quality monitoring data to be evaluated is obtained.Compared with the evaluation results of the existing literature,the effectiveness of the proposed method is verified,which shows that grey target theory is reasonable in the comprehensive evaluation of power quality.展开更多
A space-based bistatic radar system composed of two space-based radars as the transmitter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and ...A space-based bistatic radar system composed of two space-based radars as the transmitter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and it can detect focused space targets more flexibly than the monostatic radar system or the ground-based radar system.However,the target echo signal is more difficult to process due to the high-speed motion of both space-based radars and space targets.To be specific,it will encounter the problems of Range Cell Migration(RCM)and Doppler Frequency Migration(DFM),which degrade the long-time coherent integration performance for target detection and localization inevitably.To solve this problem,a novel target detection method based on an improved Gram Schmidt(GS)-orthogonalization Orthogonal Matching Pursuit(OMP)algorithm is proposed in this paper.First,the echo model for bistatic space-based radar is constructed and the conditions for RCM and DFM are analyzed.Then,the proposed GS-orthogonalization OMP method is applied to estimate the equivalent motion parameters of space targets.Thereafter,the RCM and DFM are corrected by the compensation function correlated with the estimated motion parameters.Finally,coherent integration can be achieved by performing the Fast Fourier Transform(FFT)operation along the slow time direction on compensated echo signal.Numerical simulations and real raw data results validate that the proposed GS-orthogonalization OMP algorithm achieves better motion parameter estimation performance and higher detection probability for space targets detection.展开更多
The purpose of this article is to analyze the efficacy of molecular diagnostic techniques for monitoring tuberculosis relapse.After analyzing the connotation of molecular diagnostic techniques and their specific appli...The purpose of this article is to analyze the efficacy of molecular diagnostic techniques for monitoring tuberculosis relapse.After analyzing the connotation of molecular diagnostic techniques and their specific application process in tuberculosis relapse monitoring,a total of 200 cured tuberculosis patients were selected(100 in the experimental group and 100 in the control group).During the 12-month follow-up period,the experimental group was monitored by molecular diagnostic techniques,while the control group was monitored by traditional techniques.Finally,by comparing the performance indicators of the two monitoring methods,as well as the relapse situations and outcomes of patients,it was demonstrated that molecular diagnostic techniques have higher efficacy in tuberculosis relapse monitoring.展开更多
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
Hepatocellular carcinoma(HCC)-related mortality is high because early detection modalities are hampered by inaccuracy,expense and inherent procedural risks.Thus there is an urgent need for minimally invasive,highly sp...Hepatocellular carcinoma(HCC)-related mortality is high because early detection modalities are hampered by inaccuracy,expense and inherent procedural risks.Thus there is an urgent need for minimally invasive,highly specific and sensitive biomarkers that enable earlydisease detection when therapeutic intervention remains practical. Successful therapeutic intervention is predicated on the ability to detect the cancer early. Similar unmet medical needs abound in most fields of medicine and require novel methodological approaches. Proteomic profiling of body fluids presents a sensitive diagnostic tool for early cancer detection. Here we describe such a strategy of comparative proteomics to identify potential serum-based biomarkers to distinguish high-risk chronic hepatitis C virus infected patients from HCC patients. In order to compensate for the extraordinary dynamic range in serum proteins,enrichment methods that compress the dynamic range without surrendering proteome complexity can help minimize the problems associated with many depletion methods. The enriched serum can be resolved using 2D-difference in-gel electrophoresis and the spots showing statistically significant changes selected for identification by liquid chromatographytandem mass spectrometry. Subsequent quantitative verification and validation of these candidate biomarkers represent an obligatory and rate-limiting process that is greatly enabled by selected reaction monitoring(SRM). SRM is a tandem mass spectrometry method suitable for identification and quantitation of target peptides within complex mixtures independent on peptidespecific antibodies. Ultimately,multiplexed SRM and dynamic multiple reaction monitoring can be utilized for the simultaneous analysis of a biomarker panel derived from support vector machine learning approaches,which allows monitoring a specific disease state such as early HCC. Overall,this approach yields high probability biomarkers for clinical validation in large patient cohorts and represents a strategy extensible to many diseases.展开更多
BACKGROUND Crohn’s disease(CD)can affect the entire gastrointestinal tract.Proximal small bowel(SB)lesions are associated with a significant risk of stricturing disease and multiple abdominal surgeries.The assessment...BACKGROUND Crohn’s disease(CD)can affect the entire gastrointestinal tract.Proximal small bowel(SB)lesions are associated with a significant risk of stricturing disease and multiple abdominal surgeries.The assessment of SB in patients with CD is therefore necessary because it may have a significant impact on prognosis with potential therapeutic implications.Because of the weak correlation that exists between symptoms and endoscopic disease activity,the“treat-to-target”paradigm has been developed,and the associated treatment goal is to achieve and maintain deep remission,encompassing both clinical and endoscopic remission.Small bowel capsule endoscopy(SBCE)allows to visualize the mucosal surface of the entire SB.At that time,there is no recommendation regarding the use of SBCE during follow-up.AIM To investigate the impact of SBCE in a treat-to-target strategy in patients with CD.METHODS An electronic literature search was conducted in PubMed and Cochrane library using the following search terms:“capsule endoscopy”,in combination with“Crohn’s disease”and“treat-to-target”or synonyms.Two authors independently reviewed titles and abstracts identified by the search strategy after duplicates were removed.Following the initial screening of abstracts,all articles containing information about SBCE in the context of treat-to-target strategy in patients with CD were included.Full-text articles were retrieved,reference lists were screened manually to identify additional studies.RESULTS Forty-seven articles were included in this review.Two indexes are currently used to quantify disease activity using SBCE,and there is good correlation between them.SBCE was shown to be useful for disease reclassification in patients who are suspected of having or who are diagnosed with CD,with a significant incremental diagnostic yield compared to other diagnostic modalities.Nine studies also demonstrated that the mucosal healing can be evaluated by SBCE to monitor the effect of medical treatment in patients with CD.This review also demonstrated that SBCE can detect post-operative recurrence to a similar extent as ileocolonoscopy,and proximal SB lesions that are beyond the reach of the colonoscope in over half of the patients.CONCLUSION SBCE could be incorporated in the treat-to-target algorithm for patients with CD.Randomized controlled trials are required to confirm its usefulness and reliability in this indication.展开更多
在现代畜牧业中,生猪的呼吸心率是评估其健康状态的关键指标之一。因此,开发一种非接触式、高精度的多目标生命体征监测技术对于推动畜牧业的现代化发展具有重要意义。毫米波雷达技术通过发射线性调频连续波(Linear frequency modulated...在现代畜牧业中,生猪的呼吸心率是评估其健康状态的关键指标之一。因此,开发一种非接触式、高精度的多目标生命体征监测技术对于推动畜牧业的现代化发展具有重要意义。毫米波雷达技术通过发射线性调频连续波(Linear frequency modulated continuous wave,LFMCW),能够实现极高的脉冲压缩比,从而显著提升雷达的距离分辨率和目标检测能力。针对现有方法在多目标呼吸心率同步监测能力上的不足,本文提出一种联合机器视觉与毫米波感知的多生猪目标呼吸心率同步监测方法。通过YOLO v8算法识别图像中的生猪目标,有效去除非生猪目标振动源,为毫米波雷达提供先验条件,进而通过LFMCW的相量均值相消算法和二维傅里叶变换方法进行静态目标去除和多目标回波解耦,提取回波信号后,通过带通滤波、短时傅里叶变换、周期性评估指标等方法提取目标呼吸心跳时频图并计算呼吸心率。为了验证该方法的有效性,在养殖场实际场景下进行多次实验,结果表明,该方法对生猪呼吸频率测量的平均相对误差为4.57%,心跳频率平均相对误差为9.26%,同步监测准确率较高且对环境中非目标振动源信号具有一定抗干扰能力。展开更多
为保障桥区通航安全,提出一种视觉与船舶自动识别系统(Automatic Identification System,AIS)融合的船舶自动监测方法。基于YOLOv5(You Only Look Once version 5)目标检测算法和Canny算法提取船舶图像轮廓信息,构建桥区水域目标距离、...为保障桥区通航安全,提出一种视觉与船舶自动识别系统(Automatic Identification System,AIS)融合的船舶自动监测方法。基于YOLOv5(You Only Look Once version 5)目标检测算法和Canny算法提取船舶图像轮廓信息,构建桥区水域目标距离、方位和高度视觉测量模型与方法,实现船舶三维定位。利用融合视觉与AIS的船舶航行态势数据建立异常行为检测模型,自动识别、监测桥区水域危险船舶。试验结果表明:在单、多船的情况下视觉与AIS数据关联准确率分别达到98.45%、91.29%;能有效监测桥区船舶的运动状态。本研究可为保障船舶和桥梁的安全提供有效方法。展开更多
文摘Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is proposed for power quality evaluation.The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated.Combining with the characteristics of each power quality evaluation index,the target center of the whole grey target system is found.Then,the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to construct the power quality grey correlation difference information space.Finally,the target center coefficient and target degree of power quality are calculated to realize the comprehensive evaluation of power quality,and the evaluation grade of power quality monitoring data to be evaluated is obtained.Compared with the evaluation results of the existing literature,the effectiveness of the proposed method is verified,which shows that grey target theory is reasonable in the comprehensive evaluation of power quality.
文摘A space-based bistatic radar system composed of two space-based radars as the transmitter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and it can detect focused space targets more flexibly than the monostatic radar system or the ground-based radar system.However,the target echo signal is more difficult to process due to the high-speed motion of both space-based radars and space targets.To be specific,it will encounter the problems of Range Cell Migration(RCM)and Doppler Frequency Migration(DFM),which degrade the long-time coherent integration performance for target detection and localization inevitably.To solve this problem,a novel target detection method based on an improved Gram Schmidt(GS)-orthogonalization Orthogonal Matching Pursuit(OMP)algorithm is proposed in this paper.First,the echo model for bistatic space-based radar is constructed and the conditions for RCM and DFM are analyzed.Then,the proposed GS-orthogonalization OMP method is applied to estimate the equivalent motion parameters of space targets.Thereafter,the RCM and DFM are corrected by the compensation function correlated with the estimated motion parameters.Finally,coherent integration can be achieved by performing the Fast Fourier Transform(FFT)operation along the slow time direction on compensated echo signal.Numerical simulations and real raw data results validate that the proposed GS-orthogonalization OMP algorithm achieves better motion parameter estimation performance and higher detection probability for space targets detection.
文摘The purpose of this article is to analyze the efficacy of molecular diagnostic techniques for monitoring tuberculosis relapse.After analyzing the connotation of molecular diagnostic techniques and their specific application process in tuberculosis relapse monitoring,a total of 200 cured tuberculosis patients were selected(100 in the experimental group and 100 in the control group).During the 12-month follow-up period,the experimental group was monitored by molecular diagnostic techniques,while the control group was monitored by traditional techniques.Finally,by comparing the performance indicators of the two monitoring methods,as well as the relapse situations and outcomes of patients,it was demonstrated that molecular diagnostic techniques have higher efficacy in tuberculosis relapse monitoring.
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.
文摘Hepatocellular carcinoma(HCC)-related mortality is high because early detection modalities are hampered by inaccuracy,expense and inherent procedural risks.Thus there is an urgent need for minimally invasive,highly specific and sensitive biomarkers that enable earlydisease detection when therapeutic intervention remains practical. Successful therapeutic intervention is predicated on the ability to detect the cancer early. Similar unmet medical needs abound in most fields of medicine and require novel methodological approaches. Proteomic profiling of body fluids presents a sensitive diagnostic tool for early cancer detection. Here we describe such a strategy of comparative proteomics to identify potential serum-based biomarkers to distinguish high-risk chronic hepatitis C virus infected patients from HCC patients. In order to compensate for the extraordinary dynamic range in serum proteins,enrichment methods that compress the dynamic range without surrendering proteome complexity can help minimize the problems associated with many depletion methods. The enriched serum can be resolved using 2D-difference in-gel electrophoresis and the spots showing statistically significant changes selected for identification by liquid chromatographytandem mass spectrometry. Subsequent quantitative verification and validation of these candidate biomarkers represent an obligatory and rate-limiting process that is greatly enabled by selected reaction monitoring(SRM). SRM is a tandem mass spectrometry method suitable for identification and quantitation of target peptides within complex mixtures independent on peptidespecific antibodies. Ultimately,multiplexed SRM and dynamic multiple reaction monitoring can be utilized for the simultaneous analysis of a biomarker panel derived from support vector machine learning approaches,which allows monitoring a specific disease state such as early HCC. Overall,this approach yields high probability biomarkers for clinical validation in large patient cohorts and represents a strategy extensible to many diseases.
文摘BACKGROUND Crohn’s disease(CD)can affect the entire gastrointestinal tract.Proximal small bowel(SB)lesions are associated with a significant risk of stricturing disease and multiple abdominal surgeries.The assessment of SB in patients with CD is therefore necessary because it may have a significant impact on prognosis with potential therapeutic implications.Because of the weak correlation that exists between symptoms and endoscopic disease activity,the“treat-to-target”paradigm has been developed,and the associated treatment goal is to achieve and maintain deep remission,encompassing both clinical and endoscopic remission.Small bowel capsule endoscopy(SBCE)allows to visualize the mucosal surface of the entire SB.At that time,there is no recommendation regarding the use of SBCE during follow-up.AIM To investigate the impact of SBCE in a treat-to-target strategy in patients with CD.METHODS An electronic literature search was conducted in PubMed and Cochrane library using the following search terms:“capsule endoscopy”,in combination with“Crohn’s disease”and“treat-to-target”or synonyms.Two authors independently reviewed titles and abstracts identified by the search strategy after duplicates were removed.Following the initial screening of abstracts,all articles containing information about SBCE in the context of treat-to-target strategy in patients with CD were included.Full-text articles were retrieved,reference lists were screened manually to identify additional studies.RESULTS Forty-seven articles were included in this review.Two indexes are currently used to quantify disease activity using SBCE,and there is good correlation between them.SBCE was shown to be useful for disease reclassification in patients who are suspected of having or who are diagnosed with CD,with a significant incremental diagnostic yield compared to other diagnostic modalities.Nine studies also demonstrated that the mucosal healing can be evaluated by SBCE to monitor the effect of medical treatment in patients with CD.This review also demonstrated that SBCE can detect post-operative recurrence to a similar extent as ileocolonoscopy,and proximal SB lesions that are beyond the reach of the colonoscope in over half of the patients.CONCLUSION SBCE could be incorporated in the treat-to-target algorithm for patients with CD.Randomized controlled trials are required to confirm its usefulness and reliability in this indication.
文摘为保障桥区通航安全,提出一种视觉与船舶自动识别系统(Automatic Identification System,AIS)融合的船舶自动监测方法。基于YOLOv5(You Only Look Once version 5)目标检测算法和Canny算法提取船舶图像轮廓信息,构建桥区水域目标距离、方位和高度视觉测量模型与方法,实现船舶三维定位。利用融合视觉与AIS的船舶航行态势数据建立异常行为检测模型,自动识别、监测桥区水域危险船舶。试验结果表明:在单、多船的情况下视觉与AIS数据关联准确率分别达到98.45%、91.29%;能有效监测桥区船舶的运动状态。本研究可为保障船舶和桥梁的安全提供有效方法。
