45 results on '"Yuancheng Zhao"'
Search Results
2. Estimated small dense low-density lipoprotein-cholesterol and the risk of kidney and cardiovascular outcomes in diabetic kidney disease
- Author
-
Qing Yang, Yutong Zou, Yanlin Lang, Jia Yang, Yucheng Wu, Xiang Xiao, Chunmei Qin, Yuancheng Zhao, and Fang Liu
- Subjects
Type 2 diabetes mellitus ,diabetic kidney disease ,risk factor ,small dense low-density lipoprotein-cholesterol ,cohort study ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Aims This study aimed to investigate the correlations between estimated small dense low-density lipoprotein-cholesterol (esd-LDL-c) and the development of end-stage kidney disease (ESKD), cardiovascular mortality, and all-cause mortality in individuals with diabetic kidney disease (DKD) or diabetes mellitus (DM) concomitant chronic kidney disease (CKD).Methods We analyzed the data from a biopsy-proven DKD cohort conducted at West China Hospital of Sichuan University between 2009 and 2021 (the DKD cohort) and participants with DM and CKD in the National Health and Nutrition Examination Survey (NHANES) 2011–2014 (the NHANES DM-CKD cohort). Cox regression analysis was also used to estimate associations between esd-LDL-c and the incidence of ESKD, cardiovascular mortality, and all-cause mortality.Results There were 175 ESKD events among 338 participants in the DKD cohort. Patients were divided into three groups based on esd-LDL-c tertiles (T1
- Published
- 2024
- Full Text
- View/download PDF
3. Central retinal artery occlusion without cherry-red spots
- Author
-
Wei Fan, Yanming Huang, Yuancheng Zhao, and Rongdi Yuan
- Subjects
Ophthalmology ,RE1-994 - Abstract
Abstract Background Cherry-red spots are a very important sign for the clinical diagnosis of central retinal artery occlusion (CRAO). We retrospectively summarized the clinical manifestations of CRAO and analysed the causes and characteristics of CRAO without cherry-red spots. In this study, we explored a diagnostic method for CRAO without cherry red spots. Methods Seventy patients (70 eyes) with CRAO were examined retrospectively. Corrected distance visual acuity, fundus photos, FA and OCT images were collected at the first outpatient visit. The causes of CRAO without cherry-red spots were analysed through fundus photos. The incidence of increased hyperreflectivity of the inner retina, central macular thickness (CMT) and arteriovenous transit time in patients with and without cherry-red spots were compared. Results Fundus examination showed posterior retinal whitening in 57 cases (81.43%) and cherry-red spots in 39 cases (55.71%). Thirty-one patients presented at the first outpatient visit without cherry-red spots. The reasons for the absence of cherry-red spots included leopard fundus (32.26%), retinal vein occlusion (25.81%), no obvious inner retinal coagulative necrosis (19.35%), ciliary retinal artery sparing (12.90%), high macular oedema (9.68%) and cherry-red spot enlargement (3.23%). OCT revealed increased hyperreflectivity of the inner retina in 67 CRAO patients (95.71%). All 3 patients without increased hyperreflectivity of the inner retina did not present with cherry-red spots at the first visit. The median CMT in patients without cherry-red spots was 166.00 μm, while the median MCT in patients with cherry-red spots was 180.00 μm; there was no significant difference between these two groups (P = 0.467). FA showed delayed arteriovenous transit time > 23 s in 20 patients (28.57%), > 15 s in 43 patients (61.43%) and no delay in 27 patients (30.77%). The median arteriovenous transit time in patients without cherry-red spots was 19.00 s, while it was 18.00 s in patients with cherry-red spots; there was no significant difference between these two groups (P = 0.727). Conclusions There are multiple factors that could cause the absence of cherry-red spots in CRAO. The use of OCT to observe increased hyperreflectivity of the inner retina is the most effective imaging method for the early diagnosis of CRAO without cherry-red spots.
- Published
- 2023
- Full Text
- View/download PDF
4. The association of plasma NT-proBNP level and progression of diabetic kidney disease
- Author
-
Yuancheng Zhao, Lijun Zhao, Yiting Wang, Junlin Zhang, Honghong Ren, Rui Zhang, Yucheng Wu, Yutong Zou, Nanwei Tong, and Fang Liu
- Subjects
NT-proBNP ,diabetic kidney disease ,type 2 diabetes mellitus ,end-stage kidney disease ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
AbstractAims Diabetic kidney disease (DKD) is the most common cause of end-stage kidney disease (ESKD). The identification of risk factors involved in the progression of DKD to ESKD is expected to result in early detection and appropriate intervention and improve prognosis. This study aimed to explore whether plasma N-terminal pro-B-type natriuretic peptide (NT-proBNP) was associated with kidney outcomes in patients with type 2 diabetes mellitus (T2DM) and biopsy-proven DKD.Methods Patients with biopsy-proven DKD who were followed up at West China Hospital over 12 months were enrolled. The kidney outcome was defined as progression to ESKD. The cutoff value of plasma NT-proBNP concentration was calculated by using receiver operating characteristic (ROC) curve analysis. The influence of NT-proBNP levels on kidney outcome in patients with DKD was assessed using Cox regression analysis.Results A total of 30 (24.5%) patients reached ESKD during a median follow-up of 24.1 months. The baseline serum NT-proBNP level had a significant correlation with baseline proteinuria, kidney function, glomerular lesions, interstitial fibrosis tubular atrophy (IFTA), and arteriolar hyalinosis. Multivariate Cox regression analysis indicated that increased NT-proBNP level was significantly associated with a higher risk of progression to ESKD (HR 6.43; 95% CI (1.65–25.10, p = 0.007), and each 1 SD increase in LG (NT-proBNP) was also associated with a higher risk (HR 2.43; 95% CI 1.94–5.29, p = 0.047) of an adverse kidney outcome after adjusting for confounding factors.Conclusions A higher level of plasma NT-proBNP predicts kidney prognosis in patients with biopsy-proven DKD. This warrants further investigation into the potential mechanisms.
- Published
- 2023
- Full Text
- View/download PDF
5. P1275: SAFETY AND EFFICACY OF HUMAN AMNIOTIC EPITHELIAL STEM CELLS EYE DROP IN OCULAR CHRONIC GRAFT-VERSUS-HOST DISEASE
- Author
-
Xianjing Cheng, Ruihao Huang, Wei Fan, Yuancheng Zhao, Shiqin Huang, Rongdi Yuan, Xiaoqi Wang, and XI Zhang
- Subjects
Diseases of the blood and blood-forming organs ,RC633-647.5 - Published
- 2023
- Full Text
- View/download PDF
6. Nomogram model predicts the risk of visual impairment in diabetic retinopathy: a retrospective study
- Author
-
Yuancheng Zhao, Rentao Yu, Chao Sun, Wei Fan, Huan Zou, Xiaofan Chen, Yanming Huang, and Rongdi Yuan
- Subjects
Nomogram ,Visual impairment ,Decision curve analysis ,Clinical impact curve ,Optical coherence tomography angiography ,Diabetic retinopathy ,Ophthalmology ,RE1-994 - Abstract
Abstract Background To develop a model for predicting the risk of visual impairment in diabetic retinopathy (DR) by a nomogram. Methods Patients with DR who underwent both optical coherence tomography angiography (OCTA) and fundus fluorescein angiography (FFA) were retrospectively enrolled. FFA was conducted for DR staging, swept-source optical coherence tomography (SS-OCT) of the macula and 3*3-mm blood flow imaging by OCTA to observe retinal structure and blood flow parameters. We defined a logarithm of the minimum angle of resolution visual acuity (LogMAR VA) ≥0.5 as visual impairment, and the characteristics correlated with VA were screened using binary logistic regression. The selected factors were then entered into a multivariate binary stepwise regression, and a nomogram was developed to predict visual impairment risk. Finally, the model was validated using the area under the receiver operating characteristic (ROC) curve (AUC), calibration plots, decision curve analysis (DCA), and clinical impact curve (CIC). Results A total of 29 parameters were included in the analysis, and 13 characteristics were used to develop a nomogram model. Finally, diabetic macular ischaemia (DMI) grading, disorganization of the retinal inner layers (DRIL), outer layer disruption, and the vessel density of choriocapillaris layer inferior (SubVD) were found to be statistically significant (P
- Published
- 2022
- Full Text
- View/download PDF
7. Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease
- Author
-
Yutong Zou, Lijun Zhao, Junlin Zhang, Yiting Wang, Yucheng Wu, Honghong Ren, Tingli Wang, Rui Zhang, Jiali Wang, Yuancheng Zhao, Chunmei Qin, Huan Xu, Lin Li, Zhonglin Chai, Mark E. Cooper, Nanwei Tong, and Fang Liu
- Subjects
Type 2 diabetes mellitus ,diabetic kidney disease ,end-stage renal disease ,risk prediction model ,machine learning ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Aims Diabetic kidney disease (DKD) is the most common cause of end-stage renal disease (ESRD) and is associated with increased morbidity and mortality in patients with diabetes. Identification of risk factors involved in the progression of DKD to ESRD is expected to result in early detection and appropriate intervention and improve prognosis. Therefore, this study aimed to establish a risk prediction model for ESRD resulting from DKD in patients with type 2 diabetes mellitus (T2DM).Methods Between January 2008 and July 2019, a total of 390 Chinese patients with T2DM and DKD confirmed by percutaneous renal biopsy were enrolled and followed up for at least 1 year. Four machine learning algorithms (gradient boosting machine, support vector machine, logistic regression, and random forest (RF)) were used to identify the critical clinical and pathological features and to build a risk prediction model for ESRD.Results There were 158 renal outcome events (ESRD) (40.51%) during the 3-year median follow up. The RF algorithm showed the best performance at predicting progression to ESRD, showing the highest AUC (0.90) and ACC (82.65%). The RF algorithm identified five major factors: Cystatin-C, serum albumin (sAlb), hemoglobin (Hb), 24-hour urine urinary total protein, and estimated glomerular filtration rate. A nomogram according to the aforementioned five predictive factors was constructed to predict the incidence of ESRD.Conclusion Machine learning algorithms can efficiently predict the incident ESRD in DKD participants. Compared with the previous models, the importance of sAlb and Hb were highlighted in the current model.HighlightsWhat is already known? Identification of risk factors for the progression of DKD to ESRD is expected to improve the prognosis by early detection and appropriate intervention.What this study has found? Machine learning algorithms were used to construct a risk prediction model of ESRD in patients with T2DM and DKD. The major predictive factors were found to be CysC, sAlb, Hb, eGFR, and UTP.What are the implications of the study? In contrast with the treatment of participants with early-phase T2DM with or without mild kidney damage, major emphasis should be placed on indicators of kidney function, nutrition, anemia, and proteinuria for participants with T2DM and advanced DKD to delay ESRD, rather than age, sex, and control of hypertension and glycemia.
- Published
- 2022
- Full Text
- View/download PDF
8. Metabolic phenotypes and risk of end-stage kidney disease in patients with type 2 diabetes
- Author
-
Lijun Zhao, Yutong Zou, Yucheng Wu, Linli Cai, Yuancheng Zhao, Yiting Wang, Xiang Xiao, Qing Yang, Jia Yang, Honghong Ren, Nanwei Tong, and Fang Liu
- Subjects
diabetic kidney disease ,type 2 diabetes ,metabolic phenotype ,end-stage kidney disease ,prognostic factor ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
BackgroundObesity often initiates or coexists with metabolic abnormalities. This study aimed to investigate the pathological characteristics and the independent or mutual relations of obesity and metabolic abnormalities with end-stage kidney disease (ESKD) in patients with type 2 diabetes (T2D) and associated diabetic kidney disease (DKD).MethodsA total of 495 Chinese patients with T2D and biopsy-confirmed DKD between 2003 and 2020 were enrolled in this retrospective study. The metabolic phenotypes were based on the body weight index (BMI)-based categories (obesity, BMI ≥ 25.0 kg/m2) and metabolic status (metabolically unhealthy status, ≥ 1 criterion National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III) excluding waist circumference and hyperglycemia) and were categorized into four types: metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO), and metabolically unhealthy obesity (MUO). The pathological findings were defined by the Renal Pathology Society classification. Cox proportional hazards models were used to estimate hazard ratios (HRs) for ESKD.ResultsThere are 56 (11.3%) MHNO patients, 28 (5.7%) MHO patients, 176 (35.6%) MUNO patients, and 235 (47.5%) MUO patients. The high prevalence of the Kimmelstiel–Wilson nodule and severe mesangial expansion were associated with obesity, whereas severe IFTA was related to metabolically unhealthy status. In the multivariate analysis, the adjusted HR (aHR) was 2.09 [95% confidence interval (CI) 0.99–4.88] in the MHO group, 2.16 (95% CI 1.20–3.88) in the MUNO group, and 2.31 (95% CI 1.27–4.20) in the MUO group compared with the MHNO group. Furthermore, the presence of obesity was insignificantly associated with ESKD compared with non-obese patients (aHR 1.22, 95% CI 0.88–1.68), while the metabolically unhealthy status was significantly associated with ESKD compared to the metabolically healthy status in the multivariate analysis (aHR 1.69, 95% CI 1.10–2.60).ConclusionObesity itself was insignificantly associated with ESKD; however, adding a metabolically unhealthy status to obesity increased the risk for progression to ESKD in T2D and biopsy-proven DKD.
- Published
- 2023
- Full Text
- View/download PDF
9. Intravitreal vascular endothelial growth factor inhibitors did not increase the risk of end-stage renal disease in patients with biopsy-proven diabetic kidney disease based on matched study
- Author
-
Xiang Xiao, Junlin Zhang, Shuming Ji, Yutong Zou, Yucheng Wu, Chunmei Qin, Jia Yang, Yuancheng Zhao, Qin Yang, and Fang Liu
- Subjects
aflibercept ,Bevacizumab ,ranibizumab ,diabetic kidney disease ,end-stage renal disease ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Purpose: This study aimed to investigate the effects of intravitreal (IVT) VEGFi on long-term renal outcomes in patients with biopsy-proven diabetic kidney disease (DKD).Patients and methods: Patients prescribed IVT VEGFi (VEGFi group) were enrolled from a retrospective cohort with biopsy-proven DKD, and those not prescribed VEGFi (non-VEGFi group) were enrolled by 1:3 propensity score matching, adjusted for clinical and pathological baseline indicators. The primary endpoint is defined as end-stage renal disease (ESRD) and the secondary endpoint is defined as all-cause mortality.Results: Compared with patients in non-VEGFi group, patients with VEGFi had a higher proportion of diabetic retinopathy (DR) (50.9% vs 100%, p < 0.001) before matching. Standardized mean difference (SMD) of age, DR, duration of diabetes, the proportion of hypertension, eGFR, initial proteinuria, serum albumin, hemoglobin, the proportion of RAAS inhibitor and interstitial fibrosis and tubular atrophy (IFTA) were >10%. After matching, there was no significant difference in clinical pathology between the two groups. Except for the proportion of hypertension, the SMD of other indicators was
- Published
- 2022
- Full Text
- View/download PDF
10. Association between serum uric acid and renal outcome in patients with biopsy-confirmed diabetic nephropathy
- Author
-
Yutong Zou, Lijun Zhao, Junlin Zhang, Yiting Wang, Yucheng Wu, Honghong Ren, Tingli Wang, Rui Zhang, Jiali Wang, Yuancheng Zhao, Chunmei Qin, Huan Xu, Lin Li, Zhonglin Chai, Mark E Cooper, Nanwei Tong, and Fang Liu
- Subjects
serum uric acid ,renal outcome ,type 2 diabetes mellitus ,diabetic nephropathy ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
Objective: To investigate the relationship between serum uric acid (SUA) level and renal outcome in patients with type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN). Methods: A total of 393 Chinese patients with T2DM and biopsy-proven DN and followed at least 1 year were enrolled in this study. Patients were stra tified by the quartiles of baseline level of SUA: Q1 group: 286.02 ± 46.66 μmol/L (n = 98); Q2 group: 358.23 ± 14.03 μmol/L (n = 99); Q3 group: 405.50 ± 14.59 μmol/L (n = 98) and Q4 group: 499.14 ± 56.97μmol/L (n = 98). Renal outcome was defined by progression to end-stage renal disease (ESRD). Kaplan–Meier survival analysis and Cox proportional hazards model were used to analyze the association between SUA quartiles and the renal outcomes. Results: During the median 3-year follow-up period, there were 173 ESRD outcome events (44.02%). No significant difference between SUA level and the risk of progression of DN (P = 0.747) was shown in the Kaplan–Meier survival analysis. In mul tivariable-adjusted model, hazard ratios for developing ESRD were 1.364 (0 .621–2.992; P = 0.439), 1.518 (0.768–3.002; P = 0.230) and 1.411 (0.706–2.821; P = 0.330) for the Q2, Q3 and Q4, respectively, in comparison with the Q1 (P = 0.652). Conclusions: No significant association between SUA level and renal outcome o f ESRD in Chinese patients with T2DM and DN was found in our study. Besides, the role of uric acid-lowering therapy in delaying DN progression and improving ESRD outcome had not yet been proven. Further study was needed to clarify the renal bene fit of the uric acid-lowering therapy in the treatment of DN.
- Published
- 2021
- Full Text
- View/download PDF
11. Lower bile acids as an independent risk factor for renal outcomes in patients with type 2 diabetes mellitus and biopsy-proven diabetic kidney disease
- Author
-
Xiang Xiao, Junlin Zhang, Shuming Ji, Chunmei Qin, Yucheng Wu, Yutong Zou, Jia Yang, Yuancheng Zhao, Qin Yang, and Fang Liu
- Subjects
bile acids ,diabetic kidney disease ,glucolipid metabolism ,end-stage renal disease ,renal outcomes ,risk factors ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
AimsAbnormalities of glucolipid metabolism are critical mechanisms involved in the progression of diabetic kidney disease (DKD). Bile acids have an essential role in regulating glucolipid metabolism. This study investigated the clinicopathological characteristics of DKD patients with different bile acid levels and explored the relationship between bile acids and renal outcomes of DKD patients.MethodsWe retrospectively reviewed and evaluated the histopathological features and clinical features of our cohort of 184 patients with type 2 diabetes mellitus and biopsy-proven DKD. Patients were divided into the lower bile acids group (≤2.8 mmol/L) and higher bile acids group (>2.8 mmol/L) based on the cutoff value of bile acids obtained using the time-dependent receiver-operating characteristic curve. Renal outcomes were defined as end-stage renal disease (ESRD). The influence of bile acids on renal outcomes and correlations between bile acids and clinicopathological indicators were evaluated.ResultsBile acids were positively correlated with age (r = 0.152; P = 0.040) and serum albumin (r = 0.148; P = 0.045) and negatively correlated with total cholesterol (r = -0.151; P = 0.041) and glomerular class (r = -0.164; P =0.027). During follow-up, 64 of 184 patients (34.78%) experienced progression to ESRD. Lower levels of proteinuria, serum albumin, and bile acids were independently associated with an increased risk of ESRD (hazard ratio, R=5.319; 95% confidence interval, 1.208–23.425).ConclusionsBile acids are an independent risk factor for adverse renal outcomes of DKD patients. The serum level of bile acids should be maintained at more than 2.8 mmol/L in DKD patients. Bile acid analogs or their downstream signaling pathway agonists may offer a promising strategy for treating DKD.
- Published
- 2022
- Full Text
- View/download PDF
12. Prognostic Nutritional Index as a Predictor of Diabetic Nephropathy Progression
- Author
-
Junlin Zhang, Xiang Xiao, Yucheng Wu, Jia Yang, Yutong Zou, Yuancheng Zhao, Qing Yang, and Fang Liu
- Subjects
prognostic nutritional index ,diabetic nephropathy ,type 2 diabetes ,end-stage renal disease ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Malnutrition and immunologic derangement were not uncommon in patients with chronic kidney disease (CKD). However, the long-term effects of prognostic nutritional index (PNI), an immunonutrition indictor, on renal outcomes in patients with diabetic nephropathy (DN) and type 2 diabetes mellitus (T2DM) are unknown. In this retrospective cohort study, 475 patients with T2DM and biopsy-confirmed DN from West China Hospital between January 2010 and September 2019 were evaluated. PNI was evaluated as serum albumin (g/L) + 5 × lymphocyte count (109/L). The study endpoint was defined as progression to end-stage renal disease (ESRD). The Cox regression analysis was performed to investigate the risk factors of renal failure in DN patients. A total of 321 eligible individuals were finally included in this study. The patients with higher PNI had a higher eGFR and lower proteinuria at baseline. Correlation analysis indicated PNI was positively related eGFR (r = 0.325, p < 0.001), and negatively correlated with proteinuria (r = −0.68, p < 0.001), glomerular lesion (r = −0.412, p < 0.001) and interstitial fibrosis and tubular atrophy (r = −0.282, p < 0.001). During a median follow-up of 30 months (16–50 months), the outcome event occurred in 164(51.09%) of all the patients. After multivariable adjustment, each SD (per-SD) increment of PNI at baseline was associated with a lower incidence of ESRD (hazard ratio, 0.705, 95% CI, 0.523–0.952, p = 0.023), while the hypoalbuminemia and anemia were not. For the prediction of ESRD, the area under curves (AUC) evaluated with time-dependent receiver operating characteristics were 0.79 at 1 year, 0.78 at 2 years, and 0.74 at 3 years, respectively, and the addition of PNI could significantly improve the predictive ability of the model incorporating traditional risk factors. In summary, PNI correlated with eGFR and glomerular injury and was an independent predictor for DN progression in patients with T2DM. Thus, it may facilitate the risk stratification of DN patients and contribute to targeted management.
- Published
- 2022
- Full Text
- View/download PDF
13. Demand Response From the Control of Aggregated Inverter Air Conditioners
- Author
-
Yanbo Che, Jianxiong Yang, Yue Zhou, Yuancheng Zhao, Wei He, and Jianzhong Wu
- Subjects
Inverter air conditioner ,demand response ,load reduction ,virtual energy storage system ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Inverter air conditioners (ACs) account for a large proportion of air conditioning loads in many countries and, thus, contribute significantly to the peak loads in these areas, especially in summer. On the other hand, as an important category of thermostatically controlled load with thermal energy storage capability, inverter ACs also have the potential to provide considerable flexibility for electric power systems that are faced with increasing challenges posed by high penetration of renewable power generation. This paper focuses on the demand response from the control of the aggregated inverter ACs for load reduction. A virtual energy storage system (VESS) model that encapsulates the room with an inverter AC was established based on the electric model of an inverter AC and the thermodynamic model of a room. Based on the VESS model, a virtual state of charge (VSOC) priority-based load reduction control method with temperature holding and linear recovery strategies was proposed. The VSOC priority based control was designed to decrease the negative impact of load reduction on customers' thermal comfort from the perspective of the whole AC population. The temperature holding strategy was designed to reduce the electric power of an AC while ensuring that the indoor temperature is always below the allowable limit. The linear recover strategy was proposed to reduce the load rebound after load reduction. Four cases were studied regarding the operation and load reduction of the 100 inverter ACs, and the simulation results verified the models established and the effectiveness and advantages of the proposed load reduction control method.
- Published
- 2019
- Full Text
- View/download PDF
14. Large Signal Modeling Method for AC/DC Independent Power System in dq-Coordinates
- Author
-
Yanbo Che, Jianmei Xu, Yuexin Yang, Jinhuan Zhou, and Yuancheng Zhao
- Subjects
AC/DC independent power system ,dq-transformation ,generalized state space averaging (GSSA) method ,large signal model ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Large signal stability means that a system can be a transition to a new stable state without losing synchronism after a large disturbance. The large signal stability problem brought by large capacity electrical loads in ac/dc independent power system is prominent, which seriously affects the dynamic security of the system. In view of modeling characteristics of ac/dc system, a generalized state space average large signal modeling method for the ac/dc independent power system in dq-coordinates is proposed. A large signal model of the ac/dc independent power system is constructed, which includes generators, inverter units, rectifying units, and dc/dc converters. The simulation results indicate that the large signal model constructed in this paper can accurately reflect the dynamic characteristics of the system under large disturbances, such as startup and sudden change in load, which is helpful to understand and improve the dynamic performance of the system under large disturbance. Furthermore, with feasibility and effectiveness, the large signal model provides convenience and possibility for the theoretical analysis of large signal stability of ac/dc independent power systems in the future.
- Published
- 2018
- Full Text
- View/download PDF
15. An Optimal Domestic Electric Vehicle Charging Strategy for Reducing Network Transmission Loss While Taking Seasonal Factors into Consideration
- Author
-
Yuancheng Zhao, Yanbo Che, Dianmeng Wang, Huanan Liu, Kun Shi, and Dongmin Yu
- Subjects
domestic electric vehicles ,charging strategy ,network transmission loss ,seasonal factor ,the 0-1 integer programming ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
With the rapid growth of domestic electric vehicle charging loads, the peak-valley gap and power fluctuation rate of power systems increase sharply, which can lead to the increase of network losses and energy efficiency reduction. This paper tries to regulate network loads and reduce power system transmission loss by optimizing domestic electric vehicle charging loads. In this paper, a domestic electric vehicle charging loads model is first developed by analyzing the key factors that can affect users’ charging behavior. Subsequently, the Monte Carlo method is proposed to simulate the power consumption of a cluster of domestic electric vehicles. After that, an optimal electric vehicle charging strategy based on the 0-1 integer programming is presented to regulate network daily loads. Finally, by taking the IEEE33 distributed power system as an example, this paper tries to verify the efficacy of the proposed optimal charging strategy and the necessity for considering seasonal factors when scheduling electric vehicle charging loads. Simulation results show that the proposed 0-1 integer programming method does have good performance in reducing the network peak-valley gap, voltage fluctuation rate, and transmission loss. Moreover, it has some potential to further reduce power system transmission loss when seasonal factors are considered.
- Published
- 2018
- Full Text
- View/download PDF
16. Evaluation Model of Learner's Cognitive Level Based on RoBERTa Fused with CNN
- Author
-
Yingying Cai, Yuancheng Zhao, Haibo Luo, Zhongyou Huang, Zhongying Huang, and Feng Zhang
- Published
- 2023
17. Prognostic value of metabolic syndrome in renal structural changes in type 2 diabetes
- Author
-
Lijun Zhao, Yutong Zou, Lin Bai, Li Zhou, Honghong Ren, Yucheng Wu, Yiting Wang, Shuangqing Li, Qiaoli Su, Linqiao Tang, Yuancheng Zhao, Huan Xu, Lin Li, Zhonglin Chai, Mark E. Cooper, Nanwei Tong, Jie Zhang, and Fang Liu
- Subjects
Metabolic Syndrome ,Diabetes Mellitus, Type 2 ,Nephrology ,Urology ,Disease Progression ,Humans ,Kidney Failure, Chronic ,Diabetic Nephropathies ,Kidney ,Prognosis ,Retrospective Studies - Abstract
To investigate the prognostic value of metabolic syndrome (MetS) and its relationship with renal structure changes in patients with type 2 diabetes and associated diabetic nephropathy (DN).411 Chinese patients with type 2 diabetes and biopsy-confirmed DN were enrolled in this retrospective study. MetS was defined according to the modified criteria of the 2005 International Diabetes Federation. Baseline demographics and clinical information at the time of renal biopsy were extracted from the hospital's electronic medical records system. Renal pathological findings were assessed according to Renal Pathology Society system. Univariate and multivariate logistic regression analyses were performed to define the pathological covariates associated with MetS. A competing risk model, with death as the competing risk, was used to estimate the sub-distribution hazard ratio (SHR) of MetS for end-stage kidney disease (ESKD).224 (55%) patients had MetS. Patients with MetS had poor renal function and more severe interstitial fibrosis tubular atrophy scores (IFTA) than those without MetS. Multivariate logistic regression analysis revealed that IFTA was significantly associated with MetS (odds ratio per score increase 1.45, 95% confidence interval [CI] 1.02-2.05). Of the patients with DN at risk, 40% of patients progressed to ESKD. After adjusting for renal function and pathological parameters, the presence of MetS was an independent predictor for progression to ESKD (SHR 1.93, 95% CI 1.34-2.79). The SHRs for progression to ESKD also increased as the number of MetS components increased. Additionally, adding the IFTA scores improved the prognostic power of a model that only contained MetS and clinical covariates for predicting future ESKD.MetS is an independent prognostic predictor of ESKD in patients with T2D and DN, while adding the IFTA scores increased the prognostic value of MetS for renal outcome.
- Published
- 2022
18. Experimental study on surface defect measurement of ultra-precision curved optical components
- Author
-
hong wang, Xi Hou, Mingze Li, Yang Zhou, Mengfan Li, Xiaochuan Hu, Yuancheng Zhao, and Qiang Chen
- Published
- 2023
19. Bottleneck detection for improvement of Emergency Department efficiency
- Author
-
Yuancheng Zhao, Qingjin Peng, Trevor Strome, Erin Weldon, Michael Zhang, and Alecs Chochinov
- Published
- 2015
- Full Text
- View/download PDF
20. Clinical and Pathological Features of Chinese Patients with Type 2 Diabetes, Biopsy-Proven Diabetic Kidney Disease, and Rapid eGFR Decline
- Author
-
Chunmei Qin, Yiting Wang, Lijun Zhao, Junlin Zhang, Honghong Ren, Yutong Zou, Yucheng Wu, Tingli Wang, Yuancheng Zhao, Rui Zhang, Huan Xu, Jie Zhang, Mark E Cooper, and Fang Liu
- Subjects
Pharmacology ,Internal Medicine ,Targets and Therapy [Diabetes, Metabolic Syndrome and Obesity] - Abstract
Chunmei Qin,1â 3 Yiting Wang,1,2 Lijun Zhao,1,2 Junlin Zhang,1,2 Honghong Ren,1,2 Yutong Zou,1,2 Yucheng Wu,1,2 Tingli Wang,1,2 Yuancheng Zhao,1,2 Rui Zhang,1,2 Huan Xu,4 Jie Zhang,5 Mark E Cooper,6 Fang Liu1,2 1Division of Nephrology, West China Hospital of Sichuan University, Chengdu, Peopleâs Republic of China; 2Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, Peopleâs Republic of China; 3Department of Nephrology, Luzhou Peopleâs Hospital, Luzhou, Peopleâs Republic of China; 4Division of Pathology, West China Hospital of Sichuan University, Chengdu, Peopleâs Republic of China; 5Key Laboratory of Transplant Engineering and Immunology, Chengdu, Peopleâs Republic of China; 6Department of Diabetes, Central Clinical School, Monash University, Melbourne, AustraliaCorrespondence: Fang Liu, Division of Nephrology, West China Hospital of Sichuan University, No. 37, Guoxue Alley, Chengdu, Sichuan, 610041, Peopleâs Republic of China, Tel +86-28-18980601214, Fax +86-28-85422335, Email liufangfh@163.comObjective: The rate of kidney function decline in patients with diabetic kidney disease (DKD) is known to differ. This study analyzed the clinicopathologic features and related risk factors affecting long-term renal survival in Chinese type 2 diabetic patients with rapid estimated glomerular filtration rate (eGFR) decline.Methods: In this retrospective descriptive study, 191 DKD patients were first classified as rapid eGFR decliners and slow eGFR decliners on the basis of the median eGFR slope value (â 8.0 mL/min/1.73 m2/year). In total, 96 patients with rapid eGFR decline were included in the analyses and subsequently allocated to end-stage renal disease (ESRD) and non-ESRD groups. Baseline clinicopathological data of rapid eGFR decliners were collected. Cox proportional hazard analysis was performed to calculate the hazard ratios (HRs) for progression to ESRD.Results: During a median follow-up of 25 months, 52 (54.2%) rapid eGFR decliners progressed to ESRD. These 52 rapid eGFR decliners had poorer renal function, lower hemoglobin and albumin concentrations, higher total cholesterol and baseline proteinuria levels, and more severe interstitial inflammation than those who did not progress to ESRD. After adjustment for age, gender, baseline eGFR, proteinuria, hemoglobin level, serum albumin concentration, and histopathologic parameters, multivariate Cox proportional hazard analysis revealed that eGFR (HR 0.973, 95% CI 0.956â 0.989) and proteinuria (HR 1.125, 95% CI 1.030â 1.228) were associated with the increased risk of progression to ESRD.Conclusion: Higher proteinuria and lower eGFR were independent risk factors for renal progression in Chinese patients with type 2 diabetes and rapid eGFR decline.Keywords: diabetic kidney disease, rapid eGFR decline, clinical, pathological, type 2 diabetes
- Published
- 2022
21. Research on a data driven vehicle obstacle avoidance control model
- Author
-
Yuancheng ZHAO and Zhongyou Huang
- Published
- 2022
22. Metabolic-associated fatty liver disease increases the risk of end-stage renal disease in patients with biopsy-confirmed diabetic nephropathy: a propensity-matched cohort study
- Author
-
Yutong Zou, Lijun Zhao, Junlin Zhang, Yiting Wang, Yucheng Wu, Honghong Ren, Tingli Wang, Yuancheng Zhao, Huan Xu, Lin Li, Nanwei Tong, and Fang Liu
- Subjects
Endocrinology ,Endocrinology, Diabetes and Metabolism ,Internal Medicine ,General Medicine - Abstract
To investigate the relationship between metabolic-associated fatty liver disease (MAFLD) and end-stage renal disease (ESRD) in patients with biopsy-confirmed diabetic nephropathy (DN).A total of 316 participants with biopsy-confirmed DN between January 2008 and December 2019 were retrospectively assessed. Kaplan-Meier curve and Cox proportional hazard models were used to compare the risk of incident ESRD in 50 patients with MAFLD and 50 patients without MAFLD, after using propensity score matching (PSM) to address the imbalances of sex, age, baseline-estimated glomerular filtration rate, serum albumin, 24-h urine protein, hemoglobin and systolic blood pressure.During the median follow-up period of 3 years, there were 19 ESRD outcome events (19%) in PSM cohort. Kaplan-Meier curve analysis suggested that renal survival significantly deteriorated in patients with MAFLD versus those without MAFLD (p = 0.021). Additionally, the hazard ratios (95% confidence interval) of MAFLD were 3.12 (1.09-8.95, p = 0.035), 3.36 (1.09-10.43, p = 0.036), 3.66 (1.22-10.98, p = 0.021), 4.25 (1.34-13.45, p = 0.014), 3.11 (1.08-8.96, p = 0.035) and 5.84 (1.94-18.5, p = 0.003) after adjustment for six models, including demographic, clinical and pathological characteristics as well as medication use at the time of renal biopsy, respectively. Besides, patients with higher liver fibrosis score had a greater possibility of ESRD, comparing to those with lower liver fibrosis score (p = 0.002).MAFLD increases the risk of incident ESRD in patients with biopsy-proven DN. Further research is needed to determine whether treatment targeting MAFLD improves the prognosis of DN.
- Published
- 2022
23. Early-onset of type 2 diabetes mellitus is a risk factor for diabetic nephropathy progression: a biopsy-based study
- Author
-
Lijun Zhao, Nanwei Tong, Jiali Wang, Junlin Zhang, Yutong Zou, Fang Liu, Yiting Wang, Honghong Ren, Tingli Wang, Huan Xu, Zhonglin Chai, Yuancheng Zhao, Rui Zhang, Lin Li, Chunmei Qin, Mark E. Cooper, and Yucheng Wu
- Subjects
Adult ,Male ,Aging ,medicine.medical_specialty ,endocrine system diseases ,Biopsy ,T2DM ,Renal function ,Diabetic nephropathy ,Risk Factors ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,Diabetic Nephropathies ,Age of Onset ,Risk factor ,Proteinuria ,business.industry ,diabetic nephropathy ,nutritional and metabolic diseases ,Type 2 Diabetes Mellitus ,Cell Biology ,Middle Aged ,medicine.disease ,Middle age ,Diabetes Mellitus, Type 2 ,Cohort ,Disease Progression ,Female ,early-onset ,medicine.symptom ,business ,Research Paper - Abstract
Several studies show that patients with early-onset diabetes have higher risk of diabetic complications than those diagnosed in middle age. However, whether early-onset of type 2 diabetes mellitus (T2DM) is a risk factor for diabetic nephropathy (DN) progression remains unclear, especially a lack of data in biopsy-confirmed cohort. In This study, we enrolled 257 patients with T2DM and biopsy-confirmed DN to investigate the role of early-onset T2DM in DN progression. Participants were divided into two groups according to the age of T2DM diagnosis: early-onset group (less than 40 years) and later-onset group (40 years or older). We found that patients with early-onset T2DM had higher glomerular grades and arteriolar hyalinosis scores than those in later-onset group. After adjusted for confounding factors, early-onset of T2DM remained an independent predictor of end-stage renal disease (ESRD) for patients with DN. In conclusion, although with the comparable renal function and proteinuria, patients with early-onset T2DM and DN had worse renal pathological changes than those with later-onset. Early-onset of T2DM might be an important predictor of ESRD for patients with DN, which called more attention to early supervision and prevention for patients with early-onset T2DM and DN.
- Published
- 2021
24. Efficacy and safety of drugs for people with type 2 diabetes mellitus and chronic kidney disease on kidney and cardiovascular outcomes: A systematic review and network meta-analysis of randomized controlled trials
- Author
-
Qing Yang, Yanlin Lang, Wenjie Yang, Fenghao Yang, Jia Yang, Yucheng Wu, Xiang Xiao, Chunmei Qin, Yutong Zou, Yuancheng Zhao, Deying Kang, and Fang Liu
- Subjects
Endocrinology ,Endocrinology, Diabetes and Metabolism ,Internal Medicine ,General Medicine - Published
- 2023
25. Research on Electronic Data Forensics Based on RAM
- Author
-
Cong Wang, Jianhu Dong, and Yuancheng Zhao
- Subjects
Computer science ,business.industry ,Process (computing) ,ComputingMilieux_LEGALASPECTSOFCOMPUTING ,Cloud computing ,computer.software_genre ,Computer security ,Memory forensics ,Cybercrime ,Digital evidence ,Virtual machine ,Key (cryptography) ,Electronic data ,business ,computer - Abstract
Electronic data forensics is the process of obtaining, preserving, analyzing and presenting evidence for computer invasion, destruction, fraud, attack and other criminal acts. Some key digital evidence of cybercrime exists in physical memory or stored in page exchange files, so memory forensics is an important part of electronic data forensics. This paper studies RAM-based electronic data forensics with the use of the memory forensics tool Volatility. By obtaining the memory data of real equipment, cloud computing, virtual machine or virtual devices, performing the extraction and analysis of process information, registry, network connection, strings, access records and other contents, and extracting the digital evidence related to network attack or network crime.
- Published
- 2021
26. Identify the critical protein‐coding genes and long noncoding RNAs in cardiac myxoma
- Author
-
Yuanbin Wu, Shixiong Wei, Huimin Cui, Huajun Zhang, Nan Cheng, Rong Wang, Yuancheng Zhao, and Yi Guo
- Subjects
Adult ,Male ,0301 basic medicine ,MAPK/ERK pathway ,Computational biology ,Biology ,Biochemistry ,DNA sequencing ,Heart Neoplasms ,03 medical and health sciences ,0302 clinical medicine ,Biomarkers, Tumor ,medicine ,Humans ,Gene Regulatory Networks ,Protein Interaction Maps ,RNA, Messenger ,Pathology processes ,Molecular Biology ,Gene ,Protein coding ,Messenger RNA ,Competing endogenous RNA ,Computational Biology ,Myxoma ,Cell Biology ,Middle Aged ,medicine.disease ,Neoplasm Proteins ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,030104 developmental biology ,030220 oncology & carcinogenesis ,Female ,RNA, Long Noncoding - Abstract
Cardiac myxoma (CM) is the most common benign cardiac tumor which is mostly sporadic. Increasing evidence show that protein-coding genes (PCGs) and long noncoding RNAs (lncRNAs) play important roles in the pathology processes of multiple cancers. However, the functional roles and regulatory mechanisms of RNAs interaction in CM are still unclear. In this study, we investigated three pairs of surgically excised CM by high throughput sequencing and screened a set of PCGs and lncRNAs which were differentially expressed and could serve as expression markers in CM. By constructing protein-protein interactions (PPI) and lncRNA-mRNA coexpressing network, we screened out a CM-related hub lncRNA-mRNA modules, which were enriched in different pathways such as MAPK and TGF-beta whose imbalance were validated by q-PCR. In addition, we identified a specific dysregulated competing endogenous RNA (ceRNA) network in CM by integrating lncRNA-miRNA-mRNA interactions. These results will help us to understand the interaction mechanisms of RNAs in CM and provide novel PCGs and lncRNAs as potential therapeutic targets for CM.
- Published
- 2019
27. Vulnerability assessment of urban power grid based on combination evaluation
- Author
-
Dongzi He, Jingjing Jia, Tianwei Cao, Yuancheng Zhao, and Yanbo Che
- Subjects
Index (economics) ,Artificial neural network ,Vulnerability index ,Computer science ,05 social sciences ,0211 other engineering and technologies ,Public Health, Environmental and Occupational Health ,Poison control ,Analytic hierarchy process ,02 engineering and technology ,Grid ,Reliability engineering ,Power (physics) ,Vulnerability assessment ,021105 building & construction ,0501 psychology and cognitive sciences ,Safety, Risk, Reliability and Quality ,Safety Research ,050107 human factors - Abstract
As urban power grid is getting more and more complex, it is necessary to improve the original evaluation method and also a more convenient and accurate vulnerability assessment of urban power grid is needed. Firstly, the evaluating vulnerability index system of urban power grid is established by Analytic Hierarchy Process (AHP) from four aspects of composition of power supply, grid structure, grid operation and important transmission channels. Secondly, according to the effect and position of index in evaluation system, the weights of different indexes are calculated by using the Artificial Neural Network (ANN). Thirdly, aiming at the problem of different dimensions of input indexes, a nondimensionalized scoring standard is proposed to form a complete assessment system. Finally, the vulnerability assessment of urban power grid is carried out by taking a city as an example. The paper puts forward the weaknesses and defects of the urban power grid after analyzing the results, which lays a theoretical foundation for further optimization and upgrading.
- Published
- 2019
28. Electrical Constraints on the channel flow underneath the northeastern Tibetan plateau: Results of the Longriba-Minjiang magnetotelluric sounding profile
- Author
-
Gaofeng Ye, Sheng Jin, Ji'en Dong, Wenbo Wei, and Yuancheng Zhao
- Subjects
010504 meteorology & atmospheric sciences ,Geology ,Crust ,Fold (geology) ,Structural basin ,010502 geochemistry & geophysics ,01 natural sciences ,Open-channel flow ,Nappe ,Sinistral and dextral ,Magnetotellurics ,Upwelling ,Petrology ,0105 earth and related environmental sciences ,Earth-Surface Processes - Abstract
The Minjiang Fault belt on the eastern edge of the Tibetan Plateau is the boundary between the Motianling block and the Songpan-Ganzi fold belt. It has recently been a focus of many geological and geophysical studies. In this paper, a NW-SE trending magnetotelluric (MT) sounding profile which crossed the Minjiang Fault and adjacent regions was used to study the deep structure of this region. The dimensionality analysis results indicate that the structure of the research area is 3-D. This is because most of the Swift and Bahr skew values are larger than 0.2 in the long period data. In contrast, impedance tensor decomposition results show a poorly-defined strike angle of N20°E with the 90° ambiguity removed with regional geological information. A similar strike angle was given by phase tensor analysis as well. Thus, both 2-D and 3-D approaches were applied to produce resistivity models. The resistivity model can be divided into three parts which are the Ruoergai basin, the Maerkang block and the Minshan block from west to east. These three parts are separated by the Longriba Fault in the west and the Minjiang Fault in the east. The Ruoergai block and Maerkang block are characterized by highly resistive upper crust and less resistive middle to lower crust. The low resistivity layer is located beneath the Minjiang Fault and connects with the shallow low resistivity body in the upper crust of the Minshan block. The shallow conductor beneath the Minshan block may be caused by fluid and partial melt. In contrast, the widespread low resistivity middle to lower crust beneath the Minshan block, is interpreted as partial melt and can be related to the northeastward channel flow of the weakened Tibetan crust. The channel flow is interpreted to travel through the Longriba Fault in the eastern margin of the Tibetan plateau and was blocked by the rigid Motianling block east of the Minshan block. This blockage caused the upwelling of partial melt in the middle and lower crust, leading to crustal deformation in the weak Minshan uplift zone. As a result, the Minshan uplift was formed as a result of an eastward-thrusting nappe, whereas the left-lateral, strike-slip movement of the Minjiang Faults and Huya fracture accelerates the uplift of the Minshan block. The other portion of the channel flow is blocked by the Motianling block and turns to the southeast, resulting in the Maerkang block moving to the south; this phenomenon corresponds to the dextral strike-slip movement of the Longriba Fault and the sinistral strike-slip movement of the Minjiang Fault.
- Published
- 2019
29. Demand Response From the Control of Aggregated Inverter Air Conditioners
- Author
-
Yuancheng Zhao, Jianzhong Wu, Yue Zhou, Wei He, Yanbo Che, and Jianxiong Yang
- Subjects
General Computer Science ,Computer science ,020209 energy ,02 engineering and technology ,Thermal energy storage ,Automotive engineering ,Energy storage ,Demand response ,Electric power system ,load reduction ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Renewable power generation ,virtual energy storage system ,Inverter air conditioner ,business.industry ,020208 electrical & electronic engineering ,General Engineering ,Thermal comfort ,Air conditioning ,demand response ,Inverter ,Electric power ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,business ,lcsh:TK1-9971 - Abstract
Inverter air conditioners (ACs) account for a large proportion of air conditioning loads in many countries and, thus, contribute significantly to the peak loads in these areas, especially in summer. On the other hand, as an important category of thermostatically controlled load with thermal energy storage capability, inverter ACs also have the potential to provide considerable flexibility for electric power systems that are faced with increasing challenges posed by high penetration of renewable power generation. This paper focuses on the demand response from the control of the aggregated inverter ACs for load reduction. A virtual energy storage system (VESS) model that encapsulates the room with an inverter AC was established based on the electric model of an inverter AC and the thermodynamic model of a room. Based on the VESS model, a virtual state of charge (VSOC) priority-based load reduction control method with temperature holding and linear recovery strategies was proposed. The VSOC priority based control was designed to decrease the negative impact of load reduction on customers’ thermal comfort from the perspective of the whole AC population. The temperature holding strategy was designed to reduce the electric power of an AC while ensuring that the indoor temperature is always below the allowable limit. The linear recover strategy was proposed to reduce the load rebound after load reduction. Four cases were studied regarding the operation and load reduction of the 100 inverter ACs, and the simulation results verified the models established and the effectiveness and advantages of the proposed load reduction control method.
- Published
- 2019
30. Lower bile acids as an independent risk factor for renal outcomes in patients with type 2 diabetes mellitus and biopsyproven diabetic kidney disease.
- Author
-
Xiang Xiao, Junlin Zhang, Shuming Ji, Chunmei Qin, Yucheng Wu, Yutong Zou, Jia Yang, Yuancheng Zhao, Qin Yang, and Fang Liu
- Subjects
DIABETIC nephropathies ,TYPE 2 diabetes ,BILE acids ,CHRONIC kidney failure ,TREATMENT effectiveness - Abstract
Aims: Abnormalities of glucolipid metabolism are critical mechanisms involved in the progression of diabetic kidney disease (DKD). Bile acids have an essential role in regulating glucolipid metabolism. This study investigated the clinicopathological characteristics of DKD patients with different bile acid levels and explored the relationship between bile acids and renal outcomes of DKD patients. Methods: We retrospectively reviewed and evaluated the histopathological features and clinical features of our cohort of 184 patients with type 2 diabetes mellitus and biopsy-proven DKD. Patients were divided into the lower bile acids group (=2.8 mmol/L) and higher bile acids group (>2.8 mmol/L) based on the cutoff value of bile acids obtained using the time-dependent receiveroperating characteristic curve. Renal outcomes were defined as end-stage renal disease (ESRD). The influence of bile acids on renal outcomes and correlations between bile acids and clinicopathological indicators were evaluated. Results: Bile acids were positively correlated with age (r = 0.152; P = 0.040) and serum albumin (r = 0.148; P = 0.045) and negatively correlated with total cholesterol (r = -0.151; P = 0.041) and glomerular class (r = -0.164; P =0.027). During follow-up, 64 of 184 patients (34.78%) experienced progression to ESRD. Lower levels of proteinuria, serum albumin, and bile acids were independently associated with an increased risk of ESRD (hazard ratio, R=5.319; 95% confidence interval, 1.208-23.425). Conclusions: Bile acids are an independent risk factor for adverse renal outcomes of DKD patients. The serum level of bile acids should be maintained at more than 2.8 mmol/L in DKD patients. Bile acid analogs or their downstream signaling pathway agonists may offer a promising strategy for treating DKD. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
31. Combining glomerular basement membrane and tubular basement membrane assessment improves the prediction of diabetic end-stage renal disease
- Author
-
Junlin Zhang, Fang Liu, Yutong Zou, Yuancheng Zhao, Rui Zhang, Lin Bai, Lijun Zhao, Huan Xu, Lin Li, Mark E. Cooper, Song Lei, Honghong Ren, Jie Zhang, and Nanwei Tong
- Subjects
Male ,medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,Urology ,Renal function ,030209 endocrinology & metabolism ,Type 2 diabetes ,030204 cardiovascular system & hematology ,糖尿病肾病 ,预后 ,urologic and male genital diseases ,End stage renal disease ,Diabetic nephropathy ,03 medical and health sciences ,0302 clinical medicine ,肾小管基底膜 ,Diabetes mellitus ,Glomerular Basement Membrane ,medicine ,Humans ,Diabetic Nephropathies ,glomerular membrane basement ,end‐stage renal disease ,Retrospective Studies ,tubular membrane basement ,business.industry ,urogenital system ,终末期肾脏病 ,Glomerular basement membrane ,diabetic nephropathy ,Hazard ratio ,Original Articles ,Middle Aged ,medicine.disease ,Prognosis ,肾小球基底膜 ,medicine.anatomical_structure ,Kidney Tubules ,Renal pathology ,Diabetes Mellitus, Type 2 ,Kidney Failure, Chronic ,Female ,Original Article ,business ,Follow-Up Studies - Abstract
Background To address the prognostic value of combining tubular basement membrane (TBM) and glomerular basement membrane (GBM) thickness in diabetic nephropathy (DN). Methods This retrospective study enrolled 110 patients with type 2 diabetes and biopsy‐proven DN from 2011 to 2018. The pathological findings were confirmed according to the Renal Pathology Society classifications. GBM and TBM thicknesses were determined using the Haas' direct measurement/arithmetic mean method and orthogonal intercept method, respectively. Cox proportional hazard models were used to investigate the hazard ratios (HRs) for the influence of combined GBM and TBM thickness for predicting end‐stage renal disease (ESRD). Results Patients were assigned to three groups according to the median GBM and TBM thickness: GBMloTBMlo (GBM, Highlights The prognostic value of combining tubular basement membrane (TBM) and glomerular basement membrane (GBM) in diabetic nephropathy (DN) was lacking.TBM thickness was strongly correlated with GBM thickness, baseline estimated glomerular filtration rate, and proteinuria.The degree of TBM thickness provided additional value to GBM thickness for predicting end‐stage renal disease progression in patients with type 2 diabetes and biopsy‐proven DN.
- Published
- 2020
32. Three-dimensional electrical structure of the Huya fault and adjacent areas of the eastern margin of the Tibetan Plateau and its geological significance
- Author
-
Ji'’en Dong, Gaofeng Ye, Yuancheng Zhao, Wenquan Zhang, Wenbo Wei, Sheng Jin, Lianchang Shi, and Changwei Qi
- Subjects
Geophysics ,Earth-Surface Processes - Published
- 2022
33. Minimal Cut Sets-Based Reliability Evaluation of the More Electric Aircraft Power System
- Author
-
Jinhuan Zhou, Tingjun Lin, Yanbo Che, Jiaxuan Liu, Jianmei Xu, Chuanyan Wang, and Yuancheng Zhao
- Subjects
Schedule ,Article Subject ,Aviation ,Computer science ,020209 energy ,General Mathematics ,0211 other engineering and technologies ,Topology (electrical circuits) ,02 engineering and technology ,Electric power system ,0202 electrical engineering, electronic engineering, information engineering ,Reliability (statistics) ,021103 operations research ,business.industry ,lcsh:Mathematics ,Node (networking) ,General Engineering ,Failure rate ,lcsh:QA1-939 ,Reliability engineering ,lcsh:TA1-2040 ,Path (graph theory) ,Key (cryptography) ,Electric aircraft ,lcsh:Engineering (General). Civil engineering (General) ,business - Abstract
The More Electric Aircraft (MEA) stands for the direction of aviation development in the new era, and the reliability of power systems on the MEA has attracted widespread attention. Based on the characteristics of MEA power systems, an equivalent method of electrical topology structure is presented in this article, and evaluation method is proposed which shows the reliability of the overall system with the reliability of specific nodes. Firstly, electrical topology structure of a MEA power system is converted into a network node diagram according to the proposed equivalent method. Then, the minimal path sets of specific nodes are obtained by the adjacent matrix algorithm, and the low-order minimal cut sets of disjointed are obtained. After that, the actual failure rate of components is converted to node failure rate, and the reliability of the overall system is evaluated by operational reliability indexes of specific nodes. Finally, taking the MEA A380 as an example, this paper compares and analyzes the reliability of AC loads, DC loads, and key loads to verify the validity and feasibility of the proposed evaluation method. This evaluation system can predict the weak points existing in the MEA power system, as well as providing theoretical support for maintenance schedule.
- Published
- 2018
34. Large Signal Modeling Method for AC/DC Independent Power System in dq-Coordinates
- Author
-
Jianmei Xu, Yuancheng Zhao, Jinhuan Zhou, Yanbo Che, and Yang Yuexin
- Subjects
generalized state space averaging (GSSA) method ,General Computer Science ,dq-transformation ,Computer science ,020209 energy ,General Engineering ,02 engineering and technology ,Large-signal model ,Converters ,Signal ,Stability (probability) ,large signal model ,Electric power system ,Control theory ,0202 electrical engineering, electronic engineering, information engineering ,State space ,Inverter ,General Materials Science ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,lcsh:TK1-9971 ,AC/DC independent power system - Abstract
Large signal stability means that a system can be a transition to a new stable state without losing synchronism after a large disturbance. The large signal stability problem brought by large capacity electrical loads in ac/dc independent power system is prominent, which seriously affects the dynamic security of the system. In view of modeling characteristics of ac/dc system, a generalized state space average large signal modeling method for the ac/dc independent power system in dq-coordinates is proposed. A large signal model of the ac/dc independent power system is constructed, which includes generators, inverter units, rectifying units, and dc/dc converters. The simulation results indicate that the large signal model constructed in this paper can accurately reflect the dynamic characteristics of the system under large disturbances, such as startup and sudden change in load, which is helpful to understand and improve the dynamic performance of the system under large disturbance. Furthermore, with feasibility and effectiveness, the large signal model provides convenience and possibility for the theoretical analysis of large signal stability of ac/dc independent power systems in the future.
- Published
- 2018
35. Modeling and Analysis of 12-Pulse Inverter in Shipboard or Aircraft
- Author
-
Guojian Liu, Yuancheng Zhao, Che Yanbo, and Jianmei Xu
- Subjects
Computer science ,business.industry ,Mechanical Engineering ,020208 electrical & electronic engineering ,Naval architecture. Shipbuilding. Marine engineering ,Electrical engineering ,VM1-989 ,Ocean Engineering ,02 engineering and technology ,021001 nanoscience & nanotechnology ,Pulse (physics) ,0202 electrical engineering, electronic engineering, information engineering ,Inverter ,0210 nano-technology ,MATLAB ,business ,computer ,computer.programming_language - Abstract
With the development of DC distribution system within the isolated power system of a ship or an aircraft, more constant frequency loads will be supplied by inverters connected to DC main bus. In the operating mode conversion process of an isolated power system, inverters will inevitably suffer from serious disturbance and affect the stability of the system. Therefore, it is important to establish a model of the inverter that reflects its dynamic characteristics and based on which to conduct the stability analysis. This paper proposes a 12-pulse inverter model based on the generalized state space averaging (GSSA) method. This model can overcome the limitations of 12-pulse inverter state space averaging (SSA) model in transient analysis with good accuracy and fast analysis ability effectively. Three kinds of models for a 12-pulse aircraft inverter are built in MATLAB, namely GSSA model, SSA model and detail device model. The simulation results show the high accuracy of GSSA model in stability analysis. This study provides an effective analytical tool for stability analysis of 12-pulse inverter and also provides a reference for inverter modeling research of isolated power system such as in aircraft or ship.
- Published
- 2017
36. Mobile edge computing scheduling algorithm based on minimum total delay-time
- Author
-
Yuancheng Zhao
- Subjects
History ,Mobile edge computing ,Computer science ,Real-time computing ,Total delay ,Computer Science Applications ,Education - Abstract
As an emerging architecture, mobile edge computing (MEC) extends cloud computing services to network edges close to users through MEC servers, satisfying the application needs of real-time control and real-time data analysis. However, due to the limited computing power of MEC server, the task has a long delay-time. In order to improve the current situation, this paper proposes a scheduling algorithm of minimum total delay-time (MTD), in which the server determines the optimal order of task computation to MTD. In addition, this paper proposes an incentive mechanism for users to submit tasks with reasonable computation and expected completion time, while reducing the number and computation of submitted tasks when server computing resources are insufficient. The results show that the performance of the algorithm is close to that of the traditional scheduling algorithm, and total delay-time and average delay-time have improved by 17% to 200%.
- Published
- 2021
37. A Hierarchical Approach for Fast Calculating Minimal Cut Sets of a Microgrid
- Author
-
Jianmei Xu, Jinhuan Zhou, Yuancheng Zhao, and Yanbo Che
- Subjects
Mathematical optimization ,021103 operations research ,Correctness ,Article Subject ,Basis (linear algebra) ,Diagram (category theory) ,lcsh:Mathematics ,020209 energy ,General Mathematics ,Reliability (computer networking) ,0211 other engineering and technologies ,General Engineering ,Topology (electrical circuits) ,02 engineering and technology ,lcsh:QA1-939 ,Matrix (mathematics) ,lcsh:TA1-2040 ,Path (graph theory) ,0202 electrical engineering, electronic engineering, information engineering ,Microgrid ,lcsh:Engineering (General). Civil engineering (General) ,Algorithm ,Mathematics - Abstract
Minimal cut sets are the basis of reliability analysis using analytical techniques. At the present stage, minimal cut sets are mainly obtained by dealing with minimal path sets, which involves cumbersome steps and slower operational speed. The speed of reliability analysis is limited by that of calculating minimal cut sets. In consideration of the characteristics of microgrid, a hierarchical approach for fast calculating minimal cut sets is proposed in this paper. Firstly, an equivalent principle is proposed to convert topology structure into network node diagram; then grades of nodes are designated based on their original connection and the breadth-first search approach; afterwards, root-leaf matrices and selected matrix are created to specify the direction and order of the search. Next, all possible combinations of minimal cut sets are vertically traversed out by replacing root nodes with leaf nodes to achieve a more rapid access to minimal cut sets. Finally, taking the electrical structure of type A380 more electric aircraft as an example, mainstream methods are compared to show the correctness and advantage of our proposed method.
- Published
- 2017
38. Control Strategy for Inverter Air Conditioners under Demand Response
- Author
-
Siyuan Xue, Yuancheng Zhao, Jianxiong Yang, and Yanbo Che
- Subjects
0209 industrial biotechnology ,Computer science ,020209 energy ,Reliability (computer networking) ,Bioengineering ,02 engineering and technology ,inverter air conditioner ,Thermal energy storage ,lcsh:Chemical technology ,Energy storage ,Automotive engineering ,Demand response ,lcsh:Chemistry ,Electric power system ,020901 industrial engineering & automation ,virtual energy storage ,0202 electrical engineering, electronic engineering, information engineering ,Chemical Engineering (miscellaneous) ,lcsh:TP1-1185 ,business.industry ,Process Chemistry and Technology ,virtual state of charge ,lcsh:QD1-999 ,Air conditioning ,demand response ,Inverter ,Electric power ,business - Abstract
Air conditioning loads are important resources for demand response. With the help of thermal energy storage capacity, they can reduce peak load, improve the reliability of power grid operations, and enhance the emergency capacity of a power grid, without affecting the comfort of the users. In this paper, a virtual energy storage model for inverter air conditioning loads, which reflects their operating characteristics and is more conducive to practical application, is established. Two parts are involved in the virtual energy storage model: An electrical parameter part, based on the operating characteristics, and a thermal parameter part, based on the equivalent thermal parameter model. The control function and restrictive conditions of the virtual energy storage are analyzed and a control strategy, based on virtual state-of-charge ranking, is proposed. The strategy controls the inverter air conditioners through re-assigning indoor temperature set-points within the pre-agreed protocol interval and gives priority those with a higher virtual state of charge. As a result, electric power consumption is reduced while the temperature remains unchanged, so that a shortage in the power system can be compensated for as much as possible, while the comfort of users is guaranteed. Simulation and example analyses show that the strategy is effective in controlling air conditioning loads. Additionally, the influences of load reduction target magnitude and communication time-step on the performance of the control strategy are analyzed.
- Published
- 2019
- Full Text
- View/download PDF
39. Control Strategy of Electric Heating Loads for Reducing Power Shortage in Power Grid
- Author
-
Yuancheng Zhao, Ruiping Zhang, Siyuan Xue, He Wei, and Yanbo Che
- Subjects
Discretization ,Computer science ,020209 energy ,Bioengineering ,02 engineering and technology ,lcsh:Chemical technology ,Automotive engineering ,Energy storage ,Demand response ,lcsh:Chemistry ,Linearization ,0202 electrical engineering, electronic engineering, information engineering ,power shortage ,Chemical Engineering (miscellaneous) ,lcsh:TP1-1185 ,Process Chemistry and Technology ,virtual energy storage (VES), virtual state of charge (VSOC) ,021001 nanoscience & nanotechnology ,Grid ,Power (physics) ,Virtual state ,lcsh:QD1-999 ,demand response ,Electric heating ,electric heating load ,0210 nano-technology ,electric water heater - Abstract
With the development of demand response technology, it is possible to reduce power shortages caused by loads participating in power grid dispatching. Based on the equivalent thermal parameter model, and taking full account of the virtual energy storage characteristics presented during electro-thermal conversion, a virtual energy storage model suitable for electric heating loads with different electrical and thermal parameters is proposed in this paper. To avoid communication congestion and simplify calculations, the model is processed by discretization and linearization. To simplify the model, a control strategy for electric heating load, based on the virtual state ofcharge priority list, is proposed. This paper simulates and analyzes a control example, explores the relevant theoretical basis affecting the control effect, and puts forward an optimization scheme for the control strategy. The simulation example proved that the proposed method in this paper can reduce power storage in the grid over a long period of time and can realize a power response in the grid.
- Published
- 2019
40. Control Strategy of Constant-Speed Air-Conditioners Based on Virtual State of Charging Priority
- Author
-
Li Zheng, Yuancheng Zhao, Ruiping Zhang, Wei He, and Yanbo Che
- Subjects
Article Subject ,Computer science ,business.industry ,lcsh:Mathematics ,General Mathematics ,020208 electrical & electronic engineering ,General Engineering ,Control engineering ,02 engineering and technology ,lcsh:QA1-939 ,Energy storage ,Power (physics) ,Demand response ,lcsh:TA1-2040 ,Air conditioning ,Load regulation ,Thermal ,0202 electrical engineering, electronic engineering, information engineering ,Energy transformation ,State (computer science) ,lcsh:Engineering (General). Civil engineering (General) ,business ,Gas compressor - Abstract
As typical thermostatically controlled loads (TCL) driven by constant-speed compressor, constant-speed air-conditioners play important roles in demand-side response for their abilities of energy conversion and storage. Their great potential for load regulation can be incorporated into power system scheduling through demand response. In view of their operating characteristics, a virtual energy storage (VES) model of thermostatically controlled loads with electrical and thermal parameters is established. This model is discretized and linearized to simplify calculation. By analyzing the control function and constraints of the VES model, the control strategy of VES of constant-speed air-conditioners load with virtual charging state priority is proposed. Example analysis shows that this strategy can solve and alleviate power shortage problem of the system by participating in demand response, which provides methodological support for constant-speed compressor temperature-control load to participate in the system operation.
- Published
- 2019
- Full Text
- View/download PDF
41. Three‐Dimensional Lithospheric Resistivity Structure of the NE Tibetan Plateau and the Western North China Block and its Geological Significance
- Author
-
Yuancheng Zhao, Letian Zhang, Sheng Jin, Yaotian Yin, Hao Dong, Wenbo Wei, and Gaofeng Ye
- Subjects
geography ,Plateau ,geography.geographical_feature_category ,Lithosphere ,Electrical resistivity and conductivity ,Block (telecommunications) ,North china ,Geology ,Petrology - Published
- 2019
42. Bottleneck detection for improvement of Emergency Department efficiency
- Author
-
Alecs Chochinov, Yuancheng Zhao, Erin Weldon, Trevor Strome, Michael G. Zhang, and Qingjin Peng
- Subjects
Waiting time ,Computer science ,Design of experiments ,Benchmark (computing) ,Business, Management and Accounting (miscellaneous) ,Operations management ,Emergency department ,Benchmarking ,Business and International Management ,Treatment procedure ,Bottleneck ,Patient flow - Abstract
Purpose – The purpose of this paper is to introduce a method of the bottleneck detection for Emergency Department (ED) improvement using benchmarking and design of experiments (DOE) in simulation model. Design/methodology/approach – Four procedures of treatments are used to represent ED activities of the patient flow. Simulation modeling is applied as a cost-effective tool to analyze the ED operation. Benchmarking provides the achievable goal for the improvement. DOE speeds up the process of bottleneck search. Findings – It is identified that the long waiting time is accumulated by previous arrival patients waiting for treatment in the ED. Comparing the processing time of each treatment procedure with the benchmark reveals that increasing the treatment time mainly happens in treatment in progress and emergency room holding (ERH) procedures. It also indicates that the to be admitted time caused by the transfer delay is a common case. Research limitations/implications – The current research is conducted in the ED only. Activities in the ERH require a close cooperation of several medical teams to complete patients’ condition evaluations. The current model may be extended to the related medical units to improve the model detail. Practical implications – ED overcrowding is an increasingly significant public healthcare problem. Bottlenecks that affect ED overcrowding have to be detected to improve the patient flow. Originality/value – Integration of benchmarking and DOE in simulation modeling proposed in this research shows the promise in time-saving for bottleneck detection of ED operations.
- Published
- 2015
43. Evaluation of fast track strategies using agent-based simulation modeling to reduce waiting time in a hospital emergency department
- Author
-
Qingjin Peng, Michael Zhang, Arjun Kaushal, Trevor Strome, Erin Weldon, Yuancheng Zhao, and Alecs Chochinov
- Subjects
Waiting time ,Economics and Econometrics ,Decision tool ,Process (engineering) ,Computer science ,Strategy and Management ,Geography, Planning and Development ,Simulation modeling ,Emergency department ,Management Science and Operations Research ,Standard procedure ,Operations management ,State (computer science) ,Statistics, Probability and Uncertainty ,Fast track - Abstract
Different strategies have been proposed to reduce patient waiting time in hospitals. Previous investigations indicate that up to 50% or more patients can be treated in a “fast track” process compared to the standard procedure in some emergency departments. However most studies on emergency department (ED) fast tracks were based on evidence without using an efficient decision tool to show applicability of the results. An agent-based simulation tool is proposed in this research to evaluate fast track treatment (FTT) in an ED. The tool can study the behavior change of entities and resources in a complex ED system. Static and dynamic FTT processes are evaluated. The static process uses a fixed duration in the daily ED operation. In the dynamic process, FTT is triggered based on the current patient waiting time and the state of ED operations. The simulation results provide details and information for the process of the FTT implementation at the ED to reduce patient waiting time.
- Published
- 2015
44. An improved strategy of aviation power generation system based on dual excitation control
- Author
-
Jianmei Xu, Gengji Wang, Yanbo Che, Guojian Liu, Yuancheng Zhao, and Jinhuan Zhou
- Subjects
010302 applied physics ,Engineering ,business.industry ,020208 electrical & electronic engineering ,Automatic frequency control ,02 engineering and technology ,AC power ,01 natural sciences ,Power (physics) ,Electric power system ,Electricity generation ,Transmission (telecommunications) ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,business ,Power control ,Voltage - Abstract
In Constant speed constant frequency (CSCF) AC power supply system, generator output constant frequency and constant voltage AC power by connecting engine with constant speed transmission device (CSD). However, CSCF has many disadvantages, such as complex structure, heavy weight, high cost and low energy conversion efficiency. By eliminating CSD in CSCF and taking output voltage and output frequency as feedback quantities, this paper proposes a dual excitation control method to achieve the same effect as CSCF power source. From the perspective of engineering applications, this improved method can greatly reduce the weight of aviation power generation system. It has a simple structure and can cut down the cost of power system operation and maintenance. Simulation results show that the method of dual excitation control presented in this paper is effective, and it also provides a new idea for the improvement in aviation power generation system.
- Published
- 2017
45. MODELING AND ANALYSIS OF 12-PULSE INVERTER IN SHIPBOARD OR AIRCRAFT.
- Author
-
Yanbo Che, Jinhuan Zhou, Guojian Liu, Jianmei Xu, and Yuancheng Zhao
- Subjects
ELECTRIC inverters ,DIRECT current in electric power distribution ,MARINE service ,OCEANOGRAPHIC research ships ,AIRPLANES ,PULSE circuits - Abstract
With the development of DC distribution system within the isolated power system of a ship or an aircraft, more constant frequency loads will be supplied by inverters connected to DC main bus. In the operating mode conversion process of an isolated power system, inverters will inevitably suffer from serious disturbance and affect the stability of the system. Therefore, it is important to establish a model of the inverter that reflects its dynamic characteristics and based on which to conduct the stability analysis. This paper proposes a 12-pulse inverter model based on the generalized state space averaging (GSSA) method. This model can overcome the limitations of 12-pulse inverter state space averaging (SSA) model in transient analysis with good accuracy and fast analysis ability effectively. Three kinds of models for a 12-pulse aircraft inverter are built in MATLAB, namely GSSA model, SSA model and detail device model. The simulation results show the high accuracy of GSSA model in stability analysis. This study provides an effective analytical tool for stability analysis of 12-pulse inverter and also provides a reference for inverter modeling research of isolated power system such as in aircraft or ship. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.