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Article ; Online: An angle-based leak detection method using pressure sensors in water distribution networks

Huimin Yu / Hua Zhou / Xiaodan Weng / Zhihong Long / Yu Shao / Tingchao Yu

Aqua, Vol 72, Iss 12, Pp 2216-

2023 Volume 2228

Abstract: Leak detection has significant implications for the long-term stable operation of water distribution networks (WDNs). This study presented a novel leak detection method by calculating the angular variance between a pressure vector and other vectors in ... ...

Abstract	Leak detection has significant implications for the long-term stable operation of water distribution networks (WDNs). This study presented a novel leak detection method by calculating the angular variance between a pressure vector and other vectors in the database, to evaluate the presence of an anomaly in a network. The top priority for this method was to establish a reliable dataset collected from the pressure sensors, which is generated by EPANET 2.2. Numerous node water demand data in normal conditions were generated by the Monte Carlo method, and leak conditions with various leak flows were simulated by creating leak holes in the pipes. Through learning the composite normal and abnormal data in a certain proportion, the angle-based outlier detection model was employed to identify abnormal events. This angle-based method was applied in an actual WDN and the identification performance for anomalies was compared with that of previous detection methods. The results indicated that the novel method proposed in this study could significantly improve the accuracy and efficiency of leak detection compared to the threshold-based and distance-based detection methods. HIGHLIGHTS The proposed method for leak detection in the WDN combines the hydraulic model with outlier detection.; Numerous normal and leak scenarios are simulated by the hydraulic model to calculate residuals.; A clustering algorithm is used to determine the optimal locations of pressure sensors.; The performance of the proposed method is compared with the distance-based method in the literature.;
Keywords	angle-based algorithm ; hydraulic analysis ; leak detection ; leak flow rate ; leak simulation ; water distribution networks ; Environmental technology. Sanitary engineering ; TD1-1066 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	IWA Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Single-cell transcriptomic analysis reveals a novel cell state and switching genes during hepatic stellate cell activation in vitro.

Wang, Hua / Zheng, Shaoping / Jiang, Hongbo / Wang, Xuejia / Zhou, Fengqin / Weng, Zhihong

Journal of translational medicine

2022 Volume 20, Issue 1, Page(s) 53

Abstract: Background: The transformation of hepatic stellate cell (HSC) to myofibroblast is a key event during liver fibrogenesis. However, the differentiation trajectory of HSC-to-myofibroblast transition and the switching genes during this process remains not ... ...

Abstract	Background: The transformation of hepatic stellate cell (HSC) to myofibroblast is a key event during liver fibrogenesis. However, the differentiation trajectory of HSC-to-myofibroblast transition and the switching genes during this process remains not well understood. Methods: We applied single-cell sequencing data to reconstruct a single-lineage pseudotime trajectory of HSC transdifferentiation in vitro and analyzed the gene expression patterns along the trajectory. GeneSwitches was used to identify the order of critical gene expression and functional events during HSC activation. Results: A novel cell state during HSC activation was revealed and the HSCs belonging to this state may be an important origin of cancer-associated fibroblasts (CAFs). Combining single-cell transcriptomics with GeneSwitches analyses, we identified some distinct switching genes and the order at which these switches take place for the new state of HSC and the classic culture-activated HSC, respectively. Based on the top switching genes, we established a four-gene combination which exhibited highly diagnostic accuracy in predicting advanced liver fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) or hepatitis B (HBV). Conclusion: Our study revealed a novel cell state during HSC activation which may be relevant to CAFs, and identified switching genes that may play key roles in HSC transdifferentiation and serve as predictive markers of advanced fibrosis in patients with chronic liver diseases.
MeSH term(s)	Hepatic Stellate Cells/metabolism ; Humans ; Liver/pathology ; Liver Cirrhosis/genetics ; Liver Cirrhosis/metabolism ; Non-alcoholic Fatty Liver Disease/pathology ; Transcriptome/genetics
Language	English
Publishing date	2022-01-29
Publishing country	England
Document type	Journal Article
ZDB-ID	2118570-0
ISSN	1479-5876 ; 1479-5876
ISSN (online)	1479-5876
ISSN	1479-5876
DOI	10.1186/s12967-022-03263-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Single-cell transcriptomic analysis reveals a novel cell state and switching genes during hepatic stellate cell activation in vitro

Hua Wang / Shaoping Zheng / Hongbo Jiang / Xuejia Wang / Fengqin Zhou / Zhihong Weng

Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-

2022 Volume 13

Abstract: Abstract Background The transformation of hepatic stellate cell (HSC) to myofibroblast is a key event during liver fibrogenesis. However, the differentiation trajectory of HSC-to-myofibroblast transition and the switching genes during this process ... ...

Abstract	Abstract Background The transformation of hepatic stellate cell (HSC) to myofibroblast is a key event during liver fibrogenesis. However, the differentiation trajectory of HSC-to-myofibroblast transition and the switching genes during this process remains not well understood. Methods We applied single-cell sequencing data to reconstruct a single-lineage pseudotime trajectory of HSC transdifferentiation in vitro and analyzed the gene expression patterns along the trajectory. GeneSwitches was used to identify the order of critical gene expression and functional events during HSC activation. Results A novel cell state during HSC activation was revealed and the HSCs belonging to this state may be an important origin of cancer-associated fibroblasts (CAFs). Combining single-cell transcriptomics with GeneSwitches analyses, we identified some distinct switching genes and the order at which these switches take place for the new state of HSC and the classic culture-activated HSC, respectively. Based on the top switching genes, we established a four-gene combination which exhibited highly diagnostic accuracy in predicting advanced liver fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) or hepatitis B (HBV). Conclusion Our study revealed a novel cell state during HSC activation which may be relevant to CAFs, and identified switching genes that may play key roles in HSC transdifferentiation and serve as predictive markers of advanced fibrosis in patients with chronic liver diseases.
Keywords	Liver fibrosis ; Hepatic stellate cell ; Single-cell RNA sequencing ; Medicine ; R
Subject code	610
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
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Article ; Online: Inhibition of Mastermind-like 1 alleviates liver fibrosis induced by carbon tetrachloride in rats.

Zheng, Shaoping / Chen, Yixiong / Zheng, Shaojiang / He, Zhihui / Weng, Zhihong

Experimental biology and medicine (Maywood, N.J.)

2018 Volume 243, Issue 14, Page(s) 1099–1108

Language	English
Publishing date	2018-11-06
Publishing country	England
Document type	Journal Article
ZDB-ID	4015-0
ISSN	1535-3699 ; 1525-1373 ; 0037-9727
ISSN (online)	1535-3699 ; 1525-1373
ISSN	0037-9727
DOI	10.1177/1535370218810892
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Article: Association of Complement C3 with Clinical Deterioration Among Hospitalized Patients with COVID-19.

Jiang, Hongbo / Chen, Qiaosen / Zheng, Shaoping / Guo, Chunxia / Luo, Jinzhuo / Wang, Hua / Zheng, Xin / Weng, Zhihong

International journal of general medicine

2022 Volume 15, Page(s) 849–857

Abstract: Background: The role of the complement system in coronavirus disease 2019 (COVID-19) remains controversial. This study aimed to evaluate the relationship between serum complement C3 levels, clinical worsening, and risk of death in hospitalized patients ... ...

Abstract	Background: The role of the complement system in coronavirus disease 2019 (COVID-19) remains controversial. This study aimed to evaluate the relationship between serum complement C3 levels, clinical worsening, and risk of death in hospitalized patients with COVID-19. Methods: Data were collected from 216 adults with COVID-19 admitted to a designated clinical center in Wuhan Union Hospital (China) between February 13, 2020, and February 29, 2020. Their complement C3 levels were measured within 24 h of admission. The primary outcome was a clinical worsening of 2 points on a 6-point ordinal scale. The secondary outcome was all-causes of death. Inverse probability of treatment weighting (IPTW) analysis was conducted to adjust for the baseline confounders. Results: The median value of C3 was 0.89 (interquartile range, 0.78-1.01) g/L. Clinical worsening occurred in 12.3% (7/57) and 2.5% (4/159) of patients with baseline C3 levels < and ≥0.79 g/L, respectively (hazard ratio [HR], 5.22; 95% confidence interval [CI], 1.53-17.86). After IPTW adjustment, the risk for clinical worsening was 4-fold greater (weighted HR, 4.61; 95% CI, 1.16-18.4) in patients with C3 levels less than 0.79 g/L comparatively. The sensitivity analyses revealed the robustness of the results. No significant associations between C3 levels and death were observed on unadjusted (HR, 2.92; 95% CI, 0.73-11.69) and IPTW analyses (weighted HR, 3.78; 95% CI, 0.84-17.04). Conclusion: Low complement C3 levels are associated with a higher risk for clinical worsening among inpatients with COVID-19. The serum C3 levels may contribute to the identification of patient populations that could benefit from therapeutic complement inhibition.
Language	English
Publishing date	2022-01-26
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2452220-X
ISSN	1178-7074
ISSN	1178-7074
DOI	10.2147/IJGM.S348519
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Identification and validation of an epithelial mesenchymal transition-related gene pairs signature for prediction of overall survival in patients with skin cutaneous melanoma.

Shi, Yucang / Li, Zhanpeng / Zhou, Zhihong / Liao, Simu / Wu, Zhiyuan / Li, Jie / Yin, Jiasheng / Wang, Meng / Weng, Meilan

PeerJ

2022 Volume 10, Page(s) e12646

Abstract: Background: We aimed to construct a novel epithelial-mesenchymal transition (EMT)-related gene pairs (ERGPs) signature to predict overall survival (OS) in skin cutaneous melanoma (CM) patients.: Methods: Expression data of the relevant genes, ... ...

Abstract	Background: We aimed to construct a novel epithelial-mesenchymal transition (EMT)-related gene pairs (ERGPs) signature to predict overall survival (OS) in skin cutaneous melanoma (CM) patients. Methods: Expression data of the relevant genes, corresponding clinicopathological parameters, and follow-up data were obtained from The Cancer Genome Atlas database. Univariate Cox regression analysis was utilized to identify ERGPs significantly associated with OS, and LASSO analysis was used to identify the genes used for the construction of the ERGPs signature. The optimal cutoff value determined by the receiver operating characteristic curve was used to classify patients into high-risk and low-risk groups. Survival curves were generated using the Kaplan-Meier method, and differences between the two groups were estimated using the log-rank test. The independent external datasets GSE65904 and GSE19234 were used to verify the performance of the ERGPs signature using the area under the curve (AUC) values. In addition, we also integrated clinicopathological parameters and risk scores to develop a nomogram that can individually predict the prognosis of patients with CM. Results: A total of 104 ERGPs related to OS were obtained, of which 21 ERGPs were selected for the construction of the signature. All CM patients were stratified into high-and low-risk groups based on an optimal risk score cutoff value of 0.281. According to the Kaplan-Meier analysis, the mortality rate in the low-risk group was lower than that in the high-risk group in the TCGA cohort ( Conclusion: Our study established an ERGPs signature that could be potentially used in a clinical setting as a genetic biomarker for risk stratification of CM patients. In addition, the ERGPs signature could also predict which CM patients will benefit from PD-1 and PD-L1 inhibitors.
MeSH term(s)	Humans ; Melanoma/genetics ; Skin Neoplasms/genetics ; Epithelial-Mesenchymal Transition/genetics ; Risk Factors ; Melanoma, Cutaneous Malignant
Language	English
Publishing date	2022-01-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	2703241-3
ISSN	2167-8359
ISSN	2167-8359
DOI	10.7717/peerj.12646
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Article ; Online: Reversal effect of Jagged1 signaling inhibition on CCl4-induced hepatic fibrosis in rats.

Tang, Guiju / Weng, Zhihong / Song, Jun / Chen, Yixiong

Oncotarget

2017 Volume 8, Issue 37, Page(s) 60778–60788

Abstract: The role of the Notch ligand Jagged1 in hepatic fibrosis remains to be elucidated. In the current study, we investigated the role of Jagged1 in the activation of hepatic stellate cells (HSCs) and development of hepatic fibrosis in rats. ...

Abstract	The role of the Notch ligand Jagged1 in hepatic fibrosis remains to be elucidated. In the current study, we investigated the role of Jagged1 in the activation of hepatic stellate cells (HSCs) and development of hepatic fibrosis in rats.
Language	English
Publishing date	2017-09-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	2560162-3
ISSN	1949-2553 ; 1949-2553
ISSN (online)	1949-2553
ISSN	1949-2553
DOI	10.18632/oncotarget.18484
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Article: Atomically dispersed Pt sites on porous metal–organic frameworks to enable dual reaction mechanisms for enhanced photocatalytic hydrogen conversion

Zhang, Hao / Li, Qiuye / Li, Bowen / Weng, Bo / Tian, Zhihong / Yang, Jianjun / Hofkens, Johan / Lai, Feili / Liu, Tianxi

Journal of catalysis. 2022 Mar., v. 407

2022

Abstract: We report a porous metal–organic framework loaded with single Pt atoms, namely PCN-222(Pt) nanorods, which are prepared by the self-assembly of Pt-metalized tetrakis(4-carboxyphenyl)porphyrin ligand with a Zr₆ cluster. The mass-loading of Pt in the ... ...

Abstract	We report a porous metal–organic framework loaded with single Pt atoms, namely PCN-222(Pt) nanorods, which are prepared by the self-assembly of Pt-metalized tetrakis(4-carboxyphenyl)porphyrin ligand with a Zr₆ cluster. The mass-loading of Pt in the synthesized PCN-222(Pt) is up to 4.67%, and can be accurately controlled by using an in-situ reaction strategy. Remarkably, the PCN-222(Pt) exhibits a highly efficient photocatalytic hydrogen production rate of 614 μmol g⁻¹h⁻¹, which is 7.4 times higher than that of PCN-222 (an isostructural sample to PCN-222(Pt) without coordinated Pt ions in the porphyrin rings). The apparent quantum efficiency of PCN-222(Pt) reaches up to 1.049% at 420 nm. Electron paramagnetic resonance spectra confirm the as-formed intermediate Zrᴵᴵᴵ, obtained from the reduction of Zrᴵⱽ species, participates in the photocatalytic reaction. Density functional theory calculations demonstrate the positive role that single Pt atoms in PCN-222(Pt) play in optimizing the corresponding hydrogen binding energy. The existence of this dual reaction mechanism in PCN-222(Pt) greatly and synergistically boosts the photocatalytic H₂ production activity.
Keywords	coordination polymers ; density functional theory ; electron paramagnetic resonance spectroscopy ; energy ; hydrogen ; hydrogen production ; ligands ; nanorods ; photocatalysis ; porphyrins ; reaction mechanisms
Language	English
Dates of publication	2022-03
Size	p. 1-9.
Publishing place	Elsevier Inc.
Document type	Article
ZDB-ID	1468993-5
ISSN	1090-2694 ; 0021-9517
ISSN (online)	1090-2694
ISSN	0021-9517
DOI	10.1016/j.jcat.2022.01.017
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Identification and validation of an epithelial mesenchymal transition-related gene pairs signature for prediction of overall survival in patients with skin cutaneous melanoma

Yucang Shi / Zhanpeng Li / Zhihong Zhou / Simu Liao / Zhiyuan Wu / Jie Li / Jiasheng Yin / Meng Wang / Meilan Weng

PeerJ, Vol 10, p e

2022 Volume 12646

Abstract: Background We aimed to construct a novel epithelial-mesenchymal transition (EMT)-related gene pairs (ERGPs) signature to predict overall survival (OS) in skin cutaneous melanoma (CM) patients. Methods Expression data of the relevant genes, corresponding ... ...

Abstract	Background We aimed to construct a novel epithelial-mesenchymal transition (EMT)-related gene pairs (ERGPs) signature to predict overall survival (OS) in skin cutaneous melanoma (CM) patients. Methods Expression data of the relevant genes, corresponding clinicopathological parameters, and follow-up data were obtained from The Cancer Genome Atlas database. Univariate Cox regression analysis was utilized to identify ERGPs significantly associated with OS, and LASSO analysis was used to identify the genes used for the construction of the ERGPs signature. The optimal cutoff value determined by the receiver operating characteristic curve was used to classify patients into high-risk and low-risk groups. Survival curves were generated using the Kaplan–Meier method, and differences between the two groups were estimated using the log-rank test. The independent external datasets GSE65904 and GSE19234 were used to verify the performance of the ERGPs signature using the area under the curve (AUC) values. In addition, we also integrated clinicopathological parameters and risk scores to develop a nomogram that can individually predict the prognosis of patients with CM. Results A total of 104 ERGPs related to OS were obtained, of which 21 ERGPs were selected for the construction of the signature. All CM patients were stratified into high-and low-risk groups based on an optimal risk score cutoff value of 0.281. According to the Kaplan–Meier analysis, the mortality rate in the low-risk group was lower than that in the high-risk group in the TCGA cohort (P < 0.001), GSE65904 cohort (P = 0.006), and GSE19234 cohort (P = 0.002). Multivariate Cox regression analysis indicated that our ERGP signature was an independent risk factor for OS in CM patients in the three cohorts (for TCGA: HR, 2.560; 95% CI [1.907–3.436]; P < 0.001; for GSE65904: HR = 2.235, 95% CI [1.492–3.347], P < 0.001; for GSE19234: HR = 2.458, 95% CI [1.065–5.669], P = 0.035). The AUC value for predicting the 5-year survival rate of patients with CM of our ...
Keywords	Skin cutaneous melanoma ; EMT-related gene pairs ; Prognosis ; Nomogram ; Medicine ; R ; Biology (General) ; QH301-705.5
Subject code	610
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	PeerJ Inc.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Investigating the training model of clinical practice in emergency medicine.

Yao, Zao-Ji / Huang, Yan-Jing / Weng, Xiang-Wei / Lin, Zhi-Hong

Asian journal of surgery

2023 Volume 46, Issue 11, Page(s) 5399–5400

MeSH term(s)	Humans ; Internship and Residency ; Clinical Competence ; Emergency Medicine/education
Language	English
Publishing date	2023-08-01
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1068461-x
ISSN	0219-3108 ; 1015-9584
ISSN (online)	0219-3108
ISSN	1015-9584
DOI	10.1016/j.asjsur.2023.07.108
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