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Article ; Online: Letter to the Editor: Concurrent large spontaneous portosystemic shunt embolization for the prevention of overt hepatic encephalopathy after TIPS: A randomized controlled trial.

Yin, Hong-Jing / Wan, Yue-Meng

2023 Volume 78, Issue 3, Page(s) E56–E57

MeSH term(s)	Humans ; Hepatic Encephalopathy/etiology ; Hepatic Encephalopathy/prevention & control ; Portasystemic Shunt, Transjugular Intrahepatic ; Esophageal and Gastric Varices ; Embolization, Therapeutic ; Treatment Outcome ; Liver Cirrhosis ; Gastrointestinal Hemorrhage/prevention & control
Language	English
Publishing date	2023-05-22
Publishing country	United States
Document type	Randomized Controlled Trial ; Journal Article ; Research Support, Non-U.S. Gov't ; Comment
ZDB-ID	604603-4
ISSN	1527-3350 ; 0270-9139
ISSN (online)	1527-3350
ISSN	0270-9139
DOI	10.1097/HEP.0000000000000476
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Article ; Online: Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control.

Zhang, Ying / Yue, Meng / Wang, Jianhui / Yoo, Shinjae

IEEE transactions on neural networks and learning systems

2024 Volume 35, Issue 3, Page(s) 3340–3350

Abstract: Grid emergency voltage control (GEVC) is paramount in electric power systems to improve voltage stability and prevent cascading outages and blackouts in case of contingencies. While most deep reinforcement learning (DRL)-based paradigms perform single ... ...

Abstract	Grid emergency voltage control (GEVC) is paramount in electric power systems to improve voltage stability and prevent cascading outages and blackouts in case of contingencies. While most deep reinforcement learning (DRL)-based paradigms perform single agents in a static environment, real-world agents for GEVC are expected to cooperate in a dynamically shifting grid. Moreover, due to high uncertainties from combinatory natures of various contingencies and load consumption, along with the complexity of dynamic grid operation, the data efficiency and control performance of the existing DRL-based methods are challenged. To address these limitations, we propose a multi-agent graph-attention (GATT)-based DRL algorithm for GEVC in multi-area power systems. We develop graph convolutional network (GCN)-based agents for feature representation of the graph-structured voltages to improve the decision accuracy in a data-efficient manner. Furthermore, a cutting-edge attention mechanism concentrates on effective information sharing among multiple agents, synergizing different-sized subnetworks in the grid for cooperative learning. We address several key challenges in the existing DRL-based GEVC approaches, including low scalability and poor stability against high uncertainties. Test results in the IEEE benchmark system verify the advantages of the proposed method over several recent multi-agent DRL-based algorithms.
Language	English
Publishing date	2024-02-29
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2023.3341334
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Article ; Online: Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network

Guanyao Lu / Dan Xu / Yue Meng

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract: In recent years, with the rise of artificial intelligence, deep neural network models have been used in various image recognition researches. Land desertification is a major environmental problem facing the world at present, and how to do a good job in ... ...

Abstract	In recent years, with the rise of artificial intelligence, deep neural network models have been used in various image recognition researches. Land desertification is a major environmental problem facing the world at present, and how to do a good job in dynamic monitoring is particularly important. For remote sensing images, this paper constructs a GA-PSO-BP analysis model based on BP neural network, genetic algorithm, and particle swarm algorithm and compares the classification training accuracies of the four models of BP, GA-BP, PSO-BP, and GA-PSO-BP; GA-PSO-BP was selected for dynamic analysis of desertification images, and the results showed the following: (1) By comparing the regional classification training accuracies of the four models of BP, GA-BP, PSO-BP, and GA-PSO-BP, the GA-PSO-BP neural network remote sensing image classification method proposed in this paper is simple and easy to operate. Compared with traditional remote sensing image classification methods and traditional neural network classification methods, the classification accuracy of remote sensing effects is improved. (2) Carrying out desertification analysis on remote sensing images of Horqin area, from 2010 to 2015, the desertified land area in the test area increased by 1.56 km2; from 2015 to 2020, the desertified land area in the test area decreased by 1.131 km2, and the desertified land in the test area from 2010 to 2020 showed a trend of increasing first and then decreasing, which is consistent with the actual situation. The GA-PSO-BP remote sensing image classification model has a good performance portability.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	006
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: On Approximating the Dynamic Response of Synchronous Generators via Operator Learning

Moya, Christian / Lin, Guang / Zhao, Tianqiao / Yue, Meng

A Step Towards Building Deep Operator-based Power Grid Simulators

2023

Abstract: This paper designs an Operator Learning framework to approximate the dynamic response of synchronous generators. One can use such a framework to (i) design a neural-based generator model that can interact with a numerical simulator of the rest of the ... ...

Abstract	This paper designs an Operator Learning framework to approximate the dynamic response of synchronous generators. One can use such a framework to (i) design a neural-based generator model that can interact with a numerical simulator of the rest of the power grid or (ii) shadow the generator's transient response. To this end, we design a data-driven Deep Operator Network~(DeepONet) that approximates the generators' infinite-dimensional solution operator. Then, we develop a DeepONet-based numerical scheme to simulate a given generator's dynamic response over a short/medium-term horizon. The proposed numerical scheme recursively employs the trained DeepONet to simulate the response for a given multi-dimensional input, which describes the interaction between the generator and the rest of the system. Furthermore, we develop a residual DeepONet numerical scheme that incorporates information from mathematical models of synchronous generators. We accompany this residual DeepONet scheme with an estimate for the prediction's cumulative error. We also design a data aggregation (DAgger) strategy that allows (i) employing supervised learning to train the proposed DeepONets and (ii) fine-tuning the DeepONet using aggregated training data that the DeepONet is likely to encounter during interactive simulations with other grid components. Finally, as a proof of concept, we demonstrate that the proposed DeepONet frameworks can effectively approximate the transient model of a synchronous generator.
Keywords	Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Mathematics - Dynamical Systems
Subject code	518
Publishing date	2023-01-29
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: “Enthusiastic Admiration Is the First Principle of Knowledge and Its Last”

Yue Meng-Lewis / Huiping Xian / Gavin Lewis / Yupei Zhao

SAGE Open, Vol

A Qualitative Study of Admiration for the Famous

2021 Volume 11

Abstract: The concept of fame has been associated with celebrities, wealth, attractiveness, and social recognition. Nevertheless, people have admiration for the famous who may not be celebrities. Admiration is regarded as one of the emotions of appreciation, or ... ...

Abstract	The concept of fame has been associated with celebrities, wealth, attractiveness, and social recognition. Nevertheless, people have admiration for the famous who may not be celebrities. Admiration is regarded as one of the emotions of appreciation, or moral emotions, triggered by positive appraisals of excellence. It is present when seeing extraordinary displays of skills talent or achievement. However, theoretical and empirical research on admiration and its psychological effects on people are scarce. In this article, we discuss a qualitative study that explores a collection of experiences of admiration for the famous. Based on 26 in-depth interviews with residents in southern England, we explored why people admire famous individuals and how the experience may produce positive attitudes and behaviors. We found that through admiring famous individuals who are perceived to share similar interests and attributes, people may develop positive thinking about their own lives and may be more active in seeking new opportunities or engaging in self-growth. We also discuss the potential problems of admiration. This exploratory research contributes to the literature of positive psychology and has implications for furthering the understanding of people’s well-being.
Keywords	History of scholarship and learning. The humanities ; AZ20-999 ; Social Sciences ; H
Subject code	390
Language	English
Publishing date	2021-04-01T00:00:00Z
Publisher	SAGE Publishing
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Net Carbon Sequestration Performance of Cropland Use in China’s Principal Grain-Producing Area

Haoyue Wu / Jin Tang / Hanjiao Huang / Wenkuan Chen / Yue Meng

Land, Vol 10, Iss 714, p

An Evaluation and Spatiotemporal Divergence

2021 Volume 714

Abstract: As cropland possess dual carbon effects of emitting and sequestering, giving full attention to its net carbon sequestration is an effective option for mitigating global warming. By analyzing the carbon cycle of a cropland use system, we develop an ... ...

Abstract	As cropland possess dual carbon effects of emitting and sequestering, giving full attention to its net carbon sequestration is an effective option for mitigating global warming. By analyzing the carbon cycle of a cropland use system, we develop an inventory for measuring the net carbon sequestration, covering four carbon sources, i.e., agricultural materials, rice fields, soils, straw burning, with the crop carbon sequestration considered. Different from conventional studies that have focused on quantity, in this study, we define net carbon sequestration performance of cropland use (NCSPC) as the ratio of actual net carbon sequestration to an optimal value per unit of cropland. We estimate the net carbon sequestration of cropland use, from 2000 to 2019, for the study area consisting of the 13 principal grain-producing provinces in China. Then, global-SBM is applied to measure the provincial NCSPC; furthermore, the Theil index and convergence test are employed to portray the spatiotemporal characteristics and regional divergence. The results show the following: (1) The net carbon sequestration was 3.837 t per hectare of cropland in the principal grain-producing area, of which the sequestration and the emission were 6.343 t and 2.506 t, respectively. The share of emissions, from largest to smallest, was methane from rice paddies, agricultural materials, straw burning, and soil nitrous oxide. Specifically, cropland use in Henan exhibited the strongest net carbon sequestration, whereas in Hunan it was the lowest. (2) The average NCSPC was 0.774 in the principal grain-producing area, indicating that 22.6% of the net carbon sequestration per unit of cropland remained to be explored under the corresponding production technology and input combinations. Temporally, the NCSPC had an annual change rate of −0.30%, displaying a slowly declining trend. Spatially, the NCSPC evolved from a scattered distribution to blocky agglomeration, eventually presenting a decreasing pattern from north to south. (3) First, the total Theil ...
Keywords	crop carbon sequestration ; carbon emission ; performance evaluation ; spatiotemporal characteristics ; global-SBM ; convergence test ; Agriculture ; S
Subject code	550
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Elective Transjugular Intrahepatic Portosystemic Shunt Using Viatorr Stent-Grafts: A Single-Center Experience from China.

Li, Yu-Hua / Wan, Yue-Meng / Wu, Hua-Mei / Huang, Song-Quan

Journal of the Belgian Society of Radiology

2022 Volume 106, Issue 1, Page(s) 62

Abstract: Background and aims: Transjugular intrahepatic portosystemic shunt (TIPS) is a well-established approach for the management of variceal bleeding, refractory ascites, hepatic hydrothorax, and preoperative treatment of portal hypertension prior to major ... ...

Abstract	Background and aims: Transjugular intrahepatic portosystemic shunt (TIPS) is a well-established approach for the management of variceal bleeding, refractory ascites, hepatic hydrothorax, and preoperative treatment of portal hypertension prior to major abdominal surgery in patients with compensated cirrhosis, and so on. This study aimed to investigate the safety and long-term efficacy of TIPS implantation using Viatorr TIPS stent-grafts. Material and methods: A cohort of 59 patients undergoing TIPS placement using Viatorr TIPS stent-grafts were included, and the periprocedural events, and long-term mortality, shunt dysfunction, variceal rebleeding and incidence of hepatic encephalopathy (HE) were analyzed. Results: The technical success rate was 100%. The median portosystemic pressure gradient was reduced from 21 mmHg (interquatile range: 19-25) to 13 mmHg (interquatile range: 10-16) before and after TIPS, leading to a hemodynamic success rate of 72.9%. The cumulative rate of overall mortality was 34.2% at five years, and direct bilirubin (hazard ratio [HR] = 1.336, 95% confidence interval [CI]: 1.050-1.700, P = 0.018) and post-TIPS right atrial pressure (HR = 1.238, 95% CI: 1.015-1.510, P = 0.035) were independent predictors for mortality. The cumulative rates of shunt dysfunction and variceal rebleeding were 11.0% and 28.3% at five years, respectively, and portal venous pressure gradient (HR = 2.572, 95% CI: 1.094-6.047, P = 0.030) was the only independent predictor for shunt dysfunction. The cumulative four-year HE-free rate was 48.6%. No severe adverse event was noted during TIPS procedures. Conclusion: Elective TIPS implantation using Viatorr TIPS stent-grafts is generally safe, and the long-term efficacy is favorable for the treatment of cirrhotic patients with recurrent variceal bleeding or refractory ascites.
Language	English
Publishing date	2022-06-29
Publishing country	England
Document type	Case Reports
ZDB-ID	2834839-4
ISSN	2514-8281
ISSN	2514-8281
DOI	10.5334/jbsr.2741
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Article: Unusual immunohistochemical "null" pattern of four mismatch repair proteins in gastric cancer: A case report.

Yue, Meng / Liu, Jun-Ying / Liu, Yue-Ping

World journal of clinical cases

2021 Volume 9, Issue 21, Page(s) 6102–6109

Abstract: Background: Immunohistochemical (IHC) staining for mismatch repair (MMR) proteins is useful for gastric cancer treatment and prognosis. Different IHC staining patterns reflect the complex biological phenomena underlying MMR deficiency. We herein report ... ...

Abstract	Background: Immunohistochemical (IHC) staining for mismatch repair (MMR) proteins is useful for gastric cancer treatment and prognosis. Different IHC staining patterns reflect the complex biological phenomena underlying MMR deficiency. We herein report a rare IHC staining pattern of four MMR-related proteins in gastric cancer. Case summary: A "null" IHC staining pattern of four MMR-related proteins, including MLH1, PMS2, MSH2, and MSH6, in a 67-year-old male patient with gastric cancer pT3N3aM0 revealed promoter hypermethylation of Conclusion: Abnormal MMR protein expression, helpful for individualized follow-up care, helped identify a sporadic case lacking familial clinical management implications.
Language	English
Publishing date	2021-07-21
Publishing country	United States
Document type	Case Reports
ISSN	2307-8960
ISSN	2307-8960
DOI	10.12998/wjcc.v9.i21.6102
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Article ; Online: Extracellular vesicles-derived microRNA-222 promotes immune escape via interacting with ATF3 to regulate AKT1 transcription in colorectal cancer.

Li, Shiquan / Yan, Guoqiang / Yue, Meng / Wang, Lei

BMC cancer

2021 Volume 21, Issue 1, Page(s) 349

Abstract: Background: Immunotherapy has been recently established as a new direction for the treatment of colorectal cancer (CRC), a gastrointestinal cancer. In this investigation, we aimed to expound how the posttranscriptional regulation modulated by microRNA- ... ...

Abstract	Background: Immunotherapy has been recently established as a new direction for the treatment of colorectal cancer (CRC), a gastrointestinal cancer. In this investigation, we aimed to expound how the posttranscriptional regulation modulated by microRNA-222 (miR-222) from mesenchymal stem cells-derived extracellular vesicles (MSC-EVs) affected the AKT pathway and the immune escape in CRC. Methods: CRC cell malignant phenotype, including proliferation, migration, invasion, and apoptosis, was firstly detected after co-culture with MSC-EVs. miRNAs with differential changes in CRC cells before and after EVs treatment were filtered by microarray analysis. miR-222 was then downregulated to examine its role in CRC cells in response to EVs. Cells were implanted in mice to induce xenograft tumors, and infiltrating T cells was assessed by immunohistochemistry. The mRNA microarray was used to screen target genes, followed by rescue experiments. ChIP and western blot were conducted to validate the downstream biomolecule of ATF3. Results: After treatment of CRC cells with MSC-EVs, the expression of miR-222 was upregulated, and cell activity was increased. Inhibition of miR-222 decreased CRC malignant aggressiveness in vitro and reduced tumorigenesis and immune escape in vivo. miR-222 targeted and bound to ATF3. Downregulation of ATF3 enhanced CRC cell malignant aggressiveness, tumorigenic capacity and immune escape. Mechanistically, ATF3 inhibited AKT1 transcription and mediated the AKT pathway. Conclusion: MSC-EVs carry miR-222 to promote CRC cell malignant aggressiveness and immune escape. miR-222 targets and binds to ATF3, which inhibits AKT1 transcriptional activity and thereby mediates the AKT pathway.
MeSH term(s)	Activating Transcription Factor 3/genetics ; Activating Transcription Factor 3/metabolism ; Animals ; Apoptosis/physiology ; Cell Line, Tumor ; Cell Proliferation/physiology ; Colorectal Neoplasms/genetics ; Colorectal Neoplasms/metabolism ; Colorectal Neoplasms/pathology ; Colorectal Neoplasms/therapy ; Female ; Humans ; Immunotherapy ; Mice ; Mice, Nude ; MicroRNAs/genetics ; MicroRNAs/metabolism ; Proto-Oncogene Proteins c-akt/genetics ; Proto-Oncogene Proteins c-akt/metabolism
Chemical Substances	ATF3 protein, human ; Activating Transcription Factor 3 ; MIRN222 microRNA, human ; MicroRNAs ; AKT1 protein, human (EC 2.7.11.1) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1)
Language	English
Publishing date	2021-04-01
Publishing country	England
Document type	Journal Article
ISSN	1471-2407
ISSN (online)	1471-2407
DOI	10.1186/s12885-021-08063-5
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Article ; Online: FOSL1 promotes tumorigenesis in colorectal carcinoma by mediating the FBXL2/Wnt/β-catenin axis via Smurf1.

Liu, Yi / Yue, Meng / Li, Ze

Pharmacological research

2021 Volume 165, Page(s) 105405

Abstract: Colorectal carcinoma (CC), one of the most prevalent digestive cancers with high mortality and morbidity globally, still lacks powerful therapies to improve the prognosis. Here, we established that the expression of fos-like antigen-1 (Fosl1) was ... ...

Abstract	Colorectal carcinoma (CC), one of the most prevalent digestive cancers with high mortality and morbidity globally, still lacks powerful therapies to improve the prognosis. Here, we established that the expression of fos-like antigen-1 (Fosl1) was elevated in CC tissues versus adjacent tissues. Importantly, high Fosl1 expression was related to dismal prognosis among CC patients. Functional assays displayed that Fosl1 increased the viability, epithelial-to-mesenchymal transition (EMT), migration and invasion of CC cells. Additionally, a xenograft assay showed that silencing of Fosl1 in CC cells retarded lung, liver and kidney metastases in vivo. Further investigation demonstrated that Fosl1 was involved in malignant aggressiveness of CC cells by binding to smad ubiquitination regulatory factor 1 (Smurf1). Mechanistically, Smurf1-induced F-Box and leucine rich repeat protein 2 (FBXL2) ubiquitination resulted in its degradation, while FBXL2 disrupted the activation of the Wnt/β-catenin signaling. In summary, Fosl1 plays a pro-metastatic and carcinogenetic role in CC, and we provided forceful evidence that Fosl1 inhibition might act as a prognostic and therapeutic option in CC.
MeSH term(s)	Animals ; Blotting, Western ; Cells, Cultured ; Chromatin Immunoprecipitation ; Colorectal Neoplasms/metabolism ; F-Box Proteins/metabolism ; Female ; Humans ; Male ; Mice, Inbred NOD ; Mice, Inbred Strains ; Middle Aged ; Neoplasm Transplantation ; Proto-Oncogene Proteins c-fos/metabolism ; Real-Time Polymerase Chain Reaction ; Wnt Signaling Pathway ; Mice
Chemical Substances	F-Box Proteins ; FBXL2 protein, human ; Proto-Oncogene Proteins c-fos ; fos-related antigen 1
Language	English
Publishing date	2021-01-12
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1003347-6
ISSN	1096-1186 ; 0031-6989 ; 1043-6618
ISSN (online)	1096-1186
ISSN	0031-6989 ; 1043-6618
DOI	10.1016/j.phrs.2020.105405
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