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Article ; Online: Research Focuses and Evolution Trends of River Chief System

Fang Chen

Sustainability, Vol 15, Iss 21, p

A Review of Papers Published from 2009 to 2022

2023 Volume 15579

Abstract: This article presents a systematic review of studies of the River Chief System (RCS). It utilizes a dataset comprising 363 high-quality papers published between 2009 and 2022, sourced from the Web of Science and the China National Knowledge ... ...

Abstract	This article presents a systematic review of studies of the River Chief System (RCS). It utilizes a dataset comprising 363 high-quality papers published between 2009 and 2022, sourced from the Web of Science and the China National Knowledge Infrastructure (CNKI), as the foundation for analysis. The primary research method employed is a literature review. Additionally, CiteSpace bibliometric software (v6.2.R2) is used to perform keyword analysis of RCS research. The key research findings include the following points. Firstly, research into RCS has undergone two phases. Secondly, the review presents several points emergent in the literature that have been the focus of much study, including governance logics, theoretical foundations, operational mechanisms, policy effects, and current challenges. Furthermore, the author identifies key trends in the evolution of RCS, such as public participation, the utilization of information technology, and the implementation of the Lake Chief System, Forestry Chief System, and Field Chief System, as well as the construction of a rule of law. Finally, the author suggests that international comparative studies and an inquiry into long-term mechanisms for the implementation of the RCS are needed. This paper provides the first systematic review of the growing literature on RCS, based on papers written in both Chinese and English. It maps out key research points, identifies research trends, and provides a deeper understanding to guide future research.
Keywords	Chinese water governance policy ; environmental governance ; River Chief System ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Comparing Methods for Segmenting Supra-Glacial Lakes and Surface Features in the Mount Everest Region of the Himalayas Using Chinese GaoFen-3 SAR Images

Fang Chen

Remote Sensing, Vol 13, Iss 2429, p

2021 Volume 2429

Abstract: Glaciers and numerous glacial lakes that are produced by glacier melting are key indicators of climate change. Often overlooked, supra-glacial lakes develop in the melting area in the low-lying part of a glacier and appear to be highly variable in their ... ...

Abstract	Glaciers and numerous glacial lakes that are produced by glacier melting are key indicators of climate change. Often overlooked, supra-glacial lakes develop in the melting area in the low-lying part of a glacier and appear to be highly variable in their size, shape, and location. The lifespan of these lakes is thought to be quite transient, since the lakes may be completely filled by water and burst out within several weeks. Changes in supra-glacial lake outlines and other surface features such as supra-glacial rivers and crevasses on the glaciers are useful indicators for the direct monitoring of glacier changes. Synthetic aperture radar (SAR) is not affected by weather and climate, and is an effective tool for study of glaciated areas. The development of the Chinese GaoFen-3 (GF-3) SAR, which has high spatial and temporal resolution and high-precision observation performance, has made it possible to obtain dynamic information about glaciers in more detail. In this paper, the classical Canny operator, the variational B-spline level-set method, and U-Net-based deep-learning model were applied and compared to extract glacial lake outlines and other surface features using different modes and Chinese GF-3 SAR imagery in the Mount Everest Region of the Himalayas. Particularly, the U-Net-based deep-learning method, which was independent of auxiliary data and had a high degree of automation, was used for the first time in this context. The experimental results showed that the U-Net-based deep-learning model worked best in the segmentation of supra-glacial lakes in terms of accuracy (Precision = 98.45% and Recall = 95.82%) and segmentation efficiency, and was good at detecting small, elongated, and ice-covered supra-glacial lakes. We also found that it was useful for accurately identifying the location of supra-glacial streams and ice crevasses on glaciers, and quantifying their width. Finally, based on the time series of the mapping results, the spatial characteristics and temporal evolution of these features over the ...
Keywords	GF-3 ; supra-glacial lakes ; supra-glacial streams ; ice crevasses ; segmentation ; digital disaster reduction ; Science ; Q
Subject code	550
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Immune function status of postoperative patients with colon cancer for predicting liver metastasis.

Xiong, Le / Liu, Fang-Chen

World journal of gastrointestinal surgery

2024 Volume 16, Issue 2, Page(s) 463–470

Abstract: Background: Colon cancer (CC) has a high incidence rate. Radical resection is the main treatment method for CC; however, liver metastasis (LM) often occurs post-surgery. The liver contains both innate and adaptive immune cells that monitor and remove ... ...

Abstract	Background: Colon cancer (CC) has a high incidence rate. Radical resection is the main treatment method for CC; however, liver metastasis (LM) often occurs post-surgery. The liver contains both innate and adaptive immune cells that monitor and remove abnormal cells and pathogens. Before LM, tumor cells secrete cytokines and exosomes to adjust the immune microenvironment of the liver, thus forming an inhibitory immune microenvironment for colonization by circulating tumor cells. This indicates that the immune state of patients with CC plays a crucial role in the occurrence and progression of LM. Aim: To observe and analyze the relationship between immune status and expression of tumor factors in patients with LM of CC, and to provide a scientific intervention method for promoting the patient prognosis. Methods: A retrospective analysis was performed. The baseline data of 100 patients with CC and 100 patients with CC who suffered from postoperative LM and were admitted to our hospital from May 2021 to May 2023 were included in the non-occurrence and occurrence groups, respectively. The immune status of the patients and the expression of tumor factor-related indicators in the two groups were compared, and the predictive value of the indicators for postoperative LM in patients with CC was analyzed. Results: Compared with the non-occurrence group, the expression of serum carcinoembryonic antigen (CEA), CA19-9, CA242, CA72-4 and CA50 in patients in the occurrence group were significantly higher, while the expression of CD3+, CD4+, CD8+, natural killer (NK) and CD4+/CD25 in patients in the occurrence group were significantly lower ( Conclusion: The expression of tumor factors and immune state-related indices in patients with CC is closely associated with the occurrence of LM.
Language	English
Publishing date	2024-02-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	2573700-4
ISSN	1948-9366
ISSN	1948-9366
DOI	10.4240/wjgs.v16.i2.463
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The role of calmodulin and calmodulin-dependent protein kinases in the pathogenesis of atherosclerosis

Mei-Fang Chen

Tzu-Chi Medical Journal, Vol 34, Iss 2, Pp 160-

2022 Volume 168

Abstract: Atherosclerosis is a chronic inflammatory disease that triggers severe thrombotic cardiovascular events, such as stroke and myocardial infarction. In atherosclerotic processes, both macrophages and vascular smooth muscle cells (VSMCs) are essential cell ... ...

Abstract	Atherosclerosis is a chronic inflammatory disease that triggers severe thrombotic cardiovascular events, such as stroke and myocardial infarction. In atherosclerotic processes, both macrophages and vascular smooth muscle cells (VSMCs) are essential cell components in atheromata formation through proinflammatory cytokine secretion, defective efferocytosis, cell migration, and proliferation, primarily controlled by Ca2+-dependent signaling. Calmodulin (CaM), as a versatile Ca2+ sensor in diverse cell types, regulates a broad spectrum of Ca2+-dependent cell functions through the actions of downstream protein kinases. Thus, this review focuses on discussing how CaM and CaM-dependent kinases (CaMKs) regulate the functions of macrophages and VSMCs in atherosclerotic plaque development based on literature from open databases. A central theme in this review is a summary of the mechanisms and consequences underlying CaMK-mediated macrophage inflammation and apoptosis, which are the key processes in necrotic core formation in atherosclerosis. Another central theme is addressing the role of CaM and CaMK-dependent pathways in phenotypic modulation, migration, and proliferation of VSMCs in atherosclerotic progression. A complete understanding of CaM and CaMK-controlled individual processes involving macrophages and VSMCs in atherogenesis might provide helpful information for developing potential therapeutic targets and strategies.
Keywords	atherosclerosis ; calmodulin ; calmodulin-dependent kinases ; macrophages ; vascular smooth muscle cells ; Medicine ; R
Subject code	610
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SIRT3 enhances the protective effect of Xyloketal B on seizure‐induced brain injury by regulating AMPK/mTOR signaling‐mediated autophagy

Fen‐Fang Chen / Jian‐Feng Liu / Di‐Mi Zhou

Kaohsiung Journal of Medical Sciences, Vol 40, Iss 1, Pp 74-

2024 Volume 85

Abstract: Abstract Brain damage in children due to seizures is irreversible and has been a major public health concern. The herbal monomer Xyloketal B (Xyl‐B) can be used as a neuroprotective drug because of its antioxidant, antiapoptotic, and anti‐inflammatory ... ...

Abstract	Abstract Brain damage in children due to seizures is irreversible and has been a major public health concern. The herbal monomer Xyloketal B (Xyl‐B) can be used as a neuroprotective drug because of its antioxidant, antiapoptotic, and anti‐inflammatory effects but with few adverse effects. In this article, we constructed a rat developmental convulsion model and a primary hippocampal neuronal cell convulsion model, through which we studied hippocampal neuronal morphology and neuronal apoptosis using H&E staining and TUNEL staining, respectively. Moreover, we measured TNF‐α, IL‐6, and IL‐1β inflammatory factor levels using ELISA, MDA, and SOD kits. The expression of SIRT3 in hippocampal tissues was determined by qPCR and Western blotting. The expression of autophagy‐related proteins such as LC3, p62, and Beclin‐1 was evaluated by Western blotting or immunohistochemistry. The role of SIRT3 and autophagic activity with Xyl‐B in convulsive seizure‐induced brain injury was investigated by knocking down SIRT3 expression levels. Our results showed that Xyl‐B plays a neuroprotective role in convulsive seizure‐induced brain injury by increasing SIRT3 expression and activating the autophagy pathway. The regulatory role of SIRT3 in the autophagy pathway with Xyl‐B treatment was explored by knocking down SIRT3 expression and inhibiting autophagy. Our results revealed that SIRT3 enhances the protective effect of Xyl‐B against postconvulsive brain injury by regulating AMPK/mTOR signaling‐mediated autophagy.
Keywords	autophagy ; seizure‐induced brain injury ; SIRT3 ; Xyloketal B ; Medicine (General) ; R5-920
Subject code	616
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Automatic search for topological materials shifts paradigm.

Fang, Chen

National science review

2019 Volume 6, Issue 2, Page(s) 204–206

Language	English
Publishing date	2019-03-12
Publishing country	China
Document type	Journal Article
ZDB-ID	2745465-4
ISSN	2053-714X ; 2053-714X
ISSN (online)	2053-714X
ISSN	2053-714X
DOI	10.1093/nsr/nwz024
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A commentary on "Parathyroidectomy for primary hyperparathyroidism: effect on quality of life after 3 years - a prospective cohort study".

Tao, Yunwen / Xu, Changyan / Fang, Chen

International journal of surgery (London, England)

2024 Volume 110, Issue 2, Page(s) 1273–1274

MeSH term(s)	Humans ; Quality of Life ; Hyperparathyroidism, Primary/surgery ; Prospective Studies ; Parathyroidectomy ; Surveys and Questionnaires
Language	English
Publishing date	2024-02-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	2212038-5
ISSN	1743-9159 ; 1743-9191
ISSN (online)	1743-9159
ISSN	1743-9191
DOI	10.1097/JS9.0000000000000851
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Exploring Contrastive Representation for Weakly-Supervised Glacial Lake Extraction

Hang Zhao / Shuang Wang / Xuebin Liu / Fang Chen

Remote Sensing, Vol 15, Iss 1456, p

2023 Volume 1456

Abstract: Against the background of the ongoing atmospheric warming, the glacial lakes that are nourished and expanded in High Mountain Asia pose growing risks of glacial lake outburst floods (GLOFs) hazards and increasing threats to the downstream areas. ... ...

Abstract	Against the background of the ongoing atmospheric warming, the glacial lakes that are nourished and expanded in High Mountain Asia pose growing risks of glacial lake outburst floods (GLOFs) hazards and increasing threats to the downstream areas. Effectively extracting the area and consistently monitoring the dynamics of these lakes are of great significance in predicting and preventing GLOF events. To automatically extract the lake areas, many deep learning (DL) methods capable of capturing the multi-level features of lakes have been proposed in segmentation and classification tasks. However, the portability of these supervised DL methods need to be improved in order to be directly applied to different data sources, as they require laborious effort to collect the labeled lake masks. In this work, we proposed a simple glacial lake extraction model (SimGL) via weakly-supervised contrastive learning to extend and improve the extraction performances in cases that lack the labeled lake masks. In SimGL, a Siamese network was employed to learn similar objects by maximizing the similarity between the input image and its augmentations. Then, a simple Normalized Difference Water Index (NDWI) map was provided as the location cue instead of the labeled lake masks to constrain the model to capture the representations related to the glacial lakes and the segmentations to coincide with the true lake areas. Finally, the experimental results of the glacial lake extraction on the 1540 Landsat-8 image patches showed that our approach, SimGL, offers a competitive effort with some supervised methods (such as Random Forest) and outperforms other unsupervised image segmentation methods in cases that lack true image labels.
Keywords	glacial lake extraction ; Landsat-8 OLI ; weakly-supervised segmentation ; contrastive learning ; Science ; Q
Subject code	006
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset

Huicong Jia / Fang Chen / Enyu Du / Lei Wang

Remote Sensing, Vol 15, Iss 858, p

2023 Volume 858

Abstract: As drought vulnerability assessment is fundamental to risk management, it is urgent to develop scientific and reasonable assessment models to determine such vulnerability. A vulnerability curve is the key to risk assessment of various disasters, ... ...

Abstract	As drought vulnerability assessment is fundamental to risk management, it is urgent to develop scientific and reasonable assessment models to determine such vulnerability. A vulnerability curve is the key to risk assessment of various disasters, connecting analysis of hazard and risk. To date, the research on vulnerability curves of earthquakes, floods and typhoons is relatively mature. However, there are few studies on the drought vulnerability curve, and its application value needs to be further confirmed and popularized. In this study, on the basis of collecting historical disaster data from 52 drought events in China from 2009 to 2013, three drought remote sensing indexes were selected as disaster-causing factors; the affected population was selected to reflect the overall disaster situation, and five typical regional drought vulnerability curves were constructed. The results showed that (1) in general, according to the statistics of probability distribution, most of the normalized difference vegetation index (NDVI) and the temperature vegetation drought index (TVDI) variance ratios were concentrated between 0 and ~0.15, and most of the enhanced vegetation index (EVI) variance ratios were concentrated between 0.15 and ~0.6. From a regional perspective, the NDVI and EVI variance ratio values of the northwest inland perennial arid area (NW), the southwest mountainous area with successive years of drought (SW), and the Hunan Hubei Jiangxi area with sudden change from drought to waterlogging (HJ) regions were close and significantly higher than the TVDI variance ratio values. (2) Most of the losses (drought at-risk populations, DRP) were concentrated in 0~0.3, with a cumulative proportion of about 90.19%. At the significance level, DRP obeys the Weibull distribution through hypothesis testing, and the parameters are optimal. (3) The drought vulnerability curve conformed to the distribution rule of the logistic curve, and the line shape was the growth of the loss rate from 0 to 1. It was found that the arid and ...
Keywords	remote sensing index ; vulnerability curve ; drought risk ; historical disaster dataset ; China ; Science ; Q
Subject code	910
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatial Population Distribution Data Disaggregation Based on SDGSAT-1 Nighttime Light and Land Use Data Using Guilin, China, as an Example

Can Liu / Yu Chen / Yongming Wei / Fang Chen

Remote Sensing, Vol 15, Iss 2926, p

2023 Volume 2926

Abstract: A high-resolution population distribution map is crucial for numerous applications such as urban planning, disaster management, public health, and resource allocation, and it plays a pivotal role in evaluating and making decisions to achieve the UN ... ...

Abstract	A high-resolution population distribution map is crucial for numerous applications such as urban planning, disaster management, public health, and resource allocation, and it plays a pivotal role in evaluating and making decisions to achieve the UN Sustainable Development Goals (SDGs). Although there are many population products derived from remote sensing nighttime light (NTL) and other auxiliary data, they are limited by the coarse spatial resolution of NTL data. As a result, the outcomes’ spatial resolution is restricted, and it cannot meet the requirements of some applications. To address this limitation, this study employs the nighttime light data provided by the SDGSAT-1 satellite, which has a spatial resolution of 10 m, and land use data as auxiliary data to disaggregate the population distribution data from WorldPop data (100 m resolution) to a high resolution of 10 m. The case study conducted in Guilin, China, using the multi-class weighted dasymetric mapping method shows that the total error during the disaggregation is 0.63%, and the accuracy of 146 towns in the study area is represented by an R 2 of 0.99. In comparison to the WorldPop data, the result’s information entropy and spatial frequency increases by 345% and 1142%, respectively, which demonstrates the effectiveness of this approach in studying population distributions with high spatial resolution.
Keywords	population distribution ; SDGSAT-1 nighttime light data ; multi-class dasymetric mapping ; Guilin ; Science ; Q
Subject code	333
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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