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  1. Article ; Online: Urban green and blue infrastructure: unveiling the spatiotemporal impact on carbon emissions in China's Yangtze River Delta.

    Zhang, Ruiwu / Ying, Jun / Zhang, Rongting / Zhang, Yiqi

    Environmental science and pollution research international

    2024  Volume 31, Issue 12, Page(s) 18512–18526

    Abstract: Blue-green infrastructure (BGI) plays a crucial role in regulating urban carbon cycles. Nonetheless, the spatiotemporal effect of BGI on carbon emissions has not received extensive attention. This study used the Yangtze River Delta (YRD) region as the ... ...

    Abstract Blue-green infrastructure (BGI) plays a crucial role in regulating urban carbon cycles. Nonetheless, the spatiotemporal effect of BGI on carbon emissions has not received extensive attention. This study used the Yangtze River Delta (YRD) region as the study area and quantified the landscape patterns of BGI. Using a spatiotemporal geographically weighted regression model, we analyzed the impact of evolving spatiotemporal characteristics of BGI on carbon emissions. Additionally, we constructed a spatiotemporal weight matrix using the Moran index ratio to examine the spillover effects of BGI among different regions. Our results show that the aggregation effect of carbon emissions in the YRD region is gradually increasing while BGI has a dynamic impact on carbon emissions. In terms of spatial and temporal spillovers, under the influence of economic connections between regions, patch fragmentation and distance exert a persistent positive influence on carbon emissions, while shape complexity has a negative impact, with area and layout characteristics showing no significant effects. However, area and patch distance have a persistent positive influence on carbon emissions in adjacent areas, while shape complexity exhibits a negative impact. Therefore, optimizing urban BGI through a regional synergistic governance system is important to promote low-carbon urban development.
    MeSH term(s) Rivers ; Carbon ; Carbon Cycle ; Spatial Regression ; China ; Economic Development
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2024-02-12
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-024-32360-8
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  2. Article ; Online: The relationship between C-reactive protein/albumin ratio and mortality in hypertensive patients: A national cohort study.

    Zhang, Rongting / Wang, Yani / Liao, Lihua / Liao, Ying / Fang, Yong / Shen, Yunli

    Nutrition, metabolism, and cardiovascular diseases : NMCD

    2024  

    Abstract: Background and aims: The impact of inflammation on the prognosis of hypertension has received some attention. The current study examined the association between C-reactive protein to albumin ratio (CAR), a novel indicator of inflammatory response, and ... ...

    Abstract Background and aims: The impact of inflammation on the prognosis of hypertension has received some attention. The current study examined the association between C-reactive protein to albumin ratio (CAR), a novel indicator of inflammatory response, and mortality in individuals with hypertension.
    Methods and results: A total of 9561 eligible individuals diagnosed with hypertension were included in the final analysis. CAR was calculated as ratio of C-reactive protein to serum albumin concentration. Patients were categorized into tertiles based on their baseline CAR levels. The Kaplan-Meier survival method was employed to compare the survival times of patients throughout the follow-up period. Multivariable analysis was conducted using the Cox proportional regression model. In the entire study population, 3262 (27%) experienced all-cause mortality. Patients in tertile 3 exhibited a higher risk of mortality (23% vs. 28% vs. 31%, P < 0.001) in comparison to those in the other tertiles. The findings from the multivariable Cox regression analysis demonstrated that when patients in tertile 1 were used as the reference group, the highest CAR tertile displayed a 60% increased risk of all-cause mortality (HR, 1.60 [95%CI, 1.23-2.09] P < 0.001).
    Conclusion: Among hypertensive patients, elevated CAR was found to be associated with an increased risk of all-cause mortality. Therefore, CAR might be used for risk stratification within this population, facilitating the implementation of closer follow-up and the optimization of treatment strategies.
    Language English
    Publishing date 2024-02-27
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1067704-5
    ISSN 1590-3729 ; 0939-4753
    ISSN (online) 1590-3729
    ISSN 0939-4753
    DOI 10.1016/j.numecd.2024.02.011
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  3. Article ; Online: The direction of integration surveying and mapping geographic information and artificial intelligence 2.0

    ZHANG Guangyun / ZHANG Rongting / DAI Qionghai / CHEN Jun / PAN Yunhe

    Acta Geodaetica et Cartographica Sinica, Vol 50, Iss 8, Pp 1096-

    2021  Volume 1108

    Abstract: In the artificial intelligence (AI) 2.0 era, based on the analysis of the development status of surveying and mapping geographic information, the driving force of promoting surveying and mapping geographic information to the era of intelligence 2.0 is ... ...

    Abstract In the artificial intelligence (AI) 2.0 era, based on the analysis of the development status of surveying and mapping geographic information, the driving force of promoting surveying and mapping geographic information to the era of intelligence 2.0 is studied, and the key tasks of building the surveying and mapping geographic information 2.0 era are proposed. In terms of basic theories, it is proposed that the breakthroughs of theories should be made in the twin environment of spatiotemporal big data, the knowledge graph of spatiotemporal information, the true three-dimensional deep neural network, the dynamic prediction and reasoning of spatiotemporal big data, etc. In terms of key technologies, the methods are emphasized, integrating the five intelligent technologies containing big data intelligence, cross-media intelligence, crowd intelligence, hybrid-augmented intelligence and autonomous unmanned system with surveying and mapping geographic information. In terms of platform, the important role and construction method of software and hardware platform of intelligent surveying and mapping geographic information are emphasized. At the end, taking the intelligent monitoring of natural resources and indoor-outdoor integrated intelligent navigation as a typical case, the practical application of related theories, technologies and platforms in surveying and mapping geographic information industry is analyzed. Through the discussion of this paper, the connotation, key content and path of the surveying and mapping geographic information enabled by AI are clarified, providing a kind of thinking for surveying and mapping geographic information industry to move towards the new era of intelligence 2.0.
    Keywords surveying and mapping geographic information ; new generation artificial intelligence ; intelligent natural resource management ; indoor and outdoor integrated intelligent navigation ; Mathematical geography. Cartography ; GA1-1776
    Subject code 401
    Language Chinese
    Publishing date 2021-08-01T00:00:00Z
    Publisher Surveying and Mapping Press
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: The relationship between serum creatinine/cystatin C ratio and mortality in hypertensive patients.

    Liao, Lihua / Shi, Shanshan / Ding, Bo / Zhang, Rongting / Tu, Jiabin / Zhao, Yukun / Guo, Qian / Liao, Ying

    Nutrition, metabolism, and cardiovascular diseases : NMCD

    2023  Volume 34, Issue 2, Page(s) 369–376

    Abstract: Background and aims: Sarcopenia is a disease characterized by loss of skeletal muscle mass and function that is closely associated with cardiovascular disease. The serum creatinine/cystatin C (Cr/CysC) ratio has been shown to be a simplified indicator ... ...

    Abstract Background and aims: Sarcopenia is a disease characterized by loss of skeletal muscle mass and function that is closely associated with cardiovascular disease. The serum creatinine/cystatin C (Cr/CysC) ratio has been shown to be a simplified indicator for identifying low muscle mass (LMM) or sarcopenia. The aim of this study was to investigate whether the Cr/CysC ratio helps to predict prognostic information in hypertensive patients.
    Methods and results: This cohort study included 2509 patients with hypertension from the National Health and Nutrition Survey 1999-2002. To evaluate the association between Cr/CysC ratio and mortality, we used Kaplan Meier estimates to calculate cumulative survival probabilities for all-cause mortality and cardiovascular mortality, Cox regression analyses, and hazard ratio (HR) and 95% confidence interval (CI) were calculated. Over a median follow-up of 11.76 years, lower Cr/CysC ratio was associated with lower risk of all-cause mortality (per 0.1 increase, HR:0.81, 95% CI: 0.77-0.85, P < 0.001) and cardiovascular mortality (per 0.1 increase, HR:0.80, 95% CI: 0.72-0.89, P < 0.001). Compared with patients with normal muscle mass, all-cause mortality, and cardiovascular mortality HR for patients with LMM diagnosed by Cr/CysC ratio were 1.57 (95% CI: 1.36-1.82, P < 0.001) and 1.64 (95% CI: 1.12-2.42, P = 0.012), respectively.
    Conclusion: We found that low muscle mass shown by lower Cr/CysC ratio was an independent risk factor for poor prognosis in hypertensive patients. We recommend routine screening of Cr/CysC ratio in hypertensive patients and early intervention for low muscle mass or sarcopenia.
    MeSH term(s) Humans ; Cardiovascular Diseases ; Cohort Studies ; Creatinine/metabolism ; Cystatin C ; Hypertension/diagnosis ; Sarcopenia/diagnosis
    Chemical Substances Creatinine (AYI8EX34EU) ; Cystatin C
    Language English
    Publishing date 2023-09-12
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1067704-5
    ISSN 1590-3729 ; 0939-4753
    ISSN (online) 1590-3729
    ISSN 0939-4753
    DOI 10.1016/j.numecd.2023.09.004
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    Zs.A 3149: Show issues Location:
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  5. Article ; Online: A New FPGA Architecture of FAST and BRIEF Algorithm for On-Board Corner Detection and Matching.

    Huang, Jingjin / Zhou, Guoqing / Zhou, Xiang / Zhang, Rongting

    Sensors (Basel, Switzerland)

    2018  Volume 18, Issue 4

    Abstract: Although some researchers have proposed the Field Programmable Gate Array (FPGA) architectures of Feature From Accelerated Segment Test (FAST) and Binary Robust Independent Elementary Features (BRIEF) algorithm, there is no consideration of image data ... ...

    Abstract Although some researchers have proposed the Field Programmable Gate Array (FPGA) architectures of Feature From Accelerated Segment Test (FAST) and Binary Robust Independent Elementary Features (BRIEF) algorithm, there is no consideration of image data storage in these traditional architectures that will result in no image data that can be reused by the follow-up algorithms. This paper proposes a new FPGA architecture that considers the reuse of sub-image data. In the proposed architecture, a remainder-based method is firstly designed for reading the sub-image, a FAST detector and a BRIEF descriptor are combined for corner detection and matching. Six pairs of satellite images with different textures, which are located in the Mentougou district, Beijing, China, are used to evaluate the performance of the proposed architecture. The Modelsim simulation results found that: (i) the proposed architecture is effective for sub-image reading from DDR3 at a minimum cost; (ii) the FPGA implementation is corrected and efficient for corner detection and matching, such as the average value of matching rate of natural areas and artificial areas are approximately 67% and 83%, respectively, which are close to PC's and the processing speed by FPGA is approximately 31 and 2.5 times faster than those by PC processing and by GPU processing, respectively.
    Language English
    Publishing date 2018-03-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s18041014
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  6. Article ; Online: Independent effects of the triglyceride-glucose index on all-cause mortality in critically ill patients with coronary heart disease: analysis of the MIMIC-III database.

    Zhang, Rongting / Shi, Shanshan / Chen, Weihua / Wang, Yani / Lin, Xueqin / Zhao, Yukun / Liao, Lihua / Guo, Qian / Zhang, Xiaoying / Li, Weiguo / Zhang, Kaijun / Liao, Ying / Fang, Yong

    Cardiovascular diabetology

    2023  Volume 22, Issue 1, Page(s) 10

    Abstract: Background: The triglyceride-glucose (TyG) index is a reliable alternative biomarker of insulin resistance (IR). However, whether the TyG index has prognostic value in critically ill patients with coronary heart disease (CHD) remains unclear.: Methods! ...

    Abstract Background: The triglyceride-glucose (TyG) index is a reliable alternative biomarker of insulin resistance (IR). However, whether the TyG index has prognostic value in critically ill patients with coronary heart disease (CHD) remains unclear.
    Methods: Participants from the Medical Information Mart for Intensive Care III (MIMIC-III) were grouped into quartiles according to the TyG index. The primary outcome was in-hospital all-cause mortality. Cox proportional hazards models were constructed to examine the association between TyG index and all-cause mortality in critically ill patients with CHD. A restricted cubic splines model was used to examine the associations between the TyG index and outcomes.
    Results: A total of 1,618 patients (65.14% men) were included. The hospital mortality and intensive care unit (ICU) mortality rate were 9.64% and 7.60%, respectively. Multivariable Cox proportional hazards analyses indicated that the TyG index was independently associated with an elevated risk of hospital mortality (HR, 1.71 [95% CI 1.25-2.33] P = 0.001) and ICU mortality (HR, 1.50 [95% CI 1.07-2.10] P = 0.019). The restricted cubic splines regression model revealed that the risk of hospital mortality and ICU mortality increased linearly with increasing TyG index (P for non-linearity = 0.467 and P for non-linearity = 0.764).
    Conclusions: The TyG index was a strong independent predictor of greater mortality in critically ill patients with CHD. Larger prospective studies are required to confirm these findings.
    MeSH term(s) Male ; Humans ; Female ; Critical Illness ; Critical Care ; Coronary Disease/diagnosis ; Glucose ; Triglycerides ; Blood Glucose ; Biomarkers ; Risk Factors
    Chemical Substances Glucose (IY9XDZ35W2) ; Triglycerides ; Blood Glucose ; Biomarkers
    Language English
    Publishing date 2023-01-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2093769-6
    ISSN 1475-2840 ; 1475-2840
    ISSN (online) 1475-2840
    ISSN 1475-2840
    DOI 10.1186/s12933-023-01737-3
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  7. Article ; Online: Association of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and acute kidney disease in patients undergoing coronary angiography: a cohort study.

    Ling, Yihang / He, Yibo / Guo, Wei / Zhang, Rongting / Zhao, Yukun / Yu, Sijia / Huang, Zhidong / Li, Qiang / Huang, Haozhang / Liu, Jin / Liu, Yong / Chen, Jiyan

    International urology and nephrology

    2023  Volume 55, Issue 8, Page(s) 2067–2073

    Abstract: Background: Acute kidney disease (AKD) following coronary angiography (CAG) indicates a higher risk of chronic kidney disease and follow-up cardiovascular comorbidities. However, the predictive risk factor of AKD is not clear. We sought to verify ... ...

    Abstract Background: Acute kidney disease (AKD) following coronary angiography (CAG) indicates a higher risk of chronic kidney disease and follow-up cardiovascular comorbidities. However, the predictive risk factor of AKD is not clear. We sought to verify whether preoperative N-terminal pro-B-type natriuretic peptide (NT-proBNP) level was associated with AKD in patients undergoing CAG.
    Method: We analyzed 7602 patients underwent CAG in this multi-center registry cohort study. Cardiorenal ImprovemeNt II (CIN-II) in five Chinese tertiary hospitals from 2007 to 2020. The primary outcome was AKD, defined as a ≥ 50% increase of serum creatinine within 7-90 days. Multivariable logistic regressions were used to assess the association between NT-proBNP and AKD.
    Result: 1009 patients (13.27%) eventually developed AKD, who were more likely to be female, older, and with comorbidities of chronic heart failure and anemia. After adjusting to the potential confounders, the NT-proBNP level remained an independent predictor of AKD (lnNT-proBNP OR: 1.20, 95% CI 1.13-1.28, p < 0.005). Restricted cubic spline analysis demonstrated a linear relationship between elevated NT-proBNP and AKD (p for trend < 0.001). In the subgroup analysis, elevated NT-proBNP level in patients with percutaneous coronary intervention (p for interaction < 0.001) or without previous congestive heart failure (p for interaction = 0.0346) has a more significant value of AKD prediction.
    Conclusion: Pre-operative NT-proBNP level was independently associated with the risk of AKD in patients following CAG. Perioperative strategies are warranted to prevent AKD in patients with elevated NT-proBNP levels.
    MeSH term(s) Humans ; Female ; Male ; Coronary Angiography ; Cohort Studies ; Natriuretic Peptide, Brain ; Biomarkers ; Peptide Fragments ; Kidney Diseases ; Heart Failure ; Acute Disease
    Chemical Substances pro-brain natriuretic peptide (1-76) ; Natriuretic Peptide, Brain (114471-18-0) ; Biomarkers ; Peptide Fragments
    Language English
    Publishing date 2023-02-23
    Publishing country Netherlands
    Document type Multicenter Study ; Journal Article
    ZDB-ID 204048-7
    ISSN 1573-2584 ; 0301-1623 ; 0042-1162
    ISSN (online) 1573-2584
    ISSN 0301-1623 ; 0042-1162
    DOI 10.1007/s11255-023-03491-7
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    Zs.A 733: Show issues Location:
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  8. Article ; Online: RPC-Based Orthorectification for Satellite Images Using FPGA.

    Zhang, Rongting / Zhou, Guoqing / Zhang, Guangyun / Zhou, Xiang / Huang, Jingjin

    Sensors (Basel, Switzerland)

    2018  Volume 18, Issue 8

    Abstract: Conventional rational polynomial coefficients (RPC)-based orthorectification methods are unable to satisfy the demands of timely responses to terrorist attacks and disaster rescue. To accelerate the orthorectification processing speed, we propose an on- ... ...

    Abstract Conventional rational polynomial coefficients (RPC)-based orthorectification methods are unable to satisfy the demands of timely responses to terrorist attacks and disaster rescue. To accelerate the orthorectification processing speed, we propose an on-board orthorectification method, i.e., a field-programmable gate array (FPGA)-based fixed-point (FP)-RPC orthorectification method. The proposed RPC algorithm is first modified using fixed-point arithmetic. Then, the FP-RPC algorithm is implemented using an FPGA chip. The proposed method is divided into three main modules: a reading parameters module, a coordinate transformation module, and an interpolation module. Two datasets are applied to validate the processing speed and accuracy that are achievable. Compared to the RPC method implemented using Matlab on a personal computer, the throughputs from the proposed method and the Matlab-based RPC method are 675.67 Mpixels/s and 61,070.24 pixels/s, respectively. This means that the proposed method is approximately 11,000 times faster than the Matlab-based RPC method to process the same satellite images. Moreover, the root-mean-square errors (RMSEs) of the row coordinate (Δ
    Language English
    Publishing date 2018-08-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s18082511
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  9. Article ; Online: Quantitative photoacoustic imaging of two-photon absorption.

    Bardsley, Patrick / Ren, Kui / Zhang, Rongting

    Journal of biomedical optics

    2016  Volume 23, Issue 1, Page(s) 1–11

    Abstract: Photoacoustic tomography (PAT) is a hybrid imaging modality where we intend to reconstruct optical properties of heterogeneous media from measured ultrasound signals generated by the photoacoustic effect. In recent years, there have been considerable ... ...

    Abstract Photoacoustic tomography (PAT) is a hybrid imaging modality where we intend to reconstruct optical properties of heterogeneous media from measured ultrasound signals generated by the photoacoustic effect. In recent years, there have been considerable interests in using PAT to image two-photon absorption, in addition to the usual single-photon absorption, inside diffusive media. We present a mathematical model for quantitative image reconstruction in two-photon photoacoustic tomography (TP-PAT). We propose a computational strategy for the reconstruction of the optical absorption coefficients and provide some numerical evidences based on synthetic photoacoustic acoustic data to demonstrate the feasibility of quantitative reconstructions in TP-PAT.
    MeSH term(s) Algorithms ; Computer Simulation ; Image Processing, Computer-Assisted ; Photoacoustic Techniques/methods ; Tomography, Optical/methods
    Language English
    Publishing date 2016-12-14
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1309154-2
    ISSN 1560-2281 ; 1083-3668
    ISSN (online) 1560-2281
    ISSN 1083-3668
    DOI 10.1117/1.JBO.23.1.016002
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  10. Article ; Online: Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients.

    Liao, Ying / Zhang, Rongting / Shi, Shanshan / Zhao, Yukun / He, Yibo / Liao, Lihua / Lin, Xueqin / Guo, Qian / Wang, Yani / Chen, Liling / Li, Weiguo / Li, Shihai / Chen, Kaihong / Fang, Yong

    Cardiovascular diabetology

    2022  Volume 21, Issue 1, Page(s) 128

    Abstract: Background: Triglyceride-glucose (TyG) index as a reliable surrogate of insulin resistance (IR) has been shown to be related to adverse clinical outcomes in patients with acute coronary syndrome, heart failure, ischemic stroke and so on. However, the ... ...

    Abstract Background: Triglyceride-glucose (TyG) index as a reliable surrogate of insulin resistance (IR) has been shown to be related to adverse clinical outcomes in patients with acute coronary syndrome, heart failure, ischemic stroke and so on. However, the relationship between TyG index and all-cause mortality in intensive care unit (ICU) patients remains unknown. The purpose of this study was to investigate the correlation between TyG index and all-cause mortality to evaluate the impact of IR on the prognosis of this population.
    Methods: This was a retrospective observational study that included 3026 patients who had an initial triglyceride and glucose data on the first day of ICU admission, and all data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. These patients were grouped into quartiles (Q1-Q4) according to TyG index. The Kaplan-Meier analysis was used to compare all-cause mortality among the above four groups. Cox proportional hazards analyses were performed to examine the association between TyG index and all-cause mortality.
    Results: During 10.46 years of follow-up, 1148 (37.9%) patients died, of which 350 (11.6%) occurred during the hospital stay and 258 (8.5%) occurred during the ICU stay. Kaplan-Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with higher TyG index (log-rank P = 0.021). Multivariable Cox proportional hazards analyses showed that the TyG index was an independent risk predictor of ICU death (HR: 1.72, 95% CI 1.18-2.52, P = 0.005) and hospital death (HR: 2.19, 95% CI 1.59-3.03, P < 0.001), and each 1-unit increased in the TyG index, a 1.19-fold increase in the risk of death during the hospital stay.
    Conclusions: TyG index is strongly related to the all-cause mortality increasing in critically ill patients. This finding indicates that the TyG index might be useful in identifying people at high risk of ICU death and hospital death.
    MeSH term(s) Biomarkers ; Blood Glucose/analysis ; Critical Illness ; Glucose ; Humans ; Insulin Resistance ; Risk Assessment ; Risk Factors ; Triglycerides
    Chemical Substances Biomarkers ; Blood Glucose ; Triglycerides ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2022-07-08
    Publishing country England
    Document type Journal Article ; Observational Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 2093769-6
    ISSN 1475-2840 ; 1475-2840
    ISSN (online) 1475-2840
    ISSN 1475-2840
    DOI 10.1186/s12933-022-01563-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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