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Article ; Online: Whether including exotic species alters conservation prioritization: a case study in the Min River in southeastern China.

Lin, Li / Deng, Wei-De / Li, Jin-Tao / Kang, Bin

2023 Volume 104, Issue 2, Page(s) 450–462

Abstract: ... then a practical case study of conservation prioritization was performed in the Min River, the largest river ... in the west, northwest and north upstreams of the Min River. Values of FD in 64.69% of the basin decreased ...

Abstract	Conservation practices from the perspective of functional diversity (FD) and conservation prioritization need to account for the impacts of exotic species in freshwater ecosystems. This work first simulated the influence of exotic species on the values of FD in a schemed mechanistic model, and then a practical case study of conservation prioritization was performed in the Min River, the largest river in southeastern China, to discuss whether including exotic species alters prioritization. The mechanistic model revealed that exotic species significantly altered the expected FD if the number of exotic species occupied 2% of the community. Joint species distribution modelling indicated that the highest FD occurred in the west, northwest and north upstreams of the Min River. Values of FD in 64.69% of the basin decreased after the exotic species were removed from calculation. Conservation prioritization with the Zonation software proved that if first the habitats of exotic species were removed during prioritization, 62.75% of the highest prioritized areas were shifted, average species representation of the endemic species was improved and mean conservation efficiency was increased by 7.53%. Existence of exotic species will significantly alter the metrics of biodiversity and the solution for conservation prioritization, and negatively weighting exotic species in the scope of conservation prioritization is suggested to better protect endemic species. This work advocates a thorough estimate of the impacts of exotic species on FD and conservation prioritization, providing complementary evidence for conservation biology and valuable implications for local freshwater fish conservation.
MeSH term(s)	Animals ; Ecosystem ; Rivers ; Conservation of Natural Resources ; Biodiversity ; China
Language	English
Publishing date	2023-03-09
Publishing country	England
Document type	Journal Article
ZDB-ID	410564-3
ISSN	1095-8649 ; 0022-1112
ISSN (online)	1095-8649
ISSN	0022-1112
DOI	10.1111/jfb.15356
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Article ; Online: Effects of intravenous hydration in preventing post-contrast acute kidney injury in patients with eGFR < 30 mL/min/1.73 m

Yan, Ping / Duan, Shao-Bin / Luo, Xiao-Qin / Zhang, Ning-Ya / Deng, Ying-Hao

European radiology

2023 Volume 33, Issue 12, Page(s) 9434–9443

Abstract: ... outcomes in patients with estimated glomerular filtration rate (eGFR) < 30 mL/min/1.73 m: Methods ... Hospitalized patients with eGFR < 30 mL/min/1.73 m: Results: In total, 794 patients were included ... in-hospital mortality in patients with eGFR < 30 mL/min/1.73 m: Clinical relevance statement: This study provides new ...

Abstract	Objectives: To investigate the effects of intravenous hydration in preventing post-contrast outcomes in patients with estimated glomerular filtration rate (eGFR) < 30 mL/min/1.73 m Methods: Hospitalized patients with eGFR < 30 mL/min/1.73 m Results: In total, 794 patients were included in the study, with 284 receiving intravenous hydration, and 510 not. After 1:1 propensity score matching, 210 pairs were generated. No significant differences were found in the outcomes between the intravenous hydration and no intravenous hydration groups: PC-AKI by KDIGO, 25.2% vs 24.8% (odds ratio (OR), 0.93; 95% confidence interval (CI), 0.57-1.50); PC-AKI by ESUR, 31.0% vs 25.2% (OR, 1.34; 95% CI, 0.86-2.08); chronic dialysis at discharge, 4.3% vs 3.3% (OR, 1.56; 95% CI, 0.56-4.50); in-hospital mortality, 1.9% vs 0.5% (OR, 4.08; 95% CI, 0.58-81.08). Overlap propensity score-weighted analysis also showed no significant effects of intravenous hydration on the incidences of the post-contrast outcomes. Conclusions: Intravenous hydration was not associated with lower risks of PC-AKI, chronic dialysis at discharge, and in-hospital mortality in patients with eGFR < 30 mL/min/1.73 m Clinical relevance statement: This study provides new evidence in supporting that intravenous hydration is not beneficial to patients with eGFR < 30 mL/min/1.73 m Key points: • Intravenous hydration before and after intravenous administration of ICM is not associated with lower risks in PC-AKI, chronic dialysis at discharge, and in-hospital mortality in patients with eGFR < 30 mL/min/1.73 m
MeSH term(s)	Humans ; Glomerular Filtration Rate ; Contrast Media/adverse effects ; Acute Kidney Injury/chemically induced ; Acute Kidney Injury/prevention & control ; Acute Kidney Injury/drug therapy ; Administration, Intravenous ; Kidney ; Risk Factors ; Retrospective Studies
Chemical Substances	Contrast Media
Language	English
Publishing date	2023-06-27
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1085366-2
ISSN	1432-1084 ; 0938-7994 ; 1613-3749
ISSN (online)	1432-1084
ISSN	0938-7994 ; 1613-3749
DOI	10.1007/s00330-023-09858-9
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Article ; Online: Features and predictive value of 6-min walk test outcomes in interstitial lung disease: an observation study using wearable monitors.

Li, Jiaying / Li, Xiaoyan / Deng, Miaozhen / Liang, Xinyin / Wei, Huiqun / Wu, Xiaobing

BMJ open

2022 Volume 12, Issue 6, Page(s) e055077

Abstract: Objectives: To describe 6-min walk test (6MWT) outcomes, and to investigate their correlations ...

Abstract	Objectives: To describe 6-min walk test (6MWT) outcomes, and to investigate their correlations with cardiopulmonary and lung function among patients with interstitial lung disease (ILD) which was not limited to idiopathic pulmonary fibrosis. Methods: We collected patients' demographic data and obtained minute-by-minute 6MWT outcomes. Modified Borg scale was employed to assess patients' dyspnoea, whereas New York Heart Association (NYHA) classification and pulmonary function test were used to evaluate patients' cardiopulmonary functions. Results: Heart rate (HR) exhibited a continuous upward trend, while SpO Conclusion: This observation provided an important evidence regarding oxygen titration. It is better to maintain SpO
MeSH term(s)	Exercise Test ; Exercise Tolerance/physiology ; Humans ; Lung ; Lung Diseases, Interstitial/diagnosis ; Walk Test ; Walking/physiology ; Wearable Electronic Devices
Language	English
Publishing date	2022-06-15
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2599832-8
ISSN	2044-6055 ; 2044-6055
ISSN (online)	2044-6055
ISSN	2044-6055
DOI	10.1136/bmjopen-2021-055077
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Article ; Online: A Novel Gene Selection Method Based on Sparse Representation and Max-Relevance and Min-Redundancy.

Chen, Min / He, Xiaoming / Duan, ShaoBin / Deng, YingWei

Combinatorial chemistry & high throughput screening

2017 Volume 20, Issue 2, Page(s) 158–163

Abstract: Aim and objective: Gene selection method as an important data preprocessing work has been followed. The criteria Maximum relevance and minimum redundancy (MRMR) has been commonly used for gene selection, which has a satisfactory performance in ... ...

Abstract	Aim and objective: Gene selection method as an important data preprocessing work has been followed. The criteria Maximum relevance and minimum redundancy (MRMR) has been commonly used for gene selection, which has a satisfactory performance in evaluating the correlation between two genes. However, for viewing genes in isolation, it ignores the influence of other genes. Methods: In this study, we propose a new method based on sparse representation and MRMR algorithm (SRCMRM), using the sparse representation coefficient to represent the relevance of genes and correlation between genes and categories. The SRCMRMR algorithm contains two steps. Firstly, the genes irrelevant to the classification target are removed by using sparse representation coefficient. Secondly, sparse representation coefficient is used to calculate the correlation between genes and the most representative gene with the highest evaluation. Results: To validate the performance of the SRCMRM, our method is compared with various algorithms. The proposed method achieves better classification accuracy for all datasets. Conclusion: The effectiveness and stability of our method have been proven through various experiments, which means that our method has practical significance.
MeSH term(s)	Algorithms ; Animals ; Gene Expression Profiling ; Genetic Techniques ; Humans ; Microarray Analysis/methods ; Support Vector Machine
Language	English
Publishing date	2017
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2064785-2
ISSN	1875-5402 ; 1386-2073
ISSN (online)	1875-5402
ISSN	1386-2073
DOI	10.2174/1386207320666170126114051
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Article ; Online: Features and predictive value of 6-min walk test outcomes in interstitial lung disease

Jiaying Li / Xiaobing Wu / Xiaoyan Li / Miaozhen Deng / Xinyin Liang / Huiqun Wei

BMJ Open, Vol 12, Iss

an observation study using wearable monitors

2022 Volume 6

Keywords	Medicine ; R
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	BMJ Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Attribution Analysis of Runoff Change in Min-Tuo River Basin based on SWAT model simulations, China.

Hu, Jian / Ma, Jie / Nie, Chao / Xue, Lianqing / Zhang, Yang / Ni, Fuquan / Deng, Yu / Liu, Jinshan / Zhou, Dengke / Li, Linhuan / Wang, Zhigang

Scientific reports

2020 Volume 10, Issue 1, Page(s) 2900

Abstract: ... on runoff, we examined the changes and response mechanisms of runoff in the Min-Tuo River Basin, China ... to the runoff alteration in the Min-Tuo River Basin using the Budyko methods. The results suggested ... The aridity index and all the elasticities showed a spatial variations in the Min-Tuo River Basin ...

Abstract	To consummate watershed data and better quantify the impact of climate changes and human activities on runoff, we examined the changes and response mechanisms of runoff in the Min-Tuo River Basin, China. In the examination, the Soil and Water Assessment Tool (SWAT) model was used to simulate possible evapotranspiration, actual evapotranspiration, and runoff in 1980, 1990, 1995, 2000, 2005, 2010, and 2015 under different land-use conditions. SWAT weather generator was used to supplement the missing meteorological data. This study presents a quantitative analysis of the climatic and anthropogenic factors contributing to the runoff alteration in the Min-Tuo River Basin using the Budyko methods. The results suggested that the reduced precipitation was the main cause of runoff reduction. The contributions of precipitation, possible evapotranspiration, and underlying surface alterationsof runoff were 56.18%, 37.08%, and 6.74%, respectively. Sensitivity analysis indicated that the runoff alteration was most sensitive to changes of landscape parameters. The aridity index and all the elasticities showed a spatial variations in the Min-Tuo River Basin. The influence of the three factors on runoff reduction varied with seasons. During the high-flow period, changes of the precipitation and possible evapotranspiration and underlying surface had the greatest effect on runoff reduction, while changes of underlying surfaces had the least effect.
Language	English
Publishing date	2020-02-19
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-020-59659-z
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Article ; Online: Contribution-Factor based Fuzzy Min-Max Neural Network

Peixin Hou / Jiguang Yue / Hao Deng / Shuguang Liu / Qiang Sun

International Journal of Computational Intelligence Systems , Vol 11, Iss

Order-Dependent Clustering for Fuzzy System Identification

2018 Volume 1

Abstract: ... of clustering. A contribution-factor based fuzzy min-max neural network (CFMN) is developed based on Simpson’s ... well-known fuzzy min-max neural network (FMNN) for clustering. The contribution-factor (CF) is also ...

Abstract	This study addresses the construction of Takagi-Sugeno-Kang (TSK) fuzzy models by means of clustering. A contribution-factor based fuzzy min-max neural network (CFMN) is developed based on Simpson’s well-known fuzzy min-max neural network (FMNN) for clustering. The contribution-factor (CF) is also known as the typical pattern, and the membership threshold above which a pattern can be a CF of a cluster can be specified by the user. The stability issue is addressed and unnecessary overlaps in FMNN can be avoided. Furthermore, two considerations are combined in the clustering process to fully exploit the information in the data: 1) patterns (points) are generated in a sequence, so it’s reasonable to capture the order-dependent information of data, and 2) the clustering process shouldn’t be influenced too much by noisy data or outliers. As a result, CFMN can put most cluster centers in high-density regions of clusters without influence of the low-density regions. This feature is very important when clusters are used as fuzzy rules because the high-density region of some cluster can be interpreted as the most common part of that rule. Simulations are performed to illustrate the clustering behavior of CFMN and identification performance of the resulting fuzzy inference system (CFMN-FIS). It is shown that the proposed algorithm is fast to learn and has good prediction performance.
Keywords	fuzzy min-max neural network ; clustering ; adaptive resonance theory ; contribution-factor ; order-dependent ; fuzzy inference system ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2018-01-01T00:00:00Z
Publisher	Atlantis Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Contribution-Factor based Fuzzy Min-Max Neural Network

Peixin Hou / Jiguang Yue / Hao Deng / Shuguang Liu / Qiang Sun

International Journal of Computational Intelligence Systems, Vol 11, Iss

Order-Dependent Clustering for Fuzzy System Identification

2018 Volume 1

Abstract	This study addresses the construction of Takagi-Sugeno-Kang (TSK) fuzzy models by means of clustering. A contribution-factor based fuzzy min-max neural network (CFMN) is developed based on Simpson’s well-known fuzzy min-max neural network (FMNN) for clustering. The contribution-factor (CF) is also known as the typical pattern, and the membership threshold above which a pattern can be a CF of a cluster can be specified by the user. The stability issue is addressed and unnecessary overlaps in FMNN can be avoided. Furthermore, two considerations are combined in the clustering process to fully exploit the information in the data: 1) patterns (points) are generated in a sequence, so it’s reasonable to capture the order-dependent information of data, and 2) the clustering process shouldn’t be influenced too much by noisy data or outliers. As a result, CFMN can put most cluster centers in high-density regions of clusters without influence of the low-density regions. This feature is very important when clusters are used as fuzzy rules because the high-density region of some cluster can be interpreted as the most common part of that rule. Simulations are performed to illustrate the clustering behavior of CFMN and identification performance of the resulting fuzzy inference system (CFMN-FIS). It is shown that the proposed algorithm is fast to learn and has good prediction performance.
Keywords	fuzzy min-max neural network ; clustering ; adaptive resonance theory ; contribution-factor ; order-dependent ; fuzzy inference system ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2018-01-01T00:00:00Z
Publisher	Springer
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Climate Change and Species Invasion Drive Decadal Variation in Fish Fauna in the Min River, China

Deng, Weide / Lin, Li / Huang, Xiaoxia / Liao, Te-Yu / Kang, Bin

Water. 2020 May 29, v. 12, no. 6

2020

Abstract: ... The Min River, the largest river in Southeastern China, contains unique fish fauna for the Oriental realm ...

Abstract	Freshwater fishes are threatened by increasing environmental changes and human disturbances. The Min River, the largest river in Southeastern China, contains unique fish fauna for the Oriental realm. Due to environmental changes brought by forty years of economic growth, fish numbers have dramatically declined. The average taxonomic distinctness in the 1970s was significantly higher than that in 2015, while no significant differences were found in the variation in taxonomic distinctness between the two periods. Due to the river network and habitat diversity, fish fauna composition showed significant spatial differences but lower variation than the decadal variation. Precipitation was determined to be the most influential factor in determining the spatial pattern of fish fauna, followed by temperature. Species introduced for aquaculture have invaded the endemic fish community after escape and should be reconsidered in the trade-offs between economic development and ecological protection.
Keywords	anthropogenic activities ; aquaculture ; climate change ; economic development ; fauna ; fish communities ; freshwater fish ; habitats ; indigenous species ; rivers ; spatial variation ; temperature ; water ; China
Language	English
Dates of publication	2020-0529
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
Note	NAL-light
ZDB-ID	2521238-2
ISSN	2073-4441
ISSN	2073-4441
DOI	10.3390/w12061558
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: (Identity-based) dual receiver encryption from lattice-based programmable hash functions with high min-entropy

Yanyan Liu / Daode Zhang / Yi Deng / Bao Li

Cybersecurity, Vol 2, Iss 1, Pp 1-

2019 Volume 15

Abstract: ... weak lattice-based programmable hash functions (wLPHF) with high min-entropy (Crypto’16), we give ... by instantiating a concrete wLPHF with high min-entropy.For DRE notion in the identity-based setting, identity ... based DRE (IB-DRE), basing on lattice-based programmable hash functions (LPHF) with high min-entropy ...

Abstract	Abstract Dual receiver encryption (DRE) is an important cryptographic primitive introduced by Diament et al. at CCS’04, which allows two independent receivers to decrypt a same ciphertext to obtain the same plaintext. This primitive is quite useful in designing combined public key cryptosystems and denial of service attack-resilient protocols. In this paper, we obtain some results as follows. Using weak lattice-based programmable hash functions (wLPHF) with high min-entropy (Crypto’16), we give a generic IND-CCA secure DRE construction in the standard model. Furthermore, we get a concrete DRE scheme by instantiating a concrete wLPHF with high min-entropy.For DRE notion in the identity-based setting, identity-based DRE (IB-DRE), basing on lattice-based programmable hash functions (LPHF) with high min-entropy, we give a framework of IND-ID-CPA secure IB-DRE construction in the standard model. When instantiating with concrete LPHFs with high min-entropy, we obtain five concrete IB-DRE schemes.
Keywords	Dual receiver encryption ; Identity-based dual receiver encryption ; Lattice-based programmable hash functions with high min-entropy ; Computer engineering. Computer hardware ; TK7885-7895 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	005
Language	English
Publishing date	2019-06-01T00:00:00Z
Publisher	SpringerOpen
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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