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Article ; Online: Vitamin C as a treatment for organ failure in sepsis

Zitong Wang / Liang Liu / Lixia Liu

European Journal of Medical Research, Vol 28, Iss 1, Pp 1-

2023 Volume 9

Abstract: Abstract Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection, with a high morbidity and mortality rate. Exogenous vitamin C supplementation is a potential therapeutic option for the treatment of ... ...

Abstract	Abstract Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection, with a high morbidity and mortality rate. Exogenous vitamin C supplementation is a potential therapeutic option for the treatment of multi-organ dysfunction in sepsis due to the significantly lower levels of vitamin C in the circulating blood of sepsis patients compared to healthy subjects and the importance of vitamin C in many of the physiological processes of sepsis. Vitamin C may influence the function of numerous organs and systems, including the heart, lungs, kidneys, brain, and immune defences, by reducing oxidative stress, inhibiting inflammatory factor surges, regulating the synthesis of various mediators and hormones, and enhancing immune cell function. With the development of multiple clinical randomized controlled trials, the outcomes of vitamin C treatment for critically ill patients have been discussed anew. This review's objectives are to provide an overview of how vitamin C affects various organ functions in sepsis and to illustrate how it affects each organ. Understanding the pharmacological mechanism of vitamin C and the organ damage caused by sepsis may help to clarify the conditions and clinical applications of vitamin C.
Keywords	Vitamin C ; Sepsis ; Organ failure ; Pathogenesis ; Pharmacological mechanism ; Medicine ; R
Subject code	610
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Identifying hub genes of sepsis-associated and hepatic encephalopathies based on bioinformatic analysis—focus on the two common encephalopathies of septic cirrhotic patients in ICU

Juan Li / Dong Yang / Shengmei Ge / Lixia Liu / Yan Huo / Zhenjie Hu

BMC Medical Genomics, Vol 17, Iss 1, Pp 1-

2024 Volume 14

Abstract: Abstract Background In the ICU ward, septic cirrhotic patients are susceptible to suffering from sepsis-associated encephalopathy and/or hepatic encephalopathy, which are two common neurological complications in such patients. However, the mutual ... ...

Abstract	Abstract Background In the ICU ward, septic cirrhotic patients are susceptible to suffering from sepsis-associated encephalopathy and/or hepatic encephalopathy, which are two common neurological complications in such patients. However, the mutual pathogenesis between sepsis-associated and hepatic encephalopathies remains unclear. We aimed to identify the mutual hub genes, explore effective diagnostic biomarkers and therapeutic targets for the two common encephalopathies and provide novel, promising insights into the clinical management of such septic cirrhotic patients. Methods The precious human post-mortem cerebral tissues were deprived of the GSE135838, GSE57193, and GSE41919 datasets, downloaded from the Gene Expression Omnibus database. Furthermore, we identified differentially expressed genes and screened hub genes with weighted gene co-expression network analysis. The hub genes were then subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway functional enrichment analyses, and protein-protein interaction networks were constructed. Receiver operating characteristic curves and correlation analyses were set up for the hub genes. Finally, we explored principal and common signaling pathways by using Gene Set Enrichment Analysis and the association between the hub genes and immune cell subtype distribution by using CIBERSORT algorithm. Results We identified seven hub genes—GPR4, SOCS3, BAG3, ZFP36, CDKN1A, ADAMTS9, and GADD45B—by using differentially expressed gene analysis and weighted gene co-expression network analysis method. The AUCs of these genes were all greater than 0.7 in the receiver operating characteristic curves analysis. The Gene Set Enrichment Analysis results demonstrated that mutual signaling pathways were mainly enriched in hypoxia and inflammatory response. CIBERSORT indicated that these seven hub genes were closely related to innate and adaptive immune cells. Conclusions We identified seven hub genes with promising diagnostic value and therapeutic targets in septic ...
Keywords	ICU ; Septic cirrhotic patients ; Sepsis-associated encephalopathy ; Hepatic encephalopathy ; Bioinformatic analysis ; Autopsy human brain tissue ; Internal medicine ; RC31-1245 ; Genetics ; QH426-470
Subject code	610
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Incidence and risk factors of acute kidney injury in patients with malignant tumors: a systematic review and meta-analysis.

Can, Wang / Rong, Li / Lixia, Liu

BMC cancer

2023 Volume 23, Issue 1, Page(s) 1123

Abstract: Background: There are significant differences in the incidence and risk factors of tumor patients, and there is no relevant statistical data. Therefore, this study aims to clarify the incidence and risk factors of acute kidney injury (AKI) in malignant ... ...

Abstract	Background: There are significant differences in the incidence and risk factors of tumor patients, and there is no relevant statistical data. Therefore, this study aims to clarify the incidence and risk factors of acute kidney injury (AKI) in malignant tumor patients and compare critically ill patients with non-critically ill patients. Methods: Relevant literature on the occurrence of AKI in malignant tumors was retrieved from databases. Two authors independently screened and evaluated the eligibility and quality of the literature and extracted the data. The Stata 12.0 software was used for meta-analysis. Results: A total of 3922 articles were initially retrieved, and 24 articles were finally included, 8 of which were about critically ill malignant tumor patients, and 16 were about malignant tumor patients. Among the 4107 patients included in the 8 studies on critically ill malignant tumors, 1932 developed AKI, with an incidence rate of 52% (95%CI 34-70%, I2 = 99%). The risk factors for AKI in critically ill malignant tumor patients were sepsis and hypovolemia, which were different from those in non-critically ill patients. Among the 292,874 patients included in the 16 studies on malignant tumors, 51,211 developed AKI, and the combined incidence rate was 24% (95%CI 17-30%, I2 = 100%). The risk factors for AKI in critical malignant tumor patients were sepsis and hypovolemia. Conclusion: This meta-analysis shows that the incidence of AKI in critically ill malignant tumor patients is consistent with that in other critically ill patients, and independent risk factors are sepsis and hypovolemia. The incidence of AKI in malignant tumor patients is higher than that in other patients, and tumor is a risk factor for AKI. This study has been registered in INPLASY (INPLASY202320079),Registered February 18,2023.
MeSH term(s)	Humans ; Intensive Care Units ; Incidence ; Critical Illness ; Retrospective Studies ; Hypovolemia ; Sepsis ; Acute Kidney Injury/epidemiology ; Acute Kidney Injury/etiology ; Risk Factors ; Neoplasms/complications ; Neoplasms/epidemiology
Language	English
Publishing date	2023-11-17
Publishing country	England
Document type	Meta-Analysis ; Systematic Review ; Journal Article
ZDB-ID	2041352-X
ISSN	1471-2407 ; 1471-2407
ISSN (online)	1471-2407
ISSN	1471-2407
DOI	10.1186/s12885-023-11561-3
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Analysis of Financing Efficiency of Chinese Agricultural Listed Companies Based on Machine Learning

Lixia Liu / Xueli Zhan

Complexity, Vol

2019 Volume 2019

Abstract: Agricultural enterprises play a significant role in China’s economic development. However, compared with other enterprises, agricultural enterprises are facing serious financial problems. Financing difficulty is essentially a question of financing ... ...

Abstract	Agricultural enterprises play a significant role in China’s economic development. However, compared with other enterprises, agricultural enterprises are facing serious financial problems. Financing difficulty is essentially a question of financing efficiency. Based on the DEA method, this paper evaluates the financing efficiency of 39 agricultural listed companies in China from 2013 to 2017. The results suggest that the financing efficiency is generally low, and the Total Factor Productivity of agricultural enterprises’ financing has a tendency to decrease first and then increase. The influencing factors of financing efficiency are analyzed using the Tobit regression model and the random forest regression model. And we find the following: (1) The random forest regression model significantly outperformed the Tobit regression model, with determination coefficients (R2) greater than 0.9 in full sample sets. (2) Total liability, financial expenses, return on total assets, and inventory turnover rate are important factors affecting financing efficiency of agricultural listed companies. (3) Return on total assets and inventory turnover rate promote the financing efficiency, while total liability and financial expenses reduce financing efficiency. Finally, the paper makes some suggestions for the financing of agricultural enterprises.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	338
Language	English
Publishing date	2019-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A New Extension of the Generalized Half Logistic Distribution with Applications to Real Data

Mustapha Muhammad / Lixia Liu

Entropy, Vol 21, Iss 4, p

2019 Volume 339

Abstract: In this paper, we introduced a new three-parameter probability model called Poisson generalized half logistic (PoiGHL). The new model possesses an increasing, decreasing, unimodal and bathtub failure rates depending on the parameters. The relationship of ...

Abstract	In this paper, we introduced a new three-parameter probability model called Poisson generalized half logistic (PoiGHL). The new model possesses an increasing, decreasing, unimodal and bathtub failure rates depending on the parameters. The relationship of PoiGHL with the exponentiated Weibull Poisson (EWP), Poisson exponentiated Erlang-truncated exponential (PEETE), and Poisson generalized Gompertz (PGG) model is discussed. We also characterized the PoiGHL sub model, i.e the half logistic Poisson (HLP), based on certain functions of a random variable by truncated moments. Several mathematical and statistical properties of the PoiGHL are investigated such as moments, mean deviations, Bonferroni and Lorenz curves, order statistics, Shannon and Renyi entropy, Kullback-Leibler divergence, moments of residual life, and probability weighted moments. Estimation of the model parameters was achieved by maximum likelihood technique and assessed by simulation studies. The stress-strength analysis was discussed in detail based on maximum likelihood estimation (MLE), we derived the asymptotic confidence interval of <math display="inline"> <semantics> <mrow> <mi>R</mi> <mo>=</mo> <mi>P</mi> <mo>(</mo> <msub> <mi>X</mi> <mn>1</mn> </msub> <mo><</mo> <msub> <mi>X</mi> <mn>2</mn> </msub> <mo>)</mo> </mrow> </semantics> </math> based on the MLEs, and examine by simulation studies. In three applications to real data set PoiGHL provided better fit and outperform some other popular distributions. In the stress-strength parameter estimation PoiGHL model illustrated as a reliable choice in reliability analysis as shown using two real data set.
Keywords	generalized half logistic model ; moments ; maximum likelihood estimation ; Shannon entropy ; Renyi entropy ; Kullback-Leibler divergence ; stress-strength reliability analysis ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
Subject code	310
Language	English
Publishing date	2019-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion

Lixia Liu / Yuchao Zhu / Shubing Guo

Complexity, Vol

2020 Volume 2020

Abstract: Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game ... ...

Abstract	Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders. The impact of innovation subsidies, carbon taxes, and adoption subsidies on low-carbon agricultural innovation diffusion is simulated using Matlab software. The results show that the government’s reasonable subsidies and carbon taxes for agricultural enterprises and farmers can increase the enthusiasm of agricultural enterprises and farmers to participate in low-carbon agriculture. This study can be used as a basis for the government to formulate more targeted policies to promote the diffusion of low-carbon agricultural innovation.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	333
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: M-Eigenvalues-Based Sufficient Conditions for the Positive Definiteness of Fourth-Order Partially Symmetric Tensors

Gang Wang / Linxuan Sun / Lixia Liu

Complexity, Vol

2020 Volume 2020

Abstract: M-eigenvalues of fourth-order partially symmetric tensors play important roles in the nonlinear elastic material analysis and the entanglement problem of quantum physics. In this paper, we introduce M-identity tensor and establish two M-eigenvalue ... ...

Abstract	M-eigenvalues of fourth-order partially symmetric tensors play important roles in the nonlinear elastic material analysis and the entanglement problem of quantum physics. In this paper, we introduce M-identity tensor and establish two M-eigenvalue inclusion intervals with n parameters for fourth-order partially symmetric tensors, which are sharper than some existing results. Numerical examples are proposed to verify the efficiency of the obtained results. As applications, we provide some checkable sufficient conditions for the positive definiteness and establish bound estimations for the M-spectral radius of fourth-order partially symmetric nonnegative tensors.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Evolution of Collective Strategies in SMEs’ Innovation

Lixia Liu / Yuanshi Huang / Xueli Zhan

Complexity, Vol

A Tripartite Game Analysis and Application

2019 Volume 2019

Abstract: Financing difficulty is recognized as the main bottleneck in the technology innovation process of small- and medium-sized enterprises (SMEs). The governments generally provide financial support for SMEs’ innovation activities. Numerous research studies ... ...

Abstract	Financing difficulty is recognized as the main bottleneck in the technology innovation process of small- and medium-sized enterprises (SMEs). The governments generally provide financial support for SMEs’ innovation activities. Numerous research studies have been conducted on the role of the government in enterprises’ innovation, while there is no consistent conclusion on whether government subsidies can improve stakeholder collaboration and effectively ease financing constraints of SMEs’ innovation. Due to information asymmetry and the bounded rationality, the dynamic game among the government, external investors, and SMEs has the characteristics of complexity. This paper aims to explore the collective strategies of the major stakeholders in SMEs’ innovation and investigate the effect of antecedents on innovation activities. We establish a trilateral evolutionary game model on the relationship among the government, external investors, and SMEs. The simulation results show that the evolutionary system converges quickly to the equilibrium; when the government subsidies decrease, the external investors’ appraisal costs decrease and the investment amount and return rates of external investors increase. Furthermore, under the condition of government subsidies, external investors will not change their investment strategies even if the external investors’ recognition costs have exceeded their return on SMEs’ investment. The findings can provide good reference for the government to solve the financing problem of SMEs’ innovation.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Language	English
Publishing date	2019-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Correction

Ziyu Liu / Baiqiang Shan / Chao Ni / Shouhua Feng / Wanting Liu / Xiaoli Wang / Hongtao Wu / ZuofengYang / Jinling Liu / Shu Wei / Changde Wu / Lixia Liu / Zeliang Chen

BMC Veterinary Research, Vol 19, Iss 1, Pp 1-

Optimized protocol for double vaccine immunization against classical swine fever and porcine reproductive and respiratory syndrome

2023 Volume 1

Keywords	Veterinary medicine ; SF600-1100
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	BMC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A New Generator of Probability Models

Mustapha Muhammad / Huda M. Alshanbari / Ayed R. A. Alanzi / Lixia Liu / Waqas Sami / Christophe Chesneau / Farrukh Jamal

Entropy, Vol 23, Iss 1394, p

The Exponentiated Sine-G Family for Lifetime Studies

2021 Volume 1394

Abstract: In this article, we propose the exponentiated sine-generated family of distributions. Some important properties are demonstrated, such as the series representation of the probability density function, quantile function, moments, stress-strength ... ...

Abstract	In this article, we propose the exponentiated sine-generated family of distributions. Some important properties are demonstrated, such as the series representation of the probability density function, quantile function, moments, stress-strength reliability, and Rényi entropy. A particular member, called the exponentiated sine Weibull distribution, is highlighted; we analyze its skewness and kurtosis, moments, quantile function, residual mean and reversed mean residual life functions, order statistics, and extreme value distributions. Maximum likelihood estimation and Bayes estimation under the square error loss function are considered. Simulation studies are used to assess the techniques, and their performance gives satisfactory results as discussed by the mean square error, confidence intervals, and coverage probabilities of the estimates. The stress-strength reliability parameter of the exponentiated sine Weibull model is derived and estimated by the maximum likelihood estimation method. Also, nonparametric bootstrap techniques are used to approximate the confidence interval of the reliability parameter. A simulation is conducted to examine the mean square error, standard deviations, confidence intervals, and coverage probabilities of the reliability parameter. Finally, three real applications of the exponentiated sine Weibull model are provided. One of them considers stress-strength data.
Keywords	sine-generated family ; Weibull distribution ; quantile ; entropy ; parametric estimation ; Bayes estimation ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
Subject code	310
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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