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- 저자 : Yanliang Niu (검색결과 3 건)
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Yanliang Niu,Huimin Li,Kunhui Ye,Amin Mahmoudi,Xiaopeng Deng 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.5
The mileage of high-speed rail (HSR) is expected to grow in the foreseeable future. Fierce international competition and HSR business uniqueness have facilitated the broad application of international joint ventures (IJVs) globally. However, the interaction between competition and cooperation complicates IJVs, and IJVs partners’ implementation has rarely been informed concerning the fluent operation of IJVs for HSR projects. This study aims to examine the determinants of IJVs coopetition for HSR projects. We identified 35 variables along with their clusters through literature review and pilot study, and collected data from the international HSR industry using a questionnaire survey. Eight clusters verified by the confirmatory factor analysis come from three levels: macro-level, project-level, and firm-level. Based on the partial least squares structural equation modeling (PLS-SEM), a path model for the coopetition relationship has been established, demonstrating that macro-level and project-level determinants affect the coopetition relationship via the firm-level determinants. Furthermore, the path model indicates recommendations corresponding to various situations (isolating situation, partnering situation, contending situation, and adapting situation) for IJVs members to find a way to improve the coopetition relationship. Thus, this study not only contributes to the existing knowledge body on coopetition theory, but also enhances HSR contractors’ comprehension of the coopetition relationship determinants as well as the interactions.
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Xiaobo Liu,Yanliang Bai,Ying Liu,Weiya Li,Yabin Cui,Jinhui Xu,Xingjun Xiao,Xiaona Niu,Kai Sun 대한혈액학회 2023 Blood Research Vol.58 No.4
Background Red blood cell distribution width/platelet count ratio (RPR) is a reliable prognostic assessment indicator for numerous diseases. However, no studies to date have examined the relationship between RPR and the prognosis of diffuse large B-cell lymphoma (DLBCL). Therefore, this study aimed to investigate the correlation between RPR and the clinical characteristics and prognosis of patients with diffuse large B-cell lymphoma. Methods We retrospectively studied 143 patients with newly diagnosed DLBCL and used the median value as the RPR threshold. We also investigated the correlation of pretreatment RPR level with clinical characteristics and its impact on DLBCL prognosis. Results Using the median value as the cut-off, patients with DLBCL were divided into a low RPR group (<0.0549) and a high RPR group (≥0.0549). Patients in the high RPR group were older, had a later Ann Arbor stage, were prone to bone marrow invasion, and had a higher National Comprehensive Cancer Network International Prognostic Index score (P < 0.05). A survival analysis showed that progression-free survival (PFS) (P =0.003) and overall survival (OS) (P <0.0001) were significantly shorter in the high versus low RPR group. A multifactorial Cox analysis showed that bone marrow invasion and elevated lactate dehydrogenase (LDH) were separate risk factors for PFS (P <0.05), while an RPR ≥0.0549 and elevated LDH were separate risk factors for OS (P <0.05). Conclusion A high RPR (≥0.0549) in patients with newly diagnosed DLBCL is an independent risk factor for a poor prognosis.
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Xiaochen Duan,Jingjing Hao,Yanliang Niu 대한전자공학회 2023 IEIE Transactions on Smart Processing & Computing Vol.12 No.6
This paper proposes a particle swarm optimization algorithm, error back propagation neural network, fuzzy inference system, and other non-linear method models with high fitting degree and accuracy to optimize the scientific and accurate decision-making of investment plans for international high-speed railway projects, solve the problems of lag, linearity, and simplicity in the current investment forecasting and decision-making methods, and maximize the economic and social benefits of investment, based on the mining of historical data of the full life cycle cost. These methods were suitable for the randomness, complexity, and non-linearity presented in the full life cycle of international high-speed rail investment. The investment plan decision-making of international high-speed railway construction projects was conducted. The investment error of the selected line construction stage was 1.85%, and the operating investment error from November 14, 2007, to now was 0.64%, which is within the allowable range of ±3%. The ratio of operating investment in the next 80 years to that in the first 20 years was five. The built model was applied to three alternative routes, and the predicted results according to the model were the same as the selected routes in the actual project.
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