Abstract: As a new business form of innovation and development, new R&D institutions are characterized by their focus on regional and industrial major technical needs, diversified investment subjects, diversified construction models, and marketization of operation mechanism. Their performance evaluation faces new problems and challenges. This paper proposes a new dynamic grey target evaluation model of R&D institutions’ performance in regard to four evaluation indexes, three reference points, and four stages. Aiming at resolving the multi-attribute dynamic decision problem with the attribute value being an interval grey number and the decision-maker’s weight information unknown, we propose the use of the close degree…of grey incidence method to determine the index weight. Our approach revolves around three reference points: peers, development, and expectations. Value matrices of the three reference points are expressed according to the Cumulative Prospect Theory, which also determines the distance from the center of the grey target. Based on the Orness measure, we establish a multi-stage weight optimization model to calculate the stage weight and the comprehensive cumulative prospect value of each agency. Finally, we verify the validity and practicability of our method with the use of parameter sensitivity analysis, a comparison with other methods, and a case study.
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Keywords: Three reference points, new R&D institutions, performance, dynamic grey target, evaluation
Abstract: The problem of bilateral matching of teams and scientific and technical talents is studied in new R&D institutions with different forms of uncertain assessment information. A decision method is proposed based on a combination of grey correlation and cloud model. The method firstly applies interval grey numbers to characterize uncertain assessment score information and cloud models to characterize uncertain linguistic assessment information; secondly, the two different pieces of information are converted into grey correlation coefficients by applying grey correlation analysis methods to the assessment values, so as to solve indicator weights, and assemble assessment data based on indicator weights and…cloud models; finally, the bilateral matching model is constructed and the matching results are solved based on the cloud model data features and the dual objectives of maximum satisfaction and minimum uncertainty. The case analysis and method comparison show that the method is feasible and effective.
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Keywords: New R&D institutions, scientific and technical talents, evaluation, grey correlation, cloud model, bilateral matching
Abstract: OBJECTIVES: This study was intended to investigate the expression status of Vimentin 2p (VIM 2p) , a pseudogene of Vimentin , and further analyze its clinical significance in AML patients. METHODS: Real-time quantitative PCR (RQ-PCR) was employed to explore the expression status of VIM 2p in 128 patients with de novo AML and 36 healthy controls. RESULTS: The expression level of VIM 2p was significantly decreased compared with healthy controls (P< 0.001). The patients with low VIM 2p expression were identified in 93 of 128 (73%) of AML patients. No significant differences could be observed in sex, age, blood parameters,…FAB/WHO subtypes, karyotype risks and ten gene mutations (FLT3-ITD, NPM1, C-KIT, IDH1/IDH2, DNMT3 A, C/EBPA, N/K-RAS and U2AF1 ) between VIM 2p low-expressed and high-expressed patients (P> 0.05). Patients with low VIM 2p expression had significantly shorter overall survival (OS) than those with high VIM 2p expression in whole AML cases (median 7 vs. 13 months, respectively, P= 0.032), besides cytogenetically normal AML (CN-AML) and non-M3 AML cohort (P= 0.042 and 0.045, respectively). CONCLUSIONS: These findings indicate that VIM 2p down-regulation is a common event in AML and may be associated with poor clinical outcome.
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