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Objective To investigate the expression levels of thyroid transcription factor-1 （TTF-1） and CyclinD1 in ovarian cancer and analyze their relationship with lymphangiogenesis. Methods The ovarian cancer tissue samples were collected from 60 patients with ovarian cancer and corresponding ovarian tissue samples from 20 patients pathologically diagnosed with benign ovarian tumors and normal ovarian tissue were collected as the control group. Tissue sections were prepared for immunohistochemical staining of TTF-1， CyclinD1 and D2-40. The staining results of TTF-1 and CyclinD1 were evaluated based on semi-quantitative integration method. D2-40 staining results were assessed according to Weidner evaluation method. Lymphatic vessel density （LVD） was calculated. Results The positive expression rates of TTF-1 and CyclinD1 were 58% and 83% in the ovarian cancer tissues， which were higher than 5% and 10% in the normal cancer tissues（all P < 0.001）， respectively. The positive expression rates of TTF-1 and CyclinD1 were significantly increased in the ovarian cancer tissues with pathological stageⅢ-Ⅳ， lymph node metastasis， peritoneal metastasis， T3-T4 stage， N1 stage and M1 stage （all P < 0.05）. Age and histological type were not correlated with the positive expression rates of TTF-1 and CyclinD1 （all P > 0.05）. The LVD of ovarian cancer tissues with pathological stageⅢ-Ⅳ， lymph node metastasis and peritoneal metastasis was significantly increased （all P < 0.05）. The LVD of ovarian cancer tissues with positive expression of TTF-1 and CyclinD1 was significantly higher than that of ovarian cancer tissues with negative expression （both P < 0.05）. Conclusions TTF-1 and CyclinD1 are highly expressed in ovarian cancer tissues. Patients with severe ovarian cancer， lymphangiogenesis and metastasis have high expression of TTF-1 and CyclinD1， which may be potential new targets for ovarian cancer interventions.

In this study, a targeted nanocarrier was developed by functionalizing graphene oxide with polyethyleneimine and folic acid, intended for loading oridonin. The nanocarrier was successfully synthesized and characterized using an ultraviolet spectrum, Fourier transform infrared spectroscopy and scanning electron microscopy. The nanocarrier demonstrated a remarkable oridonin loading capacity, reaching 424.8 μg/mg, as determined by ultra‐high performance liquid chromatography. In vitro drug release experiments exhibited a pH‐dependent release profile, with a higher cumulative release in an acidic environment. The release mechanism followed the Ritger–Peppas equation model. Cytotoxicity assays indicated minimal toxicity of the nanocarrier. Enhanced cellular uptake by MCF7 cells was observed for carriers functionalized with folate and polyethyleneimine. These findings highlight the potential of functionalized graphene oxide as a promising carrier for oridonin delivery in biomedical applications. [ABSTRACT FROM AUTHOR]

This paper is concerned with optimizing the configuration of a set of platform products and the associated supply chain consisting of one manufacturer and multiple suppliers using a three-move dynamic game-theoretic approach. The variants in the product family share a common platform for developing/configuring variant modules which are substitutable in the sense that high-end module options can functionally replace low-end ones at higher prices. As the customer in the supply chain, the manufacturer takes its leading role by making the first move to give decisions on platform products development (PPD) and supplier selection. The concerned suppliers make the second move to optimize their decisions including price discounts and their ordering policies. The manufacturer finishes the game by taking the last move to make his ordering decisions. The ranges of the rational reactions for the players are derived from the analyses of their payoff models, and an enumerative algorithm is developed to find the subgame perfect equilibrium of the game through the technique of backward induction. The game model and the proposed solution procedure are illustrated through a series of simulation experiments and sensitivity analyses using a numerical example. The results have allowed us to draw some meaningful interpretations and useful managerial insights. The use of platform commonality and modularity has been found generally beneficial not only to the supply chain as a whole but also to individual players that are eventually configured into the game. Flexibility of the suppliers' capability is also found to affect the PPD decisions. Index Terms--Commonality, configuration game, game theory, mass customization, modularity, platform product, supply chain.

Aim: To explore the relationships among self‐efficacy, information literacy, social support and career success of clinical nurses and identify factors influencing clinical nurses' career success in northwestern China. Background: Understanding the influencing factors of career success is important for the professional development of nurses and the improvement of clinical nursing quality. Many influencing factors of career success have been identified, but there is no large‐scale research on the relationships among self‐efficacy, information literacy, social support and career success of clinical nurses based on Kaleidoscope Career Model. Studies examining the association of the four factors remain limited. Methods: A total of 3011 clinical nurses from 30 hospitals in northwestern China were selected in the cross‐sectional survey, and the response rate was 94.71%. The clinical nurses completed the online self‐report questionnaires including self‐efficacy, information literacy, social support rating scale and career success scale. The data were analysed by SPSS23.0 statistical software using t test, analysis of variance, Pearson's correlation and multiple linear regression. Structural equation model (SEM) was used to analyse the influencing factors of career success using Mplus 8.3. Results: The career success of clinical nurses in northwestern China was at a medium level. The linear multivariate regression analysis showed that self‐efficacy (β =.513), social support (β =.230), information support (β =.106), information consciousness (β = −.097), information knowledge (β =.067), information ethics (β = −.053), hospital grade (β =.118), marital status (β = −.071) and age (β = −.037) entered regression equation of clinical nurses' career success (all P <.05). SEM results showed that the career success was negatively correlated with demographic characteristics and positively correlated with social support and self‐efficacy. Conclusion: Demographic characteristics, self‐efficacy, social support and information literacy are the influencing factors of nurses' career success, which should be considered in the process of promoting nurses' career success. Implications for nursing management: Nursing managers need to acknowledge the significance of nurses' career success both for the realization of their own value and for the improvement of clinical nursing quality. They should encourage nurses to enhance self‐efficacy and render more social support through incentive policies and foster nurses' information literacy through information technology training so as to improve their career success. [ABSTRACT FROM AUTHOR]