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Background: With the continuous development of big data, artificial intelligence, the Internet of things, and blockchain technology, distributed interactive systems have gradually become the mainstream of computing technologies and applications with the help of real-time interaction platforms. The real-time interaction platforms provide a data communication bridge for distributed applications, not only meeting the timeliness and correctness of data interaction but also providing a unified interface for application development. It realizes the plug and play of different functional modules in the distributed system and improves development efficiency for system developers. Objective: According to the characteristics of the large scale, wide range, and complex running environment of distributed interaction systems, this paper analyzes the function and performance requirements of the distributed interactive platform and designs and implements a real-time interactive platform named NetDDS based on a publish-subscribe mechanism. Methods: Concerning the idea of a layered design, the real-time interactive platform is constructed from three aspects: distribution service layer, QoS guarantee layer, and data transmission layer. The platform provides a data synchronization function based on publish/ subscribe mechanism, a configurable QoS guarantee mechanism, and a multi-protocol data transmission mechanism based on Ethernet, ensuring the real-time correctness and reliability of data transmission. Results: Experimental results show that the interactive platform exhibits less delay in message update. Conclusion: This paper proposes a hierarchical architecture, designs and implements a real-time interaction platform based on publish/subscribe mechanism, and provides a topic- based publish/subscribe model to the application layer. The publisher and subscriber directly publish and subscribe with data as the center to meet the real-time requirements of distributed real-time applications.

According to the goal of " Curriculum ideological and politics", taking information security course as an example, focusing on the leading ideology facing the frontier of international scientific application, facing the national major needs and facing the main battlefield of economy, through the penetration of Frontier Science and technology and national security regulations into the curriculum practice, the teaching cases in the information security course are excavated, and a set of Curriculum System Integrating Ideological and political and curriculum content is formed. Cultivate and practice the socialist core values and guide students to be human and do things correctly.

Objectives. Hexokinase 2 (HK2) is one of the key factors involved in the development of several human cancers. However, its role in immune cell infiltration (ICI) and tumor development in renal cell carcinoma is not yet known. Thus, we aimed to explore its relationship with ICI, overall survival, and prognosis of renal cell carcinoma. Methods. In this study, RNA-seq data from renal cancer and normal tissues were extracted from TCGA and the relationship between HK2 expression and pathological features of RCC patients was analyzed using the GEPIA and UALCAN databases. Subsequently, Western blot and qRT-PCR were performed to analyze the protein and mRNA expression of HK2 in renal cell carcinoma tissues and cell lines. Lastly, various bioinformatics tools were applied to determine the immune cell infiltration, survival, and developing prediction model. Results. The analysis of RNA-seq data revealed a high expression of HK2 in renal cell carcinoma; furthermore, Western blot and qRT-PCR also showed high expression of HK2 in renal cancer tissues and cell lines. The high expression of HK2 showed a significant positive correlation with the advanced stage of the tumor, lymph node metastasis, and worst survival in renal carcinoma patients. The high expression of HK2 was further identified as an independent risk factor of RCC patients; it also showed a significant positive immune cell infiltration RCC tumor microenvironment including macrophages, B cells, neutrophils, dendritic cells, and CD8+ T cells. Conclusion. the expression of HK2 is positively correlated with the immune cell infiltration and prognosis of renal cell carcinoma patients, thus playing an important role in renal cancer development.

Objective. Currently, lots of scholars have proved that the expression of NCAPG is associated with the prognosis of several cancers, while the relationship between NCAPG and renal clear cell carcinoma remains unclear, so the main aim of this research is to explore the effects of NCAPG on the progression of renal clear cell carcinoma. Methods. We observed the differential expression of NCAPG in several cancers from GEPIA online database, and the expression of NCAPG in renal clear cell carcinoma and normal tissue was compared and further verified by IHC assay. CCK-8 assay and clone formation experiment were conducted to observe the change of NCAPG on the proliferation. GraphPad was used for data analysis, and t -test and χ 2 analysis were used to analyze the correlation between NCAPG/CDK1 and renal clear cell carcinoma. Results. NCAPG was upregulated in renal clear cell carcinoma compared with the normal tissue, and the expression of NCAPG was associated with the clinical prognosis of pancreatic cancer especially with tumor size ( P = 0.010 ). Knockdown NCAPG could restrain the proliferation of renal clear cell carcinoma. CDK1 was found to be tightly related with NCAPG, and the expression of CDK1 was also associated with the prognosis. Conclusions. NCAPG was upregulated in renal clear cell carcinoma, which was related with tumor size and overall survival. NCAPG might promote the proliferation of renal clear cell carcinoma via mediating CDK1. NCAPG/CDK1 complex might provide a new treatment strategy for lots of patients with renal clear cell carcinoma.

Background:Middleware has been widely adopted as an efficient approach to facilitate the development process of large-scale distributed systems. Although this approach can achieve simplified system design and reduced time consumption, it has a strong demand for real-time task processing and data transmitting. Traditional middleware, which lacks the real-time performance guarantee mechanism, cannot be adopted by the distributed systems with strict time restrictions.Methods:In order to meet the real-time requirements of distributed systems, the functional requirements of middleware are studied, and a real-time publish/subscribe middleware is designed and implemented in this paper. A hierarchical design is adopted to build this middleware from a model layer, a communication layer and a support layer. The middleware has the data synchronization on distributed objects, Ethernet-based publish/subscribe mechanism and the real-time performance guarantee mechanism.Results:Experiments show that the proposed middleware satisfies the needs of distributed applications, and ensures that the end-to-end data communication delay is less than 1 millisecond, which meets the real-time requirements of data transmission in distributed systems.Conclusion:In this paper, we design and implement a real-time middleware based on the publish/ subscribe mechanism.

Bladder cancer (BC) is among the most common urinary system tumors with a high morbidity and mortality worldwide. Despite advancements being made in the diagnosis and treatment of bladder cancer, targeted therapy remains the most promising treatment, and novel therapeutic targets are urgently required in to improve the outcomes of patients with BC. Kinesin family member 4A (KIF4A) is a plus‑end directed motor protein involved in the regulation of multiple cellular processes, such as mitosis and axon growth. Notably, KIF4A plays important roles in tumor growth and progression, and its expression is associated with the prognosis of several types of cancer. However, the potential role and molecular mechanisms of KIF4A in bladder cancer development remain unclear. The present study demonstrated that KIF4A was highly expressed in human BC tissues, and its expression was associated with patient clinicopathological characteristics, such as tumor stage (P=0.012) and with the prognosis of patients with BC. It was further found that KIF4A promoted the cell proliferation of bladder cancer both in vitro and in vivo. On the whole, the data presented herein provide evidence that KIF4A promotes the development of BC through the transcriptional activation of the expression of CDCA3. The present study indicates the involvement of KIF4A in the progression of BC and suggests that KIF4A may be a promising therapeutic target for the treatment of BC.

Increasing evidence showed that circular RNAs (circRNAs) play critical roles in tumorigenesis. However, the roles and underlying mechanisms of circRNAs in clear cell renal cell carcinoma (ccRCC) remain unclear. In the present study, we identified a novel circRNA circPCNXL2, which was significantly upregulated in ccRCC by circular RNA microarray. Further analysis revealed that circPCNXL2 was significantly increased and correlated with poor overall survival of ccRCC patients. Function assays revealed that circPCNXL2 knockdown reduced RCC cells proliferation, invasion in vitro, and decreased tumor growth in vivo. In mechanism study, we showed that circPCNXL2 could be bind to miR-153 as a miRNA sponge to regulate ZEB2 expression in RCC progression. In addition, our data reported that the effects of circPCNXL2 inhibition on RCC cells proliferation and invasion could be abolished by miR-153 inhibitors. Altogether, we demonstrated that circPCNXL2 could regulate RCC cells proliferation and invasion by miR-153/ZEB2 axis, suggesting circPCNXL2 might serve as a potential therapeutic target for ccRCC treatment.

Introduction Recently, increasing evidence has shown that long non-coding RNAs (lncRNAs) play critical roles in tumor progression and development. However, the expression pattern and biological function of lncRNA HULC (highly upregulated in liver cancer) in prostate cancer (PCa) remain largely unclear. Material and methods The expression of lncRNA HULC in 53 paired PCa tissues and cell lines was detected by quantitative real-time polymerase chain reaction (qRT-PCR). The χ2 test was used to explore the association of lncRNA HULC expression with clinicopathologic features. Kaplan-Meier analysis was used to detect the association between HULC expression and overall survival of PCa patients. Furthermore, the function of HULC in cell growth and metastasis was detected in PCa cells. Results Our data showed that HULC expression was upregulated in PCa tissues and cell lines compared to adjacent non-tumor tissues and the normal prostate cell line RWPE-1 (p < 0.05). High HULC expression was positively associated with advanced clinicopathologic features and poor overall survival (OS) for PCa patients (p < 0.05). HULC inhibition suppressed PCa cell growth and metastasis both in vitro and in vivo (p < 0.05). Furthermore, HULC knockdown reduced N-cadherin and vimentin expression and increased E-cadherin expression in PCa cells (p < 0.05). Conclusions Our data suggested that lncRNA HULC might play oncogenic roles in PCa progression, which provided a novel therapeutic strategy for PCa patients.