In a carbon-constrained world, emissions will become a new concern in power system dispatch. Meanwhile, carbon capture power plants (CCPPs), which are a critical low-carbon power generation option, will have a significant impact on power system operation and dispatch. This paper presents research on low-carbon power system dispatch (LCPSD) incorporating CCPPs. The operating mechanism of CCPPs is investigated first. Then, the operating characteristics of CCPPs in power system dispatch are analyzed, including feasible power output limits, ramping rates and relationships between the power outputs and the carbon emissions. A comprehensive LCPSD model is formulated, in which the carbon emissions of power plants are treated as a new set of decision variables, and low-carbon-related cost terms are considered. The dispatch features of CCPPs are elaborately formulated and incorporated into the LCPSD model. The effectiveness and the validity of the proposed LCPSD mode and model are demonstrated using numerical examples based on an IEEE 118-bus tested system. Index Terms-Carbon capture power plant, emissions, low-carbon power system dispatch, operating characteristics.

Long non-coding RNAs (lncRNAs) have been shown to exert essential roles in development and progression of tumors. Here we discovered a novel lncRNA, RAB11B antisense RNA (RAB11B-AS1), which is markedly down-regulated in human osteosarcoma (OS) and associated with OS metastasis and poor prognosis. We find that reduction of RAB11B-AS1 significantly facilitates proliferation, migration and invasiveness and prevents apoptosis of OS cells and results in lower sensitivity to cisplatin in these cells. In contrast, up-regulation of RAB11B-AS1 suppresses the aggressive behaviors of OS cells. Mechanistically, down-regulation of RAB11B-AS1 elevates its sense-cognate gene RAB11B expression at both mRNA and protein levels. RAB11B-AS1 expression correlates negatively with RAB11B expression in OS tissues. Luciferase reporter assay illuminated that RAB11B-AS1 regulates RAB11B expression through antisense pairing. Most importantly, all the effects of RAB11B-AS1 were abrogated by RAB11B down-regulation. Thus our findings revealed that lnc-RAB11B-AS1 prevents osteosarcoma development and progression via inhibiting RAB11B expression, indicating lnc-RAB11B-AS1 as a potential therapeutic target for osteosarcoma.

Long noncoding RNAs have been proved to play essential roles in tumor development and progression. In this study, we focused on DNAJC3‐AS1 and investigated its biological function and clinical significance in osteosarcoma. We detected the expression of DNAJC3‐AS1 in 30 pairs of matched osteosarcoma and adjacent nontumorous specimens and osteosarcoma cell lines and analyzed association between DNAJC3‐AS1 levels and clinicopathological factors. We found that DNAJC3‐AS1 expression was up‐regulated in osteosarcoma. High level of DNAJC3‐AS1 was correlated with high differentiated degree (P = 0.018) and advanced Enneking stage (P = 0.016). Mechanistically, DNAJC3‐AS1 enhanced cell proliferation, migration, and invasion in vitro and in vivo and reduced sensitivity of osteosarcoma to cisplatin. These effects of DNAJC3‐AS1 were reversed by down‐regulation of its sense‐cognate gene DNAJC3. Thus, DNAJC3‐AS1 promotes osteosarcoma development and progression by regulating DNAJC3 and might be a biomarker and therapeutic target for osteosarcoma.

Background: Lung cancer (LC) is one of the leading causes of cancer-related mortality in China and worldwide. Despite the progress in diagnosis and treatment of LC, the prognosis of LC remains poor.Studies have demonstrated that long non-coding RNAs (lncRNAs) play a critical role in carcinogenesis and cancer development.Methods: Here we examined the expression and potential function of lnc-RAB11B-AS1 in LC both in vitro and in vivo. All experiments in this study were conducted using A549 and PC-9 cell lines according to protocols described in this paper. The clinic characteristics were analyzed using logistic regression, cox model, log rank test, biochemical analysis using qRT-PCR, transfections, nude mice model, and cell biological analysis using Transwell assay, CCK-8 assay, flow cytometry, and rescue experiments, and immunohistochemistry. Results:The results showed that lnc-RAB11B-AS1 was significantly overexpressed in LC tissues compared to the corresponding non-tumor tissues. Patients with a higher level of lnc-RAB11B-AS1 expression showed a poorer overall survival rate. Functionally, overexpression of lnc-RAB11B-AS1 promotes cell proliferation, migration and invasion abilities of LC cell lines, which suggests lnc-RAB11B-AS1 may play an oncogenic role in LC. lnc-RAB11B-AS1 was located in physical contiguity with RAB11B gene and found positively regulates the RAB11B expression, and the protein levels of RAB11B in LC tissues also found to positively correlated with the level of lnc-RAB11B-AS1 expression. RAB11B silencing partially abrogated lnc-RAB11B-AS1induced proliferation of the LC cell lines used in this study.Conclusions: This study provided a novel evidence into the function of lncRNA-driven carcinogenesis.Our findings highlighted the importance of lnc-RAB11B-AS1 and RAB11B in LC progression and indicated that lnc-RAB11B-AS1 may serve as a novel and valuable prognostic biomarker for LC.

-Modelling and simulating the wind power intermittent behaviour are the basis of the planning and scheduling studies concerning wind power integration. The wind power outputs are evidently correlated in space and time and bring challenges in characterizing their behaviour. This paper provides a methodology to model and simulate the clustered wind power considering its spatiotemporal correlations using the theory of copula. The sampling approach captures the complex spatiotemporal connections among the wind farms by employing a conditional density function calculated using multidimensional copula function. The empirical study of real wind power measurement shows how the wind power outputs are correlated and how these correlations affect the overall uncertainty of clustered wind power output. The case study validates the simulation technique by comparing the simulated results with the real measurements.