Gastric cancer (GC) is a common malignancy worldwide and its pathogenesis remains unclear. Long non-coding RNAs (lncRNAs) serve an important function in cancer development, therefore identification of functional lncRNAs in GC is required. The results of the present study demonstrate that an lncRNA, LINC00857, was increased in GC tissues compared with adjacent non-tumor tissues. Overexpression of LINC00857 was positively associated with poor survival rate, as well as with the tumor size of patients with GC. LINC00857 knockdown induced by specific small interfering RNAs significantly inhibited GC cell proliferation in vitro. Genome-wide analysis revealed that LINC00857 knockdown deregulated the cell cycle. Western blot analysis confirmed that LINC00857 knockdown decreased protein expression of cyclin D1 and cyclin E1 in GC cells. Taken together, the results indicated that LINC00857 knockdown suppressed GC cell proliferation through deregulating the cell cycle, resulting in the downregulation of cyclin D1 and cyclin E1. Therefore, LINC00857 expression may be an independent biomarker for the diagnosis and prognosis of GC.
PurposeAs wheeled mobile robots find increasing use in outdoor applications, it becomes more important to reduce energy consumption to perform more missions efficiently with limit energy supply. The purpose of this paper is to survey the current state-of-the-art on energy-efficient motion planning (EEMP) for wheeled mobile robots.Design/methodology/approachThe use of wheeled mobile robots has been increased to replace humans in performing risky missions in outdoor applications, and the requirement of motion planning with efficient energy consumption is necessary. This study analyses a lot of motion planning technologies in terms of energy efficiency for wheeled mobile robots from 2000 to present. The dynamic constraints play a key role in EEMP problem, which derive the power model related to energy consumption. The surveyed approaches differ in the used steering mechanisms for wheeled mobile robots, in assumptions on the structure of the environment and in computational requirements. The comparison among different EEMP methods is proposed in optimal, computation time and completeness.FindingsAccording to lots of literature in EEMP problem, the research results can be roughly divided into online real-time optimization and offline optimization. The energy consumption is considered during online real-time optimization, which is computationally expensive and time-consuming. The energy consumption model is used to evaluate the candidate motions offline and to obtain the optimal energy consumption motion. Sometimes, this optimization method may cause local minimal problem and even fail to track. Therefore, integrating the energy consumption model into the online motion planning will be the research trend of EEMP problem, and more comprehensive approach to EEMP problem is presented.Research limitations/implicationsEEMP is closely related to robot’s dynamic constraints. This paper mainly surveyed in EEMP problem for differential steered, Ackermann-steered, skid-steered and omni-directional steered robots. Other steering mechanisms of wheeled mobile robots are not discussed in this study.Practical implicationsThe survey of performance of various EEMP serves as a reference for robots with different steering mechanisms using in special scenarios.Originality/valueThis paper analyses a lot of motion planning technologies in terms of energy efficiency for wheeled mobile robots from 2000 to present.
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