The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for largescale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the AT-LAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

No abstract

Edited by Tamas DalmayKeywords: miRNA miR-20a TNKS2 Cervical cancer Migration Invasion a b s t r a c t miR-20a is an important member of the miR-17-92 cluster, and its real function in cervical cancer cells is unknown. Our study demonstrated that miR-20a was upregulated in cervical cancer tissues. Overexpression of miR-20a in cervical cancer-derived cell lines, HeLa and C-33A, enhanced longterm cellular proliferation, migration and invasion, whereas inhibition of miR-20a suppressed those functions. We also confirmed that oncogenic TNKS2 is directly upregulated by miR-20a. Furthermore, suppression of TNKS2 expression could inhibit colony formation, migration and invasion of cervical cancer cells. Therefore, we concluded that miR-20a can promote migration and invasion of cervical cancer cells through the upregulation of TNKS2.

No abstract

Non-destructive plant growth measurement is essential for plant growth and health research. As a 3D sensor, Kinect v2 has huge potentials in agriculture applications, benefited from its low price and strong robustness. The paper proposes a Kinect-based automatic system for non-destructive growth measurement of leafy vegetables. The system used a turntable to acquire multi-view point clouds of the measured plant. Then a series of suitable algorithms were applied to obtain a fine 3D reconstruction for the plant, while measuring the key growth parameters including relative/absolute height, total/projected leaf area and volume. In experiment, 63 pots of lettuce in different growth stages were measured. The result shows that the Kinect-measured height and projected area have fine linear relationship with reference measurements. While the measured total area and volume both follow power law distributions with reference data. All these data have shown good fitting goodness (R2 = 0.9457–0.9914). In the study of biomass correlations, the Kinect-measured volume was found to have a good power law relationship (R2 = 0.9281) with fresh weight. In addition, the system practicality was validated by performance and robustness analysis.