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Revised Supporting information

Revised Supporting information

Additional file 1: Figure S1. (a) SEM of MoSe2-PVP NPs. (b) Histogram of diameter distribution of MoSe2-PVP NPs. Dynamic light scattering and Tyndall photographs of MoSe2-PVP NPs in (c) DMEM, (d) saline, and (e) H2O. Figure S2. (a) The photographs of scavenging ability of MoSe2-PVP NPs for ABTS+. Figure S3. (a) Absorbance of the reaction of H2O2 in the presence of MoSe2-PVP NPs (200 ��g/mL) with time; (b) Kinetic change at 650 nm of POD-like of MoSe2-PVP NPs. (c) Kinetic changes at 340 nm of GPx-like of MoSe2-PVP NPs. Figure S4. The safety of MoSe2-PVP NPs in vitro. (a) Cells viabilities of 266-6 cells after cultured with different concentrations of MoSe2-PVP NPs. (b) The photographs of Live/Dead staining corresponding to (a), b: control, c: 50 ��g/mL, d: 100 ��g/mL. Representative graphics are shown, n = 3 independent experiments. Figure S5. (a-i) Hematological test results of mice after the injection with MoSe2-PVP NPs.

Additional file 1. 1. Materials. 2. Characterization of IrO2@MSN@PDA-BSA NPs. Fig. S1. (a) The TEM images of IrO2@MSN@PDA-BSA NPs; (b) the corresponding size distributions of IrO2-PVP nanoparticles. Fig. S2. EDS spectra of IrO2@MSN@PDA-BSA NPs. Fig. S3. FTIR spectra of PVP, PDA, and IrO2@MSN@PDA-BSA NPs. Fig. S4. Release of Ce6 from IrO2@MSN@PDA-BSA(Ce6) NPs. Fig. S5. Variation of the dissolved oxygen (DO) content at different pH values (pH 6.0 and 7.4). Fig. S6. Routine blood test of IrO2@MSN@PDA-BSA(Ce6) treated KM mice fed for different days.

Modern cyber-physical systems (CPS) have a close inter-dependence between software and physical components. Automotive embedded systems are typical CPS, as physical chips, sensors and actuators are physical components and software embedded within are the cyber components. The current stage of embedded systems is highly complex in architecture design for both software and hardware. It is common in industrial practice that high level control algorithm development and low level code implementation on hardware platforms are developed separately with limited shared information. However, software code and hardware architecture become closely related with the increasing complexity. Correlated requirements and dependencies between hardware and software are emerging problems of industrial practice. We demonstrate in this paper a method to link model based system design with real-time simulations and analysis of the architecture model. This allows hardware software co-design and thus early selection of hardware architecture., Comment: AVICPS 2014

Aggradations are very important for the developing and dying-out of lakes. The aggradations of floods and debris flows are common environmental problems in fault lakes in southwestern China. Investigating the background of the basin of Goose Foot River, the effect of human activities on Lake Qionghai, Sichuan Province, China, and the underwater topography maps of 1988 and 2003 were analyzed. In the past 30 years, turbidity currents were formed by debris flows and floods of Goose Foot River and took huge sediment into Lake Qionghai. The sediment not only pushed the coastline of Lake Qionghai at Goose Foot River fan into lake, but also deposited in the lake to the opposite bank. Debris flows took much more sediment into Lake Qionghai than the soil erosion did in the same basin. There is an underwater levee on the underwater fan. The underwater levee is 2 km in length, 200 m ( at south coast) to 600 m (at north coast) in width and the average 2 m in height. The maximum height of sediment deposition at underwater levee is 8. 29 m, or 0. 55 m for every year. There is a channel on the slope of the underwater fan of Goose Foot River mouth eroded by turbidity currents. The main source of sediment is the sediment token by the debris flows in 1996, 1997 and 1998. It should be paid more attention on the environment issues,such as basic characteristics, underwater topography of Lake Qionghai and the effect of Goose Foot River debris flows on Lake Qionghai.