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This brief presents a 2 $\times $ VDD output buffer using the encoded compensation technique to minimize slew rate (SR) deviation caused by PVT (process, voltage, temperature) variations. The process detectors can both detect all five process corners and ensure the compensation code unchanged in VT variations. Besides, the charging paths of the proposed voltage level converter (VLC) are independent and directly driven by logic gate, which applied in output stage to speed output buffer data rate up. The proposed design is implemented using a typical 90 nm 1.2 V 1P9M CMOS process, where the core area of a single output buffer is $400\,\,\mu \text{m}\times 56\,\,\mu \text{m}$ . The measured maximum data rate is 640/480 MHz given 1.2/2.5 V supply voltage, and the power consumption is 32.2 mW at 640 MHz data rate. the slew rate variation improvement is 41.5%/41.9% by PVT detection and SR compensation for VDDIO=1.2/2.5 V, respectively.

The discovery of mammalian target of rapamycin (mTOR) kinase inhibitors has always been a research hotspot of antitumor drugs. Consensus scoring used in the docking study of mTOR kinase inhibitors usually improves hit rate of virtual screening. Herein, we attempt to build a series of consensus scoring models based on a set of the common scoring functions. In this paper, twenty-five kinds of mTOR inhibitors (16 clinical candidate compounds and 9 promising preclinical compounds) are carefully collected, and selected for the molecular docking study used by the Glide docking programs within the standard precise (SP) mode. The predicted poses of these ligands are saved, and revaluated by twenty-six available scoring functions, respectively. Subsequently, consensus scoring models are trained based on the obtained rescoring results by the partial least squares (PLS) method, and validated by Leave-one-out (LOO) method. In addition, three kinds of ligand efficiency indices (BEI, SEI, and LLE) instead of pIC50 as the activity could greatly improve the statistical quality of build models. Two best calculated models 10 and 22 using the same BEI indice have following statistical parameters, respectively: for model 10, training set R2 = 0.767, Q2 = 0.647, RMSE = 0.024, and for test set R2 = 0.932, RMSE = 0.026; for model 22, raining set R2 = 0.790, Q2 = 0.627, RMSE = 0.023, and for test set R2 = 0.955, RMSE = 0.020. These two consensus scoring model would be used for the docking virtual screening of novel mTOR inhibitors.

In this paper, we introduce a value chain approach, on the view of the value chain analytic in business management, to be the framework of a crisis response system serving for crisis management strategy in identifying risk sources, responding to unexpected events, and recovering from a shock. This system is not only a computer system but also a system of governmental emergency response mechanism and it is tremendous and complex. The system integrates and coordinates the correlative resources of emergency response units of the city. We consider the efficiency of the system. In addition, the run cost of the system also is taken into account. Based on this framework, the Qingdao’s practical situation is analyzed. As a result, a design proposal of the Qingdao’s crisis response system is put forward.

Measuring liquid level with high accuracy is an urgent requirement. This paper mainly focus on the demodulation system of fiber-optic liquid level sensor based on Fabry-Perot cavity, design and simulate the demodulation system by the single-chip simulation software.

A high-speed 8-bit analog-to-digital converter in 0.35µm BiCMOS process technology is presented. The ADC uses the unique folding and interpolating architecture and the dual-channel timing interleave multiplexing technology to achieve a sampling rate of 2GSPS. In case of digital calibration, as a result of testing, the ADC achieves 7.32ENOB at analog input of 484MHz, and 7.1ENOB at Nyquist input after the chip is self-corrected.