An analysis of the performance of a new high-speed single-way analog switch

This paper introduces a new highspeed single-way analog switch which has both highspeed high-resolution mono-direction analog transmission gate function and high-speed digital logic gate function with normal bipolar technology. The analysis of static and transient switching performances as an analog transmission gate is emphasized in the paper. In order to reduce the plug-in effect on high-speed high-resolution systems, an optimum design scheme is also given. This scheme is to achieve accelerated dynamic response with very low bias power dissipation. The analysis of PSPICE simulation as well as the circuit test results confirms the feasibility of the scheme. Now, the circuit has been applied effectively to the designs of novel highspeed A/D and D/A converters.

A one-way MOS analog switch

In this paper, a one-way NMOS analog switch featuring a low plug-in consumption is presented. The performances of analog switch, especially the performances of source follower are simulated under different conditions with PSPICE. Simulation results and factors affecting the deviation between input and output are analyzed, some advice on how to reduce the deviation between input and output is given. Ar the end of the paper, voltage relationship between input and output of the analog switch is obtained. Function of first degree, Vout = kVin + V0, is used to approximate the voltage relationship. The simulation results anti the value achieved from the approximation equation are given as well.

Analog computation using quantum-dot cell network

A novel analog-computation system using a quantum-dot cell network is proposed to solve complex problems. Analog computation is a promising method for solving a mathematical problem by using a physical system analogous to the problem. We designed a novel quantum-dot cell consisting of three-stacked. quantum dots and constructed a cell network utilizing the nearest-neighbor interactions between the cells. We then mapped a graph 3-colorability problem onto the network so that the single-electron configuration of the network in the ground state corresponded to one of the solutions. We calculated the ground state of the cell network and found solutions to the problems. The results demonstrate that analog computation is a promising approach for solving complex problems.

Layer-by-layer assembly of carbon nanotubes and Prussian blue nanoparticles: A potential tool for biosensing devices

A promising method for assembling carbon nanotubes (CNTs) and poly(diallyldimethylammonium chloride) protected Prussian blue nanoparticles (P-PB) to form three-dimensional (3D) nanostructured films is proposed. The electrostatic interaction, combined with layer-by-layer self-assembly (LBL), between negatively charged CNTs and positively charged P-PB is strong enough to drive the formation of the 3D nanostructured films. Thus, prepared multilayer films were characterized by ultraviolet-visible-near-infrared spectroscopy (UV-vis-NIR), scanning electron microscopy (SEM) and cyclic voltammetry (CV).

Structural relaxation of an inorganic glass Li2O center dot 2SiO(2) - (I) - Tool-Narayanaswamy-Moynihan (TNM) model

The main characteristics of structural relaxation and the associated Tool-Narayanaswamy-Moynihan (TNM) model are thoroughly introduced, The structural relaxation of an inorganic glass (Li2O . 2SiO(2)) at different aging temperatures and aging times is found to be well modeled by the TNM model.

改善三维波动方程叠前深度偏移处理效果的方法研究

3D wave equation prestack depth migration is the effective tool for obtaining the exact imaging result of complex geology structures. It's a part of the 3D seismic data processing. 3D seismic data processing belongs to high dimension signal processing, and there are some difficult problems to do with. They are: How to process high dimension operators? How to improve the focusing? and how to construct the deconvolution operator? The realization of 3D wave equation prestack depth migration, not only realized the leap from poststack to prestack, but also provided the important means to solve the difficult problems in high dimension signal processing. In this thesis, I do a series research especially for the solve of the difficult problems around the 3D wave equation prestack depth migration and using it as a mean. So this thesis service for the realization of 3D wave equation prestack depth migration for one side and improve the migration effect for another side. This thesis expatiates in five departs. Summarizes the main contents as the follows: In the first part, I have completed the projection from 3D data point area to low dimension are using de big matrix transfer and trace rearrangement, and realized the liner processing of high dimension signal. Firstly, I present the mathematics expression of 3D seismic data and the mean according to physics, present the basic ideal of big matrix transfer and describe the realization of five transfer models for example. Secondly, I present the basic ideal and rules for the rearrange and parallel calculate of 3D traces, and give a example. In the conventional DMO focusing method, I recall the history of DM0 process firstly, give the fundamental of DMO process and derive the equation of DMO process and it's impulse response. I also prove the equivalence between DMO and prestack time migration, from the kinematic character of DMO. And derive the relationship between DMO base on wave equation and prestack time migration. Finally, I give the example of DMO process flow and synthetic data of theoretical models. In the wave equation prestak depth migration, I firstly recall the history of migration from time to depth, from poststack to prestack and from 2D to 3D. And conclude the main migration methods, point out their merit and shortcoming. Finally, I obtain the common image point sets using the decomposed migration program code.In the residual moveout, I firstly describe the Viterbi algorithm based on Markov process and compound decision theory and how to solve the shortest path problem using Viterbi algorithm. And based on this ideal, I realized the residual moveout of post 3D wave equation prestack depth migration. Finally, I give the example of residual moveout of real 3D seismic data. In the migration Green function, I firstly give the concept of migration Green function and the 2D Green function migration equation for the approximate of far field. Secondly, I prove the equivalence of wave equation depth extrapolation algorithms. And then I derive the equation of Green function migration. Finally, I present the response and migration result of Green function for point resource, analyze the effect of migration aperture to prestack migration result. This research is benefit for people to realize clearly the effect of migration aperture to migration result, and study on the Green function deconvolution to improve the focusing effect of migration.

阿片药物依赖的神经机制---内侧前额叶与药物的心理依赖

Mental dependence, characterized by craving and impulsive seeking behavior, is the matter of intensive study in the field of drug addiction. The mesolimbic dopamine system has been suggested to play an important role in rewarding of drugs and relapse. Although chronic drug use can induce neuroadaptations of the mesolimbic system and changes of drug reinforcement, these mechanisms cannot fully account for the craving and the compulsive drug-using behavior of addicts. Acknowledging the reinforcement effects of drugs, most previous studies have studied the impact of environmental cues and conditioned learning on addiction behavior, often using established classical or operant conditioning model. These studies, however, paid little attention to the role of cognitive control and emotion in addiction. These mental factors that are believed to have an important influence on conditioned learning. The medial prefrontal cortex (mPFC) has close anatomic and functional connections with the mesolimbic dopamine system. A number of the cognitive neurological studies demonstrate that mPFC is involved in motivation, emotional regulation, monitoring of responses and other executive functions. Thus we speculated that the function of abnormality in mPFC following chronic drug use would cause related to the abnormal behavior in addicts including impulse and emotional changes. In the present study of a series of experiments, we used functional magnetic resonance imaging to examine the hemodynamic response of the mPFC and related circuits to various cognitive and emotional stimuli in heroin addicts and to explore the underlying dopamine neuromechnism by microinjection of tool drugs into the mPFC in laboratory animals. In the first experiment, we found that heroin patients, relative to the normal controls, took a much shorter time and committed more errors in completing the more demanding of cognitive regulation in the reverse condition of the task, while the neural activity in anterior cingulate cortex (ACC) was attenuated. In the second experiment, the scores of the heroin patients in self-rating depression scale (SDS) and Self-rating anxiety scale (SAS) were significantly higher than the normal controls and they rated the negative pictures more aversive than the normal controls. Being congruent with the behavioral results, hemodynamic response to negative pictures showed significant difference between the two groups in bilateral ventral mPFC (VMPFC), amygdala, and right thalamus. The VMPFC of patients showed increased activation than normal controls, whereas activation in the amygdala of patients was weaker than that in normal subjects. Our third experiment showed that microinjection of D1 receptor agonist SKF38393 into the mPFC of rats decreased hyperactivity, which was induced by morphine injection, in contrast, D1 receptor antagonist SCH23390 increased the hyperactivity, These findings suggest: (1) The behavior and neural activity in ACC of addicts changed in chronic drug users. Their impulsive behavior might result from the abnormal neural activity in the mPFC especially the ACC. (2) Heroine patients were more depress and anxiety than normal controls. The dysfunction of the mPFC---amygdala circuit of heroine addicts might be related to the abnormal emotion response. (3) Dopamine in the mPFC has an inhibitory effect on morphine induced behavior. The hyperactivity induced by chronic morphine was reduced by dopamine increase with D1 receptor agonist, confirm the first experiment that the neuroadaption of mPFC system induced by chronic morphine administration appears to be the substrate the impulse behavior of drug users.