The techniques and characterizations of a new H2O2 biosensor prepared with poly(3,4-ethylenedioxythiophene)/BSA complex film

在现代医学领域，疾病的预防与诊断方法的研究对人体健康至关重要。传统的临床诊断通常依赖化学和生化手段，操作过程复杂且耗时；有时由于所需程序繁杂以及不可避免的人为错误，使得结果缺少准确性。目前为止，人们正在研究构建生物检测器用于未来的临床诊断，希望一种好的生物检测器应该具有简单、便宜、持久可用甚至易于植入人体等方面的潜力。虽然近年来该领域有了很大的发展，但是在稳定性、灵敏度、可靠性等方面，生物检测器依然在实际应用中面临关键性的技术挑战。因此，构建稳定性好、灵敏度高、持久耐用且具有生物相容性的生物检测器，对人体疾病的预防与诊断具有重要意义。 本论文中，我们利用电化学方法将导电高分子聚二氧乙烯噻吩(...Upon great progress has been made in modern medicine, the development of a variety of pre-diagnostic methods is becoming extremely important to save the lives of human beings.Traditional clinical diagnostic tools often rely on the chemical and biochemical approaches that are often complicated and tiresome, and sometimes may lack precision due to the multiple procedures required and inevitable huma...学位：工学硕士院系专业：化学化工学院_化学工程学号：2062012115140

The 3-dimensional cellular automata for HIV infection

China National Funds for Distinguished Young Scientists [11125419, 10925525]; Fujian Province Funds for Leading Scientist in UniversitiesThe HIV infection dynamics is discussed in detail with a 3-dimensional cellular automata model in this paper. The model can reproduce the three-phase development, i.e., the acute period, the asymptotic period and the AIDS period, observed in the HIV-infected patients in a clinic. We show that the 3D HIV model performs a better robustness on the model parameters than the 2D cellular automata. Furthermore, we reveal that the occurrence of a perpetual source to successively generate infectious waves to spread to the whole system drives the model from the asymptotic state to the AIDS state. (C) 2013 Elsevier B.V. All rights reserved

Low-overhead smart power grid data aggregation processing system and method

本发明属于云计算与分布式神经网络技术领域，涉及一种基于分布式神经网络的低开销智能电网数据聚合方法，包括以下步骤：(1)终端设备特征提取；(2)局部数据汇集；(3)云端数据处理。本发明允许边缘设备进行快速的局部推断，大大减少了通信成本，降低了时间开销，同时，通过分布式计算，可以保证数据聚合中的隐私问题并提高了系统的容错能力

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies