An EPR Study on the Chemical form of Mn2+ in the Chinese Loess Samples

Electron paramagnetic resonance (EPR) spectroscopy in combination with thermal methods were used to identify and characterize Mn²⁺ in the Chinese loess that is a multimineral system. EPR spectra of the loess samples from the classic loess-paleosol section in central China show the presence of trace amounts of Mn²⁺; whereas paleosol samples present no Mn²⁺ EPR signal. The spectral changes upon step heating from room temperature to 1000 °C suggest that this EPR signal in the loess arises from Mn substituted into CaCO₃. This study provides a direct evidence that the loess-paleosol profiles were formed under the changing redox conditions caused by a past climatic change.     

The Design of Passive Optical Networking+Ethernet over Coaxial Cable Access Networking and Video-on-Demand Services Carrying

Abstract

Video on demand is a very attractive service used for entertainment, education, and other purposes. The design of passive optical networking+Ethernet over coaxial cable accessing and a home gateway system is proposed. The network integrates the passive optical networking and Ethernet over coaxial cable to provide high dedicated bandwidth for the metropolitan video-on-demand services. Using digital video broadcasting, IP television protocol, unicasting, and broadcasting mechanisms maximizes the system throughput. The home gateway finishes radio frequency signal receiving and provides three kinds of interfaces for high-definition video, voice, and data, which achieves triple-play and wire/wireless access synchronously.     

非均匀变截面梁动力响应的一般解

本文利用精确解析法[1]给出非均匀变截面梁在任意谐振荷载和边界条件下的动力响应的一般解.问题最后归结为求解一个非正定微分方程.对于这一问题用一般变分法求解失败,利用本文的方法,这个问题的一般解可以写成解析的形式.因此对优化特别方便.本文给出收敛性证明.文末给出的算例表明本文的方法可获得满意的结果.     

预测气吹精密播种机排种质量的一种简易方法

通过对气吹式精密播种机田间试验资料的相关分析，发现合格指数Ａ与｜Ｄ－Ｍ｜（重播指数与漏播指数之差的绝对值）之间里极显著负相关（ｒ＝－０．９３１２）。在对数据作进一步回归分析的基础上，本文建立了一套“由排种粒数预测排种质量”的方法。     

An improved evaluation of the neutron background in the PandaX-Ⅱ experiment

In dark matter direct detection experiments,neutron is a serious source of background,which can mimic the dark matter-nucleus scattering signals.In this paper,we present an improved evaluation of the neutron background in the PandaX-II dark matter experiment by a novel approach.Instead of fully relying on the Monte Carlo simulation,the overall neutron background is determined from the neutron-induced high energy signals in the data.In addition,the probability of producing a dark-matter-like background per neutron is evaluated with a complete Monte Carlo generator,where the correlated emission of neutron(s)andγ(s)in the(α,n)reactions and spontaneous fissions is taken into consideration.With this method,the neutron backgrounds in the Run 9(26-ton-day)and Run 10(28-ton-day)data sets of PandaX-II are estimated to be(0.66±0.24)and(0.47±0.25)events,respectively.     

The High Energy X-ray telescope (HE) onboard the Insight-HXMT astronomy satellite

The Insight-Hard X-ray Modulation Telescope(Insight-HXMT) is a broadband X-ray and γ-ray(1-3000 ke V) astronomy satellite. One of its three main telescopes is the High Energy X-ray telescope(HE). The main detector plane of HE comprises 18 Na I(Tl)/Cs I(Na) phoswich detectors, where Na I(Tl) is used as the primary detector to measure ~ 20-250 ke V photons incident from the field of view(FOV) defined by collimators, and Cs I(Na) is used as the active shielding detector to Na I(Tl) by pulse shape discrimination. Additionally, Cs I(Na) is used as an omnidirectional γ-ray monitor. The HE collimators have a diverse FOV,i.e. 1.1°×5.7°(15 units), 5.7°×5.7°(2 units), and blocked(1 unit). Therefore, the combined FOV of HE is approximately5.7°×5.7°. Each HE detector has a diameter of 190 mm resulting in a total geometrical area of approximately 5100 cm2, and the energy resolution is ~15% at 60 ke V. For each recorded X-ray event by HE, the timing accuracy is less than 10 μs and the deadtime is less than 10 μs. HE is used for observing spectra and temporal variability of X-ray sources in the 20-250 ke V band either by pointing observations for known sources or scanning observations to unveil new sources. Additionally, HE is used for monitoring the γ-ray burst in 0.2-3 Me V band. This paper not only presents the design and performance of HE instruments but also reports results of the on-ground calibration experiments.     

高盐样品中锂的电感耦合等离子体发射光谱法(ICP-OES)测定研究

锂是重要的战略金属和新能源材料,其开发利用受到全球的高度关注。在高盐卤水特别是盐湖卤水和地下卤水中富含巨量的锂资源,在对这些资源进行锂的开发利用过程中,需对锂的含量进行准确测定,然而卤水中共存的高浓度Na+, K+, Ca2+和Mg2+会对微量锂的准确测定产生严重的干扰。电感耦合等离子体发射光谱法(ICP-OES)具有线性范围宽和多元素同步分析能力,针对卤水中锂的快速准确测定,详细开展了高盐样品中锂的ICP-OES分析方法研究。结果表明,锂在610.364 nm处具有较高的信噪比,且Na+, K+, Ca2+, Mg2+和Ar不会对锂的测定产生显著的谱线干扰。然而,样品中大量共存的Na+, K+和Mg2+会对锂的测定产生严重的基体正干扰,而Ca2+产生负干扰。尽管内标法在消除基体干扰方面具有广泛的应用,但传统的以钇和钪为内标元素的内标法不能有效解决该问题。此外,针对标准加入法操作繁琐、不适合批量样品分析问题,以及基体匹配法需多离子匹配,且不适合样品基体组成变化的批量样品分析等问题,考察了采用单一组分进行复杂基体匹配的可行性。由于NaCl广泛存在于卤水中,且对锂的测定具有显著的增敏效应,通过系列研究发现,通过同时向样品和标准溶液中加入10 g·L-1的NaCl,成功解决了总量不超过40 g·L-1的NaCl, KCl和MgCl2所产生的干扰。尽管采用该法或沉淀预分离方式均不能消除Ca2+产生的负干扰,但当样品中Ca2+含量不高于1.8 g·L-1时,对测定不产生显著的影响。通过采用该方法对三种不同基体组成的卤水样品进行加标回收测定,其回收率在96.60%~104.20%范围内。此外,通过与电感耦合等离子体质谱法(ICP-MS)测定结果进行对比,充分论证了该法的准确性和可靠性(相对误差±3.66%)。该法仅以单一的NaCl进行复杂基体匹配,不仅简化了操作,还实现了基体组成变化的批量样品分析,因而在卤水中锂的快速准确测定及锂资源开发利用方面具有重要意义。     

基于八面体理论的岩石循环加-卸载本构模型及修正

探究岩石的受力特点及破坏特性是研究岩石地下工程安全性的关键,诸多学者都期望能在岩石本构模型的研究上取得突破性进展。在此背景下,提出了一种能够描述循环加-卸载条件下岩石的本构模型。首先,假设岩石的微元强度服从八面体剪应力理论并且微元破坏服从Weibull概率公式,将岩石本构中的损伤变量以及岩石微元强度表达式里包含的损伤因子进行本构变换,得到关于应力、应变等其他表现加-卸载下岩石损伤本构模型的参数,表示出岩石微元强度和损伤变量,再将得到的岩石微元强度和损伤变量代入所提出的岩石本构模型中,并进行等式变换得到一个函数表达式。通过将其与实验数据进行拟合对比分析,得出修正后的拟合参数,将其代入函数式中,得到损伤本构模型的修正式。最后将拟合参数进行必要的敏感性分析,得出各拟合参数的实际物理意义。     

使用深度学习的多通道水下目标识别

为解决低信噪比条件下水下目标识别率低的问题,提出一种适用于多通道水听器阵列的深度学习水下目标识别方法。首先是采用子通道特征级联的方法利用多通道信息;在特征提取方面,采用对信号的不同频率区间进行加权的特征提取器,并对提取的特征进行正则规整;最后采用深度神经网络(Deep Neural Network,DNN)实现目标识别。实验首先在仿真条件下对所提出方法的有效性进行验证,结果表明在-15 dB信噪比条件下的五目标识别任务中,使用多通道级联特征的深度神经网络的识别正确率达到96.7%,显著高于基于支持向量机(Support Vector Machine,SVM)的方法。在后续的湖上试验中,深度神经网络的平均正确率达到96.0%,进一步验证了所提出方法的有效性。     

基于石墨烯/石墨烯卷轴复合薄膜高灵敏度柔性压力传感器

一维导电材料例如纳米线,大量应用于柔性压力传感器中. 但是一维材料和基底之间接触时相互作用力较弱,使得传感器灵敏度、响应时间、和循环寿命等性能指标有待进一步提高. 针对这些问题,设计了石墨烯/石墨烯卷轴多分子层复合薄膜作为传感器导电层. 石墨烯卷轴具有一维结构,而石墨烯的二维结构可以牢固地固定卷轴,以确保高导电性复合薄膜与基底之间的粘附性,同时整体结构的导电通道得到了增加. 由于一维和二维结构的协同效应,实现了应变灵敏度系数3.5 kPa^-1、 响应时间小于50 ms、能够稳定工作1000次以上的压阻传感器.