Spectral fluctuation properties of spherical nuclei

The spectral fluctuation properties of spherical nuclei are considered by use of NNSD statistic. With employing a generalized Brody distribution included Poisson, GOE and GUE limits and also MLE technique, the chaoticity parameters are estimated for sequences prepared by all the available empirical data. The ML-based estimated values and also KLD measures propose a non regular dynamic. Also, spherical odd-mass nuclei in the mass region, exhibit a slight deviation to the GUE spectral statistics rather than the GOE.Comment: 10 pages, 2 figure

A Survey of Epidemiological Studies and Risk Factors of ASD, with a Focus on China

Autism spectrum disorder (ASD) is a group of pervasive developmental disorders which usually first appear in childhood. ASD was considered rare in the past, however, it has become a relatively common disease with a dramatic increase of prevalence recently. For years, epidemiological studies for ASD were carried out in many countries and relevant methodologies for investigation have become comparably mature. By the contrary, only a few epidemiological studies for ASD have been completed in China, involving only a small portion of China’s vast population. So far, many explanations for the increased prevalence have been proposed, and yet these studies are almost exclusively conducted in the western world. Research suggests that some environmental risk factors, which may interact with susceptible genes, are likely to play a role in the etiology of ASD. ASD exerts great burden on affected families and the society. Therefore, it’s vital to better define ASD prevalence and understand its risk factors in different regions of the world, in order to help prevent, diagnose and treat this group of diseases.[N A J Med Sci. 2017;10(3):124-132.   DOI:  10.7156/najms.2017.1003124

An Adaptive Target Tracking algorithm for UAVs based on a Pseudo-twin Network

Abstract Target tracking methods based on UAVs (unmanned aerial vehicles) face huge challenges, such as target blockage, viewing angle changes, scale changes and background noise, that can easily lead to low target tracking accuracy and poor robustness. In addition, the traditional neural network online and offline tracking methods easily lead to poor tracking real-time performance because of the limitations of drone target tracking computing. To address the above issues, the adaptive target tracking algorithm for UAVs based on a pseudo twin network (ATTPTN) is proposed. In the ATTPTN methods, the asymmetric pseudo twin network framework consists of the target tracking branch and the template library branch, and target tracking and template updating and selection tasks are performed. Because the fitting ability of the initial target model is gradually weakened, the template library uses a scoring strategy to selectively store the template features intermittently and shares the template input tracking branch with the target feature model for subsequent tracking. The target tracking branch adaptively completes the target tracking task based on an improved kernel density probability estimation method. The experimental simulation results show that compared with the KCF (Kernelized Correlation Filters), DSST (Discriminative Scale Space Tracker), the proposed ATTPTN method routing protocol is superior in terms of accuracy, robustness and expected average overlap.</jats:p

A laterally driven capacitive RF MEMS switch using parylene as dielectric layer

In this paper, we propose a novel laterally driven RF MEMS capacitive switch using parylene as insulation dielectric, taking advantages of low temperature deposition and conformal coating of parylene. The switch consists of three parts, including CPW line, switching plates and actuated structures which are composed of single crystalline silicon (SCS) bonded on the glass substrate. Two actuated structures and switching plates are located at both lateral sides of the RF signal line, which is coated with parylene. The preliminary measured results show that the parylene can completely overlay the sidewall of the signal line and switching plates. The switching time from the open to the close state is 105 mu s, while 15.6 mu s from the close to the open state. For the switch with 80nm-thick parylene, the measured isolation is 16.2dB at 20GHz when both sides are under close state. These results verify that the parylene is a possible candidate to act as sidewall dielectric to realize the lateral capacitive switch.Engineering, Electrical &amp; ElectronicInstruments &amp; InstrumentationEICPCI-S(ISTP)

Tunable magnetic metamaterial based multi-split-ring resonator (MSRR) using MEMS switch components

The split-ring resonator (SRR) arrays are commonly used to form a negative refractive index metamaterial that exhibits an effective negative permeability. However, the region of negative permeability obtained by SRR unit cell is generally limited to a narrow bandwidth at a fixed frequency. In this paper, we present a tunable metamaterial based on multi-split-ring resonators (MSRR) with MEMS switch components to realize controllable magnetic resonant frequency. Numerical simulations are performed to validate the proposed theory and tunability. The simulated results show that the MSRR structure metamaterial can realize digital tuning mode and continuous tuning mode by controlling state and height of MEMS switch components, respectively. Moreover, the simulated results are consistent with the theoretical results, which verify that the proposed theory is effective in prediction and analysis of magnetic resonant frequency. Therefore, such a tunable metamaterial can be reconfigured into a variety of states for use in different applications.Engineering, Electrical &amp; ElectronicNanoscience &amp; NanotechnologyMaterials Science, MultidisciplinaryPhysics, AppliedSCI(E)EI0ARTICLE81263-12691