An Enhanced Hybrid MobileNet

Complicated and deep neural network models can achieve high accuracy for image recognition. However, they require a huge amount of computations and model parameters, which are not suitable for mobile and embedded devices. Therefore, MobileNet was proposed, which can reduce the number of parameters and computational cost dramatically. The main idea of MobileNet is to use a depthwise separable convolution. Two hyper-parameters, a width multiplier and a resolution multiplier are used to the trade-off between the accuracy and the latency. In this paper, we propose a new architecture to improve the MobileNet. Instead of using the resolution multiplier, we use a depth multiplier and combine with either Fractional Max Pooling or the max pooling. Experimental results on CIFAR database show that the proposed architecture can reduce the amount of computational cost and increase the accuracy simultaneously

Missions for Executives in Developing an E-Management Platform

Under the impact of internet, many promises of e-management are provided. However, so far, executives are still skeptical in developing e-management platform, the anxieties come from the fact that too many IT developing projects failed. In practice, IT is a specialty which is quite heterogeneous to business management, to achieve e-management makes the issue of integration of these two domains can not be neglected any more. A failed project is by no means the duty of IT team only; it would be the reason that the interaction between IT team and executives is too weak. To reduce the gaps in platform developing, executives have some missions are offered, they are: a. Let IT group understand executives’ business affairs; b. Review architecture of platform; c. Involve to system test. It deserves to assert that, in developing an e-management platform, executives are not just the users, but also a part of developing members

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Low-Profile Metamaterial-Based Adaptative Beamforming Techniques

In this chapter, we will review recent research advances on beamforming and spatial multiplexing techniques using reconfigurable metamaterials (MTMs) and metasurfaces. This chapter starts by discussing basic principles and practical applications of transmission line-based metamaterials and planar metasurfaces, followed by their active versions that enable novel smart antennas with beam steering and beamshaping functions. We include detailed descriptions of their practical realizations and the integration with circuits and the radio-frequency (RF) frontend, which are used to adaptively and dynamically manipulate electromagnetic radiation. We summarize the state-of-the-art MTM/metasurface-based beamforming techniques and provide a critical comparison for their uses in the RF-to-millimeter-wave range in terms of cost, reconfigurability, system integratability and radiation properties. These techniques are expected to pave the way for the massive deployment of communication, radar, remote sensing and medical and security imaging systems

CD4+ T cell responses to myelin autoantigens: activation, memory and tolerance

Experimental autoimmune encephalomyelitis (EAE) is a CD4+ T cell mediated autoimmune disease of the central nervous system and shares many characteristics with multiple sclerosis (MS). Induction of EAE is mediated by myelin reactive CD4+ T helper (Th) cells, particularly Th1 and Th17 cells, which can be provoked by the immunization with myelin derived protein (or peptide) and Toll-like receptor (TLR) stimulus (eg, complete Freund¡s adjuvant, CFA). If given an injection of soluble peptide before immunization, mice do not develop EAE (they are tolerant). This approach has been widely applied, evoking tolerance in primary responses (i.e., in naive T cells). Therefore the first hypothesis of this thesis is that peptide induced protection from EAE is a result from T cell deletion or / and anergy. As MS patients have ongoing disease and over 85% of MS patients develop a relapsing-remitting course, memory T cells are key targets when considering peptide-induced tolerance as a therapeutic strategy. Thus, a model for ¡memory EAE¡ was established to test a second hypothesis that the myelin reactive memory T cells can be controlled by the administration of soluble peptide. Here, adoptive transfer of T cells from T cell receptor transgenic mice (2D2) recognizing myelin oligodendrocyte glycoprotein 35-55 (pMOG) was used to investigate the pMOG-reactive memory responses. Soluble pMOG administration could induce a transient expansion of 2D2 T cells followed by their loss through apoptosis. A model using double immunization was established by immunizing mice first with pMOG together with unmethylated CpG oligonucleotide (CpG) as an adjuvant, and subsequently immunizing with pMOG in CFA. This produced EAE with early onset and high incidence compared to mice which received pMOG/CFA only. Cells from mice that received the double immunization protocol produced high levels of IFN-γ, suggesting that memory T cell responses have been triggered in the mice. Administration of soluble peptide before secondary immunization could ameliorate EAE, indicating that memory T cells are susceptible to tolerance induction. pMOG-reactive memory T cells were further assessed by isolating CD4+ CD25- CD44high CD62Llow cells from pMOG-experienced 2D2 mice. These cells showed early and high production of IFN-γ, and early but transient production of IL-2, compared with naive population. These data provide basic information relevant to translating peptide-induced T cell tolerance from mice to humans

Controlled Heterogeneous Nucleation and Growth of Germanium Quantum Dots on Nanopatterned Silicon Dioxide and Silicon Nitride Substrates

Controlled heterogeneous nucleation and growth of Ge quantum dots (QDs) are demonstrated on SiO_2/Si_3N_4 substrates by means of a novel fabrication process of thermally oxidizing nanopatterned SiGe layers. The otherwise random self-assembly process for QDs is shown to be strongly influenced by the nanopatterning in determining both the location and size of the QDs. Ostwald ripening processes are observed under further annealing at the oxidation temperature. Both nanopattern oxidation and Ostwald ripening offer additional mechanisms for lithography for controlling the size and placement of the QDs

Theoretical basis, application, reliability, and sample size estimates of a Meridian Energy Analysis Device for Traditional Chinese Medicine Research

OBJECTIVES: The Meridian Energy Analysis Device is currently a popular tool in the scientific research of meridian electrophysiology. In this field, it is generally believed that measuring the electrical conductivity of meridians provides information about the balance of bioenergy or Qi-blood in the body. METHODS AND RESULTS: PubMed database based on some original articles from 1956 to 2014 and the authoŕs clinical experience. In this short communication, we provide clinical examples of Meridian Energy Analysis Device application, especially in the field of traditional Chinese medicine, discuss the reliability of the measurements, and put the values obtained into context by considering items of considerable variability and by estimating sample size. CONCLUSION: The Meridian Energy Analysis Device is making a valuable contribution to the diagnosis of Qi-blood dysfunction. It can be assessed from short-term and long-term meridian bioenergy recordings. It is one of the few methods that allow outpatient traditional Chinese medicine diagnosis, monitoring the progress, therapeutic effect and evaluation of patient prognosis. The holistic approaches underlying the practice of traditional Chinese medicine and new trends in modern medicine toward the use of objective instruments require in-depth knowledge of the mechanisms of meridian energy, and the Meridian Energy Analysis Device can feasibly be used for understanding and interpreting traditional Chinese medicine theory, especially in view of its expansion in Western countries