15,977 research outputs found
Photocatalytic activity, optical and ferroelectric properties of Bi0.8Nd0.2FeO3 nanoparticles synthesized by sol-gel and hydrothermal methods
In this study, the effects of synthesis method and dopant Neodymium ion on
the ferroelectric properties and photocatalytic activity of bismuth ferrite
were studied. BiFeO3 (BFO) and Bi0.8Nd0.2FeO3 (BNFO) nanoparticles were
prepared through a facile sol-gel combustion (SG) and hydrothermal (HT)
methods. The as-prepared products were characterized by X-ray powder
diffraction (XRD), Furrier transform infrared spectroscopy (FTIR) and
transmission electron microscope (TEM) images. Both nanophotocatalysts have
similar crystal structures, but the SG products have semi-spherical morphology.
On the other hand, HT samples have rod-like morphology. TEM results indicated
that the morphology of products was not affected by the doping process. The
thermal, optical and magnetic properties of nanoparticles were investigated by
thermogravitometry and differential thermal analysis (TG/DTA), UV-vis
spectroscopy, and vibrating sample magnetometer (VSM). The ferroelectric
properties of BNFO nanoparticles were improved compared to the undoped bismuth
ferrite. The photocatalytic activity of as-synthesized nanoparticles was also
evaluated by the degradation of methyl orange (MO) under visible light
irradiation. The photocatalytic activity of nanoparticles prepared via sol-gel
method exhibited a higher photocatalytic activity compared to powders obtained
by hydrothermal method. Also substitution of Nd into the BFO structure
increased the photocatalytic activity of products
Investigation of Zero-Modes for a Dynamical D-Brane
In this article, we investigate zero-modes for a dynamical (rotating-moving)
D-brane, coupled to the electromagnetic and tachyonic background fields.
This work is done by the boundary state methods, in three cases of bosonic and
fermionic boundary states and superstring partition function. By analyzing the
obtained zero-modes in either of the cases, interesting results will be
obtained. Our findings demonstrate the importance of the zero-mode and its
effects on the background fields and the defined internal properties of the
described system.Comment: 15 pages, 1 tabl
DHLP 1&2: Giraph based distributed label propagation algorithms on heterogeneous drug-related networks
Background and Objective: Heterogeneous complex networks are large graphs
consisting of different types of nodes and edges. The knowledge extraction from
these networks is complicated. Moreover, the scale of these networks is
steadily increasing. Thus, scalable methods are required. Methods: In this
paper, two distributed label propagation algorithms for heterogeneous networks,
namely DHLP-1 and DHLP-2 have been introduced. Biological networks are one type
of the heterogeneous complex networks. As a case study, we have measured the
efficiency of our proposed DHLP-1 and DHLP-2 algorithms on a biological network
consisting of drugs, diseases, and targets. The subject we have studied in this
network is drug repositioning but our algorithms can be used as general methods
for heterogeneous networks other than the biological network. Results: We
compared the proposed algorithms with similar non-distributed versions of them
namely MINProp and Heter-LP. The experiments revealed the good performance of
the algorithms in terms of running time and accuracy.Comment: Source code available for Apache Giraph on Hadoo
A study of the processes in the RF hydrogen gas dissociator
The role of the RF gas dissociator in the hydrogen maser is examined. Based on collisional and plasma transport processes, the performance of the source is investigated. It is found that while the complexity of the collisional processes in the RF dissociator prohibits an easily obtained quantitative expression for the performance of the source, it is nevertheless possible to make general inferences concerning the qualitative performance based on collisional effects. An analytical expression for the efficiency of the source in atom production is obtained based on plasma transport processes. On the basis of this study some recommendations are made for the development of more efficient RF hydrogen gas dissociators for use in masers
From compression to compressed sensing
Can compression algorithms be employed for recovering signals from their
underdetermined set of linear measurements? Addressing this question is the
first step towards applying compression algorithms for compressed sensing (CS).
In this paper, we consider a family of compression algorithms ,
parametrized by rate , for a compact class of signals \mathcal{Q} \subset
\mathds{R}^n. The set of natural images and JPEG at different rates are
examples of and , respectively. We establish a
connection between the rate-distortion performance of , and the
number of linear measurements required for successful recovery in CS. We then
propose compressible signal pursuit (CSP) algorithm and prove that, with high
probability, it accurately and robustly recovers signals from an
underdetermined set of linear measurements. We also explore the performance of
CSP in the recovery of infinite dimensional signals
Entanglement of Grassmannian Coherent States for Multi-Partite n-Level Systems
In this paper, we investigate the entanglement of multi-partite Grassmannian
coherent states (GCSs) described by Grassmann numbers for degree of
nilpotency. Choosing an appropriate weight function, we show that it is
possible to construct some well-known entangled pure states, consisting of {\bf
GHZ}, {\bf W}, Bell, cluster type and bi-separable states, which are obtained
by integrating over tensor product of GCSs. It is shown that for three level
systems, the Grassmann creation and annihilation operators and
together with form a closed deformed algebra, i.e., with
, which is useful to construct entangled qutrit-states.
The same argument holds for three level squeezed states. Moreover combining the
Grassmann and bosonic coherent states we construct maximal entangled super
coherent states
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