Zeeman-split mesoscopic transport through a normal-metal–quantum-dot–superconductor system with ac response

We have investigated the Zeeman-split mesoscopic transport through the normal-metal–quantum-dot–superconductor system applied with a microwave field. We employ BCS theory to describe the Hamiltonian of the superconducting lead. The time-averaged tunneling current formula is derived by using the Keldysh’s nonequilibrium Green-function technique in the Nambu representation. The multilevel quantum dot is considered for the noninteraction system in the calculations. The spin split Andreev reflection and photon-electron pumping behaviors are investigated in the presence of a Zeeman magnetic field. The resonant structure versus Zeeman energy and gate voltage is revealed. The Zeeman-split photon-assisted I-V characteristics are evaluated for the single-channel quantum-dot system. By adjusting the Zeeman magnetic field, we can obtain a large resonant tunneling current even if in the Andreev reflection regime. The current appears to have interesting structures versus Zeeman energy for the multichannel quantum-dot system associated with a different gate voltage. The negative and positive current appear in the symmetric forms by controlling the Zeeman field.published_or_final_versio

Coherent mesoscopic transport through a quantum-dot embedded carbon nanotube ring threaded with magnetic flux

We have investigated the coherent mesoscopic transport through a quantum-dot (QD) embedded carbon nanotube ring (CNR) by employing the nonequilibrium Green's function (NGF) technique. The Landauer–Büttiker-like formula is presented to calculate the differential conductance and current–voltage characteristics. Due to the interference of the electrons transporting in the two paths of CNR, the resultant conductivity of electron through the system is determined by the compound concrete structure of CNR–QD system. The tunneling current appears quantum behavior obviously in the small region of source-drain bias. The conductance is adjusted by the gate voltage Vg and the magnetic flux φ. The reversal resonance has been displayed versus the gate voltage, and it is symmetric about Vg for the type I CNR, but it is asymmetric for the type II CNR. The phase inverse oscillations are also presented for the different types of CNRs.postprin

Mesoscopic transport through toroidal carbon nanotubes threaded with a THz magnetic flux

We have investigated the quantum transport through mesoscopic systems with a toroidal carbon nanotube coupled with two metal leads (N-TCN-N) threaded with an ac magnetic flux. The energy shifting takes place by applying the magnetic flux, and this shifting arises from both the dc and ac components of magnetic flux. The dc magnetic flux induces the periodic variation of energy gap E g of the TCN, and the ac magnetic flux component always increases the energy gap. As the photon energy is larger than the energy gap , the electrons in the valence band can jump to the conductance band at zero temperature, and the tunneling current appears for , ( ). The differential conductance and tunneling current display clear effect of ac flux by modifying the current oscillation structures. The photon-assisted tunneling current exhibits stair-like I-V characteristics, and it shows different behaviors for different TCN systems. The magnitude of the current is suppressed by the applied ac flux. We also present the time-dependent current evolution, which is contributed by the oscillating current components.postprin

Use of Clinpro Cario in diagnosing childhood caries

Abstract no. 0700published_or_final_versio

Photon-assisted mesoscopic transport through a toroidal carbon nanotube coupled to normal metal leads

The mesoscopic transport through a toroidal carbon nanotube (TCN) system applied with ac fields to the electrodes has been investigated by employing the nonequilibrium Green's function (NGF) technique. The Landauer–Büttiker-like formula is presented for numerical calculations of differential conductance and tunneling current. The conductance resonance takes place due to the electrons resonating in the quantum levels of TCN and side-band caused by the external ac fields. The photon-assisted transport can be observed both in conductance oscillation and current oscillation with respect to the magnetic flux. The side peaks and current suppressions are the main effect of photon absorption and emission in the transport procedure. The stair-like current–voltage characteristics are resulted from the quantum nature of TCN and applied microwave fields. The photon–electron pumping effect can be obtained by applying the microwave fields to the leads.postprin

NRProF: Neural response based protein function prediction algorithm

A large amount of proteomic data is being generated due to the advancements in high-throughput genome sequencing. But the rate of functional annotation of these sequences falls far behind. To fill the gap between the number of sequences and their annotations, fast and accurate automated annotation methods are required. Many methods, such as GOblet, GOfigure, and Gotcha, are designed based on the BLAST search. Unfortunately, the sequence coverage of these methods is low as they cannot detect the remote homologues. The lack of annotation coverage of the existing methods advocates novel methods to improve protein function prediction. Here we present a automated protein functional assignment method based on the neural response algorithm, which simulates the neuronal behavior of the visual cortex in the human brain. The main idea of this algorithm is to define a distance metric that corresponds to the similarity of the subsequences and reflects how the human brain can distinguish different sequences. Given query protein, we predict the most similar target protein using a two layered neural response algorithm and thereby assigned the GO term of the target protein to the query. Our method predicted and ranked the actual leaf GO term among the top 5 probable GO terms with 87.66% accuracy. Results of the 5-fold cross validation and the comparison with PFP and FFPred servers indicate the prominent performance by our method. The NRProF program, the dataset, and help files are available at http://www.jjwanglab.org/NRProF/. © 2011 IEEE.published_or_final_versionThe 2011 IEEE International Conference on Systems Biology (ISB), Zhuhai, China, 2-4 September 2011. In Conference Proceedings, 2011, p. 33-4

Investigation of the Effect of e-Platform Information Security Breaches: A Small and Medium Enterprise Supply Chain Perspective

Many small and medium enterprises (SMEs) engage in dyadic information integration partnerships or partial integration with their direct suppliers and customers. They often utilise e-commerce or cloud computing technology platforms hosted by third-party providers to leverage such partnerships. However, information security breaches and disruptions caused by cyber-attacks are commonplace in the IT industry. The effects of said disruptions and breaches on e-commerce businesses under varied disruption conditions are still uncertain. Furthermore, the effect of security breaches on non-participating members of the supply chain is poorly understood, especially under various disruption profiles. Using discrete event modelling, this study explores the impact of disruption caused by information security breaches on supply chain performance and the externality effect of partial integration on non-participants. We also examine the impact of breach disruption frequency and remediation length on supply chain performance with varying levels of information sharing. These impacts were studied under two typical inventory replenishment policies for SMEs. It was determined that remediation length should be a prioritised factor in impact management and that flexibility in the inventory replenishment policy can help mitigate the impact of information disruption on the inventory performance of businesses, especially that of non-participants, in information-sharing partnerships

Constrained one-bit transform for retinex based motion estimation for sequences with brightness variations

Author name used in this publication: Dagan FengRefereed conference paper2007-2008 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

Retinex based motion estimation for sequences with brightness variations and its application to H.264

Dagan FengRefereed conference paper2007-2008 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe