Some analysis on mobile-agent based network routing

©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Deployment of mobile agents in network-based applications has attracted lots of attentions in recent years. How to control the activities of agents is crucial for effective application of mobile agents. This paper focuses on the application of mobile agents in network routing. Two important activity properties of mobile agents are identified: the probability of success (the probability of finding the destination) and the distribution of mobile agents running in the network. To our knowledge, little work has been done on these two aspects. Our results show that the number of mobile agents can be controlled by adjusting the number of agents generated per request and the number of jumps each mobile agent can move. Thus, we can improve network performance by tuning relevant parameters.Wenyu Qu, Hong She

Do Anionic Titanium Dioxide Nano-Clusters Reach Bulk Band Gap? A Density Functional Theory Study

The electronic properties of both neutral and anionic (TiO2)n (n = 1-10) clusters are investigated by extensive density functional theory calculations. The predicted electron detachment energies and excitation gaps of anionic clusters agree well with the original experimental anion photoelectron spectra (APES). It is shown that the old way to analyze APES tends to overestimate vertical excitation gaps (VGA) of large anionic clusters, due to the nature of multiple electronic origins for the higher APES bands. Moreover, the VGA of anionic TiO2 clusters are evidently smaller than those of neutral clusters, which may also be the case for other metal oxide clusters with high electron affinity

Theoretical analysis on a traffic-based routing algorithm of mobile agents

© 2005 IEEE.In this paper, we propose a mobile agent-based routing algorithm in which the traffic cost is considered. We define a traffic cost function for each link based on known traffic information and find the probability distribution that mobile agents may select a neighboring node and move to. We theoretically analyze the probability distribution and provide the optimal probability distribution that makes inference on the known traffic information and approximates to a unbiased distribution.Wenyu Qu, Hong Shen, Yingwei Ji

Correlation length of hydrophobic polyelectrolyte solutions

The combination of two techniques (Small Angle X-ray Scattering and Atomic Force Microscopy) has allowed us to measure in reciprocal and real space the correlation length $\xi$ of salt-free aqueous solutions of highly charged hydrophobic polyelectrolyte as a function of the polymer concentration $C_p$, charge fraction $f$ and chain length $N$. Contrary to the classical behaviour of hydrophilic polyelectrolytes in the strong coupling limit, $\xi$ is strongly dependent on $f$. In particular a continuous transition has been observed from $\xi \sim C_p^{-1/2}$ to $\xi\sim C_p^{-1/3}$ when $f$ decreased from 100% to 35%. We interpret this unusual behaviour as the consequence of the two features characterising the hydrophobic polyelectrolytes: the pearl necklace conformation of the chains and the anomalously strong reduction of the effective charge fraction.Comment: 7 pages, 5 figures, submitted to Europhysics Letter

Product-Based Neural Networks for User Response Prediction

Predicting user responses, such as clicks and conversions, is of great importance and has found its usage inmany Web applications including recommender systems, webs earch and online advertising. The data in those applications is mostly categorical and contains multiple fields, a typical representation is to transform it into a high-dimensional sparse binary feature representation via one-hot encoding. Facing with the extreme sparsity, traditional models may limit their capacity of mining shallow patterns from the data, i.e. low-order feature combinations. Deep models like deep neural networks, on the other hand, cannot be directly applied for the high-dimensional input because of the huge feature space. In this paper, we propose a Product-based Neural Networks (PNN) with an embedding layer to learn a distributed representation of the categorical data, a product layer to capture interactive patterns between interfieldcategories, and further fully connected layers to explore high-order feature interactions. Our experimental results on two-large-scale real-world ad click datasets demonstrate that PNNs consistently outperform the state-of-the-art models on various metrics

Evaluation of Therapeutic Effects of Radiotherapy during Treatment of Lung Adenocarcinoma in Mice with Positron Emission Tomography Imaging of 18F-FLT and 18F-FDG

Purpose: To assess the role of 3'-deoxy-3'-18F-fluoro-thymidine (18F-FLT) and 2'-deoxy-2'-18F-fluorodeoxy- glucose (18F-FDG) positron emission tomography (PET) imaging in the evaluation of the therapeutic effects of radiotherapy during treatment of lung adenocarcinoma.Methods: Eighteen mice with lung adenocarcinoma were randomly divided into 2 groups; each group was randomly paired and evenly divided into three smaller groups, namely, A, B and C. Group A served as the control group without any treatment; mice in group B were received radiotherapy in sites of tumor. A single dose of 2000 cGy, 6MV x-ray was used in this experiment; mice in group C also received radiotherapy at sites of tumors two days before the experiment using the same procedure and dose as group B. Micro PET imaging was taken after intravenous injection of 18F-FLT and 18F-FDG through the mice’s tail.Results: The intake ratio of 18F-FLT and 18F-FDG was much higher at the tumor sites. After radiotherapy, 18F-FLT uptake was significantly lower than that of the control group (p < 0.05), while there was no obvious change of 18F-FDG uptake. There was a significant decrease in T/NT value of FLT PET imaging group 24 and 48 h after radiotherapy; a significant difference could be seen, compared with that before radiotherapy (p < 0.05).Conclusion: Change in 18F-FLT uptake induced by radiotherapy is more sensitive than that of 18F-FDG. Intake of 18F-FLT is lowered more significantly after radiotherapy than that of 18F-FDG, and this can serve as evidence that 18F-FLT is an effective tracer to monitor the therapeutic effect of radiotherapy on malignant tumors.Keywords: 3'-deoxy-3'-18F-fluoro-thymidine, 2'-deoxy-2'-18F-fluoro-deoxy-glucose, Radiotherapy, Positron Emission Tomography Imaging, Cell Proliferation, Lung Adenocarcinom