Large area nanosize array stamp for UV-based nanoimprint lithography fabricated by size reduction process
A novel size reduction process using electron beam lithography (EBL) combining with wet etching technique is developed as a possible solution for producing large area and low cost nanopattern stamp for UV-based nanoimprint lithography (UV-NIL). In the first step, a microstructure stamp with 1.4@mm periodical pore array and aspect ratio of 1:1 was formed over a 1inch^2 area on a quartz substrate. This process was carried out using common electron beam lithography (EBL) equipment, which was easily available in the modern integrated circuits (IC) semiconductor factory. Afterwards, with a controlled wet etching technique, the pore array was changed into tip patterns with the line width below 100nm and the period keeping as before. The uniformities and nanopattern accuracies were investigated to identify its possibility as a UV-NIL stamp by AFM and SEM. Finally, as a demonstration, the as obtained stamp was used as a positive stamp to replicate the nanotips into UV-curable resist successfully by a UV-NIL process. The method developed for the mold of nanoimprint lithography would be a simple and low price approach to fabricate large area UV-NIL stamp and the nanotip array structures would be widely used in two dimensional (2D) photonic crystal application.

title: Fabrication, constructions and electrical property of Si2Sb2Te5 electrical probe storage system
abstract: A Si2Sb2Te5 (SST) memory array with density of 4 Gbit/in.2 was fabricated by ultraviolet-imprint lithography. The contacted area of SST with electrodes in memory cell was 0.0392 μm2. Crystal structure transformation of SST film was studied. Adhesion strength of sample interface was tested by Nano Indenter®. Electrical property of SST electrical probe storage (EPS) system was measured. Resistance of as-deposited SST film was about four orders of magnitude higher than that of the one annealed at 350°C. Resistance of EPS cell dropped about two orders from high-resistance state to low-resistance state.

title: Spectral decomposition approach for transient analysis of multi-server discrete-time queues
abstract: Previous work by the authors  where the spectral decomposition method was used for the transient analysis of a single-server queue is generalized. For the arrival process a general discrete-time Markovian batch arrival process is assumed, where the batch size distribution of the arrivals in successive slots is governed by a N-state discrete-time Markov chain. It is shown that once the N eigenvalues of the probability generating matrix of the arrival process are obtained, the complete solution in the transform domain may be given. Using the complex analysis technique and Cauchy's integral formula, an efficient numerical method is presented for the calculation of a few performance measures. The numerical method is generalized to the situations where the superpositions of a number of independent arrival sources are fed to the queue. It is shown that the numerical complexity are fed to the queue. It is shown that the numerical complexity of obtaining the transient solution in this case can be substantially reduced by using an approach based on the Kronecker product.<<ETX>>

title: Increase of potential intellectual bandwidth in a scientific community through implementation of an end-user information system
abstract: Qureshi, et al. (2002) presented a case study where they used a framework, the intellectual bandwidth model to measure an organization's ability to create value. The model consists of two dimensions, information assimilation and collaboration. The IB model is a useful tool for managers because it enables them to plan solutions to complex business problems and to easily communicate these plans to key individuals. The model can also serve as a guide when making investment decisions. While it is important to increase an organization's intellectual bandwidth, it is equally important to assure that the resulting increase is employed to improve the organization's ability to innovate since, as it has been shown, innovation is the number one creator of organizational wealth (Baum et al., 2000). In this paper we discuss how intellectual bandwidth as proposed by Nunamaker et al. (2001) can be extended beyond the highest level of information assimilation identified in the model, automated sense-making, to ensure implementation of product innovations. To do this we propose adding two new information assimilation features, automated utilization and automated implementation. A real business example from the bioscience industry is presented in order to demonstrate how the IB model with extensions can be used. The study discusses an end-user information system, its current use and its potential to enhance an organization's value-creating capability.

title: Arnetminer: expertise oriented search using social networks
abstract: Expertise Oriented Search (EOS) aims at providing comprehensive expertise analysis on data from distributed sources. It is useful in many application domains, for example, finding experts on a given topic, detecting the confliction of interest between researchers, and assigning reviewers to proposals. In this paper, we present the design and implementation of our expertise oriented search system, Arnetminer (http://www.arnetminer.net). Arnetminer has gathered and integrated information about a half-million computer science researchers from the Web, including their profiles and publications. Moreover, Arnetminer constructs a social network among these researchers through their co-authorship, and utilizes this network information as well as the individual profiles to facilitate expertise oriented search tasks. In particular, the co-authorship information is used both in ranking the expertise of individual researchers for a given topic and in searching for associations between researchers. We have conducted initial experiments on Arnetminer. Our results demonstrate that the proposed relevancy propagation expert finding method outperforms the method that only uses person local information, and the proposed two-stage association search on a large-scale social network is order of magnitude faster than the baseline method.

title: Speechalator: Two-Way Speech-to-Speech Translation in Your Hand
abstract: This demonstration involves two-way automatic speech-to-speech translation on a consumer off-the-shelf PDA. This work was done as part of the DARPA-funded Babylon project, investigating better speech-to-speech translation systems for communication in the field. The development of the Speechalator software-based translation system required addressing a number of hard issues, including a new language for the team (Egyptian Arabic), close integration on a small device, computational efficiency on a limited platform, and scalable coverage for the domain.

title: Toward Protein Structure Analysis with Self-Organizing Maps
abstract: Establishing structure-function relationships on the proteomic scale is a unique challenge faced by bioinformatics and molecular biosciences. Large protein families represent natural libraries of analogues of a given catalytic or protein function, thus making them ideal targets for the investigation of structure-function relationships in proteins. To this end, we have developed a new technique for analyzing large amounts of detailed molecular structure information focusing on the functional centers of homologous proteins. Our approach uses unsupervised machine learning, in particular, self-organizing maps. The information captured by a self-organizing map and stored in its reference models highlights the essential structure of the proteins under investigation and can be effectively used to study detailed structural differences and similarities among homologous proteins. Our preliminary results obtained with a prototype based on these techniques demonstrate that we can classify proteins and identify common and unique structures within a family and, more importantly, identify common and unique structural features of different conformations of the same protein. The approach developed here outperforms many of today’s structure analysis tools. These tools are usually either limited by the number of proteins they can process at the same time or they are limited by the structural resolution they can accommodate, that is, many of the structural analysis tools that can handle multiple proteins at the same time limit themselves to secondary structure analysis and therefore miss fine structural nuances within proteins.