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BIS Self-Study Appendices - University of Nebraska Omaha

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Overview:<br />

The Blackforest Computing Cluster was funded through the National Science Foundation's Biomedical<br />

Research Infrastructure Network, and is located in the College <strong>of</strong> Information Science and Technology at<br />

the <strong>University</strong> <strong>of</strong> <strong>Nebraska</strong> at <strong>Omaha</strong>. The Blackforest is one <strong>of</strong> four clusters in <strong>Nebraska</strong> funded through<br />

BRIN, each capable <strong>of</strong> utilizing the computational power <strong>of</strong> the others in times <strong>of</strong> need.<br />

Currently the Blackforest Cluster at the <strong>University</strong> <strong>of</strong> <strong>Nebraska</strong> at <strong>Omaha</strong> consists <strong>of</strong> forty nodes, which<br />

run MPICH. MPICH is a freely available, portable implementation <strong>of</strong> MPI, the Standard for messagepassing<br />

libraries. Message passing is a paradigm used widely on certain classes <strong>of</strong> parallel machines<br />

especially those with distributed memory. There is also a proprietary web interface solution we call<br />

"Nazo". This interface allows chemical and biomedical researchers to manage their interaction with the<br />

cluster in a simple, easy to understand manner. All results are stored locally, so that researchers can<br />

retrieve any query/job run in the past. In addition, researchers can apply to house their own custom<br />

BLAST databases on the cluster, for faster searches with near real-time updatability.<br />

Chronoscope<br />

Location: PKI366<br />

Director: Dr. Parvathi Chundi<br />

Technical Contact: Mohammad Shafiullah - mshafiullah.ne@gmail.com<br />

Equipment:<br />

3 Dell Desktops<br />

1 IBM Desktop<br />

1 Server(IBM)<br />

Overview:<br />

The objective <strong>of</strong> this project is to extract temporal information by constructing several time<br />

decompositions (time points). Now we are studying the time decomposition problem in the context <strong>of</strong><br />

medical research abstracts. We extract temporal information pertaining to a disease or an organism by<br />

constructing several time decompositions <strong>of</strong> research abstracts and by correlating the meta-information<br />

associated with the abstracts. This experimental study will demonstrate the effectiveness <strong>of</strong> the time<br />

decomposition method on research journal articles in the medical domain.<br />

CMJSP<br />

Website: http://cmjsp.ist.unomaha.edu/<br />

Technical Contact: Mohammad Shafiullah - mshafiullah.ne@gmail.com<br />

Overview:<br />

This site is designed to help intermediate and advanced students <strong>of</strong> the Japanese language further<br />

develop their language skills. It works by having the user create lists <strong>of</strong> kanji or words they wish to study<br />

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