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MFV-class: a multi-faceted visualization tool of object classes.

Classes are key software components in an object-oriented software system. In many industrial OO software systems, there are some classes that have complicated structure and relationships. So in the processes of software maintenance, testing, software reengineering, software reuse and software restructure, it is a challenge for software engineers to understand these classes thoroughly. This paper proposes a class comprehension model based on constructivist learning theory, and implements a software visualization tool (MFV-Class) to help in the comprehension of a class. The tool provides multiple views of class to uncover manifold facets of class contents. It enables visualizing three object-oriented metrics of classes to help users focus on the understanding process. A case study was conducted to evaluate our approach and the toolkit.

Computer Graphics↗

PrediSi: prediction of signal peptides and their cleavage positions.

We have developed PrediSi (Prediction of Signal peptides), a new tool for predicting signal peptide sequences and their cleavage positions in bacterial and eukaryotic amino acid sequences. In contrast to previous prediction tools, our new software is especially useful for the analysis of large datasets in real time with high accuracy. PrediSi allows the evaluation of whole proteome datasets, which are currently accumulating as a result of numerous genome projects and proteomics experiments. The method employed is based on a position weight matrix approach improved by a frequency correction which takes in to consideration the amino acid bias present in proteins. The software was trained using sequences extracted from the most recent version of the SwissProt database. PrediSi is accessible via a web interface. An extra Java package was designed for the integration of PrediSi into other software projects. The tool is freely available on the World Wide Web at http://www.predisi.de.

Bacterial Proteins↗

Mapping. Using specialized software as a competitive tool.

Cost pressures of managed care, consolidation of health care organizations and the need to effectively spend marketing dollars are strengthening demand for geographic information systems. Providers, payers and others are using the software to convert a wide variety of information into easy-to-understand maps and reports.

Catchment Area, Health↗

Linkage analyses in type I diabetes mellitus using CASPAR, a software and statistical program for conditional analysis of polygenic diseases.

We have developed software and statistical tools for linkage analysis of polygenic diseases. We use type I diabetes mellitus (insulin-dependent diabetes mellitus, IDDM) as our model system. Two susceptibility loci (IDDM1 on 6p21 and IDDM2 on 11p15) are well established, and recent genome searches suggest the existence of other susceptibility loci. We have implemented CASPAR, a software tool that makes it possible to test for linkage quickly and efficiently using multiple polymorphic DNA markers simultaneously in nuclear families consisting of two unaffected parents and a pair of affected siblings (ASP). We use a simulation-based method to determine whether lod scores from a collection of ASP tests are significant. We test our new software and statistical tools to assess linkage of IDDM5 and IDDM7 conditioned on analyses with 1 or 2 other unlinked type I diabetes susceptibility loci. The results from the CASPAR analysis suggest that conditioning of IDDM5 on IDDM1 and IDDM4, and of IDDM7 on IDDM1 and IDDM2 provides significant benefits for the genetic analysis of polygenic loci.

Alleles↗

Software breakthrough makes data sharing easy.

Technical barriers have made sharing health care data difficult among systems with different data collection tools and software; modifications to data collection tools also present difficulties when comparing new data with old. Software program standardizes indicators or questions so sharing data becomes easier. Data bank of thousands of indicators or questions are stored making survey development much easier.

Data Collection↗

Database technology for medical records.

Paper truncation may be the first goal that comes to mind when people think of computerized medical records, but this is probably the least realistic goal at present. Structuring a medical records system to improve record quality and to open the door to data analysis are two more realistic goals. Of the many significant barriers to computerized medical records, the most serious is the lack of agreement in the medical community regarding what should go into a medical record. Even small steps in that area should bring major improvements in available medical records software. Choosing a database for medical records requires familiarity with database principles and a detailed understanding of data needs. The safe choice is an SQL-based relational database, but a smaller system will suffice if present and future medical records challenges are small enough. The rate of change in the computer world is increasing all the time. Emerging and maturing technologies that can have a significant impact on medical records software include data entry tools such as the mouse, pen, and voice; better data retrieval tools such as GUIs and 4GLs; and software tools that use rules, pattern-matching, hypermedia links, and fuzzy logic to create systems that seem to think like humans. While computerized medical records systems are not yet comparable with medical office management systems, they should be someday. In the meantime, smart physicians will begin exploring possibilities on their own in order to reap some benefits at an early stage and to be better prepared when the tide finally turns.

Databases, Factual↗

A multimedia perioperative record keeper for clinical research.

OBJECTIVE: To develop a multimedia perioperative recordkeeper that provides: 1. synchronous, real-time acquisition of multimedia data, 2. on-line access to the patient's chart data, and 3. advanced data analysis capabilities through integrated, multimedia database and analysis applications. DESIGN: To minimize cost and development time, the system design utilized industry standard hardware components and graphical. software development tools. The system was configured to use a Pentium PC complemented with a variety of hardware interfaces to external data sources. These sources included physiologic monitors with data in digital, analog, video, and audio as well as paper-based formats. DEVELOPMENT: The development process was guided by trials in over 80 clinical cases and by the critiques from numerous users. As a result of this process, a suite of custom software applications were created to meet the design goals. The Perioperative Data Acquisition application manages data collection from a variety of physiological monitors. The Charter application provides for rapid creation of an electronic medical record from the patient's paper-based chart and investigator's notes. The Multimedia Medical Database application provides a relational database for the organization and management of multimedia data. The Triscreen application provides an integrated data analysis environment with simultaneous, full-motion data display. CONCLUSION: With recent technological advances in PC power, data acquisition hardware, and software development tools, the clinical researcher now has the ability to collect and examine a more complete perioperative record. It is hoped that the description of the MPR and its development process will assist and encourage others to advance these tools for perioperative research.

Database Management Systems↗

High-tech software sleuthing. New computer tools give government tighter handle on hard-to-track healthcare fraud.

After developing new data-mining techniques, the government no longer needs to rely on outdated methods when investigating allegations of hard-to-track healthcare fraud. Today, federal officials, such as U.S. Deputy Attorney General Eric Holder Jr. (left), have an enhanced ability to collect and analyze massive amounts of financial and medical information necessary to successfully prosecute perpetrators of crimes that drain the Medicare program.

Aged↗

Development and validation of evolutionary algorithm software as an optimization tool for biological and environmental applications.

A flexible, extendable tool for the optimization of (micro)biological processes and protocols using evolutionary algorithms was developed. It has been tested using three different theoretical optimization problems: 2 two-dimensional problems, one with three maxima and one with five maxima and a river autopurification optimization problem with boundary conditions. For each problem, different evolutionary parameter settings were used for the optimization. For each combination of evolutionary parameters, 15 generations were run 20 times. It has been shown that in all cases, the evolutionary algorithm gave rise to valuable results. Generally, the algorithms were able to detect the more stable sub-maximum even if there existed less stable maxima. The latter is, from a practical point of view, generally more desired. The most important factors influencing the convergence process were the parameter value randomization rate and distribution. The developed software, described in this work, is available for free.

Algorithms↗