Software data collection tools

The CamuS system consists of a number of components, both hardware and software, as shown in Figure 1. The hub of the system is the data acquisition unit, which collects and stores ultrasonic data in the form of RF waveforms. An accurate probe position monitor provides information on the location and orientation of the probe as it is scanned over the test object. Software tools have been developed to provide assistance to the user with preparing inspection procedures according to the requirements of prEN1714 with visualising the data, in relation to the test object with making measurements of any indications present and with classifying indications. 

Software tools for virtual screening can be best classified by the input data available for screening. On the one side, there is always a collection of compounds to be screened, which differs in size (from a few tens to several millions) and in structure (from structurally unrelated compounds via combinatorial libraries to chemistry spaces). On the other side, there is the data that is used to create the screening query, which can be a protein structure, a known active compound or a pharmacophore created from several known actives (see Figure 4.1). In summary, we are ending up with four classes of screening tools ... 

The second area of progressive development will be in the area of very specialized data collection mediums. We foresee a major extension in the area of direct data input using interactive video terminals built within the sensory evaluation booths. Although this will take a fairly extensive development in the area of software, the gains to be reaped by the development will far exceed the development costs itself. A large area of research has yet to be conducted concerning the application of microcomputers in sensory analysis as a data collection tool. Studies of inherent bias, effects on response freedom etc. will have to be undertaken in order to properly evaluate the computer as a data acquisition tool. Biases based on the way the software... 

The process of data collection at the installation level could be positively evaluated. It reached 2% concordance with evaluation at the macro level. The software tools used, formal procedures, and wide support of the process by detailed instructions, consultations, meetings and the WWW proved their usefulness. 

Healthcare Cost and Utilization Project (HCUPnet). Rockville, MD Agency for Healthcare Research and Quality. URL http // www.hcup.ahrq.gov. Family of healthcare databases and software tools based on statewide data collected by individual hospitals and service providers across the United States. Databases include the Nationwide Inpatient Sample (NIS), the Kids Inpatient Database (KID), the State Inpatient Databases (SID), the State Ambulatory Surgery Databases (SASD), and the State Emergency Department Databases (SEDD). Searchable by diagnosis, procedure, and ICD codes. Available online. 

Some bioinformatics software tools for proteomics combine data analysis, statistics and artificial intelligence methods to manage MS data, to identify proteins and to update databases. In this section, specific tools used to identify proteins are reviewed. They use lists of peptide mass values from MS or MS/MS as input, and they may also combine this information with amino acid sequence tag information or amino acid composition to enhance the identification of proteins. Figure 6 shows a simplified flow chart of sample preparation and MS data collection. It also shows the techniques and tools for protein identification described in this section. 

Using a software tool (RehaSoft Corporation2007), and taking into accoimt the collected data, it was selected the bi-parametric Weibull distribution as the most adequate one, with the following parameters e = 2.3439 (shape parameter)... 

A key issue for the successful future use of this strategy for data collection is the need for continuing improvements to software tools to allow metabolites to be identified, localized, and reported efficiently. 

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