Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Data Files”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 73 records · Page 4Linked to original sources
PubMed1980

The environmental symptoms questionnaire: revisions and new filed data.

The Environmental Symptoms Questionnaire (ESQ) was developed to obtain information about the incidence and severity of symptoms produced by exposure to several different climatic conditions. A subsequent revision is reported here, along with a description of its use in two studies involving physical stresses frequently encountered by military personnel. The first study examined the effects of prolonged flight on the health and physical work performance of men assigned to an overseas station. The second study tested the effects of acute altitude exposure on the load-carrying capacity of men over a period of several days. Five independent symptom factors were identified in the data of the first study, and then were applied to the analyses of treatments of both studies. The factor scores exhibited predictable and meaningful data in both cases. The factors are described, results are compared to previous studies, and general recommendations for use of the questionnaire are made.

Aerospace Medicine↗
PubMed1980

Processing haematological data on a dedicated computer.

A system of processing the laboratory data of a busy haematology department serving a teaching group of hospitals and the general practitioners of the district is described. The system, which has been in routine use for over two years, is based on a dedicated CTL8030 computer sited in the laboratory utilising Lynwood visual display units (VDUs) for both input and access to the data files. Data from the Coulter 'S' is fed by an interface to the computer and to other data handling modules. Manual test results are entered via VDUs, mainly by laboratory staff who also validate all data. Access is available to all data for answering telephone requests. Data are retained on the disc file for 48 hours only, and cumulative reporting was not planned into the system as deliberate policy. Quality control of the Coulter 'S' output is maintained both throughout the day and retrospectively at the end of each working day using both whole blood patient blood transfusion profiles, a record of blood and product usage, worksheets, quality control information, end-of-day listing in alphabetical order plus statistical information for administrative purposes. Since its introduction the system has been remarkably free from breakdown as a result of hardware failure. A number of fail safe/fallbacks have been included in the system.

Blood Cell Count↗
PubMed1997

Effects of season, herd size, and geographic region on the composition and quality of milk in the northeast.

Our objectives were to describe the milkshed comprising herds in New York, western New Jersey, and central and eastern Pennsylvania in regard to milk yield, composition, and quality and also to estimate the effects of season, herd size, and geographic area on those same variables. Data were collected from July 1993 through June 1994 from 3450 herds. The effect of a somatic cell count (SCC) limit of 500,000/ml on milk yield and the composition of monthly bulk tank milk for all marketed milk was estimated as was the frequency of deliveries of milk that contained SCC that were greater than this limit. All general linear models for mean monthly yield of milk and milk components (fat and protein) and SCC were significant for fixed effects of month and herd size within quartiles for herd size (defined by the number of lactating cows) and significant absorbed effects of herds within quartiles for herd size within subregion. Milk yield, milk components (kilograms), true protein percentage, and SCC were significantly higher in spring than in fall for both data files (complete data file and data file containing only herds with SCC < 500,000/ml). Thirty-five percent of herds with < 27 lactating cows but only 15.3% of herds with > 62 lactating cows had > or = 1 mo with an SCC > 500,000/ml. For herds in the subregions, percentages of shipments with an SCC > or = 500,000/ml ranged from 10.5 to 20.2%. Herds with < 27 lactating cows contributed to the milkshed a disproportionate percentage of SCC (11%) compared with their percentage of contribution of milk (5%).

Animals↗
PubMed1994

Availability of nuclear decay data in electronic form, including beta spectra not previously published.

The unabridged data used in preparing ICRP Publication 38 (1983) and a monograph of the Medical Internal Radiation Dose (MIRD) Committee (Weber et al. 1989) are now available in electronic form. The "ICRP38 collection" contains data on the energies and intensities of radiations emitted by 825 radionuclides (those in ICRP Publication 38 plus 13 from the MIRD monograph), and the "MIRD collection" contains data on 242 radionuclides. Each collection consists of a radiations data file and a beta spectra data file. The radiations data file contains the complete listing of the emitted radiations, their types, mean or unique energies, and absolute intensities for each radionuclide. The beta spectra file contains, for each beta-emitting radionuclide, the probability that a beta particle will be emitted with kinetic energies defined by a standard energy grid. Although summary information from the radiations data files has been published, neither the unabridged data nor the beta spectra have been published. These data files and a data extraction utility, which runs on a personal computer, are available from the Radiation Shielding Information Center at Oak Ridge National Laboratory.

Databases, Factual↗
PubMed1992

[Management of personal health examination data for a population by use of a portable computer].

A new system was developed for processing annual personal health examination data with a portable microcomputer utilizing commercial software by converting the IBM formatted data file of the law mandated health examination for adults into an MS-DOS file. The sequential data file was further transferred into a random access data file by a simple program and software was developed for the presentation of annual personal data by table and graphs. Printout of data and selected comments filed on disc by the public health nurse or physician could become retrievable. This system is easily operated by a beginner in micro-computers from conversion of the original data to actual demonstration. This system was utilized for a small village of about 700 adults. By using part of the main memory as a RAM disc, presentation of 5 years' data was possible. File capacity was dependent on population size and also on the type of software for Japanese language input. In the case of a larger population, use of hard disc or expansion of memory may be recommended to shorten computer start-up time. Once necessary data has been placed into the field buffer's memory, retrieval of data requires less than one second. The results of health examination were usually provided by hard copies to village. But by use of this system, a more effective transfer of data between computerized systems by using a floppy disc is possible.

Humans↗
PubMedDate not supplied

The use of machine learning program LERS-LB 2.5 in knowledge acquisition for expert system development in nursing.

LERS-LB (Learning from Examples using Rough Sets Lower Boundaries) is a computer program based on rough set theory for knowledge acquisition, which extracts patterns from real-world data in generating production rules for expert system development. From LERS-LB evaluation of an SPSS-X data file containing data for recovery room patients, it was concluded that both statistical data files and existing databases can be converted to decision-table format needed by LERS-LB, but it is less desirable to work with statistical files than a well-developed database. It was also concluded that choosing a well-developed database and checking it thoroughly for accuracy and completeness should be done before running LERS-LB, or other learning programs, to avoid problems with data errors. Using rough set theory and a technique called 'dropping conditions' LERS-LB offers, at least in theory, a possible method for identifying which data items are critical to nursing practice. Further research and continued LERS-LB program enhancements still may help with identifying critical data items versus redundant data for nursing practice. LERS-LB, and other learning programs, offer techniques which will help reduce the knowledge acquisition bottleneck in nursing expert system development. It is doubtful, however, that learning programs will eliminate the need for involving domain experts in evaluating rules and expert systems for clinical decision support.

Artificial Intelligence↗
PubMed2001

CT data storage reduction by means of compressing projection data instead of images: feasibility study.

The authors developed and evaluated a technique of compressing raw projection data at computed tomography (CT). Raw projection data acquired at CT were compressed and decompressed and then used for image reconstruction. For comparison, original images were compressed by comparable ratios. Projection data files were more compressible than image files. Projection data compression is a promising, efficient method to reduce data file size and thus to facilitate retrospective image reconstruction.

Algorithms↗
PubMed2000

Nuclear-labeling index analysis (NLIA), a software package used to perform accurate automation of cell nuclear-labeling index analysis on immunohistochemically stained rat liver samples.

The nuclear labeling index (labeled nuclei/100 nuclei) and the apoptotic index (apoptotic cells/100 cells) are important parameters of cell growth and death. Automatic counting of labeled nuclei is desirable since manual counting is tedious, time-consuming, and with a greater potential for inaccuracies. A nuclear-labeling index analysis (NLIA) software package was developed in this laboratory to perform the counting process automatically and accurately. This software package consists of an application program NLIA and a set of macros for obtaining nuclear data that is used in Scion Image. It is designed to work cooperatively with Scion Image, Adobe Photoshop, and Microsoft Office. NLIA has two basic functions: building nuclear data files and analyzing nuclear data. A color image captured from an immunohistochemically stained or autoradiographic sample is loaded into NLIA. Nuclear data can be entered into the program manually, automatically, or in combination. In the manual data entering mode, NLIA acts as an object-counting tool, while in the automatic mode it acts as a data picker: picking up the data generated by Scion Image into memory. A method to enter nuclear data (both labeled nuclei and unlabeled nuclei) in the automatic mode is described. The color image is processed in Adobe Photoshop, where the interested color ranges are selected and separated. These are then analyzed in Scion Image with the help of the macros for obtaining nuclear data. Since the advanced particle analysis function is used, the counting process is automatic and rapid. Data from thousands of nuclei can be obtained within seconds. To ensure the accuracy of the analysis, a nuclear data checking and edit feature is employed in NLIA: results of computer-generated counting can be compared with the original color image by overlaying the plot of counting results onto the original color image. In this way any computer counting mistakes can be easily discovered and corrected by the operator. Corrected nuclear data (including nuclear size, location, shape) are then stored in data files. These data files can be used in NLIA to obtain cell density and nuclear labeling indices. Because criteria for obtaining nuclear data (truncation diameter, shape factor) can be set by the operator in NLIA, nuclear size distribution and shape variation can be analyzed. This method provides a fast and accurate way to determine cell nuclear-labeling indices. Currently, Scion Image is a freeware on the internet, and NLIA software package is available from our lab home page. Methods presented here expand the Scion Image ability to analyze color images by using color separation techniques in a commercial graphic application. The instrumentation required can be relatively inexpensive, and the methods described may be useful in studies of cell kinetics, lesion growth, and tumor therapy.

Animals↗
PubMed1994

Association of deficiency of uridine monophosphate synthase with production and reproduction.

Interaction between genotype at locus for uridine monophosphate synthase and parity was reexamined for 305-d mature equivalent milk and fat production and calving interval. Three lactations for cows of known genotype defined two data files corresponding to different sampling procedures. The first data file selected by herd contained records on 23 cows that were deficient in activity of uridine monophosphate synthase and on 1081 cows with normal activity; the second data file contained records on 19 cows with deficient activity and on 17 cows with normal activity, all daughters of bulls known to be heterozygous at the locus for uridine monophosphate synthase. Results from the mutually exclusive data files were determined independently and then pooled. Genotype and parity interaction, tested against mean square error, was not supported for any of the three traits. Mean differences of the two genotypes, averaged across data files, were, for first, second, and third parities, respectively, 360, 568, and 299 kg for milk; 6, 9, and 8 kg for fat; and 22, 9, and 12 d for calving interval. Main effect of genotype indicated a 417-kg advantage for heterozygotes but 17-d longer calving interval. The main effect of genotype on milk production adjusted for calving interval was 343 kg but was nonsignificant.

Animals↗
PubMed1995

Object-oriented approach to fast display of electrophysiological data under MS-windows.

Microcomputers provide neuroscientists an alternative to a host of laboratory equipment to record and analyze electrophysiological data. Object-oriented programming tools bring an essential link between custom needs for data acquisition and analysis with general software packages. In this paper, we outline the layout of basic objects that display and manipulate electrophysiological data files. Visual inspection of the recordings is a basic requirement of any data analysis software. We present an approach that allows flexible and fast display of large data sets. This approach involves constructing an intermediate representation of the data in order to lower the number of actual points displayed while preserving the aspect of the data. The second group of objects is related to the management of lists of data files. Typical experiments designed to test the biological activity of pharmacological products include scores of files. Data manipulation and analysis are facilitated by creating multi-document objects that include the names of all experiment files. Implementation steps of both objects are described for an MS-Windows hosted application.

Animals↗