Semi-automatic method for biochemical spectrophotometric analysis data processing and printing.
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In flow cytometry at high particle rates, complete processing of data is limited by the capacity of the flow cytometer electronics which are constrained by the waiting or cycling time of the processor. Four models of impulse processors were analyzed to study the influence of the waiting time and reset mechanisms on the input-output properties of commonly used electronic devices. The models contain a feedback loop to represent a waiting time and describe reset mechanisms to filter trains of consecutive pulses such as clumps and doublets. Discrete systems analytical tools have been used to derive formulas for the yield of a simple waiting time device, a doublet filter, a clump filter and a clump and doublet filter. Also, the response to a sudden onset of an input signal has been analyzed and is described. The reset mechanism is an important determinant of the capacity of a waiting time device depending on the impulse rate of the input signal.
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The utility of mtDNA in forensic identifications is limited by its low power of discrimination and the absence of high quality mtDNA databases. Single nucleotide polymorphisms (SNPs) in the control region outside of hypervariable regions I and II (HVI/HVII), and in the coding region of the mtDNA genome, can provide additional discrimination in mtDNA testing. We have identified particularly useful SNP sites via high throughput sequencing of the entire mtDNA genome. We report here two cases in which an 11-plex SNP assay (panel "A") targeting the most common HVI/HVII type successfully resolved two cases in which identifications could not be made on the basis of HVI/HVII sequencing. Additionally, we established a database of 286 samples for SNP panel "A" generated with robotic protocols. We have addressed the need for high quality mtDNA control region (CR) databases by developing robotic protocols for lab processing, and a carefully devised electronic data review process. A large-scale databasing effort targeting several populations underrepresented in current mtDNA databases is underway.
Healthcare managers are seeking new ways to increase productivity in the workplace. New technologies, such as word processing, electronic mail, electronic conferencing, calendar management, data base management systems, artificial intelligence, decision support systems, and local area networks, are being developed to help the healthcare manager make the workplace more productive. The challenge therefore is to implement these systems smoothly and address the organizational issues associated with implementation.
APRV (Automatic Processing, Refinement and Visualization) is a new program that enables high-throughput batch processing of crystallographic data. The program combines processing of raw diffraction images, initial structure refinement and visual inspection of resulting electron density into a seamless one-step procedure, during which all relevant parameters are refined automatically. It is controlled by a user-friendly graphical interface, facilitating operation by non-experts.