Large Proportion Of Errors Research Articles

An Efficient Self-Healing Architecture for Improving the RAS Characteristics of RISC-V Server and Its Quantitative Evaluation Method

This letter proposes a self-healing called automatic monitoring architecture (AMA), which can help RISC-V server self-heal from hardware errors. AMA reduces redundant error classification, and only monitors hardware devices that have a relatively large proportion of errors in RISC-V server, thereby reducing the resource consumption of AMA on the basis of ensuring performance. In addition, AMA uses the Correctable-error Dynamic Threshold technology to further reduce the probability of serious uncorrectable hardware errors. Compared with an RISC-V server without a self-healing system, this architecture consumes very few hardware resources, reducing server downtime by about 80% each year. Compared with other self-healing architectures, such as Intel’s machine check architecture, AMA can reduce server downtime by an additional 5% per year. Therefore, AMA is highly efficient with little resource consumption.

PCR-based specific techniques used for detecting the most important pathogens on strawberry: a systematic review.

BackgroundStrawberry diseases are a major limiting factor that severely impact plant agronomic performance. Regarding limitations of traditional techniques for detection of pathogens, researchers have developed specific DNA-based tests as sensitive and specific techniques. The aim of this review is to provide an overview of polymerase chain reaction (PCR)-based methods used for detection or quantification of the most widespread strawberry pathogens, such as Fusarium oxysporum f.sp. fragariae, Phytophthora fragariae, Colletotrichum acutatum, Verticillium dahliae, Botrytis cinerea, Macrophomina phaseolina, and Xanthomonas fragariae. An updated and detailed list of published PCR protocols is presented and discussed, aimed at facilitating access to information that could be particularly useful for diagnostic laboratories in order to develop a rapid, cost-effective, and reliable monitoring technique.MethodsThe study design was a systematic review of PCR-based techniques used for detection and quantification of strawberry pathogens. Using appropriate subject headings, AGRICOLA, AGRIS, BASE, Biological s, CAB s, Google Scholar, Scopus, Web of Knowledge, and SpringerLink databases were searched from their inception up to April 2014. Two assessors independently reviewed the titles, abstracts, and full articles of all identified citations. Selected articles were included if one of the mentioned strawberry pathogens was investigated based on PCR methods, and a summary of pre-analytical requirements for PCR was provided.ResultsA total of 259 titles and abstracts were reviewed, of which 22 full texts met all the inclusion criteria. Our systematic review identified ten different protocols for X. fragariae, eight for P. fragariae, four for B. cinerea, six for C. acutatum, three for V. dahlia, and only one for F. oxysporum. The accuracy and sensitivity of PCR diagnostic methods is the focus of most studies included in this review. However, a large proportion of errors in laboratories occur in the pre-analytical phase of the testing process. Due to heterogeneity, results could not be meta-analyzed.ConclusionsFrom a systematic review of the currently available published literature, effective detection assays to detect the major strawberry pathogens have been developed. These assays can function as a basis for clinical labs, regulatory personnel, and other diagnosticians to adapt or implement for detection of these six important strawberry pathogens.Electronic supplementary materialThe online version of this article (doi:10.1186/2046-4053-4-9) contains supplementary material, which is available to authorized users.

Real-world medical diagnosis: Intuitive process revisited (review)

One cannot overlook the fact that diagnostic errors which constitute the largest proportion of errors in medical care have a direct bearing on patient’s outcomes. Clinical reasoning ability is closely related to the avoidance of diagnostic errors and clinical reasoning during diagnosis has been explained by a “dual processes model” comprising two elements. The first is the intuitive process (System 1), which emphasizes intuition-based rapidity and the other is the analytical process (System 2), which is an analytical and a scientific process. In this review, the underemphasized intuition-based approach of the first system is highlighted and examined from a clinical and practical perspective. Key words: Diagnosis, analytical, clinical, system 1, system 2

Evaluación de la calidad en el laboratorio en la fase preanalítica: un estudio multicéntrico

Purpose To show the number of preanalytical sample errors in seven laboratories attending seven health departments of Valencian Community (Spain). Methods Cross-sectional study of the number of preanlytical errors in samples obtained in primary care centers. An error is defined as a rejected specimen: any blood or urine sample, which cannot be successfully tested as it does not meet the acceptability criteria of the laboratory or if the sample is not received. We collected preanalytical errors from the tests requested for hematology, coagulation, chemistry, and urine samples. Registers were collected and indicators calculated automatically through a data warehouse and OLAP cubes software. Results Larges differences in the results of preanalytical errors were observed between health departments. The highest percentage of errors occurred in coagulation samples, followed by urine, hematology and biochemistry. With regard to the type of error, the largest proportion of errors was due to failures of process. Conclusions The high incidence of preanalytical errors and variability between health departments suggests that there is a need to standardize the drawing practice.

Variabilidad en los errores preanalíticos del laboratorio entre centros periféricos de extracción: un reto para la seguridad del paciente

Objective The aim of the study is to show the most frequent preanalytical sample errors from distinct decentralized phlebotomy centers. Method The study was conducted from May 2005 to March 2008. In this period 36,2054 requests and 2,880,742 tests were received from the 16 decentralized phlebotomy centers. When an unsuitable sample is received specific coded results are registered as test results to inform the physician that an error had occurred and a new specimen collection is recommended. We used the the request number, which is specific for each phlebotomy center to ascertain where the samples with errors had been drawn, The preanalytical errors were identified by looking for coded results and were collected automatically from the LIS using a software program based on OLAP's cube (Omnium ® Roche Diagnostic ®), obtaining number and type of preanalytical error for each sample. The errors are calculated as number per million samples requested. Analysis of data was carried out using Microsoft Excel 2003. Categorical variables were expressed as frequency and percentage. Results The highest number of incidences occurred in urine samples (52%), followed by coagulation (21%), haematology (17%) and biochemistry (10%). With regard to the type of error, the largest proportion of errors was due to failures of process (62%). Conclusions The high incidence of preanalytical errors and variability between centers suggests that there is a need to standardize the drawing practice.

Are young children’s drawings canonically biased?

In a between-subjects design, 4- to 6-year-olds were asked to draw from three-dimensional (3D) models, two-and-a-half-dimensional ( 2 1 2 D ) models with or without depth cues, or two-dimensional (2D) models of a familiar object (a saucepan) in noncanonical orientations (handle at the back or at the front). Results showed that canonical errors were produced mainly by the youngest children in the 3D models copying condition. A large proportion of errors did not, however, reflect biases toward the participants’ “own” view of the object; rather, these errors reflected biases toward their “best” view of the object. Drawing from models having fewer than three dimensions resulted in a significant increase in view-specific productions in all children for the back orientation. When a more complex front orientation of the object was proposed, sensitivity to model type developed gradually with age. Results are discussed in terms of the flexibility of the mental model that mediates between children’s perception of a model object and the depiction decisions.

ACCURACY OF AN AUTOMATED BLOOD-GAS ANALYSER OPERATED BY UNTRAINED STAFF

Performance of the IL 613 automatic blood-gas analyser has been assessed using a group of 100 "analysts" with no previous training or experience in the use of the instrument. Test material consisted of blood equilibrated to a known PO2 and PCO2 in a tonometer: pH estimations were carried out on thawed aliquots of a large batch of frozen serum which were then equilibrated to a known PCO2. Eighty-six per cent of analyses were within acceptable limits of error. The largest proportion of errors was in the measurement of pH. Satisfactory results were obtained in 98% of the analyses of PO2 and PCO2. Eighty-eight per cent of operators were able to use the analyser after instruction lasting less than 1 min. These results were significantly better than those obtained in a regional survey of 16 blood-gas laboratories, staffed by trained technicians.