scholarly journals Evaluation of automated hematology analyzer DYMIND DH76 compared to SYSMEX XN 1000 system

2021 ◽  
Vol 40 (4) ◽  
pp. 367-377
Author(s):  
Milena Velizarova ◽  
Teodora Yacheva ◽  
Mariana Genova ◽  
Dobrin Svinarov
Keyword(s):  
State Of The Art ◽  
Correlation Coefficients ◽  
International Standards ◽  
Analytical Performance ◽  
Regression Coefficients ◽  
Differential Count ◽  
Clinical Use ◽  
Coefficients Of Variation ◽  
Hematology Analyzer ◽  
Automated Hematology Analyzer

Background: DYMIND DH76 (DYMIND BIOTECH, China) is a new automated hematology system designed to provide CBC count, including a 5-part WBC differential count, and its analytical performance should be assessed before adoption for clinical use. Methods: The analyzer was evaluated according to the International Council for Standardization in Haematology guideline. The purposes of this study were to assess its analytical performance in comparison to SYSMEX XN 1000 hematology analyzer currently used in our laboratory, as well as to compare the automated and manual WBC differential. Results: Within-run precision in all concentration ranges was very good with coefficients of variation (CVs) between 0.02% and 2.5% except for platelets over 500×109/L (CV 9.5%). Within-batch imprecision showed CVs lower the declared deviation ranges. Accuracy (defined as trueness) was excellent for all CBC and white cell differential parameters, compared with the state of the art%. Linearity was confirmed with excellent regression coefficients (0.999-1.000), even in the lowest values, and carryover was ≤ 1%. Comparison between DYMIND DH76 and SYSMEX XN 1000 was also very good with correlation coefficients (R2) for WBC (1.000), RBC (0.999), hemoglobin (0.999) and PLT over 50×109/L (0.994) and R2 was lower but still acceptable (0.910) for PLT<50×109/L. R2 for neutrophils, lymphocytes, eosinophils, basophils, and monocytes were 0.974, 0.982, 0.957, 0.625, and 0.836, respectively, in the comparison between the manual and DYMIND DH76 automated differential WBC counts. Conclusions: With excellent analytical performance and acceptable comparative analysis, DYMIND DH76 hematology analyser covered the predefined international standards and requirements and is fully appropriate for clinical application.

scholarly journals Evaluation of the automated hematology analyzer Sysmex XT-2000iV™ compared to the ADVIA® 2120 for its use in dogs, cats, and horses. Part II

2012 ◽  
Vol 24 (1) ◽  
pp. 74-89 ◽  
Author(s):  
Natali Bauer ◽  
Julia Nakagawa ◽  
Cathrin Dunker ◽  
Klaus Failing ◽  
Andreas Moritz
Keyword(s):  
Rank Correlation ◽  
Correlation Coefficients ◽  
Differential Count ◽  
Mean Corpuscular Hemoglobin ◽  
Cell Counts ◽  
Hematology Analyzer ◽  
Automated Hematology Analyzer ◽  
The Impact ◽  
And Storage ◽  
Edta Blood

The automated laser-based hematology analyzer Sysmex XT-2000 iV™ provides a 5-part differential count and specific cytograms that are of great interest for large veterinary laboratories. The aim of the study was to validate the Sysmex XT-2000 iV compared to the laser-based hematology analyzer ADVIA® 2120 and manual differential in dogs, cats, and horses as well as the impact of anticoagulant (heparin, ethylenediamine tetra-acetic acid [EDTA], and citrate) and storage at 22°C and 4°C. Consecutive fresh K3–EDTA blood samples from 216 cats, 314 dogs, and 174 horses were included. The impact of anticoagulant and sample storage was assessed in specimens obtained from an additional 9 cats, 10 dogs, and 10 horses. Agreement between both analyzers was excellent to good except for monocytes and canine reticulocytes. Spearman rank correlation coefficients ( rs) between Sysmex XT-2000 iV and manual differential were good to fair and ranged from 0.91 (cat lymphocytes) to 0.44 (cat monocytes). Hematocrit value (Hct), mean corpuscular hemoglobin (MCH), MCH concentration (MCHC; all: P < 0.001), and mean corpuscular volume (MCV; P < 0.01) were higher in canine citrated blood compared to heparin and EDTA. In cats, lymphocytes and monocytes were lower in heparinized blood compared to EDTA ( P < 0.05), whereas in horses no significant effect was seen. Regarding storage time and temperature, white and red blood cell counts, hemoglobin, and MCH were stable. Hct, MCV, and MCHC were influenced by erythrocyte swelling. Differential count remained stable for 24 hr (22°C) and nearly 72 hr (4°C) except for monocytes. The overall performance of the Sysmex XT-2000 iV was excellent and compared favorably with that of the ADVIA 2120. A special strength was the excellent detection of feline eosinophils.

Properties of Wrought CoNiCrMo Alloy Protasul-10, a Highly Corrosion and Fatigue Resistant Implant Material for Joint Endoprostheses

1980 ◽  
Vol 9 (4) ◽  
pp. 201-207 ◽  
Author(s):  
M Semlitsch
Keyword(s):  
Corrosion Resistance ◽  
State Of The Art ◽  
High Strength ◽  
International Standards ◽  
Clinical Use ◽  
Metallic Material ◽  
Implant Material ◽  
Stem Fracture ◽  
Composition Structure ◽  
Fatigue Fractures

Loosening of prosthetic components in the bone is a problem that has not been fully explored as yet. When loosening has occurred, the metallic anchorage stem may become overloaded and in extreme cases it may ultimately lead to stem fracture if the fatigue limit of the metallic material is exceeded. In order to preclude the possibility of these undesirable fatigue fractures of loosened prosthesis stems requiring re-operations, the Sulzer research laboratories have developed wrought alloys of extremely high strength and corrosion resistance such as Protasul-10.† The chemical composition, structure, mechanical properties, corrosion resistance and present state of the art of this implant material, which has been in clinical use since 1971, are specified in national and international standards.

scholarly journals Evaluation of the automated hematology analyzer Sysmex XT-2000iV™ compared to the ADVIA® 2120 for its use in dogs, cats, and horses

2011 ◽  
Vol 23 (6) ◽  
pp. 1168-1180 ◽  
Author(s):  
Natali Bauer ◽  
Julia Nakagawa ◽  
Cathrin Dunker ◽  
Klaus Failing ◽  
Andreas Moritz
Keyword(s):  
Blood Cell ◽  
Cell Count ◽  
Rank Correlation ◽  
Correlation Coefficients ◽  
Reference Method ◽  
Hemoglobin Concentration ◽  
Differential Count ◽  
Mean Corpuscular Hemoglobin ◽  
Blood Cell Count ◽  
Hematology Analyzer

The automated laser-based hematology analyzer Sysmex XT-2000 iV™ providing a complete blood cell count (CBC) and 5-part differential has been introduced in large veterinary laboratories. The aim of the current study was to determine precision, linearity, and accuracy of the Sysmex analyzer. Reference method for the accuracy study was the laser-based hematology analyzer ADVIA® 2120. For evaluation of accuracy, consecutive fresh blood samples from healthy and diseased cats ( n = 216), dogs ( n = 314), and horses ( n = 174) were included. A low intra-assay coefficient of variation (CV) of approximately 1% was seen for the CBC except platelet count (PLT). An intra-assay CV ranging between 2% and 5.5% was evident for the differential count except for feline and equine monocytes (7.7%) and horse eosinophils (15.7%). Linearity was excellent for white blood cell count (WBC), hematocrit value, red blood cell count (RBC), and PLT. For all evaluated species, agreement was excellent for WBC and RBC, with Spearman rank correlation coefficients (rs) ranging from >0.99 to 0.98. Hematocrit value correlated excellently in cats and dogs, whereas for horses, a good correlation was evident. A good correlation between both analyzers was seen in feline and equine PLT (rs = 0.89 and 0.92, respectively), whereas correlation was excellent for dogs (rs = 0.93). Biases were close to 0 except for mean corpuscular hemoglobin concentration (4.11 to −7.25 mmol/l) and canine PLT (57 × 109/l). Overall, the performance of the Sysmex analyzer was excellent and compared favorably with the ADVIA analyzer.

Relationship between Coffee Prices in Spot and Futures Markets-An Empirical Analysis

2020 ◽  
pp. 180-188
Keyword(s):  
New York ◽  
Correlation Coefficients ◽  
Strong Relationship ◽  
Futures Market ◽  
Regression Coefficients ◽  
Futures Prices ◽  
Market Prices ◽  
Spot Prices ◽  
Correlation And Regression Analysis ◽  
Highly Correlated

The present study explored the relationship between spot and futures coffee prices. The Correlation and Regression analysis were carried out based on monthly observations of International Coffee Organization (ICO) indicator prices of the four groups (Colombian Milds, Other Milds, Brazilian Naturals, and Robustas) representing Spot markets and the averages of 2nd and 3rd positions of the Intercontinental Exchange (ICE) New York for Arabica and ICE Europe for Robusta representing the Futures market for the period 1990 to 2019. The study also used the monthly average prices paid to coffee growers in India from 1990 to 2019. The estimated correlation coefficients indicated both the Futures prices and Spot prices of coffee are highly correlated. Further, estimated regression coefficients revealed a very strong relationship between Futures prices and Spot prices for all four ICO group indicator prices. Hence, the ICE New York (Arabica) and ICE Europe (Robusta) coffee futures prices are very closely related to Spot prices. The estimated regression coefficients between Futures prices and the price paid to coffee growers in India confirmed the positive relationship, but the dispersion of more prices over the trend line indicates a lesser degree of correlation between the price paid to growers at India and Futures market prices during the study period.

scholarly journals COVID-19 infection map generation and detection from chest X-ray images

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Aysen Degerli ◽  
Mete Ahishali ◽  
Mehmet Yamac ◽  
Serkan Kiranyaz ◽  
Muhammad E. H. Chowdhury ◽  
...  
Keyword(s):  
State Of The Art ◽  
Ground Truth ◽  
Clinical Use ◽  
X Ray ◽  
Learning Techniques ◽  
Map Generation ◽  
Severity Grading ◽  
Chest X Ray ◽  
Novel Method ◽  
Aided Diagnosis

AbstractComputer-aided diagnosis has become a necessity for accurate and immediate coronavirus disease 2019 (COVID-19) detection to aid treatment and prevent the spread of the virus. Numerous studies have proposed to use Deep Learning techniques for COVID-19 diagnosis. However, they have used very limited chest X-ray (CXR) image repositories for evaluation with a small number, a few hundreds, of COVID-19 samples. Moreover, these methods can neither localize nor grade the severity of COVID-19 infection. For this purpose, recent studies proposed to explore the activation maps of deep networks. However, they remain inaccurate for localizing the actual infestation making them unreliable for clinical use. This study proposes a novel method for the joint localization, severity grading, and detection of COVID-19 from CXR images by generating the so-called infection maps. To accomplish this, we have compiled the largest dataset with 119,316 CXR images including 2951 COVID-19 samples, where the annotation of the ground-truth segmentation masks is performed on CXRs by a novel collaborative human–machine approach. Furthermore, we publicly release the first CXR dataset with the ground-truth segmentation masks of the COVID-19 infected regions. A detailed set of experiments show that state-of-the-art segmentation networks can learn to localize COVID-19 infection with an F1-score of 83.20%, which is significantly superior to the activation maps created by the previous methods. Finally, the proposed approach achieved a COVID-19 detection performance with 94.96% sensitivity and 99.88% specificity.

Enhanced context-aware recommendation using topic modeling and particle swarm optimization

2021 ◽  
pp. 1-16
Author(s):  
Ibtissem Gasmi ◽  
Mohamed Walid Azizi ◽  
Hassina Seridi-Bouchelaghem ◽  
Nabiha Azizi ◽  
Samir Brahim Belhaouari
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
State Of The Art ◽  
Weighting Function ◽  
Contextual Factors ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Pso Algorithm ◽  
Context Aware ◽  
Proposed Model

Context-Aware Recommender System (CARS) suggests more relevant services by adapting them to the user’s specific context situation. Nevertheless, the use of many contextual factors can increase data sparsity while few context parameters fail to introduce the contextual effects in recommendations. Moreover, several CARSs are based on similarity algorithms, such as cosine and Pearson correlation coefficients. These methods are not very effective in the sparse datasets. This paper presents a context-aware model to integrate contextual factors into prediction process when there are insufficient co-rated items. The proposed algorithm uses Latent Dirichlet Allocation (LDA) to learn the latent interests of users from the textual descriptions of items. Then, it integrates both the explicit contextual factors and their degree of importance in the prediction process by introducing a weighting function. Indeed, the PSO algorithm is employed to learn and optimize weights of these features. The results on the Movielens 1 M dataset show that the proposed model can achieve an F-measure of 45.51% with precision as 68.64%. Furthermore, the enhancement in MAE and RMSE can respectively reach 41.63% and 39.69% compared with the state-of-the-art techniques.

scholarly journals Spanish society of laboratory medicine external quality assurance programmes: evolution of the analytical performance of clinical laboratories over 30 years and comparison with other programmes

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Carmen Perich ◽  
Carmen Ricós ◽  
Fernando Marqués ◽  
Joana Minchinela ◽  
Angel Salas ◽  
...  
Keyword(s):  
Quality Assurance ◽  
State Of The Art ◽  
Laboratory Medicine ◽  
Analytical Performance ◽  
External Quality Assurance ◽  
Biological Variability ◽  
External Quality ◽  
Spanish Society ◽  
Clinical Laboratories ◽  
Quality Specifications

AbstractThe purpose of this study is to understand the evolution of the analytical performance of the laboratories participating in the Spanish society of laboratory medicine (SEQCML) external quality assurance (EQA) programmes during its 30 years of operation and to compare it with the performance of other EQA programmes to establish whether the results are similar. The results obtained during this period are evaluated by applying the biological variability (BV) and state of the art-derived quality specifications. In addition, the results are compared with those obtained by other EQA programme organisations. It is noted that the laboratories participating in the EQA–SEQCML programmes have improved their performance over 30 years of experience and that the specifications derived from biological variation are achievable. It is difficult to compare EQA programmes, due to lack of accessibility and the differences in the design of these programmes (control materials, calculations used and analytical specifications established). The data from this study show that for some biological magnitudes the results obtained by the programmes are not yet harmonised, although efforts are being made to achieve this. Organisers of EQA programmes should also join the harmonisation effort by providing information on their results to enable comparison.

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