The way of counting average number and standard error or standard deviation by normal count method on all three lots showed the same results like as Microsoft - Excel. Application of Summary Statistics in Descriptive Statistics showed average value, standard error, standard deviation and many other results in which there are sample variance. If two variances of two samples are the same, T proof method is used. Like this, use of Microsoft Excel showed concrete numeric value of p
Mathematical Computing ; Computer

BACKGROUND: In Korea, the Korean Laboratory Accreditation Program (KLAP) has set minimum standards for verification of clinical test performance. This verification process is time-consuming and labor-intensive when performed manually. We developed a free, statistical software program for KLAP, using the R language (R Foundation for Statistical Computing, Vienna, Austria). METHODS: We used CLSI guidelines for the algorithm. We built graphic user interfaces, including data input, with Embarcadero Delphi EX4 (Embarcadero Technologies, Inc., Texas, USA). The R Base Package and MCR Package for Method Comparison Regression were used to implement statistical and graphical procedures. RESULTS: Our program LaboStats has six modules: parallel test, linearity, method comparison, precision, reference interval, and cutoff. Data can be entered into the field either manually or by copying and pasting from an MS Excel worksheet. Users can print out precise reports. CONCLUSIONS: LaboStats can be useful for evaluating clinical test performance characteristics and preparing documents requested by KLAP.
Accreditation ; Korea ; Mathematical Computing ; Methods ; Texas

The coordinate parallel method was adopted in this study on the double pole lead vector by inference. The standard lead was used as an example, and the theoretical adjustment lead axis was compared with the Burger experiment adjustment lead axis, and with the Einthoven ideal symmetrical lead axis, too. The theoretical adjustment lead axis was noted to be very close to the Burger experiment adjustment lead axis.
Electrocardiography ; methods ; Humans ; Mathematical Computing ; Vectorcardiography ; instrumentation ; methods

Biological effects of millimeter waves (MMWs) at the cellular level are explored in experiments using culture dishes containing cell monolayers with MMW irradiated from the underneath. Analysis is carried out for culture dishes with diameters much larger than the MMW wavelength to discover the relation between the portion of the incident MMW power density (PD) irradiated into the cell monolayer and the interfering factors such as the bottom thickness of the culture dish, the MMW wavelength, and the electromagnetic parameters of the dish and culture solution. With the help of the finite-difference time-domain (FDTD) technique, another analysis is performed to display the effect of the dish geometries upon the MMW PD irradiated into the cell monolayer in a specific culture dish with a diameter similar to the MMW wavelength. The results indicate that rigorous analysis, precise measurement and accurate calculation of MMW PD are essential accompaniments for these experiments, and large-diameter culture dishes are more preferred in experiments to small-caliber ones.
Cell Culture Techniques ; methods ; Cells, Cultured ; radiation effects ; Mathematical Computing ; Microwaves ; Physics

Alginate-(Poly-L-Lysine)-Alginate(APA) microcapsules were prepared by Electrostatic Droplet Generator(EDG) technique and the thickness of microcapsule membrane, which was composed by polyelectrolyte complex, were studied in this paper. The theoretical formula was given for the measurement of membrane thickness of APA microcapsules by element analysis of membrane and calculation. The membrane thickness was 7-10 microns by theoretical calculation. On the other hand, the thickness of membrane was measured by SEM and optical microscopy and the results were 7 microns and 12 microns, respectively. The results showed that theoretical calculation is in good accordance with experimental determoination of mermbrane thickness and the membrane thickness of APA microcapsule is about 7-10 microns. The optical microscopy is an easy way to measure membrane thickness.
Alginates ; Capsules ; Mathematical Computing ; Membranes, Artificial ; Polylysine ; analogs & derivatives ; Spectrum Analysis

The quantitative theory of optimal doping content of transparent conductive films is introduced in this paper. In this theory, the relationship among the physical properties and crystal structure, preparation method and doping content is set up. The parabola equation that can be fixed to test curve and that has the reliable physical meaning is given. The extreme value of this equation confirms the quantitative relationship between the optimal doping content, the crystal structure and the preparation method. This an expression of the optimal doping content is obtained. The experimental results of doping modified for blood compatibility of titanium oxide films are analyzed. Using this expression to calculate the Ta5+ optimal doping content in blood compatibility of titanium oxide films.
Biocompatible Materials ; chemistry ; Materials Testing ; Mathematical Computing ; Membranes, Artificial ; Titanium ; chemistry

The application of mathematical morphology to ECG signal processing is described in this paper and the prospects for the application of mathematical morphology are given too.
Algorithms ; Electrocardiography ; methods ; Humans ; Mathematical Computing ; Models, Theoretical ; Signal Processing, Computer-Assisted ; Software

This paper is devoted to predicting the transmembrane helices in proteins by statistical modeling. A novel segment-training algorithm for Hidden Markov modeling based on the biological characters of transmembrane proteins has been introduced into training and predicting the topological characters of transmembrane helices such as location and orientation. Compared to the standard Balm-Welch training algorithm, this algorithm has lower complexity while prediction performance is better than or at least comparable to other existing methods. With a 10-fold cross-validation test on a database containing 160 transmembrane proteins, an HMM model trained with this algorithm outperformed two other prediction methods: TMHMM and MEMSTAT; the novel method was validated by its prediction sensitivity (97.0%) and correct location (91.3%). The results showed that this algorithm is an efficient and a reasonable supplement to modeling and prediction of transmembrane helices.
Algorithms ; Data Interpretation, Statistical ; Mathematical Computing ; Membrane Proteins ; chemistry ; Models, Statistical ; Protein Conformation

OBJECTIVES: In this paper, we present an efficient method to visualize computed tomography (CT) datasets using ambient occlusion, which is a global illumination technique that adds depth cues to the output image. We can change the transfer function (TF) for volume rendering and generate output images in real time. METHODS: In preprocessing, the mean and standard deviation of each local vicinity are calculated. During rendering, the ambient light intensity is calculated. The calculation is accelerated on the assumption that the CT value of the local vicinity of each point follows the normal distribution. We approximate complex TF forms with a smaller number of connected line segments to achieve additional acceleration. Ambient occlusion is combined with the existing local illumination technique to produce images with depth in real time. RESULTS: We tested the proposed method on various CT datasets using hand-drawn TFs. The proposed method enabled real-time rendering that was approximately 40 times faster than the previous method. As a result of comparing the output image quality with that of the conventional method, the average signal-to-noise ratio was approximately 40 dB, and the image quality did not significantly deteriorate. CONCLUSIONS: When rendering CT images with various TFs, the proposed method generated depth-sensing images in real time.
Acceleration ; Computer Systems ; Cues ; Dataset ; Lighting ; Mathematical Computing ; Methods ; Signal-To-Noise Ratio

Respiratory infections are one of the main health problems worldwide. They are a challenging field of study due to an intricate relationship between the pathogenicity of microbes and the host's defenses. To better understand mechanisms of respiratory infections, different models have been developed. A model is the reproduction of a disease in a system that mimics human pathophysiology. For this reason, the best models should closely resemble real-life conditions. Thus, the human model is the best. However, human models of respiratory infections have some disadvantages that limit their role. Therefore, other models, including animal, in vitro, and mathematical ones, have been developed. We will discuss advantages and limitations of available models and focus on models of viral infections as triggers of asthma exacerbations, viral infections being one of the most frequent causes of exacerbating disease. Future studies should focus on the interrelation of various models.
Animals ; Asthma* ; Humans ; Mathematical Computing ; Models, Animal ; Models, Theoretical ; Reagent Kits, Diagnostic ; Reproduction ; Respiratory Tract Infections* ; Virulence