Prolonged exposure to gases in enclosed spaces, can cause health problems that may not be easily eliminated, Several methods have been developed to determine the concentration of aromatic hydrocarbons. But these methods have certain limitations, which complicate the titration. Regression-based methods can be used using the software and applying numerical methods to the data obtained to determine the concentration of gases. The main idea of this paper: is to keep up with the ideal balance, and limit the deficiency of necessary to obtained from spectroscopic data, and the effect of mutilations presented by different noise decreases and autofluorescence background elimination algorithms was determined from the comparison data. And these changes ratios were in remove background fluorescence(benzene, toluene, xylene), for the (PolyFIT) method they were 3% and 5% and 2%, and for the (ModPoly) method they were 1% and 2% and 2%, and for the gas processor method, they were 2% and 5% and 2 %, respectively. So it was noticed it has been noticed here that the proposed method (GasesProcessors) is better in terms of filter performance and autofluorescence background removal compared to other methods.

Background & Objectives: In case of inappropriateness of the dimensions of chairs or when users feel pain and pressure in their lumbar region due to poor posture, damage to the spine can be prevented using some additional supports. The aim of this study was ergonomic evaluation of one of these supportive products named “Spine FIT”.Methods: In this descriptive and cross-sectional study, in the first stage, five ergonomists evaluated the product regarding its dimension, adjustability, material, conformity, and manufacturer claims. Then, three groups of workers including office workers, office workers with low back pain, and bus drivers filled out a self-administered questionnaire after using Spine FIT.Results: For the first stage, an acceptable adjustability and dimension was found. Conformity for different kinds of office and bus seats was mostly fair. Findings from the second stage revealed that the subjects in three groups were satisfied regarding seats comfort and ease of use. Concerning the conformity of Spine FIT, it was in good level among office workers, while different levels of conformity were observed by drivers of different models of bus.Conclusion: Spine FIT supports back region based on its supportive role in pelvis, lumbar vertebrae column and thoracic spine. Moreover, Spine FIT features that reduce sweating can improve individuals’ convenience.

Introduction: The pharmacy information system plays an effective role in managing patients' medication information through informing physicians about unsafe medication prescriptions, prescribed overdoses, and possible drug interactions. The present study was conducted with the aim of evaluating the pharmacy information system using the HOT-FIT (Human, Organization And Technology-FIT) model in selected teaching hospitals at Mashhad University of Medical Sciences. Methods: We conducted this cross-sectional study in 2019 in two stages. First, we presented the extracted criteria and confirmed them in the panel of experts. In the second stage, the pharmacy information system was evaluated from the point of view of 118 users of the system, namely the secretary or nurse who register medication requests in the clinical and specialist departments of HIS. The evaluation results were analyzed using linear regression test via SPSS, version 21. Results: In the specialized panel, 24 criteria were confirmed,then, we designed a questionnaire according to the HOT-FIT model which was provided to the users. According to the result, 55. 37% of the users rated the system's performance as favorable. Results showed that according to the analysis of 17 hypotheses of the HOT-FIT model, there is a significant relationship between aspects of technical, human, and organizational factors, as well as net beneFITs. Also, there was not a statistically significant relationship between the aspect of information quality in the technical factor and the aspect of the system use in the human factor. Conclusion: System use and information quality criteria increase the satisfaction of information system users. In this regard, in the design of the hospital information system, attention should be paid to the compatibility of the system with the tasks of the user and the usefulness of the expected output. Also, we believe that more studies should be conducted on the information quality and system use criteria that lead to user satisfaction.

Suppose G is an n-vertex and m-edge simple graph with edge set E(G). An integer-valued function f: E(G)→Z is called a flow. Tutte was introduced the flow Polynomial F(G, l) as a Polynomial in an indeterminate l with integer coefficients by F(G, l) = (−1)|E(G)| S SÌE(G)(-1)|S|ln-m+c(G:S), where c(G:S) is the number of connected components of G and (G:S) denotes the spanning subgraph of G with edge set S. In this paper the Flow Polynomial of some dendrimers are computed.

Suppose G is a graph, A(G) its adjacency matrix and Ψ (G, λ ) = λ n + a1λ n− 1 + … +an is the characteristic Polynomial of G. The matching Polynomial of G is defined as M(G, x) = m(G, 0)xn – m(G, 1)xn− 2 – m(G, 2)xn− 4 + … , where m(G, k) is the number of k− matchings in G. In this paper, the relationship between 2k-th coefficient of the characteristic Polynomial, a2k, and k-th coefficient of the matching Polynomial, (− 1)km(G, k), k=0, 1, 2, … , in a regular graph is determined. In addition, these relations for finding 5, 6-matchings of fullerene graphs are applied.

This work studies the effect of different methods of spectra processing on the aromatic compounds (benzene, toluene and xylene). keeping up high-spatial objectives is progressively basic and various methodologies are utilized to check fragrant compounds that anticipate choosing a specific technique from research centre determinations. One notable part of all types of signal systems is the flexibility of adaptation. In addition, a spatial exactness is not fundamental to get a range of an expansive number of fragrant compounds where more prominent characterization and statistical mean are critical. Moreover, sufficiently low deviations of the expected values are achieved from the true values and the standard deviation to determine the properties of fragrant compounds compared with those of the aromatic compounds. A persistent baseline rectification is smoothed and performed followed by normalizing the rectified spectrum to their area. The auto fluorescence foundation is subtracted, for the pure range analysis, by utilizing scientific approaches: Polynomial estimation (Poly FIT) and method Processors Gases Improved. The accuracy and reliability obtained are not complete and can be increased by developing algorithms, selecting other parameters and improving the quality of the training sample by eliminating the unwanted data. This could be done by increasing the sample size and studying it in more detail to avoid inaccuracies during the transition between concentrations Gas.

Uncertainty evaluation is an important task in almost all activities in the field of calibration and standard conformity assessment. Evaluation of uncertainty is a process in which the statistical characteristics (mainly the first and second moments,i. e. the average and the standard deviation) of the result of a measurement are estimated based on those of contributing factors. The result of this process is used to determine how appropriate a measurement is for a specific application. The measurement uncertainty influences the result of binary decisions made on conformity assessment, calibration and many other applications in the fields of jurisdiction, commerce, law enforcement or healthcare. Another important application of uncertainty evaluation, is to evaluate and validate mathematical or computer models simulating real world phenomena. For example, an uncertainty evaluation process can be utilized to quantify the error characteristics of a simulation software. Many techniques have been introduced and practiced for uncertainty evaluation. The applicability of each method relies upon the measurement model, possibility of performing repeated simulations and availability of statistical data. In this paper, we examine a celebrated uncertainty propagation method, namely,the Polynomial Chaos Expansion in the uncertainty evaluation of measurements described by a rigorous mathematical model. These measurement processes have been conventionally studied using sensitivity coefficients which can be calculated via partial derivatives. The two approaches are compared in an illustrative example.