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Search Results: 1 - 10 of 41642 matches for " Analysis "
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Correlation between urine analysis and urine culture in the diagnosis of urinary tract infection in Yazd central laboratory
Khalili M B,Sharifi Yazdi M K,Ebadi M,Sadeh M
Tehran University Medical Journal , 2007,
Abstract: Background: The misdiagnosis of urinary tract infection (UTI) may lead to kidney deficiency and even pyelonephritis. Since different species may cause this disease, urine culture (UC) and antibiogram of the isolated species should be performed and results compared to urine analysis (UA) parameters to obtain the best diagnosis."nMethods: The urine specimens from 1509 patients (1195 women and 314 men) were processed for UA, UC and antibiogram. First of all, the sterile urine samples were cultured using differential media, including EMB and blood agar. After 24 hr incubation, the colonies were identified and differentiated by biochemical tests. Antibiograms for all isolated species were determined using Muller Hinton agar. All results obtained from this survey were analyzed using SPSS software."nResults: Of the 1509 samples, 986 (65.3%) were positive for pathogenic bacteria, 170 (17.2%) of which were from men and 816 (82.8%) from women. E. coli was the most prevalent with 591 cases (58.7%), followed by Enterobacter 115 (11.4%) and Klebsiella 88 (8.8%). Data analysis revealed that the correlations between the WBC, RBC, nitrite, crystal, and protein were significantly higher in culture-positive samples. Of the antibiotics tested, isolated species were most sensitive to amikacin and most resistant to ampicillin."nConclusion: The present study revealed a correlation between pyuria and bacteruria; however, it should be noted that the clinical signs and the presence of WBC in urine could not be used to confirm the UTI. In addition, since different bacterial species are able to cause UTI, in order to administer proper treatment while controlling improper use of antibiotics, thorough testing, including UA and UC together with antibiogram, is strongly recommended.
A Novel Method of Network Text Analysis  [PDF]
Starling Hunter
Open Journal of Modern Linguistics (OJML) , 2014, DOI: 10.4236/ojml.2014.42028
Abstract:

This paper describes a novel method of network text analysis, one that involves a new approach to 1) the selection of words from a text, 2) the aggregation of those words into higher-order concepts, 3) the kind of the relationship that establishes statements from pairs of concepts and 4) the extraction of meaning from the text network formed by these statements. After describing the method, I apply it to a sample of the seven most recent winners of the Academy Award for Best Original Screenplay―Little Miss Sunshine, Juno, Milk, The Hurt Locker, The King’s Speech, Midnight in Paris, and Django Unchained. Consistent with prior research, I demonstrate that structure encodes meaning. Specifically, it is shown that statements associated with a text network’s least constrained nodes are consistent with themes in the films’ synopses found on Wikipedia, the International Movie Database, and Rotten Tomatoes.

Thermal Decomposition and a Kinetic Study of Poly(Para-Substituted Styrene)s  [PDF]
Ay?egül ?enocak, Cemil Alkan, Ahmet Karada?
American Journal of Analytical Chemistry (AJAC) , 2016, DOI: 10.4236/ajac.2016.73021
Abstract: The thermal decompositions of polystyrene (PS), poly(p-methyl styrene) (PMS), poly(p-bromo styrene) (PBrS), and poly(p-chloro styrene) (PClS) were investigated through thermogravimetric analysis (TGA). For this aim, Flynn-Wall-Ozawa method was applied to derivative thermogravimetric (DTG) curves. Continuous distribution kinetics was employed with a stoichiometric kernel to determine the rate coefficients for decomposition reactions. TGA data for the polymers were investigated by nonlinear fitting procedures that yielded activation energies and frequency factors for the combined chemical reactions. The reaction order values of PS derivatives are just about 1 in the nonisothermal decomposition process. Ea values for PS, PMS, and PClS increase with % conversion individually as they decrease in the order of PS/PMS/PClS which is consistent with the molecular weight increase. On the other hand, PBrS has the highest activation energy. Also its activation energy decreases with the % conversion. Thus it is suggested that PBrS degrades with somehow different mechanism.
Prioritization of Sub-Watersheds in a Large Semi-Arid Drainage Basin (Southern Jordan) Using Morphometric Analysis, GIS, and Multivariate Statistics  [PDF]
Yahya Farhan, Ali Anbar, Nisreen Al-Shaikh, Haifa Almohammad, Sireen Alshawamreh, Manal Barghouthi
Agricultural Sciences (AS) , 2018, DOI: 10.4236/as.2018.94031
Abstract: GIS-based morphometric analysis was employed to prioritize the W. Mujib-Wala watershed southern Jordan. Seventy six fourth-order sub-watersheds were prioritized using morphometric analysis of ten linear and shape parameters. Each sub-watershed is prioritized by designated ranks based on the calculated compound parameter (Cp). The total score for each sub-basin is assigned as per erosion threat. The 76 sub-basins were grouped into four categories of priority: very high (12 sub-basins, 15.8% of the total), high (32 sub-watersheds, 42.1% of the total), moderate (25 sub-watersheds, 32.9% of the total), and low (7 sub-watersheds, 9.2% of the total). Sub-watersheds categorized as very high and high are subjected to high erosion risk, thus creating an urgent need for applying soil and water conservation measures. The relative diversity in land use practices and land cover, including variation in slope and soil types, are considered in proposing suitable conservation structures for sub-watersheds connected to each priority class. The adaptation of soil conservation measures priority-wise will reduce the erosivity effect on soil loss; while increasing infiltration rates; and water availability in soil profile. Principal component analysis (PCA) reduces the basic parameters and erosion risk parameters to three components, explaining 88% of the variance. The relationships of these components to the basic and erosion risk parameters were evaluated, and then the degree of inter-correlation among the morphometric parameters was explored. The verification of priority classes obtained through morphometric analysis was tested using Discriminant Analysis (DA). The results show a complete separation existing between the identified priority classes. Thus, soil erosion risk and geomorphic conditions are found entirely different from one class to another. The present results are intended to help decision makers to plan for efficient soil and water conservation measures to achieve future agricultural sustainability in the rainfed highlands of Jordan.
The Research on the Appraisal of Market Opportunity Based on AHP  [PDF]
Donghong YANG, Yujie TAN, Yanbin SUN
Journal of Service Science and Management (JSSM) , 2009, DOI: 10.4236/jssm.2009.24033
Abstract: In this article, through analyzing the inner and external environments of the manufacture enterprise, the hierarchy model of the market opportunity has been constructed. Based on the AHP, the mathematics evaluation model of the market opportunity has been established. Take a simulative enterprise as example, according to the hierarchy model and the mathematics evaluation model of the market opportunity, the judgment matrixes of every hierarchy have been established and the weight of each market opportunity opposite to the target hierarchy is obtained. The reasonable decision-making method has been provided to choose the market opportunity for the manufacture enterprise.
A Hierarchical Methodology for Performance Evaluation Based on Data Envelopment Analysis: The Case of Companies’ Competitiveness in an Economy  [PDF]
Mohamed Dia, Fouad Ben Abdelaziz
American Journal of Operations Research (AJOR) , 2011, DOI: 10.4236/ajor.2011.13015
Abstract: In this research, we present a hierarchical Data Envelopment Analysis (DEA) methodology for competitiveness analysis. This methodology takes into account the heterogeneity of the decision making units (DMUs) as well as the diversity of the comparison criteria. We propose to homogenize the DMUs by grouping them hierarchically, which permits a better identification and definition of the criteria in each specific grouping. The methodology proceeds first by the determination of the performances or relative efficiencies, which are in turn aggregated into competitiveness indices in each grouping by the superiority index of [1]; then, the overall competitiveness indices are determined additively along the hierarchical levels. We illustrate the methodology by a competitiveness analysis of several companies belonging to different sectors of activity in an economy, where are suggested ways of improvement for the non-competitive companies within their sectors and within the economy.
Coding Issues in Cognitive Mapping of Games  [PDF]
Roel Popping
Open Journal of Political Science (OJPS) , 2013, DOI: 10.4236/ojps.2013.31003
Abstract:

In text analysis studies coders have to make qualitative decisions. These decisions are based on interpretations of the texts under study. In such situations it is very helpful to have coding rules. These do not only help as an aid to the coder, but are also useful for readers of the research report that will follow. The rules make visible in considerable extent how the coding task has been performed, they take care of transparency. This contribution focuses on motions that have been treated in the Dutch House of Representatives. Motions usually contain information on why they are needed, the proposing member usually also tells about it. There is a discussion with the secretary, who is supposed to put the motion into effect if it is accepted. The secretary even has to give an advice. It is assumed that under these discussion(s) a cognitive map containing some game theoretic representation can be found. Rules are discussed that are used to code the types of maps that might be found.

Schedule Control of Coal Mine Construction Projects Based on Factor Analysis  [PDF]
Lingling Fan, Hui Zhang, Xiao Li
Geomaterials (GM) , 2013, DOI: 10.4236/gm.2013.33009
Abstract: Schedule management is the crucial capability for large-scale coal mining investors to successful finish the construction project, which could get by the accumulation of the long-time institutional executive force and ability training. By using factor analysis and validation analysis, extracted control factors of schedule management from data have been made in large coal mine construction companies. Some control factors have a greater influence on the schedule management which are the system factor, measures factor, economic controlling factor, behavioral factor, process factor, organization factor, thus the enterprise schedule management system should include the terms of the above factors.

On Cost Based Algorithm Selection for Problem Solving  [PDF]
Edilson F. Arruda, Fabrício Ourique, Anthony Almudevar, Ricardo C. Silva
American Journal of Operations Research (AJOR) , 2013, DOI: 10.4236/ajor.2013.35041
Abstract: This work proposes a novel framework that enables one to compare distinct iterative procedures with known rates of convergence, in terms of the computational effort to be employed to reach some prescribed vicinity of the optimal solution to a given problem of interest. An algorithm is introduced that decides between two competing algorithms, which algorithm makes the best use of the computational resources for some prescribed error. Several examples are presented that illustrate the trade-offs involved in such a choice and demonstrate that choosing an algorithm over another with a higher rate of convergence can be perfectly justifiable in terms of the overall computational effort.
Mixed Music Analysis with Extended Specmurt  [PDF]
Daiki Nishimura, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki
Journal of Software Engineering and Applications (JSEA) , 2013, DOI: 10.4236/jsea.2013.65034
Abstract:

This paper introduces a mixed music analysis method using extended specmurt analysis. Conventional specmurt can only analyze a multi-pitch music signal from a single instrument and cannot analyze a mixed music signal that has several different types of instruments being played at the same time. To analyze a mixed music signal, extended specmurt is proposed. We regard the observed spectrum extracted from the mixed music as the summation of the observed spectra corresponding to each instrument. The mixed music has as many unknown fundamental frequency distributions as the number of instruments since the observed spectrum of a single instrument can be expressed as a convolution of the common harmonic structure and the fundamental frequency distribution. The relation among the observed spectrum, the common harmonic structure and the fundamental frequency distribution is transformed into a matrix representation in order to obtain the unknown fundamental frequency distributions. The equation is called extended specmurt, and the matrix of unknown components can be obtained by using a pseudo inverse matrix. The experimental result shows the effectiveness of the proposed method.

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