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the top 1% and lower than the bottom 1% (except 0) are substituted with cut-off values in the application. Total publications: Although productivity is one of the evaluation factors, it is not intended to have an excessive effect on the index value

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Journal of Radioanalytical and Nuclear Chemistry
Authors: Huang Donghui, Wang Pingsheng, Chen Xilin, Tian Weizhi, Ni Bangfa, Zhang Lanzhi, Zhang Guiying, Liu Cunxiong, and Liu Likun

Summary  

The half-life of 97Zr, used for the calculation of thermal/epithermal neutron flux ratio in k 0-NAA, is re-determined using three measurement systems with different pulse processing principles. The result of 16.755±0.013 hours clarifies the discrepancy between two widely used literature values, 16.744±0.011 and 16.90±0.05 hours. Different dead-time correction methods used on various measurement systems are evaluated. Factors influencing precise measurement of relative peak counting rates are discussed in time-series measurements over a dynamic range of 1000-fold radioactive intensities (10 half-lives).

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Abstract  

In Open Access (OA) environment where article-based or author-based evaluation is important, a new evaluation system is needed to accommodate characteristics of Open Access Resources (OAR) and to overcome limitations of pre-existing evaluation systems such as journal-based evaluation. Primary and secondary evaluation factors were selected. Primary factors include hits and citations that constitutes composite index. Several secondary factors each for article and author evaluation were selected for normalization of the indexes. To validate superiority of newly developed normalized composite index systems compared to the monovariable index system, time-driven bias and power of discrimination were adopted. The results led to the conclusion that composite index proved to be a more stable index offsetting the negative effects from one element to another and normalization makes the composite index even more stable by controlling the bias from external elements.

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This study profiled soils over a land degradation gradient to obtain formulae as integrative measures for describing the gradient as a result of deforestation in Thailand. We applied antibiotic resistance most-probable-number profiling to the soil bacterial communities, and then described the gradient. Soil samples were collected on the gradient represented by dry evergreen forest (the original vegetation), dry deciduous forest (moderately disturbed) and bare ground (the most degraded) in February (dry season), March (shortly after temporal precipitation) and June (rainy season) 2001. In the period of this study, the degradation was consistently shown as soil conditions like sandy texture, high bulk density, lower pH, high exchangeable acidity, poor mineral and organic nutrients and dryness. Soil fertility index and soil evaluation factor, as the integrative measures of the intensity of land degradation, were described by scores on the first or the second principal component derived from the soil bacterial community profiles for each sampling time (R>0.457, p<0.043) and by scores on the third and fourth principal components for the overall data set (R>0.501, p<0.001), suggesting great dry to moist seasonal effects. Further, the changes had significant relationships with gradients of soil moisture content, acidity and/or soil nitrogen content. The data sets on the soil bacterial community profiles had more complicated data structures than the physicochemical data sets, suggesting effects of the physicochemical changes on the soil bacterial community. The differences between the bacterial and the physicochemical aspects suggest that it is advantageous to observe multiple aspects of soil quality when describing a soil-related gradient of interest.

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Campo, R., Molinas, C. R., Rombauts, L. és mtsai: Prospective multicentre randomized controlled trial to evaluate factors influencing the success rate of office diagnostic hysteroscopy. Hum. Reprod., 2005, 20 , 258

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and Evaluating Factor Scores. Psychological Methods , 6: 430–450. Grice J.W. Computing and Evaluating Factor Scores Psychological Methods

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: BME . Available at: http://tdk.bme.hu/EPK/DownloadPaper/Horizontalis-hezag-a-paneles-lakohazak [Accessed 21 March 2015]. Benkő , Melinda . 2014 . Evaluating Factors in

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. , Abou-Elela , G. M. : Antagonistic effect of marine Nocardia brasiliensis against the fish pathogen Vibrio damsela : Application of Plackett-Burman experimental design to evaluate factors affecting the production of the antibacterial agent . IJOO 1

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factors that can be measured on the scale of ratio and intervals. For the matching of procedures, the steps are as follows: 1. Choose an alternative; 2. Select evaluation factors; 3. Define the target function. (e.g. minimum for better smaller values

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a suitable method for the detection of the amorphous matter. In order to achieve sensitive and reliable quantitative results, it is very important to define and evaluate factors that influence IMC measurement, which was the subsequent aim of this

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