2010
DOI: 10.1177/1757913910379198
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Cited by 32 publications
(12 citation statements)
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“…Serum samples were analyzed for determination of serum iron according to Wick et al (1996), and serum zinc concentrations were assessed by flame atomic absorption technique according to Wu (2006). Total protein was determined according to Sonnenwirth and Jarett (1980) and ferritin according to White et al (1986).…”
Section: Sampling Proceduresmentioning
confidence: 99%
“…Serum samples were analyzed for determination of serum iron according to Wick et al (1996), and serum zinc concentrations were assessed by flame atomic absorption technique according to Wu (2006). Total protein was determined according to Sonnenwirth and Jarett (1980) and ferritin according to White et al (1986).…”
Section: Sampling Proceduresmentioning
confidence: 99%
“…15 Similar to RDX, HMX also contains several polymorphic phases (e.g., α, β, δ, and the hydrated γ-form), with the β-phase having the most commercial significance because of its insensitive nature and high density. 14 Despite having a relatively high manufacturing cost and raising safety concerns, the most recent 2,4,6,8,10,12-hexanitro- 1) and also more potent than ordinary HMX-based propellants. 15,16 Additionally, it has a better oxidizer-to-fuel ratio than the commonly used high explosives HMX and RDX.…”
Section: Introductionmentioning
confidence: 99%
“…Under ambient conditions, RDX exists in both αand β-polymorphic phases, with the α-phase having a higher density than the β-phase. 14 In the 1930s, HMX was originally identified as a coincidental byproduct of the Bachmann procedure for the synthesis of RDX. Since HMX is highly performing and less sensitive than RDX, it is frequently used to synthesize polymer-bonded explosives, nuclear weapon detonators, and rocket propellants.…”
Section: Introductionmentioning
confidence: 99%
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“…Maier and Dandy (2000) reviewed recent papers dealing with the use of neural network models for the prediction and forecasting of water resources variables. Rojas (1996), Hassoun (1995), andKartam (1994) have used feedforward networks with sigmoidal-type transfer functions for the prediction and forecasting of water resources variables. Chau (2006) has reviewed the development and current progress of the integration of artificial intelligence into water quality modeling.…”
Section: Introduction In Water Demand Univariate Forecastingmentioning
confidence: 99%