Distinct comammox Nitrospira catalyze ammonia oxidation in a full-scale groundwater treatment bioreactor under copper limited conditions

2021 ◽  
pp. 117986
Author(s):  
Kazuyoshi Koike ◽  
Garrett J. Smith ◽  
Ryoko Yamamoto-Ikemoto ◽  
Sebastian Lücker ◽  
Norihisa Matsuura
2010 ◽  
Vol 25 (2) ◽  
pp. 111-119 ◽  
Author(s):  
Tomoko Yasuda ◽  
Kazutaka Kuroda ◽  
Dai Hanajima ◽  
Yasuyuki Fukumoto ◽  
Miyoko Waki ◽  
...  

2007 ◽  
Vol 30 (5) ◽  
pp. 408-412 ◽  
Author(s):  
Gerd Innerebner ◽  
Heribert Insam ◽  
Ingrid H. Franke-Whittle ◽  
Bernhard Wett

1988 ◽  
Vol 42 (8) ◽  
pp. 1412-1421 ◽  
Author(s):  
William A. England ◽  
Ansar Ali

CARS spectra of NH3 have been obtained from a commercial catalytic ammonia oxidation plant operating at ∼10 atmospheres (absolute) and 250°C. A purpose-designed ruggedized CARS spectrometer—incorporating a novel dye laser, remote control, and fiber optic signal transfer—is described. A new and simple technique for CARS concentration analysis using polarized beams gave a precision of 5.9% for NH3 from single-shot spectra under laboratory conditions. Unfortunately, severe beam steering problems were encountered in the full-scale plant; this prevented a quantitative analysis of the spectra obtained. The origins of this problem together with suggestions for overcoming or reducing its effect are given.


2000 ◽  
Vol 16 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Louis M. Hsu ◽  
Judy Hayman ◽  
Judith Koch ◽  
Debbie Mandell

Summary: In the United States' normative population for the WAIS-R, differences (Ds) between persons' verbal and performance IQs (VIQs and PIQs) tend to increase with an increase in full scale IQs (FSIQs). This suggests that norm-referenced interpretations of Ds should take FSIQs into account. Two new graphs are presented to facilitate this type of interpretation. One of these graphs estimates the mean of absolute values of D (called typical D) at each FSIQ level of the US normative population. The other graph estimates the absolute value of D that is exceeded only 5% of the time (called abnormal D) at each FSIQ level of this population. A graph for the identification of conventional “statistically significant Ds” (also called “reliable Ds”) is also presented. A reliable D is defined in the context of classical true score theory as an absolute D that is unlikely (p < .05) to be exceeded by a person whose true VIQ and PIQ are equal. As conventionally defined reliable Ds do not depend on the FSIQ. The graphs of typical and abnormal Ds are based on quadratic models of the relation of sizes of Ds to FSIQs. These models are generalizations of models described in Hsu (1996) . The new graphical method of identifying Abnormal Ds is compared to the conventional Payne-Jones method of identifying these Ds. Implications of the three juxtaposed graphs for the interpretation of VIQ-PIQ differences are discussed.


1996 ◽  
Vol 12 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Louis M. Hsu

The difference (D) between a person's Verbal IQ (VIQ) and Performance IQ (PIQ) has for some time been considered clinically meaningful ( Kaufman, 1976 , 1979 ; Matarazzo, 1990 , 1991 ; Matarazzo & Herman, 1985 ; Sattler, 1982 ; Wechsler, 1984 ). Particularly useful is information about the degree to which a difference (D) between scores is “abnormal” (i.e., deviant in a standardization group) as opposed to simply “reliable” (i.e., indicative of a true score difference) ( Mittenberg, Thompson, & Schwartz, 1991 ; Silverstein, 1981 ; Payne & Jones, 1957 ). Payne and Jones (1957) proposed a formula to identify “abnormal” differences, which has been used extensively in the literature, and which has generally yielded good approximations to empirically determined “abnormal” differences ( Silverstein, 1985 ; Matarazzo & Herman, 1985 ). However applications of this formula have not taken into account the dependence (demonstrated by Kaufman, 1976 , 1979 , and Matarazzo & Herman, 1985 ) of Ds on Full Scale IQs (FSIQs). This has led to overestimation of “abnormality” of Ds of high FSIQ children, and underestimation of “abnormality” of Ds of low FSIQ children. This article presents a formula for identification of abnormal WISC-R Ds, which overcomes these problems, by explicitly taking into account the dependence of Ds on FSIQs.


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