Development & Test of a Full Scale Integrated Abatement System for the Treatment Of Ship Air Emissions

2012 ◽  
Author(s):  
D Cazzola ◽  
◽  
E Firenze ◽  
M P Salio ◽  
L Grossi ◽  
...  
Keyword(s):  
2018 ◽  
Vol 54 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Pau San-Valero ◽  
Carmen Gabaldón ◽  
Francisco Javier Álvarez-Hornos ◽  
Marta Izquierdo ◽  
Vicente Martínez-Soria

2010 ◽  
Author(s):  
Byung J. Kim ◽  
Michael R. Kemme ◽  
Brian Gullett ◽  
Mark J. Rood ◽  
Ram Hashmonay ◽  
...  

2016 ◽  
Vol 10 (2) ◽  
pp. 172-189 ◽  
Author(s):  
Joshua F. Allen ◽  
Fred S. Cannon ◽  
Cesar Nieto-Delgado ◽  
Robert C. Voigt ◽  
John T. Fox ◽  
...  

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.


Author(s):  
J. W. van de Lindt ◽  
S. Pei ◽  
Steve Pryor ◽  
Hidemaru Shimizu ◽  
Izumi Nakamura
Keyword(s):  

CONCREEP 10 ◽  
2015 ◽  
Author(s):  
Tomiyuki Kaneko ◽  
Keiichi Imamoto ◽  
Chizuru Kiyohara ◽  
Akio Tanaka ◽  
Ayuko Ishikawa

TAPPI Journal ◽  
2017 ◽  
Vol 16 (7) ◽  
pp. 383-391
Author(s):  
CARLA CÉLIA ROSA MEDEIROS ◽  
FLÁVIA AZEVEDO SILVA ◽  
SAULO GODOY PIGNATON ◽  
ESTANISLAU VICTOR ZUTAUTAS ◽  
KLEVERSON FIGUEIREDO

There are many points in a kraft mill where the alkaline compounds are purged from the process. Several effluents, solid waste, and air emissions contain alkali, which leads to the necessity of chemical makeups to maintain the liquor balance. The main loss of alkali at the Veracel mill is present in the wastewater from the recovery boiler; more precisely, it is from the ash leaching system, which represents 80% of the total losses. To minimize the alkaline losses while keeping the chloride level in the recovery cycle under control, a project was developed at Veracel. Key actions were taken by adjusting the control loops of the ash leaching system, mainly on the slurry density and purge control. These adjustments led to a decrease in alkali losses and to an increase of treated ash, and kept the chloride level of the recovery boiler dust at 2.6%.


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