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Ahmed Alhmoudi
D6
March 13, 2018
Pre-ReflectionExperiment # 4: Fluidized beds Full
technical laboratory/research report
I am currently enrolled in CHE 352 at Arizona State University
that is instructed by Dr. Veronica Burrows and this is my 5th
experiment for this class which is about fluidized beds. This
full technical report is a requirement for succeeding this class.
This report was originally due Tuesday 6th of march, 2018,
however this day was during spring break and so it was
postponed to a week later 13th of march, 2018. This is my first
technical lab report that I’ll be doing for this class. This will be
quite a challenge for me since I’ve been dealing with non-
technical reports and team reports which requires less work that
technical reports.
I started working on this lab report during spring break which is
a great start for me since I always procrastinate my assignments
and lab reports. This experiment is about fluidized beds and
how the fluid flows through at different conditions. For this
experiment, I must have some background information about
how fluidized beds work and what are the characteristics that
will be studied and compared to a theoretical model. The three
characteristics are pressure gradient, bed expansion, and
incipient fluidization. The contents of these terms will be
explained throughout the report. Since this experiment is right
after the packed beds experiment, the concepts behind how
packed beds flow is very similar to fluidized beds flow,
however in the fluidized bed tube the particles in the tube are
not fixed as in the packed bed tube. Moreover, the fluid that
goes through the bed is air instead of water. Those are the only
two differences between those two experiments.
After completing 3 lab reports and two assignments I feel more
confident about formatting the reports as per the assignment
formatting document that was given to us at the beginning of
the semester. For this report I will be using EXCEL to plot and
analyze my data for the results section and this shouldn’t take
me more time because I’ve dealt with this a few times with my
other lab reports. Also, I will be using 3D paint to draw my
setup for the experiment to include in the materials and
apparatus section.
The particles inside the bed will start moving around at a
certain flow rate. This is the incipient fluidization. At this
minimum flow rate, there will be a minimum fluidization
velocity that will be studied. Bed expansion and pressure drops
will also be analyzed later. These characteristics play a big role
in packed bed reactors, for example, the minimum fluidization
velocity is very important for industries because some
industries will require a minimum fluidization velocity in order
to achieve fluidization in their bed reactor
Post-Reflection
Experiment # 4: (Fluidized beds)
Full technical laboratory/research report
After completing this lab report I realized that this full
technical report was not so bad because I started on this lab
during spring break and it was such a great start for me. The
due date for this lab is Tuesday 13th of March 13, 2018 which
is the week right after spring break. The fluidized be experiment
is very important for me as a chemical engineer since many
industries nowadays are using these types of processes.
This lab went well for the most part, however I do believe that
the ranges of flow rates that were used for both columns were
not the best choices, since the initial fluidization starts at the
lowest flow rate so we didn’t have another comparison to as
where we should point on the plot where the incipient
fluidization is. This was a big problem for this part of the
analysis. I do wish next time someone who will do the
experiment to be very careful about this part of choosing the
range of flow rates.
Before starting this lab I wished to know that the range of flow
rates can be very dangerous to as where it might mess up all the
results section. If the team would do this lab again I would
recommend using two columns that have the same packing
material but different sizes to compare and contrast between
them and see how the size of the tube affects the three
characteristics of the bed. Unlike what we did, we used two
columns of different sizes and different packing material so we
were unable to provide a comparison between those two
columns, so we only ended up comparing them to a theoretical
model only which wasn’t very fruitful.
I learned a lot about how pressure gradient works in bed
reactors and I also learned from my research that bed reactors
are extremely efficient in transferring heat and coating a
reactant with catalyst. This opens for me many designs of
chemical reactors that I’ve never thought about. This helps me
think about my reactor design class in a much better way.
I am sponsored by an oil company and this experiment is a very
fruitful experiment for me since PBR are widely used in those
fields pf chemical engineers. Full technical reports are very
tiring and time consuming. I see no value in writing these
reports in such details to help us be better chemical engineers
because in many companies the work field is very different to
what we are doing and they are focused on many other things
that are hand-on related and how to operate those machines and
so on. Our jobs will most likely not have us write 20 page
reports every week about what we work on. I believe that ASU
must reconsider the system of how this class works. It is true
that some of the experiments done in this class are very
important, however there are many other ways to teach about
how these experiments and machines work than to just let
students “explore” how to run an experiment. If I was a
professor, I would definitely remove the pre- and post-reflection
part since I see no value at all in these reflections.
To conclude this lab was quite interesting and I wish that I pass
this class this semester because I am a very bad writer and I am
pushing myself to the limit at each lab report by not sleeping at
all and having a bad habit of buying fast food all the time
because of these reports. Much love and god bless.
Personality and Social Sciences
Do men with excessive alcohol consumption and social stability
have an
addictive personality?
KRISTINA BERGLUND,1 ERIKA ROMAN,2 JAN BALLDIN,3
ULF BERGGREN,3 MATTS ERIKSSON,3
PETTER GUSTAVSSON4 and CLAUDIA FAHLKE1
1Department of Psychology, University of Gothenburg, Sweden
2Department of Pharmaceutical Biosciences, Division of
Pharmacology, Uppsala University, Sweden
3Sahlgrenska Academy at University of Gothenburg, Institute of
Clinical Neuroscience and Physiology, Department of
Psychiatry and Neurochemistry
Sweden
4Department of Neurobiology, Care Science and Society,
Karolinska Institutet, Sweden
Berglund, K., Roman, E., Balldin, J., Berggren, U., Eriksson,
M., Gustavsson, P. & Fahlke, C. (2011). Do men with excessive
alcohol consumption and
social stability have an addictive personality? Scandinavian
Journal of Psychology 52, 257–260.
The existence of an ‘‘addictive’’ personality has been
extensively debated. The current study investigated personality
in male individuals with excessive
alcohol consumption (n = 100) in comparison to a population-
based control group (n = 131). The individuals with excessive
alcohol consumption were
recruited by advertisements in a regional daily newspaper and
controls from a population based Swedish Twin Registry.
Personality was assessed by the
Karolinska Scales of Personality (KSP). Comparisons were
made with normative data. Furthermore, by using a multivariate
projection-based approach
(Principal Component Analysis; PCA), hidden structures of
traits and possible relationships among the individuals with
excessive consumption and the
controls was investigated. The individuals with excessive
alcohol consumption as well as the controls had mean values
within the normative range in all
scales of the KSP. Moreover, the PCA analysis revealed no
systematic between-group separation. Taken together, this result
demonstrates that male individ-
uals with excessive alcohol consumption do not have a
personality different from that of a general population, which
supports the notion of no ‘‘addictive
personality’’.
Key words: Personality, men, excessive alcohol consumption.
Kristina Berglund, Department of Psychology, University of
Gothenburg, PO Box 500, SE-405 30 Göteborg, Sweden. Tel:
46-31-786 18 78; fax: 46-31-
786 46 28; e-mail: [email protected]
INTRODUCTION
There have been several attempts to describe individuals with
excessive alcohol consumption according to personality and
other
characteristics and then classify them into cluster groups or
multi-
dimensional typologies. Besides the typologies of alcoholism by
Babor (1996) and Lesch and Walter (1996), one of the most
com-
monly used typology is the type 1 and type 2 alcoholism devel-
oped by Cloninger, Bohman and Sigvardsson (1981). According
to this classification individuals with type 1 alcoholism are
charac-
terized by social stability with late onset of alcoholism, few
psy-
chopathological symptoms and social complications (Cloninger,
Sigvardsson & Bohman, 1996). In contrast, the type 2 alcoholics
have an earlier onset of alcoholism, more severe dependence
with
serious social and medical consequences due to their drinking
behavior and also a more severe psychopathology (Cloninger
et al., 1981, 1996; Sigvardsson, Bohman & Cloninger, 1996).
Studies have also found that type 2 alcoholics have a different
personality profile in comparison to type 1 alcoholics,
character-
ized by sensation seeking, impulsiveness, monotony avoidance
and aggressiveness (Cloninger et al., 1996; von Knorring, von
Knorring, Smigan, Lindberg & Edholm, 1987). Furthermore,
they
have a lower degree of harm avoidance and less feelings of guilt
(Cloninger et al., 1996, von Knorring et al., 1987). This
personal-
ity pattern has some resemblance with various personality disor-
ders. In fact, some researchers have, for example, proposed that
type 2 alcoholism rather represents a separate diagnostic entity,
the antisocial personality disorder, than alcoholism itself
(Schuckit
& Irwin, 1989). The personality profile of type 2 individuals is
thus fairly well investigated and discussed in the literature
(Cloninger et al., 1981, 1996, Sher, Trull, Bartholow & Vieth,
1999). Less is known whether Cloninger’s type 1 alcoholics also
are characterized by such a distinctive personality pattern as
their
type 2 counterpart.
The majority of individuals with excessive alcohol consump-
tion have characteristics resembling those of type 1 alcoholics
(Cloninger et al., 1996), that is, few social complications and
psy-
chopathological symptoms, and late onset of alcohol-related
prob-
lems (see Berglund, 2009; Schuckit, 2009). To our knowledge,
there are no studies which have investigated whether
individuals
with excessive alcohol consumption per se are characterized by
specific personality patterns.
Aim
The main objective of the present study was to investigate
person-
ality traits in a group of male individuals with excessive alcohol
consumption and in controls by comparison with normative data
and also by a multivariate projection-based approach. For the
lat-
ter purpose, principal component analysis (PCA) was used for
pat-
tern recognition and image compression, thus identifying the
most
important gradients, that is, revealing the hidden structure of
traits
(Eriksson, Johansson, Kettaneh-Wold, Trygg, Wikström &
Wold,
2006). Personality traits were investigated by using the
Karolinska
� 2011 The Authors.
Scandinavian Journal of Psychology � 2011 The Scandinavian
Psychological Associations. Published by Blackwell Publishing
Ltd., 9600 Garsington
Road, Oxford OX4 2DQ, UK and 350 Main Street, Malden, MA
02148, USA. ISSN 0036-5564.
Scandinavian Journal of Psychology, 2011, 52, 257–260 DOI:
10.1111/j.1467-9450.2010.00872.x
Scales of Personality (KSP), which quantifies individual differ-
ences in habitual, overt behavior preferences, cognitive style
and
reaction to a given situation (Schalling, Åsberg, Edman & Ore-
land, 1987).
METHOD
Participants
Male individuals (n = 100) with excessive alcohol consumption
were
recruited by advertisements in a regional daily newspaper. The
advertise-
ments were entitled with the questions: ‘‘Do you drink more
alcohol than
you actually want?’’ followed by ‘‘Are you male and between
18–65 years, healthy and with a permanent residence?’’
Excessive alco-
hol consumption was defined as consuming more than three
standard
drinks of alcohol (about 40 g of pure alcohol) per day (Miller,
Anton,
Egan, Basile & Nguyen, 2005). To be included in the study they
also
had to be employed or living on a pension. They had to be
without phys-
ical or psychiatric disorders not associated with excessive
alcohol intake
or have abuse or dependence on substances other than alcohol
and nico-
tine. The subjects in the present study have been included in
earlier stud-
ies of ours, when investigating possible pharmacotherapeutical
interventions for alcohol-dependence (Balldin, Berggren, Engel,
Eriksson,
Hård & Söderpalm, 1994; Eriksson, Berggren, Blennow, Fahlke
& Ball-
din, 2001a; Eriksson, Fahlke, Hansen, Berggren, Mårin &
Balldin,
2001b). However, data for the personality profiles have only
been pub-
lished for a sub-group (n = 33) of these individuals (Berglund,
Fahlke,
Berggren, Eriksson & Balldin, 2006).
For the PCA analysis a control group was recruited from the
ongoing
population-based Swedish Adoption/Twin Study of Ageing
(SATSA),
which consists of twins separated at an early age and reared
apart and a
matched sample of twins who were reared together (Pedersen,
McClearn,
Plomin, Nesselroade, Berg & DeFaire, 1991). In 1995 twin pairs
from
the SATSA cohort born in 1935 or later were considered
eligible for par-
ticipation in a substudy on the relationship between personality
and
health (Gustavsson, Weinryb, Göransson, Pedersen & Åsberg,
1997). Out
of 194 males in the SATSA cohort 136 gave their informed
consent and
answered a postal survey (response rate 70%). Of these
individuals, five
had too many missing data; therefore 131 individuals were
included in
this study as controls.
This investigation has been approved by the Ethics Committee
of
Göteborg and Karolinska Institutet, Stockholm.
Procedure
After a telephone interview/screening, eligible individuals with
excessive
alcohol consumption were invited for an examination at the
research cen-
ter. They were examined psychiatrically using a semi-structured
interview
by an experienced psychiatrist from the alcoholism treatment
unit at a
University Hospital. This interview also included questions
whether the
subjects fulfilled the DSM-IV criteria for alcohol abuse or
dependence
(American Psychiatric Association, 1994). In addition, they
were
requested to estimate for how long a time-period (in years) they
had con-
sumed this excessive level of alcohol. The age of the subjects at
onset of
excessive alcohol consumption could thus be calculated and
recorded.
Determination of illicit drugs and bensodiazepines in urine
samples was
also performed using suitable laboratory screening procedures
in order to
follow the exclusion criteria. During two weeks thereafter
individuals
had to record their daily alcohol consumption on a self-
monitoring form
called an alco-card (for details, see Balldin et al., 1994).
After these two weeks an experienced research nurse at the
research
center assessed possible depressive and anxiety symptoms using
the
Hamilton Depression Scale (HDS; Hamilton, 1967; total sum of
scores
ranging from 0–52) and Hamilton Anxiety Scale (HAS;
Hamilton, 1959;
total sum of scores ranging from 0–56), respectively. The nurse
also
administered the self-rating scale KSP for assessment of the
personality
profile, see below.
Assessment of personality
The Karolinska Scales of Personality (KSP) comprises 135
items with a
four-point response format grouped in 15 scales (Ramklint &
Ekselius,
2003; Schalling et al., 1987). Four scales are related to anxiety
proneness
(i.e. somatic anxiety, psychic anxiety, muscular tension and
psychasthe-
nia), three scales to vulnerability for disinhibitory
psychopathology (i.e.
impulsiveness, monotony avoidance and socialization) and six
scales to
aggressiveness and hostility (i.e. verbal aggression, indirect
aggression,
irritability, suspicion, guilt and inhibition of aggression). The
remaining
two scales are detachment and social desirability.
Statistics
In the present study all individual raw data from the personality
test KSP
was transformed into normative T-scores (mean ± SD: 50 ± 10)
(Gu-
stavsson et al., 1997; Schalling et al., 1987).
The Soft Independent Modelling of Class Analogy (SIMCA)
Principal
Component Analysis (PCA) was used for pattern recognition
and image
compression. One advantage of this PCA is that it handles many
variables and few observations as well as few variables and
many obser-
vations. The SIMCA PCA is a projection method which can deal
with
non-linear relationships, based on how the various measures for
each
individual form a multidimensional space. Thus, the individuals
and not
the groups (i.e. individuals with excessive alcohol consumption
and con-
trols) are tested in this model. This PCA method includes
‘‘scaling’’ and
‘‘mean-centering’’ to facilitate that the variables are given the
same
weight in the model. The method is designed to extract and
display the
systemic variation in a data set. The PCA creates a score plot
showing a
summary of the relationship among the individuals and a
loading plot
identifying variables important for creating these relationships,
that is,
the different personality dimensions of KSP. How much a
variable con-
tributes can be read from the loading plot. The closer to the
origin of
coordinates the more the variable contributes to the pattern
recognition
(Eriksson et al., 2006; Wold, Ebensen & Geladi, 1987). The
SPSS 15.0
and SIMCA-P + 11.5 software (Umetrics AB, Umeå, Sweden)
were used
for the analyses. Differences were considered statistically
significant at
p < 0.05.
RESULTS
Background data
At the time of investigation, the individuals with excessive
alco-
hol consumption had an age (mean ± sd; range) of 49 ± 7 (28–
64) years. Out of the individuals, 66 fulfilled the DSM-IV
criteria
for alcohol-dependence and the remaining 34 the criteria for
alco-
hol abuse. Age at onset of excessive alcohol consumption was
40 ± 10 years (n = 96) and the reported duration of such con-
sumption was 9 ± 8 years (n = 95). The scores for HDS and for
HAM were within the normal range (3.2 ± 3.9 and 7.4 ± 6.8
[n = 84], respectively).
The age of the control group was 53 ± 7 (38–61) years. In this
group 85% reported that they were married (or living together
with a partner) and 84% were employed (8% non-employed and
8% retired).
Patterns of personality profiles among male individuals with
excessive alcohol consumption and controls
The individuals with excessive alcohol consumption as well as
the controls had mean values within the normative range (T-
scores
mean ± 2 SD; 30–70), in all 15 scales of the KSP, see Fig. 1a
and
1b.
258 K. Berglund et al. Scand J Psychol 52 (2011)
� 2011 The Authors.
Scandinavian Journal of Psychology � 2011 The Scandinavian
Psychological Associations.
The systematic variance of individuals with excessive alcohol
consumption and controls in the scales of the KSP was investi-
gated using the PCA. The score plot indicated no between-group
separation (see Fig. 2a). There was, however, significantly more
outliers in the group of individuals with excessive alcohol con-
sumption (n = 11; 11%) in comparison to controls (n = 4; 3%);
v2 = 4,94, 1 df, p < 0.05. The majority of the outliers in the
group
of individuals with excessive alcohol consumption had higher
psychic anxiety and lower impulsiveness and monotony avoid-
ance. Figure 2b shows how the dimensions of the KSP loaded in
the model, regardless of the two groups. Dimensions appearing
close to the origin are less significant, whereas dimensions
appear-
ing at some distance are more important. Psychic anxiety and
impulsiveness loaded opposite with the largest span to each
other,
which indicates an inverse relationship between these two
dimen-
sions.
DISCUSSION
Our hypothesis that male individuals with excessive alcohol
consumption do not have a specific ‘‘addictive’’ personality,
was
confirmed in this study. Thus, this group as well as the popula-
tion-based control group had mean values within the normative
range in all scales of the KSP. Furthermore the score plot in the
PCA did not indicate a between-group separation. Our findings,
obtained by either norm group comparisons or through the use
of
the statistical method of PCA, are thus in agreement with our
own
previous findings (Berglund et al., 2006; Eriksson et al., 2001a)
that individuals with excessive alcohol consumption do not
differ
in personality patterns from a general reference population as
assessed by the Temperament and Character Inventory
(Cloninger,
Svrakic & Przybeck, 1993). These results are also in agreement
with the notion that there exists little empirical evidence for a
cer-
tain ‘‘addictive personality’’ (e.g. Mulder, 2002; Sher & Trull,
1994; Sutker & Allain, 1988; Weijers et al., 1999) at least
regard-
ing individuals with excessive alcohol consumption resembling
either type 1 alcoholics (Cloninger et al., 1981) or those with
social stability (Berglund, 2009; Schuckit, 2009).
Despite no between-group separation in the PCA analysis, there
was, however, more outliers in the group of individuals with
excessive alcohol consumption (11%) as compared to controls
(3%). The majority of these outliers had higher psychic anxiety
and lower impulsiveness scores. According to the definition of
KSP (Schalling et al., 1987), higher scores of the dimension
(a)
Individuals with excessive
alcohol consumption
0
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SA PA MT PS IM MA SO IA VA IR SU GU IoA DE SD
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re
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Fig. 1. T-scores (mean ± SD) for personality traits as assessed
by the Karolinska Scales of Personality: (a) the T-scores for
male individuals with excessive
alcohol consumption (n = 100); (b) the T-scores for the male
controls (n = 131). Note: SA = somatic anxiety, PA = psychic
anxiety, MT = muscular
tension, PS = psychasthenia, IM = impulsiveness, MA =
monotony avoidance, SO = socialization, IA = indirect
aggression, VA = verbal aggression, IR =
irritability, SU = suspicion, GU = guilt, IoA = inhibition of
aggression, DE = detachment and SD = social desirability.
–4
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PA
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DE
PS
SO
IAVA
IRSUGU
IoA
(a) PCA score plot for individuals with excessive alcohol
consumption (A) and controls (C)
(b) PCA loading for the 15 dimensions of KSP
Fig. 2. (a) the PCA score plot for male individuals with
excessive alcohol
consumption (n = 100) and male controls (n = 131). The ellipse
denotes
the limit for 2 SD; (b) the PCA loading plot for the 15
dimensions of the
KSP for both groups together. Note: SA = somatic anxiety, PA
= psychic
anxiety, MT = muscular tension, PS = psychasthenia, IM =
impulsiveness,
MA = monotony avoidance, SO = socialization, IA = indirect
aggression,
VA = verbal aggression, IR = irritability, SU = suspicion, GU =
guilt, IoA
= inhibition of aggression, DE = detachment and SD = social
desirability.
Scand J Psychol 52 (2011) Personality in men with excessive
alcohol consumption 259
� 2011 The Authors.
Scandinavian Journal of Psychology � 2011 The Scandinavian
Psychological Associations.
psychic anxiety reflect anxiousness, lack of self-confidence and
social anxiety (i.e. neuroticism or negative emotionality).
Lower
scores of the dimension impulsiveness reflect well-planned
behav-
ior and less acting on the spur of the moment. Since this study
is
cross-sectional, we cannot conclude whether this deviating per-
sonality pattern in the outliers had a causal role in the develop-
ment of alcoholism, or if this personality pattern rather is a
consequence of excessive alcohol consumption. It should, how-
ever, be emphasized that 89% of male individuals with
excessive
alcohol consumption have personality traits within the normal
range.
There are some limitations in the present study. First, only mid-
dle-aged men were included in this study. Secondly, they were
recruited by advertisements, mainly aimed to investigate
pharma-
cotherapeutical interventions for excessive alcohol consumption
(Balldin et al., 1994; Eriksson et al., 2001a, 2001b). These
limita-
tions may impede the generalization of the findings to other
groups of individuals with excessive alcohol consumption.
More-
over, the control group was recruited from a population-based
Swedish Twin Registry (Pedersen et al., 1991). It cannot be
excluded that some individuals within that group also had
exces-
sive alcohol consumption. Finally, it may be argued that the
samples were relatively small for such statistical analysis as
PCA.
It should, however, be noted that the total sample was 231
individuals.
CONCLUSION
The majority of male individuals with excessive alcohol
consump-
tion, recruited by advertisement and at the time of the study not
participating in any treatment, do not have a personality
different
from that of a general population. This finding thus supports the
notion that there exists no ‘‘addictive’’ personality. As socially
stable men with excessive alcohol consumption may represent
the
majority of the population with alcohol problems, this finding
may be of importance when formulating national guidelines for
care-giving and treatment of this group.
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Ahmed AlhmoudiD6March 13, 2018Pre-ReflectionExperiment.docx

  • 1. Ahmed Alhmoudi D6 March 13, 2018 Pre-ReflectionExperiment # 4: Fluidized beds Full technical laboratory/research report I am currently enrolled in CHE 352 at Arizona State University that is instructed by Dr. Veronica Burrows and this is my 5th experiment for this class which is about fluidized beds. This full technical report is a requirement for succeeding this class. This report was originally due Tuesday 6th of march, 2018, however this day was during spring break and so it was postponed to a week later 13th of march, 2018. This is my first technical lab report that I’ll be doing for this class. This will be quite a challenge for me since I’ve been dealing with non- technical reports and team reports which requires less work that technical reports. I started working on this lab report during spring break which is a great start for me since I always procrastinate my assignments and lab reports. This experiment is about fluidized beds and how the fluid flows through at different conditions. For this experiment, I must have some background information about how fluidized beds work and what are the characteristics that will be studied and compared to a theoretical model. The three characteristics are pressure gradient, bed expansion, and incipient fluidization. The contents of these terms will be explained throughout the report. Since this experiment is right after the packed beds experiment, the concepts behind how packed beds flow is very similar to fluidized beds flow, however in the fluidized bed tube the particles in the tube are not fixed as in the packed bed tube. Moreover, the fluid that goes through the bed is air instead of water. Those are the only two differences between those two experiments. After completing 3 lab reports and two assignments I feel more confident about formatting the reports as per the assignment
  • 2. formatting document that was given to us at the beginning of the semester. For this report I will be using EXCEL to plot and analyze my data for the results section and this shouldn’t take me more time because I’ve dealt with this a few times with my other lab reports. Also, I will be using 3D paint to draw my setup for the experiment to include in the materials and apparatus section. The particles inside the bed will start moving around at a certain flow rate. This is the incipient fluidization. At this minimum flow rate, there will be a minimum fluidization velocity that will be studied. Bed expansion and pressure drops will also be analyzed later. These characteristics play a big role in packed bed reactors, for example, the minimum fluidization velocity is very important for industries because some industries will require a minimum fluidization velocity in order to achieve fluidization in their bed reactor Post-Reflection Experiment # 4: (Fluidized beds) Full technical laboratory/research report After completing this lab report I realized that this full technical report was not so bad because I started on this lab during spring break and it was such a great start for me. The due date for this lab is Tuesday 13th of March 13, 2018 which is the week right after spring break. The fluidized be experiment is very important for me as a chemical engineer since many industries nowadays are using these types of processes. This lab went well for the most part, however I do believe that the ranges of flow rates that were used for both columns were not the best choices, since the initial fluidization starts at the lowest flow rate so we didn’t have another comparison to as where we should point on the plot where the incipient fluidization is. This was a big problem for this part of the analysis. I do wish next time someone who will do the
  • 3. experiment to be very careful about this part of choosing the range of flow rates. Before starting this lab I wished to know that the range of flow rates can be very dangerous to as where it might mess up all the results section. If the team would do this lab again I would recommend using two columns that have the same packing material but different sizes to compare and contrast between them and see how the size of the tube affects the three characteristics of the bed. Unlike what we did, we used two columns of different sizes and different packing material so we were unable to provide a comparison between those two columns, so we only ended up comparing them to a theoretical model only which wasn’t very fruitful. I learned a lot about how pressure gradient works in bed reactors and I also learned from my research that bed reactors are extremely efficient in transferring heat and coating a reactant with catalyst. This opens for me many designs of chemical reactors that I’ve never thought about. This helps me think about my reactor design class in a much better way. I am sponsored by an oil company and this experiment is a very fruitful experiment for me since PBR are widely used in those fields pf chemical engineers. Full technical reports are very tiring and time consuming. I see no value in writing these reports in such details to help us be better chemical engineers because in many companies the work field is very different to what we are doing and they are focused on many other things that are hand-on related and how to operate those machines and so on. Our jobs will most likely not have us write 20 page reports every week about what we work on. I believe that ASU must reconsider the system of how this class works. It is true that some of the experiments done in this class are very important, however there are many other ways to teach about how these experiments and machines work than to just let
  • 4. students “explore” how to run an experiment. If I was a professor, I would definitely remove the pre- and post-reflection part since I see no value at all in these reflections. To conclude this lab was quite interesting and I wish that I pass this class this semester because I am a very bad writer and I am pushing myself to the limit at each lab report by not sleeping at all and having a bad habit of buying fast food all the time because of these reports. Much love and god bless. Personality and Social Sciences Do men with excessive alcohol consumption and social stability have an addictive personality? KRISTINA BERGLUND,1 ERIKA ROMAN,2 JAN BALLDIN,3 ULF BERGGREN,3 MATTS ERIKSSON,3 PETTER GUSTAVSSON4 and CLAUDIA FAHLKE1 1Department of Psychology, University of Gothenburg, Sweden 2Department of Pharmaceutical Biosciences, Division of Pharmacology, Uppsala University, Sweden 3Sahlgrenska Academy at University of Gothenburg, Institute of Clinical Neuroscience and Physiology, Department of Psychiatry and Neurochemistry Sweden 4Department of Neurobiology, Care Science and Society, Karolinska Institutet, Sweden Berglund, K., Roman, E., Balldin, J., Berggren, U., Eriksson, M., Gustavsson, P. & Fahlke, C. (2011). Do men with excessive
  • 5. alcohol consumption and social stability have an addictive personality? Scandinavian Journal of Psychology 52, 257–260. The existence of an ‘‘addictive’’ personality has been extensively debated. The current study investigated personality in male individuals with excessive alcohol consumption (n = 100) in comparison to a population- based control group (n = 131). The individuals with excessive alcohol consumption were recruited by advertisements in a regional daily newspaper and controls from a population based Swedish Twin Registry. Personality was assessed by the Karolinska Scales of Personality (KSP). Comparisons were made with normative data. Furthermore, by using a multivariate projection-based approach (Principal Component Analysis; PCA), hidden structures of traits and possible relationships among the individuals with excessive consumption and the controls was investigated. The individuals with excessive alcohol consumption as well as the controls had mean values within the normative range in all scales of the KSP. Moreover, the PCA analysis revealed no systematic between-group separation. Taken together, this result demonstrates that male individ- uals with excessive alcohol consumption do not have a personality different from that of a general population, which supports the notion of no ‘‘addictive personality’’. Key words: Personality, men, excessive alcohol consumption. Kristina Berglund, Department of Psychology, University of Gothenburg, PO Box 500, SE-405 30 Göteborg, Sweden. Tel: 46-31-786 18 78; fax: 46-31- 786 46 28; e-mail: [email protected]
  • 6. INTRODUCTION There have been several attempts to describe individuals with excessive alcohol consumption according to personality and other characteristics and then classify them into cluster groups or multi- dimensional typologies. Besides the typologies of alcoholism by Babor (1996) and Lesch and Walter (1996), one of the most com- monly used typology is the type 1 and type 2 alcoholism devel- oped by Cloninger, Bohman and Sigvardsson (1981). According to this classification individuals with type 1 alcoholism are charac- terized by social stability with late onset of alcoholism, few psy- chopathological symptoms and social complications (Cloninger, Sigvardsson & Bohman, 1996). In contrast, the type 2 alcoholics have an earlier onset of alcoholism, more severe dependence with serious social and medical consequences due to their drinking behavior and also a more severe psychopathology (Cloninger
  • 7. et al., 1981, 1996; Sigvardsson, Bohman & Cloninger, 1996). Studies have also found that type 2 alcoholics have a different personality profile in comparison to type 1 alcoholics, character- ized by sensation seeking, impulsiveness, monotony avoidance and aggressiveness (Cloninger et al., 1996; von Knorring, von Knorring, Smigan, Lindberg & Edholm, 1987). Furthermore, they have a lower degree of harm avoidance and less feelings of guilt (Cloninger et al., 1996, von Knorring et al., 1987). This personal- ity pattern has some resemblance with various personality disor- ders. In fact, some researchers have, for example, proposed that type 2 alcoholism rather represents a separate diagnostic entity, the antisocial personality disorder, than alcoholism itself (Schuckit & Irwin, 1989). The personality profile of type 2 individuals is thus fairly well investigated and discussed in the literature (Cloninger et al., 1981, 1996, Sher, Trull, Bartholow & Vieth, 1999). Less is known whether Cloninger’s type 1 alcoholics also
  • 8. are characterized by such a distinctive personality pattern as their type 2 counterpart. The majority of individuals with excessive alcohol consump- tion have characteristics resembling those of type 1 alcoholics (Cloninger et al., 1996), that is, few social complications and psy- chopathological symptoms, and late onset of alcohol-related prob- lems (see Berglund, 2009; Schuckit, 2009). To our knowledge, there are no studies which have investigated whether individuals with excessive alcohol consumption per se are characterized by specific personality patterns. Aim The main objective of the present study was to investigate person- ality traits in a group of male individuals with excessive alcohol consumption and in controls by comparison with normative data and also by a multivariate projection-based approach. For the lat-
  • 9. ter purpose, principal component analysis (PCA) was used for pat- tern recognition and image compression, thus identifying the most important gradients, that is, revealing the hidden structure of traits (Eriksson, Johansson, Kettaneh-Wold, Trygg, Wikström & Wold, 2006). Personality traits were investigated by using the Karolinska � 2011 The Authors. Scandinavian Journal of Psychology � 2011 The Scandinavian Psychological Associations. Published by Blackwell Publishing Ltd., 9600 Garsington Road, Oxford OX4 2DQ, UK and 350 Main Street, Malden, MA 02148, USA. ISSN 0036-5564. Scandinavian Journal of Psychology, 2011, 52, 257–260 DOI: 10.1111/j.1467-9450.2010.00872.x Scales of Personality (KSP), which quantifies individual differ- ences in habitual, overt behavior preferences, cognitive style and reaction to a given situation (Schalling, Åsberg, Edman & Ore- land, 1987).
  • 10. METHOD Participants Male individuals (n = 100) with excessive alcohol consumption were recruited by advertisements in a regional daily newspaper. The advertise- ments were entitled with the questions: ‘‘Do you drink more alcohol than you actually want?’’ followed by ‘‘Are you male and between 18–65 years, healthy and with a permanent residence?’’ Excessive alco- hol consumption was defined as consuming more than three standard drinks of alcohol (about 40 g of pure alcohol) per day (Miller, Anton, Egan, Basile & Nguyen, 2005). To be included in the study they also had to be employed or living on a pension. They had to be without phys- ical or psychiatric disorders not associated with excessive alcohol intake or have abuse or dependence on substances other than alcohol and nico- tine. The subjects in the present study have been included in earlier stud- ies of ours, when investigating possible pharmacotherapeutical interventions for alcohol-dependence (Balldin, Berggren, Engel, Eriksson, Hård & Söderpalm, 1994; Eriksson, Berggren, Blennow, Fahlke & Ball- din, 2001a; Eriksson, Fahlke, Hansen, Berggren, Mårin & Balldin, 2001b). However, data for the personality profiles have only been pub-
  • 11. lished for a sub-group (n = 33) of these individuals (Berglund, Fahlke, Berggren, Eriksson & Balldin, 2006). For the PCA analysis a control group was recruited from the ongoing population-based Swedish Adoption/Twin Study of Ageing (SATSA), which consists of twins separated at an early age and reared apart and a matched sample of twins who were reared together (Pedersen, McClearn, Plomin, Nesselroade, Berg & DeFaire, 1991). In 1995 twin pairs from the SATSA cohort born in 1935 or later were considered eligible for par- ticipation in a substudy on the relationship between personality and health (Gustavsson, Weinryb, Göransson, Pedersen & Åsberg, 1997). Out of 194 males in the SATSA cohort 136 gave their informed consent and answered a postal survey (response rate 70%). Of these individuals, five had too many missing data; therefore 131 individuals were included in this study as controls. This investigation has been approved by the Ethics Committee of Göteborg and Karolinska Institutet, Stockholm. Procedure After a telephone interview/screening, eligible individuals with excessive
  • 12. alcohol consumption were invited for an examination at the research cen- ter. They were examined psychiatrically using a semi-structured interview by an experienced psychiatrist from the alcoholism treatment unit at a University Hospital. This interview also included questions whether the subjects fulfilled the DSM-IV criteria for alcohol abuse or dependence (American Psychiatric Association, 1994). In addition, they were requested to estimate for how long a time-period (in years) they had con- sumed this excessive level of alcohol. The age of the subjects at onset of excessive alcohol consumption could thus be calculated and recorded. Determination of illicit drugs and bensodiazepines in urine samples was also performed using suitable laboratory screening procedures in order to follow the exclusion criteria. During two weeks thereafter individuals had to record their daily alcohol consumption on a self- monitoring form called an alco-card (for details, see Balldin et al., 1994). After these two weeks an experienced research nurse at the research center assessed possible depressive and anxiety symptoms using the Hamilton Depression Scale (HDS; Hamilton, 1967; total sum of scores ranging from 0–52) and Hamilton Anxiety Scale (HAS; Hamilton, 1959;
  • 13. total sum of scores ranging from 0–56), respectively. The nurse also administered the self-rating scale KSP for assessment of the personality profile, see below. Assessment of personality The Karolinska Scales of Personality (KSP) comprises 135 items with a four-point response format grouped in 15 scales (Ramklint & Ekselius, 2003; Schalling et al., 1987). Four scales are related to anxiety proneness (i.e. somatic anxiety, psychic anxiety, muscular tension and psychasthe- nia), three scales to vulnerability for disinhibitory psychopathology (i.e. impulsiveness, monotony avoidance and socialization) and six scales to aggressiveness and hostility (i.e. verbal aggression, indirect aggression, irritability, suspicion, guilt and inhibition of aggression). The remaining two scales are detachment and social desirability. Statistics In the present study all individual raw data from the personality test KSP was transformed into normative T-scores (mean ± SD: 50 ± 10) (Gu- stavsson et al., 1997; Schalling et al., 1987). The Soft Independent Modelling of Class Analogy (SIMCA) Principal
  • 14. Component Analysis (PCA) was used for pattern recognition and image compression. One advantage of this PCA is that it handles many variables and few observations as well as few variables and many obser- vations. The SIMCA PCA is a projection method which can deal with non-linear relationships, based on how the various measures for each individual form a multidimensional space. Thus, the individuals and not the groups (i.e. individuals with excessive alcohol consumption and con- trols) are tested in this model. This PCA method includes ‘‘scaling’’ and ‘‘mean-centering’’ to facilitate that the variables are given the same weight in the model. The method is designed to extract and display the systemic variation in a data set. The PCA creates a score plot showing a summary of the relationship among the individuals and a loading plot identifying variables important for creating these relationships, that is, the different personality dimensions of KSP. How much a variable con- tributes can be read from the loading plot. The closer to the origin of coordinates the more the variable contributes to the pattern recognition (Eriksson et al., 2006; Wold, Ebensen & Geladi, 1987). The SPSS 15.0 and SIMCA-P + 11.5 software (Umetrics AB, Umeå, Sweden) were used for the analyses. Differences were considered statistically
  • 15. significant at p < 0.05. RESULTS Background data At the time of investigation, the individuals with excessive alco- hol consumption had an age (mean ± sd; range) of 49 ± 7 (28– 64) years. Out of the individuals, 66 fulfilled the DSM-IV criteria for alcohol-dependence and the remaining 34 the criteria for alco- hol abuse. Age at onset of excessive alcohol consumption was 40 ± 10 years (n = 96) and the reported duration of such con- sumption was 9 ± 8 years (n = 95). The scores for HDS and for HAM were within the normal range (3.2 ± 3.9 and 7.4 ± 6.8 [n = 84], respectively). The age of the control group was 53 ± 7 (38–61) years. In this group 85% reported that they were married (or living together with a partner) and 84% were employed (8% non-employed and 8% retired).
  • 16. Patterns of personality profiles among male individuals with excessive alcohol consumption and controls The individuals with excessive alcohol consumption as well as the controls had mean values within the normative range (T- scores mean ± 2 SD; 30–70), in all 15 scales of the KSP, see Fig. 1a and 1b. 258 K. Berglund et al. Scand J Psychol 52 (2011) � 2011 The Authors. Scandinavian Journal of Psychology � 2011 The Scandinavian Psychological Associations. The systematic variance of individuals with excessive alcohol consumption and controls in the scales of the KSP was investi- gated using the PCA. The score plot indicated no between-group separation (see Fig. 2a). There was, however, significantly more outliers in the group of individuals with excessive alcohol con- sumption (n = 11; 11%) in comparison to controls (n = 4; 3%); v2 = 4,94, 1 df, p < 0.05. The majority of the outliers in the group
  • 17. of individuals with excessive alcohol consumption had higher psychic anxiety and lower impulsiveness and monotony avoid- ance. Figure 2b shows how the dimensions of the KSP loaded in the model, regardless of the two groups. Dimensions appearing close to the origin are less significant, whereas dimensions appear- ing at some distance are more important. Psychic anxiety and impulsiveness loaded opposite with the largest span to each other, which indicates an inverse relationship between these two dimen- sions. DISCUSSION Our hypothesis that male individuals with excessive alcohol consumption do not have a specific ‘‘addictive’’ personality, was confirmed in this study. Thus, this group as well as the popula- tion-based control group had mean values within the normative range in all scales of the KSP. Furthermore the score plot in the PCA did not indicate a between-group separation. Our findings,
  • 18. obtained by either norm group comparisons or through the use of the statistical method of PCA, are thus in agreement with our own previous findings (Berglund et al., 2006; Eriksson et al., 2001a) that individuals with excessive alcohol consumption do not differ in personality patterns from a general reference population as assessed by the Temperament and Character Inventory (Cloninger, Svrakic & Przybeck, 1993). These results are also in agreement with the notion that there exists little empirical evidence for a cer- tain ‘‘addictive personality’’ (e.g. Mulder, 2002; Sher & Trull, 1994; Sutker & Allain, 1988; Weijers et al., 1999) at least regard- ing individuals with excessive alcohol consumption resembling either type 1 alcoholics (Cloninger et al., 1981) or those with social stability (Berglund, 2009; Schuckit, 2009). Despite no between-group separation in the PCA analysis, there was, however, more outliers in the group of individuals with
  • 19. excessive alcohol consumption (11%) as compared to controls (3%). The majority of these outliers had higher psychic anxiety and lower impulsiveness scores. According to the definition of KSP (Schalling et al., 1987), higher scores of the dimension (a) Individuals with excessive alcohol consumption 0 10 20 30 40 50 60 70 80 SA PA MT PS IM MA SO IA VA IR SU GU IoA DE SD T -s co
  • 20. re s (b) Controls 0 10 20 30 40 50 60 70 80 SA PA MT PS IM MA SO IA VA IR SU GU IoA DE SD T -s co re s Fig. 1. T-scores (mean ± SD) for personality traits as assessed by the Karolinska Scales of Personality: (a) the T-scores for male individuals with excessive alcohol consumption (n = 100); (b) the T-scores for the male controls (n = 131). Note: SA = somatic anxiety, PA = psychic
  • 21. anxiety, MT = muscular tension, PS = psychasthenia, IM = impulsiveness, MA = monotony avoidance, SO = socialization, IA = indirect aggression, VA = verbal aggression, IR = irritability, SU = suspicion, GU = guilt, IoA = inhibition of aggression, DE = detachment and SD = social desirability. –4 –3 –2 –1 0 1 2 3 4 –5 –4 –3 –2 –1 0 1 2 3 4 5 6 7 8 A A A A A
  • 32. PA MT SD IMMA DE PS SO IAVA IRSUGU IoA (a) PCA score plot for individuals with excessive alcohol consumption (A) and controls (C) (b) PCA loading for the 15 dimensions of KSP Fig. 2. (a) the PCA score plot for male individuals with excessive alcohol consumption (n = 100) and male controls (n = 131). The ellipse denotes the limit for 2 SD; (b) the PCA loading plot for the 15 dimensions of the KSP for both groups together. Note: SA = somatic anxiety, PA = psychic anxiety, MT = muscular tension, PS = psychasthenia, IM = impulsiveness, MA = monotony avoidance, SO = socialization, IA = indirect
  • 33. aggression, VA = verbal aggression, IR = irritability, SU = suspicion, GU = guilt, IoA = inhibition of aggression, DE = detachment and SD = social desirability. Scand J Psychol 52 (2011) Personality in men with excessive alcohol consumption 259 � 2011 The Authors. Scandinavian Journal of Psychology � 2011 The Scandinavian Psychological Associations. psychic anxiety reflect anxiousness, lack of self-confidence and social anxiety (i.e. neuroticism or negative emotionality). Lower scores of the dimension impulsiveness reflect well-planned behav- ior and less acting on the spur of the moment. Since this study is cross-sectional, we cannot conclude whether this deviating per- sonality pattern in the outliers had a causal role in the develop- ment of alcoholism, or if this personality pattern rather is a consequence of excessive alcohol consumption. It should, how- ever, be emphasized that 89% of male individuals with excessive
  • 34. alcohol consumption have personality traits within the normal range. There are some limitations in the present study. First, only mid- dle-aged men were included in this study. Secondly, they were recruited by advertisements, mainly aimed to investigate pharma- cotherapeutical interventions for excessive alcohol consumption (Balldin et al., 1994; Eriksson et al., 2001a, 2001b). These limita- tions may impede the generalization of the findings to other groups of individuals with excessive alcohol consumption. More- over, the control group was recruited from a population-based Swedish Twin Registry (Pedersen et al., 1991). It cannot be excluded that some individuals within that group also had exces- sive alcohol consumption. Finally, it may be argued that the samples were relatively small for such statistical analysis as PCA. It should, however, be noted that the total sample was 231
  • 35. individuals. CONCLUSION The majority of male individuals with excessive alcohol consump- tion, recruited by advertisement and at the time of the study not participating in any treatment, do not have a personality different from that of a general population. This finding thus supports the notion that there exists no ‘‘addictive’’ personality. As socially stable men with excessive alcohol consumption may represent the majority of the population with alcohol problems, this finding may be of importance when formulating national guidelines for care-giving and treatment of this group. REFERENCES American Psychiatric Association (1994). Diagnostic and Statistical Manual of Mental Disorders (4th edn). Washington, DC: APA. Babor, T. F. (1996). The classification of alcoholics. Alcohol Health & Research World, 20, 6–15. Balldin, J., Berggren, U., Engel, J., Eriksson, M., Hård, E. &
  • 36. Söderpalm, B. (1994). Effect of citalopram on alcohol intake in heavy drinkers. Alcoholism Clinical and Experimental Research, 18, 1133– 1136. Berglund, K. (2009). Socially stable alcoholics: What characterises them? Drinking patterns, personality and health aspects of psychoso- cial and clinical importance (p. 150). Västra Frölunda: Intellecta Inf- olog AB. Berglund, K., Fahlke, C., Berggren, U., Eriksson, M. & Balldin, J. (2006). Personality profile in type 1 alcoholism: Long duration of alcohol intake and low serotonergic activity are predictive factors of anxiety proneness. Journal of Neural Transmission, 113, 1287– 1298. Cloninger, C. R., Bohman, M. & Sigvardsson, S. (1981). Inheritance of alcohol abuse. Archives of General Psychiatry, 38, 861–868. Cloninger, C. R., Sigvardsson, S. & Bohman, M. (1996). Type I and II alcoholism. Alcohol Health and Research World, 20, 18–23. Cloninger, R. C., Svrakic, D. M. & Przybeck, T. R. (1993). A psychobi- ological model of temperament and character. Archives of General Psychiatry, 50, 975–990.
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