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Uber Technologies Inc. issued $2 billion of bonds in October 2018. The total bond issuance included $500 million of five-year bonds with a 7.5% coupon and $1.5 billion of eight-year bonds with an 8% coupon. This bond issuance is Uber’s first bond offering, but it has taken out loans with private investors totaling $2.65 billion to date.
Uber is currently privately held, but is preparing for its initial public stock offering, expected in 2019. In its marketing materials for the bond issuance, Uber revealed that it was profitable in the past year in South America and Europe, but had losses in North America due to competition with Lyft. Overall, Uber had adjusted earnings before interest, taxes, depreciation and amortization of negative $698 billion through the end of June 2019.
Questions
1. How would Uber’s balance sheet be impacted by the $2 billion bond issuance on the date of issuance?
2. How much in cash interest would Uber pay on this bond issuance in 2019?
3. If Uber is not profitable, why do you think creditors would be willing to purchase Uber’s
bonds?

What molecules (proteins) allow all of the biochemical reactions that occur in our bodies to proceed at a temperature that is compatible with life? In other words, how is it that all kinds of metabolic activities are occurring in our bodies without turning us into walking furnaces? What specific mechanisms assist us in maintaining a core homeostasis? Give detailed example. What types of changes would we see in our bodies, life and nature if hydrogen bonds did not exist? Detail one example of a instance of hydrogen bonding, the importance and what would happen if that bond did not exist.

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ESE 306 Cheat Sheet
Laws Of Probability
1. The set Of all possible outcomes Of an experiment
is known as sample space, and it is denoted by Q.
An event is a subset Of Q satisfying the properties
Of a—algebra.
2. For two events A and B in Q, we have
3. The probability Of the intersection Of two events
P (A CJ B) is also denoted by P (A, B).
4. The conditional probability Of an event A given
the occurrence Of another event B is defined by
IP(AIB)
where P (B) > O.
5. Total Probability Theorem: Let BI,B2 Bn be
a partition Of the sample space Q, that is
(a) BI IJB2U...Bn = O and
Then
P (A) = EP(AlBj) P(Bj).
6. Two events A and B are independent if
7. Bayes' theorem:
where BI, T32 ... T3n is a partition Of the sample
space Q.
8. Permutations represent the number Of ordered
arrangements Of n distinct objects. It is given
by
n!
n(n — 1) • • • 1.
1-1
https://www.coursehero.com/fiIe/62579447/ese-306-2017 -cheat-sheetpdf/
9.
10.
11.
12.
13.
Combinations represent the number Of ways Of
selecting k objects from a group Of n distinct
objects, where the ordering Of the k objects is
irrelevant. It is given by
Geometric Series
The sum Of the first N -4- 1 terms Of a geometric
series is given by
I — r N-f_l
For N 00, the sum is given by
1
Irl < I.
Trigonometric Identities
Sin (a —
cos(a ± Ø) —
sin(a) cos(ß) ± cos(a) sin(ß)
cos(a) cos(ß) ZF sin(a) sin(ß)
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One Random Variable
14. The cumulative distribution function (CDF) Of a
random variable X is the function Fx (r) defined
by
FXØ) x).
15. If the random variable X is discrete,
X — — 00
then
16. The probability mass function (PMF) Of a dis-
crete random variable X is defined by
17. If the random variable X is continuous,
FXØ)
fx (u) du,
then
where fx (x) is the probability density function
(PDF) of X.
18. The PMF Of a discrete random variable X can
be obtained from Fx Ø) by
PXØ) x) FÅT) - Fæ@-).
19. The PDF of the continuous random variable X
can be obtained from its CDF by
(IFN (T)
fx (x)
20. A CDF of any random variable X has the fol-
lowing properties:
(a) If < y, Fx(y).
(b) Fx (a; + h) Fx (x) (it is right con-
tinuous).
(c) lim
Fx (x) 0, and limx
1.
FÅX) —
22.
23.
24.
25.
26.
27.
28.
21. A PDF Of a continuous random variable X has
the following properties:
(a) 0 for all x,
1-2
https://www.coursehero.com/fiIe/62579447/ese-306-2017 -cheat-sheetpdf/
Examples Of Discrete Random Vari-
ables
A binomial random variable with parameters p
and n has a PMF given by
n
A geometric random variable with parameter p
has a PMF given by
PXG) —
A negative binomial random variable with pa-
rameters r and p has a PMF given by
PX (x) —
A hypergeometric random variable with param-
eters N, K and n has a PMF given by
px@) —
n}, O N, N > O, and
A Poisson random variable with parameter has
a PMF given by
PX (;r)
Examples Of Continuous Random
Variables
An exponential random variable with parameter
has a PDF given by
The PDF Of a uniform random variable u (a, b)
is given by
1
fx (x)
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29. The PDF Of a normal distribution M (LL, 02)
is
given by
fx (x) —
1
exp
'2T02
—00 < < 00.
'202
30. The PDF Of a Beta distribution B(a, [3) is given
by
fx@) —
a > 0, [3>0
where B (a, [3) is the beta function given by
1
Two Random Variables
31. Joint Cumulative Distribution Hmction (CDF)
32. For any pair Of random variables X, Y
F XO:) 00)
FY(y) y)
00) 1
33. The joint PMF Of discrete random variables X
and Y
34. For the discrete case, the probability Of the event
35. For the discrete random variables
with
36. The joint CDF
TJI
fx,Y(u, v) dvdu
where y) is the joint PDF.
37.
For continuous random variables, the joint PDF
can be obtained from its joint CDF by
02 y)
Da; Dy
A joint PDF fx,y (x, y) has the properties:
38.
y) 20
y) d;rdy 1
For the continuous case, the probability Of the
39.
event { (X, Y) e A} is
fx,Y (x, y) dædy
For the continuous random variables with joint
40.
PDF y)
fx(x)
fx,y (x, y) dy
fY(y) ¯
fx,Y@, y) dm
Independence
41.
Discrete random variables X and Y are said to
be independent, if their joint PMF y)
can be written as a product Of their marginals:
Continuous random variables X and Y are said
42.
to be independent, if their joint PDF fx,y (T, y)
can be written as a product Of their marginals:
PMF y)
PX (x)
PY (y) ¯
yesy
XGS x
joint
1-3
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able, with support sx, is defined by
XPX@)
:reSx
44. The second non-central moment Of
random variable is defined by
E(X2)— E x2Px(x)
x€-Sx
Expectations
43. The expected value Of a discrete random vari-
55. Let
Sums
52. Let the joint PMF of XI
The PMF of Z
given by
and be
Pz(z) (
PXI,x2 XI,z—
a
discrete
53.
54.
Let the joint PDF Of XI
The PDF of Z
given by
fz(z) —
fX1,X2 (Ti,z—
and X2 be
atl)dX1
45. The expected value Of a continuous random vari-
able is defined by
xfx(x) dat
46. The second non-central moment Of a continuous
random variable is defined by
Transformations
Let X and Y be continuous random variables,
where Y g(X). Also, let the real roots Of
y g(a;) be denoted by XI , a:2, • •
Then
E(X2) —
fx (x) dat
47. For any random variable X
E(ax + b) aE(X) + b
48. Mean and variance Of a random variable
E(X2) -
49. Covariance Of two random variables
cov(X, Y) E(XY) -
50. Correlation coefficient
cov(X, Y)
PX,Y ¯
51. The expected value Of a function g(X) Of a ran-
dom variable X
1-4
https://www.coursehero.com/fiIe/62579447/ese-306-2017 -cheat-sheetpdf/
where g' (x)
fy (Y)
(xn)l
91 (XI,X2)
and let the real roots Of the above system Of
for n
equations be denoted by
Then
1,2,....
fX1,X2
where J(TI, [1'2) is the Jacobian Of the transfor-
mation given by
J(XI,
Dgr
DXI
Dg2
Dgl
D 02
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Random Processes
56. A Bernoulli random process X [t] is defined by
X[t] e {0, 1} and 1) = p and =
57. Mean Of a random process
[t] E(X[t]), discrete case
"x (t) E(X(t)),
continuous case
58. Autocorrelation Of a random process
RXX [t + T , t] + discrete case
Rxx(t+T, t)
continuous case
59. Cross-correlation Of a two random processes
RXY[t 4- T, t] E(X[t -4- T]Y[t]), discrete case
RXY (t+T, t) E(X(t+T)Y(t)),
continuous case
60. Discrete-time random process X [t] is Wide Sense
Stationary (WSS) if and only if for all t,
Rxx[t + T, t] Rxx[T]
61. Continuous-time random process X (t) is WSS if
and only if for all t,
RXX (t + T, t) —
RX X (T)
1-5

Gaseous nitrogen actuates a Carnot power cycle in which the respective volumes at the four corners of the cycle, starting at the beginning of the isothermal expansion are V1 = 10.10L, V2 = 14.53L, V3 = 226.54L and V4 = 157.73L. The cycle receives 21.21kJ of heat. determine:
(a) The work
(b) The mean effective pressure.

Endocrine System Lab
Assignment 1.
Endocrine glands function by releasing hormones that move through the blood to targets throughout
the body. The structures labeled A-J in Figure 2 are true endocrine glands; however, other tissues
and organs, like adipose tissue and your kidneys and heart, can also produce hormones. Identify the
endocrine glands in the figure and then match them with the hormone(s) they produce by writing the
correct letter.
Thyroid:
c
Uterus
Thyroid cartilage
Of the larynx
Trachea
Figure 2. Human endocrine glands
_B_
Adrenocorticotropic hormone (ACT H)
Antidiuretic hormone (ADH)
B
Aldosterone
c
Insulin
Luteinizing hormone (LH)
D
Melatonin
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B
Cortisol
B
Epinephrine
Estrogen
E
Follicle stimulating hormone (FSH)
B
Glucagon
Growth hormone (GH)
Assignment 2.
E
Oxytocin
Progesterone
Prolactin
J
Testosterone
Thyroxine
G
Thyroid stimulating hormone (TSH)
Endocrine disorders can often be difficult to diagnose because many can present very similar
symptoms. Diagnosis often requires a combination of lab work and a patient's history. On Table 2,
you will see several different endocrine disorders with common physical symptoms and lab results.
Use this information to answer the questions below.
Table 2: Endocrine Disorders
DISORDERS
Acromegaly
Addison's Disease
Cushing;s Syndrome
Diabetes Insipidus
Hyperparathyroidism
Hyperthyroidism
SYMPTOMS
Enlarged hands and feet, excessive
sweating, fatigue, muscle weakness,
pain, limited joint mobility
Fatigue, increased pigment in the
skin, weight loss, muscle weakness
Backache, anxiety, muscle weakness,
extra fat deposits on the back of the
neck and upper back (aka "buffalo
hump"), females may experience
irregular menstrual cycle
Frequent urination, excessive thirst
Excessive thirst, weak or broken
bones, fatigue, nausea
Elevated body temp, extreme
sweating, nervousness, rapid heart
LAB TEST RESULTS
Elevated levels of insulin,
growth factor I
Low sodium, high potassium,
high ACT H, low cortisol in the
blood
High levels of cortisol in the
blood
Normal blood glucose level, no
glucose in the urine, low ADH
level in the blood
High calcium and parathyroid
hormone levels in the blood
High thyroxine and low TSH in
the blood
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Hypothyroidism
Polycystic Ovarian
Syndrome (PCOS)
Type I Diabetes Mellitus
Type II Diabetes Mellitus
Questions:
rate, weight loss, irregular menstrual
cycle in females
Fatigue, muscle weakness,
depression, weight gain, low body
temperature, intolerant of cold
Acne, unwanted hair growth, weight
gain, fatigue, infertility, mood
changes, sleep problems
Frequent urination, excessive thirst,
weight loss
Frequent urination, excessive thirst
Low thyroxine and high TSH in
the blood
Elevated levels of testosterone
and LH, low levels of FSH in
blood
Glucose in urine, elevated
blood glucose, islet cell
antibody in the blood
Glucose in urine, elevated
blood glucose, no islet cell
antibody in the blood
1.
2.
3.
What is the most frequent physical symptom of the disorders described above?
Fatigue, frequent urination and muscle weakness are the most common symptoms.
Why are blood tests used to diagnose endocrine disorders?
It shows the endocrine hormones, which can help the doctors determine a diagnosis if there
is one.
Why is it so important to consider age and sex when diagnosing an endocrine disorder?
A certain age can determine how much more likely it is to be diagnosed and sex determines
which certain hormones could be involved more often.
Case Study 1:
A 37-year-old woman goes to her doctor and complains of anxiety, muscle weakness, and
depression. Which of the disorders listed on the table above could explain her symptoms? What
other symptoms might you look for or what other tests might you run to distinguish between these
disorders?
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Most likely "Cushing's Syndrome" and "Hypothyroidism". Both disorders have symptoms of muscle
weakness but Cushing's Syndrome includes anxiety and Hypothyroidism includes depression.
Further study would be done if she either has an irregular menstrual cycle or low body temperature
to distinguish the disorders.
Case Study 2:
A 34-year-old man complains he is tired a lot and he has lost a substantial amount of weight over
the past few months. A routine blood test shows low sodium levels, but his blood glucose levels are
normal. What test would you order next? Why? What results could help you make a diagnosis?
The test order should be "Addison's Disease" due to fatigue and muscle weakness, and check for
any change in pigment in the skin that increased. The results would come back with low sodium,
high potassium, high ACT H, low cortisol in the blood.
Case Study 3:
Your patient is a 28-year-old woman who has complained of menstrual irregularities and infertility
despite actively trying to get pregnant for 14 months. She also mentioned that she has to wax her
face a lot due to hair growth. How would you diagnose this patient? Which lab result may explain the
hair growth? What does this patient have to be careful of developing in the future?
I would diagnose this person with PCOS because of the elevated levels of testosterone would
explain the hair growth. This patient has to be careful of gaining weight and controlling levels of
glucose in the future.
Case Study 4:
A seemingly healthy 42-year-old-man comes into the ED with a broken arm. The doctor set the bone

1. The building code in British Columbia states that each stair in a staircase in a residential home
is allowed a maximum rise of 20 cm and a minimum run of 25 cm. A contractor needs
to build a set of stairs from the basement to the first floor. Calculate what the minimum horizontal
distance required if the height from the basement to first floor is 3 m. (Hint: be careful of units)
Answer to the nearest cm.
2. The safe ratio for a ladder is 4:1 (4 feet high for every 1 foot from the base of the wall).
How far from the base of the wall would the ladder be if it reaches up to the roof, which
is 26 feet in height? Answer rounded to one decimal place.

5. Determine the velocity of the points B and C when θ2 = 150°.
6. Derive acceleration loop closure equations.
7. Determine the unknown acceleration variables analytically or use MATLAB's built-in functions.
8. Repeat the procedure for a full rotation of crank (link 2) in 5° increments. You can use the same loop in your code that you used in the velocity analysis section. Therefore, you can use the results of the position and velocity analysis without any difficulty.
9. Plot the graphs of centre of mass of each rotating link as (aGj) x vs (aGj) y .
10. Determine the acceleration of the points B and C when θ2 = 150°.

Mahalaga ang pananaliksik sa ating pang araw - araw na buhay sapagkat ito ang
paraan upang malutas natin ang ang lahat ng ating mga suliranin. Sa ganitong paraan
din natin malalaman kung ang mga bagay, tao, o pangyayari ay magkaugnay o
mahalaga sa isa't isa. Kadalasan, ginagamit natin ang sistemang ito upang malaman
ang mga bagay na hindi pa naabot ng ating kamalayan. Kadalasan, mas nagiging
matalino ang isang tao kapag Siya ay masipag sa pagsasaliksik at pag - aaral ng mga
bagay -
bagay. Maraming tao ang naging tanyag din gamit ang kasanayan sa
pananaliksik. Sila ang mga taong nakatuklas o nakagawa ng mga bagay na may
kinalaman sa teknolohiya at sa pagpapa gaan sa sistema ng paggawa. Bukod sa mga
makinarya, gadyet, o bagong kagamitan, ang mga kaalamang tulad ng konsepto,
kasanayan, at pormula ay matagumpay na bunga ng pananaliksik. Sa madaling salita,
kung nais nating malaman kung ang mga bagay ay magkaugnay o magkakauri
kinakailangan natin ang magsaliksik o gumawa ng pananaliksik. Ang ating mga interes,
hinala, at kuryosidad ay natutugunan sa pamamagitan ng pananaliksik. Dahil ang tao ay
likas na mapaghanap, nakatutulong ang pananaliksik upang matugunan ang
pangangailangan ng tao sa impormasyon at matalinong paggamit ng mga
impormasyong ito.
Sa pamamagitan ng nito, lumalawak at lumalalim ang karanasan ng tao, hindi lang
tungkol sa partikular na paksang pinag-aaralan niya,kundi sa lipunang nagsisilbing
konteksto ng kaniyang pananaliksik.
• pagkakaroon Siya ng pagkakataong makasalamuha ang kapuwa at nakikita niya ang
bisa ng pananaliksik upang mapabuti.
• ang pananaliksik ay lalong mailalatag ang halaga ng pananaliksik kung isasaalang-
alang ang pangangailangan ng lipunang kinalulugaran nito.
Ang Pananaliksik ay nangangailangan ng malalim na pagsusuri ng ga ebidensiya at
aktuwa na mga datos. Ito'y nailalarawan, naihahambing at natutuos upang Makita ang
relasyon ng hipotesis sa panukalang tesis o larawan, naiihambing at natutuos upang
Makita ang relasyon ng hipotesis sa panukalang tesis o disertasyon na isang trabahong
siyentipiko. Kung kaya ito ang uri ng pananaliksik na tumutukoy sa sistematikong
kalipunan ng mga metodo o pamamaraan at proseso ng imbestigasyon na ginagamit sa
pangangalap ng datos sa isang pananaliksik.
Panghuli, naging mahalaga ito dahil sa pamamagitan nito makakakuha tayo ng mga
bagong impormasyon tungkol sa mga bagay na ating pinag-aralan.

A 120V dc motor has 100A rated current. The allowable voltage drop is 3% of the input voltage. Find the maximum distance from the supply if the wire has diameter of 350 mils and the resistivity of the wire is 10.4 ohm – CM /ft

Design a 16-bit memory of total capacity 8192 bits using SRAM chips
of size 64x1 bit. Give the array configuration of the chips on the memory board showing all required input and output signals

Overall there were fewer saccades than words for each line. This
could have been caused by the ability to group easier words
together that require less effort.
b.) Is the average time interval between saccades different
when reading an easy passage vs. a challenging passage?
Explain
Yes, the average time interval between saccades was larger for
the challenging passage because complex words require more
time to process.
c.) Is the average time interval between saccades different
when reading the same passage silently vs. aloud?
Yes, the average time interval is larger for reading aloud as it
takes more time to read, process, and pronounce the word than
just passive reading.
d.) Are the waveform shapes different between Read Silently
2 and Read Aloud data? Explain
Yes, the read aloud data had longer periods between each wave
and generally more saccades in each wave.
K. Name the cranial nerves tested and the extraocular muscles
tested when the subject is asked to follow the eraser on a pencil
as you move it in a one foot circle, two feet from their face.
Cranial Nerves
Oculomotor nerve
Trochlear nerve
Abducens
Extraocular Muscles
Inferior Rectus
Superior Rectus
Lateral Rectus
Medial Rectus
Superior Oblique
Inferior Oblique
L. Define corneal-retinal potential (CRP) and explain its relation
to electrooculography and the electrooculogram.
The electrical potential that exists between the front and back of
the eye, EOG measures the difference in potential introduced
when the muscles in the contract or relax.
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The cycles consistently decreased during vertical tracking. They
should have remained constant as the object was being moved
the same distance for the trial.
d.) Do the cycle periods increase, decrease, or remain
constant during simulated vertical tracking? Explain
The cycles increased and decreased with no significant pattern.
The subject had no object to focus on, relying on prediction
introduced errors.
e.) Are the waveform shapes different between vertical
tracking and simulated vertical tracking data? Explain
Vertical tracking had well rounded peas and periodic waveforms,
simulated vertical tracking had waveforms with rough and jerky
peaks and varying periods.
J. Examine the data in Table 10.3 and answer the following
questions:
a.) Did the number of saccades match the number of words
for each line? Explain any differences.
Overall there were fewer saccades than words for each line. This
could have been caused by the ability to group easier words
together that require less effort.
b.) Is the average time interval between saccades different
when reading an easy passage vs. a challenging passage?
Explain
Yes, the average time interval between saccades was larger for
the challenging passage because complex words require more
time to process.
c.) Is the average time interval between saccades different
when reading the same passage silently vs. aloud?
Yes, the average time interval is larger for reading aloud as it
takes more time to read, process, and pronounce the word than
just passive reading.
d.) Are the waveform shapes different between Read Silently
2 and Read Aloud data? Explain
Yes, the read aloud data had longer periods between each wave
and generally more saccades in each wave.
K. Name the cranial nerves tested and the extraocular muscles
tested when the subject is asked to follow the eraser on a pencil
as you move it in a one foot circle, two feet from their face.
Cranial Nerves
Oculomotor nerve
Trochlear nerve
Abducens
Extraocular Muscles
p,rin"
Superior Rectus
Lateral Rectus
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It remained fairly constant, because of the periodic motion of a
pendulum, which is caused by the constant acceleration of
gravity.
d.) Did the time interval (period) of each successive swing
cycle increase, decrease, or remain constant during
simulated movement? Explain
It varied unpredictably, increasing and decreasing at various
cycles. This could be caused by the attempt of the subject to
replicate a pendulum without stimulus.
e.) Are the waveform shapes different between tracking and
simulated tracking data? Explain
Yes, the tracking waveforms were smooth and periodical, while
the simulated tracking waveforms were rough and unpredictable.
I. Examine the data in Table 10.2 and answer the following
questions:
a.) Do the cycle amplitudes increase, decrease, or remain
constant during vertical tracking? Explain
The amplitude had erratic changes, I would have expected it to
remain constant since the object was moved the same distance
every time but our results seemed to have been affected by some
external factor.
b.) Do the cycle amplitudes increase, decrease, or remain
constant during simulated vertical tracking? Explain
The amplitude for the simulation had an unpredictable pattern
from cycle to cycle. This could be explained by the fact that the
subject's eyes didn't have an object to focus on.
c.) Do the cycle periods increase, decrease, or remain
constant during vertical tracking? Explain
The cycles consistently decreased during vertical tracking. They
should have remained constant as the object was being moved
the same distance for the trial.
d.) Do the cycle periods increase, decrease, or remain
constant during simulated vertical tracking? Explain
The cycles increased and decreased with no significant pattern.
The subject had no object to focus on, relying on prediction
introduced errors.
e.) Are the waveform shapes different between vertical
tracking and simulated vertical tracking data? Explain
Vertical tracking had well rounded peas and periodic waveforms,
simulated vertical tracking had waveforms with rough and jerky
peaks and varying periods.
J. Examine the data in Table 10.3 and answer the following
questions:
a.) Did the number of saccades match the number of words
lam.any.diff
Overall there were fewer saccades than words for each line. This

The mean height of the five starting players on a high school basketball team was 184 cm. If the two
guards were 150 cm and 166 cm tall and the two forwards were 182 cm and 192 cm tall, how tall was
the starting center?

Hicks Cable Company has a defined benefit pension plan.
Three alternative possibilities for pension-related data at
January l, 2021, are shown below: Net loss (gain)-AOCI, Jan. I
2021 loss (gain) on plan assets 2021 loss (gain) on P BO
Accumulated benefit obligation, Jan. I Projected benefit
obligation, Jan. I Fair value of plan assets, Jan. I Average
remaining service period ($ in thousands) Case I Case 2 Case 3
$ 338 $ (405) $ 276 (29) (26) (41) 34 (283) (3,130) (2,730)
(1,630) (3,490) (2,850) (1,880) 2,980 2,880 1,730 138 Required.
l. For each independent case, calculate any amortization of the
net loss or gain that should be included as a component of
pension expense for 2021. 2. For each independent case,
determine the net loss-AOCI or net gain-AOCI as of January l,
2022. Complete this question by entering your answers in the
tabs below. Required I Required 2 For each independent case,
calculate any amortization of the net loss or gain that should be
included as a component of pension expense for 2021. (Input all
amounts as positive values.) ($ in thousands) Case I Case 2 $
338 $ 405 Case 3 $ 276 Net gain or loss Less: Corridor amount
Excess, if any Service period (years) Amortization of gain or
loss $ 338 $ 405 $ 276 0 0 0 Required 1 Required 2 >
Hicks Cable Company has a defined benefit pension plan. Three
alternative possibilities for pension-related data at January I
2021, are shown below: Net loss (gain)-AOCI, Jan. 1 2021 loss
(gain) on plan assets 2021 loss (gain) on PBO Accumulated
benefit obligation, Jan. I Projected benefit obligation, Jan. I
Fair value of plan assets, Jan. I Average remaining service
period of active employees (years) ($ in thousands) Case I Case
2 case 3 $ 338 $ (405) $ 276 (29) (26) (41) 34 (283) (3,130)
(2,730) (1,630) (3,490) (2,850) (1,880) 2,980 2,880 1,730 11 13
8 Required: l. For each independent case, calculate any
amortization of the net loss or gain that should be included as a
component of pension expense for 2021. 2. For each
independent case, determine the net loss-AOCI or net gain-
AOCI as of January l, 2022. Complete this question by entering
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your answers in the tabs below. Required I Required 2 For each
independent case, determine the net loss-AOCI or net gain-
AOCI as of January l, 2022. (Amounts to be deducted and loss
amounts should be indicated by a minus sign.) Case I $ 338 ($
in thousands) Case 2 $ (405) Case 3 $ 276 January l, 2021 net
loss (gain) Loss (gain) on plan assets Amortization Loss (gain)
on PBO January 1, 2022 net loss or (gain) - AOCI $ 338 $ (405)
$ 276 (Required I Required 2 >
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If it is said that “interdependence is the foundation of society”, how do advances in technology both help globalization and cause issues? Is globalization helpful or harmful to society? Defend your answer.

Aiko Ponce
7/12/20
Chemistry Lab 8
Table 8.1-- change in temperature in baking soda and vinegar reaction:-3C
1. The enthalpy of reaction is -315 J.
2. The value is negative so, it means that heat is releasing and it is an exothermic reaction.
3. The accuracy could be improved with a better calorimeter, better thermometer, and a
larger sample.
Table 8.2-- 5min: +2C, 10min: +3C, 20min: +3C
4. The temperature went up about 2-3 degrees celsius every 5 minutes.
5. It is a positive change so it is endothermic.

The Rotor is an amusement park ride shown. For this ride, a person enters the Rotor when it is stationary and stands against the wall with their back to the wall. The rotor then begins to rotate about a vertical axis. After reaching cruising speed, the floor drops away and the patron is left suspended against the wall. Assume that the rate of rotation increases according to the expression (alpha) ± = k(theta) until the floor drops (alpha is angular acceleration in rad/s2, theta is angular position in radians). After this point, the Rotor spins at a constant speed until the floor rises again. Determine an expression for the number of revolutions the Rotor should turn before it is safe to drop the floor. The coefficient of friction between the rider and the wall is (mu)s.