2. Discuss the reengineering process in your own words and provide an example.

Using APA reference style, the references is attached below from Feldman, R. S. (2013) to American Psychology Association (2020)

APA reference style is a style of citing sources used by the American Psychological Association. It is primarily used in the social sciences and includes guidelines for citing sources both within the text of a document and in the reference list at the end of the document. The guidelines provide a consistent way of citing sources to make it easier for readers to identify and locate the sources cited in a document.

In the given problem, if we need to write the reference using APA style, it will take this format below

Reference Page:

Feldman, R. S. (2013). Psychology and your life (2nd ed.). New York, NY: McGraw Hill Companies.

Frontline. (n.d.). League of denial. Retrieved from https://www.pbs.org/wgbh/frontline/film/league-of-denial/

Friends. (2004). The one after Joey and Rachel kiss [Television series episode]. In D. Crane, & M. Kauffman (Executive producers), Friends. Burbank, CA: Warner Bros. Television.

Silver Linings Playbook. (2012). [Motion Picture]. United States: The Weinstein Company.

U.S. Energy Information Administration. (2013). Annual energy outlook 2013 with projections to 2040. Retrieved from http://www.eia.gov/forecasts/aeo/er/pdf/0383er(2013).pdf

Snickers. (2013, April 2). You’re not you when you’re hungry [Video file]. Retrieved from https://youtu.be/2rF_FRCd_LA

American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). doi:10.1037/0000165-000

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Answer:

\(-6111.11\ \text{kJ}\)

\(863.28\ \text{kJ}\)

Explanation:

m = Mass of automobile = 1100 kg

v = Velocity of car = 120 km/h = \(\dfrac{120}{3.6}\ \text{m/s}\)

h = Height of hill = 80 m

g = Acceleration due to gravity = \(9.81\ \text{m/s}^2\)

Change in kinetic energy

\(KE=\dfrac{1}{2}m(u^2-v^2)\\\Rightarrow KE=\dfrac{1}{2}\times 1100\times (0-(\dfrac{120}{3.6})^2)\\\Rightarrow KE=-611111.11\ \text{J}\)

Change in kinetic energy is \(-6111.11\ \text{kJ}\)

Change in potential energy is given by

\(PE=mgh\\\Rightarrow PE=1100\times 9.81\times 80\\\Rightarrow PE=863280\ \text{J}\)

The change in potential energy is \(863.28\ \text{kJ}\).

Answer:a

Ieieksdjd snsnsnsnsksks

Assessing the promises made about new cities built from scratch requires a critical evaluation of their potential benefits and challenges. While such cities may offer solutions to existing urban problems, there are several factors of concern that need to be considered:

1. Implementation Challenges: Building a city from scratch is a complex and challenging task. It involves extensive planning, coordination, and financial investment. Delays and cost overruns can be common, impacting the realization of promised benefits.

2. Sustainability and Environmental Impact: New cities often promote sustainability and eco-friendly practices. However, there is a need to ensure that these cities truly deliver on their environmental promises throughout their lifespan. Issues such as resource consumption, waste management, and carbon emissions must be carefully addressed.

3. Social and Economic Equity: Scratch cities may claim to address social inequalities and provide affordable housing. However, ensuring equitable access to housing, education, healthcare, and employment opportunities for diverse socio-economic groups is crucial. Care must be taken to avoid creating new forms of exclusion and segregation.

4. Community Engagement and Identity: Creating a sense of community and fostering a unique city identity takes time and effort. It is essential to involve residents and stakeholders in the planning process to ensure their needs, preferences, and cultural aspects are considered.

5. Long-Term Viability: The long-term sustainability and success of new cities depend on various factors, including economic diversification, job creation, attracting investments, and adapting to changing demographics and technological advancements. Ongoing governance and management strategies are essential for their continued growth and development.

6. Infrastructure and Connectivity: Adequate infrastructure, transportation networks, and connectivity are vital for the smooth functioning and accessibility of new cities. Planning for efficient transportation systems, public spaces, and connectivity with existing urban areas is critical to avoid isolation and promote integration.

7. Economic Development and Job Opportunities: Scratch cities often promise economic growth and employment opportunities. However, the transition from initial development to a self-sustaining economy can be challenging. Ensuring a diversified and resilient economy with sustainable job opportunities is crucial for the long-term prosperity of the city.

8. Cultural and Social Vibrancy: Creating vibrant cultural and social spaces is important for the quality of life in new cities. Encouraging artistic expression, cultural events, and social interactions can contribute to the overall livability and attractiveness of the city.

In assessing promises made about scratch cities, it is important to critically analyze these factors and ensure that realistic expectations, proper planning, community engagement, and ongoing monitoring and evaluation are integral parts of the development process. This can help address concerns and increase the likelihood of achieving the envisioned benefits for residents and the wider community.

Assessing the promises made about new cities from scratch requires a critical evaluation of their potential benefits and potential concerns. While these cities hold the promise of addressing existing urban challenges, there are several aspects to consider:

Promises:

Urban Planning: New cities from scratch provide an opportunity for deliberate urban planning, allowing for the creation of well-designed and efficient infrastructure, transportation systems, and public spaces. This can lead to improved quality of life and a more sustainable environment.

Innovation and Technology: Many new cities aim to leverage advanced technologies and smart solutions to create efficient, connected, and sustainable urban environments. This includes the integration of renewable energy, smart grids, intelligent transportation systems, and data-driven management.

Social Equity: Scratch cities often promise to address social issues such as poverty and inequality. They may offer affordable housing, access to quality education and healthcare, and inclusive community spaces, aiming to create more equitable societies.

Economic Opportunities: New cities can attract investments, industries, and businesses, potentially creating new job opportunities and economic growth. They may offer a favorable environment for innovation, entrepreneurship, and the development of new industries.

Concerns:

Realization Challenges: Implementing a new city from scratch involves complex and long-term processes. Delays, budget overruns, and changing political priorities can hinder the realization of promised benefits, leaving residents and stakeholders disappointed.

Social Displacement: The creation of new cities may involve displacing existing communities or disrupting established social networks. This raises concerns about the potential marginalization of vulnerable populations and the loss of cultural heritage.

Sustainability and Environmental Impact: While new cities often aim to be sustainable, the actual environmental impact depends on factors such as resource consumption, waste management, and carbon emissions. The ecological footprint of construction, transportation, and ongoing operations must be carefully considered.

Affordability and Accessibility: Ensuring affordable housing, inclusive amenities, and accessible public services in new cities is crucial for addressing social equity. High costs, exclusionary practices, or limited accessibility can lead to socioeconomic disparities and exclusion.

Long-Term Viability: The long-term viability of new cities depends on various factors such as economic diversification, governance structures, citizen engagement, and adaptability to changing social, economic, and environmental conditions. Failure to anticipate and address these challenges can impact the sustainability and success of the new city.

Assessing the promises made about scratch cities requires a comprehensive evaluation of these factors, considering the specific context, governance frameworks, stakeholder engagement, and long-term planning. It is essential to carefully balance the potential benefits with the concerns to ensure the development of successful and inclusive new cities.

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Answer:

Air is a gas

Explanation:

i think. beavuse it cant be a liqued or a solid. i dont think a plasma. i would answer gas

To prove that a full binary tree of N nodes has (N − 1)/2 internal nodes using structural induction, we will first define our base case and inductive hypothesis.
Base Case: A full binary tree with 1 node has 0 internal nodes. This is because there are no nodes other than the root node, which is a leaf.
Inductive Hypothesis: Assume that for any full binary tree with k nodes, the number of internal nodes is (k − 1)/2.
Inductive Step: Now, let's assume that we have a full binary tree with N nodes. We know that a full binary tree has exactly two children for each internal node, and every leaf node is at the same level. Therefore, we can divide the tree into two full binary trees with N/2 nodes each.

Using inductive hypothesis, we can say that each of these sub-trees has (N/2 − 1)/2 internal nodes. However, we also know that the root node of the original tree is an internal node, and so we must add 1 to our count. Thus, the total number of internal nodes in the full binary tree with N nodes is:
(N/2 − 1)/2 + (N/2 − 1)/2 + 1
= N/2 − 1 + 1
= N/2
Now, we can simplify this expression to (N − 1)/2. Therefore, our inductive step is complete, and we have shown that a full binary tree of N nodes has (N − 1)/2 internal nodes.
Conclusion: Using structural induction, we have proven that a full binary tree of N nodes has (N − 1)/2 internal nodes.

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Answer:

required flow rate is 75.44 gal/min  

Explanation:

Given the data in the question;

Power developed = 250 psi = 1.724 × 10⁶ Pa

hydraulic power W = 11 hp = 11 × 746 = 8206 Watt

now, Applying the formula for pump power

W = pgQμ

where p is density of fluid, Q is flow rate, μ is heat and W is power developed;

W = pgQμ

W = pgμ × Q  

W = P × Q -------- let this be equ 1

so we substitute in our values;

8.2027 kW = 1.724 × 10⁶ Pa × Q

Q = 8206 / 1.724 × 10⁶

Q = 4.75986 × 10⁻³ m³/sec

We know that, 1 cubic meter per seconds = 15850.3 US liquid gallon per minute, so

Q = 4.75986 × 10⁻³  × 15850.3 gallon/min

Q = 75.44 gal/min    

Therefore, required flow rate is 75.44 gal/min    

Answer:

D = 1311.94 lb/ft

Explanation:

We are given the velocity as;

V = 55 mph.

First of all, let's convert it to ft/s

V = 55 × (5280/3600) ft/s

V = 80.67 ft/s

The equation for the aerodynamic drag force on the car is given as;

D = C_d•½ρ•V²•A

Where;

C_d is drag coefficient = 0.21

ρ is density of air

V is velocity = 80.67 ft/s

A is area 55 ft²

Now, from tables, the density of air under S.T.P condition is 1.225 kg/m³. Converting to lb/ft³ gives; 0.0624 lb/ft³

Plugging in the relevant values, we have;

D = 0.21•½•0.0624•80.67²•30

D = 1311.94 lb/ft

Answer:

TRUE

Explanation:

Yes. The model is protected by copyright law, even if you don't know who created it.

Answer: It is very important that the orifices and passages be kept clean and free of burrs to permit free gas flow and to form a well-shaped flame.

Explanation:

Answer:

Option A - fail/ not fail

Explanation:

For this given problem, if the yield strength is now 45 ksi, using Distortion Energy Theory the material will _fail______ and using the Maximum Shear Stress Theory the material will ___not fail_______

Answer:

The correct answer is "15456.8 N".

Explanation:

According to the question,

The inside volume will be:

= \(3.14\times (\frac{1.1}{2} )^2\times (2.44-0.82)\)

= \(3.14\times \frac{1.21}{4}\times 1.62\)

= \(3.14\times 03025\times 1.62\)

= \(1.538757 \ m^3\)

hence,

The buoyant force will be:

= \(V\times Pw\times g\)

= \(1.538757\times 1025\times 9.8\)

= \(15456.8 \ N\)

Answer:

Fix it

Explanation:

Use take or something to secure it and make sure no water comes out of the leak

Answer:

FLEX TAPE BOIZ

Explanation:

To improve the acoustics in auditorium, a sound reflector with mass of 200 kg is suspended by a chain from the ceiling thus thet force (magnitude and direction) does the chain exert on it =1960 N.

Ths  0.33 regulation states that for each movement (pressure) in nature there's an identical and contrary response. If item A exerts a pressure on item B, item B additionally exerts an identical and contrary pressure on item A. In different words, forces end result from interactions.

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The concentration ratio for the PTC is approximately 1.48, and the length of the parabolic surface is approximately 5.2 meters.

To determine the concentration ratio and length of the parabolic surface for a Parabolic Trough Collector (PTC) with the given parameters, we can use the following formulas:

Concentration Ratio (CR) = Rim Angle / Aperture Angle

Length of Parabolic Surface (L) = Aperture^{2} / (16 * Focal Length)

First, let's calculate the concentration ratio:

Given:

Rim Angle (θ) = 80º

Aperture Angle (α) = 5.2 m

Concentration Ratio (CR) = 80º / 5.2 m

Converting the rim angle from degrees to radians:

θ_rad = 80º * (π / 180º)

CR = θ_rad / α

Next, let's calculate the length of the parabolic surface:

Given:

Aperture (A) = 5.2 m

Receiver Diameter (D) = 50 mm = 0.05 m

Focal Length (F) = A^{2} / (16 * D)

L = A^{2} / (16 * F)

Now we can substitute the given values into the formulas:

CR =\((80º * (π / 180º)) / 5.2 m\)

L = \((5.2 m)^2 / (16 * (5.2 m)^2 / (16 * 0.05 m))\)

Simplifying the equations:

CR ≈ 1.48

L ≈ 5.2 m

Therefore, the concentration ratio for the PTC is approximately 1.48, and the length of the parabolic surface is approximately 5.2 meters.

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Moral creativity and innovation are based on original discoveries,  whereas immoral innovation is based on unscrupulous actions.

Innovation refers to the practices aimed at developing new products and services for the well-being of society.

Moral innovation is an expression generally used to describe technological advancements based on intellectual property rights.

In conclusion, moral creativity and innovation are based on original discoveries,  whereas immoral innovation is based on unscrupulous actions.

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```python def minMaxStr(input_str): min = 127 max = 0 for char in input_str: if char.isalpha():char_ascii = ord(char) if char_ascii < min: min = char_ascii if char_ascii > max:max = char_ascii real_ratio = min / max return real_ratio

To write a function follow these steps:

1. Define the function minMaxStr() with a string input parameter and two integer output parameters, min and max.

2. Initialize min to the maximum possible ASCII value and max to the minimum possible ASCII value.

3. Loop through each character in the input string.

4. If the character is an alphabetical character, check if its ASCII value is smaller than min, if so, update min with the ASCII value of the character.

5. If the character is an alphabetical character, check if its ASCII value is larger than max, if so, update max with the ASCII value of the character.

6. After the loop, calculate the real ratio of min to max by dividing min by max.

7. Return the real ratio as the result.

Here is the code for the minMaxStr() function:

```python def minMaxStr(input_str):

min = 127 max = 0 for char in input_str:

if char.isalpha():

char_ascii = ord(char) if char_ascii < min:

min = char_ascii if char_ascii > max:

max = char_ascii real_ratio = min / max return real_ratio

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ATDs can be a useful tool for researchers but it is important to bear these limitations in mind

Alternating Treatment Designs (ATDs) have a few limitations which must be taken into consideration when designing a study. Firstly, it is susceptible to multiple treatment interference, which is when the effects of multiple treatments interact with each other. This can invalidate results or lead to incorrect conclusions. Secondly, rapid back-and-forth switching of treatments does not reflect the typical manner in which interventions are applied and may be viewed as artificial and undesirable. Finally, it is limited to a maximum of four different treatment conditions, meaning that complex interventions are difficult to evaluate.

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Answer:

If you are driving below 40 mph, you should leave at least one second for every 10 feet of vehicle length.

Answer:

True

Explanation:

they put it through a process to be able to reuse it

Answer: So you are dealing with maximum and minimum weights and you want to know what MINIMUM number of supporting strands for this block and tackle system are needed I believe. If so you are dealing with economic imbalances Though we are not worrying about money Right? Right we need physics which Physics study matter and how it moves You would need 8 STRANDS

Explanation: Step By Step

Using the codes in computational language in JAVA it is possible to write a code that create a puppy class with private property weight and both a getter and a setter for that property called getweight and setweight.

class Puppy {

       constructor(n) {

           // private property

           var name = n

           // methods that use private property

           this.getName = () => {return name}

           this.setName = (n) => {name = n}

           // public property

           this.nickname = n

       }

       // methods that use public property

       setNickname(n) { this.nickname = n }

       getNickname() { return this.nickname }

   }

   p = new Puppy("fido")

   console.log("p.name",p.name) // undefined, not accessible

   console.log("p.getName()",p.getName()) // fido

   console.log("p.getNickname()",p.getNickname()) // fido

   console.log("---")

   p.name = "barker" // defines a new property on this instance of Puppy

   console.log("p.name",p.name) // barker

   console.log("p.getName() ",p.getName()) // doesn't change private name fido

   console.log("---")

   p.setName("fuzz") // change private name

   console.log("p.getName()",p.getName()) // fuzz

   console.log("p.getNickname()",p.getNickname()) // fido

   console.log("---")

   p.nickname = "chewy" // set public property directly

   console.log("p.getNickname()",p.getNickname()) // chewy

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The expression for the current in the form i(t) = im*cos(ωt+θ) is: i(t) = 28.28*cos(2π x 1000 t + 0.942) A

To write the expression for the given sinusoidal current i(t) in the form i(t) = im*cos(ωt+θ), we need to determine the amplitude im, the angular frequency ω, and the phase angle θ.

The given current has an rms value of 20A, which means that the amplitude of the current is:

im = √2 * Irms = √2 * 20A = 28.28A (approx.)

The period of the current is 1ms, which corresponds to a frequency of:

f = 1 / T = 1 / (1ms) = 1 kHz

The angular frequency is:

ω = 2πf = 2π * 1 kHz = 2π x 1000 rad/s

The current reaches a positive peak at t = 0.3ms, which corresponds to a phase angle of:

θ = ωt - π/2 = (2π x 1000 rad/s) x (0.3 x 10^-3 s) - π/2 ≈ 0.942 radians

Therefore, the expression for the current in the form i(t) = im*cos(ωt+θ) is:

i(t) = 28.28*cos(2π x 1000 t + 0.942) A

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The Standard Template Library (STL) provides separate stack and queue classes, despite the fact that the underlying container for their implementation is the deque class by default.

A stack and a queue are both container data types, with a stack following a Last In, First Out (LIFO) order and a queue following a First In, First Out (FIFO) order. STL allows the implementation of these data structures using different containers while keeping their respective functionality. This allows for better optimization of different kinds of functionality and easy modification of the program to adapt to changing needs.

The primary advantage of STL is its robust container framework, which includes a variety of containers and algorithms that make writing data structures and algorithms much more efficient.

Each of these containers is implemented using the deque class, which allows for constant time insertion and deletion at the beginning and end of the container. Using a separate class for each of these data types, however, allows the developer to fine-tune the data structure's performance characteristics and adapt to different situations quickly.

While the deque class is useful, it does not provide all of the performance advantages of other data structures for certain applications.

Thus, the STL provides a separate stack or queue class at all.

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To reverse the direction of rotation in a three-phase induction motor with a phase sequence of A-B-C, the phase sequence of the supply should be changed to C-B-A.

In a three-phase induction motor, the direction of rotation is determined by the phase sequence of the power supply.

The phase sequence refers to the order in which the three phases (A, B, and C) are supplied.

By default, if the phase sequence of the supply is A-B-C, the motor will rotate in a specific direction.

However, to reverse the direction of rotation, the phase sequence of the supply needs to be changed.

When the phase sequence is changed to C-B-A, the motor will experience a reversal in the rotating magnetic field produced by the stator windings.

This change in the magnetic field's rotation direction causes the rotor to rotate in the opposite direction, effectively reversing the motor's overall rotation.

By altering the phase sequence from A-B-C to C-B-A, the phase angles between the three phases are rearranged, leading to the reversal of the rotating magnetic field and subsequently changing the direction of rotation in the three-phase induction motor.

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An air start, which refers to the process of restarting a jet engine while the aircraft is still in flight, can be performed at various speeds and altitudes depending on the specific aircraft model and its capabilities. Generally, air starts are conducted within the aircraft's safe operating range, ensuring the safety of passengers and crew.

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Answer:

Definitely not

Explanation:

You should have 1-2 feet of extra ladder on a flat surface so 1 foot on an adjacent floor is a no no

Answer:

  Av = -800

Explanation:

The gain to the output of the first op-amp is ...

  A1 = -R2/R1 = -1000/10 = -100

The gain of the voltage divider R3/R4 is ...

  A2 = R4/(R3+R4) = 10/(10+10) = 1/2

The gain of the second op-amp circuit from the positive terminal to the output is ...

  A3 = 1+ R5/R6 = 1 + 150/10 = 16

Then the total circuit gain is ...

  Av = A1×A2×A3 = (-100)(1/2)(16)

  Av = -800

_____

Additional comment

In the above, we have assumed ideal op-amps, with infinite gain and infinite input impedance. The resistor values used in the calculations are all Kohms, so we can avoid writing unnecessary zeros.