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The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
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Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
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The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
1. DATA STRUCTURE
A data structure is a particular way of organizing data in
a computer so that it can be used effectively.
2. STACK
Stack is a linear data structure which follows a particular order
in which the operations are performed.
It follows the LIFO principle which stands for Last In First Out.
Here, the element which is placed (inserted or added) last, is
accessed first.
It has only one pointer TOP that points the last or top most
element of Stack.
Insertion and Deletion in stack can only be done from top only.
4. OPERATIONS OF STACK
Push() − Pushing (storing) an element on the stack.
Pop() − Removing (accessing) an element from the stack.
We also need to check the status of the stack
to use it efficiently :
Overflow( ) – To check if stack is full.
Underflow( ) – To check if stack is empty.
5. ALGORITHM OF PUSH OPERATION
Step 1 − Start
Step 2 – Checks if the stack is full.
Step 3 − If the stack is full, displays “Overflow”.
Step 4 − If the stack is not full, increments TOP to point to
next empty space.
Step 5 − Adds data element to the stack location, where top is
pointing.
Step 6 − End
6. IMPLEMENTATION OF PUSH
10 10
30
10
30
20
10
30
20
15
10
30
20
15
40
0
1
2
3
4 4
3
2
1
0
4
3
2
1
0
4
3
2
1
0 0
1
2
33
4 4
2
1
0
top = -
1
top =
0
top =
1
top =
2
top =
3
top =
4
7. CODE FOR PUSH OPERATION
void push(int data)
{
if (top == arr.length - 1)
System.out.println("Stack is Full");
else
{
arr[++top] = data;
System.out.println("Pushed data :" + arr[top]);
}
}
8. ALGORITHM OF POP OPERATION
Step 1 − Start
Step 2 − Checks if the stack is empty.
Step 3 − If the stack is empty, displays “Underflow”.
Step 4 − If the stack is not empty, access the data element at
which TOP is pointing.
Step 5 − Decrease the value of top by 1.
Step 6 − End.
10. CODE FOR POP OPERATION
int pop()
{
if (top < 0)
{
System.out.println("Stack Underflow");
return 0;
}
else
{
System.out.println("Popped data : " + arr[top]);
return arr[top--];
}
}
11. APPLICATIONS OF STACK
Conversion of expressions.
Function calling and return procedure.
Recursion handling.
Decimal to Binary conversion.
12. TYPES OF ARITHMETIC EXPRESSIONS
Infix Expression : Operator is placed between the operands.
Example : A+B
Prefix Expression : Operator is placed before the operands.
Example : +AB
Postfix Expression : Operator is placed after the operands.
Example : AB+
13. CONVERSION FROM INFIX TO POSTFIX
1. A + (B * C) – (D / E)
= A + B C * - D E /
= A B C * + - D E /
= A B C * + D E / -
14. 2. (A / B + C) * (D / (E - F))
= (A B / + C ) * (D / E F –)
= (A B / C +) * D E F – /
= A B / C + D E F – / *
3. (M – N )/ (P* ( S – T) + K)
= (M N – ) / (P* (S T – ) + K)
= ( M N –) / ((P S T – *) + K)
= ( M N –) / (P S T – * K +)
= M N – P S T – * K + /
15. CONVERSION FROM INFIX TO PREFIX
1. A + (B * C) – (D / E)
= A + * B C - / D E
= + A * B C - / D E
= - + A * B C / D E
16. 2. (A / B + C) * (D / (E - F))
= (/ A B + C) * (D / - E F)
= (+ / A B C) * ( / D – E F)
= * + / A B C / D – E F
3. (M – N )/ (P* ( S – T) + K)
= ( - M N ) / (P * ( - S T ) + K)
= (- M N ) / ( (* P – S T) + K)
= (- M N ) / (+ * P – S T K)
= / - M N + * P – S T K