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Ipatiy [6.2K]
3 years ago
7

______________ help protect the lower legs and feet from heat hazards like molten metal and welding sparks. A) Safety shoesB) Le

ggingsC) Metatarsal guardsD) Toe guards
Engineering
1 answer:
vodka [1.7K]3 years ago
6 0

Answer:

It's leggings. They help protect the lower legs and feet from heat hazards like molten metal and welding sparks.

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List all the qualities of an engineer?
Dennis_Churaev [7]

Answer:

Math and Computer Skills. A qualified engineer should be good at math, at least through the level of calculus and trigonometry, and understand the importance of following the data when making design decisions.

Organization and Attention to Detail.  

Curiosity.  

Creativity.  

Critical Thinking.

Intuition.

Explanation:

6 0
2 years ago
36. What is mass? (4.4)
KatRina [158]

Answer:

Mass, in physics, quantitative measure of inertia, a fundamental property of all matter.

Explanation:

Mass is the matter that makes up objects

3 0
3 years ago
In addition to bandages and gauze, it's recommended that a first aid kit also contain
e-lub [12.9K]
Disinfectant supplies, such as wipes of gel.
7 0
3 years ago
Write a naive implementation (i.e. non-vectorized) of matrix multiplication, and then write an efficient implementation that uti
erik [133]

Answer:

import numpy as np  

import time  

def matrixMul(m1,m2):      

   if m1.shape[1] == m2.shape[0]:  

       

       t1 = time.time()

       r1 = np.zeros((m1.shape[0],m2.shape[1]))

       for i in range(m1.shape[0]):

           for j in range(m2.shape[1]):

               r1[i,j] = (m1[i]*m2.transpose()[j]).sum()

       t2 = time.time()

       print("Native implementation: ",r1)

       print("Time: ",t2-t1)

       

       t1 = time.time()

       r2 = m1.dot(m2)

       t2 = time.time()

       print("\nEfficient implementation: ",r2)

       print("Time: ",t2-t1)

       

   else:

       print("Wrong dimensions!")

Explanation:

We define a function (matrixMul) that receive two arrays representing the two matrices to be multiplied, then we verify is the dimensions are appropriated for matrix multiplication if so we proceed with the native implementation consisting of two for-loops and prints the result of the operation and the execution time, then we proceed with the efficient implementation using .dot method then we return the result with the operation time. As you can see from the image the execution time is appreciable just for large matrices, in such a case the execution time of the efficient implementation can be 1000 times faster than the native implementation.

7 0
3 years ago
Race car is accelerating and has a velocity of 10 m/s @ t=0. It completes a lap on a circular track of 400 m in 14 seconds. Calc
wariber [46]

Answer:

component of acceleration are a = 3.37 m/s² and ar = 22.74 m/s²

magnitude of acceleration is  22.98 m/s²

Explanation:

given data

velocity = 10 m/s

initial time to = 0

distance s = 400 m

time t = 14 s

to find out

components and magnitude of acceleration after the car has travelled 200 m

solution

first we find the radius of circular track that is

we know  distance S = 2πR

400 = 2πR

R = 63.66 m

and tangential acceleration is

S = ut + 0.5 ×at²

here u is initial speed and t is time and S is distance

400 = 10 × 14  + 0.5 ×a (14)²

a = 3.37 m/s²

and here tangential acceleration is constant

so  velocity at distance 200 m

v² - u² = 2 a S

v² = 10² + 2 ( 3.37) 200

v = 38.05 m/s

so radial acceleration at distance 200 m

ar = \frac{v^2}{R}

ar = \frac{38.05^2}{63.66}

ar = 22.74 m/s²

so magnitude of total acceleration is

A = \sqrt{a^2 + ar^2}

A = \sqrt{3.37^2 + 22.74^2}

A = 22.98 m/s²

so magnitude of acceleration is  22.98 m/s²

8 0
3 years ago
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