Answer: Technology has placed at the disposal of the healthcare community various potent tools to improve patient care. Since EHRs are easily available to physicians, they can access complete medical histories of patients and make the most well-considered medical decisions.
Explanation:
"Key logger" This could be software or hardware that does this.
Answer: Console-Based
Explanation:
A console based application is an application that helps in facilitating the reading and the writing of the characters from a console.
It is vital in the provision of a simple user interface for the applications that requires little interaction. Since the application accepts input and displays a response to the user and cannot create a graphical interface for this application, then it's a console based application.
Answer:
Redundant paths can be available without causing logical Layer 2 loops.
Explanation:
- Spanning Tree Protocol is used to allow redundancy in the Layer 2 switched networks without creating cycles/circles also called loops.
- These loops are called physical loops.
- When two parts of the switched network are connected via two or more Layer 2 switches this result in a loop.
- This affects the performance of the network as the result of broadcast packets flooding.
- STP puts one port of the switch to forward mode and the rest of the ports within the same part of the network to the blocking mode to avoid broadcast packet flooding. STP puts all the ports that are allowing redundant paths to block mode and the one port that is left after this is placed in forward mode.
- Spanning Tree Algorithm is used by STP to determine the optimal path of switch to the network.
- Bridge Protocol Data Units are used to share the information about the optimal path determined by the spanning tree algorithm with other switches.
- This information helps STP to eliminate the redundant paths.
- So this is how STP tracks all the links in the switched network and eliminates redundant loops by allowing only one active path to the destination while blocking all other paths.
Answer:
import numpy as np
def sample_median(n, P):
return np.median( np.random.choice ( np.arange (1, len(P) + 1 ), n, p = P ) )
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(5, [0.3,0.7])
print(sample_median(5, [0.3,0.7])
Explanation:
- Bring in the numpy library to use the median function provided by the numpy library.
- Define the sample_median function that takes in 2 parameters and returns the median with the help of built-in random, choice and arrange functions.
- Call the sample_median function by providing some values to test and then display the results.
Output:
4.5
4.0
2.0
1.0
