Answer:
B. False
Explanation:
Sarbanes-Oxley Act or SOX also known as the Public Company Accounting Reform and Investor Protection Act and Corporate and Auditing Accountability, Responsibility, and Transparency Act is a United State federal law that creates or modify requirements for U.S public company board, management and public accounting firm. some of its policies are meant for private companies as well.
This act does not restrict any electronic and paper data containing personally identifiable financial information.
Answer:hola no conozco el toldo, pero necesito puntos cerebrales tan lo siento
Explanation:
There two problems related to this problem:
First is the coefficient of static friction between the map
and the crate.
And the second one is at what angle does the crate begin to
slide if the mass is doubled.
1.
To look for the coefficient of static friction:
ΣF = 0
μ x m x g x cos θ = m * g * sin θ
μ = sin θ/ cos θ = tan θ
μ = tan 24 = 0.45
2.
At what angle… the solution is:
The static friction or μ does not depend
on mass, so the angle is still 24.
Answer: D. enter each major point from the outline on a separate line
Answer:
My two arguments against the proposal are based on physical side effects and background noise interference.
Explanation:
To start with physical side effects, the use of speech recognition technology might make users experience physical discomfort. This is due to the fact that users who interact with the system by speaking for a long period would experience dry mouth, temporary loss of voice, vocal problems and muscle fatigue. In addition, the fact that users would always speak in an unnatural way to make the system interpret commands effectively could lead to voice strain.
Also, users need to be in a quiet environment before they can get the best out of speech recognition technology. This is because background noise can interfere with commands and create a mix-up which the system cannot interpret. In other words, when an environment is noisy, speech recognition technology would find it difficult to differentiate between users voice and background noise.
