Answer:
<h3>The notions of victim facilitation, precipitation, and provocation focuses on the victim's responsibility in prevailing a crime.</h3>
Explanation:
The notion of victim facilitation states that certain crimes occur because of victim's negligence. The victim is held equally responsible in the crime because of carelessness or by his/her mistakes.
The notion of precipitation applies to the acts that the victim contributes in making himself/herself a victim of a crime. For instance, when one tries to rob an armed person and in that process he/she gets shot, the notion of precipitation applies here.
The notion of provocation applies to those victims who gets victimized when they attack someone and the other person attacks them back severely in self-defense.
All three notions apply to the broader theme of shared responsibility. They are used in describing a victim's role in aiding a crime to occur. However, the notion of victim facilitation does not equally share the same concept of direct consequence as the other two notions. The notion of victim facilitation often justifies victim's role as accidental and unintentional. On the other hand, the two other notions both contributes directly as a consequence of their acts.
Answer:
Under Case Law, in each period a Court of Law can, in principle, either take a forward looking, tough, or a myopic, weak decision. Under Statute Law, all Courts are constrained to behave in the same way
Explanation:
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Answer:
Impeachment proceedings start with the House of Representatives "impeaching" the accused member. The senate then performs a trial.
Result
D. The President can be impeached by the House and removed by the Senate
Though, there are no available options. However, Data lifecycle management (DLM) can be defined as the tools and procedures for processing data.
This is a tool used during a research analysis and handling data after the conclusion of the analysis.
Data Lifecycle Management is known for establishing a record of information flow.
It is used from the time of getting the data and storing it for usage until the data is no longer needed or deleted.
Hence, in this case, it is concluded that Data Lifecycle Management is beneficial in the research study.
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