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What is the security measure in Brazilian criminal law and how does it differ from the penalty?
The security measure is a sanction applicable to people who commit crimes and are considered dangerous to society due to mental disorders or personality disorders, and aims to protect society and rehabilitate the offender. It differs from punishment in that it is not retributive or punitive in nature, but rather therapeutic and preventive.
How can you avoid problems with tax records related to ISR withholding for payments to individuals in Mexico?
To avoid tax history issues related to ISR withholding for payments to individuals in Mexico, payers must comply with withholding regulations and remit withheld taxes to the SAT in a timely manner. Failure to withhold or remit may result in penalties and tax problems.
What is the process to request the declaration of family assets in Venezuela?
To request the declaration of family property in Venezuela, you must submit an application to a court and provide evidence that justifies the need to protect a property as family property. The court will evaluate the request and, if approved, the declaration will be registered in the corresponding Public Registry.
What are the laws related to the crime of workplace violence in Argentina?
Workplace violence in Argentina is penalized by laws that seek to prevent and punish harassment, mistreatment or any form of violence in the workplace. Workers' rights are protected and a safe work environment is promoted.
What specific information is sought in an employment background check in Guatemala?
An employment background check in Guatemala seeks information such as employment history, employment references, past performance, reasons for separation from previous employment, and any information relevant to the candidate's suitability.
What is the importance of ethics in artificial intelligence applied to the selection process in Ecuador?
Ethics in artificial intelligence applied to the selection process is crucial. We seek to select candidates who understand the importance of avoiding bias, ensuring fairness, and ensuring that data-driven decisions are ethical and fair.
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