Suchergebnisse

Drugs, immigration, and border policy are intrinsically linked in the context of the United States-Mexico divide. However, there are often misunderstandings that border policy and immigration from Mexico are the root causes of a 'drug epidemic' in America. This paper dispels these misconceptions by exploring the diverse sources of illicit narcotics and examining the ideologies, government policies, and underlying domestic issues that comprise this epidemic.

1. The emergence and consolidation of the standard security model : exploring the Colombian case -- 2. 1983-1989 : the Alfonsín administration -- 3. 1989-1999 : the Menem administration -- 4. 1999-2015 : the Kirchners' administrations -- 5. The drug problem today.

"Serial no. 108-70." ; Distributed to some depository libraries in microfiche. ; Shipping list no.: 2004-0059-P. ; Mode of access: Internet.

In order to recycle and dispose of all people's expired drugs, the government should design a subsidy policy to stimulate users to return their expired drugs, and drug-stores should take the responsibility of recycling expired drugs, in other words, to be recycling stations. For this purpose it is necessary for the government to select the right recycling stations and treatment stations to optimize the expired drug recycling logistics network and minimize the total costs of recycling and disposal. This paper establishes a tri-level programming model to study how the government can optimize an expired drug recycling logistics network and the appropriate subsidy policies. Furthermore, a Hybrid Genetic Simulated Annealing Algorithm (HGSAA) is proposed to search for the optimal solution of the model. An experiment is discussed to illustrate the good quality of the recycling logistics network and government subsides obtained by the HGSAA. The HGSAA is proven to have the ability to converge on the global optimal solution, and to act as an effective algorithm for solving the optimization problem of expired drug recycling logistics network and government subsidies.