A bicriteria stochastic programming model for capacity by Riis M., Lodahl J.

By Riis M., Lodahl J.

We give some thought to capability growth of a telecommunications community within the face of doubtful destiny call for and capability destiny disasters of community parts. the matter is formulated as a bicriteria stochastic software with recourse within which the entire fee of the means enlargement and the chance of destiny potential standards to be violated are at the same time minimized. Assuming the lifestyles of a finite variety of attainable destiny states of the area, an set of rules for the matter is elaborated. The set of rules determines all non-dominated options to the matter by way of a discounted possible zone process, fixing a series of limited subproblems via a slicing airplane technique. Computational effects are stated for 3 various challenge cases, one among that is a real-life challenge confronted by way of SONOFON, a Danish communications community operator.

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In addition, several groups of firefighters have expressed concerns about their exposure from base stations located in firehouses and possible exposure to antennas on the fire trucks. A feasibility study might be useful in determining whether these groups have a sufficient exposure range and if an informative study is feasible. Research Gaps Judged to Be of Lower Priority 1. Case-control Studies of Rare Diseases. For rare diseases, such as adult leukemia, non-Hodgkin lymphoma and neurodegenerative diseases, additional case-control studies may be justified as a cohort study will likely not have sufficient statistical power.

Mortality is probably inadequate as the sole measure of effect and incidence11 could also be included. Occupational studies12 have been performed over a longer time period, but the exposure frequencies may not always be relevant for an assessment of effects at frequencies of interest from wireless communication devices, and we are only beginning to measure and learn about RF exposures in various occupations. The most extensive literature addresses brain tumors and leukemia, but also of note are cancers of the breast (Tynes et al.

Background tumor responses (incidence and latency) to make them suitable for use in hazard identification. Cancer-related Endpoints: Genetic Toxicology 4. Although genetic toxicology studies have failed to identify potential RF health effects (in part due to lack of replication of findings from key positive studies), additional genetic toxicology studies may be warranted should evidence of oncogenicity be identified in any of the ongoing chronic toxicity/oncogenicity bioassays of RF fields in laboratory animals, or in any future studies to be performed using genetically engineered animal models.

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