Persister Development by Borrelia burgdorferi PopulationsIn Vitro

ABSTRACTDoxycycline is an antibiotic commonly used to treat Lyme disease and other bacterial infections. The MIC and minimum bactericidal concentration (MBC) forBorrelia burgdorferihave been investigated by different groups but were experimentally established in this study as a function of input cell density. We demonstrated thatB. burgdorferitreated in the stationary phase has a higher probability of regrowth following removal of antibiotic. In addition, we determined experimentally and mathematically that the spirochetes which persist posttreatment do not have a longer lag phase but exhibit a lower growth rate than untreated spirochetes. Finally, we found that treating the spirochetes by pulse-dosing did not eliminate growth or reduce the persister populationin vitro. From these data, we propose thatB. burgdorferipersister development is stochastic and driven by slowed growth.

Research on Chaos Feature and Forecasting of Air Conditioning Load

Evolution law on air conditioning load is affected by many factors which are very difficult to be known and gained, that which results in low precision of simulation and forecast. Based on analysis on chaos characteristic of air conditioning load time series, BP neural networks model based on chaos phase space is proposed to forecast air conditioning load through embedding dimension. Considering influence of dynamical factor of air conditioning load as well as difficulty of calculating number of input cell, the model is provided with strong nonlinear mapping capacity, is applied to simulate and forecast air conditioning load, the outcomes is reasonable and higher precision.

A Simulated Annealing Based Location Area Optimization in Next Generation Mobile Networks

Mobile networks have faced rapid increase in the number of mobile users and the solution for supporting the growing population is to reduce the cell sizes and to increase the bandwidth reuse. This will cause the number of location management operations and call deliveries to increase significantly, and result in high signaling overhead. We focus on minimizing this overhead, by efficient Location Area Planning (LAP). In this paper we seek to determine the location areas to achieve the minimization of the registration cost, constrained by the paging cost. For that we propose a simulated annealing algorithm, which is applied on a basic Location Area partition of cells formed by a greedy algorithm. We used our realistic mobile environment simulator to generate input (cell changing and incoming call statistics) for our algorithm, and by comparing the values of the registration cost function we recognized that significant reduction was achieved in the amount of the signaling traffic.