To elucidate the effect of cellular phone electromagnetic wave (EMW) exposure on the developing cerebellar cortex of neonatal Sprague-Dawley rats, animals were exposed to cellular phone electromagnetic waves for 1 hr per day for 3 weeks. At the end of the experimental period, animals were sacrificed by cardiac perfusion, after which histological samples were prepared and observed microscopically. In the EMW exposure group, external granule cells were remained partially in the external granular layer without migrating into the internal granular layer. In addition, dark stained shrunken Purkinje cells with pyknotic nuclei increased and the outline of cells became irregular and showed degenerative signs, such as mitochondrial swelling and disrupted cristae. Moreover, the cisternae of rough endoplasmic reticula and Golgi complex were severely swollen. Bergmann glial cells adjacent to the dark stained Purkinje cells were swollen and cytoplasmic organelles were scant. Dark stained shrunken granule cells were also observed and the outline of cells was irregular. The results of the present study suggest that cellular phone EMW exposure to neonatal Sprague-Dawley rats leads to a partial delay of early migration of cerebellar cortical cells and degenerative changes in Purkinje cells, Bergmann glial cells and granule cells.

The CLASS (Computerized LAyout Solutions using Simulated annealing) deals with the inter-cell and intra-cell layout problems in a cellular manufacturing environment. It focuses on the relative placement of manufacturing cells to minimize the total material flow (cost). The method is based on simulated annealing, which has been successfully applied for solving facility layout problems. This algorithm has a character of the independence of the final solution to the initial solution. There are 2 comparisons were made with applying 2-Opt algorithm to the CLASS when finding initial variables and used 2-Opt algorithm again after finding a solution by using 2-Opt algorithm to the CLASS to accommodate to improve the output.

This paper proposes a hierarchical approach to the machine loading problem when the workload and tool magazine capacity of each machine are restrained. This heuristic approach reduces the maximum workload of the machines by partially grouping them. This research deals with situations where different groups of machines performing the same operation require different processing times. This work proposes a solution that is comprised of two phases. In first phase, demand is divided into batches and then operations are allocated. In Phase II, the processing time of the operation is different for each machine group, which is composed of the same identical machines; however, these machines can perform different sets of operations if tooled differently. In partial grouping, each machine is tooled differently, but they can assist one another in processing each individual operation.

In this paper we develop an efficient procedure for solving the tactical-level room allocation problem for hotel industry by incorporating other sources of revenue into overall Revenue Management (RM) system. To maximize profits and allocate wisely available resources, first, determine how different market segments contributed. And apply this to an efficient procedure for solving tactical-level room allocation problem for the hotel industry by combining the dynamic model for handling single-night reservation requests and the static model for handling multi-night reservation requests.

This paper is for applying interactive fuzzy linear programming for the problem of product mix planning, which is one of the aggregate planning problem. We developed a modified algorithm, which has two-phase approach for interactive fuzzy linear programming to get a better solution. Adding two-phase method, we expect to obtain not only the highest membership degree, but also a better utilization of each constrained resource.