The purpose of the study was to compare smart apparel (SA) muscle activity measurements to surface electromyography (sEMG) muscle activity measurements during exercise, and determine if any systematic bias of the apparel exists. Thirty-five male participants (Ages 23.1±2.92 yrs, height 178±0.09 cm, mass 81.14±10.59 kg, body fat percentage 15.4±4.79%) provided informed consent for participation....

by Yan-Ming Li, M.A. Washington State University May 2011 Chair: Joan L. Ellis Research has established a relationship between willingness to pay to price premium and brand equity, however, most studies used stated preference data, which are hypothetical situations. Studies using experimental auction methodology to elicit revealed preferences in branded apparel products have been minimal. The p...

It is well-established that increased product visibility to shoppers leads higher sales for retailers. In this study, we propose an optimization methodology which assigns categories and subcategories store locations sublocations maximize the overall of products shoppers. The hierarchically developed meet strategic tactical layout planning needs brick-and-mortar Layouts in both levels are optimi...

BACKGROUND Knowledge about the cost of open, video-assisted thoracoscopic (VATS), or robotic lung resection and drivers of cost is crucial as the cost of care comes under scrutiny. This study aims to define the cost of anatomic lung resection and evaluate potential cost-saving measures. METHODS A retrospective review of patients who had anatomic resection for early stage lung cancer, carcinoi...

Lot-sizing is one of the many issues arising in the context of production planning. Its main objective is to determine the timing and level of production so as to reach the best possible trade-off between minimizing setup and inventory holding costs and satisfying customer demand. When a limited production capacity and a deterministic time-varying demand rate are assumed, lot-sizing leads to th...

This paper describes an early memory yield prediction model using a memory sensitive area model. The proposed sensitive area prediction model calculates the sensitive area of a memory block for a given process technology and memory capacity. The model is capable of predicting the yield of a memory block in the early design phase without the detailed knowledge of the physical layout. The use of ...