in today’s competitive business environment, the design and management of supply chainnetwork is one of the most important challenges that managers encounter. the supply chain network shouldbe designed for satisfying of customer demands as well as minizing the total system costs. this paper presentsa multi-period multi-stage supply chain network design problem under demand uncertainty. the prob...

traditional survey methods may cause refusals to respond or untruthful replies when encounter the sensitive questions. the randomized response technique (rrt) is designed to decrease social desirability bias and obtain reliable estimates. this study aimed to apply these new methods on the sensitive questions survey.simmons model was applied in the survey of issues relevant to commercial sex amo...

NUMBER 4 A target hides himself in one of the boxes 1,2, ... , m with probability distribution X=<Xl, ... , Xm) and can move to any of other boxes after each unsuccessful search by a searcher. The searcher is not informed of x and continues search until the target is found. He is informed of Ci'S, i.e., examination costs of each box, and ai's, i= 1, ... , m, where ai is the probability of overl...

Inspite of considerable development in contraceptive technology, search for female antifertility agent in plants continues to be a potential area of investigation. The ethanol extract of Crotalaria juncea seeds which showed promising antiovulatory activity in female albino rats was examined for the isolation of its active fractions. Two fractions were obtained using Thin Layer Chromatography ...

Abstract Person search is of great significance to public safety research, such as crime surveillance, video surveillance and security. a method locating identifying the queried person from complete set images. The main cause false recall missed detection in presence occlusion In order improve accuracy when be occluded, this paper proposes an attention-based one-stage framework for (ABOS) using...

We review the performance of a new two-stage cascaded machine learning approach for rescoring keyword search output for low resource languages. In the first stage Confusion Networks (CNs) are rescored for improved Automatic Speech Recognition (ASR) by reranking the arcs of each confusion bin. In the second stage we generate keyword search hypotheses from the rescored ASR output and rescore them...