The k-median problem is a variant of the uncapacitated facility location problem that we covered last week, with the difference that instead of a cost for each facility, we have a bound k on the number of facilities. Here is the definition of k-median problem: Problem 1. Given a set of locations(clients) V , a set F̃ of facilities, a cost function between two locations C : (V ⋃ F̃ ) ∗ (V ⋃ F̃ ) → ...

The aim of this study was to compare the efficacy of honey bee venom (BV) and royal jelly (RJ) alongside chitosan scaffold (CS) in improving radius bone defect in rats. A total of 60 full thickness radial bone defects with a length of 5 mm were created in 60 male Wistar rats. Six healthy radial bones (3 rats) were also assigned as normal control for biom...

polyacrylonitril (pan)-supported chitosan (cs) nanocomposite membranes were prepared by cross-linking the cs with 3-aminopropyl-triethoxysilane (apteos) via sol-gel method. pervaporative performances of the cs-sio2/pan membrane for dehydration of aqueous alcohol solutions were investigated. from sem cross-sectional images of the membrane, the spongy pores and the finger-like pores were found in...

our previous study showed that coriandrum sativum (cs) has antinociceptive effects, but the mechanisms that mediate this effect are not clear. the present study was designed to test the role of opiate system in the antinociceptive effects of cs on acute and chronic pain in mice using hot plate (hp), tail flick (tf) and formalin (ft) tests and also to compare its effect with dexamethasone (dex) ...

The spatially distributed sparsity of the mobile devices (MDs) in indoor wireless local area networks (WLANs) makes compressive sensing (CS) based localisation algorithms feasible and desirable. In this Letter, the authors exploit the most recent developments in CS to efficiently perform localisation in WLANs and design an accurate indoor localisation scheme by taking advantage of the theory of...

Compared with the conventional monitoring approach of separately sensing and then compressing the data, compressive sensing (CS) is a novel data acquisition framework whereby the compression is done during the sampling. If the original sensed signal would have been sufficiently sparse in terms of some orthogonal basis, the decompression can be done essentially perfectly up to some critical comp...

The last decade has seen great progress in both dynamic network modeling and topic modeling. This paper draws upon both areas to create a Bayesian method that allows topic discovery to inform the latent network model and the network structure to facilitate topic identification. We apply this method to the 467 top political blogs of 2012. Our results find complex community structure within this ...

This study investigates the undergraduate students in computer science/electric engineering (CS/EE) in Taiwan to measure their perceived benefits from the experiences in service learning coursework. In addition, the confidence of their professional disciplines and its correlation with service learning experiences are examined. The results show that students take positive attitudes toward servic...