Multi criteria decision making methods for location selection of distribution centers

In recent years, major challenges such as, increase in inflexible consumer demands and to improve the competitive advantage, it has become necessary for various industrial organizations all over the world to focus on strategies that will help them achieve cost reduction, continual quality improvement, increased customer satisfaction and on time delivery performance. As a result, selection of the most suitable and optimal facility location for a new organization or expansion of an existing location is one of the most important strategic issues, required to fulfill all of these above mentioned objectives. In order to sustain in the global competitive market of 21st century, many industrial organizations have begun to concentrate on the proper selection of the plant site or best facility location. The best location is that which results in higher economic benefits through increased productivity and good distribution network. When a choice is to be made from among several alternative facility locations, it is necessary to compare their performance characteristics in a decisive way. As the facility location selection problem involves multiple conflicting criteria and a finite set of potential candidate alternatives, different multi-criteria decision-making (MCDM) methods can be effectively applied to solve such type of problem. In this paper, four well known MCDM methods have been applied on a facility location selection problem and their relative ranking performances are compared. Because of disagreement in the ranks obtained by the four different MCDM methods a final ranking method based on REGIME has been proposed by the authors to facilitate the decision making process

International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways.

Primary biliary cirrhosis (PBC) is a classical autoimmune liver disease for which effective immunomodulatory therapy is lacking. Here we perform meta-analyses of discovery data sets from genome-wide association studies of European subjects (n=2,764 cases and 10,475 controls) followed by validation genotyping in an independent cohort (n=3,716 cases and 4,261 controls). We discover and validate six previously unknown risk loci for PBC (Pcombined<5 × 10(-8)) and used pathway analysis to identify JAK-STAT/IL12/IL27 signalling and cytokine-cytokine pathways, for which relevant therapies exist

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

On the prediction of viscosity of glasses from optical basicity

A procedure for estimation of viscosity from the optical basicity of glass melts is reported for the first time. SCIGLASS data for four silicate glass systems are chosen to develop the method proposed. The temperature corresponding to a particular viscosity value decreases exponentially with the increase of the optical basicity of a melt. Study of the dependence of viscosity on optical basicity leads to a viscosity-temperature relation which is a modified form of the well-known Vogel-Fulcher-Tamman equation [H. Vogel, Phys. Z. 22, 645 (1921); G. S. Fulcher, J. Am. Chem. Soc. 8, 339 (1925)]. (c) 2006 American Institute of Physics

Ligational Behaviour of a Tridentate NNS Donor Ligand towards Salts of Co(III), Ni(II) & Cu(II)

745-74

Dual inhibition of DNA topoisomerases of Leishmania donovaniby novel indolyl quinolines

A wide variety of biologically active compounds contain indole and quinoline nuclei. A one step synthesis of some novel indolyl quinoline analogs e.g.2-(2" - Dichloro - acetamidobenzyl) - 3 - (3' - indolyl)-quinoline [1], 2-(2"-Dichloroacetamido-5"-bromo- benzyl)-3'-[3'-(5'-bromoindolyl)]-6-bromo quinoline [2], and 2-(2"-acetamido benzyl)-3-(3'-indolyl)-quinoline [3] has been developed under Friedel-Crafts acylation conditions. The compounds inhibit the relaxation and decatenation reactions catalysed by type I and type II DNA topoisomerases ofLeishmania donovani.Among the three synthetic indolyl quinolines, the Br-derivative [2] is most active. The results reported here concerning the inhibition of type I and type II DNA topoisomerases indicate that the compounds act as "dual inhibitors" of the enzymes and can be exploited for rational drug design in human leishmaniasis