Nonomuraea monospora sp. nov., an actinomycete isolated from cave soil in Thailand, and emended description of the genus Nonomuraea

A novel actinomycete, designated strain PT708T, was isolated from cave soil collected in Pha Tup Cave Forest Park, Nan province, Thailand. It produced compounds with antimicrobial and anticancer activities. Its chemotaxonomic properties were consistent with those of members of the genus Nonomuraea . The major menaquinone was MK-9(H4), with minor amounts of MK-9(H6), MK-9(H2), MK-10(H2) and MK-8(H4). The polar lipid profile contained phosphatidylmonomethylethanolamine, diphosphatidylglycerol, hydroxy-phosphatidylmonomethylethanolamine, hydroxy-phosphatidylethanolamine, phosphatidylethanolamine, phosphatidylglycerol, phosphatidylinositol mannoside and phosphatidylinositol. The major fatty acids were iso-C16 : 0, 10-methyl C17 : 0, C16 : 0 and C17 : 1ω6c. Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain PT708T belonged to the genus Nonomuraea and was most closely related to Nonomuraea rhizophila YIM 67092T (98.50 % sequence similarity) and Nonomuraea rosea GW 12687T (98.30 %). The genomic DNA G+C content of strain PT708T was 73.3 mol%. Unlike the recognized members of the genus Nonomuraea , the novel strain formed single spores at the tips of aerial hyphae. Based on the phenotypic, phylogenetic and genotypic evidence, strain PT708T represents a novel species of the genus Nonomuraea , for which the name Nonomuraea monospora sp. nov. is proposed. The type strain is PT708T ( = TISTR 1910T = JCM 16114T)

Energy gap of the bimodal two-dimensional Ising spin glass

An exact algorithm is used to compute the degeneracies of the excited states of the bimodal Ising spin glass in two dimensions. It is found that the specific heat at arbitrary low temperature is not a self-averaging quantity and has a distribution that is neither normal or lognormal. Nevertheless, it is possible to estimate the most likely value and this is found to scale as L^3 T^(-2) exp(-4J/kT), for a L*L lattice. Our analysis also explains, for the first time, why a correlation length \xi ~ exp(2J/kT) is consistent with an energy gap of 2J. Our method allows us to obtain results for up to 10^5 disorder realizations with L <= 64. Distributions of second and third excitations are also shown.Comment: 4 pages, 4 figure

Analytical evidence for the absence of spin glass transition on self-dual lattices

We show strong evidence for the absence of a finite-temperature spin glass transition for the random-bond Ising model on self-dual lattices. The analysis is performed by an application of duality relations, which enables us to derive a precise but approximate location of the multicritical point on the Nishimori line. This method can be systematically improved to presumably give the exact result asymptotically. The duality analysis, in conjunction with the relationship between the multicritical point and the spin glass transition point for the symmetric distribution function of randomness, leads to the conclusion of the absence of a finite-temperature spin glass transition for the case of symmetric distribution. The result is applicable to the random bond Ising model with $\pm J$ or Gaussian distribution and the Potts gauge glass on the square, triangular and hexagonal lattices as well as the random three-body Ising model on the triangular and the Union-Jack lattices and the four dimensional random plaquette gauge model. This conclusion is exact provided that the replica method is valid and the asymptotic limit of the duality analysis yields the exact location of the multicritical pointComment: 11 Pages, 4 figures, 1 table. submitted to J. Phys. A Math. Theo

Nutritional and socio-economic determinants of cognitive function and educational achievement of Aboriginal schoolchildren in rural Malaysia

A community-based cross-sectional study was carried out among Aboriginal schoolchildren aged 7–12 years living in remote areas in Pos Betau, Pahang, Malaysia to investigate the potential determinants influencing the cognitive function and educational achievement of these children. Cognitive function was measured by intelligence quotient (IQ), while examination scores of selected school subjects were used in assessing educational achievement. Blood samples were collected to assess serum Fe status. All children were screened for soil-transmitted helminthes. Demographic and socio-economic data were collected using pre-tested questionnaires. Almost two-thirds (67·6 %) of the subjects had poor IQ and most of them (72·6 %) had insufficient educational achievement. Output of the stepwise multiple regression model showed that poor IQ was significantly associated with low household income which contributed the most to the regression variance (r2 0·059; P = 0·020). Low maternal education was also identified as a significant predictor of low IQ scores (r2 0·042; P = 0·043). With educational achievement, Fe-deficiency anaemia (IDA) was the only variable to show significant association (r2 0·025; P = 0·015). In conclusion, the cognitive function and educational achievement of Aboriginal schoolchildren are poor and influenced by household income, maternal education and IDA. Thus, effective and integrated measures to improve the nutritional and socio-economic status of rural children would have a pronounced positive effect on their education

The effect of a school-based iron intervention on the haemoglobin concentration of school children in north-west Pakistan

This article was published in the European Journal of Clinical Nutrition [Nature Publishing Group © the authors] and the definitive version is available at: http://dx.doi.org/10.1038/ejcn.2013.160Objective: To assess the effectiveness of iron supplements administered to school children through a longitudinal school health intervention in terms of child haemoglobin concentration and anaemia prevalence. Subjects and Methods: Children and adolescents aged 5-17 years were selected from 30 schools in north-west Pakistan for a longitudinal iron supplement intervention. Children received once-weekly iron supplements (200mg ferrous sulphate containing 63mg of elemental iron) for 24 weeks (n=352); or the same supplements twice-weekly for 12 weeks (n=298) or received no tablets (n=298). Haemoglobin concentration was estimated in finger-prick blood samples at baseline, 12 and 24 weeks. Follow-up samples were taken at 36 weeks. Results: A non-significant increase in haemoglobin concentration was observed in children receiving iron supplements after 12 weeks (mean 1.4 g/l SD 15.0 g/l in once-weekly vs 2.5 g/l SD 14.5 g/l in twice-weekly) compared with the group receiving no iron supplements. There was no significant reduction in the prevalence of anaemia in the once-weekly or twice-weekly group compared with the unsupplemented group. The prevalence of anaemia increased in all three groups during the follow-up period (24 to 36 weeks). Conclusion: Once-weekly and twice-weekly iron supplements were not associated with significant increases in haemoglobin concentration compared with unsupplemented children. In all groups, baseline haemoglobin concentration was the strongest predictor of haemoglobin increase. The lack of improvement may stem from the moderate baseline prevalence of anaemia (33%); other micronutrient deficiencies; variable compliance, or the worsening of haemoglobin status due to seasonal changes in dietary iron and other nutrients

Link mining in signed social networks

Signed social networks that have both negative and positive links are becoming a popular form of social networks. This thesis seeks to gain insight into how a user creates a positive or negative connection towards other users. The sign of connections between the users can be predicted efficiently and reliably using a newly proposed measure. In this thesis, a new representation named Inverse Square Measure (ISM) is proposed. ISM is inspired from inverse square law, and uses node properties and distance-based metrics to represent a connection in social networks. ISM measures the importance and intensity of a pair of nodes using node properties and defines the distance between two nodes as a penalty. In addition, 16 edge-centric multi view networks are derived from the original network to compute the distance between two nodes in the network. In fact, having 16 multi view networks makes it possible to analyze a link between a pair of nodes from 16 different perspectives. In this thesis, the new representation is used for four problems: sign prediction, direction prediction, link prediction, and unified link and sign prediction. The experimental results on a group of six large networks including Amazon, Facebook, arXiv ASTRO-PH, Epinions, Slashdot, and Wikipedia prove the effectiveness of the proposed method. In addition, ISM is used as a feature vector on lineup performance prediction. In order to analyze and predict lineups' performance, the authors create a directed, weighted, and signed network of all lineups that teams use against each other from 2007-2016 seasons in National Basketball Association (NBA) games. The proposed model uses machine learning and network analysis techniques to predict the performance of a lineup under a given situation by utilizing graph theory and Inverse Square Measure. In order to evaluate the performance of the proposed method, several baseline models are established and results are compared. The final results over the span of ten years show that the proposed method improves the baseline results by 10% accuracy