Difference in the association of food security and dietary diversity with and without imposed ten grams minimum consumption

Background: Dietary diversity measurement is one of the simple tools to assess the quality of food consumed in population-level and endorse by many international agencies. However, there is a growing concern that the current dietary diversity measures were lacking in the sensitivity due to the omission of minimum food consumed to be considered as consuming certain food groups in the calculation of dietary diversity score. The purpose of this study is to find the difference in DDS measurement between two methods by applying a 10-grams minimum intake for all food groups and the other one, without. Design: A cross-sectional studies involving 55 samples from two villages with different geographical characteristics. Methods: One village represents the agricultural area; other was fishpond/coastal area. Dietary diversity was analyzed using Individual Dietary Diversity Score (IDDS) with 9 food categorizations. Dietary diversity measurement calculated based on the food recall with consideration of 10 grams minimum of food weight consumption. Mann Whitney Test used to analyze the difference between calculation of dietary diversity score with and without minimum 10-grams. Results: There is no difference of children’s dietary diversity between agriculture and fishpond family group when the dietary diversity was omitting 10 grams minimum intake (p-value=0.184), while, using 10 grams minimums intake (p=0.024), there is a difference. Conclusions: Using 10 grams minimum had shown to strengthened the relationship between dietary diversity and adequacy. Further research is needed to find other minimum requirement in different kind of population to find differences among them

Measuring diversity of socio-cognitively inspired ACO search

In our recent research, we implemented an enhancement of Ant Colony Optimization incorporating the socio-cognitive dimension of perspective taking. Our initial results suggested that increasing the diversity of ant population - introducing different pheromones, different species and dedicated inter-species relations - yielded better results. In this paper, we explore the diversity issue by introducing novel diversity measurement strategies for ACO. Based on these strategies we compare both classic ACO and its socio-cognitive variation

Measuring compulsive buying behaviour: Psychometric validity of three different scales and prevalence in the general population and in shopping centres

Due to the problems of measurement and the lack of nationally representative data, the extent of compulsive buying behaviour (CBB) is relatively unknown. Methods: The validity of three different instruments was tested: Edwards Compulsive Buying Scale (ECBS; Edwards, 1993), Questionnaire About Buying Behavior (QABB; Lejoyeux & Adès, 1994) and Richmond Compulsive Buying Scale (RCBS; Ridgway, et. al., 2008) using two independent samples. One was nationally representative of the Hungarian population (N=2710) while the other comprised shopping mall customers (N=1447). Results: A new, four-factor solution for the ECBS was developed (ECBS-R), and confirmed the other two measures. Additionally, cut-off scores were defined for all measures. Results showed that the prevalence of CBB is 1.85% (with QABB) in the general population but significantly higher in shopping mall customers (8.7% with ECBS-R, 13.3% with QABB and 2.5% with RCBS-R). Conclusions: Due to the diversity of content, each measure identifies a somewhat different CBB group

Diversity indices of selected macrobenthos in Karanja Creek (District-Raigad), Maharashtra, west coast of India

The diversity indices can be used as a good measure for studying the effect of industrial pollution because industrial wastes and sewage almost always reduce the diversity of natural systems into which they are discharged. A measurement of diversity often provides a better index of pollution than a direct measurement of pollutants. The assessment of macrobenthos diversity with respect to diversity indices reflects the marine population and habitat disturbance, and also serves as an important indicator of environmental conditions. The present study was designed to investigate the diversity indices of selected macrobenthos at two ecologically distinct locations on the Karanja creek (District - Raigad), Maharashtra, west coast of India. Results on various diversity indices like Index of Frequency (F) or Importance Probability (Pi), Index of Dominance (c), Rarity Index (R), Shannon's Index of General Diversity (H¹) Margaf’s Richness Index (R sub(1)) and Evenness Index (e) did not vary significantly. This demonstrates that at present, Karanja creek harbours varied forms of macrobenthic community showing no effect of human disturbance, but in future, measures must be taken for the protection and conservation of macrobenthic community of the creek

Morphology and Genetic Diversity of Mitochondrial Dna D-loop Region Using Pcr-rflp Analysis in Magelang Duck and Other Native Duck

The aim of this study was to investigate the different of plumage colors on morphological diversityof Magelang duck and genetic diversity using PCR-RFLP mtDNA D-loop region analysis of Magelangduck and four others native duck population (Tegal, Mojosari, Bali and Alabio duck) in Indonesia. Bloodsample was taken from 50 Magelang ducks and 20 of each native ducks. Morphological characteristicsof body measurement, production ability and egg quality of Magelang duck were analyzed usingCompletely Randomized Design with 11 plumage colors as treatments. PCR technique was administeredto amplify fragments in mtDNA D-loop region and PCR products were digested with endonucleaserestriction enzyme AluI and HaeIII. The result showed that morphology diversity of Magelang duck wasstatistically affected by different plumage colors. PCR-RFLP analysis using AluI and HaeIII restrictionenzyme resulted in six combinations of restriction fragment pattern shown in six haplotypes (A, B, C, D,E and F). Haplotype difference showed genetic diversity in the population of Magelang duck and theother native ducks. In conclusion, the different plumage colors affected morphology diversity ofMagelang duck. Genetic diversity of Indonesian native duck population could be identified by usingPCR-RFLP analysis on mtDNA D-loop region

Population Diversity in Ant-inspired Optimization Algorithms

Finding a balance between exploration and exploitation is very important in the case of metaheuristics optimization, especially in the systems leveraging population of individuals expressing (as in Evolutionary Algorithms, etc.) or constructing (as in Ant Colony Optimization) solutions. Premature convergence is a real problem and finding means of its automatic detection and counteracting are of great importance. Measuring diversity in Evolutionary Algorithms working in real-value search space is often computationally complex, but feasible while measuring diversity in combinatorial domain is practically impossible (cf. Closest String Problem). Nevertheless, we propose several practical and feasible diversity measurement techniques dedicated to Ant Colony Optimization algorithms, leveraging the fact that even though analysis of the search space is at least an NP problem, we can focus on the pheromone table, where the direct outcomes of the search are expressed and can be analyzed. Besides proposing the measurement techniques, we apply them to assess the diversity of several variants of ACO, and closely analyze their features for the classic ACO. The discussion of the results is the first step towards applying the proposed measurement techniques in auto-adaptation of the parameters affecting directly the exploitation and exploration features in ACO in the future

iPBS-Retrotransposon Markers in the Analysis of Genetic Diversity among Common Bean (Phaseolus vulgaris L.) Germplasm from Türkiye

Beans are legumes that play extremely important roles in human nutrition, serving as good sources of protein, vitamins, minerals, and antioxidants. In this study, we tried to elucidate the genetic diversity and population structure of 40 Turkish bean (Phaseolus vulgaris L.) local varieties and 5 commercial cultivars collected from 8 different locations in Erzurum-Ispir by using inter-primary binding site (iPBS) retrotransposon markers. For molecular characterization, the 26 most polymorphic iPBS primers were used; 52 bands per primer and 1350 bands in total were recorded. The mean polymorphism information content was 0.331. Various diversity indices, such as the mean effective allele number (0.706), mean Shannon’s information index (0.546), and gene diversity (0.361) revealed the presence of sufficient genetic diversity in the germplasm examined. Molecular analysis of variance (AMOVA) revealed that 67% of variation in bean germplasm was due to differences within populations. In addition, population structure analysis exposed all local and commercial bean varieties from five sub-populations. Expected heterozygosity values ranged between 0.1567 (the fourth sub-population) and 0.3210 (first sub-population), with an average value of 0.2103. In contrary, population differentiation measurement (Fst) was identified as 0.0062 for the first sub-population, 0.6372 for the fourth subpopulations. This is the first study to investigate the genetic diversity and population structure of bean germplasm in Erzurum-Ispir region using the iPBS-retrotransposon marker system. Overall, the current results showed that iPBS markers could be used consistently to elucidate the genetic diversity of local and commercial bean varieties and potentially be included in future studies examining diversity in a larger collection of local and commercial bean varieties from different regions

New analysis for consistency among markers in the study of genetic diversity: development and application to the description of bacterial diversity

<p>Abstract</p> <p>Background</p> <p>The development of post-genomic methods has dramatically increased the amount of qualitative and quantitative data available to understand how ecological complexity is shaped. Yet, new statistical tools are needed to use these data efficiently. In support of sequence analysis, diversity indices were developed to take into account both the relative frequencies of alleles and their genetic divergence. Furthermore, a method for describing inter-population nucleotide diversity has recently been proposed and named the double principal coordinate analysis (DPCoA), but this procedure can only be used with one locus. In order to tackle the problem of measuring and describing nucleotide diversity with more than one locus, we developed three versions of multiple DPCoA by using three ordination methods: multiple co-inertia analysis, STATIS, and multiple factorial analysis.</p> <p>Results</p> <p>This combination of methods allows i) testing and describing differences in patterns of inter-population diversity among loci, and ii) defining the best compromise among loci. These methods are illustrated by the analysis of both simulated data sets, which include ten loci evolving under a stepping stone model and a locus evolving under an alternative population structure, and a real data set focusing on the genetic structure of two nitrogen fixing bacteria, which is influenced by geographical isolation and host specialization. All programs needed to perform multiple DPCoA are freely available.</p> <p>Conclusion</p> <p>Multiple DPCoA allows the evaluation of the impact of various loci in the measurement and description of diversity. This method is general enough to handle a large variety of data sets. It complements existing methods such as the analysis of molecular variance or other analyses based on linkage disequilibrium measures, and is very useful to study the impact of various loci on the measurement of diversity.</p

What Drives Fiscal Decentralisation?

This paper investigates the determinants of fiscal decentralisation, focusing in particular on the impact of the level of income on the level of fiscal decentralisation. Various measures of fiscal decentralisation, several of them novel in this context, are employed in a cross-country econometric model to test established and more recent hypotheses. Paying careful attention to variable measurement, model specification and sample coverage, the results suggest that there are significant relationships between a range of factors, including income, geographical size, population density, population diversity, military expenditure, the structure of the public sector and openness to trade, and fiscal decentralisation. However, these relationships may be more complicated than previously reported. For the entire sample and for the OECD subsample a positive relationship between income and decentralisation is found, which corroborates the results found in earlier studies. However, for the middle and lower income nations, higher income is found to be associated with less decentralisation.