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Purpose - Emerging consumer trends within the food industry have increased the need to create market-oriented products. In order to do so, a future strategy focusing on consumer behaviour and segmentation should be utilised. By identifying how a consumer behaves throughout the purchasing process a company can determine whether what they are offering translates into what a consumer actually needs. This paper seeks to propose that the utilisation of consumer purchase motivation and decision-making models can help identify specific customer clusters to improve marketing strategy. Design/methodology/approach - The proposed methodology is a combined study of both qualitative and quantitative methods consisting of interviews, focus groups and a consumer questionnaire. Findings - A new conceptual model, which integrates motivation, and decision-making models in a food context are proposed. Practical implications - By potentially gaining an intimate knowledge of the consumer, such models can optimise food-marketing effectiveness by assisting the industry in predicting future consumer purchasing behaviour in a more systematic and informed manner. For the purposes of this paper, the research is applied to liquid milk category within the dairy sector in Northern Ireland. The commodity sector of liquid milk has been identified as the research context in recognition of its economic importance within the food industry in Northern Ireland. Originality/value - The paper applies a new theoretical perspective of segmentation techniques to predict consumer purchase behaviour through the development of a conceptual model within a food industry context. [ABSTRACT FROM AUTHOR]

Objectives: Cerebral ventricular volume has the potential to become an important parameter in quantitative neurological diagnosis. However, no accepted methodology for routine clinical use exists to date. We sought a robust, reproducible, and fast technique to evaluate cerebral ventricular volume in young children.Methods: We describe a novel volumetric methodology to segment and visualize intracerebral fluid spaces and to quantify ventricular volumes. The method is based on broadly available T1 weighted volumetric magnetic resonance (MR) imaging, an interactive watershed transform, and a fully automated histogram analysis. We evaluated this volumetric methodology with 34 clinical volumetric MR datasets from non-sedated children (age 6-7 y) with a history of prematurity and low birth weight (< or = 1500 g) obtained during a prospective study.Results: The methodology, with adaptation for small ventricular size, was capable of evaluating all 34 of the pediatric datasets for cerebral ventricular volume. The method was a) robust for normal and pathological anatomy, b) reproducible, c) fast with less than five minutes for image analysis, and d) equally applicable to children and adults.Conclusions: Clinical brain ventricular volume calculations in non-sedated children can be performed using routine MR imaging besides efficient three-dimensional segmentation and histogram analysis with results that are robust and reproducible. [ABSTRACT FROM AUTHOR]

This study evaluated the contribution of prenatal, perinatal, neonatal, and postnatal factors to the prevalence of cognitive disabilities among children aged 2–9 years in Bangladesh. A two-phase survey was implemented in 1987–1988 in which 10,299 children were screened for disability. In multivariate analyses, significant independent predictors of serious mental retardation in rural and urban areas included maternal goiter (rural odds ratio (OR) = 5.14, 95% confidence interval (CI): 1.23, 21.57; urban OR = 4.82, 95% CI: 2.73, 8.50) and postnatal brain infections (rural OR = 29.24, 95% CI: 7.17, 119.18; urban OR = 13.65, 95% CI: 4.69, 39.76). In rural areas, consanguinity (OR = 15.13, 95% CI: 3.08, 74.30) and landless agriculture (OR = 6.02, 95% CI: 1.16, 31.19) were also independently associated with the prevalence of serious mental retardation. In both rural and urban areas, independent risk factors for mild cognitive disabilities included maternal illiteracy (OR = 2.48, 95% CI: 0.86, 7.12), landlessness (OR = 4.27, 95% CI: 1.77, 10.29), maternal history of pregnancy loss (OR = 2.61, 95% CI: 0.95, 7.12), and small for gestational age at birth (OR = 3.86, 95% CI: 1.56, 9.55). Interventions likely to have the greatest impact on preventing cognitive disabilities among children in Bangladesh include expansion of existing iodine supplementation, maternal literacy, and poverty alleviation programs as well as prevention of intracranial infections and their consequences. Further population-based studies are needed to confirm and understand the association between consanguinity and serious cognitive disability. [ABSTRACT FROM PUBLISHER]

The laminin β2 chain is an important constituent of certain kidney and muscle basement membranes. We have generated a detailed physical map of a 110-kb genomic DNA segment surrounding the human laminin β2 chain gene (LAMB2) on chromosome 3p21.3→p21.2, a region paralogous with the chromosome 7q22→q31 region that contains the laminin β1 chain gene locus (LAMB1). Several CpG islands and a novel polymorphic microsatellite marker (D3S4594) were identified. The 3′ end of LAMB2 lies 16 kb from the 5′ end of the glutaminyl tRNA synthetase gene (QARS). About 20 kb upstream of LAMB2 we found a gene encoding a transcribed, non-processed LAMB2-like pseudogene (LAMB2L). The sequence of 1.75 kb of genomic DNA at the 3′ end of LAMB2L was similar to exons 8–12 of the laminin β2 chain gene. The LAMB2L–LAMB2–QARS cluster lies telomeric to the gene encoding the laminin-binding protein dystroglycan (DAG1). [ABSTRACT FROM AUTHOR]

Discusses information on 33 students from the United States (US) who took their doctoral degrees with Wilhelm Wundt at Karl Marx University in Leipzig, Germany. Profile Wundt's first American students; Historical accounts of Americans at Leipzig;Wundt as major professor; Wundt as secondary professor; Wundt's influence on American Students.