Fixprice-flexprice industries among Malaysian agrobased manufacturing: An input-output approach

Industries can be classified into fixprice sectors according to their pricing behaviour. Although Hicks and Morishima have broadly classified manufacturing industries into fixprice and the rest of the economy into flexprice, using cost-based input-output models, the present paper reclassifies Malaysian agrobased manufacturing into flexprice and nonagrobased manufacturing into fixprice categories. By compiling annual sectoral price indices, both for intermediate and primary inputs, the model estimates sectoral residual profits of 1978 and 1983 vintage technologies.     

On input-output type output multipliers from incomplete information

Incomplete knowledge of data usually hinders the establishment of detailed input-output tables. It is for this reason that up-dating procedures (RAS) as well as short-cut methods have been developed. In this paper the short-cut output multiplier formula by Drake (1976) is compared with the output multiplier involved in the RAS procedures. It will turn out that both these output multiplier estimates are two special cases of a more general class of estimating procedures. It is demonstrated by an empirical example how this generalized procedure should be applied in practice. The kind of reasoning underlying this paper can be extended to other problems of input-output analysis as well.     

An authentic constructionist approach to students’ visualisation of the law

This study discusses student perspectives on visualisation used as a constructionist technique for learning the law in an authentic context. Student constructions of storyboards, comics, films and animation are explored as an authentic method for personalised learning of legal professional conduct and ethics. Undergraduate law students (n = 112) were asked to select a visual format for exploration of an ethical issue of their choice. The results of this study showed most students engaged with this highly creative visual task responding very positively to the exercise as a learning activity. This study discusses why students chose different forms of visualisation, what approach they took to developing their visualisation, the amount of effort devoted to visualisation versus legal elements of their artefacts and observations on the positive and negative aspects of their approach and how the technique could be improved.

A video abstract is also available at https://doi.org/10.1080/03069400.2018.1496313     

A multivariate statistical approach to for the evaluation of the biogeographical ancestry information from traditional STRs

The capability to achieve biogeographic ancestry (BGA) information from DNA profiles have been largely explored in forensic genetics because of its potential usefulness in providing investigative clues. For law enforcement and security purposes, when genetic data have been obtained from unknown evidence, but no reference samples are available and no hints come out from DNA databases, it would be extremely useful at least to infer the ethno-geographic origin of the stain donor by just examining traditional STRs DNA profiles.Current protocols for ethnic origin estimation using STRs profiles are usually based on Principal Component Analysis approaches and Bayesian methods. The present study provides an alternative approach that involves the use of target multivariate data analysis strategies for estimation of the BGA information from unknown biological traces. A powerful multivariate technique such as Partial Least Squares-Discriminant Analysis (PLS-DA) has been applied on NIST U.S. population datasets containing, for instance, the allele frequencies of African-American, Asian, Caucasian and Hispanic individuals. PLS-DA approach provided robust classifications, yielding high sensitivity and specificity models capable of discriminating the populations on ethnic basis. Finally, a real casework has been examined by extending the developed model to smaller and more geographically-restricted populations involving, for instance, Albanian, Italian and Montenegrian individuals.     

Reliability of a two-dimensional footprint measurement approach

Although footprint evidence can be taken from the scene of a crime, the science underpinning such measurement in forensic science has not been fully explored.A literature search revealed various measuring approaches, all of which demonstrated either little or no measurement rigour in terms of reliability. The aim of this study was to apply a robust measurement approach for testing the reliability of two-dimensional footprint impressions.Three dynamic and three static footprints were taken from the right foot of thirty female and thirty one male volunteers using the ‘Inkless Shoeprint Kit’. The images were digitised. Lengths, widths and angles were measured using a selection of currently employed methods.An investigation of the reliability of the chosen measuring method suggested high intra-rater agreement: for example, the length measurement suggested an intraclass correlation coefficient (ICC) 0.99, 95% Confidence Interval (CI) ? 0.28 to 0.01, standard error of measurement (SEM) 0.07, Limits of Agreement (LOA) ? 0.91 to 0.65.Inter-rater reliability between three operators was also high: SEM ranged from 0.05 mm to 0.07 mm, ICC 0.99.Our study has established a reliable two-dimensional measuring technique that could be used for footprint comparison in further research.