The preservation of some Indian freshwater fish

Quality changes in Labeo rohita, Cirrhinus mrigala and Tilapia mossambica were studied during storage in ice and at ambient temperature (29-32°C). After 10h at ambient temperature L. rohita and T. mossambica were completely spoiled, while C. mrigala became unacceptable within 11h. Organoleptic examination, total volatile base nitrogen and total bacterial counts showed that L. rohita (0.5 kg and above) and C. mrigala (0.5 kg and above) were acceptable up to 7 to 8 days of storage in ice in popular container (Bamboo basket) lined with palmyrah mat) at ambient temperature while T. mossambica (30-40 g) was acceptable up to 6 days. Influence of size of fish on shelf life in ice studied with reference to L. rohita showed that fishes below 500 g were acceptable up to 6 days of storage in ice in popular container at ambient temperature while those above 1000 g size were acceptable up to 8 days. Provision of an alkathene lining to the popular container extended the storage life of L. rohita from 6 days to 8 days. Pre-chilled and iced L. rohita had a longer shel flife (9 days) than merely iced sample (7 days)

Influence of Behavioural Training on Interpersonal Competence with Reference to Generation X Managers

“Generation X” is phrase that has gained entry into modern management literature. Generation X managers are expected to shoulder leadership responsibilities to steer future organizations towards excellence. However, not much research work has been carried out in Indian context to study the characteristics and preferences of Generation X and influence behavioural training on their interpersonal competence. Hence a study was conducted to study the influence of behavioural training on the interpersonal competence of Generation X managers. Data for the study were collected from 243 Generation X managers from a population of 353. The respondents were from nine companies that belonged to seven manufacturing industries. This paper presents the profile of Generation X managers, establishes the need of the study, the methodology adapted to collect the data for the study and discusses the findings of the study. Keywords: Generation X, Interpersonal Competence, Behavioural Training

The Next 700 Semantics: A Research Challenge

Modern systems consist of large numbers of languages, frameworks, libraries, APIs, and more. Each has characteristic behavior and data. Capturing these in semantics is valuable not only for understanding them but also essential for formal treatment (such as proofs). Unfortunately, most of these systems are defined primarily through implementations, which means the semantics needs to be learned. We describe the problem of learning a semantics, provide a structuring process that is of potential value, and also outline our failed attempts at achieving this so far

Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm

PURPOSE: Fatty liver disease (FLD) is an increasing prevalent disease that can be reversed if detected early. Ultrasound is the safest and ubiquitous method for identifying FLD. Since expert sonographers are required to accurately interpret the liver ultrasound images, lack of the same will result in interobserver variability. For more objective interpretation, high accuracy, and quick second opinions, computer aided diagnostic (CAD) techniques may be exploited. The purpose of this work is to develop one such CAD technique for accurate classification of normal livers and abnormal livers affected by FLD. METHODS: In this paper, the authors present a CAD technique (called Symtosis) that uses a novel combination of significant features based on the texture, wavelet transform, and higher order spectra of the liver ultrasound images in various supervised learning-based classifiers in order to determine parameters that classify normal and FLD-affected abnormal livers. RESULTS: On evaluating the proposed technique on a database of 58 abnormal and 42 normal liver ultrasound images, the authors were able to achieve a high classification accuracy of 93.3% using the decision tree classifier. CONCLUSIONS: This high accuracy added to the completely automated classification procedure makes the authors' proposed technique highly suitable for clinical deployment and usage

Prioritizing hazardous pollutants in two Nigerian water supply schemes: a risk-based approach

Objective To rank pollutants in two Nigerian water supply schemes according to their effect on human health using a risk-based approach. Methods Hazardous pollutants in drinking-water in the study area were identified from a literature search and selected pollutants were monitored from April 2010 to December 2011 in catchments, treatment works and consumer taps. The disease burden due to each pollutant was estimated in disability-adjusted life years (DALYs) using data on the pollutant’s concentration, exposure to the pollutant, the severity of its health effects and the consumer population. Findings The pollutants identified were microbial organisms, cadmium, cobalt, chromium, copper, iron, manganese, nickel, lead and zinc. All were detected in the catchments but only cadmium, cobalt, chromium, manganese and lead exceeded World Health Organization (WHO) guideline values after water treatment. Post-treatment contamination was observed. The estimated disease burden was greatest for chromium in both schemes, followed in decreasing order by cadmium, lead, manganese and cobalt. The total disease burden of all pollutants in the two schemes was 46 000 and 9500 DALYs per year or 0.14 and 0.088 DALYs per person per year, respectively, much higher than the WHO reference level of 1 × 10−6 DALYs per person per year. For each metal, the disease burden exceeded the reference level and was comparable with that due to microbial contamination reported elsewhere in Africa. Conclusion The estimated disease burden of metal contamination of two Nigerian water supply systems was high. It could best be reduced by protection of water catchment and pretreatment by electrocoagulation