25,953 research outputs found

    Microalgae production in fresh market wastewater and its utilization as a protein substitute in formulated fish feed for oreochromis spp.

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    Rapid growing of human population has led to increasing demand of aquaculture production. Oreochromis niloticus or known as tilapia is one of the most globally cultured freshwater ïŹsh due to its great adaptation towards extreme environment. Besides, farming of tilapia not only involves small scales farming for local consumption but also larger scales for international market which contributes to a foreign currency earning. Extensive use of ïŹshmeal as feed for ïŹsh and for other animals indirectly caused an increasing depletion of the natural resource and may consequently cause economic and environmental unstable. Microalgae biomass seems to be a promising feedstock in aquaculture industry. It can be used for many purposes such as live food for ïŹsh larvae and dried microalgae to substitute protein material in ïŹsh feed. The microalgae replacement in ïŹsh feed formulation as protein alternative seem potentially beneïŹcial for long term aqua-business sustainability. The present chapter discussed the potential of microalgae as an alternative nutrition in ïŹsh feed formulations, speciïŹcally Tilapia

    A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction

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    This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC). Three models: Multiple Linear Regression (MLR), MLRC and hybrid MLRC with SVM model were compared to get the best model in predicting tumor size of colorectal cancer using two measurement statistical errors. The proposed model of hybrid MLRC with SVM have found two significant clusters whereby, each clusters contained 15 and three significant variables for cluster 1 and 2, respectively. The experiments found that the proposed model tend to be the best model with least value of Mean Square Error (MSE) and Root Mean Square Error (RMSE). This finding has shed light to health practitioner in determining the factors that contribute to colorectal cancer

    Dynamic literature mapping : typography in screen-based media

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    This paper chronicles the development of a visual map representing a literature search on key theorists and thinkers in two principal topics: Typography and New Media. Its aim is to visualise and facilitate conceptual connections between key ideas and philosophies across disciplines. This literature map was drawn up by reviewing available influential literature within these topics. Related categories were later added and a further series of literature searches were conducted to build references in each topic. This on-going cyclical process serves to construct a comprehensive contextual map of knowledge. The benefit of the map is twofold. Primarily, aiding the researcher to navigate and understand complex layers of information. Secondly, allowing the researcher to present and share representations of knowledge. The clarity of the representation is crucial in eliciting the participation of fellow design researchers and practitioners to the development and growth of the literature map

    MatriksMovie: Building The Nation Character Through Movie-Based Realistic Mathematics Education

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    The root of RME is Hans Freudenthal’s interpretations, mathematics as human activity and mathematics must be connected to reality. This study developed a mathematics teaching and learning model that includes the characteristics of RME packaged in production and utilization of educational films in the learning process, it is called MATRiKSMovie Activity. Activity theory is based on Vygotsky's cultural-historical psychology and it focuses on understanding human activity and work practices. Practice of problem solving in real life can lead students to reflect, and build nation character. This research question are how to develop and implement a valid, practical and effective model of teaching and learning with movie based RME approach in Senior High Schools and its effect on students character and learning outcomes. Conclusion of this research are model of teaching and learning with movie based RME approach met the criteria of the content and construct validity, practicality, and effectiveness as it resulted in some positive impacts on the pupils at Grade 10 in Senior High Schools, mathematics learning with movie-based RME approach can serve to build student character as well as the civilization of the nation's dignity in order to educate the nation life, activities and process skills of students in mathematics learning with movie based RME approach has provided a positive impacts on the student learning outcomes (cognitive, affective, and psychomotor). Model of teaching and learning with Movie-based RME approach can be applied in learning mathematics and should be developed further by taking into account students' environment, conditions and facilities available. Humanistic mathematics learning should be developed to build the nation character. Keywords: MATRiKSMovie, Realistic Mathematics Education, Movie, the Nation Characte

    The State of the Art in Cartograms

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    Cartograms combine statistical and geographical information in thematic maps, where areas of geographical regions (e.g., countries, states) are scaled in proportion to some statistic (e.g., population, income). Cartograms make it possible to gain insight into patterns and trends in the world around us and have been very popular visualizations for geo-referenced data for over a century. This work surveys cartogram research in visualization, cartography and geometry, covering a broad spectrum of different cartogram types: from the traditional rectangular and table cartograms, to Dorling and diffusion cartograms. A particular focus is the study of the major cartogram dimensions: statistical accuracy, geographical accuracy, and topological accuracy. We review the history of cartograms, describe the algorithms for generating them, and consider task taxonomies. We also review quantitative and qualitative evaluations, and we use these to arrive at design guidelines and research challenges
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