30 research outputs found
A note on the culture of Chanos chanos (Forskal) at Brackishwater Fish Farm, Kaninada
The culture of Chanos chanos to marketable size within a three months period, is described. Procedures involved include phased manuring coupled with proper water management to keep up enhanced primary productivity. Results show that, under monoculture, with low-input technology it is possible to produce 3,000 kg fish per hectare per year
Thermodynamic Geometry: Evolution, Correlation and Phase Transition
Under the fluctuation of the electric charge and atomic mass, this paper
considers the theory of the thin film depletion layer formation of an ensemble
of finitely excited, non-empty -orbital heavy materials, from the
thermodynamic geometric perspective. At each state of the local adiabatic
evolutions, we examine the nature of the thermodynamic parameters,
\textit{viz.}, electric charge and mass, changing at each respective
embeddings. The definition of the intrinsic Riemannian geometry and
differential topology offers the properties of (i) local heat capacities, (ii)
global stability criterion and (iv) global correlation length. Under the
Gaussian fluctuations, such an intrinsic geometric consideration is anticipated
to be useful in the statistical coating of the thin film layer of a desired
quality-fine high cost material on a low cost durable coatant. From the
perspective of the daily-life applications, the thermodynamic geometry is thus
intrinsically self-consistent with the theory of the local and global economic
optimizations. Following the above procedure, the quality of the thin layer
depletion could self-consistently be examined to produce an economic, quality
products at a desired economic value.Comment: 22 pages, 5 figures, Keywords: Thermodynamic Geometry, Metal
Depletion, Nano-science, Thin Film Technology, Quality Economic
Characterization; added 1 figure and 1 section (n.10), and edited
bibliograph
Transformation towards sustainable and resilient societies in Asia and the Pacific
This report explores how resilience thinking can strengthen public policy to enable the transformation towards sustainable societies envisaged by the 2030 Agenda for Sustainable Development in the Asia-Pacific region.
The report takes stock of the changing nature of risk in Asia and the Pacific, and the stresses, shocks and opportunities that are affecting a diverse region’s prospects for achieving the sustainable development goals (SDGs). It quantifies the effects of selected natural hazards, commodity shocks and pollution shocks on the region’s fundamental human systems. It highlights practical efforts being made by citizens, civil society, government and the private sector to build resilience capacities. It urges attention on the need to strengthen our ability to transform our societies if we are to achieve the SDGs. This joint report is a contribution to the ongoing regional and global dialogue on pathways to achieving sustainable development
INFLUENCE OF 1-METHYLCYCLOPROPENE ON THE BIOCHEMICAL RESPONSE AND RIPENING OF ‘SOLO’ PAPAYAS
The South Asian Experience: Financial Arrangements for Facilitating Local Participation in Water and Sanitation Services (WSS) in Poor Urban Areas: Lessons from Bangladesh and Nepal
Item does not contain fulltex
The South Asian Experience: Financial Arrangements for Facilitating Local Participation in Water and Sanitation Services (WSS) in Poor Urban Areas: Lessons from Bangladesh and Nepal
Movie Recommendation Using OLAP and Multidimensional Data Model
Part 4: Data Analysis and Information RetrievalInternational audienceThis research proposes an adoption of data warehousing concepts to create a movie recommender system. The data warehouse is generated using ETL process in a desired star schema. The profiles of users and movies are created using multidimensional data model. The data are analyzed using OLAP, and the reports are generated using data mining and analysis tools. The recommended movies are selected using multi-criteria candidate selection. The movies which present the genres that match individual preference are recommended to the particular user. The multidimensional data model and OLAP provide high performance to discover the new knowledge in the big data