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The survey examined the use of ICT in disaster risk management a case study of NEMA Borno state. The objectives of the study are: to ascertain the use and level of application of ICTs for disaster risk management, to Identify the types of ICT NEMA uses for disaster risk management, assess the specific areas of ICT application for disaster risk management, to examine the effectiveness of effective of the use of ICT in disaster risk management, to Identify the challenges in the application of ICT for disaster risk management in NEMA. The study was situated within diffusion of innovation theory and reviewed related literature thematically. The entire staffs of NEMA (90) formed the population of the study. Purposive sampling technique was used in selecting 60 samples out of the population for analysis as it is needless and time wasting to study the whole population. The study found that NEMA like any other disaster risk management agencies globally is not left out in the effort towards adopting and utilization of ICT in disaster risk management in its own domain. Some of the ICT facilities such as digital camera, Computer and mobile phones have gained effective penetration in terms of utilization by the Agency for disaster risk management. Interestingly, even sophisticated technology like the GIS is been used by the Agency, which is a positive development in terms of being up to date facility wise. Although there are several challenges bedevilling NEMA in effectively utilizing ICT for disaster risk management, the challenges have not hindered the use of available technology for disaster risk management. This goes to show that the use of ICT for disaster risk management in the 21st century is a necessity for purpose of efficiency and timely disaster risk management. Much needs to be done to ensure that NEMA fully benefits from the several opportunities tied to ICT in disaster risk management. The study recommends that Government should adequately fund and meet ICT requirements of NEMA to enable it effectively deploy ...
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Computer simulations provide a powerful tool for understanding ecological and evolutionary systems. Simulating Ecological and Evolutionary Systems in C models a diverse range of biological processes and systems, including competition, foraging, predation, mating systems, and life-history optimization, by simulating large collections of interacting individuals. Using the widely available computer programming language C, the book starts with elementary programs modeling stochastic birth-death processes, slowly increasing programming complexity as the chapters progress. All the important features of C are covered, including arrays, files, pointers, and structures, within biologically motivated simulations. Although computer simulations of extremely complicated biological processes are released from rigid mathematical constraints, each of the simulations is also placed in the context of a mathematical formulation examined either analytically or numerically. Procedures covered include testing random number generators, producing PostScript files, root-finding, numerical integration and using the genetic algorithm
Dr Alexandra Wilson's research on the reception of Puccini's operas was disseminated to a large non-specialist, international audience, principally via numerous opera house programme essays, but also via radio broadcasts, pre-performance talks, a podcast and a book for general readers. Accessible yet authoritative, her research on the historical contexts of Puccini's operas has transformed the way in which they are written about for a general audience, challenging outdated stereotypes. Her work has deepened audience understanding, particularly of Puccini's lesser-known works, encouraging audiences to explore other unfamiliar repertory. It has helped both operatic newcomers and seasoned audience members to engage more effectively with the art-form as a whole and influenced the way in which opera is written about in the media.
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In: Journal of church and state: JCS, Band 55, Heft 1, S. 156-158
ISSN: 0021-969X
In: Public opinion quarterly: journal of the American Association for Public Opinion Research, Band 74, Heft 2, S. 344-357
ISSN: 0033-362X