Results 261 to 270 of about 771,482 (302)
Sustainable Development, EarlyView.ABSTRACT Property rights play a crucial role in protecting natural resources by enhancing individuals' and organizations' awareness of their responsibilities. Social globalization influences environmental sustainability by shaping consumption patterns.
Tunahan Degirmenci +4 more
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Sustainable Development, EarlyView.ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
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Sustainable Development, EarlyView.ABSTRACT Nitrogen (N) application creates negative externalities via nitrate (NO3−) leaching that threatens human health and the emission of nitrous oxide (N2O), a potent greenhouse gas. This study determines socially optimal nitrogen application rates (SONR) for corn and wheat by considering the social costs of both pollutants. The assessment includes
Riza Radmehr, B. Wade Brorsen
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IEEE Trans. Inf. Theory, 1984
Summary: The Markov chain that has maximum entropy for given first and second moments is determined. The solution provides a discrete analog to the continuous Gauss-Markov process.
Jørn Justesen, Tom Høholdt
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Summary: The Markov chain that has maximum entropy for given first and second moments is determined. The solution provides a discrete analog to the continuous Gauss-Markov process.
Jørn Justesen, Tom Høholdt
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2005
Abstract Useful models of the real world have to satisfy two conflicting requirements: they must be sufficiently complicated to describe complex systems, but they must also be sufficiently simple for us to analyse them. This chapter introduces Markov chains, which have successfully modelled a huge range of scientific and social phenomena,
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Abstract Useful models of the real world have to satisfy two conflicting requirements: they must be sufficiently complicated to describe complex systems, but they must also be sufficiently simple for us to analyse them. This chapter introduces Markov chains, which have successfully modelled a huge range of scientific and social phenomena,
openaire +1 more source
1997
Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov ...
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Markov chains are central to the understanding of random processes. This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov ...
openaire +1 more source