Long-Term Global Heating from Energy Usage
نویسندگان
چکیده
منابع مشابه
Aiming Higher: Advancing Public Social Insurance for Long-term Care to Meet the Global Aging Challenge; Comment on “Financing Long-term Care: Lessons From Japan”
Globally, aging populations are driving the demand for long-term care (LTC) services for a growing number of older people with disabilities or chronic illnesses. A key challenge for policy-makers in all countries is to find a comprehensive solution to financing LTC services to make them widely accessible, affordable, and equitable for all in need. In this commentary, we...
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Long-term care (LTC) must be carefully delineated when expenditures are compared across countries because how LTC services are defined and delivered differ in each country. LTC’s objectives are to compensate for functional decline and mitigate the care burden of the family. Governments have tended to focus on the poor but Germany opted to make LTC universally available ...
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The need for long-term care (LTC) represents a “new social risk,” one that overlaps with and complements systems of care that pre-date such programs, complicating LTC program design. This commentary expands on Ikegami’s discussion of how these structural factors must be accommodated, as well as historical and cultural factors that influence public expectations of such a...
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Ikegami reviews the implementation of mandatory long-term care insurance systems in Germany and Japan, which are organized as pay-as-you-go systems. I propose to go one step further and implement a multi-pillar, mandatory and voluntary long-term care financing system, which combines pay-as-you-go with capital-funded elements. The proposal is based on the observation tha...
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Search engines are key components in the online world and the choice of search engine is an important determinant of the user experience. In this work we seek to model user behaviors and determine key variables that affect search engine usage. In particular, we study the engine usage behavior of more than ten thousand users over a period of six months and use machine learning techniques to iden...
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ژورنال
عنوان ژورنال: Eos, Transactions American Geophysical Union
سال: 2008
ISSN: 0096-3941
DOI: 10.1029/2008eo280001