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Almost half of those currently employed in the United States are at risk of being put out of work by automation in the next decade or two, according to a 2013 University of Oxford study, which identified transportation, logistics and administrative occupations as the most vulnerable.
The study identified transportation, logistics and administrative jobs as the most vulnerable to automation.
The school identified transportation, steel, iron ore, and electric power as key economic industries.
Women who identified transportation and child care as problems may be less able than others to resolve these issues, perhaps due to lack of resources or a reduced personal capacity.
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The findings are in agreement with previous research [ 5, 7, 10– 18] that shows that birth preparedness is not easy to achieve especially in developing countries, where the majority are relatively poor, few women identify transportation ahead of childbirth, few women put aside funds for transport in case of emergency, and few women are knowledgeable on danger signs or implement BPCR.
The proposal, modeled after a bipartisan bill in the Senate, would take $10 billion in start-up money and identify transportation, water or energy projects that lack funding.
In spite of the developments in better identifying transportation disadvantaged groups, the lack of effective policies resulted in the continuum of the issue as a significant problem.
Zheng et al.[1] analyze GPS logs with graph-based post-processing algorithm to identify transportation modes.
The community interventions undertaken prior to women developing obstetric emergencies included planning for support to give women, sensitizing communities and identifying transportation means to use.
The GIS-based methods used in this study to identify transportation carbon emissions had several advantages over the questionnaire-type data sources commonly relied upon by product life cycle studies.
A technique for identifying transportation-disadvantaged populations, intended for use by local practitioners and designed with their skills and professional routines in mind, was piloted in five rural counties in North Carolina.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com