Search

Water soft paths begin from the vision that future water management has more to gain from reducing demand than from increasing supply. This article reviews three case studies of water soft path analysis in small urban areas in Canada, and one study of an urban planning process incorporating soft path concepts. The analytical studies indicate how communities can avoid the need for expansion of water infrastructure with negligible impacts on lifestyles or livelihoods. The planning study demonstrates that it is possible to introduce water soft paths early in a review, and that this will stimulate more ecologically sensitive thinking among citizens, officials and political leaders. Similar conclusions can be expected from soft path studies in urban areas elsewhere in the developed world. [ABSTRACT FROM AUTHOR]

The current study extends past work on water soft path analysis in breadth and in depth: in breadth by studying an area devoted to large-scale prairie agriculture, and in depth by adding direct interaction with water managers and citizens of the Pembina Valley Conservation District in the Province of Manitoba, Canada. The main conclusion from the study is that the region can continue to be a prosperous and attractive place in which to live and to farm for at least 30 years without a single additional drop of water. [ABSTRACT FROM PUBLISHER]

The best way to achieve a sustainable future for fresh water is to develop decision-making processes, institutions, and technologies that emphasize both efficiency and conservation. These two terms are commonly treated as synonyms, but, respectively, they reflect anthropogenic and ecological bases for making decisions. Recognizing that both perspectives are valid, this article outlines a new approach to water planning and management called the water soft path. This approach differs fundamentally from conventional, supply-based approaches. The article reviews the transfer of the original soft path concept from energy to water, and summarizes the first applications of water soft path analytics to specific geographic areas: one urban area, one province, and one watershed in Canada. The article concludes with suggestions for further research, as well as steps to improve recognition of the water soft path as a planning tool that can move management and policies towards economic, ecological, and social sustainability. [ABSTRACT FROM AUTHOR]

The “soft path” for water is a concept for long-range planning that includes quantitative and qualitative methods to design options for freshwater policy that are economically feasible, environmentally sustainable and socially responsive. A soft path approach offers the potential for greater water savings than conventional demand management because it challenges assumptions based on routine planning and neoclassical economics that limit demand management mainly to cost-effective efficiency measures. This article gives an overview of soft path analytics, including its potential and its limitations, as illustrated by case studies undertaken in Canada. [ABSTRACT FROM AUTHOR]

Unlabelled: We have recently completed a large 6-(18)F-fluoro-L-DOPA ((18)F-DOPA) PET study comparing rates of loss of dopamine terminal function in Parkinson's disease (PD) patients taking either the dopamine agonist ropinirole or L-DOPA. This trial involved a "distributed acquisition/centralized analysis" method, in which (18)F-DOPA images were acquired at 6 different PET centers around the world and then analyzed at a single site. To our knowledge, this is the first time such a centralized approach has been employed with (18)F-DOPA PET and this descriptive basic science article outlines the methods used., Methods: One hundred eighty-six PD patients were randomized (1:1) to ropinirole or L-DOPA therapy, and (18)F-DOPA PET was performed at baseline and again at 2 y. The primary outcome measure was the percentage change in putamen (18)F-DOPA influx rate constant (K(i)) from Patlak graphical analysis. Dynamic images were acquired and reconstructed using each center's individual protocols before being transferred to the site performing the central analysis. Once there, individual parametric K(i) images were created using a single analysis program without file formats being transformed from the original. Parametric images were then normalized to standard space and K(i) values extracted with a region of interest analysis. Significant K(i) changes were also localized at a voxel level with statistical parametric mapping. These processes required numerous checks to ensure the integrity of each dataset., Results: Three hundred twenty-five (170 baseline, 155 follow-up) dynamic PET datasets were acquired, of which 12 were considered uninterpretable due to missing time frames, radiopharmaceutical problems, lack of measured attenuation correction, or excessive head movement. In those datasets suitable for central analysis, after quality control and spatial normalization of the images had been applied, putamen (18)F-DOPA signal decline was found to be significantly (one third) slower in the ropinirole group compared with that of the L-DOPA group., Conclusion: Paired (18)F-DOPA-PET images acquired from multiple sites can be successfully analyzed centrally to assess the efficacy of potential disease-modifying therapies in PD. However, numerous options must be considered and data checks put in place before adopting such an approach. Centralized analysis offers the potential for improved detection of outcomes due to the standardization of the analytic approach and allows the analysis of large numbers of PET studies.