The Liver and Intestinal Allocation Policy: Decades of Disparity Calling for Action

2021 ◽  
Author(s):  
Douglas G. Farmer ◽  
Kareem Abu‐Elmagd
Keyword(s):  
Allocation Policy

Water in the economy of Tamil Nadu, India: more flexible water allocation policies offer a possible way out of water-induced economic stagnation and will be good for the environment and the poor

Water Policy ◽  
2006 ◽  
Vol 8 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Ramesh Bhatia ◽  
John Briscoe ◽  
R. P. S. Malik ◽  
Lindy Miller ◽  
Smita Misra ◽  
...  
Keyword(s):  
Water Allocation ◽  
Water Policy ◽  
Tamil Nadu ◽  
Economic Value ◽  
The State ◽  
Allocation Policy ◽  
Rural And Urban ◽  
State Income ◽  
Important Exception ◽  
The Impact

The state of Tamil Nadu, India, is in the grips of a water crisis, with demand far outstripping supply. As the economy of the state grows, this crisis is going to become ever more serious. To date the focus of state water policy has been on trying to augment supplies, from within the state (even from desalinization) and from neighboring states. In addition, the water use is regulated in a way that does not encourage the highest value uses. International experience shows that supply-side measures must be complemented by demand-side measures and that practice must move away from fixed, command-and-control allocation policies towards flexible allocation mechanisms, which facilitate the voluntary movement of water from low to high-value uses. This study addresses the question of whether such a change in allocation policies is worth doing. It addresses this question by developing optimization models for each of the 17 river basins in Tamil Nadu (including an assessment of the economic value of water in different end-uses – agriculture, domestic and industry), then using an input–output model embedded in a social accounting matrix (SAM), to assess the impact of these changes on the state economy and on different rural and urban employment groups. The results suggest that a shift to a flexible water allocation system would bring major environmental, economic and social benefits to the state. Compared with the current “fixed sectoral allocation” policy, a flexible allocation policy would, in 2020, result in 15% less overall water used; 24% less water pumped from aquifers; 20% higher state income; with all strata, rich and poor, benefiting similarly, with one important exception, that of agricultural laborers.

Translanguaging design in a third grade Chinese Language Arts class

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zhongfeng Tian
Keyword(s):  
Language Arts ◽  
Bilingual Education ◽  
Participatory Design ◽  
Dual Language ◽  
Design Research ◽  
Chinese Language ◽  
Bilingual Learners ◽  
Allocation Policy ◽  
Link Type ◽  
Dual Language Bilingual Education

Abstract Traditionally strict language separation policies in dual language bilingual education (DLBE) programs reflect parallel monolingualism and have been criticized as failing to recognize the sociolinguistic realities of bilingual students (García, Ofelia & Angel M. Y. Lin. 2017. Translanguaging in bilingual education. In Ofelia García, Angel M. Y. Lin & Stephen May (eds.), Bilingual and multilingual education, 117–130. Cham: Springer International Publishing). To recognize the dynamic nature of bilingualism and leverage bilingual learners’ full semiotic and linguistic repertoire as a resource, this study looks at how to strategically and purposefully develop flexible and multilingual educational spaces in a third grade Chinese Language Arts (CLA) class in a Mandarin-English DLBE program in the New England area, U.S. Drawing upon Sánchez, María Teresa (Maite), Ofelia García & Cristian Solorza. 2018. Reframing language allocation policy in dual language bilingual education. Bilingual Research Journal 41(1). 37–51. https://doi.org/10.1080/15235882.2017.1405098, translanguaging allocation policy framework, the researcher and the teacher co-designed and implemented translanguaging documentation, translanguaging rings, and translanguaging transformation spaces in the CLA class throughout the school year of 2018–19. Taking the form of participatory design research (Bang, Megan & Shirin Vossoughi. 2016. Participatory design research and educational justice: Studying learning and relations within social change making. Cognition and Instruction 34(3). 173–193. https://doi.org/10.1080/07370008.2016.1181879), this collaborative inquiry demonstrates that translanguaging pedagogies could promote student engagement, contribute to their academic learning, and build home-school connections. It aims to provide authentic, sustainable knowledge for both researchers and practitioners to better serve bilingual learners in DLBE programs.

scholarly journals Insights into the Impact of Modifications Made to Adult Heart Allocation Policy in the US at 18-months

2021 ◽  
Vol 40 (4) ◽  
pp. S224
Author(s):  
K. Bradbrook ◽  
K. Lindblad ◽  
R.R. Goff ◽  
R. Daly ◽  
S. Hall
Keyword(s):  
Allocation Policy ◽  
Adult Heart ◽  
The Us ◽  
The Impact

scholarly journals The impact of predictability on dual-task performance and implications for resource-sharing accounts

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Laura Broeker ◽  
Harald Ewolds ◽  
Rita F. de Oliveira ◽  
Stefan Künzell ◽  
Markus Raab
Keyword(s):  
Resource Allocation ◽  
Task Performance ◽  
Dual Task ◽  
Resource Sharing ◽  
Visual Information ◽  
Allocation Policy ◽  
Capacity Sharing ◽  
Dual Task Performance ◽  
Sound Sequence ◽  
The Impact

AbstractThe aim of this study was to examine the impact of predictability on dual-task performance by systematically manipulating predictability in either one of two tasks, as well as between tasks. According to capacity-sharing accounts of multitasking, assuming a general pool of resources two tasks can draw upon, predictability should reduce the need for resources and allow more resources to be used by the other task. However, it is currently not well understood what drives resource-allocation policy in dual tasks and which resource allocation policies participants pursue. We used a continuous tracking task together with an audiomotor task and manipulated advance visual information about the tracking path in the first experiment and a sound sequence in the second experiments (2a/b). Results show that performance predominantly improved in the predictable task but not in the unpredictable task, suggesting that participants did not invest more resources into the unpredictable task. One possible explanation was that the re-investment of resources into another task requires some relationship between the tasks. Therefore, in the third experiment, we covaried the two tasks by having sounds 250 ms before turning points in the tracking curve. This enabled participants to improve performance in both tasks, suggesting that resources were shared better between tasks.

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