Reassessing school effectiveness: Multi-objective value-added measures (MOVAM) of academic and socioemotional learning

2021 ◽  
Vol 68 ◽  
pp. 100972
Author(s):  
Jaekyung Lee ◽  
Taeyoung Kim ◽  
Mengchen Su
1994 ◽  
Vol 1 (3) ◽  
pp. 315-332 ◽  
Author(s):  
Peter Mortimore ◽  
Pam Sammons ◽  
Sally Thomas

2019 ◽  
Vol 15 (1) ◽  
Author(s):  
P. Saravana Pandian ◽  
S. Sindhanai Selvan ◽  
A. Subathira ◽  
S. Saravanan

Abstract Waste generated from industrial processing of seafood is an enormous source of commercially valuable proteins. One among the underutilized seafood waste is shrimp waste, which primarily consists of head and carapace. Litopenaeus vannamei (L. vannamei) is the widely cultivated shrimp in Asia and contributes to 90 % of aggregate shrimp production in the world. This work was focused on extraction as well as purification of value-added proteins from L. vannamei waste in a single step aqueous two phase system (ATPS). Polyethylene glycol (PEG) and trisodium citrate system were chosen for the ATPS owing to their adequate partitioning and less toxic nature. Response surface methodology (RSM) was implemented for the optimization of independent process variables such as PEG molecular weight (2000 to 6000), pH (6 to 8) and temperature (25 to 45 °C). The results obtained from RSM were further validated using a Multi-objective genetic algorithm (MGA). At the optimized condition of PEG molecular weight 2000, pH 8 and temperature 35 °C, maximum partition coefficient and protein yield were found to be 2.79 and 92.37 %, respectively. Thus, L. vannamei waste was proved to be rich in proteins, which could be processed industrially through cost-effective non-polluting ATPS extraction, and RSM coupled MGA could be a potential tool for such process optimization.


Author(s):  
L. Mandow ◽  
J. L. Perez-de-la-Cruz ◽  
N. Pozas

AbstractThis paper addresses the problem of approximating the set of all solutions for Multi-objective Markov Decision Processes. We show that in the vast majority of interesting cases, the number of solutions is exponential or even infinite. In order to overcome this difficulty we propose to approximate the set of all solutions by means of a limited precision approach based on White’s multi-objective value-iteration dynamic programming algorithm. We prove that the number of calculated solutions is tractable and show experimentally that the solutions obtained are a good approximation of the true Pareto front.


2020 ◽  
pp. 1-23
Author(s):  
HALIT YANIKKAYA ◽  
ABDULLAH ALTUN

This study compares the impacts of gross trade openness measures with trade openness in value-added measures on economic growth for the years 1995–2014 by employing a dynamic panel data estimation. Our findings suggest that although gross trade shares promote growth, using value-added trade shares magnifies this positive effect. Compared with gross terms, estimates also imply that while exports in value-added terms have much larger growth effect, imports in value-added terms have no significant impact. We then evaluate the impacts of tariffs on growth in terms of gross trade and trade in value added separately. Although our results imply the negative growth effects of gross import tariffs, this negative impact disappears for tariffs in value-added terms. These results reaffirm that trade protectionism has potential to lower global growth through reducing exports because it is clear that export shares regardless of their measurements and disaggregation levels promote growth. Our results indicate that countries should support not only exports of final products but also exports of intermediates. However, given the necessity of imports for exports, our results do not lend any evidence to discourage overall imports.


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