scholarly journals Dynamic Resources Allocation for Delivery of Personalized Services

2010 ◽  
pp. 17-28 ◽  
Author(s):  
Adam Grzech ◽  
Paweł Świątek ◽  
Piotr Rygielski
Keyword(s):  
Resources Allocation ◽  
Personalized Services

The Role of Chess in the Intellectual Development of Childrens from Primary School

2019 ◽  
pp. 58-62
Author(s):  
Vlad Stegariu ◽  
Simona Andreea Popușoi ◽  
Beatrice Abălașei ◽  
Nicolae Lucian Voinea ◽  
Ioan Stelescu ◽  
...  
Keyword(s):  
Cognitive Development ◽  
Primary School ◽  
Intellectual Development ◽  
Resources Allocation ◽  
Control Group ◽  
Cognitive Resources ◽  
One Year ◽  
Better Than ◽  
Chess Playing

Chess playing has a significant role in participants’ resources allocation, both at a psychological level, but mostly concerning the cognitive resources. The aim of the present study was to examine the effect of chess playing on the intellectual development of primary-class students. 67 children were tested using the Raven Standard Progressive Matrices and were distributed in three different groups according to their experience with chess, namely: the control group (formed by students with no experience with chess playing), the beginners group (students with less than one year in chess playing training) and the advanced group (children with more than two years experience with chess). Results indicated that chess playing had a significant effect on the SPM performance, indicating that those in the advanced group performed significantly better than those in the control or in the beginners group. Conclusions of this study tap into the benefits of playing chess with a focus on the children’s’ cognitive development.

scholarly journals Weighted Bankruptcy Rules and Transboundary Water Resources Allocation

2015 ◽  
Vol 29 (7) ◽  
pp. 2303-2321 ◽  
Author(s):  
Hojjat Mianabadi ◽  
Erik Mostert ◽  
Saket Pande ◽  
Nick van de Giesen
Keyword(s):  
Water Resources ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Transboundary Water ◽  
Transboundary Water Resources

Dynamic Cloud Resources Allocation

2019 ◽  
Author(s):  
Saad Sultan ◽  
Abdullah Asad ◽  
M. Abubakar ◽  
Suleman Khalid ◽  
Shahab Ahmed ◽  
...  
Keyword(s):  
Resources Allocation ◽  
Cloud Resources

scholarly journals When Scarcity Meets Disparity: “Resources Allocation and COVID-19 Patients with Diabetes”

2021 ◽  
pp. 193229682199111
Author(s):  
Jacob M. Appel
Keyword(s):  
Risk Factors ◽  
Resource Allocation ◽  
Life Expectancy ◽  
Ethical Challenge ◽  
Severe Illness ◽  
Resources Allocation ◽  
Economic Disparity ◽  
Patients With Diabetes ◽  
Current Stage

The COVID-19 pandemic raised distinct challenges in the field of scarce resource allocation, a long-standing area of inquiry in the field of bioethics. Policymakers and states developed crisis guidelines for ventilator triage that incorporated such factors as immediate prognosis, long-term life expectancy, and current stage of life. Often these depend upon existing risk factors for severe illness, including diabetes. However, these algorithms generally failed to account for the underlying structural biases, including systematic racism and economic disparity, that rendered some patients more vulnerable to these conditions. This paper discusses this unique ethical challenge in resource allocation through the lens of care for patients with severe COVID-19 and diabetes.

Application of Complex Adaptive System Theory to Water Resources Allocation in Dianchi Basin

2012 ◽  
Vol 212-213 ◽  
pp. 536-542
Author(s):  
Qiong Su ◽  
Shi Hua He
Keyword(s):  
System Theory ◽  
Water Resources ◽  
Adaptive System ◽  
Complex Adaptive System ◽  
Resources Allocation ◽  
Water Resources Allocation ◽  
Evolutionary Mechanisms ◽  
Reservoir Water ◽  
Allocation System ◽  
Complex Adaptive

Based on complex adaptive system theory, the characteristics of water resources allocation system of river basin are analyzed. Evolutionary mechanisms and process of complex adaptive water resources allocation system in Dianchi basin are researched, and also characteristics of "learning". A complex adaptive system model of water-resource allocation is established during analyzing the influence factors and the reaction rules of water consumer agents and water provider agents. And based on this model, water resources in Dianchi basin is allocated only under Dianchi water provider and Zhangjiu river Yunlong reservoir water provider by using the platform of matlab. Finally, corresponding calculation results and conclusions are concluded.

scholarly journals Privacy vs. Reward in Indoor Location-Based Services

2016 ◽  
Vol 2016 (4) ◽  
pp. 102-122 ◽  
Author(s):  
Kassem Fawaz ◽  
Kyu-Han Kim ◽  
Kang G. Shin
Keyword(s):  
Location Privacy ◽  
Indoor Localization ◽  
Service Providers ◽  
Location Based Services ◽  
Location Information ◽  
Privacy Concerns ◽  
Indoor Location ◽  
Location Data ◽  
Personalized Services ◽  
Privacy Risks

AbstractWith the advance of indoor localization technology, indoor location-based services (ILBS) are gaining popularity. They, however, accompany privacy concerns. ILBS providers track the users’ mobility to learn more about their behavior, and then provide them with improved and personalized services. Our survey of 200 individuals highlighted their concerns about this tracking for potential leakage of their personal/private traits, but also showed their willingness to accept reduced tracking for improved service. In this paper, we propose PR-LBS (Privacy vs. Reward for Location-Based Service), a system that addresses these seemingly conflicting requirements by balancing the users’ privacy concerns and the benefits of sharing location information in indoor location tracking environments. PR-LBS relies on a novel location-privacy criterion to quantify the privacy risks pertaining to sharing indoor location information. It also employs a repeated play model to ensure that the received service is proportionate to the privacy risk. We implement and evaluate PR-LBS extensively with various real-world user mobility traces. Results show that PR-LBS has low overhead, protects the users’ privacy, and makes a good tradeoff between the quality of service for the users and the utility of shared location data for service providers.

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