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PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0257451
Author(s):  
Małgorzata Gałązka-Sobotka ◽  
Aldona Frączkiewicz-Wronka ◽  
Iwona Kowalska-Bobko ◽  
Hanna Kelm ◽  
Karolina Szymaniec-Mlicka

Hospital Based Health Technology Assessment (HB-HTA) is a new policy implemented in Poland to allow for a more practical and contextualized assessment related to the use of specific medical procedures, devices, or equipment. It requires changes in governance relating to the healthcare sector. One of the forms of governance improvement is to involve society in the process of creating public services. This can be implemented, e.g., by applying the pragmatic model of public responsiveness. The aim of this research was to identify and analyze forces which will shape a dynamic process in determining the implementation of HB-HTA. The results obtained in the Gioia analysis led to the identification of the main forces driving and restraining the implementation of HB-HTA. The grouping and interpretation allowed for the twelve most important dimensions to be distinguished, which were recognized as conceptual categories necessary to build theories that describe the studied phenomenon. This study contributes to the development of the idea of responsiveness in public management theory and in health care services, and ultimately helps to better enable the adjustment of health services to the dynamically changing needs of Polish society.


Author(s):  
Erya Yang

AbstractThis paper incorporates fairness constraints into the classic single-unit reduced-form implementation problem (Border in Economet J Econ Soc, 59(4):1175–1187, 1991, Econ Theory 31(1):167–181, 2007; Che et al. in Econometrica 81(6): 2487–2520, 2013; Manelli and Vincent in Econometrica, 78(6):1905–1938, 2010) with two agents. To do so, I use a new approach that utilizes the results from Kellerer (Math Ann 144(4):323–344, 1961) and Gutmann et al. (Ann Prob 19:1781–1797, 1991). Under realistic assumptions on the constraints, the conditions are transparent and can be verified in polynomial time.


2021 ◽  
Vol 194 ◽  
pp. 105261
Author(s):  
Jean-François Laslier ◽  
Matías Núñez ◽  
M. Remzi Sanver

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 328
Author(s):  
Mikulas Huba ◽  
Damir Vrancic

The paper investigates and explains a new simple analytical tuning of proportional-integrative-derivative (PID) controllers. In combination with nth order series binomial low-pass filters, they are to be applied to the double-integrator-plus-dead-time (DIPDT) plant models. With respect to the use of derivatives, it should be understood that the design of appropriate filters is not only an implementation problem. Rather, it is also critical for the resulting performance, robustness and noise attenuation. To simplify controller commissioning, integrated tuning procedures (ITPs) based on three different concepts of filter delay equivalences are presented. For simultaneous determination of controller + filter parameters, the design uses the multiple real dominant poles method. The excellent control loop performance in a noisy environment and the specific advantages and disadvantages of the resulting equivalences are discussed. The results show that none of them is globally optimal. Each of them is advantageous only for certain noise levels and the desired degree of their filtering.


2021 ◽  
Author(s):  
Michael L. Smith ◽  
Alexander Hiland

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Fitriana Mahmudah

The purpose of the classroom action research is to improve the student problem solving ability of fourth grade elementary school Lambangan 2 with implementation Problem Based Learning. This research is a classroom action research with 19 students as a subject. This research lasted for 2 cycle, each cycle consist of 4 stages are planning, action, observation, and reflection. The independent variable in this research is Problem Based Learning assisted by square puzzle. While the dependent variable is problem solving ability. Data collection techniques used is observation, interview, test, and documentation. The data was analyzed quantitative. The result showed improvement  problem solving ability in cycle I and cycle II, that is with percentage of classical learning completeness equal 63,15% in cycle I to 84,21% in cycle II.


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