Engagement-Capable Environments – No Less Challenging than other Large System Changes

2017 ◽  
Vol 17 (2) ◽  
pp. 40-45 ◽  
Author(s):  
Carole Estabrooks
Keyword(s):  
2006 ◽  
Vol 21 (3) ◽  
pp. 261-267 ◽  
Author(s):  
ENO THERESKA ◽  
DUSHYANTH NARAYANAN ◽  
GREGORY R. GANGER

Today, management and tuning questions are approached using if… then… rules of thumb. This reactive approach requires expertise regarding system behavior, making it difficult to deal with unforeseen uses of a system’s resources and leading to system unpredictability and large system management overheads. We propose a What…if… approach that allows interactive exploration of the effects of system changes, thus converting complex tuning problem into simpler search problems. Through two concrete management problems, automating system upgrades and deciding on service migrations, we identify system design changes that enable a system to answer What…if… questions about itself.


2020 ◽  
Vol 86 (1) ◽  
pp. 64-72
Author(s):  
D.A Bakieva ◽  

The article outlines the need to create a new didactic model of museum education activities, which will form the basis for its interaction with school. This need arises from visitors’ personality alternations, which cause education system changes as well as changes in the principal functions of the museum. The new model of school-museum interaction is based on a sociocultural approach, which is considered to be a methodological basis for education activities. . The new form of interaction involves the introduction of new didactic tools into museum education activities.


2011 ◽  
Vol 2011 ◽  
pp. 1-20 ◽  
Author(s):  
Chun-xia Dou ◽  
Zhi-sheng Duan ◽  
Xing-bei Jia ◽  
Xiao-gang Li ◽  
Jin-zhao Yang ◽  
...  

A delay-dependent robust fuzzy control approach is developed for a class of nonlinear uncertain interconnected time delay large systems in this paper. First, an equivalent T–S fuzzy model is extended in order to accurately represent nonlinear dynamics of the large system. Then, a decentralized state feedback robust controller is proposed to guarantee system stabilization with a prescribedH∞disturbance attenuation level. Furthermore, taking into account the time delays in large system, based on a less conservative delay-dependent Lyapunov function approach combining with linear matrix inequalities (LMI) technique, some sufficient conditions for the existence ofH∞robust controller are presented in terms of LMI dependent on the upper bound of time delays. The upper bound of time-delay and minimizedH∞performance index can be obtained by using convex optimization such that the system can be stabilized and for all time delays whose sizes are not larger than the bound. Finally, the effectiveness of the proposed controller is demonstrated through simulation example.


Author(s):  
Orla Fitzpatrick ◽  
Roisin Ní Dhonaill ◽  
Anna Linehan ◽  
Zac Coyne ◽  
Maeve Hennessy ◽  
...  

Abstract Background The first confirmed case of COVID-19 in Ireland was on February 29th 2020. From March until late April, the number of cases increased exponentially. The delivery of anti-cancer therapy during the COVID-19 pandemic was extremely challenging. In order to balance the benefits of continuing anti-cancer therapy with the associated increased hospital visits, combined with the risk of COVID-19 infection, we undertook a series of system changes in the delivery of cancer care. Methods Patients who attended our dayward over a 4-month period were included. Data were obtained from patient and chemotherapy prescribing records. Patients were screened for symptoms of COVID-19 at two separate timepoints: prior to their visit via telephone, and using a symptom questionnaire on arrival at the hospital. If patients displayed COVID-19 symptoms, they were isolated and a viral swab arranged. Results A total of 456 patients attended from January 1st to April 30th. The numbers of visits from January to April were 601, 586, 575, and 607, respectively. During this period, there were 2369 patient visits to the dayward and 1953 (82%) intravenous regimens administered. Of the 416 visits that did not lead to treatment, 114 (27%) were scheduled non-treatment review visits, 194 (47%) treatments were held due to disease-related illness, and 108 (26%) treatments were held due to treatment-related complications. Screening measurements were implemented on March 18th due to rising COVID-19 prevalence in the general population. Overall, 53 treatments were held due to the screening process: 19 patients (36%) elicited COVID-19 symptoms via telephone screening; 34 patients (64%) were symptomatic in our pre-assessment area and referred for swabs, of which 4 were positive. Those with a negative swab were rescheduled for chemotherapy the following week. Conclusions With careful systematic changes, safe and continued delivery of systemic anti-cancer therapy during the COVID-19 pandemic is possible.


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