A prospective, mixed-methods, before and after study to identify the evidence base for the core components of an effective Paediatric Early Warning System and the development of an implementation package containing those core recommendations for use in the UK: Paediatric early warning system – utilisation and mortality avoidance– the PUMA study protocol

The sharia insurance industry in 2019 experienced a slowdown, as seen from the indicators of assets, contributions and gross claims. In the sharia insurance industry, the only company that has gone public is PT Asuransi Jiwa Syariah Jasa Mitra Abadi Tbk. This study aims to determine how the company's financial performance is, and to find out whether there are differences in the company's financial performance before and after going public for the 2015-2019 period. The research method used is financial ratio analysis using the Early Warning System (EWS) and Risk Based Capital (RBC) methods. The data analysis method used is a comparative descriptive analysis with a quantitative approach. The results showed that the company's financial performance after going public did not improve significantly.

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Development and Optimization of NoSQL Database in Food Insecurity Early Warning System Based on Local Community Participation

Kinetik Game Technology Information System Computer Network Computing Electronics and Control ◽

10.22219/kinetik.v5i2.1048 ◽

2020 ◽

pp. 161-168

Author(s):

Yani Nurhadryani ◽

Wiradani Ramadhan ◽

Auzi Asfarian

Keyword(s):

Response Time ◽

Food Insecurity ◽

Early Warning ◽

Early Warning System ◽

Local Community ◽

Warning System ◽

Large Area ◽

Nosql Database ◽

Before And After ◽

Database Service

As a part of the food insecurity early warning system based on local participation, a robust and scalable database service is required. This necessity caused by the large area of services which include 34 provinces, 416 districts, 7,215 sub-districts and 80,534 villages in Indonesia. The abundant number of the expected daily transaction might not be handled properly using the traditional model. In this research, we design, implement, and optimize the NoSQL database to create scalable, dynamic, and flexible database service for the early warning system. The cohesion of the model is then measured, resulting in 5 entities with high cohesion, 16 with moderate cohesion, and 3 with low cohesion. After refactoring, we reduced the number of the low-cohesion entity into one and increased the average cohesion from 0.62 to 0.67. An empirical experiment was conducted to compare the response time before and after the refactoring. As the results, the average response time is decreased from 11.0 ms to 7.99 ms or equal to 1.38 in speedup. The experiment results suggest there is an impact of the logical data model improvement, by increasing their cohesion, to the performance of the NoSQL database.

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Characteristics and Outcomes of Pediatric Rapid Response Teams Before and After Mandatory Triggering by an Elevated Pediatric Early Warning System (PEWS) Score

Hospital Pediatrics ◽

10.1542/hpeds.2013-0062 ◽

2014 ◽

Vol 4 (3) ◽

pp. 135-140 ◽

Cited By ~ 17

Author(s):

R. Panesar ◽

L. A. Polikoff ◽

D. Harris ◽

B. Mills ◽

C. Messina ◽

...

Keyword(s):

Early Warning ◽

Early Warning System ◽

Warning System ◽

Rapid Response ◽

Rapid Response Teams ◽

Before And After

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The Difficulty in Engaging the Engaged: Administrative Adaptation to the Early Warning System within the UK Houses of Parliament

Journal of Contemporary European Research ◽

10.30950/jcer.v17i3.1165 ◽

2021 ◽

Vol 17 (3) ◽

Author(s):

Nandor Revesz

Keyword(s):

Early Warning ◽

Early Warning System ◽

Warning System ◽

Primary User ◽

House Of Commons ◽

Structured Interviews ◽

Behavioural Adaptation ◽

House Of Lords ◽

Lower Chamber ◽

The Uk

This article applies a mixed-methods approach through semi-structured interviews and document analysis to provide a comprehensive account of administrative and behavioural adaptation within the UK Houses of Parliament (HoP) to the EU’s subsidiarity monitoring mechanism, the Early Warning System (EWS). The article also tests theoretical assumptions regarding the adaptation and use of the EWS on this basis, confirming that Eurosceptic MPs bolster the use of the EWS and finding that the HoP are an outlier among bicameral legislatures, as the lower chamber was the primary user of the EWS. Overall, results demonstrate that both the House of Commons and the House of Lords treated the EWS as an optional bolt-on when adapting to the mechanism. Furthermore, the EWS did not encourage the HoP to increase engagement with UK devolved legislatures, but the mechanism contributed to the mainstreaming of EU scrutiny in the case of the Welsh and Scottish legislatures.

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Development and Optimization of NoSQL Database in Food Insecurity Early Warning System Based on Local Community Participation

Kinetik Game Technology Information System Computer Network Computing Electronics and Control ◽

10.22219/kinetik.v0i0.1048 ◽

2020 ◽

Vol 5 (2) ◽

Author(s):

Yani Nurhadryani ◽

Wiradani Ramadhan ◽

Auzi Asfarian

Keyword(s):

Response Time ◽

Food Insecurity ◽

Early Warning ◽

Early Warning System ◽

Local Community ◽

Warning System ◽

Large Area ◽

Nosql Database ◽

Before And After ◽

Database Service

As a part of the food insecurity early warning system based on local participation, a robust and scalable database service is required. This necessity caused by the large area of services which include 34 provinces, 416 districts, 7,215 sub-districts and 80,534 villages in Indonesia. The abundant number of the expected daily transaction might not be handled properly using the traditional model. In this research, we design, implement, and optimize the NoSQL database to create scalable, dynamic, and flexible database service for the early warning system. The cohesion of the model is then measured, resulting in 5 entities with high cohesion, 16 with moderate cohesion, and 3 with low cohesion. After refactoring, we reduced the number of the low-cohesion entity into one and increased the average cohesion from 0.62 to 0.67. An empirical experiment was conducted to compare the response time before and after the refactoring. As the results, the average response time is decreased from 11.0 ms to 7.99 ms or equal to 1.38 in speedup.The resulting database is then used as a part of database services in our early warning system.

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Early‐warning system for crisis in SMEs: preliminary evidence from Finland and the UK

Journal of Small Business and Enterprise Development ◽

10.1108/eum0000000006665 ◽

1999 ◽

Vol 6 (1) ◽

pp. 89-102 ◽

Cited By ~ 17

Author(s):

Erkki K. Laitinen ◽

H. Gin Chong

Keyword(s):

Early Warning ◽

Early Warning System ◽

Warning System ◽

Preliminary Evidence ◽

The Uk

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Reducing the health risks of severe winter weather among older people in the United Kingdom: an evidence-based intervention

Ageing and Society ◽

10.1017/s0144686x09990298 ◽

2009 ◽

Vol 30 (2) ◽

pp. 275-297 ◽

Cited By ~ 11

Author(s):

CLAIRE GASCOIGNE ◽

KEVIN MORGAN ◽

HARRIET GROSS ◽

JAMES GOODWIN

Keyword(s):

United Kingdom ◽

Older People ◽

Health Risks ◽

Early Warning ◽

Early Warning System ◽

Warning System ◽

Severe Winter ◽

Winter Weather ◽

The United Kingdom ◽

The Uk

ABSTRACTExcess winter morbidity and mortality among older people remain significant public health issues in those European countries which experience relatively mild winter temperatures, particularly the United Kingdom (UK), Ireland, Portugal and Spain. In the UK, episodes of severe winter weather, when ambient temperatures fall below 5° C, are associated with peaks in general practitioner consultations, hospital admissions, and cardiovascular deaths among those aged over 65. While research indicates that such health risks could be substantially reduced by the adoption of appropriate behavioural strategies, accessible and credible advice on how older people can reduce risk during ‘cold snaps’ is lacking. This paper describes a programme of research that aimed: (a) to translate the relevant scientific literature into practical advice for older people in order to reduce health risk during episodes of severe winter weather; and (b) to integrate this advice with a severe winter weather ‘Early Warning System’ developed by the UK Met Office. An advice booklet was generated through a sequential process of systematic review, consensus development, and focus group discussions with older people. In a subsequent field trial, a combination of the Met Office ‘Early Warning System’ and the advice booklet produced behavioural change among older people consistent with risk reduction. The results also show that long-held convictions about ‘healthy environments’ and anxieties about fuel costs are barriers to risk reduction.

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