86. Al-Tariq/The Star of Brilliant Brightness
I/We begin by the Blessed Name of Allah
The Immensely Merciful to all, The Infinitely Compassionate to everyone.
86:01
a. By the celestial realm and the Tariq.
86:02
a. And what may enable you to comprehend the Tariq?
86:03
a. Tariq is the star of brilliant brightness before dawn.
86:04
a. There is a guardian angel set up over every human being.
86:05
a. So let every human being reflect of what insignificant substance he is created -
86:06
a. - he is created out of a mingling of seminal and ovarian spurting fluid,
86:07
a. emerging from between the male’s hip and the female’s pelvis.
86:08
a. Surely, HE is Able to bring him back to life-
86:09
a. - at the Time when all secrets of his deeds, dealings and speech will be exposed and judged,
86:10
a. then he will have no power to hide them, and
b. no supporter to help him avoid the consequences.
86:11
a. By the sky clouds giving rain, time and again,
86:12
a. and the land/earth too splitting time and again -
b. for gushing of springs and growth of vegetation.
c. and human beings during the Time of Resurrection.
728 Surah 86 * Al-Tariq
86:13
a. Indeed, this - Qur’an - is the Decisive Word!
86:14
a. And it is not for amusement.
86:15
a. Indeed, they are devising a plot/false arguments against The Prophet,
86:16
Background No review consolidating available evidence of the various interventions for preventing MERS-CoV transmission in healthcare settings has been published to inform practice. The MERS-CoV outbreak in Saudi Arabia led to wide-scale hospitalisations and, among other individuals at risk, healthcare workers (HCW) were one of the most affected groups. This study evaluates the effectiveness of various interventions implemented to prevent MERS-CoV transmission to HCW and MERS-negative patients in Saudi Arabian healthcare settings. Methods This review summarises and evaluates the effectiveness of MERS-CoV infection prevention and control (IPC) measures in Saudi Arabian hospital settings. Instead of using ‘best quality/evidence’ studies, the review has included as many relevant studies as possible. Results Various IPC measures were deemed effective. However, since no analysis of their effectiveness had been undertaken, it was not possible to determine the interventions’ level of effectiveness as applied in hospital settings. The studies appeared to rely on the assumption that the extent of MERS-CoV transmission control observed was a direct reflection of the implemented IPC measures. Conclusions Robust studies, using empirical methods, should be conducted to measure the effectiveness of the various IPC measures developed and implemented to control MERS-CoV transmission
Every software development process either generates or uses measurement data that is essential to understand, evaluate, improve and predict the software processes, products, and resources. Software development organizations implement measurement programs (MPs) as part of their measurement processes. However, implementing successful MPs still remains a challenge. The aim of this thesis is to comprehensively evaluate and then contribute towards planning and implementation issues of MPs. This research is conducted in three phases: 1) problem identification 2) solution design and 3) industrial evaluation of solutions. A mix of qualitative and quantitative research methods is used appropriately for each phase. In the first phase, comprehensive literature reviews of the studies on MPs are conducted to enable a better understanding of the existing measurement planning models, tools, challenges, success factors, and metrics selection methods of implementing MPs in general and specifically for small and medium enterprises (SMEs). In addition, challenges of implementing MPs in large organizations and SMEs are analyzed. In the second phase, multiple solutions are proposed to improve the planning of MPs. The solutions are based on the analysis of research gaps involving the challenges and success factors of implementing MPs. First, a set of key components of MPs is identified for planning a MP. Second, a model of success factors for planning MPs in general is proposed. Third, a model of success factors for planning MPs specifically in SMEs is proposed. Fourth, a model called data-driven measurement for software prediction (D2MSP) is proposed to overcome the challenge of using already collected measurement data for prediction of software attributes e.g., defects. In the third phase, the solutions are evaluated in the software development industry with the help of surveys and empirical data of software projects. A set of key components and a model of success factors are evaluated based on a survey among 200 software professionals working in the Pakistani software development industry. A model of success for planning MPs specifically in SMEs is evaluated based on a survey among 217 software professionals working in SMEs of Pakistan. The D2MSP model is evaluated using a dataset of 760 projects and later applied in a software development organization as a case study. Overall, this research contributes to the theory and practice of software measurement by providing an improved understanding of planning software MPs and proposing and validating models of success factors and the D2MSP model for planning MPs.