Scalability resilience framework using application-level fault injection for cloud-based software services

This paper presents an investigation into the effect of faults on the scalability resilience of cloud-based software services. The study introduces an experimental framework using the Application-Level Fault Injection (ALFI) to investigate how the faults at the application level affect the scalability resilience and behaviour of cloud-based software services. Previous studies on scalability analysis of cloud-based software services provide a baseline of the scalability behaviour of such services, allowing to conduct in-depth scalability investigation of these services. Experimental analysis on the EC2 cloud using a real-world cloud-based software service is used to demonstrate the framework, considering delay latency of software faults with two varied settings and two demand scenarios. The experimental approach is explained in detail. Here we simulate delay latency injection with two different times, 800 and 1600 ms, and compare the results with the baseline data. The results show that the proposed approach allows a fair assessment of the fault scenario’s impact on the cloud software service’s scalability resilience. We explain the use of the methodology to determine the impact of injected faults on the scalability behaviour and resilience of cloud-based software services.

The Reliability of Ponderal Index in Predicting Short-Term Complications of Small for Gestational Age Term Infants.

The birth weight (BW) for gestational age (GA) ensure a fair assessment of the nutritional status of small for gestational (SGA) infants. Ponderal index (PI) is used to identify wasting. This study aims to evaluate the association between PI values and short-term complications of term SGA infants and evaluate the reliability of PI. A total of 489 term SGA infants were included in this retrospective study. According to the PI values, the neonates were divided into three groups. Group 1 consisted of infants with low PI (PI < 10th percentile) (n=45), group 2 consisted of infants with appropriate PI (PI 10th-90th percentile) (n=405) and the ones with high PI (PI> 90th percentile) (n=39) constituted group 3. Demographic and clinical data of the mothers and neonates including clinical and laboratory assessments were collected and compared statistically. No difference was observed between the groups other than the incidence of hypoglycemia, jaundice requiring treatment and hospitalization rate, which were all significantly higher in low PI group than the group 2 and 3 (p=0.01, p=0.006 and p=0.04, respectively). None of the babies had severe morbidity or died.Conclusion: Although short-term complications were higher in term SGA infants with low PI, all term SGA infants should be defined as high-risk neonates and deserve special neonatal care and surveillance to prevent short-term complications.

Interpreting the other other : assessing refugee claims based on sexual orientation in an anti-refugee climate

This paper investigates some of the challenges in the Canadian refugee determination system facing the fair assessment of refugee claims based on sexual orientation. Relying on the United Nation's Convention definition of refugee, Canada interprets the section "membership of a particular social group," to apply to individuals fearing persecution due to their sexual orientation. This paper reveals the complex nature of refugee determination in cases based on sexual orientation and how decision-makers' Eurocentric conceptions of sexuality, race, gender and nationality, as well as a general anti-refugee climate impede the neutrality of assessment. Relying on personal narratives of those involved with the refugee assessment process, such as past refugee claimants and refugee lawyers, this study reveals the complexity of problems that are inherent in the IRB. Incorporating a critical race perspective allows us to see the damaging effects of Eurocentrism when evaluating multiple identities, such as racialized sexual minorities.

Interpreting the other other : assessing refugee claims based on sexual orientation in an anti-refugee climate

This paper investigates some of the challenges in the Canadian refugee determination system facing the fair assessment of refugee claims based on sexual orientation. Relying on the United Nation's Convention definition of refugee, Canada interprets the section "membership of a particular social group," to apply to individuals fearing persecution due to their sexual orientation. This paper reveals the complex nature of refugee determination in cases based on sexual orientation and how decision-makers' Eurocentric conceptions of sexuality, race, gender and nationality, as well as a general anti-refugee climate impede the neutrality of assessment. Relying on personal narratives of those involved with the refugee assessment process, such as past refugee claimants and refugee lawyers, this study reveals the complexity of problems that are inherent in the IRB. Incorporating a critical race perspective allows us to see the damaging effects of Eurocentrism when evaluating multiple identities, such as racialized sexual minorities.

Program foundations and beginning of concerns (part one of 3). When residents shouldn’t become clinicians: getting a grip on fair and defensible processes for termination of training

Training programs have the dual responsibility of providing excellent training for their learners and ensuring their graduates are competent practitioners. Despite everyone’s best efforts a small minority of learners will be unable to achieve competence and cannot graduate. Unfortunately, program decisions for training termination are often overturned, not because the academic decision was wrong, but because fair assessment processes were not implemented or followed. This series of three articles, intended for those setting residency program assessment policies and procedures, outlines recommendations, from establishing robust assessment foundations and the beginning of concerns (Part One), to established concerns and formal remediation (Part Two) to participating in formal appeals and after (Part Three). With these 14 recommendations on how to get a grip on fair and defensible processes for termination of training, career-impacting decisions that are both fair for the learner and defensible for programs are indeed possible. They are offered to minimize the chances of academic decisions being overturned, an outcome which wastes program resources, poses patient safety risks, and delays the resident finding a more appropriate career path. This article (part one in the series of three) will focus on the foundational aspects of residency training and the emergence of concerns.

The appeal process and beyond (part three of 3). When residents shouldn’t become clinicians: getting a grip on fair and defensible processes for termination of training

Training programs have the dual responsibility of providing excellent training for their learners and ensuring their graduates are competent practitioners. Despite everyone’s best efforts a small minority of learners will be unable to achieve competence and cannot graduate. Unfortunately, program decisions for training termination are often overturned, not because the academic decision was wrong, but because fair assessment processes were not implemented or followed. This series of three articles, intended for those setting residency program assessment policies and procedures, outlines recommendations, from establishing robust assessment foundations and the beginning of concerns (Part One), to established concerns and formal remediation (Part Two) to participating in formal appeals and after (Part Three). With these 14 recommendations on how to get a grip on fair and defensible processes for termination of training, career-impacting decisions that are both fair for the learner and defensible for programs are indeed possible. They are offered to minimize the chances of academic decisions being overturned, an outcome which wastes program resources, poses patient safety risks, and delays the resident finding a more appropriate career path. This article (Part Three in the series of three) will focus on the formal appeals and what to do after the appeal.

Formal remediation and probation (part two of 3). When residents shouldn’t become clinicians: getting a grip on fair and defensible processes for termination of training

Training programs have the dual responsibility of providing excellent training for their learners and ensuring their graduates are competent practitioners. Despite everyone’s best efforts a small minority of learners will be unable to achieve competence and cannot graduate. Unfortunately, program decisions for training termination are often overturned, not because the academic decision was wrong, but because fair assessment processes were not implemented or followed. This series of three articles, intended for those setting residency program assessment policies and procedures, outlines recommendations, from establishing robust assessment foundations and the beginning of concerns (Part One), to established concerns and formal remediation (Part Two) to participating in formal appeals and after (Part Three). With these 14 recommendations on how to get a grip on fair and defensible processes for termination of training, career-impacting decisions that are both fair for the learner and defensible for programs are indeed possible. They are offered to minimize the chances of academic decisions being overturned, an outcome which wastes program resources, poses patient safety risks, and delays the resident finding a more appropriate career path. This article (Part Two in the series of three) will focus on what to do when concerns become established, and a formal remediation or probation is necessary.

F-UJI : An Automated Tool for the Assessment and Improvement of the FAIRness of Research Data

&lt;p&gt;Making research data FAIR (Findable, Accessible, Interoperable, and Reusable) is critical to maximizing its impact. However, since the FAIR principles are designed as guidelines and do not specify implementation rules, it is difficult to verify the practice of these principles. Therefore, metrics and associated tools need to be developed to enable the assessment of FAIR compliance of services and datasets. Such practical solutions are important for many stakeholders to assess the quality of data-related services. They are important for selecting such services, but can also be used to iteratively improve data offerings, e.g., as part of FAIR advisory processes. With the increasing number of published datasets and the need to test them repeatedly, there is a growing body of literature that recognizes this importance of automated FAIR assessment tools. Our goal is to contribute to this area of FAIR through the development of an open source tool called F-UJI.&amp;#160; F-UJI supports programmatic FAIR assessment of research data based on a set of core metrics against which the implementation of FAIR principles can be assessed. This paper presents the development and application of F-UJI and the underlying metrics. For each of the metrics, we have designed and implemented practical tests based on existing standards and best practices for research data. The tests are important to our expanded understanding of how to test FAIR metrics in practice that have not been fully addressed in previous work on FAIR data assessment. We demonstrate the use of the tool by assessing several multidisciplinary datasets from selected trusted digital repositories, followed by recommendations for improving the FAIRness of these datasets. We summarize the experience and lessons learned from the development and testing.&lt;/p&gt;