Studying Recommender Systems to Enhance Distributed Computing Schedulers

Distributed Computing frameworks belong to a class of programming models that allow developers to

launch workloads on large clusters of machines. Due to the dramatic increase in the volume of

data gathered by ubiquitous computing devices, data analytic workloads have become a common

case among distributed computing applications, making Data Science an entire field of

Computer Science. We argue that Data Scientist's concern lays in three main components: a dataset,

a sequence of operations they wish to apply on this dataset, and some constraint they may have

related to their work (performances, QoS, budget, etc). However, it is actually extremely

difficult, without domain expertise, to perform data science. One need to select the right amount

and type of resources, pick up a framework, and configure it. Also, users are often running their

application in shared environments, ruled by schedulers expecting them to specify precisely their resource

needs. Inherent to the distributed and concurrent nature of the cited frameworks, monitoring and

profiling are hard, high dimensional problems that block users from making the right

configuration choices and determining the right amount of resources they need. Paradoxically, the

system is gathering a large amount of monitoring data at runtime, which remains unused.

In the ideal abstraction we envision for data scientists, the system is adaptive, able to exploit

monitoring data to learn about workloads, and process user requests into a tailored execution

context. In this work, we study different techniques that have been used to make steps toward

such system awareness, and explore a new way to do so by implementing machine learning

techniques to recommend a specific subset of system configurations for Apache Spark applications.

Furthermore, we present an in depth study of Apache Spark executors configuration, which highlight

the complexity in choosing the best one for a given workload.

Nurses’ perceptions of nursing presence and the relationship between nursing presence and moral sensitivity in nurses working with people with dementia in residential care

Aim: The aim of this study was to measure nursing presence among nurses caring for people with dementia in residential care settings, and to investigate the relationship between nursing presence and moral sensitivity. Background: Nursing presence is a core relational skill in nursing and holds many benefits for nurses and their patients. Moral sensitivity is defined as how one recognises the moral elements of a situation, and how one’s moral or ethical decision making may impact on an individual. Methods: A descriptive, cross sectional quantitative methodology was used with a sample of 150 registered nurses. The Presence of Nursing Scale for Registered Nurses was used to investigate nursing presence, and the Moral Sensitivity Questionnaire for moral sensitivity. Results: Findings from the study demonstrated that participants agreed with the majority of elements of nursing presence, (mean 76.97, SD= 7.51). A mean score of 36.22 was evidence of a well developed level of moral sensitivity in participants. Nurses who perceived themselves to be highly present to their patients also scored highest on certain elements of moral sensitivity such as moral strength. Nursing presence was also found to be more developed in those participants that rated themselves as having higher levels of expertise based on Benner’s (1984) definitions. Older nurses also scored higher on nursing presence. There was a high level of agreement that factors such as lack of time (n=133), and heavy workload influenced nursing presence. Nurses, who were older and had longer clinical experience, were shown to have greater moral strength. There were differences in elements of moral sensitivity between groups of nurses who ranked themselves according to Benner’s (1984) competence framework with higher scores evident in the more expert groups. Conclusion: Overall, this study showed that participants had a well developed level of nursing presence, and certain elements of moral sensitivity are positively related to nursing presence. Nursing presence appears to be linked to the level of expertise of the nurse but factors such as time and workload do influence nursing presence.

AGOCS – Accurate Google Cloud Simulator Framework

This paper presents the Accurate Google Cloud Simulator (AGOCS) – a novel high-fidelity Cloud workload simulator based on parsing real workload traces, which can be conveniently used on a desktop machine for day-to-day research. Our simulation is based on real-world workload traces from a Google Cluster with 12.5K nodes, over a period of a calendar month. The framework is able to reveal very precise and detailed parameters of the executed jobs, tasks and nodes as well as to provide actual resource usage statistics. The system has been implemented in Scala language with focus on parallel execution and an easy-to-extend design concept. The paper presents the detailed structural framework for AGOCS and discusses our main design decisions, whilst also suggesting alternative and possibly performance enhancing future approaches. The framework is available via the Open Source GitHub repository.

Departure and approach procedures for unmanned aircraft systems in a visual-flight-rule environment

This paper assesses the departure and approach operations of unmanned aircraft systems in one of the most challenging scenarios: flying under visual flight rules. Inspired by some existing procedures for (manned) general aviation, some automatic and predefined procedures for unmanned aircraft systems are proposed. Hence, standardized paths to specific waypoints close to the airport are defined for departure operations, just before starting the navigation phase. Conversely, and for the approach maneuvers, a first integration into a holding pattern near the landing runway (ideally, above it) is foreseen, followed by a standard visual-flight-rule airfield traffic pattern. This paper discuses the advantages of these operations, which aim to minimize possible conflicts with other existing aircraft while reducing the pilot-in-command workload. Finally, some preliminary simulations are shown in which these procedures have been successfully tested with simulated surrounding traffic.

A HARD PUSH FOR SOFT SKILLS: AN EXAMINATION OF POLICY AND RESEARCH ON NON-COGNITIVE SKILLS IN CANADIAN K-12 SCHOOLING

Non-cognitive skills have caught the attention of current education policy writers in Canada. Within the last 10 years, almost every province has produced a document including the importance of supporting non-cognitive skills in K-12 students in the classroom. Although often called different names (such as learning skills, cross curricular competencies, and 20th Century Skills) and occasionally viewed through different lenses (such as emotional intelligence skills, character skills, and work habits), what unifies non-cognitive skills within the policy documents is the claim that students that are strong in these skills are more successful in academic achievement and are more successful in post-secondary endeavors. Though the interest from policy-makers and educators is clear, there are still many questions about non-cognitive skills that have yet to be answered. These include: What skills are the most important for teacher’s to support in the classroom? What are these skills’ exact contributions to student success? How can teachers best support these skills? Are there currently reliable and valid measures of these skills? These are very important questions worth answering if Canadian teachers are expected to support non-cognitive skills in their classrooms with an already burdened workload. As well, it can begin to untangle the plethora of research that exists within the non-cognitive realm. Without a critical look at the current literature, it is impossible to ensure that these policies are effective in Canadian classrooms, and to see an alignment between research and policy. Upon analysis of Canadian curriculum, five non-cognitive skills were found to be the most prevalent among many of the provinces: Self-Regulation, Collaboration, Initiative, Responsibility and Creativity. The available research literature was then examined to determine the utility of teaching these skills in the classroom (can students improve on these skills, do these skills impact other aspects of students’ lives, and are there methods to validly and reliably assess these skills). It was found that Self-Regulation and Initiative had the strongest basis for being implemented in the classroom. On the other hand, Creativity still requires a lot more justification in terms of its impact on students’ lives and ability to assess in the classroom.

Correlation between anxiety and academic self-concept in interpreter trainees

This paper focuses on two basic issues: the anxiety-generating nature of the interpreting task and the relevance of interpreter trainees’ academic self-concept. The first has already been acknowledged, although not extensively researched, in several papers, and the second has only been mentioned briefly in interpreting literature. This study seeks to examine the relationship between the anxiety and academic self-concept constructs among interpreter trainees. An adapted version of the Foreign Language Anxiety Scale (Horwitz et al., 1986), the Academic Autoconcept Scale (Schmidt, Messoulam & Molina, 2008) and a background information questionnaire were used to collect data. Students’ t-Test analysis results indicated that female students reported experiencing significantly higher levels of anxiety than male students. No significant gender difference in self-concept levels was found. Correlation analysis results suggested, on the one hand, that younger would-be interpreters suffered from higher anxiety levels and students with higher marks tended to have lower anxiety levels; and, on the other hand, that younger students had lower self-concept levels and higher-ability students held higher self-concept levels. In addition, the results revealed that students with higher anxiety levels tended to have lower self-concept levels. Based on these findings, recommendations for interpreting pedagogy are discussed.

The potential contributions of concept maps for learning website to assessment for learning practices

The purpose of this paper is to examine the promising contributions of the Concept Maps for Learning (CMfL) website to assessment for learning practices. The CMfL website generates concept maps from relatedness degree of concepts pairs through the Pathfinder Scaling Algorithm. This website also confirms the established principles of effective assessment for learning, for it is capable of automatically assessing students' higher order knowledge, simultaneously identifying strengths and weaknesses, immediately providing useful feedback and being user-friendly. According to the default assessment plan, students first create concept maps on a particular subject and then they are given individualized visual feedback followed by associated instructional material (e.g., videos, website links, examples, problems, etc.) based on a comparison of their concept map and a subject matter expert's map. After studying the feedback and instructional material, teachers can monitor their students' progress by having them create revised concept maps. Therefore, we claim that the CMfL website may reduce the workload of teachers as well as provide immediate and delayed feedback on the weaknesses of students in different forms such as graphical and multimedia. For the following study, we will examine whether these promising contributions to assessment for learning are valid in a variety of subjects.

Using protocols in ICU practice. Engaging the staff.

Aims/Purpose: Protocols are evidenced-based structured guides for directing care to achieve improvements. But translating that evidence into practice is a major challenge. It is not acceptable to simply introduce the protocol and expect it to be adopted and lead to change in practice. Implementation requires effective leadership and management. This presentation describes a strategy for implementation that should promote successful adoption and lead to practice change.
Presentation description: There are many social and behavioural change models to assist and guide practice change. Choosing a model to guide implementation is important for providing a framework for action. The change process requires careful thought, from the protocol itself to the policies and politics within the ICU. In this presentation, I discuss a useful pragmatic guide called the 6SQUID (6 Steps in QUality Intervention Development). This was initially designed for public health interventions, but the model has wider applicability and has similarities with other change process models. Steps requiring consideration include examining the purpose and the need for change; the staff that will be affected and the impact on their workload; and the evidence base supporting the protocol. Subsequent steps in the process that the ICU manager should consider are the change mechanism (widespread multi-disciplinary consultation; adapting the protocol to the local ICU); and identifying how to deliver the change mechanism (educational workshops and preparing staff for the changes are imperative). Recognising the barriers to implementation and change and addressing these locally is also important. Once the protocol has been implemented, there is generally a learning curve before it becomes embedded in practice. Audit and feedback on adherence are useful strategies to monitor and sustain the changes.
Conclusion: Managing change successfully will promote a positive experience for staff. In turn, this will encourage a culture of enthusiasm for translating evidence into practice.

Understanding next generation sequencing in oncology: A guide for oncologists

DNA sequencing is now faster and cheaper than ever before, due to the development of next generation sequencing (NGS) technologies. NGS is now widely used in the research setting and is becoming increasingly utilised in clinical practice. However, due to evolving clinical commitments, increased workload and lack of training opportunities, many oncologists may be unfamiliar with the terminology and technology involved. This can lead to oncologists feeling daunted by issues such as how to interpret the vast amounts of data generated by NGS and the differences between sequencing platforms. This review article explains common concepts and terminology, summarises the process of DNA sequencing (including data analysis) and discusses the main factors to consider when deciding on a sequencing method. This article aims to improve oncologists' understanding of the most commonly used sequencing platforms and the ongoing challenges faced in expanding the use of NGS into routine clinical practice.

Effectiveness of Community versus Hospital Eye Service follow-up for patients with neovascular age-related macular degeneration with quiescent disease (ECHoES): a virtual non-inferiority trial

OBJECTIVES: To compare the ability of ophthalmologists versus optometrists to correctly classify retinal lesions due to neovascular age-related macular degeneration (nAMD).

DESIGN: Randomised balanced incomplete block trial. Optometrists in the community and ophthalmologists in the Hospital Eye Service classified lesions from vignettes comprising clinical information, colour fundus photographs and optical coherence tomographic images. Participants' classifications were validated against experts' classifications (reference standard).

SETTING: Internet-based application.

PARTICIPANTS: Ophthalmologists with experience in the age-related macular degeneration service; fully qualified optometrists not participating in nAMD shared care.

INTERVENTIONS: The trial emulated a conventional trial comparing optometrists' and ophthalmologists' decision-making, but vignettes, not patients, were assessed. Therefore, there were no interventions and the trial was virtual. Participants received training before assessing vignettes.

MAIN OUTCOME MEASURES: Primary outcome-correct classification of the activity status of a lesion based on a vignette, compared with a reference standard. Secondary outcomes-potentially sight-threatening errors, judgements about specific lesion components and participants' confidence in their decisions.

RESULTS: In total, 155 participants registered for the trial; 96 (48 in each group) completed all assessments and formed the analysis population. Optometrists and ophthalmologists achieved 1702/2016 (84.4%) and 1722/2016 (85.4%) correct classifications, respectively (OR 0.91, 95% CI 0.66 to 1.25; p=0.543). Optometrists' decision-making was non-inferior to ophthalmologists' with respect to the prespecified limit of 10% absolute difference (0.298 on the odds scale). Optometrists and ophthalmologists made similar numbers of sight-threatening errors (57/994 (5.7%) vs 62/994 (6.2%), OR 0.93, 95% CI 0.55 to 1.57; p=0.789). Ophthalmologists assessed lesion components as present less often than optometrists and were more confident about their classifications than optometrists.

CONCLUSIONS: Optometrists' ability to make nAMD retreatment decisions from vignettes is not inferior to ophthalmologists' ability. Shared care with optometrists monitoring quiescent nAMD lesions has the potential to reduce workload in hospitals.

TRIAL REGISTRATION NUMBER: ISRCTN07479761; pre-results registration.

Intelligent DMU creation: Nominal CAD model preparation for automated tolerance allocation

This paper examines the integration of a tolerance design process within the Computer-Aided Design (CAD) environment having identified the potential to create an intelligent Digital Mock-Up [1]. The tolerancing process is complex in nature and as such reliance on Computer-Aided Tolerancing (CAT) software and domain experts can create a disconnect between the design and manufacturing disciplines It is necessary to implement the tolerance design procedure at the earliest opportunity to integrate both disciplines and to reduce workload in tolerance analysis and allocation at critical stages in product development when production is imminent.
The work seeks to develop a methodology that will allow for a preliminary tolerance allocation procedure within CAD. An approach to tolerance allocation based on sensitivity analysis is implemented on a simple assembly to review its contribution to an intelligent DMU. The procedure is developed using Python scripting for CATIA V5, with analysis results aligning with those in literature. A review of its implementation and requirements is presented.

A cross-sectional evaluation of community pharmacists’ perceptions of intermediate care and medicines management across the healthcare interface

Background Despite the importance placed on the concept of the multidisciplinary team in relation to intermediate care (IC), little is known about community pharmacists’ (CPs) involvement. 
Objective To determine CPs’ awareness of and involvement with IC services, perceptions of the transfer of patients’ medication information between healthcare settings and views of the development of a CP–IC service. 
Setting Community pharmacies in Northern Ireland. 
Methods A postal questionnaire, informed by previous qualitative work was developed and piloted. 
Main outcome measure CPs’ awareness of and involvement with IC. Results The response rate was 35.3 % (190/539). Under half (47.4 %) of CPs ‘agreed/strongly agreed’ that they understood the term ‘intermediate care’. Three quarters of respondents were either not involved or unsure if they were involved with providing services to IC. A small minority (1.2 %) of CPs reported that they received communication regarding medication changes made in hospital or IC settings ‘all of the time’. Only 9.5 and 0.5 % of respondents ‘strongly agreed’ that communication from hospital and IC, respectively, was sufficiently detailed. In total, 155 (81.6 %) CPs indicated that they would like to have greater involvement with IC services. ‘Current workload’ was ranked as the most important barrier to service development.
Conclusion It was revealed that CPs had little awareness of, or involvement with, IC. Communication of information relating to patients’ medicines between settings was perceived as insufficient, especially between IC and community pharmacy settings. CPs demonstrated willingness to be involved with IC and services aimed at bridging the communication gap between healthcare settings.

Logghantering : En undersökning av logghantering och logghanteringssystem

This research includes a review of the log management of the company Telia. The research has also included a comparison of the two log management sys- tems Splunk and ELK. The review of the company’s log management shows that log messages are being stored in files on a hard drive that can be accessed through the network. The log messages are system-specific. ELK is able to fetch log messages of different formats simultaneously, but this feature is not possible in Splunk where the process of uploading log messages has to be re- peated for log messages that have different formats. Both systems store log messages through a file system on a hard drive, where the systems are installed. In networks that involve multiple servers, ELK is distributing the log messages between the servers. Thus, the workload to perform searches and storing large amounts of data is reduced. Using Splunk in networks can also reduce the workload. This is done by using forwarders that send the log messages to one or multiple central servers which stores the messages. Searches of log messages in Splunk are performed by using a graphical interface. Searches in ELK is done by using a REST-API which can be used by external systems as well, to retrieve search results. Splunk also has a REST-API that can be used by external sys- tems to receive search results. The research revealed that ELK had a lower search time than Splunk. However, no method was found that could be used to measure the indexing time of ELK, which meant that no comparison could be made with respect to the indexing time for Splunk. For future work there should be an investigation whether there is any possibility to measure the indexing time of ELK. Another recommendation is to include more log management sys- tem in the research to improve the results that may be suitable candidates for the company Telia. An improvement suggestion as well, is to do performance tests in a network with multiple servers and thereby draw conclusions how the performance is in practice.

Generations and intention to leave current job : Belgian nurses in the workplace

This master thesis aims to identify work-related factors making Belgian nurses consider leaving their job voluntary and to compare the work-related factors across different generations. The purpose of this master thesis has a descriptive nature of research. The research approach chosen is a deductive approach and the research design chosen is a quantitative research design. Cluster sampling in combination with simple random sampling was used as sampling technique. 128 nurses were surveyed from April to May 2016. Nurses who reported to leave the organization due to retirement reasons, temporary employment contract or maternity leave were excluded from the study as this study investigates the voluntary turnover intention. A total of 68 nurses were included in the study which indicates an overall response rate of 53 %. Numerous of the findings in this master thesis are consistent with previous studies on turnover intention of different generations in other western-countries than Belgium. The work-related factor workload was most often reported by Belgian nurses with no intention to leave their job. Belgian nurses with an intention to leave their job indicated most often the work-related factor (non-)financial benefits. The generation-specific findings indicated both similarities and differences between the work-related factors selected. It was observed that Baby Boomers with an intention to leave their job selected most often variables related to the work-related factors (non-)financial benefits, supportive organization and workload. The variable lack of recognition appeared among Baby Boomers with an intention and no intention to leave their job. Surprisingly was the often selected variables lack of direct and/clear feedback on performances and unsupportive supervisor among Baby Boomers with professional turnover intention. Further, it was observed that Generation Xers with an intention to leave their job selected most often variables related to the work-related factors supportive organization, communication, (non-)financial benefits, work content and workload. The variables inadequate opportunity for advancement/professional growth and imbalance work-life appeared among Generation Xers with an intention and no intention to leave their job. Generation Yers with an intention to leave their job selected most frequently variables related to the work-related factors (non-)financial benefits, workload and commitment. The variables inadequate salary and opportunities elsewhere appeared among nurses with an intention and no intention to leave their job. Surprisingly was the often selected variable inadequate salary among Generation Yers with professional turnover intention.

Vad ska vi göra med den psykosociala arbetsmiljön? : En undersökning av den psykosociala arbetsmiljön och hur vi kan arbeta för att förbättra den.

Denna uppsats baseras på en undersökning inom en global organisation. Syftet med undersökningen är att tydliggöra och beskriva en HR-avdelnings upplevelse av sin egen psykosociala arbetsmiljö. Utgångspunkten är att det finns givna faktorer som påverkar den psykosociala arbetsmiljön. Vidare syftar undersökningen till att motivera organisationen att arbeta vidare med detta. Teorin som dessa faktorer utgår från är att den psykosociala arbetsmiljön påverkas av för stor arbetsbelastning, bristande kontroll, brist på erkänsla, gemenskapen på arbetet, rollkonflikter och värderingskonflikter (Åsberg, Grape, Nygren, Rohde, Wahlberg, & Währborg, 2010; Thylefors, 2011). Även kompetens och möjligheten att påverka arbetsplatsen utgör faktorer (Wreder, 2007). Kunskap, kommunikation och ett gott ledarskap är grunden för att ha en fungerande psykosocial arbetsmiljö. Undersökningen grundas i en deduktiv ansats, där deltagarna inledningsvis skattar faktorer genom en kvantitativ enkät, för att några veckor senare diskutera faktorerna i kvalitativa fokusgrupper. Syftet med enkäten var att erhålla en anonym och individuell skattning av upplevelsen, medan syftet med fokusgrupperna var att erhålla en djupare information om upplevelsen och hur arbetstagarna upplever att den psykosociala arbetsmiljön kan förbättras. Resultatet tolkades utifrån teorin och flertalet faktorer hade potential att åtgärdas. För att kunna bedriva ett adekvat arbetsmiljöarbete är det viktigt för samtliga organisationer att identifiera dessa och arbeta med de faktorer som arbetstagarna upplever aktuella. Vidare är det viktigt att arbeta med den psykosociala arbetsmiljön utifrån ett organisationsperspektiv, än endast det individuella perspektivet.