3,181 research outputs found
Worker absence and shirking : evidence from matched teacher-school data.
We utilise a unique matched teacher-school data set of absenteeism records to quantify the impact of group interaction on the absence behavior of primary and secondary teachers. To address problems of identification our study focuses on teachers who move between schools. The estimates for movers suggest that absenteeism is influenced by prevailing group absence behaviour at the school. Our finding suggests that a worker takes one more day of absenteeism if their average coworker takes 12 more days or 8 more days absenteeism per quarter for primary school and secondary school teachers, respectively. We interpret this as evidence that worker shirking is influenced by workplace absence norms
Worker absence and shirking: evidence from matched teacher-school data
We utilise a unique matched teacher-school data set of absenteeism records to quantify shirking behaviour in primary and secondary schools. Shirking behaviour is shown to vary systematically across schools, and hence schools are characterised as either healthy (low absenteeism) or sick (high absenteeism). Using count data techniques, and allowing for the problems of unobserved heterogeneity and partial observability in our data, we find that teachers in sick schools have higher absence rates. Our estimates suggest that shirking behaviour can account for 24 percent to 38 percent of recorded absenteeism. Furthermore, a teacher who moves from a healthy school to a sick school is likely to face an increased risk of absenteeism of up to 70 percent. As the factors a¤ecting involuntary absenteeism are unlikely to change in the short run, we argue that this increased incidence in absenteeism re?ects the impact of the change in school environment on shirking behaviour.
The role of pecuniary and non-pecuniary factors in teacher turnover and mobility decisions
We investigate the determinants of teacher exits from and mobility within the Queensland state school system. In common with previous research we find that non-pecuniary factors, such as class size and location, affect movement decisions but our results suggest a significant role for pecuniary factors. In particular, higher wages reduce exits from the public sector, especially in the case of more experienced female teachers. Locality allowances paid to teachers in rural and remote schools, where non-pecuniary factors are less attractive, appear to have some success in attracting and retaining staff in these locations.
Characterisation of the influence function non-additivities for a 1024-actuator MEMS deformable mirror
In order to evaluate the potential of MEMS deformable mirrors for open-loop
applications, a complete calibration process was performed on a 1024-actuator
mirror. The mirror must be perfectly calibrated to obtain deterministic
membrane deflection. The actuator's stroke-voltage relationship and the effect
of the non- additivity of the influence functions are studied and finally
integrated in an open-loop control process. This experiment aimed at minimizing
the residual error obtained in open-loop control.Comment: 6 pages, 9 figures, Proceedings of the 1st AO for ELT conference,
June 2009, Pari
Prospects for Measuring Cosmic Microwave Background Spectral Distortions in the Presence of Foregrounds
Measurements of cosmic microwave background spectral distortions have
profound implications for our understanding of physical processes taking place
over a vast window in cosmological history. Foreground contamination is
unavoidable in such measurements and detailed signal-foreground separation will
be necessary to extract cosmological science. We present MCMC-based spectral
distortion detection forecasts in the presence of Galactic and extragalactic
foregrounds for a range of possible experimental configurations, focusing on
the Primordial Inflation Explorer (PIXIE) as a fiducial concept. We consider
modifications to the baseline PIXIE mission (operating 12 months in distortion
mode), searching for optimal configurations using a Fisher approach. Using only
spectral information, we forecast an extended PIXIE mission to detect the
expected average non-relativistic and relativistic thermal Sunyaev-Zeldovich
distortions at high significance (194 and 11, respectively),
even in the presence of foregrounds. The CDM Silk damping -type
distortion is not detected without additional modifications of the instrument
or external data. Galactic synchrotron radiation is the most problematic source
of contamination in this respect, an issue that could be mitigated by combining
PIXIE data with future ground-based observations at low frequencies (GHz). Assuming moderate external information on the synchrotron spectrum,
we project an upper limit of (95\% c.l.), slightly
more than one order of magnitude above the fiducial CDM signal from
the damping of small-scale primordial fluctuations, but a factor of improvement over the current upper limit from COBE/FIRAS. This limit could
be further reduced to (95\% c.l.) with more
optimistic assumptions about low-frequency information. (Abridged)Comment: (16 pages, 11 figures, submitted to MNRAS. Fisher code available at
https://github.com/mabitbol/sd_foregrounds. Updated with published version.
New medics show promise in the northern wheatbelt
For more than 20 years Cyprus barrel medic has been the mainstay of pastures grown on the medium to heavy red clay loamss of Western Australia\u27slow rainfall wheatbelt. However, since the early1980s its resistance to aphids has declined followed by reduced productivitymand persistence.
Fortunately, a six year research program at Tenibdewa, near Mullewa, is on target to prove the superiority of Parabinga barrel medic and a mixture of Serena and Santiago burr medics. These varieties, which had not been widley tested in the region, generally out-perform Cyprus in all aspects because of their higher tolerance of aphids
Multimorbidity or polypharmacy: two sides of the same coin?
Polypharmacy, broadly defined as the chronic co-prescription of several drugs [1], has long been recognized as problematic. The greater the number of medicines a patient takes, the greater the risk of adverse effects of any one medicine, and the greater the risk of drug–drug interactions. Thus, polypharmacy is an accepted risk for poor health outcomes, including hospitalizations and mortality [2]. The number of drugs per patient (or polypharmacy) has come to be used as a measure of potentially hazardous professional behaviour, and is sometimes used in conjunction with the term ‘inappropriate prescribing’. Nonetheless, the prevalence of polypharmacy is rising inexorably [3]. This rise is driven, principally, by the rising prevalence of multimorbidity, i.e. the co-occurrence of two or more chronic long-term diseases or conditions in one patient [4]. The issue is compounded by clinical guidelines that advocate the use of several medicines in the management of individual diseases and their associated risk factors [5]. The result is a dilemma for prescribers: on the one hand there is the need to keep the number of medicines to a minimum, while on the other ensuring that the patient receives what evidence-based guidelines advocate as being in their best interest [6]. Journal of Comorbidity 2015;5(1):29–3
Spatio-angular Minimum-variance Tomographic Controller for Multi-Object Adaptive Optics systems
Multi-object astronomical adaptive-optics (MOAO) is now a mature wide-field
observation mode to enlarge the adaptive-optics-corrected field in a few
specific locations over tens of arc-minutes.
The work-scope provided by open-loop tomography and pupil conjugation is
amenable to a spatio-angular Linear-Quadratic Gaussian (SA-LQG) formulation
aiming to provide enhanced correction across the field with improved
performance over static reconstruction methods and less stringent computational
complexity scaling laws.
Starting from our previous work [1], we use stochastic time-progression
models coupled to approximate sparse measurement operators to outline a
suitable SA-LQG formulation capable of delivering near optimal correction.
Under the spatio-angular framework the wave-fronts are never explicitly
estimated in the volume,providing considerable computational savings on
10m-class telescopes and beyond.
We find that for Raven, a 10m-class MOAO system with two science channels,
the SA-LQG improves the limiting magnitude by two stellar magnitudes when both
Strehl-ratio and Ensquared-energy are used as figures of merit. The
sky-coverage is therefore improved by a factor of 5.Comment: 30 pages, 7 figures, submitted to Applied Optic
Knowledge is power: general practitioners prescribing of new oral anticoagulants in Ireland
Objective: New oral anticoagulants (NOACs) aim to overcome warfarin’s shortcomings, however their pharmacokinetic characteristics make prescribing complex. Thus it is imperative that general practitioners (GPs) are aware of specific treatments so as to maximise their benefits and minimise their pitfalls. This study explores GPs attitudes and experiences with prescribing NOACs in Ireland where, despite clear national prescribing guidelines advocating warfarin as first line therapy, the number of patients being prescribed NOACs for the first time is growing. Results: Using primary data collected from GPs in Ireland the factors influencing the likelihood of a GP initiating a prescription for a NOAC are determined using a probit model. Results indicate 46% of the sample initiated NOAC prescriptions and GP practice size is a significant factor influencing this. Analysis revealed no difference regarding the sources of information considered important amongst GPs when prescribing new drugs. However, there were differences in which factors were considered important when prescribing anticoagulants between initiating and non-initiating NOAC prescribers. The results of this study suggest better utilisation of existing information and education tools for GPs prescribing NOACs and managing NOAC patients is imperative, to ensure the right anticoagulant is prescribed for the right patient at the right time
A scoping review of the potential for chart stimulated recall as a clinical research method.
Background: Chart-stimulated recall (CSR) is a case-based interviewing technique, which is used in the assessment of clinical decision-making in medical education and professional certification. Increasingly, clinical decision-making is a concern for clinical research in primary care. In this study, we review the prior application and utility of CSR as a technique for research interviews in primary care. Methods: Following Arksey & O'Malley's method for scoping reviews, we searched seven databases, grey literature, reference lists, and contacted experts in the field. We excluded studies on medical education or competence assessment. Retrieved citations were screened by one reviewer and full texts were ordered for all potentially relevant abstracts. Two researchers independently reviewed full texts and performed data extraction and quality appraisal if inclusion criteria were met. Data were collated and summarised using a published framework on the reporting of qualitative interview techniques, which was chosen a priori. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines informed the review report. Results: From an initial list of 789 citations, eight studies using CSR in research interviews were included in the review: six from North America, one from the Netherlands, and one from Ireland. The most common purpose of included studies was to examine the influence of guidelines on physicians' decisions. The number of interviewees ranged from seven to twenty nine, while the number of charts discussed per interview ranged from one to twelve. CSR gave insights into physicians' reasoning for actions taken or not taken; the unrecorded social and clinical influences on decisions; and discrepancies between physicians' real and perceived practice. Ethical concerns and the training and influence of the researcher were poorly discussed in most of the studies. Potential pitfalls included the risk of recall, selection and observation biases. Conclusions: Despite the proven validity, reliability and acceptability of CSR in assessment interviews in medical education, its use in clinical research is limited. Application of CSR in qualitative research brings interview data closer to the reality of practice. Although further development of the approach is required, we recommend a role for CSR in research interviews on decision-making in clinical practice
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