The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes

The measurement of student performance during their progress through university study provides academic leadership with critical information on each student’s likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those “at risk” of failure/withdrawal. However, modern university environments, offering easy on-line availability of course material, may see reduced lecture/tutorial attendance, making such identification more challenging. Modern data mining and machine learning techniques provide increasingly accurate predictions of student examination assessment marks, although these approaches have focussed upon large student populations and wide ranges of data attributes per student. However, many university modules comprise relatively small student cohorts, with institutional protocols limiting the student attributes available for analysis. It appears that very little research attention has been devoted to this area of analysis and prediction. We describe an experiment conducted on a final-year university module student cohort of 23, where individual student data are limited to lecture/tutorial attendance, virtual learning environment accesses and intermediate assessments. We found potential for predicting individual student interim and final assessment marks in small student cohorts with very limited attributes and that these predictions could be useful to support module leaders in identifying students potentially “at risk.”.Peer reviewe

A Monte Carlo global analysis of the Standard Model Effective Field Theory: the top quark sector

We present a novel framework for carrying out global analyses of the Standard Model Effective Field Theory (SMEFT) at dimension-six: SMEFiT. This approach is based on the Monte Carlo replica method for deriving a faithful estimate of the experimental and theoretical uncertainties and enables one to construct the probability distribution in the space of the SMEFT degrees of freedom. As a proof of concept of the SMEFiT methodology, we present a first study of the constraints on the SMEFT provided by top quark production measurements from the LHC. Our analysis includes more than 30 independent measurements from 10 different processes at 8 and 13 TeV such as inclusive top-quark pair and single-top production and the associated production of top quarks with weak vector bosons and the Higgs boson. State-of-the-art theoretical calculations are adopted both for the Standard Model and for the SMEFT contributions, where in the latter case NLO QCD corrections are included for the majority of processes. We derive bounds for the 34 degrees of freedom relevant for the interpretation of the LHC top quark data and compare these bounds with previously reported constraints. Our study illustrates the significant potential of LHC precision measurements to constrain physics beyond the Standard Model in a model-independent way, and paves the way towards a global analysis of the SMEFT.Comment: 76 pages, 24 figures, version accepted for publication in JHE

Prevalence of Diagnosed Ocular Disease in Veterans with Serious Mental Illness

Objective To compare the prevalence of diagnosed ocular disease and eye disease treatment between VA patients with and without serious mental illness (SMI). Methods Retrospective comparison of diagnosed ocular disease and treatment prevalence among patients with and without diagnosed SMI in fiscal year (FY) 2011 in the VA Capitol Health Care System (VISN 5). Results We identified 6,462 VA patients with SMI and 137,933 without SMI. The prevalence of diagnosed ocular disease was 22.7% in SMI patients and 35.4% in non-SMI patients (P <0.001). Those with serious mental illness had a higher prevalence of glaucoma (10.2% vs. 7.1% P < 0.0001), cataract (12.6% vs. 9.2% P < 0.0001), and dry eye (4.0% vs. 2.7% P < 0.0001). 34.3% of SMI subjects had been seen in ophthalmology or optometry vs. 23.0% of controls (P < 0.0001). Conclusion VA patients with SMI have a greater prevalence of diagnosed ocular disease, particularly cataract, glaucoma, and dry eye. While SMI patients utilize eye care services at a higher rate than the general VA population, the majority of subjects with serious mental illness do not get recommended annual eye examinations. More consistent annual ocular screening among VA patients with SMI may be indicated

Deactivating climate activism? The seven strategies oil and gas majors use to counter rising shareholder action

International oil companies (IOCs) are facing mounting pressure to transition towards low-carbon business models in line with the Paris Agreement's goals to limit global warming. Shareholder activism in oil and gas companies has increased rapidly over the past decade but has not yet been widely researched. This study explores company communication strategies within the context of climate and transition-related shareholder activism at IOC annual general meetings (AGMs). We analyse 123 relevant proxy statements produced by ExxonMobil, Chevron, and BP at their AGMs from 2006 to 2022. This yielded 10 distinct categories of resolution request, and seven common themes of communicative strategy deployed by IOCs. IOCs were generally successful at minimising the impact of climate-related and environmental shareholder activism, with most resolutions unsuccessful, and even successful ones having limited impact on company performance. However, recent shareholder revolts reveal the oil and gas (O&G) sector is experiencing more instances of, and more successful, investor pressure to improve environmental performance. Cases of voluntary changes in company policy and behaviour further indicate the potential for shareholder activism to influence low-carbon transitions. Further research of the phenomenon itself to gain greater understanding of IOC response strategies can yield insights into the nature and likelihood of a transition away from fossil fuels in the future

Double-domed temperature-pressure phase diagram found for CePd3S4

CePd3S4 exhibits interplay between ferromagnetism (FM), quadrupolar order, and the Kondo effect at low temperatures with a FM transition temperature that is much higher than the value expected from the de Gennes scaling of the heavier RPd3S4 compounds. In this work, we investigated the electrical transport and magnetic properties of CePd3S4 under pressure up through 12 GPa so as to better understand the interplay between electronic and magnetic phases in this material. Our findings show that the low pressure FM state is suddenly replaced by a new magnetically ordered phase that is most likely antiferromagnetic that spans from ~ 7 GPa to ~ 11 GPa. Whereas this could be described as an example of avoided quantum criticality, given that clear changes in resistance and Hall data are detected near 6.3 GPa for all temperatures below 300 K, it is also possible that the change in ground state is a response to a pressure induced change in structure. The lack of any discernible change in the pressure dependence of the room temperature unit cell parameter/volume across this whole pressure range suggests that this change in structure is either more subtle than could be detected by our measurements (i.e. development of weak, new wave vector) or the transition is electronic (such as a Lifshitz transition).Comment: 16 pages, 16 figures, 74 reference

Localism: a planning panacea?

© 2019 Liverpool University Press. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.3828/tpr.2019.31It has been observed that there is a 'global trend' towards devolution of power from national governments to regional and local authorities, and planning is one of the activities often devolved. In England, the UK government has since 2011 gone further and, it claims, devolved planning powers to the community level. The introduction of a new form of statutory planning - neighbourhood planning - was heralded by the UK government as an embodiment of their commitment to 'localism', representing a shift from top-down to bottom-up control in the English planning system. This Policy and Practice explores some of the tensions inherent in localism as exemplified through the practical implementation of neighbourhood planning.Peer reviewedFinal Accepted Versio

Effectiveness of structured patient-clinician communication with a solution focused approach (DIALOG+) in community treatment of patients with psychosis - a cluster randomised controlled trial

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Assessing the validity of a learning analytics expectation instrument: A multinational study

To assist Higher Education Institutions in meeting the challenge of limited student engagement in the implementation of Learning Analytics services, the Questionnaire for Student Expectations of Learning Analytics (QSELA) was developed. This instrument contains 12 items, which are explained by a purported two-factor structure of Ethical and Privacy Expectations and Service Expectations. As it stands, however, the QSELA has only been validated with students from UK University students, which is problematic on account of the interest in Learning Analytics extending beyond this context. Thus, the aim of the current work was to assess whether the translated QSELA can be validated in three contexts (an Estonian, a Spanish, and a Dutch University). The findings show that the model provided acceptable fits in both the Spanish and Dutch samples, but was not supported in the Estonian student sample. In addition, an assessment of local fit is undertaken for each sample, which provides important points that need to be considered in future work. Finally, a general comparison of expectations across contexts is undertaken, which are discussed in relation to the General Data Protection Regulation (GDPR, 2018)

A combined approach for comparative exoproteome analysis of Corynebacterium pseudotuberculosis

Background: Bacterial exported proteins represent key components of the host-pathogen interplay. Hence, we sought to implement a combined approach for characterizing the entire exoproteome of the pathogenic bacterium Corynebacterium pseudotuberculosis, the etiological agent of caseous lymphadenitis (CLA) in sheep and goats. Results: An optimized protocol of three-phase partitioning (TPP) was used to obtain the C. pseudotuberculosis exoproteins, and a newly introduced method of data-independent MS acquisition (LC-MSE) was employed for protein identification and label-free quantification. Additionally, the recently developed tool SurfG+ was used for in silico prediction of sub-cellular localization of the identified proteins. In total, 93 different extracellular proteins of C. pseudotuberculosis were identified with high confidence by this strategy; 44 proteins were commonly identified in two different strains, isolated from distinct hosts, then composing a core C. pseudotuberculosis exoproteome. Analysis with the SurfG+ tool showed that more than 75% (70/93) of the identified proteins could be predicted as containing signals for active exportation. Moreover, evidence could be found for probable non-classical export of most of the remaining proteins. Conclusions: Comparative analyses of the exoproteomes of two C. pseudotuberculosis strains, in addition to comparison with other experimentally determined corynebacterial exoproteomes, were helpful to gain novel insights into the contribution of the exported proteins in the virulence of this bacterium. The results presented here compose the most comprehensive coverage of the exoproteome of a corynebacterial species so far