Renormalized Landau Levels and Particle-Hole Symmetry in Graphene

In this proceedings paper we report on a calculation of graphene's Landau levels in a magnetic field. Our calculations are based on a self-consistent Hartree-Fock approximation for graphene's massless-Dirac continuum model. We find that because of graphene's chiral band structure interactions not only shift Landau-level energies, as in a non-relativistic electron gas, but also alter Landau level wavefunctions. We comment on the subtle continuum model regularization procedure necessary to correctly maintain the lattice-model's particle hole symmetry properties

The Challenges of university education in Kenya

The 7th annual Ethics ConferencePaper presented at the 7th Annual Ethics Conferenc

Artificial intelligence approaches for advanced battery management system in electric vehicle applications : a statistical analysis towards future research opportunities

In order to reduce carbon emissions and address global environmental concerns, the automobile industry has focused a great deal of attention on electric vehicles, or EVs. However, the performance and health of batteries can deteriorate over time, which can have a negative impact on the effectiveness of EVs. In order to improve the safety and reliability and efficiently optimize the performance of EVs, artificial intelligence (AI) approaches have received massive consideration in precise battery health diagnostics, fault analysis and thermal management. Therefore, this study analyzes and evaluates the role of AI approaches in enhancing the battery management system (BMS) in EVs. In line with that, an in-depth statistical analysis is carried out based on 78 highly relevant publications from 2014 to 2023 found in the Scopus database. The statistical analysis evaluates essential parameters such as current research trends, keyword evaluation, publishers, research classification, nation analysis, authorship, and collaboration. Moreover, state-of-the-art AI approaches are critically discussed with regard to targets, contributions, advantages, and disadvantages. Additionally, several significant problems and issues, as well as a number of crucial directives and recommendations, are provided for potential future development. The statistical analysis can guide future researchers in developing emerging BMS technology for sustainable operation and management in EVs. © 2023 by the authors

Disciplinary Differences, Rhetorical Resonances: Graduate Writing Groups Beyond the Humanities

When we first established graduate student writing groups across the curriculum at Ohio University in the summer of 2003, we had several goals and outcomes in mind. Initially, we understood the usefulness of these groups as outreach projects to students and faculty in disciplines outside of English and the humanities–in other words, departments that are not always closely affiliated with our writing center. Second, we had a strong desire to help frustrated and often very lonely graduate research writers gain a greater sense of control and authority over their professional projects. Through our work with graduate students across the curriculum, each of us had noticed the gap in our current system of education where, as Carrie Shively describes, “expertise has been formally separated into domain knowledge and rhetorical knowledge. As a consequence, novices may have access to domain knowledge without access to rhetorical knowledge” (56). Given this separation between domain knowledge and rhetorical knowledge, we realized that graduate student writing groups could serve to bridge this gap between the conventions of discourse that are specific to each discipline and the conventions of writing that exist across different disciplines.University Writing Cente

Equality-friendly well-founded semantics and applications to description logics

We tackle the problem of defining a well-founded semantics (WFS) for Datalog rules with existentially quantified variables in their heads and nega- tions in their bodies. In particular, we provide a WFS for the recent Datalog± family of ontology languages, which covers several important description logics (DLs). To do so, we generalize Datalog± by non-stratified nonmonotonic nega- tion in rule bodies, and we define a WFS for this generalization via guarded fixed point logic. We refer to this approach as equality-friendly WFS, since it has the advantage that it does not make the unique name assumption (UNA); this brings it close to OWL and its profiles as well as typical DLs, which also do not make the UNA. We prove that for guarded Datalog± with negation under the equality- friendly WFS, conjunctive query answering is decidable, and we provide precise complexity results for this problem. From these results, we obtain precise defi- nitions of the standard WFS extensions of EL and of members of the DL-Lite family, as well as corresponding complexity results for query answering

Developing growth mindsets in engineering students: a systematic literature review of interventions

Dropout from engineering studies has been linked to ‘fixed mindset’ beliefs of intelligence as fixed-at-birth that make students more likely to disengage when facing new challenges. In contrast, ‘growth mindset’ beliefs that intelligence can be improved with effort make students more likely to persist when confronting difficulties. This systematic literature review of engineering, education and psychology databases explores the effectiveness of different interventions in developing growth mindset in engineering students, what measures have been used in assessing the effectiveness of these interventions and who has benefited from these interventions, in terms of gender and year of study. We compare interventions by geographical location, intervention type, methodology for assessing mindsets, other topics studied, and effectiveness. The results show a variation in effectiveness among the fifteen included studies. The findings will be useful for educators who want to encourage growth mindset and thereby support the academic success of their students

Trends and uptake of new formulations of controlled-release oxycodone in Canada

Purpose: This study investigated the impact of changing availability of tamper‐deterrent and non‐tamper‐deterrent oxycodone on prescribing patterns of controlled‐release oxycodone across Canada. Methods: We conducted a population‐based, serial cross‐sectional study of controlled‐release oxycodone dispensing from community pharmacies across Canada between October 2007 and April 2016. We calculated rates of dispensing (tablets per 100 population) and reported the relative market share of generic non‐tamper‐deterrent controlled‐release oxycodone. All analyses were reported nationally and stratified by province. Results: After the introduction of a tamper‐deterrent formulation, the national rate of controlled‐release oxycodone dispensing fell by 44.6% (from 26.4 to 14.6 tablets per 100 population from February 2012 to April 2016). Between December 2012 and July 2013, there was moderate uptake of generic non‐tamper‐deterrent controlled‐release oxycodone (968 452 tablets; 16.0% in July 2013), which appeared to have little impact on the overall rate of controlled‐release oxycodone dispensing in Canada. However, the uptake of generic non‐tamper‐deterrent oxycodone varied considerably by province. By April 2016, 55.0% of all controlled‐release oxycodone tablets dispensed in Quebec were for the generic formulation. […

Implementation of Chinese Folklore Virtual Content Using an Expert System

The COVID-19 pandemic has led to increased use of information technology in all community activities, especially in the field of education. One technology used for learning is the virtual laboratory with online learning media. The use of virtual laboratories in Revolution 4.0 was very effective, especially in the current COVID-19 pandemic. Usually, virtual laboratories do not provide feedback to users, especially on how to develop their skills. This study developed a virtual laboratory with personalized Chinese folklore content using artificial intelligence. The ability and willingness of the user are processed by artificial intelligence to determine the model, media and material that the user wants. When tested, this virtual laboratory’s personalization methods obtained an accuracy value of 89.2% according to the users. Keywords: virtual content, Chinese folklore, expert syste