Voldemort Tyrannos: Plato’s Tyrant in the Republic and the Wizarding World

In the Harry Potter novel series, by J. K. Rowling, the character of Lord Voldemort is the dictatorial ruler of the Death Eaters and aspiring despot of the entire wizarding community. As such, he serves as an apt subject for the application of Plato’s portrait of the tyrant in Republic IX. The process of applying Plato to Voldemort, however, leads to an apparent anomaly, the resolution of which requires that we move beyond the Republic to the account of beauty presented by Plato in the Symposium. In doing so, we shall find that while Plato can help us to understand Voldemort, Voldemort can also help us to attain a deeper understanding of Plato

Pragmatism and Meaning: Assessing the Message of Star Trek: The Original Series

The original Star Trek television series purported to depict a future in which such evils as sexism and racism do not exist, and intelligent beings from numerous planets live in a condition of peace and mutual benefit. As many scholars have observed, from a standpoint of contemporary theoretical analysis, Star Trek: The Original Series contains many elements that are inimical to the utopia it claims to depict and thus undermine its supposed message. A different perspective may be gained by drawing on the American pragmatist movement, in which the value of an idea is judged by its effectiveness, how it ‘cashes out’ in terms of its impact in real life. Thus, the meaning and value of Star Trek: TOS can be assessed by observing its effects on its audience. This perspective coordinates well with Taylor’s discussion of the necessary conditions for the realization of a protreptic moral order in the social imaginary, as well as a pragmatist understanding of audience engagement and education

A Prison for Others—A Burden to One\u27s Self

Women have come a long way since the mid-1960\u27s, both in the real world and in the world of philosophy. Given the advances in society and the developments within feminism that took place between that decade and the first decade of the 21st century, we might reasonably expect the new Prisonerseries to present a more contemporary perspective on women than the original. Such is most emphatically not the case. If we compare the original Village to the new one, it looks as if those pennyfarthing wheels are spinning backwards instead of forwards

Widescale analysis of transcriptomics data using cloud computing methods

This study explores the handling and analyzing of big data in the field of bioinformatics. The focus has been on improving the analysis of public domain data for Affymetrix GeneChips which are a widely used technology for measuring gene expression. Methods to determine the bias in gene expression due to G-stacks associated with runs of guanine in probes have been explored via the use of a grid and various types of cloud computing. An attempt has been made to find the best way of storing and analyzing big data used in bioinformatics. A grid and various types of cloud computing have been employed. The experience gained in using a grid and different clouds has been reported. In the case of Windows Azure, a public cloud has been employed in a new way to demonstrate the use of the R statistical language for research in bioinformatics. This work has studied the G-stack bias in a broad range of GeneChip data from public repositories. A wide scale survey has been carried out to determine the extent of the Gstack bias in four different chips across three different species. The study commenced with the human GeneChip HG U133A. A second human GeneChip HG U133 Plus2 was then examined, followed by a plant chip, Arabidopsis thaliana, and then a bacterium chip, Pseudomonas aeruginosa. Comparisons have also been made between the use of widely recognised algorithms RMA and PLIER for the normalization stage of extracting gene expression from GeneChip data

Assessment Of Different Platforms For Online Virtual Lab Demonstrations

As we move to a more sustainable world, expansion of education is key to the eradication of poverty (SDG1) and societal inequalities (SDG10). Global expansion of tertiary education offers opportunities to deliver Sustainable Development Goals by providing wide access to education in flexible learning environments. However, the quality of education (SDG4) must be maintained and enhanced as it is key to a partnership for the goals (SDG17). While increased learning online can facilitate achievement of these SDGs, there is also a move, within the education sector, to a constructivist approach and a more active learning environment. Interactive virtual learning environments (e.g. Virtual Reality) can offer considerable potential in the integration of active learning in an online environment With this background in mind, the objective of this study was to evaluate the hardware and software resources currently available for effective delivery of remote virtual laboratory learning against nine technical, social and design criteria. At the same time, it is also important to consider sustainability in this evaluation including carbon (SDG13) and ecological footprints (SDG14/15). Hardware options examined were the Computer, Google Cardboard, Meta Quest 2 and Microsoft HoloLens 2, while the software platforms examined were H5P Virtual Tours, 3D Vista Pro, Dynamics 365 Guides and a professionally created VR platform. The main findings were that there is no ‘one-size-fits-all’ system and each system has its own advantages and disadvantages depending on the resources available at the institution and the type and level of knowledge and/or skill being delivered

Self-service infrastructure container for data intensive application

Cloud based scientific data management - storage, transfer, analysis, and inference extraction - is attracting interest. In this paper, we propose a next generation cloud deployment model suitable for data intensive applications. Our model is a flexible and self-service container-based infrastructure that delivers - network, computing, and storage resources together with the logic to dynamically manage the components in a holistic manner. We demonstrate the strength of our model with a bioinformatics application. Dynamic algorithms for resource provisioning and job allocation suitable for the chosen dataset are packaged and delivered in a privileged virtual machine as part of the container. We tested the model on our private internal experimental cloud that is built on low-cost commodity hardware. We demonstrate the capability of our model to create the required network and computing resources and allocate submitted jobs. The results obtained shows the benefits of increased automation in terms of both a significant improvement in the time to complete a data analysis and a reduction in the cost of analysis. The algorithms proposed reduced the cost of performing analysis by 50% at 15 GB of data analysis. The total time between submitting a job and writing the results after analysis also reduced by more than 1 hr at 15 GB of data analysis

An Analysis of Drug Dissolution Rates in the USP 24 Type 2 Apparatus

This paper applies boundary layer theory to the process of drug dissolution in the USP 24, Type 2 Apparatus. The mass transfer rate from the top flat surface of a compact in various positions within the device is evaluated by means of a Pohlhausen integral method

Cognitive Impairments in Schizophrenia as Assessed Through Activation and Connectivity Measures of Magnetoencephalography (MEG) Data

The cognitive dysfunction present in patients with schizophrenia is thought to be driven in part by disorganized connections between higher-order cortical fields. Although studies utilizing electroencephalography (EEG), PET and fMRI have contributed significantly to our understanding of these mechanisms, magnetoencephalography (MEG) possesses great potential to answer long-standing questions linking brain interactions to cognitive operations in the disorder. Many experimental paradigms employed in EEG and fMRI are readily extendible to MEG and have expanded our understanding of the neurophysiological architecture present in schizophrenia. Source reconstruction techniques, such as adaptive spatial filtering, take advantage of the spatial localization abilities of MEG, allowing us to evaluate which specific structures contribute to atypical cognition in schizophrenia. Finally, both bivariate and multivariate functional connectivity metrics of MEG data are useful for understanding how these interactions in the brain are impaired in schizophrenia, and how cognitive and clinical outcomes are affected as a result. We also present here data from our own laboratory that illustrates how some of these novel functional connectivity measures, specifically imaginary coherence (IC), are quite powerful in relating disconnectivity in the brain to characteristic behavioral findings in the disorder

In vitro competition between two transmissible cancers and potential implications for their host, the Tasmanian devil

Since the emergence of a transmissible cancer, devil facial tumour disease (DFT1), in the 1980s, wild Tasmanian devil populations have been in decline. In 2016, a second, independently evolved transmissible cancer (DFT2) was discovered raising concerns for survival of the host species. Here, we applied experimental and modelling frameworks to examine competition dynamics between the two transmissible cancers in vitro. Using representative cell lines for DFT1 and DFT2, we have found that in monoculture, DFT2 grows twice as fast as DFT1 but reaches lower maximum cell densities. Using co-cultures, we demonstrate that DFT2 outcompetes DFT1: the number of DFT1 cells decreasing over time, never reaching exponential growth. This phenomenon could not be replicated when cells were grown separated by a semi-permeable membrane, consistent with exertion of mechanical stress on DFT1 cells by DFT2. A logistic model and a Lotka-Volterra competition model were used to interrogate monoculture and co-culture growth curves, respectively, suggesting DFT2 is a better competitor than DFT1, but also showing that competition outcomes might depend on the initial number of cells, at least in the laboratory. We provide theories how the in vitro results could be translated to observations in the wild and propose that these results may indicate that although DFT2 is currently in a smaller geographic area than DFT1, it could have the potential to outcompete DFT1. Furthermore, we provide a framework for improving the parameterization of epidemiological models applied to these cancer lineages, which will inform future disease management.</p

What is best practice in sex and relationship education? A synthesis of evidence, including stakeholders' views.

OBJECTIVES: Sex and relationship education (SRE) is regarded as vital to improving young people's sexual health, but a third of schools in England lacks good SRE and government guidance is outdated. We aimed to identify what makes SRE programmes effective, acceptable, sustainable and capable of faithful implementation. DESIGN: This is a synthesis of findings from five research packages that we conducted (practitioner interviews, case study investigation, National Survey of Sexual Attitudes and Lifestyles, review of reviews and qualitative synthesis). We also gained feedback on our research from stakeholder consultations. SETTINGS: Primary research and stakeholder consultations were conducted in the UK. Secondary research draws on studies worldwide. RESULTS: Our findings indicate that school-based SRE and school-linked sexual health services can be effective at improving sexual health. We found professional consensus that good programmes start in primary school. Professionals and young people agreed that good programmes are age-appropriate, interactive and take place in a safe environment. Some young women reported preferring single-sex classes, but young men appeared to want mixed classes. Young people and professionals agreed that SRE should take a 'life skills' approach and not focus on abstinence. Young people advocated a 'sex-positive' approach but reported this was lacking. Young people and professionals agreed that SRE should discuss risks, but young people indicated that approaches to risk need revising. Professionals felt teachers should be involved in SRE delivery, but many young people reported disliking having their teachers deliver SRE and we found that key messages could become lost when interpreted by teachers. The divergence between young people and professionals was echoed by stakeholders. We developed criteria for best practice based on the evidence. CONCLUSIONS: We identified key features of effective and acceptable SRE. Our best practice criteria can be used to evaluate existing programmes, contribute to the development of new programmes and inform consultations around statutory SRE