945 research outputs found

    Special Bibliography: The Works of Susan Mosher Stuard

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    Special Bibliography: The Works of Susan Mosher Stuard

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    Partial survey of the commercial clubs in the senior high schools

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    Thesis (Ed.M.)--Boston University, 1934. This item was digitized by the Internet Archive

    What Could Really Excellent Civic Engagement Look Like in a Technological University?

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    The purpose and motivation for civic engagement in an Irish Technological University is clear, as it achieves strategic objectives at a national level for both Higher Education and community sectors. The Technological Universities Act 2018 (http://www.irishstatutebook.ie/eli/2018/act/3/enacted/en/print) defines a Technological University (TU) as having a specific focus on community and business engagement, in addition to traditional university functions of teaching, learning, and research. Even the latter were required to be relevant at regional, national, and international levels. We argue that in line with this mission, technological universities should embed deep collaboration with community partners to work towards the UN Sustainable Development Goals (SDGs) (2015 https://sustainabledevelopment.un.org/?menu=1300). This vision paper considers what excellent civic engagement in a TU could look like, if designed into structures and processes, to progress the SDGs. We draw on relevant research and our experiential knowledge as university and community organisation staff. We focus on four SDGs relevant to both the processes and content of civic engagement: quality education; reduced inequalities; sustainable cities and communities; and partnership for the goals. We draw learning from a case study of community engaged research within the curriculum to present a vision for how a TU can embed this work. We also provide recommendations to overcome critical challenges. While Ireland is our focus, our vision has international relevance too

    IMBY: Creating a model for density that maintains suburban values

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    With Greenfield approaches becoming less popular among city councils, forms of densification are being sought out, the most common yet unprecedented form being infill housing. On grounds of this, other methods including apartments are being considered the best solution. For suburban cities, this runs the risk of ignoring fundamental suburban qualities that have been highly desired in New Zealand since settlement, such as open space, autonomous land ownership, and control over one’s own property. Considering ‘the state house’ as a foundational suburban housing model for New Zealand, the Hutt Valley becomes the focus of study for this thesis. This thesis proposes using infill as a viable solution and means of exploring suburban living to produce a model of densification that offers both continuity with and transformation of cultural and architectural traits of suburban living. It argues for more compact and affordable models that are easily applicable to current New Zealand suburbia and are more responsive to current households. By exploring suburbia at different scales and exploring the current housing layout, new forms of suburban density are formed, where flexibility and neighbourliness are prioritized. The resulting dwelling is arranged based on the varying social needs of humans, allowing inhabitants to define private, shared and public areas both internally and externally

    De-repression of myelin-regulating gene expression after status epilepticus in mice lacking the C/EBP homologous protein CHOP.

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    The C/EBP homologous protein CHOP is normally present at low levels in cells but increases rapidly after insults such as DNA damage or endoplasmatic reticulum stress where it contributes to cellular homeostasis and apoptosis. By forming heterodimers with other transcription factors, CHOP can either act as a dominant-negative regulator of gene expression or to induce the expression of target genes. Recent work demonstrated that seizure-induced hippocampal damage is significantly worse in mice lacking CHOP and these animals go on to develop an aggravated epileptic phenotype. To identify novel CHOP-controlled target genes which potentially influence the epileptic phenotype, we performed a bioinformatics analysis of tissue microarrays from chop-deficient mice after prolonged seizures. GO analysis revealed genes associated with biological membranes were prominent among those in the chop-deficient array dataset and we identified myelin-associated genes to be particularly de-repressed. These data suggest CHOP might act as an inhibitor of myelin-associated processes in the brain and could be targeted to influence axonal regeneration or reorganisation

    Investigating the Need for Pediatric-Specific Machine Learning Approaches for Seizure Detection in EEG

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    Approximately 1 in every 150 children is diagnosed with epilepsy during the first ten years of life. These children ex- perience seizures, which disrupt their lives and directly harm the developing brain. EEG is a key tool for the non-invasive recording of brain activity and the diagnosis of epilepsy. However, the interpretation of EEGs requires time-consuming expert analysis. Automated seizure detection can help to reduce the time required to annotate EEGs. Research on seizure detection methods mainly focuses on adult EEG; automated seizure detection methods in paediatric EEG has been limited. Research has shown that brain events in EEG change with ageing. Therefore, adult-based seizure detection methods maybe not be suitable for children. In this study, we present a random forest-based seizure detection method developed using TUH adult EEG. 4,449 adult EEG recordings were used to train the method, and 490 adult EEG recordings were used to validate the method. An additional 509 TUH adult EEG and 192 TUH pediatric EEG were used for independent testing of the method. The CHB-MIT pediatric EEG Database (N=668) was used as an external independent test set. Ten channels were selected, and twenty-two features were estimated from each channel to develop the method. The random forest-based method achieved 69.3% balanced accuracy on the independent test set of TUH adult EEG and 70.9% on the independent test set of TUH pediatric EEG. However, balanced accuracy on the paediatric CHB-MIT independent test set was only 50.8%. Additionally, specificity was very low on both the TUH pediatric and CHB-MIT independent test sets (49.8% and 10.3% respectively). These result shows that the adult-based seizure detection method is unsuitable for children. There is a need to develop seizure detection methods specifically for paediatric EEG.Science Foundation IrelandNeuroInsight Marie Skłodowska-Curie grantRoyal College of Surgeons Ireland (RCSI
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