Neo-Victorian poetry

A. S. Byatt’s 1991 novel, Possession, positions “Victorian” poetry at the centre of text and often drives plot in neo-Victorian literature. However, it is extremely rare to see articles focusing on poetry in books and journals dedicated to neo-Victorian studies. This chapter seeks to redress this, offering an overview of the most significant interventions in neo-Victorian poetry, before focusing specifically on poems addressing the pre-eminent Victorian poet, Alfred Tennyson. It considers poets such as Anthony Thwaite, Carol Ann Duffy, Margaret Atwood, Richard Howard, Daljit Nagra, Ruth Padel, Susana Gardner, Andrew Motion, Mick Imlah, Rosie Miles, John Seed, and Oliver Reynolds, all having produced poems and collections which can be considered neo-Victorian in their form (very often the quintessentially Victorian dramatic monologue) and focus (often about eminent or forgotten, Victorians, and sometimes as direct Possession responses to Victorian poems). Morton offers a case study of the varied ways in which poets have returned to address, challenge, and (less often) celebrate Alfred Tennyson and his works, in order to demonstrate a sustained trend in neo-Victorian poetry of hostility to “eminent Victorians” while acknowledging, in a much less iconoclastic fashion, the enduring force of his work

Thermal-mechanical analysis of a power module with parametric model order reduction

This paper presents parametric model order reduction (pMOR) by the Lagrange approach of matrix interpolation for the thermal-mechanical and reliability study of a power electronics module (PEM) with nonlinear behaviours. Most pre-vious research in model order reduction (MOR) studies reports thermal-mechanical simulations using a sequentially coupled method. In this research, a direct-coupled thermal-mechanical analysis, which simultaneously solves the thermal and structural governing equations, has been used to obtain thermal and defor-mation results. Furthermore, for pMOR, the linear approach of matrix interpolation is limited to linear changes between sampled-parametric points. Hence, a new way of interpolating system matrices using the Lagrange interpolation method has been adopted to implement the matrix interpolation efficiently. The parametric reduced-order model (pROM) solution by the Lagrange approach of matrix interpolation agrees well with the full-order model (FOM) and takes similar computational time as the linear (bi-linear) approach of matrix interpolation. pROM simulations offer up to 85.5 % reduction in computational time

The association of total pulses with the efficacy of repetitive transcranial magnetic stimulation for treatment-resistant major depression: A dose-response meta-analysis

Aim This study aimed to examine dose-effects of total pulses on improvement of depressive symptoms in patients with treatment-resistant depression (TRD) receiving repetitive transcranial magnetic stimulation (rTMS) over the left dorsal lateral prefrontal cortex (DLPFC). Materials and methods The MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), EMBASE, PsycINFO, and ClinicalTrial.gov databases were systematically searched. We included randomized, double-blind, placebo-controlled trials (RCT) that used rTMS over left DLPFC in patients with TRD. Excluded studies were non-TRD, non-RCTs, or combined other brain stimulation interventions. The outcome of interest was the difference between rTMS arms and sham controls in improvement of depressive symptoms in a dose-response manner. A random-effects meta-analysis and dose-response meta-analysis(DRMA) was used to examine antidepressant efficacy of rTMS and association with total pulses. Results We found that rTMS over left DLPFC is superior to sham controls (reported as standardized mean difference[SMD] with 95% confidence interval: 0.77; 0.56–0.98). The best-fitting model of DRMA was bell-shaped (estimated using restricted cubic spline model; R2 =0.42), indicating that higher doses (>26,660 total pulses) were not associated with increased improvement of depressive symptoms. Stimulation frequency(R2 =0.53) and age(R2 =0.51) were significant moderators for the dose-response curve. Furthermore, 15–20 Hz rTMS was superior to 10 Hz rTMS (0.61, 0.15–1.10) when combining all doses. Conclusions Our findings suggest higher doses(total pulses) of rTMS were not always associated with increased improvement of depressive symptoms in patients with TRD, and that the dose-response relationship was moderated by stimulation frequency and age. These associations emphasize the importance of determining dosing parameters to achieve maximum efficacy

Building data driven culture for digital competitiveness in construction industry: a theoretical exploration

Despite studies related to big data in construction is growing, most of them have focused more on data application and less on the social element of the big data technology (e.g., data culture). This study aims to explore the key elements of data culture practices, towards providing a deeper insight into how they could drive digital competitiveness in the industry. A total of 136 papers related to big data in construction published in peer-reviewed journals were reviewed and analysed using the well-established systematic literature review (SLR) methodology. The findings indicate that four key drivers of data: data analytics, data literacy, data democratization and data leadership are critical for organisation’s competitiveness in digital environment. A framework for data driven culture is proposed consisting of five elements: culture of production, culture of use, cultivation of data, datafication and data infrastructure. As cultural shifts are complicated endeavors, exploring the key elements on what it takes to drive the data culture in construction is necessary for the development of an effective digital ecosystem of the organisation. This study extends the digital literature in the construction context by providing deeper insights into the conceptualisation of data driven culture

The built environment’s contribution to the progress of the Sustainable Development Goals

It is now more than six years since the United Nations (UN) Sustainable Development Goals (SDGs) were agreed to be achieved by all member countries by 2030. While the deadline is approaching fast, still much of the counties are not on track to achieve these goals by the set deadline. This is further supplemented by COVID with a negative impact on the progress on these goals worldwide, but the progress of developing countries was particularly derailed. The aim of this chapter is therefore to explore the progress of UN SDGs in developing countries with a specific reference to the contribution of built environment. The discussion reveals that Goal 6 (clean water and sanitation), Goal 7 (affordable and clean energy), Goal 8 (decent work and economic growth), Goal 9 (industry innovation and infrastructure), Goal 11 (sustainable cited and communities), and Goal 12 (responsible consumption and production) are the key goals where most of the developing countries are facing major challenges. At the same, these are goals where the built environment can play a vital role in their progress and achievement. Finally, the chapter provides an insight of several aspects of built environment sector which can excel the progress these and other SDGs in the context of developing countries – establishing a great contribution of built environment on the progress of SDGs

Experimental animation as pedagogical practice

The effect of animation on learning has been the subject of several studies involving undergraduate students and primary education children (Lowe & Schnotz,) with evidenced effects on the effect of animation on language learning (Kittidachanupap 2012). While experimental animation has long been neglected as a pedagogic strategy, recent research (Honess Roe 2013; Harris, Husbands, and Taberham 2019) points to their inherent potential for learning and teaching. This research presents two examples of experimental animation applications for student learning across two UK universities: The MOVEMENT skills workshops series -a recent pedagogic research activity between the University of Greenwich and the University of the Arts London- investigates the potential for experimental animation to contribute to learning through experimental skills workshops (Figure 1). In combining diverse conventional and unconventional animation techniques within a non-narrative space, experimental animation practices promise to offer a rich contextual background for learning. The AHRC-funded p_ART_icipate project highlights the potential for experimental practices to bridge the gap between undergraduate research and practice-based skills development: Together, these two pedagogic activities examined the following research question: ‘Are experimental animation techniques an effective instrument for teaching and learning?’ Across these two case studies, we discuss whether process-led, participatory, research and innovation-focused workshops have the potential to yield tangible learning outcomes and outputs, in that students are able to co-author their own experimental approaches. This paper presents both an analysis into the mode of the MOVEMENT workshop series and the KIMA: Noise project - part of the p_ART_icipate research - in analysing formats, outputs and outcomes and critically reflecting on the potentials and pitfalls of an experimental, process-based mode of facilitation

VMLA0014: Written evidence submitted by Ayesha Riaz (University of Greenwich)

Report: no abstract available

Literary Fiction Tourism: Understanding the Practice of Fiction-inspired Travel

This timely and insightful book critically reviews the synergistic relationship between books, literary culture, and the practices of tourism. The volume sets literary fiction tourism within its historical, theoretical, and managerial context and explores the current provision of literary tourism sites and experiences. It focuses on literary fiction and the interplay between imaginative worlds, literary reputation, and tourism. The volume explores a variety of literary tourism forms in a global context such as biographical sites, imaginative sites, literary trails, and book towns, identifying the challenges associated with interpreting and managing them for visitors. Current international case studies allow readers to understand this most ancient of touristic activity within its contemporary context. This book offers new insight into the diversity of the literary tourism landscape, the range of experiences and visitors and the variety of interpretive responses that may be appropriate. The relationship between literary fiction and other forms of media such as film and digital culture are also explored. International in scope, this volume will be of interest to students of tourism, heritage studies, cultural studies, and media studies, as well those interested in literary tourism more specifically

Using artificial odors to optimize attractiveness of host decoy traps to malaria vectors

Malaria vector surveillance tools often incorporate features of hosts that are attractive to blood-seeking females. The recently developed host decoy trap (HDT) combines visual, thermal, and olfactory stimuli associated with human hosts and has shown great efficacy in terms of collecting malaria vectors. Synthetic odors and yeast-produced carbon dioxide (CO2) could prove useful by mimicking the human odors currently used in HDTs and provide standardized and easy-to-use olfactory attractants. The objective of this study was to test the attractiveness of various olfactory attractant cues in HDTs to capture malaria vectors. We compared 4 different odor treatments in outdoor field settings in southern Benin and western Burkina Faso: the standard HDT using a human, HDT with yeast-produced CO2, HDT with an artificial odor blend, and HDT with yeast-produced CO2 plus artificial odor blend. In both experimental sites, the standard HDT that incorporated a real human produced the greatest catch of Anopheles gambiae s.l (Diptera: Culicidae). The alternatives tested were still effective at collecting target vector species, although the most effective included CO2, either alone (Benin) or in combination with synthetic odor (Burkina Faso). The trap using synthetic human odor alone caught the fewest An. gambiae s.l. compared to the other baited traps. Both Anopheles coluzzii and Anopheles gambiae were caught by each trap, with a predominance of An. coluzzii. Synthetic baits could, therefore, represent a more standardized and easier-to-deploy approach than using real human odor baits for a robust vector monitoring strategy

Innovation, market power and the labour share: evidence from OECD industries

Two issues remain overlooked in the growing research effort on the relationship between innovation, market power and labour share. One is the simultaneous determination of innovation, market power and labour share as endogenous outcomes. The second is the role of market power as a confounder that affects both innovation and labour share at the same time. We address both issues by adopting a simultaneous equations approach and using EU-KLEMS data from 1995-2019 on 31 OECD industries and 12 countries. Our findings indicate that: (i) innovation always increases with markups, particularly when the latter increase from a high initial level; (ii) market power always increase with innovation, particularly when the latter is extended to include marketing and organisational innovation; (iii) the effects of market power on labour share are always more adverse than the innovation effects; and (iv) the combined effect of labour-market institutions and human capital is not sufficient to reverse the adverse effect of market power on labour share. Our findings indicates that the major driver of the decline in labour share is not technological innovation per se, but the extent of market power that allows innovators to extract innovation rents