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    Spirits of Place: The English Picturesque in Post-Second World War Audiovisual Narratives

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    This thesis offers a detailed, work-by-work chronological study of the picturesque in a small number of carefully chosen country house screen narratives, from the period 1949-1982. Each chapter deals with one of these works: Kind Hearts and Coronets (Robert Hamer, 1949); The Go-Between (Joseph Losey, 1971); The Ruling Class (Peter Medak, 1972); Brideshead Revisited (Charles Sturridge and Michael Lindsay-Hogg, 1981); and The Draughtsman's Contract (Peter Greenaway, 1982). These screen fictions are not representative of country estate screen narratives in general, nor are they typical of their directors' oeuvres. The most significant trend is a topos; they all feature a specific type of figure set in a picturesque landscape: a male protagonist who visits a country estate and whose status as an outsider there is largely articulated through his perception of the landed family and its estate. Each figure performs in a picturesque landscape; in the process, he alters, and is altered irrevocably by, the estate. He becomes its genius loci (spirit of place). What was, in 1949, a somewhat unusual landscape narrative, became a small, but highly significant, groundbreaking genre between 1971 and 1982. Through this combination of case studies, I chart a history of innovation in the deployment of country estates in post-Second World War film and television. Heritage criticism tends to see landscapes in screen fictions as pauses in, or distractions from, narrative. This thesis develops an alternative approach to analysing and historicising audiovisual narratives set in picturesque landscapes. It examines the way the chosen works establish a reciprocal relationship between location and narrative. It argues that landscape history plays an integral role in such fictions and that landscape historiography is, therefore, a valuable hermeneutic tool for the analysis of these narratives, yielding new insights into a distinctly English genre

    Visual Event Detection over AI-Edge LEO Satellites with AoI Awareness

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    Non terrestrial networks (NTNs), particularly low Earth orbit (LEO) satellite systems, play a vital role in supporting future mission critical applications such as disaster relief. Recent advances in artificial intelligence (AI)-native communications enable LEO satellites to act as intelligent edge nodes capable of on board learning and task oriented inference. However, the limited link budget, coupled with severe path loss and fading, significantly constrains reliable downlink transmission. This paper proposes a deep joint source-channel coding (DJSCC)-based downlink scheme for AI-native LEO networks, optimized for goal-oriented visual inference. In the DJSCC approach, only semantically meaningful features are extracted and transmitted, whereas conventional separate source-channel coding (SSCC) transmits the original image data. To evaluate information freshness and visual event detection performance, this work introduces the age of misclassified information (AoMI) metric and a threshold based AoI analysis that measures the proportion of users meeting application specific timeliness requirements. Simulation results show that the proposed JSCC scheme provides higher inference accuracy, lower average AoMI, and greater threshold compliance than the conventional SSCC baseline, enabling semantic communication in AI native LEO satellite networks for 6G and beyond

    Meta-Regression Insights for Optimizing Accelerated Neuromodulation Protocols in Major Depression

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    Accelerated neuromodulation, which involves multiple daily sessions of repetitive transcranial magnetic stimulation (rTMS), is increasingly recognized as a time-efficient and clinically effective treatment for major depressive episodes, including treatment-resistant and bipolar depression. Given the considerable variability in stimulation parameters and therapeutic outcomes, this study aims to provide preliminary insights to optimize accelerated excitatory rTMS protocols for enhanced clinical efficacy. We performed a meta-regression analysis including controlled and uncontrolled trials reporting the effect of high-frequency prefrontal cortex accelerated rTMS (arTMS) and intermittent Theta Burst Stimulation (aiTBS) on depression response rate in patients diagnosed with major depressive disorder, treatment-resistant depression and bipolar depression (both men and women, all ages). The systematic search identified 25 arTMS/aiTBS interventions in depression studies with 5 or more participants, totaling 810 participants and 722 stimulation sessions. Meta-regression analysis revealed a significant dose–response relationship in clinical outcomes. Both a higher number of pulses and a greater total number of sessions (i.e., more than 20) were associated with enhanced antidepressant effects. Additionally, longer intersession intervals (≥ 50 minutes) appeared to positively influence treatment effectiveness. No significant differences emerged between stimulation modalities (iTBS vs. arTMS) or methods of target localization. Despite some limitations, these findings provide preliminary evidence of the significant impact that parameter settings in accelerated rTMS protocols have on clinical outcomes, offering valuable guidance for the future optimization of neuromodulation strategies in the treatment of depression

    Gurkha Veterans' Narratives of Mental Health, Activism, and Justice

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    Gurkhas are soldiers from Nepal who have served in the British Army for over 200 years. They form a unique yet historically marginalised part of Britain’s military legacy (Caplan, 1995; Des Chene, 1991). Despite being celebrated in service, they have faced longstanding inequalities such as pension rights and welfare provision. Activism has become central to Gurkha public life with the ongoing pension disparity remaining a key focus (British Gurkha Case, 2024; Thurley, 2021). Little is known about how Gurkha veterans experience activism, despite its significance for their collective identity. There is a growing UK Nepali community, which includes a significant number of Gurkha veterans and their families (Office for National Statistics, 2023). Evidence shows that this population underutilises mental health services, highlighting the need to understand their lived experiences (Thake, 2014; Simkhada et al., 2021; Jones, Palmer & Bhui, 2022). This study explored five Gurkha veterans’ narratives of mental health, activism, and justice, analysed through Narrative Analysis (Riessman, 2008) through the lenses of Postcolonial and Critical Race Theory. Three collective storylines emerged: stories of awakening, stories of enduring, and stories of holding on. The key finding was trauma, which was experienced as historical, intergenerational, and ongoing. For Gurkha veterans, distress was cumulative and moral rather than confined to discrete events. This shaped how participants remembered, grieved, and sought justice. Consistent with critical trauma theorists, these findings highlight how suffering reflects structures of power and oppression (Herman, 1992; Fanon, 1963; Brave Heart, 1998). Clinical implications include the need for culturally meaningful, trauma-informed models of care and the recognition of activism as a site of both psychological burden and healing. Recommendations are made for individual, policy, and community-based responses in working with this community

    Examining Strength-Based Characteristics in Adults with ADHD

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    Aim: To explore strengths-based self-concept in adults diagnosed with ADHD and to develop and conduct a preliminary psychometric evaluation of a novel self-report measure of self-perceived ADHD-related strengths (the ADHD Strengths Identification Questionnaire; ASIQ). Method: A novel self-report measure, the ASIQ, was developed based on a synthesis of qualitative literature and expert feedback from adults with ADHD. Data were collected via an online survey from 167 adults with a formal ADHD diagnosis. Exploratory factor analysis (EFA) was employed to establish the factor structure and internal consistency of the ASIQ. Independent samples t-tests, ANOVAs, and ordinal regression analyses assessed the relationship between strength identification and demographic variables including gender, education, socioeconomic deprivation, and ADHD treatment history. Results: EFA supported a two-factor, 12-item solution: Cognitive Adaptability and Creative–Divergent Thinking, with acceptable preliminary internal consistency. Descriptively, participants reported moderate-to-high endorsement of strengths across both domains. In univariable analyses, Creative–Divergent Thinking differed by gender and Cognitive Adaptability differed by educational attainment; deprivation and treatment history were not significantly associated with ASIQ scores. In combined models, demographic predictors were not statistically significant, suggesting that any subgroup effects were modest and should be interpreted cautiously. Discussion: These findings provide preliminary empirical support for the idea that adults with ADHD recognise positive strengths associated with their condition. The two-factor structure of the ASIQ mirrors themes from previous qualitative studies, suggesting a convergence between lived experiences and measurable strengths domains. Gender and education differences emerged in strength endorsement, though these results should be interpreted cautiously due to sample imbalances. Importantly, this research is in an early, exploratory stage - the ASIQ is not yet ready for clinical use. Nonetheless, the work highlights the potential value of strengths-based approaches in ADHD. Integrating an awareness of cognitive adaptability and creative-divergent thinking into post-diagnostic support and therapy could help adults with ADHD develop a more balanced and positive self-concept. Future research will need to validate the ASIQ through further psychometric testing (e.g. confirmatory factor analysis, broader samples) and establish how these strength domains relate to real-life outcomes. This initial evidence, however, underscores that viewing ADHD through a dual lens of challenges and strengths can enrich clinical practice and research, aligning with neurodiversity-affirmative perspectives

    Finding the common good in divided societies : The benefits of self-interest in transitional justice interactions

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    Post-conflict transitional justice aims to nurture constructive dialogue between members of formerly opposed groups. Expressions of self-interest are often deemed antithetical to this because they can be framed as interest pertaining to single group. We argue that expressions of self-interest can be beneficial to transitional justice dialogues. In sequences of interactions between individuals across group lines, expressions of interest are dynamic and can shift. We analyse how they can shift and how they result in a common good orientation based on a shared vision of justice. We draw on theories of self-interest in deliberative democracy and use Conversation Analysis, a micro-analytic approach to the analysis of turns in conversations, to capture this in transcripts from 12 multi-ethnic focus groups conducted in four former Yugoslav countries. The findings show that expressions of self-interest in transitional justice dialogues are more complex than previously theorised and can aid transitional justice

    Continuous Authentication Through Touch Stroke Analysis with Explainable AI (xAI)

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    Mobile authentication is crucial for device security; however, conventional techniques such as PINs and swipe patterns are susceptible to social engineering attacks. This work explores the integration of touch stroke analysis and Explainable AI (xAI) to address these vulnerabilities. Unlike static methods that require intervention at specific intervals, continuous authentication offers dynamic security by utilizing distinct user touch dynamics. This study aggregates touch stroke data from 150 participants to create comprehensive user profiles, incorporating novel biometric features such as mid-stroke pressure and mid-stroke area. These profiles are analyzed using machine learning methods, where the Random Tree classifier achieved the highest accuracy of 97.07%. To enhance interpretability and user trust, xAI methods such as SHAP and LIME are employed to provide transparency into the models’ decision-making processes, demonstrating how integrating touch stroke dynamics with xAI produces a visible, trustworthy, and continuous authentication system

    The impact of superradiance on the spin evolution of variably accreting massive black holes

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    This paper explores how time-varying increases in mass accretion onto rapidly spinning black holes influence their long-term spin evolution when affected by superradiance - a process where energy is extracted from the black hole by a surrounding axion field. Using simulations the study tracks how sudden accretion boosts affect a critical spin-down phase (the superradiance drop) during which the black hole's spin rapidly decreases while its mass remains nearly constant. The black hole spin evolution is controlled by the competition between two processes: how fast angular momentum is added through accretion, and how fast it is removed by the axion cloud. One major conclusion is that boosts to the accretion rate before the superradiance drop have the strongest effect, as they can delay or reshape the drop and significantly shrink the region of the mass-spin plane depopulated due to the superradiance. In particular, a super-Eddington accretion rate of 5 times Eddington accretion, lasting for 4 Myr and occurring 30 Myr before the superradiance drop can reduce the superradiance exclusion region in the mass-spin plane by 40 percent. In contrast, boosts to the accretion rate after the superradiance drop only cause temporary changes in the black hole spin. The study also shows that black holes with lighter axion clouds are more sensitive to these early boosts and can show observable spin changes lasting tens to hundreds of millions of years. Heavier axion clouds, however, require much stronger or longer-lasting boosts to produce similar effects, making them more stable under variable accretion

    Galaxy interactions in void substructures : Morphology and stellar populations of two triplets from CAVITY

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    Context. Cosmic voids are underdense regions of the Universe that provide a unique environment to study galaxy evolution in relative isolation. Galaxy triplets in voids are rare systems where local interactions may strongly influence galaxy properties. Aims. We study the stellar populations, morphologies, mass assembly histories, and dynamical properties of six galaxies belonging to two void triplets from the Calar Alto Void Integral-field Treasury surveY (CAVITY): CAVITY5273X and VGS31. Methods. We used integral-field unit spectroscopy and performed full spectral fitting with the FADO code, which models stellar and nebular emission simultaneously. Spatially resolved maps of stellar age, metallicity, and star formation rate were reconstructed using the integrated nested Laplace approximation. Morphological properties were derived using morfometryka, emission-line diagnostics were applied, and mass assembly functions were computed. Stellar masses and metallicities were compared to the mass-metallicity relation for void galaxies. Results. The two triplets show different evolutionary behaviours. CAVITY52731 is a massive quenched galaxy hosting an active galactic nucleus, while its companions and all galaxies in VGS31 are dominated by young stellar populations and recent star formation. Five galaxies experienced rapid stellar mass growth in the last 2 Gyr. Disturbed morphologies, including asymmetries and tidal features, indicate ongoing interactions. Galaxies in CAVITY5273X follow the expected void mass-metallicity relation, while VGS31 members show significant deviations. Conclusions. Our results show that local interactions can drive significant galaxy evolution even in the most underdense cosmic environments

    Lord of LRDs: insights into a 'Little Red Dot' with a low-ionization spectrum at z = 0.1

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    Recent observations by the James Webb Space Telescope (JWST) have revealed a puzzling population of optically red and compact galaxies with peculiar ‘V’-shaped spectra at high redshift, known as ‘Little Red Dots’ (LRDs). Until now, most spectroscopically confirmed LRDs are found at and it has been speculated that LRDs are tracing the early stages of black hole evolution. We report an independent rediscovery of a broad-line active galactic nucleus (AGN), SDSS J102530.29+140207.3, at , which shows spectral features matching those of LRDs seen in the early Universe, including the V-shaped spectrum, broad Balmer lines (with widths of 1000–2000 ), and deep Balmer absorption. We present a new GTC observation of this LRD, which reveals an optical continuum similar to those of G-to-K giant stars including an unambiguous G-band absorption originating from the CH molecule. In addition, this local LRD shows a series of absorption lines potentially related to low-ionization ions or atoms but are deeper than what is observed in empirical stellar templates. We further identify a series of [Fe ii] emission lines indicative of low-ionization gas, which we find also present in a JWST-selected LRD at . We find small but statistically significant variability in the H of SDSS J102530.29+140207.3 consistent with previous findings. Finally, we report new observations with NuSTAR. We confirm the extreme X-ray weakness of this LRD, which might imply Compton-thick gas obscuration with . All evidence suggests SDSS J102530.29+140207.3 has a complex gaseous environment and the strong ionic, atomic, and molecular absorptions are hard to explain with typical stellar and AGN models

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