Recurrent urinary tract infection (rUTI) is common, debilitating, and associated with substantial negative impact on quality of life. Despite this, rUTI healthcare is often experienced as fragmented, dismissive, and poorly aligned with patient needs. Applying behavioural science theory to systematically identify modifiable intervention targets offers a promising but unexplored approach to improving rUTI care. To explore patient experiences of rUTI healthcare in the United Kingdom, identify barriers to and facilitators of quality care, and generate theory-informed targets for behaviour-change intervention and service improvement. Qualitative interview study using reflexive thematic analysis, followed by deductive mapping of themes to the Theoretical Domains Framework (TDF), Behaviour Change Technique Taxonomy (BCTT), and Behaviour Change Intervention Ontology (BCIO). Semi-structured one-to-one interviews with 26 adults living with rUTI in the United Kingdom, with the interview schedule informed by the TDF. Four barrier themes revealed systematic challenges: 'Struggling with the System,' 'Unheard Voices,' 'Shouldering Blame' and 'Forced to Become an Expert.' Together, these captured how diagnostic limitations, fragmented services, clinical dismissal, and individualised blame compel people living with rUTI into self-advocacy experienced as exhausting. Four facilitator themes demonstrated that quality care is achievable: 'Feeling Validated,' 'Partners in the Puzzle,' 'Continuity and Connection' and 'Expanding the Toolkit.' All 14 TDF domains were implicated, most frequently 'social influences,' 'beliefs about consequences,' 'environmental context and resources' and 'knowledge,' indicating improvement requires both system restructuring and interpersonal skill development. Mapping to the BCTT and BCIO identified specific intervention techniques targeting these domains. People living with rUTI face structural and relational challenges in healthcare that compound illness burden. When individuals feel believed, involved, and supported, rUTI healthcare experiences are transformed. By integrating reflexive thematic analysis with behavioural theory, this study demonstrates that improving rUTI care requires attention to both system-level factors such as diagnostic flexibility, service continuity, and treatment options, alongside relational factors, particularly validation and shared decision-making. These findings provide a theoretically grounded foundation for intervention development, with broader relevance for chronic conditions characterised by diagnostic uncertainty.

This article proposes a novel theoretical framework for the study of cultural resilience in the context of historical disasters. Defined as the cultural practices by which communities cope with current calamities, past disasters, and possible future threats, cultural resilience can be divided into four basic elements: sense-making, charity, commemoration, and – as a result of the previous three – community building. We further distinguish both social and temporal dimensions. The social dimension pertains directly to those communities involved with the disaster, whereas the temporal dimension refers to the way in which sense-making, charity, and commemorative practices relate, not only to the past and the present, but also the future. The framework is illustrated with two historical case studies: eighteenth-century conflagrations – the devastating fires that befell several Dutch towns – and the 1953 North Sea Flood. • Introduces a novel theoretical framework for the cultural history of disasters revolving the concept of cultural resilience. • Outlines four elements that constitute cultural resilience: (1) sense-making, (2) mobilizing charity, (3) commemoration, and (4) community building. • Applies the model to two illustrative case studies from the Netherlands: late-eighteenth-century fire disasters and the North Sea Flood of 1953. • Suggests avenues for further research, including the adverse sides of community building.

This article explores the intricate relationship between human musicianship and machine music through the lens of ‘machine aesthetics’ – a concept that encompasses both music derived from machines and music that mimics these expressions. Machine aesthetics gains particular relevance in contexts where musicians replicate effects typically achieved with drum machines, samplers and digital audio workstations. By examining live performances that closely mimic the sonic elements of machine music, we aim to provide a nuanced understanding of this aesthetic. Drawing on Barry Brummett’s theoretical framework from Rhetoric of Machine Aesthetics (1999), which categorizes machine aesthetics into ‘mectech’, ‘electrotech’ and ‘chaotech’, we clarify some often-conflated concepts and apply the framework to music analysis. We suggest that integrating these concepts into analyses can enhance our understanding of the causal and imaginative relationships between musical expressions and machines. This exploration underscores the interplay and dynamically perceived boundaries between human creativity and machine-driven elements in music, which continue to enrich and redefine contemporary music practices.

Why aren't electric vehicles taking over? Exploring the drivers and barriers to adoption: a systematic review, theoretical framework, and future directions

This article analyzes how public policies implemented by the State of Santa Catarina have incorporated the perspective of racial equality and identifies the main challenges and advances pointed out by the Santa Catarina State Court of Accounts (TCE/SC) in addressing institutional racism within public institutions. The theoretical framework is based on studies on structural and institutional racism, public policies for racial equality, and diversity management in the public sector. Methodologically, this is a qualitative documentary study grounded on the analysis of the Operational Audit Report DAE No. 46/2023, complemented by secondary data from IBGE, IPEA, and DIEESE, as well as a specialized literature review. The results indicate the persistent underrepresentation of the Black population in the state public administration, weaknesses in the production and use of race-disaggregated data, the absence or incipient development of structured racial equality policies in several public agencies, and the existence of institutional barriers that hinder substantive equality of opportunities. On the other hand, relevant advances were identified, especially within the TCE/SC itself, such as the implementation of affirmative action in public service examinations, racial literacy programs, and the creation of permanent bodies dedicated to promoting racial equity. It is concluded that, although promising initiatives exist, the incorporation of the racial perspective into state public policies remains fragmented and requires greater institutionalization, strategic planning, and strengthening of external control as a driver of anti-racist practices in public administration.

Impact of a brief HRV-biofeedback intervention on emotion regulation following a real-life stressful event: A randomized controlled study.

Coupled disaster mechanisms and theoretical framework in multi-hazard scenarios: insights from non-coal mines

As the development of intelligent ships rapidly progresses, the importance of maritime network security escalates. Intrusion Detection Systems (IDS) serve as a pivotal defense mechanism against cyberattacks targeting these vessels. To augment the efficacy of IDS in detecting anomalous network traffic, this paper introduces a novel intrusion detection method utilizing both Transformer and Kolmogorov-Arnold Networks (KAN), designated as Transformer-KAN. This approach effectively mitigates the limitations of traditional intrusion detection algorithms, which include inadequate feature extraction capabilities and the excessive parameterization required to delineate complex patterns. The proposed method employs a Transformer encoder to discern long-range dependencies within input sequences, while KAN layers enhance the model’s ability to approximate complex patterns through non-linear transformations. This integrative strategy ensures elevated accuracy for the intrusion detection algorithm and proves particularly beneficial in intelligent ship environments, where training data may be sparse or computational resources limited. Experimental results confirm that the Transformer-KAN model attains exceptionally high accuracy in both binary and five-class classification tasks, outperforming the capabilities of standalone Transformer and KAN models. Comparative analyses with conventional algorithms—such as Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), Deep Belief Networks (DBN), and Support Vector Machines (SVM)-further substantiate the superior effectiveness of the proposed method. This research establishes a new theoretical framework and provides a direction for the practical implementation of network security measures in contemporary intelligent ships.

This study examined the relation between HEXACO personality traits and the experience of everyday boredom. Grounded in the theoretical frameworks concerning both boredom and personality, we particularly focused on the link and underlying mechanisms of conscientiousness and state boredom. Three studies-two daily diary studies and one experience sampling study-were conducted. Across the three studies, with 401 Chinese participants answering around 5900 daily episodes, the results consistently demonstrated that trait conscientiousness was a negative predictor of everyday boredom. State conscientiousness explained the conscientiousness-boredom relation. More importantly, situational meaning moderated the conscientiousness-boredom relation in the way that conscientious people were less likely to feel bored even in situations that were less meaningful to them. The implications of these findings are discussed.

High-performance of starch-protein edible films with interpenetrating networks via reactive extrusion for food milk powder preservation.

Advancements in cancer stem cell therapy: The effective integration of traditional Chinese medicine and nanotechnology.

Preferences of Dutch pregnant women for RSV immunisation - a mixed method study.

Synergistic interplay between quorum sensing and direct interspecies electron transfer enhances anaerobic granular sludge resilience under toxic stress.

Gravity as a contextual control parameter in coordination dynamics: Phase-specific stability during parabolic flight.

Educational disparities in digital inequality: Relationships between online activities and online harms.

The financial landscape is dynamic and has shifted; the involvement of Generation Z (Gen Z) in investment has kindled several studies. Earlier studies utilised the Theory of Planned Behavior to assess investment behavior; however, it has yet to consider the driving components that shape such investment decisions. Thus, this study aimed at integrating the theory of basic psychological needs with the theory of planned behavior, particularly in the context of Generation Z equity investment intentions. This posits that those basic psychological needs, mainly need satisfaction and frustration (autonomy, competence, and relatedness), shape equity investment intentions through attitude, subjective norms, financial self-efficacy. To empirically validate this complex structural model, we utilised PLS-SEM on responses collected from MBA students from NIRF-ranked institutions in India. The findings suggest that need satisfaction is more relevant than need frustration in predictors of planned behavior (i.e., attitude and subjective norms). However, only attitude significantly mediates the relationship between need satisfaction and equity investment intention. This research has implications for marketers, by identifying intrinsic motivation factors for Gen Z members to increase participation in the market. Another contribution lies in that it provides theoretical integration between two major psychological and behavioral frameworks, hence contributing to the enhancement of current research. Bringing together these two leading psychological frameworks yields valuable insights into the process of financial decision-making. This work proposes an original theoretical framework that reveals the underlying determinants of intention to invest.

Decoding the social mind in depression: A computational dissociation between explicit trust and implicit belief updating.

Youth's Coping Dynamics in Responding to Parental Bereavement: A Thematic Synthesis.

Dynamic intergenerational support and anxiety-depression in aging: Insights from latent transitions to symptom networks.

Ubiquitin regulatory code: unraveling tumor cell ferroptosis.