- Research Article
- 10.1016/j.dibe.2026.100907
Individual route choice and decision responses in fire evacuation scenarios using immersive virtual simulations
- Apr 01, 2026
- Developments in the Built Environment
- Gisung Han + 4 more +4
Publications from 2021 to 2026
Showing 10 of 215 papers
Individual route choice and decision responses in fire evacuation scenarios using immersive virtual simulations
A Brontë Reading List: 2023
This reading list is an annotated bibliography of scholarly and critical work on the Brontës published in 2023. We have attempted to compile a comprehensive list of resources by consulting the MLA International Bibliography, Academic Search Complete, and the Brontë Blog (http://bronteblog.blogspot.com). Book chapters and scholarly articles on the Brontës are included except those articles published in Brontë Studies. Entire books on the Brontës are in the reviews section of this journal. The author’s initials in brackets are provided after each annotation.
Read moreTumor organoids on-a-chip and the role of AI in predictive oncology and personalized cancer medicine
The drug development process in cancer faces significant challenges due to high failure rates in translational studies despite promisingin vitroresults. Additionally, conventional animal models exhibit inherent limitations and ethical concerns, constraining their relevance to cancer studies. Recognizing the pivotal role of the tumor microenvironment (TME) on cancer development and treatment outcomes, recent advancements in 3D microfluidic devices and tumor-on-a-chip models enabled researchers to explore the TME with enhanced accuracy and reliability, yielding novel insights. Notably, the emergence of physiological tumor models, particularly 3D models such as organoids derived from human tissues, provides a more accurate representation ofin vivotumor features. Moreover, 3D tumor models hold promise for diverse applications, including high-throughput drug testing, disease modeling, and regenerative medicine. Meanwhile, combining artificial intelligence (AI) with patient-derived tumor organoids has become a key strategy in predictive oncology and personalized cancer treatment. Furthermore, incorporating quantitative systems pharmacology and physiologically based pharmacokinetic modeling, and pharmacokinetics/pharmacodynamics analysis with generative AI (Gen-AI) has revolutionized predictive oncology by enabling precise simulations of drug interactions and patient-specific responses, thereby enhancing the predictive accuracy of personalized cancer treatments. These advanced methodologies harness the power of AI algorithms to analyze intricate datasets derived from patient-specific tumor organoids. Moreover, the predictive modeling capabilities of Gen-AI facilitate the development of personalized treatment strategies customized for each patient, thereby revolutionizing oncology practice. This review explores the synergistic impact of tumor-on-a-chip models, organoids derived from patient tumors, and Gen-AI. Together, these technologies mark a significant advancement in precision medicine, offering promising opportunities to improve therapeutic effectiveness and treatment outcomes in cancer care.
Read moreNursing After Virtue: Revisiting the Work of Derek Sellman
ABSTRACTBetween 1997 and 2009 Derek Sellman published a series of articles that explore the question: what makes a good nurse. To answer this question, Sellman engaged at length with the virtue ethics of Alisdair MacIntyre. Sellman contends that modern nursing is a professional practice, in the sense of practice described by MacIntyre. Based on nursing's ends and moral tradition, therefore, certain professional virtues can be collectively discerned and then nurtured in developing nurses. Contemporary bioethics approaches, including consequentialism, which tend to dominate ethics in nursing, are largely dismissive of virtue ethics. Sellman offers a corrective, proposing MacIntyrean virtue ethics as a solution to the loss of attention to a nurse's character in current ethical theorising within nursing. He proposes the virtues of open‐mindedness and trustworthiness as required for nurses to respond to patients and their families or carers; patients, Sellman argues, who are more‐than‐ordinarily vulnerable. In revisiting Sellman's work, I consider its importance, reflect on the profession's engagement with it, and examine a few of the challenges it presents. Throughout the analysis, I explore MacIntyre's approach in the context of philosophical shifts in the mid‐20th century, specifically in relation to moral philosophy and the aretaic turn, and social sciences. The value of contextualising nursing scholars' work in philosophy, and specifically moral philosophy, is presented, with a call to more explicit integration of moral theorising and cognitive science.
Read moreGreenwashing and the efficiency of new information price discovery
• We examine how corporate greenwashing influences firms’ information environment. • We find slower price adjustments to new information following greenwashing incidents. • Deceptive greenwashing garbles information environment, which hampers pricing efficiency. Leveraging RepRisk’s assessments of controversies related to firms’ environmental, social, and governance (ESG) practices between 2007 and 2018, we examine how corporate greenwashing influences a firm’s information environment and investor behavior. Using a staggered difference-in-difference (DiD) framework, our analysis reveals prices adjust to new information significantly more slowly when companies engage in greenwashing. In cross-sectional tests, we further show that greenwashing incidents have less of an impact on price discovery efficiency for firms with high ESG ratings and a stronger impact for firms with high institutional ownership. These findings suggest that investors react unfavorably to greenwashing events, perceiving them as garbling the information environment, which hampers the efficiency with which new information is incorporated into stock prices.
Read moreDomain-Adversarial Transfer Learning for Urban Crime Forecasting: A Case Study of the Surrey—Langley SkyTrain Expansion
This paper investigates domain-adversarial transfer learning for small-area crime forecasting around the Sur-rey-Langley SkyTrain (SLS) expansion in British Columbia, Canada. A two-stage pipeline is proposed: it first trains a Domain-Adversarial Neural Network (DANN) on multi-city data (Surrey and Coquitlam) to learn domain-invariant representations from seasonal-average crime outcomes, coupled with rich covariates: socioeconomic and demographic indicators, transit accessibility, and region-popularity. The pipeline then freezes the extracted features and fits a LightGBM model to predict spatiotemporal crime patterns in the target city (Langley). Timeforward, cross-city evaluations show that DANN-derived features yield better generalization than city-specific models, pooled nonadversarial baselines, and LightGBM trained on raw inputs. Finally, scenario-based forecasts were executed for Langley under simulated post-SLS transit accessibility, producing fine-grained risk maps that highlight potential shifts near the future corridor and station areas. The results indicate that pairing adversarially learned, domain-robust representations with a strong tabular learner offers an effective strategy for transferring knowledge across municipalities and forecasting infrastructure-induced changes in urban safety. A key contribution of this work lies in demonstrating that such a transfer-learning pipeline can support planning decisions for data-scarce municipalities preparing for major transit expansions, where no local historical analogue exists.
Read moreIndoor Virtual Reality Navigation Incorporating Inclusion, Diversity, Equity, and Accessibility
This paper presents the development of a Virtual Reality (VR) indoor navigation system for a university building that incorporates the principles of Inclusion, Diversity, Equity, and Accessibility (IDEA). The system integrates 3D modeling, VR interactions, navigation, and user interface design to create an immersive and accessible experience for students, faculty, and visitors. The system supports detailed indoor modeling, searchbased navigation, and accessibility-focused pathways to facilitate orientation, virtual campus tours, and future virtual events or classes. Key components include 3D environment modeling using Rhino and Blender, VR integration and interaction in Unity, and a map-based navigation and search system with accessibility features for wheelchair users. The project contributes to inclusive digital campus experiences, offering both standard and wheelchair-accessible modes, and demonstrates how VR can improve orientation and accessibility in higher education environments.
Read moreThe Effect of Light on Plant Growth and Physiology of Acmella radicans and A. paniculata in China
Acmella radicans (Jacquin) R.K.Jansen is an annual herb native to Central America. In China, it is becoming increasingly invasive and often co-occurs with the native congener A. paniculata (Wall. ex DC.) R.K.Jansen in some habitats. In order to understand the invasion mechanism of A. radicans, we investigated the growth parameters of both the invasive A. radicans and the native congener, A. paniculata, under different light conditions (5%, 25%, 50%, 75%, and 100% of light availability) using potted plants in a glasshouse. Light level, plant species, and their interaction were significant, with plant species generally having a greater effect than light level. Acmella radicans and A. paniculata showed great phenotypic plasticity to various light intensities and had a similar trend with increased shade. The plasticity indices of all parameters of A. radicans, except for branch length and inflorescence number, were greater than those of A. paniculata under the same light intensity. The physiological parameters for A. radicans under both favorable (high light intensity) and unfavorable (low light intensity) conditions showed less inhibition than those of A. paniculata. All these responses indicated that A. radicans had greater phenotypic plasticity and higher adaptability to low light, which may contribute to its invasion success.
Read moreEarly childhood education and social change: a literature review
Social justice has been a topic of social change that has typically been introduced in education at the pre-teen or teenager level of development. However, recent studies have uncovered there is value in introducing social justice issues at a much younger age. The purpose of this literature review is to establish a foundation for the need to introduce social justice issues at the earliest opportunity, specifically during early childhood education. This review focuses on qualitative studies from 2019–2024 that focus on the need to incorporate social justice into early childhood education, including the challenges and successes. Key focus areas include curriculum development, supplementary materials, educator roles, and the role of school leadership. The findings show young children understand social justice issues at their developmental level, and that educators need to be equipped advocates to foster this understanding. There is also a need to focus on implementing a social justice curriculum that will have a positive influence on students and their families, as well as educators, with the goal of increasing awareness of social issues and promoting a more inclusive and equitable society.
Read moreEnhancing History of Architecture Education in India: Redefining the Curriculum for Competency Development Using Curation as a Teaching Method
This paper is part of the ECE2025 Conference Proceedings (View) Full Paper View / Download the full paper in a new tab/window
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