Search Results (33,928)

Computer-Aided Design (CAD) software has long served as a foundation for planning and modeling in Architecture, Engineering, and Construction (AEC). In recent years, the introduction of Augmented Reality (AR) and Virtual Reality (VR) has significantly reshaped the CAD landscape, offering novel interaction paradigms that bridge the gap between digital prototypes and real-world spatial understanding. These technologies have enabled users to engage with 3D architectural content in more immersive and intuitive ways, facilitating improved decision making and communication throughout design workflows. As digital design services grow more complex and span multiple media platforms—from desktop-based modeling to immersive AR/VR environments—evaluating usability and User Experience (UX) becomes increasingly challenging. This paper presents a longitudinal usability and UX study of a multiplatform house design pipeline (i.e., structured workflow for creating, adapting, and delivering house designs so they can be used seamlessly across multiple platforms) comprising a web-based application for initial house creation, a mobile AR tool for contextual exterior visualization, and VR applications that allow full-scale interior exploration and configuration. Together, these components form a unified yet heterogeneous service experience across different devices and modalities. We describe the iterative design and development of this system over three distinct phases (lasting two years), each followed by user studies which evaluated UX and usability and targeted different participant profiles and design maturity levels. The paper outlines our approach to cross-platform UX evaluation, including methods such as the Think-Aloud Protocol (TAP), standardized usability metrics, and structured interviews. The results from the studies provide insight into user preferences, interaction patterns, and system coherence across platforms. From both participant and evaluator perspectives, the iterative methodology contributed to improvements in system usability and a clearer mental model of the design process. The main research question we address is how iterative design and development affects the UX of the heterogeneous service. Our findings highlight important considerations for future research and practice in the design of integrated, multiplatform XR services for AEC, with potential relevance to other domains. Full article

The philosophy of both Immanuel Kant and Karl Jaspers culminates in the motif of faith (the pure practical rational faith and the philosophical faith), but this similarity has received relatively little attention. The paper examines it with specific focus on three questions: First, can it be said that Kant advocates a narrower, morally bound conception of rational faith, while Jaspers holds a broader, existential conception? If so, what is the root of this “narrower”–“wider” distinction? Second, can we take Jaspers as “Kantian existentialist” with regard to his motif of philosophical faith? Third, what do these concepts imply in relation to Christianity? To what extent can philosophical standpoint co-exist with Christian belief? As for the first question, the interpretation shows that rather than narrower–wider, it is more appropriate to use the stricter (Kant)–looser (Jaspers) distinction in the concept of rational faith, that, (second), has in both cases different grounding. Third, contrary to seeming opposition, where Kantian faith tends to overlap with Christian belief while for Jaspers a philosopher cannot be a believer in traditional sense, both get to a “sibling proximity” on the one hand and tension to traditional religion on the other. Full article

Ecosystems are nonlinear systems that can shift between multiple stable states. Ecosystem service bundles (ESBs) integrate the supply and trade-offs of multiple services, yet the conditions for achieving high-supply and balanced states remain unclear from a nonlinear, threshold-based perspective. In this study, six representative ecosystem services in Fujian Province were quantified, and ESBs were identified using a Self-Organizing Map (SOM). By integrating the Multiclass Explainable Boosting Machine (MC-EBM) with the API interpretable algorithm, we propose a framework for exploring ESB driving mechanisms from a nonlinear, threshold-based perspective, addressing two key questions: (1) Which factors dominate ESB formation? (2) What thresholds of these factors promote high-supply, balanced ESBs? Results show that (i) the proportion of water bodies, distance to construction land, annual solar radiation, annual precipitation, population density, and GDP density are the primary driving factors; (ii) higher proportions of water bodies enhance and balance multiple services, whereas intensified human activities significantly reduce supply levels, and ESBs are highly sensitive to climatic variables; (iii) at the 1 km × 1 km grid scale, optimal threshold ranges of the dominant factors substantially increase the likelihood of forming high-supply, balanced ESBs. The MC-EBM effectively reveals ESB formation mechanisms, significantly outperforming multinomial logistic regression in predictive accuracy and demonstrating strong generalizability. The proposed approach provides methodological guidance for multi-service coordination across regions and scales. Corresponding land management strategies are also proposed, which deepen understanding of ESB formation and offer practical references for enhancing ecosystem service supply and reducing trade-offs. Full article

This paper focuses on the efficient fine-tuning of large language models within the federated learning framework. To address the performance bottlenecks caused by multi-source heterogeneity and structural inconsistency, a structure-aware federated fine-tuning method is proposed. The method incorporates a graph representation module (GRM) to model internal structural relationships within text and employs a segmentation mechanism (SM) to reconstruct and align semantic structures across inputs, thereby enhancing structural robustness and generalization under non-IID (non-Independent and Identically Distributed) settings. During training, the method ensures data locality and integrates structural pruning with gradient encryption (SPGE) strategies to balance privacy preservation and communication efficiency. Compared with representative federated fine-tuning baselines such as FedNLP and FedPrompt, the proposed method achieves consistent accuracy and F1-score improvements across multiple tasks. To evaluate the effectiveness of the proposed method, extensive comparative experiments are conducted across tasks of text classification, named entity recognition, and question answering, using multiple datasets with diverse structures and heterogeneity levels. Experimental results show that the proposed approach significantly outperforms existing federated fine-tuning strategies on most tasks, achieving higher performance while preserving privacy, and demonstrating strong practical applicability and generalization potential. Full article

Within the endeavour of describing and analysing delays and their propagations in air transport, a major limitation is represented by the validation of the obtained results. While this can be overcome through synthetic models, those available in the literature mostly aim at simulating the system in a detailed and realistic way, resulting in high complexity and substantial computational costs. We here present SynthATDelays, a minimalist and modular Python package designed to simulate a virtual customisable air transport system and to provide synthetic delay data under tuneable conditions; it is thus designed to support the validation of data-based studies and pipelines. We describe its internal structure and provide examples about how scenarios can be designed and executed. We further show how it can be used to tackle two relevant questions, i.e., the role of operational buffer times in the absorption of delays and the comparison and optimisation of causality tests to detect the propagation thereof. Full article

Indoor air pollution is a major cause of noncommunicable diseases, and increasing people’s knowledge about the related risks is a key action for prevention. Many studies describe questionnaires for evaluating knowledge on indoor air quality that often involve selected population groups and take time to fill out. This study describes the validation of a questionnaire built “ad hoc” that aims to be easy to fill out, reliable, and valid. The validation process integrated two psychometric approaches: the Classical Test Theory (CTT), which uses the Kuder–Richardson 20 (KR-20) formula to measure the internal consistency and reliability of the questionnaire as a whole, and the Item Response Theory (IRT), which evaluates each statement (item)’s validity. The questionnaire, distributed using social media to a self-selected sample of people, reached a sample of 621 subjects. In terms of internal consistency, the questionnaire was found to be satisfactory, with a KR-20 value of 0.74 (CI 0.71–0.77). The IRT analysis showed that the statements included in the questionnaire can distinguish between high-performing and low-performing interviewees, since 100% of the items reached a value of the “discrimination parameter a_j” that was within or above the recommended range. In terms of difficulty, many statements (53.3%) showed a low level of difficulty, obtaining a low “difficulty parameter b_j” value, while another 20% of the items showed a high level of difficulty. Regarding the pseudo-guessing parameter, known as the c-parameter, the probability of answering correctly for a low-performing interviewee was observed in three items (1, 6, and 9), and the same statements fell outside the range for all three parameters evaluated in the IRT. The application of the IRT highlights the criticality of some questions that would not have emerged using the CTT approach alone. Although the questionnaire is acceptable overall, it will be appropriate to evaluate whether to revise or exclude the critical questions in order to improve the instrument’s performance. Full article

In language classes, speaking skills are often taken for granted, and not enough attention is paid to developing these skills in a targeted way. In our study, the speaking skills of third-grade students (N = 46) are developed in integrated Lithuanian and English lessons through the analysis of visual material. Visual material is an aid and a means for expanding students’ vocabulary and developing their ability to express their thoughts verbally. The students are aged 9–10 years old. The aim of the study was to investigate the development of third-grade students’ speaking skills using visual material analysis in two languages. The Action Research was conducted in a school in one of Lithuania’s major cities. During the Action Research, students completed mind maps and analyzed visual material by answering questions in two languages. The questions were designed to cover different groups of thinking skills (knowledge and understanding, drawing conclusions, interpretation, and evaluation). The students spoke their prepared answers to the questions. The accuracy and correctness of the answers, English pronunciation, and the ability to speak in complete sentences were evaluated. Full article

While intermittent desaturations are a common occurrence in near-term and term infants, these may not be benign events with fluctuations in oxygen saturation associated with later neurodevelopmental impairment. Further, intermittent desaturation events do not necessarily result in intermittent hypoxia (IH). Polysomnography is the gold standard to diagnose intermittent desaturations in infants; however, it remains an expensive, inaccessible test. Therefore, overnight oximetry; an economical and more readily available test, is routinely used in this population. Overnight oximetry employs measurement of peripheral cutaneous arterial oxygen saturation (SpO₂) alone to inform clinical management of intermittent desaturations. Management strategies include discharging near-term and term infants on low-flow long-term oxygen therapy (LTOT), typically for upwards of six months. Oxygen saturation targets for neonates have been widely studied. However, interpretation of overnight oximetry is problematic due to a lack of established reference ranges with current approaches still based on limited evidence. This raises questions of the clinical relevancy of overnight oximetry in infants for diagnosing IH and the resultant need for LTOT. Given the association between IH and later neurodevelopmental impairment, concurrent measurement of cerebral tissue oxygen saturation by near-infrared spectroscopy (NIRS) may better identify those near-term and term infants in need of LTOT. Here we review the emerging evidence for the clinical use of cerebral NIRS and the relevance of overnight oximetry in identifying IH in near-term and term newborns and its potential role in identifying those requiring LTOT. Full article

The crystallization behavior of polymers affects the structure of aggregated states, which influences the properties of materials. Atomic force microscopy (AFM) is a helpful characterization tool with high spatial resolution at the nanometer-to-micrometer scale and low-destruction imaging capabilities, making it an important means of studying polymer crystallography. This review is intended for scientists in polymer materials and physics, aiming to inspire how the rich applications of AFM can be harnessed to address fundamental scientific questions in polymer crystallization. This paper reviews recent advances in polymer crystallization characterization based on AFM, focusing on its applications in visualizing hierarchical polymer crystal structures (single crystals, spherulites, dendritic crystals, and shish kebab crystals), investigating crystallization kinetics (in situ monitoring of crystal growth), and analyzing structure–property relationships (structural changes under temperature and stress). Finally, we introduce the application of the latest AFM technology in addressing key issues in polymer crystallization, such as single-molecule force spectroscopy (SMFS) and atomic force microscopy–infrared spectroscopy (AFM-IR). As AFM technology advances toward higher precision, greater efficiency, and increased functionality, it is expected to deliver more exciting developments in the field of polymer crystallization. Full article

The study investigates how Turkish science teachers view and understand skill-based questions (SBQs). SBQs aim to assess higher-order cognitive skills, such as critical thinking and problem-solving, in line with global standards like PISA and TIMSS. The data collected via the Word Association Test (WAT) revealed teachers’ conceptual frameworks and attitudes toward SBQs. The most frequently associated terms were ‘cognitive based’ and ‘culturally context consistency’. Teachers expressed mixed perceptions, with concerns about SBQs’ alignment with international standards, literacy, validity, and the stress they impose on students. Statistical analyses showed that teachers’ cognitive structures lack integration, indicating confusion and limited understanding. The findings highlight the need for enhanced teacher training, clearer guidelines and addressing the gaps between policy and practice. This study contributes to educational assessment reforms by emphasizing the importance of supporting teachers in using SBQs effectively. Full article

Nowadays, two major pathways seem to be responsible for the development and progression of atherosclerosis, namely, high levels of low-density lipoprotein-cholesterol (LDL-C) and low-grade vascular inflammation. Indeed, the concentration of C-reactive protein (CRP), mirroring low-grade systemic inflammation, has been recognized as a more powerful determinant of recurrent cardiovascular (CV) events, death, and all-cause mortality than LDL-C levels. Gut microbiota (GM) dysbiosis is a causal factor for the development of different inflammatory-based pathologies, such as CV disease (CVD). In addition, pre/probiotics showed beneficial effects on GM dysbiosis, by influencing both inflammation and immunity. It has been well documented that eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) exert triglyceride (TG)-lowering and antithrombotic effects and play a seminal role in the resolution of inflammatory processes. We showed the recent studies indicating the relationship between pharmacological reduction in inflammatory cytokines and CV outcomes. The principal aim of our review is to highlight the anti-inflammatory and immune-modulatory activities of GM, EPA, and DHA. Then, we pointed out how developing patient-specific pre/probiotic and EPA/DHA interventions alongside the standard of care (SOC) is needed in order to answer several of the questions raised, ranging from diminishing drug toxicity to including frailty individuals. Therefore, hypothetical tailored clinical studies are presented, aiming to treat all the patients at high-risk of CV events, as well as aged people. Full article

Primary care providers are increasingly tasked with providing basic gynecologic care, including contraceptive therapy, to their patients. In the United States, oral contraceptive pills are the most frequently prescribed form of contraception; thus, it is critical that primary care providers are well versed in addressing common patient questions. Well-documented concerns relating to oral contraception initiation include changes in weight, mood, cancer risk, libido, acne, and infertility. Herein, we provide a clinical case example of a patient with these common concerns, review the related evidence, and suggest appropriate counseling with the goal of helping primary care clinicians provide the highest level of evidence-based oral contraceptive care. Full article

Generative pre-trained transformers (GPTs) have rapidly entered educational contexts, raising questions about their impact on pedagogy, workload, and professional practice. While their potential to automate resource creation, planning, and administrative tasks is widely discussed, little empirical evidence exists regarding their use in vocational education (VE). This study explores how VE educators in England are currently engaging with AI tools and the implications for workload and teaching practice. Data were collected through a survey of 60 vocational teachers from diverse subject areas, combining quantitative measures of frequency, perceived usefulness, and delegated tasks with open qualitative reflections. Descriptive statistics, cross-tabulations, and thematic analyses were used to interpret responses about the application and allocation of work given by teachers to GPTs. Findings indicate cautious but positive adoption, with most educators using AI tools infrequently (0–10 times per month), yet rating them highly useful (average 4/5) for supporting workload. Resource and assessment creation dominated reported uses, while administrative applications were less common. The choice architecture framing indicates that some GPTs guide teachers to certain resources over others and the potential implications of this are discussed. Qualitative insights highlighted concerns around quality, overreliance, and the risk of diminishing professional agency. The study concludes that GPTs offer meaningful workload support but require careful integration, critical evaluation, and professional development to ensure they enhance rather than constrain VE pedagogy. Full article

Outdoor thermal comfort in tropical cities is increasingly threatened by rapid urbanization, high humidity, and insufficient climate-sensitive planning. Despite numerous studies on urban heat mitigation, there is a lack of empirical and numerical research that evaluates the synergistic application of bioclimatic strategies under humid tropical conditions. This paper addresses this gap by analyzing the combined effect of arborization, dry mist systems, water bodies, and sprinklers on outdoor thermal comfort at the Víctor Levi Sasso Campus of the Technological University of Panama. We hypothesized that synergistic application of these strategies provides greater thermal comfort improvements than isolated interventions. The central research question guiding this study was: To what extent can combined bioclimatic strategies enhance outdoor thermal comfort compared to individual strategies in humid tropical environments? To answer this, a hybrid methodology was employed, integrating ENVI-met dynamic simulations with in situ measurements and thermal comfort surveys based on the physiological equivalent temperature (PET) index and subjective comfort scales. The results demonstrate that combined strategies achieve superior reductions in mean radiant and surface temperatures while improving subjective comfort perceptions, highlighting their potential for context-sensitive urban design in tropical regions. Full article

Set against the current societal and religious contexts that Church of England schools find themselves positioned in, Lesbian, Gay, Bisexual, Trans, Queer, Plus (LGBTQ+) teachers must navigate the contested space between their embodied identity and expectations of others. Whilst this research focuses specifically on Church of England schools in England, broader questions of belonging, purpose, and pedagogy are argued to transcend geographical and denominational boundaries. In this series of six interviews with teachers at different career stages who work, or have worked, in Church of England secondary and primary schools, we explore their lived experience of balancing their queer identity against the professional standards of teaching and the views of the school community. Five LGBTQ+ teachers and one ally were interviewed—all but one of whom hold or held senior leadership positions. Key foci for the researchers were discussions around the often-unacknowledged pressure and responsibility that teachers might feel for being a role model for the LGBTQ+ community, with particular nuances due to the Church school context, and, in particular, if the teachers felt that the school environment enabled them to be their authentic selves. An overarching concern was the extent to which LGBTQ+ teachers felt that they were able to thrive in these communities. One consideration for the authors was a hope that key messages could be shared with Diocesan Education Leaders that might enable future generations of LGBTQ+ teachers to feel that they were being appropriately supported and enabled. Full article