Search Results (5,074)

[d=LE]Transitions of control between automated driving systems and human drivers remain safety-relevant and cognitively demanding moments in human–automation interaction. Recent studies show that transition performance depends not only on takeover timing or response speed but also on traffic complexity, driver readiness, automation limitations, trust calibration, and situational-awareness recovery. As in-vehicle interaction evolves toward conversational and agentic AI assistance, takeover support also becomes a problem of governing how natural-language AI systems communicate with the driver under uncertainty.Transitions of control between automated driving systems and human drivers remain safety-relevant and cognitively demanding moments in human-automation interaction. Recent studies suggest that transition performance should not be assessed only through takeover timing or response speed since control resumption quality also depends on traffic complexity, driver readiness, automation limitations, and situational awareness recovery. [d=LE]This paper proposes a digital-twin-mediated framework for human-aware takeover support in automated driving. In this framework, the companion AI is treated as an assumed LLM-based in-vehicle conversational or agentic assistant used as an advisory interaction component. The contribution is defined at the architectural level: human, vehicle, and context/road digital twins provide structured semantic state abstractions through a semantic state interface exposing confidence, freshness, provenance, and consistency metadata, while a trustworthy companion AI (TCAI) layer grounds, constrains, validates, and governs companion AI output proposals before HMI delivery.This paper motivates and defines a trustworthy companion AI (TCAI) layer for human-aware transition support in automated driving. The TCAI is conceived as a bounded, supervised, and explainable advisory agent that supports the driver without entering the safety-critical vehicle-control loop. It reasons over structured semantic state abstractions derived from a human digital twin, a vehicle digital twin, and a context/road digital twin, exposing driver readiness, automation capability, and contextual urgency in a form that supports traceable, uncertainty-aware, and degradation-aware assistance. [d=LE]Building on the research on driver-state monitoring, adaptive HMI, trust calibration, explainability, conversational assistance, and human assistance systems (HASs), the framework coordinates advisory interaction across vigilance support, contextual explanation, trust-calibrating communication, and directive handover guidance. The TCAI layer combines bounded reasoning, human-factor-derived guardrails, state-consistency management, dynamic explanation-depth control, trust-dynamics modeling, graded watchdog veto handling, mandatory access-control assumptions, and deterministic fallback. Safety-critical vehicle-control and minimum risk condition (MRC) functions remain assigned to the deterministic vehicle-control stack, while the authorized output path of the TCAI layer is validated HMI delivery.Building on the research on driver-state monitoring, adaptive HMI, trust calibration, explainability, and conversational assistance, we propose a conceptual architecture in which the TCAI coordinates multimodal assistance across different interaction conditions, including vigilance support, contextual explanation, trust-calibrating communication, and directive handover guidance. The companion does not actuate the vehicle; its outputs are constrained by runtime governance, policy enforcement, and deterministic fallback mechanisms. [d=LE]The paper concludes with a validation agenda and technical roadmap covering planned transitions, urgent handovers, degraded or adversarial conditions, temporal fusion of driver-state evidence, phase-sensitive HMI policies, trust-calibration trajectories, driver veto and partial-disabling mechanisms, and staged simulator-to-vehicle evaluation. Although motivated by SAE Level 3 automation, the framework may also inform fallback-related Level 4 scenarios in which human and automated agency must be managed under uncertainty.The paper concludes with a research roadmap for validating the proposed architecture under planned transitions, urgent handovers, and degraded or adversarial conditions. Although motivated by SAE Level 3 automation, the approach may also inform fallback-related Level 4 scenarios. Full article

In recent years, artificial intelligence has brought significant changes in architectural practice. The possibilities associated with generating forms on various scales have prompted reflection on the role and contribution of the architect to the design process. An important element of these considerations is the quality of the results provided by algorithm that generate formal and design solutions, in this case apartment plans. This article aims to determine whether artificial intelligence design software, PlanFinder version from February 2026, which is significantly faster and more efficient in delivering finished plans than even the most skilled designers, can achieve a quality comparable to that of professional architects. Based on selected parameters that allow for an objective assessment of apartment plans, a comparative analysis was conducted between the designer’s work and the results of generative algorithm of the mentioned above software. Using case studies of completed residential projects, an assessment was made of whether and to what extent artificial intelligence can provide reliable support in automating the process of creating apartment layouts, whether it can be assigned specific tasks, or a hybrid approach involving post-production and correction of the results is required. The article which is an exploratory evaluation of early-stage PlanFinder outputs shows that, in spite of generating rapidness there are still significant flaws regarding building-code compliance. Full article

This study examines user responses to an AI travel assistant in a cross-border tourism service system. Moving beyond adoption-centered technology acceptance research, it conceptualizes these responses as a staged appraisal process in which social and experiential cues shape performance expectancy and effort expectancy, which then influence attitude and two behavioral outcomes: users’ willingness to accept AI and objections to AI. Cosmopolitanism is introduced as an individual-level boundary condition. Survey data were collected from 499 Chinese tourists holding valid South Korean tourist visas after they evaluated Visit Seoul AI, an official AI-based travel-planning tool. The hypotheses were tested using partial least squares structural equation modeling. The results show that social influence, hedonic motivation, and perceived anthropomorphism significantly affect performance expectancy and effort expectancy, which in turn shape attitude. Attitude increases usersf’ willingness to accept AI and reduces objections to AI, with a stronger effect on users’ willingness to accept AI. Cosmopolitanism strengthens the negative effect of hedonic motivation on effort expectancy. This study extends AIDUA to cross-border AI service systems and shows that users may both accept and object to AI travel assistants. Full article

Agricultural production systems are frequently affected by uncertainty, processing cycles, quality variability, and irreversible losses, leading to discrepancies between planned and actually available operational resources. This study proposes an integrated framework combining absorbing Markov chains and bankruptcy allocation theory to address endogenous scarcity in stochastic production systems. The production process is modeled using an absorbing Markov chain, where transient states represent operational stages and absorbing states represent successful completion or irreversible loss. The fundamental matrix is used to estimate the effective expected resource availability induced by the stochastic dynamics of the system. When this availability is insufficient to satisfy nominal operational requirements, the problem is reformulated as a bankruptcy allocation problem. Four classical allocation rules are evaluated and compared: proportional, constrained equal awards, constrained equal losses, and the Talmud rule. A stylized cocoa production system illustrates the proposed framework. The results show that the constrained equal awards and Talmud rules better preserve operational continuity under scarcity conditions. The main contribution lies in linking stochastic production modeling with normative resource allocation under endogenous scarcity. Full article

Aging is a systemic degenerative process that can lead to functional decline in multiple organs, such as skeletal muscles and the heart, and accelerates the overall aging process through organ-to-organ interactions mediated by metabolites such as short-chain fatty acids (SCFAs). SCFAs serve as a crucial link connecting intestinal health and anti-aging, and their levels and functions undergo significant changes with aging. However, current research lacks understanding of the downstream molecular mechanisms of SCFAs, and intervention methods are mostly limited to simple regulation. This article clarifies the intrinsic relationship between SCFAs and aging from a systemic perspective, analyzes their regulatory mechanisms through key signaling pathways, examines their roles in tissue barrier protection, the improvement of metabolic disorders, and immune regulation, and summarizes their therapeutic potential and diversified intervention strategies in aging-related diseases. The detailed molecular mechanisms by which SCFAs regulate aging are still unclear, and there are no precise intervention plans for different aging stages and organ damage. In the future, we need to utilize techniques such as single-cell sequencing and organ models to explore the regulation of aging cell fates, providing support for the development of metabolite-mediated personalized anti-aging intervention measures. Full article

Background/Objectives: Automated insulin delivery (AID) systems have improved the management of type 1 diabetes (T1D), but exercise and nutrition remain challenging because they rapidly alter glucose flux, substrate oxidation, hepatic glucose output, insulin requirements, and fuel availability. This narrative review aimed to synthesize current evidence on the interaction between AID systems, physical activity, and nutritional strategies from a metabolism-oriented perspective. Methods: A narrative bibliographic approach was used to integrate evidence from clinical trials, observational studies, technical studies, consensus statements, and reviews involving people with T1D across different life stages, including pediatric, adolescent, adult, and pregnancy-related contexts, when available. The review focused on AID systems, exercise physiology, nutritional strategies, meal announcement, bolus adjustment, dual-hormone systems, metabolic biomarkers, and emerging metabolomic approaches. Results: AID systems generally improve time in range and reduce hypoglycemia across several user groups, although most exercise- and nutrition-specific evidence comes from adult and pediatric/adolescent cohorts rather than pregnancy-specific exercise studies. Exercise-related glucose responses remain highly dependent on user input, exercise modality, insulin on board, meal timing, and metabolic state. Planned exercise announcement, prandial bolus reduction before postprandial activity, and individualized carbohydrate intake remain key strategies. Biomarkers such as lactate, ketone bodies, non-esterified fatty acids, and counter-regulatory hormones may help explain interindividual variability and support future personalization. Conclusions: Nutrition and exercise management in AID users should be interpreted as a dynamic metabolic interface among exogenous insulin, endogenous counter-regulation, substrate availability, and algorithmic control. Emerging approaches, including activity sensors, adaptive algorithms, dual-hormone systems, digital twins, and metabolomics-informed personalization, may improve safety and reduce user burden, but several remain exploratory and require further validation in diverse free-living conditions. Full article

Joint detection of strawberry growth stages and defective fruit is needed for harvest planning and quality screening, but field images make this task difficult because stage-related visual differences are subtle, flowers and early fruits are often small and densely distributed, and occlusion weakens localization reliability. This study develops Multi-Scale Refined Detection and Classification YOLO (MRDC-YOLO), a lightweight detector based on the YOLO11s framework, for this fine-grained detection scenario. The backbone, neck, and detection head are redesigned with three modules: a Multi-Scale Adaptive Edge Enhancement Module (MAEM), a Reparameterized Progressive Feature Aggregation (RPFA) module, and a Decoupled Cross-Scan Head (DCSH). MAEM strengthens boundary and texture responses for visually similar categories, RPFA reduces redundant multi-scale fusion while maintaining features for dense small targets, and DCSH introduces task-aware classification and regression branches with cross-scan-inspired spatial modeling for occlusion-sensitive localization. Experiments on a five-class strawberry dataset containing 5114 images show that MRDC-YOLO achieves 95.63% mAP@0.5 and 82.39% mAP@0.5:0.95. Over YOLO11s, the model yields a 2.06-percentage-point gain in precision and 1.34- and 1.53-percentage-point gains in mAP@0.5 and mAP@0.5:0.95, together with 10.7% fewer parameters and 8.9% lower GFLOPs. These results suggest that MRDC-YOLO improves fine-grained category discrimination and localization while retaining a smaller model size than the YOLO11s baseline. Full article

The fifth annual pan-tumour Early Age Onset Cancer (EAOC) Symposium, held in November 2025 and organized by the Colorectal Cancer Resource & Action Network (CCRAN), convened clinicians, researchers, policymakers, patients, and caregivers to address the rising incidence of cancers in individuals under 50 years. In addition to discussions around diagnostic and therapeutic advances for patients with late-stage disease, content centered on addressing critical gaps along the EAOC care continuum, including (i) diagnostic delays related to limited awareness and suboptimal primary care pathways, (ii) screening eligibility criteria for colorectal cancer (CRC) that no longer reflect current disease epidemiology, and (iii) insufficient age-appropriate infrastructure to meet the EAOC population’s unique unmet needs with respect to psychosocial support, fertility counseling, financial navigation, and survivorship planning. The symposium generated consensus recommendations such as the embedding of EAOC education into medical training curricula to increase the index of suspicion of EAOC in primary care, lowering the CRC screening age to 45 years to match this population’s rising disease incidence, and expanding multidisciplinary adolescent and young adult (AYA) and EAOC programs—including through the use of virtual models—to ensure that patients receive coordinated, comprehensive, equitable and age-appropriate care across the country. Full article

Currently, more than half of Pyrenean high mountain lakes are occupied by fish as a result of historical introductions that date back centuries and which have accelerated during the last 70 years. In the southern slope of these mountains, the main fish that have been introduced are Brown trout (Salmo trutta), Brook trout (Salvelinus fontinalis), Rainbow trout (Oncorhynchus mykiss), and European minnow (Phoxinus sp). The specific impacts of the introduction of fish include, among others, the transformation of the ecosystem structure and trophic relationships, and the reduction and extirpation of native species. The project LIFE RESQUE ALPYR (LIFE20 NAT/ES/000369), started in 2022 and ending in 2026, includes among its main objectives the restoration of ten high mountain lakes with fish (trout or minnow) and the recovery of native species of European interest by the eradication of introduced fish. We planned and executed continuous and sustained campaigns to achieve the complete removal of fish. From 2022, we began with operations in seven objective lakes by means of several capture techniques, mainly gill nets for trout and a combination of gill nets, fyke-nets, and electrofishing for minnows. In 2024 and 2025, in three other lakes, chemical treatments with rotenone were carried out to achieve rapid eradication of fish. Currently, we have already achieved the complete removal of fish in four lakes, either with sustained capture or chemical treatments. In the other three lakes, this objective is also expected to be achieved in 2026, and only few individuals persist in actuality. In the other two lakes, the European minnow has been removed, and trout are now the focus of a two-stage strategy. In the remaining lake, we have only achieved a reduction in the European minnow (>50% reduction), with trout still remaining. We present, in detail, the methodologies applied and the results obtained. Full article

Early-stage residential building design in dense urban environments involves complex interactions among zoning regulations, geometric configuration, environmental performance, and economic feasibility. Conventional CAD–spreadsheet workflows and parametric BIM-based approaches remain limited in systematically resolving these interdependent trade-offs and typically rely on heuristic iteration and post hoc regulatory verification. To address this limitation, this study proposes REGEN, a regulation-aware BIM-enabled multi-objective optimization framework for sustainable residential building design. The framework formalizes planning and building-control regulations as explicit algebraic constraints embedded within a parametric BIM environment and integrates them with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to generate regulation-compliant design alternatives with respect to the encoded planning and building-control regulations. REGEN simultaneously optimizes five competing objectives: maximizing project profit, green-area provision, and building efficiency while minimizing geometric shape factor and building footprint area. A real condominium feasibility case in Bangkok, Thailand, is used to benchmark the proposed framework against conventional practice and parametric BIM-based design under identical site and regulatory conditions. The results reveal a non-convex Pareto front that exposes complex trade-offs among environmental, geometric, and economic objectives. The selected closest-to-utopia solution achieves 65.50% building efficiency, 606 m² of green area, a shape factor of 0.399, and a building footprint area of 1078 m² while maintaining a competitive project profit of 104.55 million THB without maximizing FAR utilization. The findings suggest that regulation-aware generative optimization has the potential to serve as an explainable and decision-oriented approach for sustainable construction and early-stage residential development planning. Full article

Road infrastructure accounts for a substantial and systematically under-reported fraction of construction-related embodied carbon globally. Despite rapid network expansion across sub-Saharan Africa, no peer-reviewed study identified in the databases searched has established a quantified embodied-carbon baseline for Ghanaian road construction, creating a notable gap in national carbon accounting and low-carbon procurement policy. This study addresses that gap through two integrated components: a PRISMA 2020-guided systematic review of road-LCA and embodied-carbon literature, and a first-pass scenario model for Ghanaian low-volume paved roads (LVRs) bounded at A1–A3 (cradle-to-gate). Database searches of Scopus and Web of Science (14 March 2026) returned 3193 records; following deduplication and two-stage screening, 574 studies were included in the review. A staged harmonisation procedure converted 211 benchmark-shortlisted studies to comparable units, yielding a harmonisation subset of 29 studies and a final benchmark pool of 10 studies expressed as kgCO₂e per lane-kilometre (3.5 m lane width). The scenario model applies emission factors from the ICE Database (Educational V4.1, 2025) to three pavement configurations drawn from the Ghana Manual for Low Volume Roads (Parts B and D), all surfaced with double bituminous surface treatment (DBST); Otta seal is evaluated as a sensitivity case. Results show A1–A3 embodied carbon of 14,165 kgCO₂e/lane-km for Scenarios S1 and S3 (SC2/TLC 0.01 and SC4/TLC 1.0, respectively) and 12,564 kgCO₂e/lane-km for Scenario S2 (SC3/TLC 0.3). Bituminous binder accounts for 30–34% of A1–A3 emissions despite representing less than 1% of pavement mass, identifying binder supply as the primary carbon lever. The two most structurally comparable benchmark studies, chip-seal treatments in the USA, bracket the Ghana values at 12,687–16,400 kgCO₂e/lane-km, providing external plausibility validation. To the best of our knowledge, this study delivers a peer-reviewed, reproducible A1–A3 (cradle-to-gate) carbon baseline for Ghanaian LVR construction, a PRISMA-compliant synthesis of road embodied-carbon evidence, and a documented framework for early-stage carbon benchmarking in West African road infrastructure planning. Full article

Background: Dental ankylosis (DA) in growing patients leads to progressive infraocclusion and alveolar ridge deformities, compromising future implant rehabilitation. Decoronation has been proposed as a biologically driven alternative to extraction for preserving alveolar bone during growth. Objective: We aimed to evaluate the clinical outcomes of decoronation—alveolar ridge preservation, infraocclusion progression, implant site development, and the influence of treatment timing—in growing patients with ankylosed permanent anterior teeth. Methods: This systematic review was conducted in accordance with PRISMA 2020 guidelines. A comprehensive search of MEDLINE (EBSCO), EMBASE, Scopus, and Web of Science was performed (January 2006–May 2026), supplemented by grey literature screening. Eligible studies included clinical investigations reporting outcomes of decoronation in patients ≤18 years. Risk of bias was assessed using the Newcastle–Ottawa Scale (NOS) and Joanna Briggs Institute (JBI) checklist. Certainty of evidence was evaluated using the GRADE framework. Lastly, an inter-rater agreement was quantified using Cohen’s kappa coefficient. Results: Five studies (two retrospective cohorts and three case series) comprising 140 decoronated teeth with follow-up periods ranging from 1 to 30 years were included. A total of 78 records were identified across four databases; five studies met the eligibility criteria after duplicate removal and screening. Inter-rater agreement at the full-text eligibility stage was good (κ = 0.70). The overall risk of bias was low to moderate, and the certainty of evidence was rated as low using the GRADE framework. Vertical alveolar bone preservation or gain was consistently observed, particularly when decoronation was performed during the prepubertal or pubertal growth phases. The largest cohort (n = 103) reported substantial vertical bone gain when intervention occurred at a mean age of 13.0 years in girls and 14.6 years in boys. Infraocclusion stabilisation or improvement was reported across all studies. In contrast, horizontal ridge reduction persisted, with the only quantitative study reporting a mean bucco-palatal loss of 1.67 ± 1.12 mm (p = 0.004). No included study directly assessed implant placement outcomes. Overall, the certainty of evidence was low due to observational study designs, heterogeneity in outcome assessment, and absence of controlled comparators. Conclusions: Decoronation appears to be a promising strategy for preserving vertical alveolar bone and stabilising infraocclusion in growing patients with ankylosed teeth, particularly when performed before or during the pubertal growth phase. Evidence showed considerable bone height preservation, though horizontal ridge reduction persisted across cases. However, the certainty of evidence remains low because available studies are observational, heterogeneous, and lack direct extraction comparators. Therefore, high-quality prospective studies with standardised outcome measures and controlled comparisons are required to establish definitive clinical protocols. Participants underwent decoronation during childhood or adolescence (≤18 years); reported follow-up periods of up to 30 years reflect monitoring that extended into adulthood. Clinical significance: For clinical decision-making, decoronation should be considered once ankylosis with progressive infraocclusion is confirmed during active growth, ideally before the pubertal spurt; the decision should be guided by growth stage rather than chronological age, and clinicians should anticipate likely horizontal ridge reduction by planning for possible augmentation at implant placement and coordinating multidisciplinary follow-up until skeletal maturity. Full article

Lean Construction (LC) aims to enhance efficiency, minimize waste, and increase value in construction. However, its implementation is inconsistent, especially in developing countries like Jordan, due to a lack of assessment frameworks. This study examines the Lean Construction Knowledge Framework (LCKF) to assess LC capability in Jordan’s construction sector. A qualitative multiple-case study was conducted with three selected construction companies in Jordan, using semi-structured interviews and direct observation. A three-point scoring system evaluated 12 LCKF variables across three knowledge dimensions based on evidence from interviews, observations, and documents. This exploratory study found that most LCKF variables were partially implemented or absent. Effective stakeholder communication was strong, while flow tracking, visual management, and Key Performance Indicators (KPIs) were descriptive and not improvement-oriented. Deficits included a lack of formal training in waste reduction, visualization, and pull-based control, as well as inconsistent adoption of pull planning. A cross-case analysis confirmed shared gaps among the companies, indicating broader challenges in similar contexts. Based on the scoring results and follow-up interviews feedback, the LCKF was translated into a Jordan-specific roadmap that distinguishes between established practices, short-term enhancements, and long-term capability development. The study contributes by highlighting that LC implementation depends on tool adoption, organizational routines, learning mechanisms, and staged capability building. Full article

Background and Objectives: Pulmonary sequestration (PS) is a rare congenital lung anomaly with anomalous systemic arterial supply. Surgical resection is the standard treatment, but some children have contraindications. Endovascular embolization (EE) is an established alternative; published pediatric experience is limited, particularly in neonates. We report a two-centre experience with extended follow-up and quantitative hemodynamic data. Methods: Six pediatric patients (five male; median age 6 months, range 11 days to 4 years and 8 months) underwent EE for PS at two centres in Gdańsk, Poland, between 2020 and 2025. Contraindications to surgery were severe pulmonary arterial hypertension, high-output cardiac failure, low body weight with comorbidity, complex extralobar anatomy or refused parental consent. Procedures were performed under general anesthesia via right common femoral arterial access; device strategy was tailored to vessel anatomy. Results: Technical success was 100% with no procedural complications. Median feeding-artery diameter was 3.4 mm (range 2.1 to 5.3 mm). An Amplatzer-family vascular plug was used in five patients (83.3%), pushable platinum coils in two (33.3%) and Onyx-18 in one (16.7%); two had hybrid combinations and one underwent planned staged two-step embolization. Median procedural duration was 51 min. At median follow-up of 50 months (range 11 to 68), all patients showed sequester regression on imaging. Reverse cardiac remodelling occurred within five weeks in the patient with pre-procedural left ventricular dilation (Z-score +2.45 returning to normal); systolic pulmonary artery pressure fell from 35 to 40 to 17 mmHg within six weeks in the neonate treated at 11 days of life for high-output cardiac failure. No patient required surgical resection. Conclusions: Endovascular embolization is safe and effective in pediatric patients with pulmonary sequestration and contraindications to surgery, including neonates with comorbidity. Documented reverse cardiac remodelling and rapid hemodynamic improvement support its use in selected cases. Full article

With the large-scale integration of renewable energy and the deepening of electricity market reform, uncertainty in power system operation has increased significantly. This creates new challenges for multiple generation companies when they work together to develop generation schedules that balance economic efficiency and low-carbon goals. Most existing studies assume fixed loads and ignore the active regulation capability of the demand side under price signals and incentive signals. To address this gap, this paper proposes a low-carbon generation schedule optimization method for multiple generation companies. The method considers heterogeneous flexible loads. First, the paper decomposes flexible load adjustability into two components: price elasticity-based load shifting and incentive-based adjustable capacity. Using the price elasticity matrix method, the market clearing price serves as a known input. The load shifting amount under price elasticity regulation is pre-calculated for each park and treated as an exogenous parameter in the generation schedule model. This allows generation companies to directly use demand-side flexibility information during the planning stage. Second, the paper uses the proportion of residential and industrial loads as a core parameter. It characterizes the heterogeneity of four parks along two dimensions: elasticity coefficients and upper limits of adjustable capacity. Parks with a higher proportion of industrial loads have stronger flexible regulation capability. This result is consistent with real physical characteristics. It also provides a quantitative basis for generation companies to utilize flexible resources differently across parks and optimize their output arrangements. Finally, the paper uses the upward and downward adjustable capacity of each park as decision variables. It builds a multi-generator low-carbon generation schedule optimization model with heterogeneous flexible loads. Generator output constraints, power balance constraints, flexible load adjustable capacity constraints, and carbon quota constraints are all integrated into a single-level mixed-integer linear programming framework. This framework can be solved efficiently using commercial solvers. It helps generation companies develop optimal generation schedules that balance economic efficiency and low-carbon targets. Case study results show that combining price elasticity regulation with incentive-based adjustable capacity can effectively improve both the economic performance and low-carbon performance of generation schedules. Full article