Search Results (394)

After nearly two decades of developments in Historic/Heritage Building Information Modeling (HBIM), the field has reached a stage of maturity that calls for a critical reassessment of its evolution, achievements, and remaining challenges. Digital representation has become a central component of contemporary heritage conservation, enabling advanced methods for analysis, management, and communication. This review examines the maturation of HBIM as a comprehensive framework that integrates extended reality (XR), artificial intelligence (AI), machine learning (ML), semantic segmentation and Digital Twin (DT). Six major research domains that have shaped recent progress are outlined: (1) the application of HBIM to restoration and conservation workflows; (2) the expansion of public engagement through XR, virtual museums, and serious games; (3) the stratigraphic documentation of building archaeology, historical phases, and material decay; (4) data-exchange mechanisms and interoperability with open formats and Common Data Environments (CDEs); (5) strategies for modeling geometric and semantic complexity using traditional, applied, and AI-driven approaches; and (6) the emergence of heritage DT as dynamic, semantically enriched systems integrating real-time and lifecycle data. A comparative assessment of international case studies and bibliometric trends (2015–2025) illustrates how HBIM is transforming proactive and data-informed conservation practice. The review concludes by identifying persistent gaps and outlining strategic directions for the next phase of research and implementation. Full article

Background: Reconstruction of the maxilla and midface remains one of the most demanding challenges in craniofacial surgery, requiring precise planning and a clear understanding of defect geometry to achieve functional and esthetic restoration. Advances in computer-assisted surgery (CAS) and virtual surgical planning (VSP), based on 3D segmentation of radiologic imaging, have significantly improved the management of maxillary deformities, allowing for further knowledge of patient-specific information, including anatomy, pathology, surgical planning, and reconstructive issues. The integration of computer-aided design and manufacturing (CAD/CAM) and 3D printing has further transformed reconstruction through customized titanium meshes, implants, and surgical guides. Methods:This systematic review, conducted following PRISMA 2020 guidelines, synthesizes evidence from clinical studies on CAD/CAM-assisted reconstruction of maxillary and midfacial defects of congenital, acquired, or post-resection origin. It highlights the advantages and drawbacks of maxillary reconstruction with patient-specific implants (PSISs). Primary outcomes are represented by accuracy in VSP reproduction, while secondary outcomes included esthetic results, functions, and assessment of complications. Results: Of the 44 identified articles, 10 met inclusion criteria with a time frame from April 2013 to July 2022. The outcomes of 24 treated patients are reported. CAD/CAM-guided techniques seemed to improve osteotomy accuracy, flap contouring, and implant adaptation. Conclusions: Although current data support the efficacy and safety of CAD/CAM-based approaches, limitations persist, including high costs, technological dependency, and variable long-term outcome data. This article critically evaluates the role of PSISs in maxillofacial reconstruction and outlines future directions for its standardization and broader adoption in clinical practice. Full article

The EN-HERITAGE project aims to define and prototype an integrated digital platform for the management of virtual models of buildings belonging to the historic built heritage, with a particular focus on slate roofing systems. The platform integrates IoT technologies for environmental monitoring, architectural surveys carried out using laser scanning and photogrammetry, HBIM models, and artificial intelligence algorithms for the analysis of degradation phenomena. The pilot application was conducted on the Albergo dei Poveri complex in Genoa, providing a replicable methodology for the planned conservation of the historic built environment. Preliminary results highlight the effectiveness of the platform in integrating heterogeneous data, providing stakeholders involved in the management of extensive architectural heritage with concrete support for decision-making processes and greater efficiency in planning maintenance and restoration interventions on historic buildings. Full article

Objectives: The aim of this study was to present and describe a digital workflow integrating Digital Smile Design (DSD) with computer-aided design/computer-aided manufacturing (CAD/CAM) and additive manufacturing technologies for the fabrication of dental preparation guides, focusing on workflow feasibility, design reproducibility, and clinical handling. Materials and Methods: A digital workflow was implemented using intraoral scanning and Exocad DentalCAD 3.1 Elefsina software to design dental preparation guides based on digitally planned restorations. Preparation margins, insertion paths, and minimal material thickness were defined virtually. The guides were fabricated using both subtractive (PMMA milling) and additive (stereolithographic-based 3D printing) manufacturing techniques. Post-processing included chemical cleaning, support removal, additional light curing, and manual finishing. The evaluation was qualitative and descriptive, based on visual inspection, workflow performance, and guide adaptation to printed models. Results: The proposed digital workflow was associated with consistent fabrication of preparation guides and predictable transfer of the virtual design to the manufactured guides. Digital planning facilitated clear visualization of preparation margins and insertion axes, supporting controlled and minimally invasive tooth preparation. The workflow demonstrated good reproducibility and efficient communication between clinician and dental technician. No quantitative measurements or statistical analyses were performed. Conclusions: Within the limitations of this qualitative feasibility study, the integration of DSD with CAD/CAM and 3D printing technologies represents a viable digital approach for designing and fabricating dental preparation guides. The workflow shows potential for improving predictability and communication in restorative dentistry. Full article

The large-scale integration of doubly fed wind turbines reduces the inertia level of power systems and increases the risk of frequency instability. This paper analyzes the performance characteristics and application ranges of different types of energy storage technologies and addresses the limitations of conventional control methods, which cannot adjust energy storage power output in real time according to frequency variations and may hinder frequency recovery during the restoration stage. Based on a grid-forming doubly fed wind turbine model, this study adopts a hybrid ultracapacitor energy storage system as the auxiliary storage device. The hybrid configuration increases energy density and extends the effective support duration of the storage system, thereby meeting the requirements of longer-term frequency regulation. Furthermore, the paper proposes an adaptive inertia control strategy that combines an improved variable-K droop control with adaptive virtual inertia control to enhance the stability of doubly fed wind turbines under load fluctuations. Simulation studies conducted in MATLAB 2022/Simulink demonstrate that the proposed method significantly improves frequency stability in load disturbance scenarios. The strategy not only strengthens the frequency support capability of grid-connected wind turbine units but also accelerates frequency recovery, which plays an important role in maintaining power system frequency stability. Full article

This study aimed to identify novel angiotensin-converting enzyme (ACE)-inhibitory peptides from royal jelly proteins (RJPs) by integrating in silico digestion, virtual screening, and in vitro evaluation. Three major royal jelly proteins (MRJP1-3) were subjected to in silico digestion using 16 enzymatic systems, yielding 1411 unique peptides. Virtual screening based on predicted bioactivity, toxicity, water solubility, and ADMET profiles resulted in the selection of 27 candidate peptides. Molecular docking revealed strong binding affinities for these peptides compared with the positive control captopril, among which PYPDWSFAK and RPYPDWSF exhibited potent ACE-inhibitory activity, with IC₅₀ values of 110 ± 1.02 μmol/L and 204 ± 0.61 μmol/L, respectively. Kinetic analysis indicated that PYPDWSFAK acts as a mixed-type ACE inhibitor. Docking visualization demonstrated that PYPDWSFAK forms multiple hydrogen bonds with key residues in the ACE active pocket and directly coordinates with the catalytic Zn²⁺ ion. Cellular assays showed that PYPDWSFAK was non-cytotoxic, suppressed Ang II–induced endothelial cell migration, restored NO and ET-1 balance, and enhanced SOD and GSH-Px activities. Overall, this study enriches the repertoire of ACE-inhibitory peptides derived from royal jelly proteins. Furthermore, PYPDWSFAK is identified as a promising ACE-inhibitory peptide with potential for incorporation into natural antihypertensive ingredients or functional foods. Full article

Access to nature is fundamental to human health and wellbeing, yet opportunities for direct and frequent engagement with natural environments are often restricted for individuals in the 80+ age category, particularly those in care settings or living in remote locations. There is therefore an urgent need to enhance nature connections in care settings and provide personalised, restorative experiences that reflect individuals preferred natural features. This prefeasibility pilot study developed a framework to inform the design of therapeutic care settings, grounded in the principles of biophilic neuroarchitecture and designed to support ageing well. Conducted over six months in two care environments, the study applied the biophilic pattern of Complexity and Order to simulate Natural Analogues within immersive virtual settings. Mixed methods combining wearable sensor data and self-reported wellbeing measures were used to assess psychophysiological, emotional, and cognitive responses among participants aged 80 and above. Findings revealed that VR content aligned with individual nature preferences elicited higher levels of engagement, relaxation, and positive affect. This study demonstrates the potential for implementing biophilic design applications to develop therapeutic care settings which promote wellbeing and healthy ageing, particularly where access to real nature is infrequent or limited. Full article

The PHEND (Past Has Ears at Notre-Dame) collaborative research project is being carried out by a team of multidisciplinary researchers interested in the acoustic history of Notre-Dame Cathedral in Paris. The project involved the creation of seven digital models representing the interior of the monument between 1182 and 2018. To support one of the virtual reconstructions, that of 1868, a technical report was drawn up based on the written and iconographic archives of the restorations carried out between 1845 and 1870 by the architects Eugène Viollet-le-Duc (1814–1879) and Jean-Baptiste-Antoine Lassus (1807–1857). The archives come mainly from the “Fonds Viollet-le-Duc”, from the work diary of the “Médiathèque du patrimoine et de la photographie” (MPP), and from the archives of the Notre-Dame chapter. In order to select the most relevant data for the digital reconstruction, the research addresses specific questions regarding the cathedral’s materiality, such as structural modifications, restorations, and the choice of materials and furnishings. To understand how the interior of the cathedral was transformed in the 19th century, a detailed inventory of its condition was compiled at two points in time: at the beginning of the restoration in 1848 and following its completion in 1868. In parallel with this work, to provide a graphic representation of the changes that had occurred in each area, comparative illustrations were produced showing the situation before and after restoration. The modifications were then detailed by area: general restoration (vaults, openings, paving), and redevelopment of the choir and the main body of the building (chapels, transept, nave). This research revealed the building’s profound structural changes and the fact that the renovations spared no space. These included mainly modifications to the high windows, a complete redesign of the decorative layout of the choir and chapels, the restoration of all the vaults and paving at different levels, and a complete restoration of the organ. Full article

Rapid urbanization and widening urban–rural disparities have contributed to decreasing youth engagement with rural development in China. As traditional outreach initiatives struggle to attract young people’s attention, immersive digital technologies have emerged as promising tools for strengthening connections to rural environments. This study explores how immersive virtual reality (VR) experiences shape university students’ behavioral intentions toward rural engagement. Using a cognitive–affective–behavioral (CAB) framework, an immersive VR experiment was conducted with 209 Chinese undergraduates using a panoramic rural video. Partial least squares structural equation modeling (PLS-SEM) validated a serial mediation model linking perceived sensory dimensions, restorative experiences (RE), and place identity (PI) to rural visit intention (RVI) and environmentally responsible behavioral intention (ERBI). The results show that VR significantly enhances RE and PI, with PI serving as the stronger mediator, particularly for students with limited rural exposure. Multigroup analysis further revealed demographic heterogeneity: women demonstrated stronger RE–PI pathways, while urban and short-term rural residents showed greater sensitivity to VR-induced presence. Overall, the findings indicate that immersive VR can reduce urban–rural psychological distance and strengthen youth engagement. The study demonstrates how digital immersive tools may support targeted education and policy interventions aimed at promoting sustainable rural development. Full article

Abandoned mines, as emblematic heritage spaces in the process of deindustrialization, preserve collective production memory and serve as vital symbols of local identity. However, current redevelopment practices primarily emphasize physical restoration while overlooking the visual expression and interactive communication of regional culture. This study introduces an augmented reality (AR)–based visual narrative framework that integrates regional culture to bridge the gap between spatial renewal and cultural regeneration. Drawing on semiotics and spatial narrative theory, a multidimensional “space–symbol–memory” translation mechanism is constructed, and a coupling model linking tangible material elements with intangible cultural connotations is established. Supported by technologies such as simultaneous localization and mapping (SLAM), semantic segmentation, and level of detail (LOD) rendering, a multilayer “position–perception–presentation” module system is designed to achieve stable anchoring of virtual and physical spaces and enable multilevel narrative interaction. Through task-oriented mechanisms and user co-creation, the system effectively enhances immersion, cultural identity, and learning outcomes. Experimental validation in a representative mine site confirms the feasibility of the proposed framework. While the study focuses on a single case, the modular and mechanism-based design indicates that the framework can be adapted to cultural tourism, educational communication, and community engagement applications. The key innovation lies in introducing an iterative “evidence–experience–co-creation” model, providing a new methodological reference for the digital reuse of abandoned mines and the sustainable preservation of industrial heritage. Full article

With the development of deep learning technology, virtual try-on technology has developed important application value in the fields of e-commerce, fashion, and entertainment. The recently proposed Leffa technology has addressed the texture distortion problem of diffusion-based models, but there are limitations in that the bottom detection inaccuracy and the existing clothing silhouette persist in the synthesis results. To solve this problem, this study proposes CaP-VTON (Clothing-Agnostic Pre-Inpainting Virtual Try-On). CaP-VTON integrates DressCode-based multi-category masking and Stable Diffusion-based skin inflation preprocessing; in particular, a generated skin module was introduced to solve skin restoration problems that occur when long-sleeved images are converted to short-sleeved or sleeveless ones, introducing a preprocessing structure that improves the naturalness and consistency of full-body clothing synthesis and allowing the implementation of high-quality restoration considering human posture and color. As a result, CaP-VTON achieved 92.5%, which is 15.4% better than Leffa, in short-sleeved synthesis accuracy and consistently reproduced the style and shape of the reference clothing in visual evaluation. These structures maintain model-agnostic properties and are applicable to various diffusion-based virtual inspection systems; they can also contribute to applications that require high-precision virtual wearing, such as e-commerce, custom styling, and avatar creation. Full article

As the daily activity space for students, the external campus environment directly impacts their physical and mental health. While previous studies have demonstrated the restorative effects of outdoor environments on emotional recovery and stress relief, the influence of color elements in the campus environment on individuals remains underexplored. To address this gap, this study investigates the influence of colors in the outdoor environments of campuses built in different periods on the physiological and psychological indicators of university students. The HSV color model was used to analyze environmental colors, while virtual reality (VR) and electroencephalography (EEG) were combined to collect brain activity data, along with synchronous collection of subjective emotional data, providing a comprehensive assessment of individuals’ perceived restoration levels. The results indicate the following: (1) Environmental colors with high brightness and low saturation are more relaxing, and environments with a high proportion of plant colors and a low proportion of building and pavement colors yield the best restorative effects. (2) A comparison across three campuses revealed that the relaxation effects on emotions are sports areas > living areas > teaching areas > learning areas. Among these, neutral and warm colors were found to be more relaxing, and neutral tones within the green (G) hue contain most of the significantly stimulated EEG signals associated with relaxation. This study demonstrates the important role of campus environmental colors in improving students’ mental health, providing theoretical support and practical guidance for color design in restorative campus landscapes. Full article

The “double-high” characteristics of power systems—namely, the high penetration of renewable energy and the widespread use of power electronic devices—have significantly increased operational complexity. This underscores the necessity of adopting coordinated energy storage systems and wind-storage hybrid microgrids to support the black start restoration of thermal power plants. This paper addresses two critical challenges in the black start process of a wind–storage–diesel microgrid: dynamic power coordination and state of charge (SOC) balancing of the energy storage system. A coordinated control strategy is proposed for the entire black start sequence, incorporating SOC equilibrium management. A novel hybrid control architecture is introduced, which effectively integrates grid-forming virtual synchronous generator (VSG)-based energy storage units with grid-following P/Q-controlled storage units, while leveraging the dynamic reactive power support capability of diesel generators. By coordinating SOC balancing among storage units and combining diesel generation with wind power maximum power point tracking (MPPT) control, the strategy enables wind power output to effectively track microgrid load demand. It also ensures reliable reactive power support to prevent black start failure. During periods of power imbalance between wind generation and black start loads, the energy storage system compensates for active power discrepancies. Furthermore, control schemes for both grid-forming and grid-following storage units are enhanced to achieve SOC-based active power distribution, ensuring balanced SOC levels across all units. Finally, a simulation model for the wind–storage–diesel black start is developed in PSCAD/EMTDC, validating the effectiveness and robustness of the proposed control strategy. Full article

To address the power sharing dissymmetry in islanded microgrids with multiple parallel inverters caused by asymmetrical line impedance distribution and internal parameter mismatches, this paper proposes an adaptive virtual complex impedance control strategy based on line impedance identification for symmetry restoration. The strategy incorporates model predictive control (MPC) into the current inner loop and a two-degree-of-freedom (2-DOF) control into the voltage outer loop of inverters. By establishing a real-time impedance identification mechanism and generating adaptive virtual impedance, the system achieves symmetrical power sharing under asymmetrical grid conditions. Firstly, the voltage-current dual-loop design eliminates the impact of internal impedance dissymmetry and enhances disturbance rejection capabilities. Secondly, the adaptive virtual complex impedance actively compensates for line impedance mismatches among units, thereby resolving power unbalance and restoring operational symmetry. Simulation results validate the strategy’s effectiveness in enabling balanced power sharing and symmetrical operation of distributed inverters. Full article

Grid-forming wind-storage systems can serve as black-start power sources capable of autonomously establishing voltage and frequency references when the external grid is unavailable, thereby providing crucial support for rapid grid restoration. However, during the black-start process, energizing unloaded transformers often induces severe magnetizing inrush currents, which may cause transient overcurrent, damage grid-forming converters, and compromise system stability. To address this issue, this paper proposes a segmented zero-voltage start strategy and a dual-side converter multi-mode switching control scheme based on small-capacity distributed energy storage. First, the formation mechanism of transformer magnetizing inrush under no-load energization is analyzed. A segmented zero-voltage start module is embedded into the outer voltage loop of the virtual synchronous generator (VSG) controller to enable a smooth rise in output voltage, effectively mitigating transient impacts caused by magnetic core saturation. Second, considering the operating requirements during self-start and load restoration stages, a coordinated control framework for dual-side converters is designed to achieve dynamic voltage, frequency, and power regulation with limited energy storage capacity, thereby improving transient stability and energy utilization efficiency. Finally, real-time hardware-in-the-loop (HIL) simulations conducted on an RT-LAB platform verify the feasibility of the proposed control strategy. The results demonstrate that the method can significantly suppress magnetizing inrush current, transient overvoltage, and overcurrent, thus enhancing the success rate and dynamic stability of black-start operations in grid-forming wind-storage systems. Full article