3D Model Research Articles

Impact of Geometric Attributes on Abdominal Aortic Aneurysm Rupture Risk: An InVivo FSI-Based Study.

Reported in this paper is a cutting-edge computational investigation into the influence of geometric characteristics on abdominal aortic aneurysm (AAA) rupture risk, beyond the traditional measure of maximum aneurysm diameter. A Comprehensive fluid-structure interaction (FSI) analysis was employed to assess risk factors in a range of patient scenarios, with the use of three-dimensional (3D) AAA models reconstructed from patient-specific aortic data and finite element method. Wall shear stress (WSS), and its derivatives such as time-averaged WSS (TAWSS), oscillatory shear index (OSI), relative residence time (RRT) and transverse WSS (transWSS) offer insights into the force dynamics acting on the AAA wall. Emphasis is placed on these WSS-based metrics and seven key geometric indices. By correlating these geometric discrepancies with biomechanical phenomena, this study highlights the novel and profound impact of geometry on risk prediction. This study demonstrates the necessity of a multidimensional assessment approach, future efforts should complement these findings with experimental validations for an applicable approach for clinical use.

Multi-Time Scale Energy Storage Optimization of DC Microgrid Source-Load Storage Based on Virtual Bus Voltage Control

The energy storage adjustment strategy of source and load storage in a DC microgrid is very important to the economic benefits of a power grid. Therefore, a multi-timescale energy storage optimization method for direct current (DC) microgrid source-load storage based on a virtual bus voltage control is studied. It uses a virtual damping compensation strategy to control the stability of virtual bus voltage and establishes a virtual energy storage model by combining different types of distributed capability units. The design of an optimization process for upper-level daily energy storage has the objective function of maximizing the economic benefits of microgrids to cope with unplanned fluctuations in power. A real-time energy-adjustment scheme for the lower level is introduced, and a real-time energy-adjustment scheme based on virtual energy storage for the short-term partition of the source-load storage is designed to improve the reliability of microgrid operations. The experiment shows that, in response to the constant amplitude oscillation of the power grid after a sudden increase in power, this method introduces a virtual damping compensation strategy at 20 s, which can stabilize the virtual bus voltage. From 00:00 to 09:00, the battery power remains at around 4 MW, and from 12:00 to 21:00, the battery exits the discharge state. The economic benefits from applying this method are significantly higher than before. This method can effectively adjust the source-load energy storage in real time. During peak electricity price periods, the SOC value of supercapacitors is below 0.4, and during normal electricity price periods, the SOC value of supercapacitors can reach up to 1.0, which can make the state of the charge value of supercapacitors meet economic requirements.

DDEL-06. CONVECTION-ENHANCED DELIVERY OF SEVEN DIFFERENT MOLECULES SHOW LARGE DIFFERENCES IN CONVECTIVE PROPERTIES BETWEEN MOLECULES. INFORMED DECISION MAKING FOR OPTIMIZED CATHETER PLACEMENT AND SUBSEQUENT INFUSION STRATEGIES

Abstract INTRODUCTION Glioblastoma (GBM) trials based on convection-enhanced drug delivery (CED) bypassing the blood-brain barrier have failed to prove efficient until now. Many factors influence CED. In this study we evaluated CED of seven different molecules using dynamic PET/MRI during infusion. This enabled in-depth evaluation of drug distribution and concentration gradients providing a more precise understanding of the Vd/Vi ratio and the extent of efficacy level across the Vd zone. Novel surgical catheter placement software algorithms, results in more informed-decision-making for catheter positioning and subsequent infusion planning strategies. METHODS Pigs were implanted with neuroinfuse™ drug delivery systems enabling intermittent drug infusions. Gadolinium, [124I]-UdR, [55Co]Co-DOTA-hEGF, [55Co]Co-DOTA-SP4, [18F]PSMA-1007 and three differently sized [64Cu]-labelled nanocarriers were evaluated in both pigs with and without a brain resection cavity. Gadolinium distribution was followed by MRI. PET imaging was used for the rest. To inform clinical trial design, strategic catheter placement and volumes to be infused, planning was investigated on several historical GBM cases. RESULTS Vd/Vi ratios ranged between 1.00 – 3.77. where large-sized liposomes performed best. Catheters stayed patent during weeks of repeated infusions. In the resected animals no leakage of drugs into the brain resection cavity was observed. Effective 3D modelling of novel catheter infusion planning aids provided visualized representations of tailor-made infusion plumes, capable of being suitably positioned to optimize surgical planning of catheters and transcutaneous reaccess port. CONCLUSION Large differences in convective properties between different molecules were observed. Large-sized liposomes as drug-carrier system showed superior performance to all other molecules. Vd/Vi ratios for promising drugs should be determined before initiating future clinical CED trials. Infusion concentration gradients to facilitate more precise Vd/Vi ratios provided important performance metrics for visualised infusion planning aids of a novel chronic drug delivery system, illustrating informed decision making for optimised catheter placement and subsequent infusion strategies is clinically translatable for GBM indications.

TMOD-36. NANOGLIOS: A MINIATURIZED PATIENT AVATAR ENABLING RAPID AND HIGH-THROUGHPUT PHENOTYPIC SCREENING FOR GLIOMAS

Abstract BACKGROUND Establishing pre-clinical patient derived orthtopical xenograft models for IDH-mutant and H3K27M-mutant gliomas has presented significant histological challenges. There is increasing interest in developing faithful patient-derived ex vivo 3D models to replicate these type of gliomas, aiming to accelerate drug screening efforts. METHOD We developed a rapid approach for establishing nanoliter-sized miniature glioma organoids, termed NanoGlios, by leveraging emulsion microfluidics. We tested the robustness of NanoGlios for neurosphere culture, glioma xenografts, and primary patient samples, focusing on H3K27M-mutant diffuse midline gliomas (DMGs) and IDH-mutant gliomas. We compared the morphological features of NanoGlios to their counterparts using high-content imaging, H&E staining, and histological analysis. Additionally, we evaluated the mutation and gene expression profiles of NanoGlios relative to their counterparts. Furthermore, we conducted proof-of-concept drug screening of NanoGlios with various inhibitors and established an AI-enhanced high-throughput phenotypic imaging-based screening platform. RESULTS We successfully established NanoGlios from various sample sources, including neurospheres, xenografts, and primary tissues harboring H3K27M or IDH1/2 mutations. NanoGlios derived from xenografts or primary tissues captured more heterogeneous patterns as compared to the neuropsheres. We were able to generate thousands of NanoGlios and perform drug assays for hundreds of conditions at passage 0 within two weeks from both resected glioma tissues and xenografts. The AI phenotypic screening enabled us to identify differential responses of NanoGlios to ONC-201 treatment and drug responses to mutant IDH inhibitors Vorasidenib and Ivosidenib, which was not able to be detected by conventional cell viability bulk assays.

CSIG-33. CERAMIDE-1-PHOSPHATE/CERK ARE REGULATORS OF ETMR GROWTH AND POTENTIAL THERAPEUTIC TARGETS

Abstract Embryonal tumor with multilayered rosettes (ETMR) is a highly aggressive CNS neoplasm which occurs almost exclusively in infants and is associated with an extremely poor prognosis. To identify functional signaling lipids that contribute to the aggressive nature of ETMR and that can be targeted therapeutically, we carried out mass spectrometry imaging on human ETMR patient samples, the patient-derived cell line BT183, and normal neural stem cells. We identified an accumulation of ceramide-1-photphate (C1P) within the rapidly proliferating embryonal tumor cells in patient samples and the cell model. We also detected high accumulation of C1P within the aberrant vascular proliferations in patient samples. Ceramide-1-phosphate is a pleiotropic bioactive signaling lipid that controls cell fate. C1P and its synthesizing enzyme, ceramide kinase (CERK), are known mitogens that have been shown to regulate cell proliferation in several non-CNS cancers. C1P is known to mediate the upregulation of PI3K/Akt/mTOR, MAPK/MEK/ERK1/2, Rho kinase, JNK, to promote cell survival and migration. After spatially mapping C1P accumulation in patient samples and our in vitro 3D models, we next carried out IHC to correlate lipid accumulation with its synthesizing enzyme, CERK. CERK was found to be abundantly accumulated in both endothelial and tumor cells within the tumor microenvironment of patient samples. Western blot analysis of CERK demonstrated a significant increase in the ETMR 3D tumorspheres compared to the NSC neurospheres. Treatment of the ETMR 3D tumorspheres with the CERK inhibitor, NVP-231, potently reduced cell growth and viability. Western blot analysis of ETMR tumorspheres at 8 and 24 hours post-treatment demonstrated a time-dependent decrease in N-MYC and a subsequent increase in p53. Studies are ongoing to validate these findings in vivo and to elucidate the signaling pathways that C1P/CERK regulate in both the vascular and tumor cells in ETMR.

Lessons learned in 3D modelling of underground structures

Gloria Wong and Trieska Wahyudi share their experiences in the 3D modelling of underground structures (primarily stations) for design, including the key lessons they have learned and the process flows they have developed consequently.

TMOD-20. RAPID PROCESSING AND BIOBANKING OF RESECTED BRAIN TUMOR TISSUE TO GENERATE PATIENT-DERIVED BRAIN TUMOR EXPLANT ORGANOIDS (GBOS) FOR PRECLINICAL STUDIES

Abstract Improved preclinical tools are urgently needed to translate new brain cancer treatments. Patient-derived brain tumor explant organoids (GBOs) offer promise for studying tumor cells in a relevant human tumor microenvironment and predicting patient responses to therapy. However, generating GBOs is time-consuming, costly, and technically challenging, hindering the creation of comprehensive biobanks covering the spectrum of brain tumor heterogeneity. This work presents a semi-automated method for producing GBOs, involving tumor tissue processing, size selection, and same-day cryopreservation, reducing generation time to less than 1 hour. We established a biobank of 24 GBOs from 33 samples (11 males and 13 females) with primary (n=13, GBO Yield (GY)>90%) and recurrent (n=5, GY>90%) glioblastomas, high-grade gliomas (HGG, n=2, GY≤50%), and low-grade gliomas (LGG, n=2 with GY>90%, n=2 with GY≤50%). Using GBO size and propidium iodide as readouts, we used this biobank to compare anticancer activities of novel idronoxil-conjugated benzopyran compounds (NX786, NX904/904E1) against Bortezomib (100% cell death reference). NX786 and NX904/904E1 reduced GBO growth (≥50%) in all primary glioblastoma and one (of two) recurrent glioblastoma GBOs with milder effects in LGG GBOs. Two (of four) primary glioblastoma, one (of two) recurrent glioblastoma, and one LGG GBOs exhibited significant cell death (>60%) in response to NX904/904E1. In contrast, NX786 induced cell death in one (of three) primary glioblastoma (34% cell death) and one (of two) recurrent glioblastoma (71% cell death) GBOs but not in LGG GBOs, together showcasing varied responses across different brain tumors. Highly-passaged GBOs lacking the non-malignant tumor microenvironment were more susceptible to these treatments, underlining the tumor microenvironment’s critical role in responses to anticancer agents. We provide a new method for efficient processing and cryopreserving GBOs, enabling the establishment of large biobanks for patient-specific preclinical drug testing across brain tumor subgroups in a clinically relevant human 3D model.

3D models related to the publication: Systematic contribution of the auditory region to the knowledge of the oldest European Bovidae (Mammalia, Ruminantia)

3D models related to the publication: Systematic contribution of the auditory region to the knowledge of the oldest European Bovidae (Mammalia, Ruminantia)

New design and construction of a mechanical gripping device with a telescopic link of a fruit harvesting robot

Abstract Gripping devices for harvesting fruits have such types of work as cutting, tearing and unscrewing. For apples, it is preferable to use slicing or unscrewing, while the fruit leg should not remain, damaging the apple during storage. In this article, we are developing a grab for harvesting apples. The gripper is used both for holding the fruit and for jamming, followed by unscrewing. One of the advantages is that the proposed method of collecting apples allows you not to waste time moving the manipulator from the tree to the basket, but only to grab and tear them off. The fruit enters the gripper device; after which it enters the fruit collection container through a rigid or flexible pipe. The gripper device is built on the basis of a ball-screw transmission, which is supplemented by a gear drive along the helical surface. This allows for rotation and rectilinear movement of the held fruit. The gripping device has a ratchet mechanism that allows you to fix the fruit. A mathematical model of the gripper device has been developed, which allows determining the torque of the engine depending on the position of the fingers. The parameters of the mechanism were optimized using a genetic algorithm, and the results are presented in the form of a Pareto set. A 3D model of the gripper device has been built and a layout has been developed using 3D printing. Experimental laboratory and field tests of the gripping device were carried out.

COMPARATIVE ANALYSIS OF STRESS-STRAIN STATE OF SINGLE-ROOTED TEETH DURING INDIRECT RESTORATION OF THE CROWN WITH STUMP INLAYS OF DIFFERENT DESIGNS

The aim of our study on the biomechanics of the tooth inlay is to select the most efficient design of stump pin inlay for indirect restoration of single-rooted teeth. Materials and methods. To implement the aim of the study, the biomechanics research was conducted in the following four designs of stump inlays: 1 - traditional, 2 - with a single-stage change in the diameter of the pin along its length, 3 - with a two-stage change in the pin along its length, and 4 - with a single-stage change in the diameter of the pin and a cap in the crown of the tooth, covering the end of the root. The mathematical modeling was performed using the common software MSC NASTRAN for finite element analysis. The package, with the help of which the elastic three-dimensional models of the dentition are built and analyzed based on the finite element procedure, determines the displacement of each node of the finite element along the axis system, with three coordinates, normal and tangential stresses, as well as equivalent Huber-Mises stresses, which are calculated according to the well-known formula of deformable solid mechanics Results. The minimum values of equivalent stresses in both the pin inlay and the dentin of the root of the tooth at the level of the apical end of the pin inlay occur when using a pin inlay with a one-stage change in the diameter of the pin and a cap on the crown of the premolar. At the same time, the values of equivalent stress in dentin at the level of the apical end of the inlay pin are closest to the maximum values of equivalent stresses observed on the surface of the root of the tooth (differences do not exceed 10%). The maximum values of equivalent stresses in both the pin inlay and the dentin of the root of the tooth at the level of the apical end of the pin inlay occur when using a pin inlay of conventional design. In this case, the difference in the values of equivalent stresses in the pin compared to the inlay with a one-stage change in the diameter of the pin and a cap is 9%, and in the dentin at the level of the apical end of the inlay pin, the difference in stresses is 10%. The maximum values of equivalent stresses in both the dentin of the root of the tooth to be restored and the pin of the stump inlay occur when applying a traditionally used pin inlay. Among the various pin inlays considered, a stump inlay featuring a single-stage change in the diameter of the pin and a cap on the crown of the tooth to be restored demonstrates the highest efficiency, yielding the lowest equivalent stresses in the dentin of the tooth's root.

Digital Twins’ Advancements and Applications in Healthcare, Towards Precision Medicine

This review examines the significant influence of Digital Twins (DTs) and their variant, Digital Human Twins (DHTs), on the healthcare field. DTs represent virtual replicas that encapsulate both medical and physiological characteristics—such as tissues, organs, and biokinetic data—of patients. These virtual models facilitate a deeper understanding of disease progression and enhance the customization and optimization of treatment plans by modeling complex interactions between genetic factors and environmental influences. By establishing dynamic, bidirectional connections between the DTs of physical objects and their digital counterparts, these technologies enable real-time data exchange, thereby transforming electronic health records. Leveraging the increasing availability of extensive historical datasets from clinical trials and real-world sources, AI models can now generate comprehensive predictions of future health outcomes for specific patients in the form of AI-generated DTs. Such models can also offer insights into potential diagnoses, disease progression, and treatment responses. This remarkable progression in healthcare paves the way for precision medicine and personalized health, allowing for high-level individualized medical interventions and therapies. However, the integration of DTs into healthcare faces several challenges, including data security, accessibility, bias, and quality. Addressing these obstacles is crucial to realizing the full potential of DHTs, heralding a new era of personalized, precise, and accurate medicine.

Bridging the Visualization Gap

The integration of three-dimensional (3D) modelling tools in educational settings promises a transformative shift in teaching complex concepts. Despite their potential, the actual deployment of such tools faces substantial pedagogical and technical challenges, primarily due to the "visualization gap" between traditional 2D resources and 3D constructs. This gap can significantly hinder students' understanding and retention of complex spatial concepts critical in disciplines such as medicine, engineering, and architecture. To address these challenges, this paper introduces the Integrated VR Educational Technology Assessment (IVRETA) framework, designed to evaluate and guides the development of virtual reality (VR) and augmented reality (AR) tools in education. IVRETA assesses tools across three dimensions: Interaction and Usability, Learning Enhancement, and Authentic Pedagogy and Adaptability. Applying this framework, we evaluate 3D Whiteboard, a practical tool designed to facilitate dynamic interaction with 3D models and enhance educational outcomes through immersive learning experiences. The paper underscores the potential of the 3D Whiteboard in bridging the visualization gap and improving educational practices across various disciplines, demonstrating how IVRETA can guide the assessment and improvement of educational technologies. By providing a robust foundation for the development and enhancement of educational technologies, IVRETA supports ongoing innovation in educational settings.

Development of a device for assessment of aortic root parameters and positioning of aortic valve cusps during aortic valve-sparing root replacement

Background. A promising method of surgical treatment of aneurysms of the root and ascending aorta (AA) with unchanged aortic valve (AV) cusps is aortic valve-sparing root replacement (VSRR) with AV reimplantation (David procedure). To date, there are no clear indications to make a choice in favor of valve-replacing or valve-sparing intervention. The result of visual evaluation and the choice of treatment method based on the surgeon’s experience remains the main criteria. Objective. In the experiment to develop a prototype and method of application of the device for positioning of AV cusps, which will simplify and standardize aortic valve-sparing root replacement, improve the results and increase the reproducibility of these operations. Design and methods. Three-dimensional (3D) modeling of the device components was performed in the parametric open-source computer-aided design environment FreeCAD 0.20.1. Two-dimensional sketches were converted into three-dimensional models and exported as stl files for 3D printing. Solid components of the model were made of polylactic acid (PLA-plastic), elastic components were made of rubber-like photopolymer (Dropstil F556 10 shore A) also by 3D printing using SLA technology. Results. The device consists of 2 similar ring-sizers of variable diameter connected by three struts of variable length. In the upper part of each of the struts fastenings to the distal ring represents T-shaped cutouts for temporary locking of the suture-holders passed through the commissures of the AV cusps. For proximal locking of the aortic graft and the proximal ring-sizer, 3 U-shaped sutures are used, passed from inside to outside through the AV ring, the proximal part of the graft and taken in the tourniquets. The diameters of the ring-sizers can be varied between 25–40 mm by rotating a worm drive. A graft is placed on the inner side of the device, the suture-holders attached to the tops of the commissures are locked in the T-shaped notches in the upper parts of the struts. The device will allow changing the position of the coaptation point, coaptation square and performing hydraulic tests in different positions of the cusps, as well as variable diameters at the level of the AV ring and sinotubular junction (25–40 mm). When the target position of the coaptation point, coaptation area and satisfactory hydraulic test result are achieved, the cusps with commissures are locked inside the graft and the device is removed. Conclusion. A new device has been developed to facilitate, reproduce, and standardize VSRR. The results obtained will facilitate and accelerate the performance of VSRR, increase the reproducibility of the technique, and reduce the risks of complications.

Empowering EVAR: Revolutionizing Patient Understanding and Qualification with 3D Printing

Background: This study addresses the need for enhanced patient education in the context of abdominal aortic aneurysm (AAA) and its treatment through endovascular aneurysm repair (EVAR). Effective patient education is essential for improving comprehension and engagement, particularly for those facing complex medical conditions. Methods: A total of 55 patients scheduled for EVAR participated in the study. Patient-specific three-dimensional (3D)-printed models of the participants’ aneurysms were created using computed tomography angiogram (CTA) scans. The educational intervention included a structured session utilizing these 3D models, with assessments conducted before and after the session, including the Mini-Mental State Examination (MMSE). Statistical analyses evaluated the knowledge gain and its correlation with cognitive function. Results: The results showed a significant increase in knowledge scores post-education (p < 0.001), with a mean knowledge gain of 2.36 points. Patients rated the effectiveness of the 3D models highly on a Likert scale, with a mean score of 4.64 for improving their understanding of the medical condition and procedural aspects. A weak correlation was observed between MMSE scores and knowledge test results. Conclusions: This study demonstrates the potential of patient-specific 3D models to enhance patient education in the context of EVAR, improving patients’ understanding of their medical condition and the procedure and thereby facilitating more informed decision-making.

Finite Element Simulation of Stoneley Wave Propagation in Fracture Zones in Wells

The formation and development of fractures increase reservoir heterogeneity and improve reservoir performance. Therefore, it is of great research value to accurately identify the development of fractures. In this paper, two- and three-dimensional models are constructed based on the finite element method and compared with the real axis integration method. The influence of different geometric parameters on the Stoneley wave amplitude is studied to assess the propagation of Stoneley waves in the fracture zone in the well. The results show a significant positive correlation between the width and number of fractures and the attenuation coefficient of Stoneley waves. The fracture angle has a negative correlation with the attenuation coefficient and lesser impact on Stoneley waves. In addition, Stoneley waves are less sensitive to changes in fracture location, while the sensitivity to fracture spacing is significant in the range of 50 cm to 75 cm. The main propagation depth of Stoneley waves occurs 20 cm from the wall of the well. Quantitative analyses of the fracture width, number, location, spacing, depth, and angle are conducted to determine the influence of the fracture parameters on the Stoneley wave attenuation coefficient, clarify Stoneley wave propagation in wells, and provide a theoretical basis for the accurate evaluation of fractures.

Optimized Design of Full‐Bridge LLC Planar Transformer Based on Variable‐Width Windings

ABSTRACTTo address the issue of significant loss increase in planar transformers at high frequencies in LLC resonant converters, the winding width of the transformer was optimized. This design minimizes losses due to eddy currents and skin effects, thereby optimizing the transmission efficiency of the LLC resonant converter. This paper developed a mathematical model of the transformer windings, analyzed the losses in the windings and the core of the planar transformer, and summarized the design rules for three commonly used winding geometries. By determining the optimal winding width, the transformer losses were optimized. Using the finite element simulation software Maxwell3D, a 3D simulation model of the transformer was constructed. The simulation results were compared, and a 500‐W full‐bridge LLC prototype was built to validate the principles summarized in the paper.

Understanding and measuring mechanical signals in the tumor stroma.

The tumor microenvironment (TME) is well known for its immune suppressive role, especially in solid tumors which are characterized by a thick, dense stroma. Apart from cell-cell interactions and biochemical signals, the tumor stroma is also characterized by its distinct mechanical properties, which are dictated by the composition and architecture of its extracellular matrix (ECM). Cancer-associated fibroblasts (CAFs) are the main producers and remodelers of the stromal ECM, and their heterogeneity has recently become a focus of intense research. This review describes recent findings highlighting CAF subtypes and their specific functions, as well as the development of 3D models to study tumor stroma mechanics in vitro. Finally, we discuss the quantitative techniques used to measure tissue mechanical properties at different scales. Given the diagnostic and prognostic value of stroma stiffness and composition, and the recent development of anti-tumor therapeutic strategies targeting the stroma, understanding and measuring tumor stroma mechanical properties has never been more timely or relevant.

Open-Source Software for Building-Integrated Photovoltaic Tiling for Novelty Architecture

Novelty architecture buildings can be tiled with conventional rectangular solar photovoltaic (PV) modules with both close-packed cells or partially transparent modules, vastly increasing renewable energy, reducing carbon emissions, and allowing for positive energy buildings. To enable this potential, in this study, for the first time, two open-source programs were developed and integrated to provide a foundation for designing and coating real-life novelty architecture buildings and objects with solar PV modules. First, a tiling algorithm was proposed and integrated into Blender that can generate solar PV modules on the face of any 3D model, and an augmented Python version of SAM was developed to simulate the performance of the resultant irregularly shaped PV systems. The integrated open-source software was used to analyze the energy performance of seven different novelty BIPVs located across the globe. The buildings’ energy performance was compared to conventional ground-based PV systems, and the results showed that the conventional arrays generate more energy per unit power than the BIPVs. The analysis reveals that the more complex the building model geometry, the less energy the building generates; however, the novelty BIPV power and energy densities far surpass conventional ground-based PV. The real estate savings observed were substantial, reaching 170% in one case where the BIPV reached 750 m in height. The BIPVs’ energy production is optimized by orienting the building via rotation and only needs to be carried out a single time for replication anywhere globally. The results show that the energy yield of the BIPV increases as the building becomes more detailed while the total power and energy decrease, indicating the need for the careful balancing of priorities in building design. Finally, the energy simulations demonstrate the potential for net-positive energy buildings and contribute to net-zero-emission cities. The findings indicate that BIPVs are not only appropriate for conventional residential houses and commercial buildings, but also for historical building replicas or monuments in the future. Further studies are needed to investigate the structural, electrical, and socio-economic aspects of novelty-architecture BIPVs.

Automatic segmentation and visualization of cortical and marrow bone in mandibular condyle on CBCT: a preliminary exploration of clinical application.

To develop a deep learning-based automatic segmentation method for cortex and marrow in mandibular condyle on cone-beam computed tomography (CBCT) images and explore its clinical application. 825 condyles of 490 CBCT images from 3 centers of Stomatology hospitalaffliated to Zhejiang University School of Medicinewere collected. A deep learning model was developed for simultaneous segmentation of cortex and marrow in mandibular condyle. It included a region of interest extraction network and a segmentation network based on 3D U-net, with modifications made to improve the segmentation boundaries. To evaluate its clinical potential, the model's segmentation efficiency and accuracy were compared with those of both junior and senior oral and maxillofacial radiologists. Additionally, the model's ability to assist junior radiologists in diagnosis through visualization and quantitative analysis of the generated 3D model was also assessed. The Dice similarity coefficient of the deep learning model was 0.901 (cortex), 0.969 (marrow), and 0.982 (entire condyle). Hausdorff distance was 0.755mm (cortex), 0.826mm (marrow), and 0.760mm (entire condyle). The model outperformed radiologists across all segmentation metrics, completing the task in merely 15.06s. With the assistance of visualization and quantitative analysis generated from the model's segmentation, the diagnostic accuracy of junior radiologists significantly improved. The proposed deep learning-based model achieved accurate and efficient segmentation for mandibular condylar cortex and marrow. It possessed capability to generate precise 3D models, facilitating visual quantitative measurement and aiding in the diagnosis of condylar bony changes. This model holds potential for clinical applications in orthognathic surgery, orthodontic treatment, and other TMJ-related interventions.

Electromagnetic responses on microstructures of duplex stainless steels based on 3D cellular and electromagnetic sensor finite element models

Electromagnetic responses on microstructures of duplex stainless steels based on 3D cellular and electromagnetic sensor finite element models