3D Software Research Articles

KPF Confirms a Polar Orbit for KELT-18 b

We present the first spectroscopic transit results from the newly commissioned Keck Planet Finder on the Keck-I telescope at W. M. Keck Observatory. We observed a transit of KELT-18 b, an inflated ultrahot Jupiter orbiting a hot star (T eff = 6670 K) with a binary stellar companion. By modeling the perturbation to the measured cross-correlation functions using the Reloaded Rossiter–McLaughlin technique, we derived a sky-projected obliquity of λ = − 94.°8 ± 0.°7 ( ψ=93.8−1.8+1.6° for isotropic i ⋆). The data are consistent with an extreme stellar differential rotation (α = 0.9), though a more likely explanation is moderate center-to-limb variations of the emergent stellar spectrum. We see additional evidence for the latter from line widths increasing toward the limb. Using loose constraints on the stellar rotation period from observed variability in the available TESS photometry, we were able to constrain the stellar inclination and thus the true 3D stellar obliquity to ψ=91.7−1.8+2.2° . KELT-18 b could have obtained its polar orbit through high-eccentricity migration initiated by Kozai–Lidov oscillations induced by the binary stellar companion KELT-18 B, as the two likely have a large mutual inclination as evidenced by Gaia astrometry. KELT-18 b adds another data point to the growing population of close-in polar planets, particularly around hot stars.

Application of digital twin technology in monitoring system of pump turbine

The advent of advanced productive forces has catalyzed the ongoing evolution of intelligent and digital technologies within the pump-turbine sector. The integration of digital technologies has not only enhanced production efficiency but also facilitated intelligent operation management, offering novel solutions for pump-turbine design and operation, thereby accelerating the digital transformation in fluid machinery. This study first established the theoretical framework of the digital twin system for pump-turbines, followed by the development of a mathematical model and the construction of a twin virtual model utilizing Proper Orthogonal Decomposition (POD) reduction theory. The model’s accuracy was validated through real-time pressure pulsation data, and exploratory investigations into cavitation prediction were subsequently carried out. To enable the visualization of the digital twin system, this study incorporated Open3D (Three-dimensional computer graphics tools) point cloud technology, effectively rendering the state cloud map of the pump-turbine. Finally, by synthesizing the proposed theories and technologies, the digital twin system’s visualization and monitoring for pump-turbines were successfully implemented through the Unity3D simulation platform. This study offers novel insights into intelligent monitoring and prediction of pump-turbines, holding significant implications for the modernization and intelligent advancement of the hydropower industry.

Point Cloud Completion: A Survey.

Point cloud completion is the task of producing a complete 3D shape given an input of a partial point cloud. It has become a vital process in 3D computer graphics, vision and applications such as autonomous driving, robotics, and augmented reality. These applications often rely on the presence of a complete 3D representation of the environment. Over the past few years, many completion algorithms have been proposed and a substantial amount of research has been carried out. However, there are not many in-depth surveys that summarise the research progress in such a way that allows users to make an informed choice of what algorithms to employ given the type of data they have, the end result they want, the challenges they may face and the possible strategies they could use. In this study, we present a comprehensive survey and classification of articles on point cloud completion untill August 2023 based on the strategies, techniques, inputs, outputs, and network architectures. We will also cover datasets, evaluation methods, and application areas in point cloud completion. Finally, we discuss challenges faced by the research community and future research directions.

Three-dimensional Analysis of Presurgical Nasoalveolar Molding Outcomes in Patients with Unilateral Cleft Lip and Palate: A Preliminary Study Using LED Surface Scanning Technology.

ObjectivesPresurgical infant orthopedic appliances, such as presurgical nasoalveolar molding (PNAM) devices, are used to attain optimal conditions for primary repair of the lip and nose (PRoLN) in patients with cleft lip. We aimed to analyze the three-dimensional (3D) outcomes of PNAM using an LED surface scanner. MethodsFifteen patients with unilateral cleft lip and palate (CLP) were included in this study and treated using a PNAM device. The patients’ faces were digitized pre- and post-PNAM using an Artec Space Spider scanner, and the scanned data were analyzed using 3D software (Geomagic Control X and ANSYS SpaceClaim). The columellar angle (CA), nostril curvature (NC) on the affected (NC_A) and unaffected (NC_U) sides, gap of cleft lip (GCL), alar width (AW), and nasal tip angle (NTA) were measured. ResultsCA increased significantly by 10.00° and NC_A by 0.030 mm-1 (p<0.001). GCL decreased by 4.98 mm2 on average and NC_U by 0.015 mm-1 (p=0.029 and 0.046, respectively). AW also decreased by approximately 1.22 mm pre- and post-treatment (p=0.002), and NTA, which shows a lateral profile, decreased by approximately 3.32° (p=0.002). ConclusionsThis study confirmed the orthopedic benefits of PNAMd treatment through 3D analysis using an LED surface scanner. Further studies involving a larger number of participants are warranted to study the effects of PNAM and analyze longitudinal changes in patients with CLP. Clinical SignificanceThis study shows that PNAM effectively corrects columellar deviation and nostril shape in patients with unilateral cleft lip, with 3D scanners enhancing primary lip and nose repair outcomes.

2D23D: 3D images from 2D images using statistical filters and color shading

Below is the development of an algorithm that allows generating 3D models from 2D images for analysis and visualization, with an application focused on images from the health and space sectors, domains chosen for their contrast characteristics. The characteristics used in the project are presented and determined, as well as 3D programming and visualization environment tools that allow the generation of voxel depth, as well as the management of image formats from the medical or spatial sector, including the results obtained with images. from both sectors, from which the 3D models were created.

Maxillary intaglio surface of CNC milled versus 3D printed complete denture bases – an in vitro investigation of the accuracy of seven systems.

The accuracy of the intaglio surface of maxillary complete dentures produced with a variety of digital manufacturing systems have been comprehensively investigated, however, not for multiple systems in the same study. This in vitro study endeavors to measure and compare the accuracy of the intaglio surface of maxillary complete denture bases constructed with different photopolymerization-based 3D printing and CNC milling systems. Two subtractive manufacturing machines and five additive manufacturing machines were used to manufacture a maxillary denture bases (n=10) for analysis. The samples were stored in artificial saliva at 37°C for 7 days to mimic intraoral use before they were air dried for 5 min, and then scanned with an E3 dental laboratory scanner to generate STL files. A 3D metrology software program was used to analyze the data against the original CAD design. Statistical differences were determined with 1-way analysis of variance (ANOVA) and the Kruskal Wallis test (α=.05). Color deviation heat maps were used to interpret areas of clinical significance. The results indicated that the subtractive manufacturing method delivers the truest and most precise intaglio surface of maxillary complete denture bases. The additive manufacturing technique delivers less true and less precise results with inconsistency observed between the different systems as opposed to the subtractive manufacturing groups which showed no significant differences. When manufacturing a complete maxillary denture base subtractive manufacturing will deliver the most consistent and true results.

Navigating the Future of 3D Laparoscopic Liver Surgeries: Visualization of Internal Anatomy on Laparoscopic Images With Augmented Reality.

Liver tumor resection requires precise localization of tumors and blood vessels. Despite advancements in 3-dimensional (3D) visualization for laparoscopic surgeries, challenges persist. We developed and evaluated an augmented reality (AR) system that overlays preoperative 3D models onto laparoscopic images, offering crucial support for 3D visualization during laparoscopic liver surgeries. Anatomic liver structures from preoperative computed tomography scans were segmented using open-source software including 3D Slicer and Maya 2022 for 3D model editing. A registration system was created with 3D visualization software utilizing a stereo registration input system to overlay the virtual liver onto laparoscopic images during surgical procedures. A controller was customized using a modified keyboard to facilitate manual alignment of the virtual liver with the laparoscopic image. The AR system was evaluated by 3 experienced surgeons who performed manual registration for a total of 27 images from 7 clinical cases. The evaluation criteria included registration time; measured in minutes, and accuracy; measured using the Dice similarity coefficient. The overall mean registration time was 2.4±1.7 minutes (range: 0.3 to 9.5min), and the overall mean registration accuracy was 93.8%±4.9% (range: 80.9% to 99.7%). Our validated AR system has the potential to effectively enable the prediction of internal hepatic anatomic structures during 3D laparoscopic liver resection, and may enhance 3D visualization for select laparoscopic liver surgeries.

Combining clinostating and proton irradiation for modeling the space environment: a case study with a Chernobyl accession of Arabidopsis thaliana

Purpose The study of mechanisms of plant responses to extreme conditions, particularly, microgravity and ionizing radiation, is crucial for space exploration. Modern space biology of plants focuses on increasing plant tolerance to harsh conditions of space environment. Given the limited access to the International Space Station, we designed and assembled the 3D clinostat for mimicking microgravity, which, in combination with proton irradiation, allows simulating space conditions. As a case study for testing the device, we studied the effect of clinostating on Arabidopsis thaliana accession originating from the Chernobyl exclusion zone. Materials and Methods Using the combined clinostating and proton irradiation, we simulated the conditions of long-term space flight for Arabidopsis thaliana plants of the Chernobyl accession – progeny of chronically irradiated plants, grown from field-collected (Masa-0) and laboratory-cultivated (Masa-0-1) seeds, and for wild-type Col-8. The clinostating and irradiation of plants were also carried out separately. Plant responses were studied as photosynthetic and phenotypic endpoints of seedlings. Results and Conclusions Parameters of chlorophyll fluorescence estimated immediately after exposure showed that Masa-0-1 plants were resistant to the simulated space conditions, while Masa-0 demonstrated modulation of non-photochemical fluorescence quenching. Proton irradiation generally inhibited photosynthesis of Masa-0, Masa-0-1, and Col-8 seedlings. The combined effect of irradiation and clinostating modulated the photosynthetic activity of Col-8 seedlings. The leaf area of seedlings did not change after exposure to simulated conditions. The 3D clinostat model and software are published along with this article for researchers interested in the field of space biology.

Dynamic and static nasolabial muscle anatomy of unilateral cleft lip adult patients based on magnetic resonance imaging data.

This study aims to obtain a three-dimensional reconstruction model based on magnetic resonance imaging (MRI) data of patients with different degrees of unilateral cleft lip and analyze the anatomy and changes in multiple groups of nasolabial muscles under dynamic and static conditions. One normal person and four adult patients with unilateral cleft lip were included, and MRI was performed under static (upper and lower lips closed naturally) and dynamic (pout and grin) conditions. 3D Slicer software was used to reconstruct the model and draw the anatomic morphology of nasolabial muscles. The distance between the junction (where the muscle merges into the orbicularis oris) of the levator muscle, zygomaticminor muscle, and zygomatic major muscle to the median sagittal plane, the starting point to the junction point, the dynamic and static junction points, and the angle between the connection of dynamic and static junctions and the horizontal plane were measured under three kinds of movements, and the ratio was calculated. In all patients, under dynamic and static conditions, the distance from the muscle junction to the median sagittal plane, their ratios of the cleft side to the non-cleft side were all greater than 1. While the ratio of the distance from the starting point of the muscle to the junction point is less than 1. At static conditions, the two ratios of the same muscle increased gradiently with the severity of the cleft, and the ratio of the zygomatic minor muscle was prominent in the same patient. The ratio of the cleft side to the non-cleft side was greater than 1, and the value for comparison was the angle of the line from the static to the dynamic junction and the horizontal plane. The symmetry of the insertion site of the orbicularis oris and the linear distance of both sides of the muscle are related to muscle and cleft types. The angle of muscle contraction on the cleft side is greater than that on the non-cleft side.

Accuracy of implant abutment level digital impressions using stereophotogrammetry in edentulous jaws: an in vitro pilot study

BackgroundIn edentulous jaws, factors such as the number of implants, cross-arch distribution, and the angle among implants may affect the accuracy of the implant impression. This study explored factors influencing the accuracy of implant abutment-level digital impressions using stereophotogrammetry in edentulous jaws.MethodsTwo standard all-on-4 and all-on-6 models of edentulous jaws were constructed in vitro. In the stereophotogrammetry group (PG), the implant digital impression was made using stereophotogrammetry and saved as an STL file. In the conventional group (CNV), the impression was made using the open-tray splint impression technique. An electronic and optical 3D measuring instrument was used to scan the standard model and the conventional plaster model to obtain STL files. Using 3D data processing software (GOM Inspect Pro, Zeiss), the distance and angle between the abutments in the CNV impression and the PG impression were measured and compared with the data from the standard model.ResultsThe distance deviation in the PG and the CNV was 145 ± 196 μm and 96 ± 150 μm, respectively, with a significant difference (P < 0.001). The angle deviation in the PG and the CNV was 0.82 ± 0.88° and 0.74 ± 0.62°, respectively, with no significant difference (P = 0.267). In the PG, the distance deviation was negatively correlated with the distance between implants (r = -0.145, P = 0.028) and positively correlated with the angle of implants (r = 0.205, P = 0.002). The angle deviation was negatively correlated with the distance between implants (r = -0.198, P = 0.003) and positively correlated with the angle of implants (r = 0.172, P = 0.009). In the CNV, the effect of inter-implant distance on impression accuracy was also shown by Spearman correlation analysis: r = 0.347 (P < 0.001) for distance deviation and r = -0.012 (P = 0.859) for angle deviation. The effect of inter-implant angulation on impression accuracy deviation was r = -0.026 (P = 0.698) for distance deviation and r = 0.056 (P = 0.399) for angle deviation.ConclusionsThe CNV method is closer to the real value of the original model. The distance between implants and the distribution angle had a weak correlation with the accuracy of digital impressions but no significant correlation with the accuracy of traditional impressions.

415 - Interactive 3D Models and Animations for Cardiac Imaging Education

415 - Interactive 3D Models and Animations for Cardiac Imaging Education

METHODS FOR DEVELOPING STUDENTS' DESIGN SKILLS

Develop students' design skills using graphics software and 3D printers and other software. In addition, theoretical information on the development of design skills is provided.

Optimization of ultrasound-assisted biodiesel production from python fat oil using response surface methodology

Diversification of oil feedstocks for biodiesel production is very necessary to reduce dependence on traditional vegetable oils and animal fats. Therefore, a conventional and ultrasound-assisted single-step transesterification process was optimized using response surface methodology (RSM) for biodiesel production from a novel feedstock python fat oil (PFO). Second-order polynomial models of the conventional (CM) and ultrasound-assisted (USM) methods were used to predict the biodiesel yield, and the coefficient of determination (R2) was found to be at 0.9946, and 0.9873, respectively. The optimal biodiesel yield of USM calculated from the model is 99.12% with the following reaction conditions: PFO/methanol ratio of 33.77% wt.%, PFO/KOH ratio of 1.05 wt.%, and reaction time of 128.53 min. Biodiesel yield results under optimal conditions have demonstrated that the regression models are consistent with experimental data. Besides, the biodiesel yield of USM (98.90%) was significantly higher than that of CM (92.73%). In particular, the properties of PFO biodiesel produced under optimal conditions were found to agree with EN 14214 standard specifications. In summary, single-step biodiesel production from the PFO new feedstock with USM can be commendably used to engender and adopt a more sustainable and environmentally friendly energy approach.

Meshing Pair Geometry of the Intersecting-Axis Internally Geared Screw Compressor

The Intersecting-Axis Internally Geared Screw Compressor (IISC) is an emerging advanced positive displacement machine showing the potential to greatly broaden the application of screw compressor technology. The core component of the IISC is an internally geared meshing pair with the intersecting-axis gearing, while its design methodology has not been disclosed yet. To fill the gap, this paper established the geometry model for the meshing pair and discussed the influence of its core parameters on geometric performance. First, the generation model of meshing pairs was presented, and the complete parameters set of meshing pairs was defined. The established model was verified by a meshing pair manufactured by 3D printing and CNC techniques. Next, the geometric analysis model of IISCs was established such as working volume and leakage channels, which was verified by commercial 3D software. Using the analysis model, the mesh pair parameters (rotor profile, cone angle, wrap angle, and L/D ratio) were discussed to reveal the design methodology of IISCs. Finally, the variable-pitch technology was discussed, and a novel variable-pitch method was proposed to further enhance the performance of IISCs. This paper could effectively guide the design of IISCs to further promote the development of the screw compressor technology.

Leg muscles of migratory locust (Locusta migratoria) as a protein source: Extraction, protein composition and foaming properties

Migratory locust (Locusta migratoria) is an edible insect species that is usually consumed at the adult developmental stage and represents a valuable source of proteins. Locusts can be processed into food ingredients or directly consumed after removal of legs and wings. Legs represent a unique matrix, which comprises a chitin-based exoskeleton typical for insects and muscle tissues commonly occurring also in other animals. Muscle proteins can be easily extracted from traditional animal sources, but the efficiency of these methods for locust legs as well as the functional characteristics of the resulting protein extracts have not been previously explored. This study first compared protein extraction methods at acid, alkaline, and salt-assisted conditions. All three methods resulted in a significantly higher extraction yield from locust leg muscles (0.465–0.595 g/g) than from whole locusts (0.061–0.125 g/g). Shotgun proteomics of the protein fraction extracted at alkaline conditions assigned 310 muscle proteins, comprising components assigned to energy and carbon metabolism, as well as to skeletal, protein folding, membrane trafficking, and cell adhesion functions. The techno-functional potential of locust leg muscles was assessed by a foamability assay. Foam stability of locust leg extracts varied as a function of pH extraction and re-solubilization conditions and was significantly higher (58.3–70.8 %) than for whey proteins taken as a benchmark (38.3–51.7 %); foam capacity at t = 0 h was in the range of 48.6–68.8 %. This study demonstrates that locust legs, which can be a by-product of locust consumption or processing, should be considered a rich source of muscle proteins with promising technological functionality.

The Impact of Artificial Intelligence on Reducing the Learning Curve in 3D Modelling: Enhancing User Experience through Automation and Personalized Assistance.

The purpose of this research paper is to analyse the effects of Artificial Intelligence in 3D modelling software applications to the user experience with an understanding of how the incorporation of automated processes can alleviate the steep learning curve felt by first time users. Concisely the study focuses on the degree to which assistance offered and the tools that helps to manage the work flow improve the accessibility for inexperienced users. Thus, the paper employing the analysis of the degrees of user satisfaction and productivity targeted by these automatic features will illustrate the contribution of these features to the improvement of the modelling environment, targeting the higher percentage of users’ engagement and successful 3D design project implementation. Therefore the study affirms the hypothesis that AI aids in easing the complexities in software hence creating breakthrough creativity and innovation for first time users.

The 3D tree dataset: an artistic experiment using a voxel-based GAN

AbstractIn visual culture, Generative Adversarial Networks (GANs) have been used to generate two-dimensional images, video, and three-dimensional forms. Whilst there are a relatively large number of conditional datasets of two-dimensional images, there are fewer datasets of three-dimensional objects available for training, evaluation, and practical use. In this paper, we introduce a synthetic dataset of 3D trees that provide novel geometric challenges for machine learning and describe our use of this dataset in training and qualitative evaluation via a public exhibition and survey. The 3D Tree Dataset was made using random variations of 76 bespoke tree templates based on art historical references to favor interesting, beautiful, and varied trunk and branch shapes. In generating and experimenting with this dataset, we wanted to know how a geometrically complex series of organic forms would challenge voxel-GANs compared to existing datasets comprising industrial objects such as chairs and cars. As an interdisciplinary project between visual arts and computer science, we used 3D printing and animation to visualize and communicate our outputs to non-specialist audiences. In this paper, we describe and share the 3D Tree Dataset, outline the process of generating the dataset, describe the GAN architecture and application used to test the dataset and discuss the results relative to our artistic and cultural goals.

Three-Dimensional Geometry Values and Clinical Determinants for the Annulus of the Tricuspid Valve in a Japanese Population.

The tricuspid annulus (TA) is the primary target of tricuspid valve (TV) surgery for tricuspid regurgitation (TR). However, the reference values for TA geometry in the Japanese population is currently unavailable. We aimed to elucidate the geometric reference values of the TA in Japanese individuals using 3-dimensional (3D) echocardiography.We conducted a prospective study using transthoracic 3D echocardiography on 142 healthy Japanese subjects aged between 20 and 79 years. The tricuspid geometric parameters in the late-diastole and the mid-systole were analyzed using custom 3D software (Realview™).After excluding 46 subjects with poor images, data from 96 subjects (67.6%) were analyzed. TA area and circumference showed strong correlations with body surface area (BSA) (P < 0.001 for all), while some of these parameters exhibited weak correlations with age. Gender differences in TV geometry were assessed across 3 age groups: 20-39 years (42 subjects), 40-59 years (28 subjects), and 60-79 years (26 subjects). In the youngest subjects (20-39 years), males had a significantly larger TA area and smaller anterior-posterior and medial-lateral diameters (P < 0.001 for all), even after adjusting for BSA, indicating gender differences of TA geometry. These differences diminished with age.We present reference values for TA geometry by age and gender in a Japanese cohort. BSA may be a suitable metric for indexing the TA parameters. While age-related changes in TA parameters may not be significant, gender differences, particularly in younger individuals, persist even after adjusting for BSA.

A Study on the Nasal Index of Malocclusion Patients Using Cone-Beam Computed Tomography 3D Program

A Study on the Nasal Index of Malocclusion Patients Using Cone-Beam Computed Tomography 3D Program

Applying 3D Models of Giant Salamanders to Explore Form-Function Relationships in Early Digit-Bearing Tetrapods.

Extant salamanders are used as modern analogs of early digit-bearing tetrapods due to general similarities in morphology and ecology, but the study species have been primarily terrestrial and relatively smaller when the earliest digit-bearing tetrapods were aquatic and an order of magnitude larger. Thus, we created a 3D computational model of underwater walking in extant Japanese giant salamanders (Andrias japonicus) using 3D photogrammetry and open-access graphics software (Blender) to broaden the range of testable hypotheses about the incipient stages of terrestrial locomotion. Our 3D model and software protocol represent the initial stages of an open-access pipeline that could serve as a "one-stop-shop" for studying locomotor function, from creating 3D models to analyzing the mechanics of locomotor gaits. While other pipelines generally require multiple software programs to accomplish the different steps in creating and analyzing computational models of locomotion, our protocol is built entirely within Blender and fully customizable with its Python scripting so users can devote more time to creating and analyzing models instead of navigating the learning curves of several software programs. The main value of our approach is that key kinematic variables (e.g. speed, stride length, and elbow flexion) can be easily altered on the 3D model, allowing scientists to test hypotheses about locomotor function and conduct manipulative experiments (e.g. lengthening bones) that are difficult to perform in vivo. The accurate 3D meshes (and animations) generated through photogrammetry also provide exciting opportunities to expand the abundance and diversity of 3D digital animals available for researchers, educators, artists, conservation biologists, etc. to maximize societal impacts.