Articles tagged with Three Dimensional Modeling
Scientists at Kyoto University propose a novel approach using holograms to approximate the universe's expansion in de Sitter space. The model uses conformal field theory and a positive integer for the cosmological constant, enabling the identification of the first example of two-dimensional CFT.
A novel three-dimensional model of the fluid stored deep in Earth's crust along the Cascadia Subduction Zone provides new insight into how the accumulation and release of those fluids may influence seismic activity. The study's findings have applications for increasing understanding of seismic activity along the Cascadia Subduction Zone.
A team of scientists discovered a mathematical principle explaining how cells connect to form tissues and organs, shedding light on embryonic development and organ formation. The study found that epithelial cells can adopt complex three-dimensional shapes like scutoids, which determine cellular connectivity and tissue properties.
Researchers developed smart textiles that sense wearer's posture and motions using a novel fabrication process called thermoforming, which improves pressure sensor precision. The technology has potential applications in healthcare and rehabilitation, such as tracking gait or monitoring pressure on diabetic patients' feet.
A team of researchers has successfully created complex artificial tissue models, including a full-scale human heart model, using focused rotary jet spinning. This method enables the creation of intricate details and spatially varying alignment, rivaling biological tissues in mechanical behavior.
Researchers at Nagoya University created a 3D model of the human genome structure, analyzing its dynamics and functions. The study provides new insights into chromatin distribution, cell division, and transcription regulation, shedding light on cellular processes and potential disease mechanisms.
Researchers developed a low-cost 3D model of the brain to study SARS-CoV-2's neurological effects. The adapted virus replicates 30 times more efficiently in astrocytes than neurons, highlighting the importance of these cells in central nervous system infection.
A new approach based on deep learning AI detects weak gravitational signals, or PEGS, generated by large-mass motion in megaquakes. This allows for real-time tracking of earthquake growth after a magnitude 8 event.
Researchers found that plesiosaurs used a unique swimming motion, twisting their flippers to create lift and propel themselves through the water. This was achieved by using muscles to twist the flippers around their long axis, allowing for efficient swimming without rotating the upper arm and thigh.
Low-frequency tectonic tremors in Alaska are linked to high levels of dehydration in the Yakutat terrane, a subducting oceanic plateau. The study suggests that this dehydration reaction is caused by temperature and pressure conditions during plate subduction.
A new study found that microgravity analog culture profoundly affects the microbial infection process in 3-D human tissue models. This is critical for ensuring astronaut health on extended space missions and sheds light on mysterious processes of infection on Earth.
Researchers from Korea Maritime and Ocean University have developed a way to synthesize high-performance functionally graded materials with minimized defects. By controlling the mixing gradient of component materials, they improved mechanical properties and eliminated interfacial cracks.
Researchers at Singapore University of Technology and Design developed a new machine learning approach to model underwater robot dynamics, allowing for efficient swimming in complex environments. The approach, published in IEEE-RAL, uses deep neural networks to predict required flapping motions for a set of given propulsive force targets.
A new study developed a way to use satellite imaging data to create 3D images that can quickly detect changes on the Earth's surface. The tool could be used to detect significant natural disasters in remote regions, giving first responders accurate information about the needs of the affected region.
A team of scientists has developed a solution to accurately simulate how the atmosphere works by linking large- and small-scale simulations. This helps model winds, transport of pollutants, climate projections, and weather forecasts with greater accuracy.
Researchers developed a 3D printing method to preserve coral reefs, using natural structure data and environmental DNA sampling. The process creates customizable structures that can be tailored to specific reef environments, promoting biodiversity and supporting regrowth.
The April issue of SLAS Discovery highlights innovative approaches to accelerating lead identification for pancreatic cancer therapies. Authors explore the potential of completely scaffold-free 3D models and automated organoid assays to improve disease modeling and drug discovery.
The new computational tool, AF2Complex, predicts the structure of protein complexes and their interactions, offering insights into biomolecular mechanisms. The model is based on AlphaFold 2 and performs well in predicting protein structures and complex formations.
Two new methods for producing high-resolution visualizations of small artefacts are presented, allowing anyone to create high-quality images and models with minimal effort and cost. The protocols provide detailed workflows for photographic acquisition and processing, enabling replicability and reproducibility in the field of archaeology.
New research suggests diverse microbial life existed on Earth at least 3.75 billion years ago, dating back to a time when the planet was still forming. The study, led by UCL researchers, analyzed ancient rock formations and found evidence of complex structures that could not have been created through chemical reactions alone.
A team of researchers developed a novel chip-based infection model to study invasive aspergillosis, a mold infection that affects the lungs. The model allows for live microscopic observation of damage caused by fungal hyphae and the response of immune cells.
A new deep learning-based model called Highlights on Target Sequences (HoTS) predicts binding between drugs and target molecules, providing interpretable results. The model can predict target proteins' binding regions and interactions with drugs without a 3D complex.
Researchers used X-ray computed microtomography to produce stunning 3D reconstructions of the proteus' head, revealing extensive changes in sensory organs and physical appearance. The study provides detailed information about evolutionary-designed adaptations for surviving in lightless caves.
Researchers at the University of Tokyo have developed a new model to aid interpretation of atomic resolution molecular images. The Z-correlated molecular model accurately fits imaging data and helps chemists analyze electron microscope images without theoretical calculations.
The University of Texas at El Paso establishes a new Systems Modeling and Simulation concentration, enhancing students' skills in data analytics, computer simulation, and machine learning. The program aims to train students for innovative industries with rapidly changing environments.
Researchers at KTH Royal Institute of Technology created a 3D model of living brain cancer using cavitation molding technique. The model closely replicates human tissue and maintains cell viability, making it suitable for drug screening.
Scientists at Michigan Medicine have developed a new way to grow tiny models of organs, called organoids, using a simple suspension culture. This breakthrough improves the understanding of human development and could lead to new insights into disease.
Researchers developed a novel method of measuring aortic growth, called vascular deformation mapping, which outperforms standard manual rating methods. The technique uses high-resolution CT imaging to calculate three-dimensional changes in the aortic wall, achieving an accuracy of less than 1 millimeter.
University of Utah researchers measured 14 rock towers in Utah to predict their seismic stability. They used mathematics that describe built structures' resonance to create a dataset, allowing for predictions without climbing the towers.
A team of scientists has developed a three-dimensional airway model made from patient-derived stem cells to study COVID-19 infection. The model replicates the initial stages of infection and can be used to test potential antiviral drugs, with results showing that multi-ciliated airway cells are the primary entry point for the virus.
Researchers from Tel Aviv University have engineered 3D human spinal cord tissues and implanted them in lab models with long-term chronic paralysis, resulting in an 80% success rate in restoring walking abilities. The team aims to conduct clinical trials in human patients within a few years to make the treatment commercially available.
Researchers at the University of Massachusetts Amherst developed a physical model that yields unprecedented high-resolution look at slip rates of faults, determining likelihood of earthquakes. The study reveals fault lines in kitchen sinks can predict earthquake-causing forces.
Researchers at Harvard SEAS developed a new way to simulate tens of thousands of bubbles in foamy flows. This allows for predictive simulations in scales ranging from microfluidics to crashing waves, opening up possibilities for industrial applications such as food production and drug development.
Researchers at Brown University have developed a new laboratory test model to investigate fibrosis treatments without the use of animals. The model uses human cells and replicates not only the structure of human tissue but also its mechanics, enabling scientists to study the underlying mechanisms of fibrosis and test potential treatments.
Breakthrough research reveals Tuberous Sclerosis Complex arises from human-specific progenitor cells, explaining its pathology. Human-derived cerebral organoid models shed light on complex brain development and potential mechanisms for other diseases.
A new combined 3D modelling technique can accurately predict abnormal heart rhythms in patients with hypertrophic cardiomyopathy approximately 80% of the time. The approach also identifies cardiac diffuse fibrosis as a risk factor for these abnormalities, potentially guiding patient care.
Researchers at Washington University in St. Louis described for the first time the structure of CcsBA, a protein that transports heme and attaches it to cytochromes. The study revealed two conformational states of CcsBA, allowing scientists to characterize the enzyme mechanism.
Researchers found that theropods strengthened their jaws through time, with expanding rear jaw portions and evolving different jaw shapes depending on diet. This allowed them to exploit a wider range of food items and minimized bone fracture risk.
A new study reveals that modern top-down climate-related factors combined with traditional bottom-up tectonic models can help uncover the history of the Andes Mountains. The research suggests that a submerged volcanic hotspot chain, known as the Juan Fernandez Ridge, plays a crucial role in shaping the Andes' unique tectonic setting.
Researchers have captured a 1,000-year-old supernova in 3D images, revealing unprecedented details about the elements ejected during a star's explosion. The study provides a three-dimensional map of these elements, shedding light on the conditions at the time of the explosion and the importance of asymmetries in supernovae.
A new study uses deep learning to build three-dimensional models of protein interactions in eukaryotes, revealing hundreds of previously unknown complexes. This research has significant implications for understanding cellular processes and developing new medications for various health disorders.
Research reveals that captive animals on soft food diets may experience weaker skulls and reduced bite effectiveness when released back into the wild. The study found that rats fed softer diets had weaker skulls, but those switched from hard to soft food as juveniles also showed signs of weakened bone growth.
Researchers developed a novel approach to study molecular fluctuations in one-dimensional shock waves, characterizing frequencies two orders of magnitude lower than those in boundary layer flow. The model correctly predicts fluctuations in high-speed vehicle shocks traveling at Mach 2-10.
Researchers at LSU Health have rediscovered the correct anatomy of the hip muscles, finding that they do not join into a single tendon but instead attach to different regions. This discovery has significant implications for understanding the evolution of human upright gait and bipedal locomotion.
Researchers uncover fossil remains of Issi saaneq, a long-necked herbivore that lived on Greenland during the Late Triassic Period. The discovery sheds light on the evolutionary pathways and timeline of sauropods, iconic land animals that existed for nearly 150 million years.
Theoretical physicists modelled the region around M87's supermassive black hole, confirming that gravity plays a key role in accelerating particles out to thousands of light years. The findings provide further evidence for Einstein's theory of general relativity and its application to astrophysical phenomena.
Researchers used 3D particle simulations to model energetic-particle radiation, which could aid in protecting space assets. The study revealed underlying mechanisms controlling particle acceleration during magnetic reconnection events.
Researchers at Arizona State University have refined cryogenic electron microscopy to produce more accurate structures of biological samples. The new method uses a statistical approach to model transitory structures, which can play a vital role in biological processes.
Researchers from DGIST propose an advanced network architecture that combines software-defined networks (SDN) and network function virtualization (NFV) to overcome the drawbacks of traditional networks. The proposed system can fine-tune processing resources, support dynamic service chaining, and improve performance and security.
Researchers developed a novel approach to 3D image segmentation, segmenting the gaps between parts instead of contours, to automate tedious tasks. The technique demonstrates promising results in diagnosing TMJ-related issues and has potential applications in other fields.
Researchers say the July 2021 flood in western Germany was more destructive than predicted, with mobilization of dead wood and sediment contributing to its impact. The event highlights the need for science to better understand precipitation-induced floods and their associated self-reinforcing effects.
Researchers at Nanyang Technological University have developed a 3D model of the human artery blood vessel wall to study atherosclerosis. The model, called an 'arterial wall-on-a-chip', helps understand how cholesterol and inflammatory cells contribute to the disease.
Researchers used quantum computers to study polymer models by recasting them as optimization problems, exploiting the machine's efficiency in solving such tasks. This approach enables harnessing the potential of quantum machines in a hitherto unexplored context.
A CT scan of an ancient reptile skull found nearly identical to one from much older elasmosaurids, indicating minimal evolutionary change over 22 million years. The discovery challenges the notion that such species would undergo significant changes in their morphology over extended periods.
A study on Homo floresiensis found its bite could exert around 1300 Newtons of force, comparable to modern humans and some extinct cousins. This suggests that the Hobbit might have been at greater risk of facial bone strain or dislocation when biting hard foods.
Researchers from FAU Harbor Branch adapted Structure-from-Motion photogrammetry to generate 3D models for tracking lesion progression and impacts on diseased coral colonies. The study found that stony coral tissue loss disease prevalence varied significantly across location, but not through time.
A new study on bats reveals that their brain's GPS system represents three-dimensional space in a unique way, with grid cells packed like spheres rather than circles. The researchers found that this arrangement allows for local order but lacks global symmetry.
Researchers have developed a neural network model called BiteNetPp to detect protein-peptide binding sites, enabling the design of peptide-based drugs. The model consistently outperforms existing methods and can analyze a single protein structure in under a second, making it suitable for large-scale studies.
Researchers at Oak Ridge National Laboratory are advancing various technologies to minimize oil leaks, enable 3D printing in space, and increase fuel efficiency from ethanol. They have developed a quantum sensing system to detect pipeline leaks more quickly, built a thermal protection shield for a capsule launched into space, and creat...
The June edition of SLAS Technology features protocols for controlled cell seeding, splitting and expansion of human fibroblasts, induced pluripotent stem cells, and neural progenitor cells. Researchers have made significant improvements in forming complex 3D structures but face challenges in automating assay protocols.