Articles tagged with Computer Modeling
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers from Caltech discovered that fast ruptures along thrust faults can cause one side of the fault to twist away from the other, opening a gap that then snaps shut. This mechanism has the potential to change our understanding of how tsunamis are generated.
A multi-university study aims to create a computer model of how the brain forms, stores and retrieves complex memories. The goal is to have human-like abilities to remember, understand and learn from events.
The study explores disease-control measures using a simplified SIR model with low computational requirements, and proposes a platform for public-health collaborators to use and provide feedback on models. The research aims to improve disease-related decision making by providing quantitative estimates of outbreak trajectories.
Researchers developed a method to estimate crop yields from space using high-resolution satellites, which could improve agricultural productivity and test intervention strategies. By combining satellite imagery with computer models of crop growth, they achieved surprisingly accurate predictions of actual productivity on the field.
A new study suggests the Galapagos Islands' incredible biodiversity emerged approximately 1.6 million years ago when the Equatorial Undercurrent collided with the archipelago, bringing nutrient-rich waters to the surface. This event allowed for the growth of unique plants and animals that thrive in the islands' ecosystem.
A new study by Brigham Young University researchers may lead to a more accurate system for early detection, diagnosis, and treatment of prostate cancer. The computer model uses medical images to reproduce the growth patterns of prostate cancer on the anatomy of a patient's prostate.
Researchers at UC Davis created a computer model that predicts the behavior of E. coli bacteria, using a massive dataset called Ecomics, which includes profiles of gene expression and protein activity across various conditions. The model, MOMA, can help scientists design experiments and identify key pathways for antibiotic resistance.
Scientists used GRAIL data to create a computer model that recreated the rings' formation, revealing new details about the interior structure of Orientale. The team estimates that about 816,000 cubic miles of rock was blasted away during the collision.
A new approach to modelling land use change developed at UBC enhances existing computer planning models, enabling planners to consider neighboring land-use patterns. The CLUE-S modeling system was adapted to facilitate regional planning and collaboration among bordering jurisdictions.
A new data-cleaning tool called ActiveClean analyzes a user's prediction model to identify mistakes and update the model as it works. By minimizing human error, ActiveClean improves model accuracy and reduces statistical biases, making it an essential tool for building better prediction models.
Computer models reveal a vast array of knots in chaotic waves, including those tabulated by mathematicians, with implications for understanding optical and acoustic landscapes
Researchers developed a machine learning program that can detect human activity in videos sooner and more accurately than previous methods. The program is trained to gain confidence in its predictions over time, allowing it to detect activities earlier and with higher accuracy.
Astrophysicists at Northwestern University predict that LIGO's first detection of merging black holes could have been formed through dynamic interactions in the star-dense core of an old globular cluster. The theory, known as dynamical formation, is one of two recognized main channels for forming binary black holes detected by LIGO.
Biologist Juliano Sarmento Cabral's research focuses on understanding island ecosystems' diversity and its connection to the past. He simulates nature in virtual worlds to study how environmental factors affect plants and animals, including the impact of climate change on epiphytes.
A University of Washington team developed a highly capable five-fingered robot hand that can perform dexterous manipulation and learn from its own experience. The hand uses machine learning algorithms to model physics and plan actions, allowing it to adapt to new tasks without human intervention.
Researchers have built a computer model that mimics bees' ability to detect motion and navigate complex environments. The model uses optic flow to control flight and avoid obstacles, paving the way for more efficient autonomous flying robots.
Researchers at the University of Sheffield developed a computer model to understand how bees use vision to avoid collisions. The model suggests that adding speed detection capabilities to existing motion-direction detecting circuits could enhance the navigation and routing algorithms for autonomous flying robotics.
Researchers at NC State developed a model that expedites design of MIMO antennas, reducing calculation time from days to minutes. The model identifies efficient configurations for antenna designs, saving designers an enormous amount of time.
Researchers used computer models and laboratory experiments to study bubble behavior in magma reservoirs. They found that bubbles accumulate faster in crystal-rich zones, leading to overpressurization and potential sulfur emissions. This discovery sheds light on the underlying mechanisms of super-volcanic eruptions.
A recent study by University of Montana researcher Jesse Johnson reveals that geothermal heat enhances rapid ice flow and subglacial melting in northern Greenland. The research, published in Nature Geoscience, identifies a west-to-east zone with anomalously high heat that drives widespread melting and rapid ice flow.
Researchers used computer models to analyze the evolution of sauropod dinosaurs' bodies, finding that changes in shape coincided with major events in their history. The study reveals a link between size, weight distribution, and body shape, shedding light on the success of titanosaurs.
Scientists at Lawrence Livermore National Laboratory have developed new gas signature models to aid in locating and identifying underground nuclear tests. The models use computer simulations and field experiments to track the evolution of gases from UNEs, potentially helping inspectors identify clandestine sites within a search area.
Researchers have developed a new model that allows them to monitor the molecular traffic inside a single cell. This is crucial for studying diseases like Alzheimer's, Parkinson's, and Huntington's, where faulty transport can be fatal.
Researchers found that humans can recognize objects in partial- or low-resolution images, with a
A new NASA visualization reveals an unusual 2015 El Niño pattern, with warmer sea surface temperatures across the Pacific and Atlantic. This differs from the stronger Eastern Pacific pattern seen in the 1997-1998 event.
A new study using an advanced computer model casts doubt on the previously held theories about Yellowstone's origins, adding to the mystery of its formation. The simulation results showed that a mantle plume was blocked from traveling upward toward the surface by ancient tectonic plates.
Researchers used computer models and field data to accurately depict current flow conditions in Greenland's topographically complex ice sheet. The study aims to improve knowledge of subglacial topography and predict potential effects on sea levels from a melting ice sheet.
Researchers developed a computer model called Bayesian program learning framework (BPL) that captures humans' unique ability to learn new concepts from a single example. The BPL model achieved human-level performance on challenging concept learning tasks, outperforming recent deep learning approaches.
A University of Maryland study suggests that higher levels of societal mobility lead to decreased ethnocentric behavior. In mobile societies, individuals are more likely to treat others as individuals rather than groups, resulting in less hostility towards other cultures.
A new model, POISED, aims to balance technology use with human connection. Key findings include: Using computers in exams can compromise patient safety and relationships if not implemented correctly.
A computer model developed by University of Hawaii researchers can accurately forecast the movement of vog around the state, posing a serious threat to health and ecosystems. The model uses sulfur dioxide emissions and wind predictions to provide near-real-time forecasts.
The National Infrastructure Simulation and Analysis Center has tapped Pacific Northwest National Laboratory (PNNL) to support its program. PNNL will contribute advanced computer modeling and simulation capabilities to analyze vulnerabilities in critical infrastructure sectors such as dams, water, transportation, energy, and information...
A computer model developed by Johns Hopkins predicts that strengthening HIV care, including retention in care and increased testing, can avert 752,000 new infections and 276,000 AIDS deaths over 20 years. Enhanced interventions could reduce incidence by 54% and mortality by 64% at a cost-effectiveness ratio of $45,300 per QALY.
Researchers at UT Arlington are developing a hybrid software/hardware approach to create highly accurate models of electric motors. The new method aims to reduce the time and expense of modeling prototypes by speeding up model simulations by as much as 1 million times, making it easier to create more efficient motors.
Researchers are developing the world's first computer models capable of testing membrane coatings and designs without physical prototypes. This innovation could significantly reduce costs associated with water treatment and increase access to safe drinking water worldwide.
A new method developed by McGill University professor Shaun Lovejoy could significantly improve atmospheric forecasting accuracy, particularly over long periods. By leveraging the atmosphere's long-term memory, Lovejoy's approach shows promise in explaining the 'pause' in global warming since 1998.
A study by Georgia State researchers has found that protected areas in Brazil, Costa Rica, and others can prevent carbon dioxide release worth $5 billion. The research integrates modeling and empirical measures to improve conservation planning by studying policy impacts on ecosystem services.
A University of Huddersfield professor has been granted a Newton Research Collaboration Award to develop a Dynamic Behaviour Model (DBM) that accurately predicts the energy usage of non-domestic buildings. The model will take into account various factors, including occupancy level and equipment use, to make a more realistic prediction.
Researchers at the University of Huddersfield are working on a £6.5 million project to develop new switch designs that can withstand heavy loads and reduce wear and tear. The goal is to make drastic reductions in track maintenance costs and improve the overall efficiency of rail networks.
Boosting crop yields through high-performance computing, genetic engineering, and modifying plant anatomy may be the solution to increasing global food demand by 2050.
Researchers at NYU have devised a computer model that explains how the brain classifies visual stimuli into distinct categories. The model, published in Nature Communications, reveals that top-down feedback projections from category-selective neurons to feature-coding neurons are essential for learning correct category boundaries.
NASA's Terra satellite and GPM/TRMM satellites provide valuable data on Super Typhoon Hagupit's rainfall patterns and cloud height. Forecasters expect the storm to reach peak intensity and weaken, while warnings are issued for the Philippines due to typhoon-force winds.
Researchers at MIT have developed a new computer model that allows them to design the most complex three-dimensional DNA shapes ever produced. The model enables nanometer-scale precision and can be used to create DNA scaffolds for anchoring proteins, chromophores, and nanoparticles.
A new ultra-high-resolution NASA computer model provides a stunning visual portrait of how carbon dioxide travels around the globe. The simulation, called GEOS-5, illustrates regional variations in carbon dioxide levels and differences between northern and southern hemispheres.
A team from Los Alamos National Laboratory successfully monitored and forecasted influenza, dengue fever, and tuberculosis outbreaks worldwide. The study demonstrates the potential of using public health data to build an operational disease monitoring system.
Tropical Storm Nuri resembled a frontal system, stretching from northeast to southwest due to wind shear. NASA's Terra satellite captured an infrared image showing strong thunderstorms around its center.
Researchers found that changing ice sheet height affects global climate differently from freshwater influx alone, with warming sea surfaces and regional changes observed. The study suggests that the role of topography in Heinrich events may be more significant than previously thought.
NASA's TRMM satellite detected an isolated area of heavy rain remaining in Tropical Storm Karina, indicating a weakening uplift in the storm. The storm is forecast to turn westward and slow down soon, with two computer models predicting it will weaken to a tropical depression in about 72 hours.
Researchers found that flocking starlings aim to maintain an optimum density to gather data on surroundings, creating a dynamic pattern of light and dark. This pattern is crucial for individual birds within the flock to gather vital information.
A new study by McGill University professor Shaun Lovejoy uses statistical analysis to determine the probability that global warming since 1880 is due to natural variability. The study concludes that the natural-warming hypothesis can be ruled out with confidence levels greater than 99%, and most likely greater than 99.9%.
A novel approach to managing model structural uncertainty is introduced, which can help prioritize improvements for better decision-making. The method analyzes internal discrepancies within the model and expresses beliefs about error sizes, providing an indication of relative importance.
Researchers created 'habitat corridors' in South Carolina to test how wind moves seeds. They found that corridors increase seed movement and promote plant diversity when aligned with prevailing winds. The study has implications for conservation efforts in Midwestern ecosystems.
Researchers developed a lightweight detection system using the hidden semi-Markov model to identify malware-infected computers. The approach can model normal behavior and highlight deviations caused by malware, making it easier to detect botnets in real-time.
The Penn State-led team aims to improve existing hydrological predictions and study the coupling of water with its environment. The goal is to create a strategic tool to assist in decision-making for extreme weather events.
IRIS has captured detailed images of the interface region between the sun's surface and corona, revealing more violent and turbulent phenomena than previously understood. The mission's observations also provide new insights into solar eruptive events and the dynamics of the low solar atmosphere.
Researchers at TUM developed a computer model of acoustic coding in the inner ear and neuronal information processing by the brain stem, allowing for improved coding strategies and faster testing of new devices. This advancement has the potential to significantly reduce development cycles and provide better hearing outcomes for patients.
A computer model developed by a University of California, Riverside sociologist and Indio police has predicted burglaries by census block group, leading to an 8% decline in thefts. The model uses crime data and truancy records to anticipate hot spots of crime, enabling targeted prevention activities.
Researchers discovered how jellyfish move with lowest cost of transport, using a critical pause between contraction and expansion to create a vortex that propels them forward. This feat allows the creature to travel 30% farther each stroke cycle, reducing metabolic energy demand by swimming muscles.
Researchers at Scripps Research Institute have developed a new method, called Extensive Combinatorial Refinement (ExCoR), that combines existing formulas to create more accurate computer models of molecules. This process can help identify the best algorithms for refining structural details and improve the development of drug candidates.
Researchers at Rensselaer Polytechnic Institute have created a computational model that accurately simulates the complex twists of RNA as it folds into a critical hairpin structure. The new model can simulate the folding of three known versions of a tetraloop, accurate to within one ten-billionth of a meter.