Articles tagged with Biological Models
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.
Scientists developed computational eye models to help patients and surgeons select ideal intraocular lenses and predict visual outcomes. The technology uses anatomical information of the patient's eye to provide guidance on expected optical quality post-operatively.
Associate Professor Tadashi Ando from Tokyo University of Science conducted a study to test the performance of OPC and OPC3 water models, evaluating their shear viscosities and comparing values to experimental calculations. The calculated viscosities for both models were very close, with notable accuracy at temperatures above 310 K.
The UMass Amherst-UT Austin team has been awarded $27.5 million by the CDC to establish the nation's first disease outbreak response and modeling network. The $250 million program will support decision makers during public health emergencies like COVID-19.
The CDC has awarded a coalition led by UC San Diego researchers $17.5 million to develop innovative tools and networks for rapid response to emerging disease outbreaks. The project aims to integrate forecasting and analytic approaches with data to inform public health decisions.
By 2070, 44.61% of koala habitats in Australia will be highly susceptible to bushfires, up from 39.56% today. Koalas may struggle to survive due to habitat fragmentation and food source vulnerability.
The collaboration has garnered $5.68 million of grant support, with a five-year $2.13 million National Institutes of Health R01 grant and a five-year $2.89 million NIH R01 grant. Researchers are using computational biology to model a key Alzheimer's protein called TREM2 and its interactions with small chemical molecules.
Researchers analyzed data from the Global Biodiversity Information Facility and found a universal pattern of species abundance distributions, with most species being rare but not extremely rare. The study's findings may help answer Darwin's question about why some species are common while others are rare.
A team of researchers at the University of Waterloo and Dalhousie University have developed a method for forecasting short-term disease progression using limited data. The Sparsity and Delay Embedding-based Forecasting model, or SPADE4, uses machine learning to predict epidemic progressions with high accuracy.
A new study by the University of Oldenburg team confirms that radio waves in the VHF range above 116MHz have no impact on migratory birds' magnetic compass sense. This discovery debunks previous theories suggesting mobile communication networks affect the birds' navigation.
A new study found that voluntary collective isolation alone was ineffective in preventing the spread of COVID-19 among the Amazonian Tsimané. The researchers used a computer model and serological testing to confirm their predictions, showing nearly identical infection rates across communities.
Researchers at City of Hope have identified new molecular targets on a cell receptor that play a major role in cardiovascular regulation. The findings could lead to improved drugs for heart disease, an unfortunate side effect of some cancer therapies.
Researchers from Osaka University have shed light on how certain proteins contribute to the formation of piRNAs, a type of RNA that protects the genome. Tejas plays a key role in recruiting Vas and Spn-E, facilitating nuage formation and piRNA processing.
Researchers found that clinical strains of Aspergillus fumigatus differ significantly from environmental strains in amino acid synthesis. The fungus appears to shape the lung microbiome to its advantage, surviving on vital metabolites produced by other microorganisms.
A team of scientists has successfully elucidated the structure and function of LITE-1, a biomolecule used by Caenorhabditis elegans to detect danger. The researchers used artificial intelligence to predict the structure of LITE-1, which is a channel protein that forms a pore in the cell membrane allowing charged particles to pass through.
Researchers have identified KIAA0930 as a key factor causing muscle atrophy in cancer cells, which could lead to the development of new anti-cachexia therapies. The study found that KIAA0930 knockdown cells showed increased muscle mass and weight compared to control cells.
GOBI overcomes model-free and model-based inference method limitations by introducing an easily testable condition for a general monotonic ODE model to reproduce time-series data. It successfully infers positive and negative regulations in various networks, distinguishing between direct and indirect causation.
A study by Kyoto University found that Daphnia's phenotypic plasticity is strongly related to its body size and the type of predator. Medium-sized Daphnia are more vulnerable to predation by both Chaoborus larvae and fish, which prefer larger prey.
A recent study led by McGill University estimates that the European Union will face significant economic losses due to biological invasions, with costs projected to reach over €142.73 billion by 2040. The study highlights the need for effective management and collaboration to address this threat.
The Save Our Seas Foundation's World of Sharks website now features interactive 3D models of white sharks and manta rays, enabling users to explore shark physiology and evolution in an engaging way. The 3D models are open-access and free to view and download for non-profit use.
A team of researchers from Kyoto University and international institutions has developed a mathematical solution to the temporal asymmetry of nonequilibrium disordered Ising networks. This breakthrough offers insights into the behavior of biological systems, machine learning, and AI tools.
Researchers have developed a new technique to generically treat several kinds of cancer, showing tumors grew almost three times less and survival rates reached 100% after just one injection. The method targets cancer cells with alpha radiation, sparing healthy tissue.
Researchers, led by Elizabeth King, aim to develop a knowledge base on complex genetic traits using fruit fly models. The project seeks to address the scientific knowledge gap in this field by focusing on interconnectedness among multiple factors.
Biomedical engineers at UTS have developed an intervertebral disc-on-a-chip, a precision-engineered toolbox for low back pain studies. The device simulates the complex mechanobiology of native tissue, enabling accurate evaluation of experimental methods for treatment or regeneration.
Researchers designed and tested textile fibers that can change shape and generate force like a muscle, showing promise for use as cell scaffolds. The findings suggest the fibers could be used to develop 3D models of living, moving systems in the human body.
Porphyrinic metal-organic frameworks (PMOFs) have been synthesized using various methods, including solvothermal synthesis. The native biocompatible properties of porphyrins endow PMOFs with great potential in biological applications. Several possible frameworks can be formed with a large scale of metal ions.
A new model for disease transmission takes into account the effects of social dynamics and social norms on behaviors such as mask-wearing. The study found that small changes in certain factors can lead to large changes in disease spread rates, creating distinct infection waves. Social conformity creates a 'stickiness' where individuals...
Researchers have developed a new method called EvoAug that uses artificial DNA sequences inspired by evolution to train deep neural networks for genome analysis. This approach enables the model to recognize regulatory motifs more accurately, leading to better performance and potential breakthroughs in understanding human health.
Researchers developed machine-learning algorithms to generate proteins with specific structural features, enabling the creation of biologically inspired materials. The models can produce millions of new protein ideas in a few days, allowing scientists to explore unique applications.
A new computational model suggests that reducing hormone doses in contraceptives could effectively suppress ovulation. The model found that hormone doses could be lowered by up to 92% in estrogen-only contraceptives and 43% in progesterone-only contraceptives, while still preventing ovulation.
A team of researchers at Eötvös Loránd University developed a general formula to calculate honest equilibrium in any model, independent of signal costs. Their results reveal that honesty does not require signal costs to be paid in equilibrium, and that the cost is borne by cheaters, not honest individuals.
Researchers found that fish in large schools are more willing to take risks and tune down their sensitivity to social cues, reducing the likelihood of responding to false alarms. This dynamic adjustment allows individuals to maintain control over their behavior, suggesting a potential evolutionary advantage in coping with misinformation.
Researchers from Japan create a new model for estimating transepidermal water loss, providing a more realistic picture of skin water loss. The new method uses confocal laser microscopy and Raman spectroscopy to measure stratum corneum thickness and water content.
ISB researchers constructed a biological body mass index that offers a more accurate representation of metabolic health. The team found that even with no weight loss, individuals can be getting healthier biologically through positive lifestyle changes.
Researchers used demographic modeling to reconstruct wheat's evolutionary history during the Holocene, revealing its origins near the Caspian Sea and slow speciation process. The study also found that crop relatives are valuable for breeding resilient crops but face decline due to changes in human diets and climate change.
A multidisciplinary team developed a physiologically accurate model of octopus arm muscles, providing insight into biological and design challenges. The model enables energy-shaping control, simplifying arm control design and enabling life-like motion in soft robots.
The new Cell Atlas updates reveal that 20% of all neurons in the mouse brain are inhibitory, with detailed information on morphological and electrophysiological properties. The atlas combines various datasets to create a coherent framework for simulating neural circuits.
The São Paulo School of Advanced Science on Cryogenic Electron Microscopy will be held at the University of São Paulo from July 10-27, 2023. The event will cover theoretical and practical foundations of advanced CryoEM techniques, featuring renowned researchers and hands-on practical sessions.
A new study finds that salp blooms can offset as much CO2 as emitted by millions of cars, with some estimates suggesting up to 28,000 vehicles. Salps' unique features and rapid reproduction lead to large amounts of carbon being exported to the deep sea.
A new mathematical model simulates how the body regulates potassium levels, shedding light on the relationship between kidneys and muscles. The study suggests that muscle-kidney cross-talk signal hypothesis is essential in maintaining healthy potassium homeostasis.
A team of researchers from FSU and Cleveland State University have developed a mathematical model that explains how bacteria communicate within larger ecosystems. The model can predict environmental responses from bacterial communities and is flexible for different applications.
Researchers at Aston University have created the world's first computer reconstruction of a virus, including its complete native genome. This breakthrough could lead to the development of targeted treatments to kill bacteria that are dangerous to humans, reducing the threat of antibiotic resistance.
A team of researchers from Xi'an Jiaotong-Liverpool University and other institutions has identified a flexible and user-friendly model for predicting flood frequency in a changing environment. The fractional polynomial-based regression method is more effective than existing models, which often fail to account for factors like climate ...
Researchers discovered that enterococci, a type of antibiotic-resistant bacteria, can make C. difficile more potent and dangerous by producing amino acids. This understanding could help doctors identify patients at risk and develop new treatments for the deadly infection.
G-Quadruplex DNA structures play a crucial role in regulating genes and cell processes, but their visualization is challenging due to the dynamic nature of double standard DNA. Fluorescence-active small molecule probes have emerged as a real-time visualization method, enabling researchers to detect G-quadruplexes with high selectivity.
A research team used photogrammetry to build 3D models of flowers from two-dimensional images, gaining new insights into the shape and color of flowers. The technique allows for detailed study of flowers' morphology and colors, which act like magnets to attract pollinators.
Researchers modeled how genetic changes affecting protein synthesis speed can lead to misfolding and altered activity levels in proteins. This finding suggests the importance of kinetics alongside sequence for determining protein structure and function, with potential implications for fields such as biopharmaceutics and medicine.
Researchers developed an algorithm using amino acid sequences of proteins called T cell receptors to predict patient response to treatment, providing insights into the biology behind an effective response. The algorithm, DeepTCR, identified patterns that are predictive of patient response as accurately as known biomarkers.
Researchers at Michigan Medicine found a strong association between lower grip strength and accelerated biological aging in middle-aged and older adults. This study provides evidence that maintaining muscle strength across the lifespan may help protect against age-related diseases.
The study reveals that a genetic mutation can accelerate the body's internal clock, leading to improved adjustment to shift work schedules. The findings have implications for understanding the health consequences of circadian misalignment and developing medical treatments.
A new study published in GigaScience has made available an enormous amount of behavioral data from an animal model of obsessive-compulsive disorder (OCD), comprising over 2 years of continuous recording. The data set, which is the culmination of a 15-year study, provides insights into the mechanisms of OCD and potential treatments.
A new genome imaging technique captures the structure of the human genome at unprecedented resolution, revealing how individual genes fold and work. This technique, called Modeling immuno-OligoSTORM (MiOS), combines high-resolution microscopy and advanced computational modeling to provide a detailed picture of gene shape and function.
Mathematicians at Aston University are developing computational modelling techniques to examine biological drag reduction methods, such as fish slime secreted by predator-avoiding fish. This project aims to reduce skin-friction drag and increase the performance range of electric vehicles, contributing to a reduction in CO2 emissions.
A new study by OIST researchers has developed a model that determines variations in the speed of DNA copying proteins in bacterial genomes. The model shows that certain sections of DNA are copied faster than others, and this variation is linked to an increased error rate, which could have implications for mutation rates.
Researchers developed a machine learning algorithm that can generate a continuous 3D model of cells from a partial set of 2D images. The neural field network learns a mapping from spatial coordinates to physical quantities, allowing for smooth zooming and no pixelation.
A University of Missouri researcher and his team are using artificial intelligence to study anatomical research, creating detailed 3D computer models of muscles. This technology is advancing the field by enabling researchers to analyze muscle fiber orientation and develop a better understanding of motor control in animals.
A new study from MIT reveals that computer models predicting molecular interactions, like AlphaFold, need improvement to help identify drug mechanisms of action. Researchers improved the performance of these models using machine-learning techniques, but more work is needed.
A new study from North Carolina State University shows that soil temperature can be used to predict the spread of the corn earworm, an important pest affecting various crop species. The research reveals three geographic zones where the pest can overwinter, and models suggest that these zones will shift northward due to climate change.
Scientists modeled how different coronavirus shapes affect rotational diffusivity, impacting transmission and infective success. The study found that more elongated shapes result in slower rotation rates, potentially improving attachment to cells.
Researchers develop a new coarse-graining approach that enables the prediction of patterns on small scales, reducing complexity by focusing on total densities of particles. The model is applied to the Min protein system, which controls cell division in bacteria, and experimental results confirm theoretical predictions.
A research team used game theory to analyze cooperation in networks and found that networks with a high level of cooperation can emerge if individuals take a clear-cut position against free riders. The study also showed that if contributors leave an environment too quickly, it leads to a lower level of cooperation.