Articles tagged with Adaptive Systems
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 propose a 'state space' approach to reframe farming planning questions, enabling analytics and machine learning to explore optimal crop combinations and simulate different scenarios. This framework allows farmers to design diverse agricultural landscapes based on natural ecosystems, increasing crop yield and sustainability.
Researchers develop unsupervised machine learning algorithm to classify osteosarcoma at diagnosis based on gene expression modules. This approach enables personalized treatment strategies for osteosarcoma patients.
Researchers seek to develop algorithms providing meaningful explanations for AI decision-making, enabling higher human trust and adoption in fields like science. The project focuses on symbolic reasoning and estimating explanation accuracy, addressing the need for transparent AI systems.
The NERVE Center has developed test methods and metrics for various robots, identifying limitations to improve systems. The center's success grew its research capabilities through partnerships with NIST and the U.S. Army.
Researchers develop CRISPR-Cas systems associated with transposons to rewrite large chunks of DNA in organisms like E. coli. This expands the CRISPR toolbox for flexible genome editing and has significant implications for therapeutics, biotechnology, and agriculture.
Researchers at North Carolina State University developed a CRISPR-based system that uses engineered bacteriophages to deliver genetic payloads to specific bacteria, even in complex environments. This technology enables precise single-letter changes to the genome without double-strand DNA breakage.
Two billion people globally rely on mountain water for drinking and irrigation, which is under threat due to global heating. Researchers propose integrated water strategies that include scientists working directly with communities to drive climate adaptation and boost water security.
Researchers propose a broader definition of learning that includes behavioral adaptation to environmental features, enabling collaboration across fields and promoting new research. This 'mechanism-free' approach highlights the importance of system-level responses to environment in various domains.
The University of California, San Diego is part of the National Institutes of Health's Bridge to Artificial Intelligence program, aiming to create comprehensive AI-ready datasets. The program will support researchers in developing interpretable and trustworthy AI technologies to improve human health.
A new University of Illinois project aims to improve undergraduate students' ability to estimate their knowledge using artificial intelligence methods. The researchers will utilize machine learning to anticipate student performance and provide personalized feedback to enhance studying strategies.
A new study introduces a novel epigenetic predictor, PCBrainAge, that captures aging heterogeneity across multiple brain regions. The tool demonstrates stronger associations with AD dementia and pathologic AD compared to existing age predictors.
NC State researchers discovered a new way to make the difficult-to-characterize gut bacterium Bifidobacterium more responsive to antibiotics. They also found tiny changes in different strains that reflect large differences in their characteristics, highlighting the need for individualized CRISPR-based genome engineering approaches.
A team of researchers led by Danilo Vasconcellos Vargas has developed a new method called 'Raw Zero-Shot' to evaluate the robustness of artificial neural networks in image recognition. The study found that Capsule Networks produced the densest clusters, indicating improved transferability and potential solutions for improving AI robust...
Homa Alemzadeh's research aims to develop safety monitoring tools for robotic surgery, enabling better training for surgeons and increasing the availability of less-invasive procedures. Her work has the potential to improve patient outcomes in underserved rural communities.
Researchers conducted wave-optics simulations to study the impact of turbulence on light beams, finding that branch point density grows non-linearly with grid resolution. The study's results could lead to more accurate modeling and improved performance in Adaptive Optics systems.
Researchers aim to develop an audio health library to enhance communication during triadic visits. The study will analyze primary care visits and conduct user-design sessions to refine the system.
Researchers developed a machine learning model that provides good predictions for human speech recognition in noisy environments, benefiting hearing-impaired listeners. The model outperformed expectations and showed strong correlations with measured data.
A team of scientists developed a soft haptic sensor that can accurately estimate contact points and forces using computer vision and deep neural networks. The sensor is sensitive enough to detect even tiny forces and detailed object shapes.
A team of scientists developed an AI-based model to predict personal thermal comfort based on spatial parameters, achieving exceptional accuracy. The study highlights the importance of incorporating architectural features in models to reduce energy consumption.
Astronomers have captured detailed images of sinuous stellar jets emanating from young stars, suggesting that their sidewinding appearances are caused by gravitational attraction from companion stars. The observations were made using the Gemini South telescope's adaptive optics system.
A new machine learning-based approach enhances student engagement in online environments. The algorithm detects when students disengage, prompting interventions to improve learning outcomes.
A new study improves AI diagnoses by penalizing algorithms for false negatives, which can be more urgent than accuracy. Researchers achieved significant improvements in precision and recall for chronic kidney disease and other conditions using cost sensitivity techniques.
Researchers used machine learning to analyze core-loss spectroscopy data, revealing connections between spectral data and material properties. The study successfully predicted intensive and extensive material properties, enabling high-throughput development of new materials.
Researchers from South Ural State University created a hybrid intelligence system that can predict pile bearing capacity with high accuracy. The system, developed by combining adaptive neuro-fuzzy inference system and group method of data handling, outperformed traditional methods and provided close to measured values.
A new warning system has been proposed to address increasing heat waves due to climate change, taking into account evolving heat thresholds and longer hot seasons. The system aims to prevent heat-related mortality outside typical heat wave periods through health alerts.
George Mason University's Lance Liotta has received a grant of $72,000 to study the adaptation mechanisms of cellular protein networks. The Australian Research Council Future Fellowship will provide an additional $784,680 over two years.
Researchers at the University of Bristol have developed a spatially adaptive broadcast system that enables broadcasters to adapt their geographical coverage in real-time, reducing energy consumption by up to 35%. This technology has the potential to improve the energy efficiency of wireless and broadcast networks.
A video analysis study by Christopher P. Bonafide and colleagues investigated factors influencing nurse response times to bedside monitor alarms. The research found that nurse experience, alarm type, and hospital environment all played significant roles in shaping response times.
The global population has more than doubled since 1960, with over 20% of people aged 60+ in developed countries by 2030. Healthcare systems must adapt to cope with the impact of ageing populations, including reducing hospital beds and reallocating budgets.
The Big Bear Solar Observatory has achieved 'first light' using a deformable mirror, resulting in the most detailed visible light image of a sunspot ever captured. This achievement marks a significant milestone for the observatory's adaptive optics system, which will enable better studies of solar complex phenomena and space weather.
Researchers discovered that capsaicin, found in chili peppers, triggers a desensitization process in pain receptors, allowing them to adapt to painful stimuli. This adaptive response enables the receptor to continuously respond to varying stimuli, leading to a shift in responsiveness threshold.
The new AO76 system, developed by the National Optical Astronomy Observatory in New Mexico, produces sharper images under worse seeing conditions than the previous AO24 system. This allows existing solar telescopes to produce higher resolution images and greatly improve their scientific output.
Adaptive optics systems are expanding ground-based astronomy capabilities, enabling unprecedented views of the universe. The technology has already produced eightfold improvements in image quality at observatories like the W.M. Keck Observatory in Hawaii.