Articles tagged with Learning Processes
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.
A study by the University of Geneva finds that adopting multiple perspectives on mathematical problems enhances proportional reasoning. Students who received lessons based on this approach outperformed those in traditional classes, regardless of socio-economic background.
A new AI tool helps governments decide whether to bail out a bank by predicting if the intervention will save money for taxpayers. The algorithm assesses financial implications and suggests optimal bailout strategies.
Children's brains exhibit rapid GABA boosts during learning sessions, allowing for efficient consolidation of new information. Adults' brains, on the other hand, struggle to stabilize learned knowledge due to reduced GABA levels, leading to slower learning rates.
A new MIT study found that children from lower socioeconomic backgrounds have distinct brain patterns linked to reading difficulties, differing from those of higher-SES students. The research suggests that tailored interventions may be necessary for different groups of children.
A study published in Current Biology found that children exhibit rapid boosts of GABA during visual training, stabilizing new learning and making it more efficient. This discovery suggests that children may acquire new knowledge and skills faster than adults, with implications for teaching and learning strategies.
A study published in The EMBO Journal reveals that the anterior cingulate cortex is activated in female mice acquiring maternal behavior through repeated experience with pups. This discovery provides a potential basis for developing therapeutic options for postpartum depression and other conditions disrupting mother-child bonding.
A University of Otago-led study examines male and female travellers’ subjective travel experiences and identifies nine types of tourist transformation. The research reveals significant differences in reflection and self-efficacy outcomes between men and women, while other transformations are experienced similarly.
CU Anschutz researchers found changes in myelination during learning, altering neuronal communication speed. These changes could lead to better treatment for neurological injuries and disorders like multiple sclerosis.
Researchers at WVU are developing software for robots to learn and adapt in real-time, inspired by the neural networks of electric fish. The goal is to enable robots to navigate different terrains autonomously without human supervision.
A new theory by UMass Amherst sleep scientist Rebecca Spencer suggests that young children's brain development, not age, determines when and why they stop napping. The hippocampus, a memory area of the brain, plays a critical role in nap transitions.
Researchers found that reactivating memories during sleep improves memory storage by triggering electrical activity in the brain. The study, led by Northwestern University, used implanted electrodes to record brain activity in five patients while they slept and presented sounds associated with learned objects.
A team of WVU researchers is studying how people bounce back after disastrous flooding, using lessons learned from the 2016 West Virginia flood. The project aims to create a more effective framework for flood response and community recovery in West Virginia, with a focus on identifying gaps in organizational capacity and improving floo...
Researchers found that people who use combination of spacing and retrieval practice retain information for longer periods of time. These techniques involve recalling previously learned material through flashcards, practice tests or open-ended writing prompts to recognize what they do and don't know.
Researchers at Trinity College Dublin discovered that quantum computation may be used by the human brain, correlating with short-term memory performance and conscious awareness. This finding could enhance our understanding of brain functions and potentially lead to innovative technologies.
Researchers found that literacy has no effect on auditory processing of speech, contradicting previous studies. However, literate individuals showed improved functional connectivity between brain areas responsible for handwriting and speech sound processing.
Research shows that children learning to navigate complex social situations are often given mixed messages about honesty and dishonesty by their adult caregivers. The study found that adults judge blunt truth-tellers more harshly when they lie to be polite, but reward subtle truths that protect others.
A recent MU study found that COVID-19 significantly impacted the academic experiences of African international students, with travel limitations, restricted employment opportunities, and family concerns making it difficult to focus on studies. The findings highlight the need for tailored support from universities during times of crisis.
Researchers successfully taught human and mouse neurons to play the video game Pong in real-time, showcasing their ability to exhibit sentience and adapt to a changing environment. The study's findings have potential applications in disease modeling, drug discoveries, and expanding our understanding of brain function.
The European Patent Office is funding a project to create an AI-powered system that detects students' potential problems at an early stage, providing personalized feedback and recommendations. The system aims to engage students with course materials and offer a chatbot for more accessible support.
Researchers collaborated with livestock producers, natural resource managers, and university-based researchers to develop effective fencing designs that reduce wildlife conflicts and prioritize human safety. The study highlights the importance of integrating diverse knowledge and experience to inform fencing projects.
Researchers at Tokyo Institute of Technology have developed a novel method for detecting protein phosphorylation using phosphate's electrical signature. The technique boasts 95% accuracy and 91% specificity, offering new avenues for clinical diagnosis and pharmaceutical applications.
Neuronal silencing periods enable efficient temporal sequence identification, allowing the brain to remember phone numbers and PINs. A new AI mechanism utilizing this mechanism also protects against stolen cards by recognizing personal handwriting style and timing.
Researchers at Ohio State University have developed a new machine learning method called next-generation reservoir computing that can learn spatiotemporal chaotic systems in a fraction of the time. The algorithm is more accurate and uses less training data, making it easier to predict complex physical processes like Earth's weather.
The use of voice control smart devices in children may impede critical thinking, empathy, and compassion. Devices can't teach children how to behave politely and lack non-verbal communication skills.
A new study by Human Brain Project researchers unravels the mechanisms of psychostimulants like methylphenidate on attention and learning. The findings suggest that dopamine enhances task-relevant cortical signals, explaining variability in drug's cognitive effects across individuals.
A study by neuroscientists at New York University reveals that the brain's machinery interacts in nuanced ways to form long-term memories. The researchers found that neurons can sense not only repetition but also the order of repeated experiences, allowing them to discriminate between different patterns and build memories.
A new study found that children's attention wandered to all parts of a screen while completing a task, but this helped them notice important things when the task unexpectedly changed. Adults, on the other hand, quickly focused their attention on one feature and missed important clues.
Researchers developed an AI tool using natural language processing and machine learning to identify people who inject drugs in electronic health records. The model accurately identified PWIDs in 1,000 records from 2003-2014, significantly improving clinical decision making and resource allocation.
A new neurocomputational model introduces a three-level information processing framework to understand brain development and cognition. The model focuses on Hebbian learning and reinforcement learning, highlighting two fundamental mechanisms for multilevel cognitive ability development in biological neural networks.
Researchers found that infants differentiate sounds based on neighboring sounds and vowel durations. Their study suggests that babies can learn the speech contrasts of their language through naturalistic speech data.
A York University study found that deep convolutional neural networks (DCNNs) fail to capture the configural nature of human shape perception, which could be dangerous in traffic video safety systems. The researchers discovered that while humans use configural shape perception, DCNNs take 'shortcuts' and are insensitive to this aspect.
A University of Ottawa research team has made new discoveries on how motor skills are learned and stored in the brain. By studying mice, they found that a specific transcription factor called NPAS4 regulates gene changes in inhibitory neurons, leading to the formation of learning-associated neuron ensembles.
Researchers discovered an electric signal in the hippocampus triggered by novelty, inducing a transition from memory to learning states. The signal may work as a switch to enable the brain to balance forming new memories and recalling familiar ones.
Researchers at the University of Pittsburgh have identified a universal mechanism for lysosomal repair, known as the PITT pathway, which helps maintain cellular longevity. The study reveals that damaged lysosomes are quickly repaired through the PITT pathway, but defects in this process can contribute to age-related diseases such as Al...
A recent ECU study discovered that tRNS can enhance neuroplasticity, allowing the brain to form new pathways and connections. This technology has shown promise as a tool to assist individuals with learning difficulties or neurological conditions.
Research suggests that super recognizers divide new faces into parts, storing them in the brain as composite images. This allows them to recognize faces better than others even when only seeing smaller regions at a time.
Researchers from Singapore University of Technology and Design (SUTD) have developed a new Brain-Inspired Replay model that enables continual learning in edge computing systems without storing data. This approach achieves state-of-the-art accuracy and high energy efficiency, overcoming the stability-plasticity issue in traditional models.
A new study from the University of East Anglia found that brain regions responding to touch also respond to specific sounds associated with touching objects. This connection may help process sensory information more efficiently and has implications for mental health conditions such as schizophrenia, autism, or anxiety.
Researchers at Ruhr-University Bochum found that online teaching triggers a lower physiological response, including reduced cortisol levels, decreased sympathetic activity, and increased parasympathetic activity. In contrast, in-person classes led to increased sympathetic nervous system activity and enjoyment.
A team of researchers from the University of Tokyo developed a system called DualCheck, which replaces traditional human verification tasks with educational content on online safety and ethics. Trials showed that users responded positively to the experience and felt they gained something from these microlearning sessions.
Researchers propose a new learning method for individuals with autism, utilizing 'memory flashes' to accelerate learning and improve visual perception capabilities. The study showed significant improvement in both learning speed and generalization of skills, even under new conditions.
A new study from the University of South Australia identifies five key approaches for parents and caregivers to discuss everyday pain with young children. Teaching children that they can control their pain and empowering them to actively engage in pain management can promote lifelong helpful pain behaviors and encourage recovery. By he...
MIT researchers have developed a new type of programmable resistor that enables analog deep learning, which promises faster computation with reduced energy usage. The device can process complex AI tasks like image recognition and natural language processing, paving the way for integration into commercial computing hardware.
The study reveals that top-down information from the higher-order motor cortex to the primary motor cortex is crucial for motor learning, while newly formed synapses in the thalamus store acquired motor memories. This challenge to the widely held view suggests a two-step process for motor skill learning.
The new AI system uses associative learning to detect similarities in datasets, reducing processing time and computational cost. By leveraging optical parallel processing and light signals, the system can identify patterns and associations more efficiently than conventional machine learning algorithms.
A study by Max Planck Institute for Human Development found that children use spontaneous strategy changes and broader attentional focus to achieve better results, similar to adults. This broadens the understanding of learning behavior in children.
A three-year study found that librarian-teacher co-teaching significantly facilitates learner-centered instruction, such as maker learning and inquiry learning, across all levels of schools. School librarians played a crucial role in making these individualized learning opportunities possible by using various instructional methods.
Researchers from North Carolina State University have developed a new approach to federated learning that allows them to develop accurate AI models more quickly and accurately. By reformating updates sent to the centralized server, they can resolve the heterogeneity problem in data, improving model performance.
A UTSA professor will use a five-year $550,000 grant to study natural language processing and develop NLP models tailored to specific population groups. The goal is to improve the accuracy and relevance of these models in everyday applications.
Researchers developed a neural network algorithm that recognizes emotions and engagement from video images of faces, outperforming existing models in accuracy. The system can be integrated into video conferencing tools and online learning systems to analyze participant engagement and emotions.
A new study by University of Missouri found that Black nursing home residents and those under 65 are significantly more likely to experience repeat hospital transfers. This phenomenon can be attributed to various factors including 'full-code' status regarding end-of-life care, comorbidities, and inadequate staffing. The study suggests ...
A recent study has identified an important molecular analogy between the octopus brain and the human brain, specifically with LINE transposons active in both species. This discovery sheds light on the secret of the intelligence of these fascinating organisms, suggesting a convergent evolution of cognitive abilities.
Researchers at the University of Rochester have discovered a novel neural mechanism involved in causal inference that helps the brain detect object motion during self-motion. This discovery may have applications in designing artificial intelligence devices and developing treatments for brain disorders such as autism and schizophrenia.
A team at Portland State University is creating comics to share research findings on transportation and land development. The project aims to bridge the gap between academic research and the general public, addressing barriers such as complex language and storytelling, while showcasing the potential of visual rhetoric.
A new study by the University of Copenhagen found that children who move while learning sounds of letters significantly improve their ability to recognize individual letter sounds. This embodied learning approach can help give beginner readers a good start and may lead to better reading skills in the long run.
A new study suggests that current NHS complaint-handling policies focus too much on validity and not enough on learning from concerns raised. The researchers recommend clarifying roles, reviewing data collection systems, and involving patients in investigations to improve the system.
A study by Ohio State University researchers found that people learn from incidental exposure to new objects, making them ready to learn. Participants who were exposed to unfamiliar creatures earlier on learned the differences between them more quickly during explicit learning than those who received no prior exposure.
Researchers at Simon Fraser University found that experiencing a balance-threatening physical consequence enhances motor learning and improves movement patterns for safer movement. This innovative approach could lead to effective therapies for individuals with neurological impairment.
Researchers at Sainsbury Wellcome Centre found that mice can choose the best escape route after only 10 minutes of exploration, without needing to experience threat. The study suggests that mice use innate heuristics and natural exploration to learn this information.
Research published in eNeuro found that physical consequences, such as slipping, can improve motor learning by refining movement responses to mistakes. Participants who experienced a slip improved their ability to adjust steps to new situations, demonstrating better generalization of learned skills.