Articles tagged with Sensors
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.
UCF researchers have developed a unique 'barcode' technique to quickly identify chiral molecules based on their infrared fingerprints. This technology has the potential to speed up pharmaceutical and medical advancements by identifying enantiomers, which can have different effects in the body or chemical reactions.
Researchers developed a soft robotic finger that can perform routine doctor office examinations, including taking patient pulses and checking for abnormal lumps. The device's advanced sense of touch allows it to detect stiffness similar to human fingers, enabling early disease detection and more efficient medical exams.
The researchers combined an NV diamond with a laser diode in an optical resonator, successfully demonstrating the sensor system with two active media. This breakthrough enables high-contrast sensors to measure biomagnetic signals from the brain or heart with improved sensitivity and dynamic range.
Researchers developed a wearable sensor using single-atom materials to detect uric acid, a biomarker for various health conditions. The sensor offers improved sensitivity and selectivity compared to conventional nanomaterials.
The University of Virginia has been awarded an $8 million grant to develop compact, chip-scale photonic systems that enhance the sensitivity of optical detectors. These advancements have the potential to transform fields like night vision technology and biomedical imaging.
Virginia Tech researchers publish real-time data to better understand what happens when people lose their balance. The study uses wrist-worn voice recorders to capture immediate, self-reported data from participants, providing a more reliable understanding of the circumstances surrounding balance loss among older adults.
The National Science Foundation has awarded Wavelogix a two-year, $999,910 Small Business Innovation Research (SBIR) Phase II grant. The funding will help the company develop a complete solution for scaling up production of its REBEL concrete strength sensors, enabling faster and data-driven decisions in construction engineering.
Plant biologists have mapped two paths that plants implement during elevated heat conditions to minimize heat damage. Carbon dioxide sensors play a central role in the stomatal warming-cooling responses, while a second heat response pathway bypasses normal photosynthesis-driven responses, leading to increased water use efficiency.
Researchers have developed a low-coherence Brillouin optical correlation-domain reflectometry system that overcomes spatial resolution and measurement range trade-offs. The new method uses periodic pseudo-random modulation, achieving accurate distributed strain measurements without a variable delay line.
Researchers developed a low-cost means of measuring indoor air quality, pinpointing sources and factors affecting PM concentrations. Air pollution levels remained within World Health Organisation guidelines during school hours, with dominant outdoor sources.
Researchers at Cranfield University have developed an innovative method for identifying biomarkers in wastewater using origami-paper sensors, enabling early detection of infectious diseases. The new test device is portable, fast, and cost-effective, making it a game-changer for public health measures.
Researchers found that migrating blackbirds do not save energy in warmer climates, but instead reduce their metabolism before departure. The study reveals a previously unknown mechanism used by migrants to save energy prior to migration, and suggests alternative physiological adaptations may offset the energy costs of migration.
A University of Houston team developed non-invasive, comfortable, and safe wearable sensors to monitor eyeball movements, providing early warning signs of brain-related disorders. The new sensors have potential applications in diagnosing conditions like ADHD, autism, Alzheimer's disease, Parkinson's disease, and traumatic brain injuries.
Researchers from Zhejiang University have developed a hybrid laser direct writing technique that enables the creation of functional copper interconnects and carbon-based sensors within a single integrated system. The process allows for real-time temperature monitoring over extended periods, ensuring optimal performance and reliability.
Researchers at the University of Bath have developed sensors that track physical changes experienced by exercisers while using VR headsets, allowing game designers to create immersive programs that adapt to a person's abilities and mood. This technology aims to increase user engagement and adherence to exercise.
A new type of sensor leverages exceptional points to achieve high sensitivity and reconfigurability. The novel design addresses limitations of traditional EP-based sensors by incorporating spoof localized surface plasmon resonators, allowing for dynamic reconfiguration of EP states across a wide frequency range.
Researchers at Rockefeller University identified CDCA7 as a new genetic sensor for DNA methylation, resolving the molecular function of a gene associated with a rare genetic disorder. The discovery explains how CDCA7 ensures accurate inheritance of DNA methylation and fills a major gap in epigenetics.
Brooke Flammang's Fluid Loco Lab at NJIT will develop non-invasive tag attachment technology for near real-time tracking of North Atlantic right whales. The project aims to improve conservation and regulation policy decisions with accurate predictions on whale distribution and habitat use.
Researchers at the University of South Australia have developed an AI sensor that can accurately measure the orientation of the Milky Way in low light, using a technique inspired by the dung beetle. This system could improve navigation for drones and satellites in difficult lighting conditions.
Scientists created a wearable sensor that can monitor cholesterol and lactate levels on dry skin, enabling early disease detection. The sensor overcomes existing challenges of traditional methods, promising new opportunities for remote patient monitoring and population-wide health screening.
The new battery can capture oxygen from air and use it to oxidize zinc, creating a current of up to 1 volt. It powers an actuator, memristor, clock circuit, and sensors, making it ideal for robotics and medical applications.
Researchers have developed an implantable device that can independently detect opioid overdose and automatically administer naloxone, with promising results in animal trials. The device, called iSOS, uses multiple sensors to continuously monitor vital signs and rapidly release naloxone when needed.
Researchers at MIT and Brigham and Women's Hospital have developed an implantable device that monitors vital signs and releases naloxone to reverse opioid overdoses. The device has shown success in reversing overdoses in animals, with a 96% recovery rate.
Researchers developed an air-powered computer that sets off alarms when certain medical devices fail, preventing blood clots and strokes. The device uses air to issue warnings, reducing costs and improving safety in healthcare settings.
Researchers at North Carolina State University have demonstrated a technique for creating strain sensors that can function both in air and underwater. The sensors, called 'amphibious,' enable applications such as wildlife monitoring and biomedical research.
This innovative system combines remote health monitoring and drug delivery using 3D-printed hollow microneedles, advancing personalized medicine. The integrated theranostic microneedle array measures key health indicators like pH, glucose, and lactate levels, while enabling rapid, pumpless, and point-of-care drug administration.
Researchers developed a new 2D quantum sensing chip using hexagonal boron nitride that can simultaneously detect temperature anomalies and magnetic fields in any direction. The chip is significantly thinner than current quantum technology for magnetometry, enabling cheaper and more versatile sensors.
A new national standard approved by AASHTO COMP uses Purdue-developed sensor technology to provide real-time data on concrete strength, potentially saving states and contractors time and money. The method aims to reduce uncertainty in determining when concrete pavement is strong enough to handle heavy truck traffic.
A protocol has been designed to harness the power of quantum sensors, allowing for fine-tuning of quantum systems to sense signals of interest. The framework uses a combination of qubits and bosonic oscillators to create sensors that are vastly more sensitive than traditional sensors.
Researchers at Binghamton University have developed self-powered aquatic robots that can skim across water and detect environmental data. The devices use ocean bacteria to generate power, with an average output of 1 milliwatt, enough for mechanical movement and sensor tracking.
Researchers at UMBC have created a new material for storing energy in devices, outperforming traditional lithium-ion batteries. The material uses twisted single-walled carbon nanotubes to store up to three times more energy per unit mass than advanced batteries.
Researchers at UCLA have developed a wavelength-multiplexed diffractive optical processor that enables all-optical multiplane quantitative phase imaging. This approach allows for rapid and efficient imaging of specimens across multiple axial planes without the need for digital phase recovery algorithms.
A groundbreaking quantum sensor capable of detecting minute magnetic fields has been developed through international scientific collaboration. The sensor utilizes a single molecule to sense electric and magnetic properties of atoms, offering spatial resolution on the order of a tenth of an angstrom.
The study tested wearable sensors and associated alerts to guide people's behavior, finding that personalized timing and symptom-based notifications led to higher self-test rates. The researchers also emphasized the importance of designing and clinically implementing new wearable sensors that track various health parameters.
A team of researchers is creating a socially assistive model for a robotic dog that adapts its behavior based on the owner's physiological and emotional characteristics. The project aims to improve interactions between humans and robots in home and healthcare settings.
Researchers at TU Delft developed an insect-inspired navigation strategy for tiny, lightweight robots, allowing them to return home after long trajectories while requiring minimal computation and memory. The strategy combines visual breadcrumbs and step counting to enable autonomous navigation in cluttered environments.
Scientists from HZDR, TU Chemnitz, TU Dresden, and Forschungszentrum Jülich have demonstrated the storage of entire bit sequences in cylindrical domains. The team's findings could lead to novel types of data storage and sensors, including magnetic variants of neural networks.
Researchers created tiny force sensors directly in chicken embryos to study spinal cord malformations. The study aims to prevent congenital malformations by identifying new preventative and therapeutic strategies. Quantifying mechanical forces during embryonic development promises a step change in understanding development.
Researchers used movement sensors to track thoroughbreds' stride patterns and identified miniscule changes associated with increased injury risk. The technology has been shown to prevent catastrophic injuries by alerting trainers and veterinarians to intervene before a major injury occurs, resulting in longer careers for affected horses.
A new system developed by researchers at Binghamton University uses local computing power to analyze sensor data from everyday devices like smartphones and laptops, detecting abnormal movements with high accuracy. The Rapid Response Elderly Safety Monitoring (RESAM) system aims to cut reaction times and improve safety for older adults,...
Researchers have developed a novel method to significantly enhance quantum technology performance by leveraging cross-correlation of two noise sources. This approach extends coherence time, improves control fidelity, and increases sensitivity for high-frequency sensing.
The NTU team created a compact and flexible light-based sensing device, like a plaster, to provide highly accurate biomarker readings within minutes. The device detects glucose, lactate, and urea levels in sweat with ultra-high sensitivity and dynamic range.
A new partnership has developed a functional safety sensing platform based on 3D ultrasound, providing an additional layer of safety and reliability for autonomous vehicles. The technology complements existing systems and enables vehicles to detect their surroundings in real-time, even in extreme conditions.
Researchers developed a one-dimensional convolutional neural network (1D CNN) to compensate for errors due to sample location variations. The model achieved high accuracy, reducing mean absolute error to 0.695% and mean squared error to 0.876%.
A randomized controlled trial found that four weeks of outdoor gait training, combined with home exercises, improved running biomechanics and reduced the time feet were in contact with the ground. This technique may help patients improve their stride and reduce pain associated with shin splints.
The University of Maryland team created a camera mechanism that mimics the involuntary movements of the human eye, resulting in sharper and more accurate images. The Artificial Microsaccade-Enhanced Event Camera (AMI-EV) has implications for robotics, national defense, and industries relying on accurate image capture.
Researchers are working on improving the quality of high frequency wireless networks. Dr. Murat Yuksel is hoping to realize the dream of unimpeded communication at distances near and far. He is developing a smart wireless network system using machine learning, which can fine-tune the networks' efficacy.
Physicists have achieved a record-setting level of electron mobility in a thin film of ternary tetradymite, a class of mineral found in gold and quartz deposits. The material's high electron mobility makes it suitable for efficient thermoelectric devices that convert waste heat into electricity.
Scientists at IOCB Prague have developed two new types of catalytic DNA molecules that can reveal target molecule presence through fluorescence or color. The research uses directed evolution to discover novel fluorescent and colorimetric deoxyribozymes, with potential applications in diagnostic tests.
A study found that a cuffless wrist monitor provides hundreds of readings in days, enabling clinicians to determine cardiovascular risk and improve hypertension care. The device's continuous readings help confirm diagnosis and guide medication titration, potentially revolutionizing hypertension management.
Researchers from Florida Atlantic University developed a novel approach using wearable sensors and machine learning to assess balance. The method achieved high accuracy and strong correlation with ground truth balance scores, suggesting it is effective and reliable in estimating balance.
Researchers developed a new method for detecting foodborne pathogens using a 3D-printed microfluidic chip, which can rapidly test for multiple pathogens simultaneously. The chip uses light to detect pathogens and has been shown to be effective in detecting common bacteria such as E. coli and salmonella at very low concentrations.
A team of researchers from Tokyo Tech proposes a new signal-amplification system utilizing sumanene-based supramolecular polymers, exhibiting exceptional signal amplification through dynamic allosteric manipulation. The system's sensitivity was demonstrated with a 62.5-fold signal amplification of steroid molecules.
Researchers developed a 3D metamaterial capable of detecting polarization and direction of light, overcoming limitations of conventional optical devices. The breakthrough technology utilizes pi-shaped metal nanostructures with numerical aperture-detector polarimetry to analyze light distribution.
Researchers developed an emotion analysis model that can identify affective states with high accuracy using convolutional neural networks. The study shows that AI algorithms may be better at recognizing negative emotions than humans, but raises ethical concerns about data privacy and misuse.
Researchers are developing advanced electronic bandages to improve chronic wound monitoring and healing. These 'smart' dressings can sense and respond to changing conditions, providing continuous data on healing and potential complications.
Researchers at the University of Gothenburg have identified clear stress patterns among children undergoing dental treatment, particularly during anesthetic injections. The study used a sensor tool to monitor hand movements and sweating, revealing that invasive treatments were significantly more stressful for longer periods.
Researchers from Shinshu University have created a novel composite material with exceptional capabilities for motion and physiological sensing. The new sensor design showed significant performance and stability improvements, enabling practical use in wearable applications.
A trash-sorting robot has been developed that can recognize and classify objects using tactile information and machine learning algorithms. The robot achieved a classification accuracy of 98.85% in recognizing diverse garbage objects not encountered previously.
Researchers demonstrate a new way to confine infrared light using thin-film oxide membranes, which outperform bulk crystals in resolution and frequency maintenance. The technique has potential applications in photonics, sensors, and thermal management.