Articles tagged with Research and Development
A team of researchers from Tokyo University of Science developed a super-hierarchical and explanatory analysis method for magnetic reversal processes, enabling the detection of subtle microscopic changes. The new algorithm can predict stable/metastable states in advance and improve the reliability of spintronics devices.
Researchers have developed a way to encapsulate vitamin A in a protective polymer, preventing its breakdown during cooking or storage. The technology has shown similar bioavailability when consumed as bread fortified with encapsulated vitamin A compared to eating vitamin A on its own.
Researchers at UCSF and IBM Research create a predictive model that encodes commands for cells to kill cancer cells. By combining words that guide engineered immune cells, they can predict which elements should be included in a cell to carry out precise behaviors. This advance allows scientists to rapidly design new cellular therapies.
Researchers at FAU and industry partners aim to create a universal radio adapter for seamless and secure operations through non-cooperative indigenous 5G networks. The project aims to reduce interception, disruption, or jamming of communications over 5G networks.
Researchers found that longer chromosomal arms are always thicker throughout eukaryotic species, providing insights into mitotic chromosomal structure. This study challenges current perspectives on mitotic chromosome formation and may lead to new ways to prevent chromosome miscarriage and cancer cell formation.
A new study pinpoints the first-ever domestication of cats to nearly 10,000 years ago in the Fertile Crescent region. Genetic analysis reveals that humans' transition from hunter-gatherers to farmers sparked the bond between humans and rodents-eating cats, leading to their migration with humans worldwide.
The NSF is funding projects that utilize the International Space Station (ISS) National Laboratory to advance tissue engineering and mechanobiology research. This solicitation aims to further drug discovery and therapeutic development through space-based research, with potential impacts on regenerative medicine and disease diagnosis.
Researchers at Klick Applied Sciences have created a machine learning model to predict diabetes onset in patients using just 12 hours of data from continuous glucose monitors. The study showed high accuracy in identifying prediabetes, healthy patients, and those with Type 2 diabetes, offering a potential tool for early disease prevention.
Engineers at Duke University developed a device that separates and sorts tiny biological nanoparticles from blood using 'virtual pillars' created by sound waves. The technology, dubbed ANSWER, shows promise for diagnostics and treatments, with accuracy rates of up to 96%.
Researchers studied human breast tissue growth in hydrogels of differing densities, finding liquid-like environments promote different tissue organization. The study has implications for understanding organ development and cancer growth.
A new deep learning model using conditional generative adversarial networks (cGANs) has been developed to diagnose bowel ischemia. The model achieved an accuracy of over 93% in segmenting ischemic intestine images, surpassing current subjective methods.
Researchers developed a novel optical technique to directly monitor cerebral oxygen consumption and blood flow in real-time. The technique uses phosphorescent probes to track the brain's oxygen gradient, providing valuable insights into brain activity and metabolism.
Researchers are developing functionally graded materials using 3D printing, aiming to create sustainable and efficient materials for the air transport and security industries. The goal is to optimize mechanical properties and minimize production costs.
A new study using artificial intelligence has found that a simple eye test can accurately predict the risk of heart disease. The researchers developed an algorithm that can analyze retinal images to assess cardiovascular health, providing a non-invasive alternative to traditional risk scores.
Researchers at UNIST developed a subcutaneously implantable electromagnetic biosensor system for continuous glucose monitoring. The new technology eliminates the need for frequent finger pricking, providing more accurate blood glucose level tracking and improved patient care.
Chung-Ang University researchers propose a new algorithm, MR-UCB and MR-APE, to tackle stochastic multi-armed bandit problems with heavy-tailed noise distributions. The methods guarantee minimal loss for worst-case scenarios with minimal prior information.
The SpaceX Dragon spacecraft will launch onboard a Falcon 9 rocket with critical research and supplies for the International Space Station. ISS National Laboratory-sponsored projects aim to bring value through space-based research and technology development.
Researchers have developed mini eyes, or organoids, from stem cells donated by patients with Usher syndrome. These mini eyes allow scientists to study light-sensing cells and understand the development of blindness in the disease.
Researchers have developed a new miniature robot called Joey that can explore real pipe networks completely on its own, weighing just 70g. The robots are small enough to fit in the palm of your hand and are equipped with energy-efficient sensors to navigate through narrow sections and obstacles.
A new microscopy system using optical tapered fibers has successfully acquired images of photoacoustic signals without contrast agents. The resolution is sufficient for cellular imaging, including red blood cells, with a resolution of 1.0 ± 0.3 micrometers.
The Julich Brain Atlas provides detailed maps of brain cells and receptors, enabling better understanding of brain connectivity and function. The atlas allows for correlation between brain network activity and underlying anatomy, aiding in the diagnosis of psychiatric disorders.
A new study co-authored by Bayes Business School found that larger public companies suffer from loss of innovation and lower share price value when managers are permitted to take decisions in their own self-interest. The study examined the effects of waiving fiduciary duties on R&D investment, finding a significant decline.
Researchers developed a one-step synthesis route for LDHs using basic magnesium carbonate, reducing costs and environmental impact. The new process produces LDHs with nanosheet morphology and rich defects at room temperature.
A multi-campus research team has created a novel device that can non-invasively measure cervical nerve activity in humans, with potential applications for personalized treatments of sepsis and mental health conditions like PTSD. The device features a flexible array of electrodes that capture electrical activity across different nerves.
The proposal aims to provide a central repository for battery test information, enabling researchers to use advanced data science methods to accelerate battery technology development. The availability of open-source information on batteries is limited, but the Battery Data Genome could help address this challenge.
The study developed an extended deep Q-network (EDQN)-incorporated context-based meta-RL model that can autonomously detect traffic states, classify regimes, and assign signal phases. The model outperformed existing algorithms in simulation experiments and showed adaptability to new tasks without adjusting parameters.
The study proposes a multidisciplinary developmental perspective to understand leadership in adolescence, highlighting the importance of studying youth leadership and its impact on society. Researchers aim to develop leadership interventions to maximize potential and facilitate better diversification of the leadership pipeline.
A novel AI-based malware detection and classification system has been developed for 5G-enabled Industrial Internet of Things (IIoT) systems. The system achieved an accuracy rate of 97% on benchmark datasets, enabling the secure connection of applications such as smart cities and autonomous vehicles.
Researchers have demonstrated a power-efficient component for demultiplexing operation using silicon photonic MEMS, enabling efficient wavelength demultiplexing for fiber-optic communications. The compact footprint of the add-drop filter allows fast operation compared to established MEMS products.
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 at Johannes Gutenberg University Mainz develop an electrochemical technique to recover halogens without burning carbon structures, reducing emissions and stabilizing energy supplies. The project aims to contribute to a circular economy of halogens and reduce dependence on fossil reserves.
The 7th International Meeting of the Digital Olfaction Society will showcase innovations and products in digital olfaction. Several demonstrations, including those by Sony and Ricoh, will be displayed, highlighting progress in olfactory measurement, testing, and transmission.
Researchers at Washington State University developed a new method to measure residual herbicides in fruits, vegetables, and their products using nanoparticles. The test is sensitive enough to detect chemicals down to maximum acceptable levels and is validated using traditional testing methods.
Researchers at North Carolina State University have developed a new self-healing composite that can repair itself in place without removal. The technology addresses two longstanding challenges, increasing the lifespan of structural components by up to 500%. This resolves limitations such as overheating and limited self-repair cycles.
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 study published in BMJ Open found that quad bike injuries among children are significantly more severe and common than car injuries. The research highlights the need for public education campaigns to educate on ATV-related injuries, particularly in young riders.
An AI-based model has been developed to assist radiologists in detecting and identifying leadless implanted electronic devices (LLIEDs) on chest X-ray images. The model achieved high detection and classification accuracy, even with suboptimal image quality, and showed promise for real-world deployment.
A new two-year project is being launched to reduce the spread of retracted research and improve confidence in scientific discovery. The goal is to create a system that can signal retraction status consistently to humans and machines.
A research group at Kobe University has successfully synthesized α-amino acid N-Carboxyanhydrides (NCAs), a crucial precursor for artificial polypeptides, using the photo-on-demand phosgenation method. This new synthesis method eliminates the use of toxic phosgene and is considered safe, inexpensive, and simple.
The Beckman Institute has established a new national collaborative Biomedical Technology Research Resource to develop label-free optical imaging technologies. The center aims to create optical and computational imaging technologies that can serve as a resource for clinicians and researchers.
Researchers at Kyushu University developed a new method to create highly detailed 3D models of plants and animals. Over 1,400 models are now publicly available for use in education, research, and virtual exploration.
A team of researchers from Pohang University of Science & Technology (POSTECH) has created a fixed LiDAR sensor that can see objects in all directions. The new sensor uses a metasurface to expand its viewing angle, allowing for 360° recognition and three-dimensional imaging.
Researchers at Sandia Labs have successfully built a compact, rugged quantum inertial sensor that can guide vehicles without satellites. The device uses advanced materials and integrated photonic technologies to achieve high accuracy and miniaturization.
Researchers developed a small peptide that can directly kill bacteria and trigger plant defense tactics to prevent diseases like almond leaf scorch. The treatment significantly reduces pathogen population and disease symptoms, making it a promising approach for sustainable crop protection.
Researchers developed a computational protocol called MACH that can quickly determine whether a given compound will form a crystal hydrate. The tool uses rules to systematically determine where water would likely be inserted into a crystal, providing essential knowledge for drug development and formulation.
The project aims to accelerate advanced simulation and computing applications using Cerebras Systems' Wafer-Scale Engine, a 2.6 trillion transistor computer chip. The collaboration will enable artificial intelligence and machine learning techniques for future mission applications.
Researchers at Pohang University of Science & Technology have developed technology to produce itaconic acid, a source material for bioplastic, using E. coli bacteria. This breakthrough enables mass production of bioplastic from steel mill gases, potentially transforming the plastics industry.
A new mechanism has been discovered for the passive transport of biomolecules through the nuclear pore complex, with implications for human diseases. The research team used supercomputing simulations on Frontera and Stampede2 systems to study the kinetics of the nuclear pore transport.
WayPath Pharma has been awarded a $225,000 Phase I Small Business Technology Transfer (STTR) award to develop new metabolic drugs targeting tumor stem cells and crossing the blood-brain barrier. The funding aims to advance treatment options for glioblastoma, a highly aggressive brain cancer with limited treatment options.
Researchers at North Carolina State University developed a blueprint for incorporating ethical guidelines into AI decision-making programs. The new mathematical formula, based on the Agent, Deed, and Consequence (ADC) Model, considers intent, character, and consequences of actions to make more informed decisions.
The journal covers high-quality research and practice-driven advancements in distributed ledger technologies. Featured articles include Byzantine Fault Tolerance, incentivizing data quality, decentralized federated learning, and scalable trustworthy infrastructure.
Rescue Biomedical's technology detects opioid overdoses and delivers naloxone to reverse them. The NIH grant will help the company complete milestones, including regulatory approval and scaling up manufacturing.
Assistant Professor SUZUKI Hiroo and colleagues have developed a method to grow highly crystalline TMDCs, such as MoS2 and WS2, using chemical vapor deposition in a stacked substrate configuration. The technique produces samples with large domains and optimal photoluminescence characteristics.
LSU Health New Orleans has been awarded $4.6 million to develop a Burn Prehospital Provider Program, which will provide education and training for military and civilian healthcare providers in different environments. The program aims to improve burn injury care before patients reach a hospital.
A new study from the University of Bergen found that prophylactic anti-malarials can save money and reduce hospital readmissions for severely anaemic children in malaria-endemic areas. The research showed a 70% reduction in readmissions and deaths among these children.
A new research paper has demonstrated that psychological factors, such as feeling unhappy or being lonely, add up to 1.65 years to one's biological age, significantly impacting overall health and longevity.
A new study from Boston University's Social Development and Learning Lab reveals that children from lower socioeconomic backgrounds take bigger risks in certain situations due to their environment. The research, led by Professor Peter Blake, suggests that children are rationally choosing risk when it makes sense in their circumstances.
Researchers at UCSF have identified six novel molecules that can alleviate pain in mice without causing sedation. These compounds target the alpha2a adrenergic receptor and are from chemically different families, making them promising candidates for further development.
A team of 15 doctoral researchers is investigating targeted cancer treatments by developing special molecules that stimulate the immune system to destroy tumor cells. These minimally invasive anti-cancer drugs attach a substance that damages tumor tissue to a transporter molecule, recognizing and delivering it to cancerous cells.
Researchers developed a machine learning model to quickly recognize predictive risk factors and their importance for undesirable hospitalization outcomes. The model achieved an accuracy of 95.6% and identified modifiable risk factors that can be mitigated through clinical interventions.