Articles tagged with Research and Development
A new study uses reinforcement learning to develop an AI model that can hedge derivative contracts with significantly lower training data requirements. The model's adaptability and accuracy under realistic conditions outperformed benchmark systems.
Linköping University scientists create an electrically conductive substrate, eSoil, which enhances crop growth by up to 50% in just 15 days. This innovation enables efficient water and nutrient management, making it suitable for urban environments and areas with limited arable land.
A Japanese research team developed a four-meter-long, remotely controllable flying firehose robot called the Dragon Firefighter. It can safely and efficiently extinguish fires by directly approaching flames. The robot will be deployed in real-world firefighting scenarios after approximately 10 more years of development.
Researchers at Osaka Metropolitan University fabricated GaN transistors using diamond substrates, achieving more than twice the heat dissipation of SiC-based transistors. This novel technology has the potential to revolutionize power and radio frequency electronics with improved thermal management capabilities.
Recent review highlights the potential of AGI in radiotherapy, enabling advanced auto-segmentation, tumor staging, and treatment planning. The fusion of vision data with large language models creates powerful multimodal models that elucidate nuanced clinical patterns.
Researchers developed a non-invasive MRI technology to measure interstitial fluid flow, crucial for tumour treatment. The new method combines phase-contrast MRI with an improved stimulation echo sequence, reducing signal loss and improving detection accuracy.
Researchers developed a method to measure microvascular changes in the skin using AI and optoacoustic imaging technology, enabling non-invasive assessment of diabetes severity. The study identified 32 significant changes in blood vessels, which can be used to monitor disease progression.
The TAF/EVG fast-dissolving vaginal insert is being evaluated in a Phase 1 study to determine its safety and user acceptability. The study aims to assess the product's effectiveness as an on-demand HIV prevention method for women, particularly those who do not want or can't use daily PrEP or long-acting products.
A Washington State University study found that watching videos of a soft robot working with a person at picking and placing tasks lowered the viewers' safety concerns and feelings of job insecurity. Soft robots have a potential psychological advantage over rigid robots, as proximity does not increase negative reactions.
Researchers have developed a new mixture, organ agar, that enables them to screen bacteria more efficiently than traditional methods. This innovation allows for the testing of over 1,700 mutants of the UTI-causing bacteria Proteus mirabilis using only a quarter of the mice typically required.
Researchers have developed a new method, SECRE, to identify genetic regulators of cytokine secretion in autoimmune diseases. The technique has been validated on cells known to play a crucial role in inflammatory bowel disease (IBD) and shows promising results for treating conditions with few therapeutic options.
A new checklist, Consensus Reporting Items for Studies in Primary Care (CRISP), outlines key reporting items for primary care studies. The CRISP Checklist describes aspects of research, including teams, patients, and study implementation, to improve primary care research reporting worldwide.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
Researchers at Chalmers University of Technology have discovered a new method for capturing proteins in nano-sized traps to study difficult-to-treat diseases. The technique allows for the trapping of hundreds of proteins in a small volume, enabling the study of early development and potential drug countermeasures.
Researchers developed a novel method to model market regime dynamics using efficient frontiers. The approach outperforms benchmarks and provides interpretable results, allowing for better understanding of portfolio optimization.
Multimodal neuromonitoring (MNM) tracks blood flow, pressure, oxygen and glucose levels in the brain to inform treatment decisions. MNM has improved clinical outcomes for patients with severe traumatic brain injuries at the University of Cincinnati.
A new technology enables the printing of complex robots with soft, elastic, and rigid materials in one go. This allows for the creation of delicate structures and parts with cavities as desired.
Researchers at NC State University developed an autonomous system called SmartDope to synthesize 'best-in-class' materials for specific applications in hours or days. It uses a self-driving lab to manipulate variables, characterize optical properties, and update its understanding of the synthesis chemistry through machine learning.
The Southwest-Midwest Pediatric Device Innovation Consortium has supported over 200 pediatric device innovators and companies, developing several devices in the past five years. The consortium's portfolio includes real-world evidence research projects using digital tools for collecting and analyzing patient data.
Researchers have made a breakthrough in studying species evolution by using robotic video microscopes and computer vision to measure embryo characteristics. The study found huge changes in an embryo's observable traits before and after developmental events, suggesting that measuring timings of development is just the tip of the iceberg.
A vaginal film designed to dissolve in 30 days is being tested for its feasibility and acceptability as a potential HIV prevention method for women. The study will enroll 100 women and assess the comfort, usability, and safety of two prototype films with different shapes.
Researchers from Ritsumeikan University developed a low-cost, self-powered biosensor for monitoring organic wastewater in freshwater lakes and rivers. The biosensor uses a microbial fuel cell to detect the level of organic contamination in water samples, providing an early warning system for water quality management.
Researchers developed a new method that allows designing 3D-printed metal parts with varying strength levels, electrical conductivity, or corrosion resistance. The technique uses 3D-printing steps and can reduce manufacturing costs.
Researchers at NICT developed a novel structure for superconducting strip photon detectors, achieving high performance and polarization independence. The new technology enables the creation of wider strips, increasing productivity and reducing fabrication costs.
A new project aims to help robots assess risks and make autonomous decisions. The research focuses on quantifying ambiguity in robot perception to improve safety and efficiency.
Research from TU Dortmund University and RWTH Aachen University suggests that marketing academia has focused on identifying new phenomena, but neglected building 'big-picture' frameworks and theories. This limits the field's ability to provide answers to complex marketing problems.
A six-year study of a satellite found that low-cost solar panels can withstand harsh space conditions and generate power, opening the door to large-scale solar farms in orbit. The technology has been developed by researchers at the Universities of Surrey and Swansea.
Researchers have developed an integrated THz vortex beam emitter to detect rotating targets with remarkable precision. The system uses spiraling electromagnetic waves with orbital angular momentum to accurately measure the speed of a rotating object, with a maximum margin of error of just around 2 percent.
Advances in VR display technology have overcome the 'screen door effect' by introducing 2117 PPI LCDs with high partition mini LED backlighting. This enhances contrast, color accuracy, and viewing angles, making VR experiences more immersive.
Researchers developed a method using microRNA and messenger RNA to identify five common human body fluids at crime scenes. The combined mRNA and miRNA system showed significant advantages over previous methods, providing a scientific reference for RNA-based body fluid identifications.
A novel strategy utilizing phosphorus nanolayers mitigates electrode-level heterogeneity in fast-charging lithium-ion batteries. The graphite-phosphorus composite exhibits consistent cycle retention, high Coulombic efficiency, and improved lithiation uniformity.
Researchers at UTSA have been awarded a grant to develop a new technology that converts carbon dioxide into a raw material for producing chemical products. The project has the potential to create a productive area of catalysis research and reduce greenhouse emissions.
Researchers at the University of Birmingham have created binding molecules to make platelets clump together, enabling validated clinical assays and research tools for studying platelet activation. The 'nanobody' technology shows promise for developing therapeutics for blood and thrombotic disorders.
The University of Houston has received $5 million in DOE funding to develop high-performance superconducting tapes. The project aims to improve manufacturing efficiency and reduce costs, enabling the technology's widespread adoption in clean energy applications.
A University at Buffalo-led research team has developed molecules that can transport chloride ions across cell membranes, increasing airway surface liquid and restoring normal mucus clearance in cystic fibrosis cells. The synthetic anion binders offer a new potential treatment for the chronic disease.
Researchers developed a novel approach to predict therapeutic targets for aging and age-related diseases. They trained a domain-specific BioGPT model on biomedical literature, which improved its performance in identifying prospective targets.
A University of Melbourne research team is developing an oral therapeutic to restore the activity of common antibiotics used to treat community-acquired bacterial pneumonia. The project aims to combat antibiotic-resistant bacteria and reduce healthcare costs, with potential applications in low- and middle-income countries.
Researchers at UVA Health System have developed a powerful new tool to understand how medications affect men and women differently. The model has provided unprecedented insights into biological processes in the liver, helping ensure that new medications will not cause harmful side effects.
A study of 33 physicians across 17 specialties found that chatbots provided largely accurate information to diverse medical queries. However, the chatbots had important limitations that require further research and model development.
Scientists have discovered a suitable combination of chemical compounds that can preserve adult zebrafish hearts for up to 5 days at -10°C. This breakthrough could potentially be used for the preservation of other organs before transplantation, revolutionizing organ donation and increasing the chances of successful transplants.
A new approach is being developed to identify sepsis in newborn babies, with the potential to transform sepsis testing. The Neosepsis project aims to reduce neonatal deaths in Uganda by providing a quick and reliable test using a small drop of blood.
A multidisciplinary team investigates hospital wastewater samples and demonstrates the effectiveness of photocatalytic treatment in reducing pharmaceutically active compounds and bacteria. The study highlights the challenges posed by antibiotic-resistant bacteria and suggests a promising step towards sustainable wastewater treatment.
Researchers developed MonoXiver, a new method to help AI extract 3D information from 2D images, making cameras more useful tools for emerging technologies. The method significantly improves accuracy when used in conjunction with existing techniques, such as MonoCon.
Preeclampsia, a major cause of maternal mortality, has increased by 37% in Texas since 2017. A new $1.47 million NIH grant will support research initiatives to address preeclampsia rates in six Panhandle counties.
The Massive Transfusion in Children-II (MATIC-II) clinical trial will test multiple interventions for life-threatening bleeding in children. The trial aims to determine the most effective and safe bundle of care for pediatric trauma patients, with a focus on precision transfusion medicine.
Researchers have developed an integrated sensor capable of capturing and enhancing bio-signals, paving the way for potential treatments of brain disorders. The innovative technology uses inkjet printing to create a flexible substrate with a custom-made sensor.
Researchers have developed a hybrid silicon photocatalyst that efficiently produces hydrogen and high-value compounds using solar power. The non-toxic catalyst achieves an impressive rate of 14.2 mmol gcat−1 h−1, significantly higher than conventional silicon photocatalysts.
A comprehensive survey of ChatGPT papers reveals a rapid increase in interest for NLP models, but also raises concerns about biased content generation and technology misuse. The study emphasizes the need to establish responsible development and deployment frameworks for ChatGPT.
Researchers have developed a new flexible adhesive with improved recovery capabilities and high adhesive strength, enabling applications in foldable displays and medical devices. The adhesive demonstrated remarkable stability under repeated deformation and strain, making it suitable for fields requiring flexibility and optical clarity.
The University of Texas at Dallas will develop and commercialize new battery technologies, enhance domestic raw material availability, and train workers for the expanding battery industry. The Energy Storage Systems Campus will leverage $200 million in private capital.
The University of Colorado Anschutz Medical Campus has received a $54 million grant from the National Institutes of Health to advance clinical and translational science. The grant will enable the Colorado Clinical and Translational Sciences Institute (CCTSI) to translate discoveries into better health and patient care across the state.
A new study led by Dr. Armen Saghatelyan uncovered the migratory mechanisms of neuronal cells in a neurodevelopmental disorder. The team found that modulating autophagy with FDA-approved drug metformin restored the cells' migratory properties.
Researchers at Indian Institute of Science create SQ-CARS, a scalable platform for advanced quantum experiments with superconducting transmon qubits, reducing cost and size.
The Human Brain Project has achieved major breakthroughs in understanding the complex structure and function of the brain, enabling novel medical and technological applications. The project's digital atlas and personalized virtual models have provided unprecedented insights into brain conditions such as epilepsy and Parkinson's disease.
Researchers have created a highly efficient and stable photoelectrode for water splitting using organic semiconductors. The new design overcomes the limitations of traditional inorganic semiconductor-based photoelectrodes, resulting in enhanced hydrogen production efficiency.
A new artificial olfactory system, integrated on a single chip, detects food spoilage by identifying low levels of hydrogen sulfide and ammonia gases. The system tracks freshness scores in real-time during the spoilage process.
Researchers developed a photoelectrochemical technique to precisely tune the lasing wavelength of microdisk lasers with subnanometric accuracy. The new approach facilitates the fabrication of micro- and nano-laser batches with precise emission wavelengths.
Researchers at CNRS develop new synthesis method for silicones, eliminating toxic cyclic oligosiloxanes and endocrine disruptors. The breakthrough could significantly impact the industrial sector with a more environmentally-friendly alternative.
A new method can detect drivers' attention levels from their eye movements, enabling the development of more effective takeover signals. The study found that drivers who are engrossed in on-screen activities take longer to respond to warnings, highlighting a potential safety concern.
A new AI-powered triage platform uses machine learning and metabolomics data to predict patient disease severity and length of hospitalization during a viral outbreak. The platform integrates routine clinical data, patient comorbidity information, and untargeted plasma metabolomics data to drive its predictions.