A doctoral student at Texas A&M University has designed a chip that can revolutionize data rate for processors by utilizing photons. The chip operates at higher speeds with higher data rates compared to previous generation of chips, and is capable of reaching nearly five times the bandwidth.
Researchers at Texas A&M University developed a framework to assess community resilience after natural disasters by analyzing location-based data from essential establishments. The study found that communities with low resilience experienced more flooding, but the level of impact did not necessarily correlate with recovery time.
A long-term study tracked macaw movements using satellite telemetry over eight years, revealing large home ranges and daily travel distances. The research highlights the importance of conservation strategies for the scarlet macaw and similar species, which share habitats with endangered species and influence ecosystems.
Researchers at Texas A&M University have developed a shape-memory alloy filler that can be inserted into airplane wings to reduce noise during landing. The material can deploy itself into the perfect position, eliminating air circulation and jarring sounds.
A study by Texas A&M University suggests that current US laws do not align with the American public's preferences for using big data in public health. The public prefers big data to be used for common good over individual or self-serving interests.
Researchers at Texas A&M University created novel 3D printable phase-change material composites to regulate ambient temperatures in buildings. These composites can be added to building materials or 3D printed as decorative accents.
Texas A&M researchers found that sea otters' muscles use thermogenic leak to generate heat, allowing them to thrive in cold water. This finding explains how otters maintain their high metabolic rate and survive in marine environments.
A new study by Texas A&M University researchers determines the minimum size of electrical currents needed to provide sensation in different parts of the mouth. They developed an equivalent circuit of the intraoral cavity and plan to investigate how electrical stimulation affects chewing and swallowing behaviors.
A new rate plan aims to benefit individuals who use less power or utilize solar power, while those with high peak usage pay more. The system uses electric smart meters and a grid access fee to approximate the impact of end-users' time-varying demand on local distribution networks.
Researchers analyzed oxygen isotopes from Texas caves to understand trends in past thunderstorms and their durations. They found that shifts in storm regimes coincide with global abrupt climate shifts during the last glacial period. This study helps predict future mid-latitude thunderstorm patterns.
A team of researchers, led by Dr. Muzammil Arshad, conducted a study on the performance of hydrogen-enriched fuel in spark ignition engines. The findings show that adding hydrogen can reduce in-cylinder peak pressure and emissions, making it a potential solution to improve fuel efficiency and reduce harmful emissions.
A team led by Dr. Shoufeng Lan is investigating the use of electromagnetic control over the synthesis of chiral compounds at an atomic level, which could lead to safer and cheaper pharmaceuticals. The researchers hope to create chiral seeds at the atomic scale and transfer chirality using cutting-edge technologies.
Researchers at Texas A&M University used machine learning to evaluate metallic nanoparticles' susceptibility for plant uptake. The algorithm indicates how much plants accumulate nanoparticles in their roots and shoots, providing a safer approach to nanotechnology in agriculture.
A new web tool, webSalvador, offers more accurate methods for constructing confidence intervals and comparing mutation rates in bacteria mutation research. This tool eliminates the need for scientists to learn programming languages, increasing efficiency and efficacy of the Luria-Delbrück experiment.
Researcher Dr. Igor Ivanishin is investigating the impact of varying calcium contents on dolomite and calcite mineral stability, which can lead to improved well stimulation operations. His findings suggest that injected acids may unevenly dissolve rock in carbonate reservoirs, leaving some areas untouched.
Researchers at Texas A&M University have developed a new class of hydrogels that can be controlled by light, enabling precise drug delivery and regenerative medicine treatments. The hydrogels are responsive to near-infrared (NIR) light, which has a higher penetration depth than other light sources, allowing for more effective therapy.
Researchers developed a smart electronic platform to monitor mental wellbeing between doctor visits, using facial cues, voice patterns, and vital signs sensors. The technology provides continuous access to patient variables and status, enabling care teams to reach out to patients in need.
A team of researchers at Texas A&M University used experimental cellular evolution to study how cells respond to controlled mechanical properties. They found that cellular mechanosensing is not optimal but a tradeoff, and that cells can evolve under selection pressure from biomaterials of controlled stiffness.
Researchers at Texas A&M University have developed a method to compare the performance of different wind turbine designs, using machine learning and social science analysis. The study found that this technique can provide a robust and accurate way to determine the merit of competing technologies.
A new computational model has been developed to predict the physical phenomenon inside very-high-temperature pebble-bed reactors. The model can accurately account for friction between fuel pebbles and its influence on cooling, allowing for safer and more efficient operation.
A new study by Texas A&M researchers found significant decreases in childhood vaccination rates in Texas during the COVID-19 pandemic. Vaccination rates declined by 47% for 5-month-old children and 58% for 16-month-old children, with rural locations experiencing greater declines than urban areas.
Researchers used slice-and-view scanning electron microscopy to uncover a twin boundary defect in a soft-block copolymer. The defect may be exploited to create materials with novel acoustic and photonic properties.
A new framework combines renewable energy with flexible carbon capture, improving efficiency and reducing costs. The system utilizes dynamic operational schedules to manage complex decisions, providing an effective decarbonization mechanism for the current fossil-dominated energy landscape.
Researchers at Texas A&M University have developed a new metal-free, recyclable polypeptide battery that degrades on demand, offering a sustainable alternative to traditional lithium-ion batteries. This breakthrough technology uses polypeptides, components of proteins, to create a non-toxic and recyclable power source.
A team of researchers at Texas A&M University has successfully developed a heat-inactivation method that can neutralize the coronavirus in less than a second. This innovative approach uses high temperatures to break down the virus, providing a potential solution for mitigating the spread of COVID-19. The findings have significant impli...
Scientists at Texas A&M University designed a new type of battery that eliminates the need for metals and flammable electrolytes. The metal-free, water-based battery shows improved energy storage performance despite lower capacity compared to traditional Li-ion batteries.
Researchers found body mass index and age impact neck strength and endurance, while time of day also plays a role. The study's results can inform strategies to prevent neck pain and improve musculoskeletal biomechanical models.
A Texas A&M study found that racial and ethnic diversity in schools can decrease mental health risk for some Latinx students, while increasing symptoms among non-Latinx Black and Latinx students. The research used data from 389 sixth-graders across 14 urban Texas public schools.
Researchers developed a new model using the SEIR framework to project daily COVID-19 cases, achieving accuracy and reliability. The model forecasts future infections under three scenarios, with limitations due to data accuracy and assumptions about transmission rates.
Texas A&M researchers have developed a method to indirectly retrieve and weaken fear memories, which could lead to more effective therapy for treating trauma. By reactivating traumatic memories through conditioning procedures, scientists can make them vulnerable to disruption.
Texas A&M researchers have developed a reliability framework to improve the distribution system, reducing interruptions by 50% and customer average interruption duration by 45%. The framework can also test the impact of installing rooftop solar and energy storage on the system.
Researchers at Texas A&M University have developed an organic material that uses less energy to dry air, enhancing the efficiency of heating, ventilation and air conditioning (HVAC) systems. The polyimide-based dehumidifiers can bring down the cost of HVAC systems, which currently cost thousands of dollars.
Researchers at Texas A&M University are using Bayesian optimization frameworks to combine multiple information sources and develop a more complete picture of underlying processes. This approach aims to reduce production time and costs by predicting the needed composition and processing for specific designs.
Researchers analyzed soil samples from the Manchester neighborhood in Houston, finding nearly half contaminated with polycyclic aromatic hydrocarbons (PAHs), which are linked to poor health outcomes and different types of cancer. The highest concentrations were found near major highways and industrial facilities.
Researchers at Texas A&M University have developed a metric that reflects the average price of energy in the United States, providing a way to optimize policies for a smooth and efficient transition to clean energy. The energy price index can forecast energy demands and prices, helping policymakers navigate the evolving energy landscape.
A team of researchers from Texas A&M University developed an organ-on-a-chip device that can model the disease physiology of patients with sickle cell disease. The device uses blood outgrowth endothelial cells to mimic a patient's vessel, allowing for personalized treatment and predicting disease progression.
Researchers at Texas A&M University discovered that cytisine reduces dopamine neuron loss in females, providing potential evidence for treating Parkinson's disease. The protective effect of cytisinex occurred only in female animal models, and combining it with estrogen produced a stronger effect.
A Texas A&M University study analyzed over 10,000 students in four introductory physics courses, concluding that male students do not consistently outperform female students. The research found statistically significant differences in exam performance within one course, but no persistent differences across exams or final grades.
Researchers at Texas A&M University have developed a new oxide dispersion strengthened (ODS) alloy with superior performance for use in fission and fusion reactors. The alloy is able to withstand temperatures up to 400 displacements per atom, making it one of the strongest ODS alloys developed in the field.
Researchers at Texas A&M University discovered evidence of human settlement in the Bahamas around 1200-1300 A.D. using charcoal deposits from human fires thousands of years ago. The new settlers dramatically changed the landscape, leading to increased deforestation and loss of native species.
A first national study found that rural Americans were less likely to wear face coverings in public and work from home compared to their urban counterparts. However, some factors such as age, education level, and income influenced the likelihood of following COVID-19 prevention guidelines.
A 4.4 million-year-old skeleton could show how early humans moved and began to walk upright, according to new research led by a Texas A&M University professor. The study found evidence of an 'evolutionary jump' between the hand of Ardi and all later hominin hands, including that of Lucy's species.
Researchers at Texas A&M University have developed an algorithm that uses reinforcement learning to automate the prediction of subsurface environments. The algorithm accurately forecasts oil and gas reserves by providing feedback on rewards and penalizing unfavorable predictions.
A research team from Texas A🌍 University and The University of Texas Medical Branch has identified a potential drug to treat SARS-CoV-2 using the FDA-approved heart medication bepridil. The study suggests that bepridil shows significant effectiveness in interfering with SARS-CoV-2 entry into human cells.
A new method was developed to investigate how Helicobacter pylori locates its target in the stomach. The technique successfully reported the probability of clockwise rotation in H. pylori and showed similarities with E. coli's flagellar control mechanism. This could lead to better understanding of chemotaxis and potential dietary inter...
A study published in Food and Chemical Toxicology found that some energy drinks have adverse effects on the muscle cells of the heart. Cardiomyocytes exposed to these beverages showed an increased beat rate and other factors affecting cardiac function.
Researchers at Texas A&M University have shown that existing water purification plants can effectively remove nearly all enveloped viruses from drinking water. Using a coronavirus surrogate, they found that coagulation reduced viral quantities by 99.999%, meeting EPA regulations.
Researchers at Texas A&M University developed a deep-learning algorithm that can denoise images to reveal otherwise invisible details. The algorithm, called global voxel transformer networks (GVTNets), uses adaptive receptive fields to capture information in the overall image structure.
Researchers at Texas A&M University found that worker attitudes towards procedure utility and quality are crucial in preventing incidents. The study suggests that procedures must be both effective and useful for workers to use them correctly, contradicting the traditional 'control paradigm' approach.
A study by Texas A&M University researchers investigated the role of metabolites in melanoma growth and spread. The team found significant differences in metabolite amounts between primary melanoma and surrounding tissues, suggesting that these substances may be responsible for tumor initiation and maintenance.