A peptide nucleic acid-based gene editing technique has been identified as a crucial part of the gene editing toolkit, offering an alternative to CRISPR-Cas systems. The technique, developed by Carnegie Mellon's Danith Ly and Yale University's Peter Glazer, allows for in vivo gene editing using nanoparticles.
Researchers discovered that transfer RNAs (tRNAs) play a crucial role in controlling the activation of the stringent response pathway. The MurM enzyme, involved in cell wall synthesis, acts as a quality control manager to ensure accurate translation and prevent toxic tRNA buildup.
Researchers found that non-visual communication methods with better audio cues, such as prosodic synchrony, improve collective intelligence and reduce inequality in speaking turns. Video conferencing can actually dampen collective intelligence by disrupting vocal synchrony.
A study found that COVID-19 mobility data used to inform public health responses can disproportionately harm older and minority groups. The researchers assessed the validity of SafeGraph data, which contains information from approximately 47 million mobile devices in the US, but lacked demographic information such as age and race.
A new analysis by Carnegie Mellon University professor Jonathan Caulkins explores the effects of reduced production costs on cannabis and opioid use. Sharp declines in prices may alter consumption patterns and lead to changes in drug markets, including reduced violence and disruption of criminal organizations.
The study analyzed subtitles of 2,000 films from the past seven decades to find consistent biases in Bollywood and Hollywood movies. Bollywood films consistently depicted fair skin as a beauty standard, while male characters made up about 60-65% of all pronouns used.
A new study developed a transparent and reproducible machine learning tool, TL-Lite, to facilitate analysis of health information. The tool can be used in clinical forecasting, predicting trends and outcomes in individual patients, and is particularly useful for organizing clinical data into meaningful visualizations.
New research from Carnegie Mellon University reveals that wildfires can lead to more extensive cloud formation and intense storm development due to the chemical aging of particles emitted by these fires. This study's findings have significant implications for accurately modeling Earth's climate and how it may change in the future.
A new study found that diabetes patients who used mobile health apps had better health outcomes, including reduced blood glucose levels and increased exercise. The app also helped regulate health behavior and reduce hospital visits and medical expenses.
Researchers at Carnegie Mellon University tested AI-powered hate speech detection software on over 680,000 chess comments and found that 82% of flagged comments did not contain hate speech. The study suggests that words like 'black' and 'white' are triggering phrases for the classifiers.
A new study by Carnegie Mellon University researchers shows that a dynamic operating reserve demand curve (ORDC) construction improves reserve procurement and pricing in competitive wholesale electricity markets, particularly during hot and cold hours with heightened risk of generator forced outages.
Researchers found that curtailment priority on pipeline networks is the likely reason for most correlated failures, while firm contracts can reduce generator outages in certain regions. Switching to firm contracts may prevent fuel shortages at US power plants.
A new paper evaluates the PJM Interconnection, finding that extreme temperatures affect generator output and capacity requirements. Monthly procurement targets can reduce reserve margins and economic costs.
A team of researchers at Carnegie Mellon University found that people are more successful at identifying language associated with Republican speech than Democratic speech patterns. The study used machine learning to scan the Congressional Record and presidential debate corpora to isolate linguistic variation between the two parties.
A new mobile game that uses implicit learning significantly improved Indian children's food choices after playing. The study found that children who read more facts about healthy foods made healthier choices, while those reading unhealthy food facts chose unhealthier options.
Researchers found that 61% of surveyed university students were at risk of clinical depression during the pandemic, with disrupted physical activity emerging as a leading risk factor. Those who maintained their exercise habits had significantly lower risk of depression compared to those with decreased physical activity.
Researchers David Rode and Paul Fischbeck argue that decision sciences can play a crucial role in addressing the COVID-19 pandemic. They emphasize the importance of collecting accurate data on population infection rates to inform decision-making and policy development.
Carnegie Mellon University chemists have discovered that iodic acids can rapidly form aerosol particles in the atmosphere, driving cloud growth. This process has significant implications for climate change, as clouds play a crucial role in regulating Earth's temperature.
A recent study by Carnegie Mellon University researchers found that rescheduling drugs can lead to significant reductions in use and related harms. For over half of the reschedulings studied, use-related measures declined by at least 40 percent.
Researchers studied gift-giving dynamics in multi-giver settings and found recipients prioritize thoughtfulness over relative gift value. Gift givers incorrectly assume the recipient's focus is on comparative gift value, leading to unnecessary spending or skipping gift-giving occasions.
Research at Carnegie Mellon University reveals that certain bacteria can change their shape in response to antibiotic exposure, enabling them to overcome stress and resume fast growth. The study demonstrates how cell shape affects bacterial reproduction and survival, providing insight into the mechanisms of antibiotic resistance.
A NASA mission will test technologies for satellite swarms to operate autonomously in low-Earth orbit, setting the stage for thousands of small satellites working cooperatively. The V-R3x mission will deploy three CubeSats into polar orbit, exchanging radio signals and measuring distance between satellites.
A Carnegie Mellon University study suggests that Duchenne smiles may not be a reliable indicator of true happiness. Researchers found that smiling eye smiles were more closely related to smile intensity than emotional state, highlighting the need for more nuanced understanding of human emotions and facial expressions.
A new paper by Carnegie Mellon University researchers found that reentry of boomerang employees improves their compensation, satisfaction, and organizational commitment compared to matched internal hires. However, the researchers did not find a difference in performance ratings between boomerangs and internal hires.
Carnegie Mellon's Computer Science Academy will continue to provide a free online computer science curriculum for middle and high school students with the support of Amazon's $2 million donation. The program aims to bridge the equity divide in computer science education, serving over 1,200 schools and 22,000 students worldwide.
Researchers have developed a new technique for isolating parvalbumin-expressing neurons, which are linked to Parkinson's disease symptoms. The method uses Cre-specific nuclear anchored independent labeling and has been shown to detect changes in oxygen-sensing genes in diseased neurons.
A five-year, $10 million research effort will focus on understanding the three-dimensional structure of cell nuclei and its effects on cellular functions. Researchers aim to develop fundamental knowledge to provide insights into developmental disorders, aging, and other cell processes.
A new study published by researchers at Carnegie Mellon University found that extraneous images on reading pages can draw attention away from text, reducing comprehension in beginning readers. Streamlined illustrations improved reading comprehension scores in first- and second-grade students.
MoonRanger, a small robotic rover developed by Carnegie Mellon University, will search for signs of water at the moon's south pole. The rover is designed to explore at unprecedented speeds in both sunlit and dark conditions, and will use innovative technologies such as laser line stripes for night vision.
A new machine learning model accurately identifies children most at risk of lead poisoning, equitably targeting resources to prevent poisonings. The model is about twice as accurate as previous simpler models and considers various factors such as housing, economic status, and sociodemographic data.
The rapid expansion of COVID-19 research has led to an infodemic in scientific literature, underscoring the need for more accessible and transparent research publication. Experts propose combining human expertise with AI to summarize and collect research, while curating findings to ensure relevant and reliable information.
Researchers at Carnegie Mellon University have developed a new metric for evaluating how well self-driving cars respond to changing road conditions and traffic. The new metric, called streaming perception accuracy, balances reaction time and accuracy, allowing systems to optimize performance and reduce latency.
Researchers at Carnegie Mellon University are developing an AI-powered system to automatically identify buildings and assess damage using amateur drone videos. The system, called MSNet, can overlay masks on damaged areas and determine the severity of damage, enabling faster and more accurate damage assessments.
Carnegie Mellon University has received a $500,000 planning grant to develop AI research and interdisciplinary collaborations in astrophysics, subatomic physics, and biophysics. The university aims to promote cross-disciplinary interactions and encourage new collaborations to advance fundamental fields.
Carnegie Mellon researchers create large dataset capturing interaction between sound, action, and vision to improve robotic perception. The study found that sounds can help robots differentiate between objects and predict physical properties of new objects.
A new study at Carnegie Mellon University found that language biases against women can undermine their chances of advancing in science and tech. The research, published in Nature Human Behavior, suggests that linguistic associations may be causally related to people's implicit judgement of what women can accomplish.
Researchers warn that pandemic bias may hinder careers of scientists with caregiving responsibilities or those unable to travel due to the pandemic. The Carnegie Mellon team suggests actions to mitigate this bias, including supporting scholars, reviewing more articles and grants, and providing leniency for affected colleagues.
A Carnegie Mellon-developed navigation system, SemExp, uses machine learning to train robots to recognize objects and understand their locations in a home. This enables the system to think strategically about how to search for something, making it more efficient than classical robotic navigation systems.
Researchers at Carnegie Mellon University developed a system that enables robots to pick up transparent and reflective objects using a color camera and depth images. The system outperforms previous methods in grasping these challenging objects, with high success rates in both clean and cluttered environments.
Research by Sheldon Cohen suggests that interpersonal stressors during self-isolation can increase vulnerability to upper respiratory viruses and potentially COVID-19. Social integration and support offer a protective shield against respiratory infection and illness.
Researchers at Carnegie Mellon University have developed a system that combines iPhone videos to create 4D visualizations, allowing viewers to watch action from various angles. The method uses convolutional neural nets and can be applied to a wide range of scenes, including those shot independently from different vantage points.
A team of researchers at Carnegie Mellon University has developed an automated method for making communications more polite, using a large dataset of labeled sentences. The system can restructure nonpolite directives or add words to make them more well-mannered, while maintaining the original meaning.
A new study found that ad blockers can help websites target specific audiences with less intrusive ads, benefiting both platforms and users. The study suggests that allowing ad blockers can lead to a more efficient market, resulting in better-quality content for users.
Researchers at Carnegie Mellon University developed an efficient new way to quickly analyze complex geometric models by using Monte Carlo methods. This approach eliminates the need to divide shapes into meshes, reducing errors and increasing computation speed.
A multi-institutional research team found that humans and non-human primates can represent recursive sequences, suggesting a universal cognitive ability. The study's findings dispel the long-held belief that only humans possess this capacity.
A new method developed at Carnegie Mellon University has improved the accuracy of tracking systems for autonomous vehicles. By training on larger datasets and detecting its own errors, the system can learn to do the right thing without being told what it is.
A study by Carnegie Mellon University found that displaying fraudulent reviews alongside nonfraudulent ones increases consumer trust in review platforms. Consumers tend to trust information from platforms that display suspicious reviews, especially when they are uncertain about product quality.
Researchers at Carnegie Mellon University developed a perception system that considers visibility to improve object detection in self-driving cars. The method outperformed previous techniques, with improvements of up to 18.4% for buses and 16.7% for trailers.
A new study found that equity analysts place greater emphasis on early impressions and experience a strong first impression bias that influences their forecasts for up to six years. Negative first impressions had roughly double the economic effect on forecasts compared to positive ones, leading to more pessimistic forecasts.
The Penrose tool enables users to create diagrams by typing mathematical expressions, empowering anyone to translate abstract ideas into beautiful illustrations. Researchers developed a special programming language that mathematicians can easily learn, allowing for high-quality visualizations.