A new analysis examines how Chile's feminist movement evolved in response to the country's enduring inequality, particularly gender inequality. The study highlights the movement's impact on mass protests and the writing of a new constitution, with key findings including increased feminist participation and intersectional perspectives.
A new study by Carnegie Mellon University found that veterans who received emergency treatment at VA hospitals had a 20% lower mortality rate compared to those treated at non-VA hospitals. The survival advantage was consistent across different patient groups, including men, women, age, and pre-existing conditions.
The Commission on the North American Opioid Crisis recommends banning direct marketing to prescribers and curbing industry influence on medical education. The group also suggests standardizing addiction care within health systems and improving access to medication-assisted treatment.
A new framework, known as the Character Lens perspective, has been developed to account for patterns in individuals' understanding of and approach to ethical choices. This framework acknowledges the significant role of moral character in influencing how people perceive the world and make decisions.
A new analysis by Carnegie Mellon University researcher Akshaya Jha finds that risk aversion drives the purchasing of coal primarily from long-term contracts, resulting in premium prices. The study estimates that if power plants purchased all their coal from the spot market, annual aggregate cost savings would be $2.9 billion on average.
A new chapter explores how bringing arts to STEM fields can help students explore their interests and understand representation in children's literature. The exercise, which paired picture book creation with first-year writing lessons, led to changes in students' views on diversity and inclusion.
Researchers developed a mathematical model to understand the complex dynamics behind shifting social trends, including baby name popularity. The study found that social networks play a critical role in shaping cultural trends, leading to unpredictable outcomes such as declining Emily popularity and rising Emma names.
A study found that children's books often feature gendered language, with female protagonists associated with affection and school, while male protagonists are linked to professions and tools. This can lead to children learning about their own gender biases before others.
A new study by Carnegie Mellon University estimates that current regulatory analyses of air pollution significantly understate mortality costs among racial minorities. The study found that using race- and ethnicity-specific data increases premature mortality estimates related to PM2.5 from pollution exposure, with a $100 billion annual...
A new study found that news media amplified rather than rectified misleading health information from TV personality Dr. Oz, resulting in the further spread of misinformation. The researchers called for government oversight to lessen the risk of spreading inaccuracies.
A study found a significant increase in requests for anti-racism books and materials following police brutality events and BLM protests, particularly among teachers of younger students. The demand for inclusive curriculum materials also rose sharply, with over $3.4 million worth of books acquired for half a million students.
A recent study published in Nature Machine Intelligence challenges the long-held assumption that accuracy and fairness are mutually exclusive in machine learning. Researchers found that optimizing models for accuracy does not necessarily compromise fairness, particularly when adjustments are made to data, labels, and scoring systems.
Researchers at Carnegie Mellon University found that agencies can extract more rent from a winning bidder when negotiating contract terms, reducing the benefits of drawing additional bidders. The study suggests allowing agencies some discretion to use their knowledge of the supply side can reduce procurement costs.
A new study aggregates evidence from experiments on performance incentives globally, finding that men and women respond similarly to rewards for achieving performance objectives. The study suggests that performance pay boosts productivity for both genders across various contexts and program designs.
A new study by Carnegie Mellon University researchers found that Airbnb units cause a mild decrease in long-term rental supply, including affordable housing, while expanding the rental market. The study suggests a new tax to alleviate resulting inequities and maintain social equality.
A new algorithm developed by Carnegie Mellon University researchers offers a powerful tool for illustrating genome folding in cell nuclei. The Higashi algorithm analyzes chromatin interactions using single-cell Hi-C technology, revealing detailed variations in genome organization from cell to cell.
A team of researchers at Carnegie Mellon University has discovered how the brains of advanced physicists organize highly abstract scientific concepts. They found that physicists' brains group concepts into measureable versus immeasurable size, and that these patterns are organized separately in their brains. This study provides insight...
Researchers at Carnegie Mellon University have found a way to make deep brain stimulation (DBS) more precise, resulting in therapeutic effects that outlast what is currently available. The new protocol uses short bursts of electrical stimulation to target specific neuronal subpopulations, providing longer-lasting benefits.
Research at Carnegie Mellon University shows active learning methods using interactive activities, discussions, feedback, and AI enhance academic performance compared to traditional lectures. Effective methods also provide emotional and social support for students.
A new algorithmic approach predicts strong leaders by analyzing shared traits and attributes associated with effective leadership. The study identifies liberators and explorers as the most effective leaders, while media celebrities are seen as lacking in leadership qualities.
A new unsupervised machine learning algorithm, B-SOiD, developed by Carnegie Mellon University researchers makes studying animal behavior more accurate and efficient. The algorithm identifies patterns in an animal's body position to discover behaviors, removing human error and bias.
Scientists at Carnegie Mellon and University of Washington are developing new software platforms to analyze the Legacy Survey of Space and Time (LSST) dataset. The open-source platforms will enable researchers to make sense of big data and address fundamental questions about the universe, such as dark matter and dark energy.
The class utilizes the Emerald Cloud Lab, an automated science facility, allowing students to replicate experiments with nucleic acids and understand concepts of a cloud lab. This approach reduces error and increases reproducibility compared to traditional laboratory settings.
A study finds that local perceptions of COVID-19 risk often don't align with national infection rates, leading to inconsistent public behavior. The research suggests that community-level organizations and high-level institutions need to work together to provide accurate information and support individuals in understanding the risks.
A study analyzing online music streaming data for top songs in 60 countries found that COVID-19 lockdowns led to a significant decline in music consumption, with reductions in commuting time correlating strongly with the shrinkage. Consumption via video platforms saw an unprecedented surge during this period.
Researchers found that text messages with ownership language increased appointment rates by 84.33% and accelerated vaccination schedules at UCLA Health. The study involved two randomized controlled trials with over 87,000 participants and demonstrated the effectiveness of text reminders in overcoming barriers to vaccine scheduling.
Cannabis legalization would reduce arrests and address disparities, but also pose challenges to social equity efforts. Expunging convictions for BIPOC individuals could benefit hundreds of thousands, while promoting equity in the cannabis industry might help a few dozen.
Researchers at Carnegie Mellon University developed an algorithm that can assist autonomous vehicles in navigating tight spaces and unknown driver intentions. The algorithm was trained on simulation data and found to perform better than current models in handling complex scenarios like bi-directional lane usage.
Researchers analyze case studies to develop a flexible decision support model for split liver transplantation, considering fairness and efficiency metrics. The study suggests oscillating between splitting and not splitting based on patient health and demographics.
A new study found that rudeness can have deadly consequences by increasing negative emotions and leading to biases in judgment. Researchers suggest that organizations can take steps to reduce rudeness by training employees to use perspective-taking and information elaboration skills.
A team of researchers developed a method to study how parents adjust their language to match their child's speech development. They found that caregivers have an incredibly precise knowledge of their child's language and use this information to fine-tune the linguistic input they provide.
A team of researchers at Carnegie Mellon University developed a machine learning system that identified supportive tweets from Pakistan about India during the COVID-19 surge. The system successfully detected positive tweets 83% of the time, significantly improving upon existing methods.
A new study by Carnegie Mellon University researchers suggests that storing both oil and gas on-site at power plants can reduce dependence on gas grids and mitigate fuel shortages. This could reduce costs for electric customers in New England, where gas supply constraints have led to frequent power plant outages.
A new algorithm called MolDiscovery uses mass spectrometry data to predict the identity of unknown substances, helping scientists avoid rediscovering known compounds and save time and millions of dollars. The algorithm could accelerate the discovery of novel natural products that could lead to the development of new drugs.
A new article analyzes Chile's transition from dictatorship to democracy between 1990 and 2019, highlighting the role of social movements in expanding democracy. The authors argue that Chile's political system became illegitimate, providing space for various social movements, including feminist, student, and indigenous rights movements.
A new model by Carnegie Mellon University economist Deeksha Gupta proposes a scenario where large lenders boost high-risk activity to prop up housing prices. This dynamic can stabilize housing prices but also increase financial fragility through higher defaults during busts.
The COVID-19 pandemic has threatened Chile's defined contribution pension system, undermining its financial foundation and exposing it to political risk. The government's response to the crisis, including emergency withdrawals from pension fund savings accounts, has set a dangerous precedent for using retirement funds for basic needs.
Researchers at Carnegie Mellon University developed a model that enables drones to capture videos evoking specific emotions, such as excitement or calmness, through camera angles and flight paths.
Researchers at Carnegie Mellon University have developed a machine learning platform that can identify natural product drugs for treating various ailments. The platform, called NRPminer, uses genomic and metabolomics data to detect promising natural products, including four novel compounds with potential antimalarial properties.
A new article analyzes seven books that discuss health inequalities in Latin America and the Caribbean, highlighting regional disparities in healthcare access. The author calls for a universal approach to health care based on equity and inclusion to address these inequalities.
Researchers at Carnegie Mellon University have developed an app called Significant Otter, which sends animated otters representing emotions and activities based on a person's heartrate. The app allows couples to communicate more authentically and easily during physical distancing.
Researchers used meta-analytic methods to evaluate data from 22 studies involving 5,349 individuals in 1,356 groups, finding strong support for a general factor of collective intelligence. Group collaboration processes were twice as important for predicting CI than individual skill, and group composition, including female proportion an...
Researchers argue that companies must provide explanations for algorithmic decision-making processes, as this is an ethical obligation apart from performance impact. They propose that companies can achieve transparency while maintaining trade secrets by hiring data interpreters or implementing explainable AI.
Researchers from Carnegie Mellon University developed Segcache, a system that improves cache efficiency by up to 60% by grouping similar items and removing expired ones. The system was tested on Twitter's production system and has been incorporated into its infrastructure.
A team of Carnegie Mellon University researchers has developed a new extension called Skeema, which helps users group their browser tabs into tasks and organize, prioritize, and switch between them. This tool addresses the issue of tab overload and improves online productivity by merging tab management and task management in a browser.
Researchers at Carnegie Mellon University have created flat-packed pasta that forms into familiar shapes when cooked, offering a sustainable alternative to traditional pasta. The pasta's unique grooves control its shape, allowing for reduced packaging, storage, and transportation needs.
A new study by Carnegie Mellon University finds that an AI algorithm can mitigate racial disparities among Airbnb hosts, but only if more Black hosts adopt it. The study shows that the algorithm narrows the revenue gap between White and Black hosts, but this effect is limited by the extent to which the tool is adopted.
Researchers at Carnegie Mellon University have developed a technique using machine learning and high-performance computing to simulate complex universes in less than a day. The approach enables high-resolution cosmology simulations, advancing physics research and providing new insights into the universe's mysteries.
Researchers adapted an algorithm to identify similarities in escort ads, highlighting common parts and indicating potential human trafficking activity. The InfoShield algorithm outperformed other algorithms at identifying trafficking ads with 85% precision, flagging them without false positives.
Researchers use genetic analysis to determine tarantulas' ancient ancestry, tracing them to the Americas around 120 million years ago during the Cretaceous period. They found that these spiders were not limited to sedentary burrows, but also exploited ecological niches and displayed surprising dispersal capabilities.