Researchers found that the New York Bight is susceptible to continental shelf seiches, which can cause unanticipated flooding hours after storms pass. This phenomenon was mistakenly identified as tsunamis in 1938 and 1944, and recent smaller post-storm resurgences occurred in 2020.
Researchers at Stevens Institute of Technology discover that mature gut cells can revert to cancer-driving stem cells, explaining why colorectal cancers are resistant to treatment. This finding suggests pathways for effective therapies and sheds light on the complex cellular environment of the intestines.
A new algorithm called MEERKAT reduces the amount of data shared between large language models, boosting performance and reducing power consumption. By sharing only 0.1% of the model's parameters, MEERKAT shrinks communications by over 1000 times.
A team of physicists has discovered that atomic clocks can probe time in a way that reveals its quantum nature. By manipulating the vacuum itself, they created squeezed states that exhibit subtle quantum behavior, allowing a single clock to measure how it ticks both faster and slower simultaneously.
The study developed a novel framework that tracks digital communities over time, analyzing how online groups emerge and disappear. Researchers found that social media interactions can create echo chambers and increase societal polarization.
Researchers developed an algorithm to optimize truck-drone aid delivery, focusing on minimizing the time difference between earliest and latest deliveries to ensure fairness and even distribution of aid. The system uses evolutionary algorithms to find the best solutions and can be adjusted in real-time to accommodate changing needs.
Researchers found that older adults who are afraid of falls employ adaptive strategies, such as limiting side-to-side body sway or swaying more slowly, to stabilize during turns. This suggests that these slower movements may not be indicative of poor balance but rather a means to stay steady and safe during complex maneuvers.
Physicists Igor Pikovski and Jack Harris are developing a superfluid-helium resonator to detect individual gravitons from astrophysical gravitational waves, pushing the field of quantum gravity forward. The experiment aims to immerse a gram-scale cylindrical resonator in a superfluid-helium container and use laser-based measurements to...
Researchers use AI to analyze data from over 200 chemicals, predicting toxicity for hundreds more disinfection byproducts. The model highlights potential risks of trihalomethanes and haloacetic acids in tap water.
Researchers investigated how AI can aid clinicians in analyzing medical images and found that while AI improves diagnostic accuracy, it also requires careful consideration of explanations and trust levels. The study's findings highlight the importance of balancing ease of use with utility in designing AI systems for clinical applications.
Scientists have developed a reduced model to simulate seismic waves caused by earthquakes, enabling faster and more accurate assessments of earthquake risks. This breakthrough allows for better understanding of the subsurface composition and improved prediction tools.
A new study analyzed three scenarios for cleaning up space junk, including controlled reentry and recycling in space. The uncontrolled reentry method is the cheapest, but poses unknown risks of debris landing on Earth. Recycling in space can save energy by reusing aluminum from spacecraft.
Research found that companies with strong corporate social responsibility are more likely to be forgiven by employees for breaches, as they are seen as conscientious and socially responsible. This can help mitigate the negative consequences of psychological contract breach during times of crisis.
Scientists have made significant progress in understanding turbulent airflow at high speeds, shedding light on the feasibility of hypersonic flight. According to a recent study published in Nature Communications, turbulence behavior at Mach 6 is remarkably similar to incompressible flow, suggesting that planes may not require an entire...
Researchers studied how large language models (LLMs) operate and found they use built-in patterns for tracking word positions to form internal beliefs and make social inferences. By understanding these patterns, it may be possible to make LLMs more efficient by activating only a subset of parameters.
Researchers built a statistical model to analyze how politicians position themselves on social media, finding three communities of senators, Democratic congresspeople, and Republican congresspeople. The study suggests that tweeting at senators may be a strategic move for politicians seeking to appear more senatorial to voters.
Researchers at Stevens Institute of Technology found that flexible schedules can lead to heightened relationship conflicts within teams, negatively affecting customer service. However, granting task i-deals can have beneficial effects on team performance by tailoring tasks to each member's strengths and interests.
Researchers analyzed over 250,000 CEO posts and 1.6 million user mentions to find that consistency, positivity, and diversity are key factors in achieving social media celebrity status. CEOs who achieve this status are more likely to gain visibility in traditional media, amplifying their reach and influence.
A multidisciplinary study by Stevens researchers finds that perceived lack of control over one's circumstances can lead to quiet quitting. However, the researchers also suggest that quiet quitting may not be inherently negative, as employees are still performing their duties within their job requirements.
Researchers show that quantum networks can probe the interplay between quantum theory and gravity, opening the door to test if quantum mechanics changes in curved spacetime. Quantum effects are distributed across network nodes using entangled W-states, enabling a test of quantum theory on curved spacetime.
Researchers create a distributed atomic processor clock quantum network to study the interplay between quantum theory and curved space-time, exploring how gravity affects quantum mechanics. The team demonstrates that superpositions of atomic clocks can pick up different time-flows in superposition.
Researchers have successfully developed a method to probe how quantum theory and curved space-time intertwine, using quantum networks of clocks. This breakthrough allows for the first test of this kind, exploring unique effects such as time dilation near planets.
Researchers at Stevens Institute of Technology have developed a groundbreaking formula that describes the relationship between a quantum object's wave-ness and particle-ness. This breakthrough enables more precise imaging techniques, such as quantum imaging with undetected photons, which can accurately map the shape of an object even i...
Researchers discovered AI surrealism, cultural bias, logical fallacy and misinformation in image-generated content. Developing standardized language to describe these flaws will help train AI to generate images more accurately.
New simulations map Ida's effects fully for the first time, showing how damage and casualties could have been worse in parts of New York City. The team used a respected modeling system to investigate the unusual nature of Ida and its potential impact on NYC.
Researchers at Stevens Institute of Technology created an AI architecture to flag unscientific claims in news reports on scientific discoveries. The team's LLM pipelines achieved about 75% accuracy in distinguishing between reliable and unreliable news reports, with potential applications in browser plugins and rankings of publishers.
Researchers found that iron powder was 26 times more effective than activated carbon in removing PFOS from water, even when it rusted. The unexpected findings have the potential to develop large-scale removal technologies.
Researchers at Stevens Institute of Technology used ChatGPT to analyze seizure semiology descriptions and accurately localize epileptogenic zones. The results show that ChatGPT outperformed epileptologists in identifying common seizure locations but provided more accurate responses for rare regions.
Stevens Institute of Technology researchers found that tightly connected communities with high levels of community cohesion are more resilient to extreme events. However, intense stress from threats can lead to decreased resilience and even community dissolution. Emotion intensity plays a crucial role in community cohesion.
Researchers at Stevens Institute of Technology have created a new approach to personalize nutritional advice by analyzing food types. The data-sparse model accurately predicts individual glycemic responses with no need for blood draws or stool samples.
A new study from Stevens Institute of Technology reveals that solar-powered homes are resilient during summer heat waves but vulnerable during winter storms. Fully electrified homes, on the other hand, are nearly three times more susceptible to winter outages. The research uses AI tools to analyze energy patterns and identify vulnerabi...
Researchers from Stevens Institute of Technology found that low-cost disinformation attacks could disrupt urban transit networks, causing widespread chaos and economic harm. A single brief station closure can lead to cumulative delays of up to 16,441 minutes for impacted passengers.
According to a recent study published in The Journal of Nutrition, over 90% of pregnant individuals are potentially failing to get enough iron, vitamin D, or vitamin E from the food they eat. Almost two-thirds were found to be getting insufficient dietary folate, a critical nutrient that helps prevent birth defects.
Researchers at Stevens Institute of Technology have developed a method to enable AI to measure surfaces, opening up applications in medical diagnostics, manufacturing quality control, and more. The system uses photon-firing scanning lasers and AI models trained to detect speckle noise, allowing for accurate surface topography analysis.
A new study from Stevens Institute of Technology found that 'Jekyll-and-Hyde' leadership takes a sharp toll on employees' morale and job performance. When supervisors alternate between abusive and ethical behavior, it creates uncertainty and erodes confidence in the supervisor's capabilities.
During recent hurricanes Harvey, Imelda, Laura, and Florence, social media buzz focused on politics, pets, and human-interest stories, drowning out important public safety messages. Researchers found that descriptive messaging about storms outperforms safety messages in reaching a broad audience.
Researchers developed two new AI-powered smartphone apps to spot depression warnings in pupils' dilation, unconscious facial expressions, and head movements. The systems showed 76% accuracy in detecting depressed states, outperforming existing smartphone-based detection platforms.
Researchers propose a solution to detect single gravitons, the quantum building blocks of gravity, using an acoustic resonator and improved energy state-detection methods. The team's experiment, similar to the photo-electric effect, relies on observing quantum jumps in material to deduce graviton absorption.
New research from Stevens Institute of Technology shows that healthcare professionals view patients more negatively if they share inaccurate or unreasonable health-related beliefs. The study surveyed over 350 patients and 200 physicians, finding little difference in responses between doctors and laypeople.
A team of chemists discovered that cyclopropanation reactions can take the scenic route, producing intricate molecular structures and unexpected side-reactions. Advanced techniques revealed a complex network of forking chemical pathways, showcasing the need for open-minded research and consideration of all possible side-reactions.
A new study found that employees who prioritize career advancement are strongly affected by abusive leadership, while those prioritizing job security remain unaffected. Abusive supervisors can stifle employees' initiative and work to improve business practices.
Researchers developed an AI tool that can detect valvular heart disease with 93% sensitivity and 98% specificity. The tool analyzes audio data from a short burst of sound vibrations using a contact microphone and neural networks, allowing for quick identification of five different valvular diseases.
New research published in Cognitive Research: Principles and Implications suggests that small amounts of surplus information can negatively impact decision-making. When presented with complex causal models, people's ability to make good choices deteriorates as they receive more information than necessary.
Researchers at Stevens Institute of Technology have developed more accurate nowcasting algorithms to predict short-term weather forecasts. The study found that probabilistic models are highly accurate in predicting both long- and short-term rainfall events, while deterministic models are better suited for extremely short-term projections.
Researchers at Stevens Institute of Technology use a 350-year-old mechanical theorem to explain complex behaviors of light waves, showing a direct relationship between entanglement and polarization. This connection enables the deduction of hard-to-measure optical properties from simpler light intensity measurements.
A new online protocol is being developed to record people's thoughts while answering trick questions, revealing insights into cognitive quirks and decision-making. The tool aims to decrease the time required for think-out-loud experiments, allowing researchers to reach a broader population and gain greater confidence in their results.
Researchers at Stevens Institute of Technology created a digital platform to enable organizations to share satellite data, accelerating earth science research. The New Observing Strategies Testbed (NOS-T) facilitates complex missions like wildfire spotting and landslides prediction without revealing private information.
Researchers at Stevens Institute of Technology have developed a drug delivery system using gold nanoparticles to target tumors with remarkable precision. The system reduces the potential for debilitating side effects by delivering drugs selectively to tumors, allowing for lower quantities and potentially life-saving treatments.
In well-structured teams, favoritism by leaders leads to decreased performance, while in less clearly structured teams, it improves coordination and overall performance. This research offers guidance for managers on how to optimize team dynamics and send clear signals about roles within the team.
Researchers studied Ingenuity's historic flights on Mars to calculate dust cloud size and mass. The results supported engineering models, paving the way for future extraterrestrial rotorcraft missions.