Research on making sense of scientific and medical data. Covers AI error-correction, single-cell search engines, optical computing, and measurement reliability.
Researchers successfully manipulated magnets at the atomic level using ultrashort laser pulse excitation, reducing magnetic switching time by 1000 times. This breakthrough enables novel means to control magnetism, essential for efficient data processing technologies.
A nationwide COVID-19 analysis in Argentina found increased risk of death or ICU admission associated with older age, male sex, coma, seizures, and underlying conditions. Over 200,000 patients were analyzed, revealing key clinical characteristics and outcomes.
Despite a 2015 initiative to improve access, Mexico's poorest residents often go without painkillers, while pharmacies in poorer areas are less likely to carry them due to cost. The study also found that opioids may be diverted to the US, exacerbating its opioid epidemic.
A large-scale survey of over 80,000 adolescents reveals that non-school friendships are more strongly associated with deviant behaviors and alcohol use compared to in-school friendships. Participants with non-school friends also tended to be engaged with their schools and play central roles in their peer groups.
A new study reveals common seismological equipment is vulnerable to cyberattacks, posing risks to data collection and processing. Seismic networks may be exposed to security breaches if devices use non-encrypted data, insecure protocols, and poor user authentication mechanisms.
A new algorithm uses artificial intelligence to automate electrocardiogram recordings, improving efficiency and accuracy in heart disease diagnosis. This innovation has the potential to streamline clinical workflows and enhance patient care.
Researchers found that day-to-day temperature variability reduces economic growth by an average of 5 percentage-points. Economies in low-income regions are more strongly affected, while those with higher incomes are better prepared due to familiarity and resilience.
Researchers from HSE University developed a new method to process MEG data, enabling cortical activation areas with higher precision. This improvement allows for better diagnosis of neurological disorders and preparation for brain surgery.
Researchers found that mortality in cage-free flocks decreases as managers gain experience and knowledge. Mortality rates are not inherently higher in cage-free systems, but rather decline with improved management and optimized genetics.
Research suggests that Immigration and Customs Enforcement (ICE) early activities in North Carolina negatively impacted birth weights among babies born to immigrant parents. The study found a significant decrease in birth weight after the uptick in ICE activity.
Hiring professionals often feel compelled to discriminate against specific groups to ensure a 'good fit' with colleagues, according to research. Around 28% of clients make overt requests to avoid hiring from diverse backgrounds, revealing deep-seated biases in the hiring process.
A new root-knot nematode species has been discovered on grapevines in Yunnan province, China. The Meloidogyne vitis sp. nov. species is believed to seriously damage grape production, highlighting the need for further research and monitoring.
Researchers have discovered a rare 'mud carapace' treatment on an Egyptian mummy, revealing the mummy and its coffin did not originally belong together. The analysis suggests the body is older than the coffin, with the mud carapace providing restorative and potentially elite funerary practices.
Researchers analyzed 94 million tweets to detect early signs of depression and suicidal thoughts during the pandemic. The study found a significant jump in depression levels at the start of the outbreak and a notable increase in users' social media time during lockdowns.
A new study found that Airbnb has a positive association with property price increases and rental rates, particularly in areas with fewer owner-occupiers. The research suggests that the presence of an Airbnb property can contribute to an increase in housing prices and rental rates in local neighborhoods.
Researchers are developing fast, energy-efficient optical hardware alternatives to meet AI's data processing challenges. The PHOENICS project aims to create photonic neuromorphic processors that inspire from the human brain, providing unparalleled computing power and energy efficiency.
A digital-to-analog converter has been developed without leaving the optical domain, enabling high-speed data processing with low power consumption. This innovation has the potential to advance next-generation data centers, 6G networks, artificial intelligence and more.
A study of 186,779 discharged patients found that trauma surgeons' communication has a significant effect on overall satisfaction. Physician communication ranked as the number two factor for trauma and emergency surgery patients, with a 12% boost in satisfaction.
Female Bengalese finches exhibit a lifelong preference for their father's song compared to other birds. In contrast, male finches lose this preference as they mature, suggesting sex-specific differences in vocal learning and preference.
Researchers at KIST achieved a pulsed-laser repetition rate of 57.8 GHz by inserting a graphene resonator into a fiber-optic oscillator. This breakthrough overcomes the MHz-level limit and paves the way for significant increases in data transmission and processing speeds.
A study analyzing ischemic stroke data from 8,900 patients reveals that female patients have higher crude mortality rates but equal survival rates after controlling for comorbidities. The researchers found no evidence of a sex disparity in stroke recurrence or composite outcomes.
A nationwide study, INSPIRE, aims to track the long-term outcomes of COVID-19 infections on various age groups over a two-year period. Researchers will examine COVID-19 survivors' health care utilization, clinical events, and physical and mental function.
Astronomers confirm that a recent burst of high-energy light was triggered by a magnetar located in a neighboring galaxy. The finding confirms long-held suspicions about the connection between gamma-ray bursts and magnetar activity.
Researchers at UMBC developed an AI technique to quickly analyze extensive Arctic ice data, enabling faster prediction of climate change trends. This tool allows scientists to make more accurate predictions on sea level rise and melting rates.
A team of Stanford researchers has designed a system that can run AI tasks faster and with less energy by harnessing eight hybrid chips, each with its own data processor built right next to its own memory storage. The Illusion System integrates the chips into one energy-efficient AI-processing engine.
Research reveals a strong relationship between anthropogenic heat flux and extreme temperature events, including both heat and cold extremes. The study, conducted in Beijing, China, uses advanced modeling techniques to analyze the impact of urbanization on temperature records.
A new study from Bentley University finds that emerging public biotech companies generated over $100 billion in shareholder value despite a high failure rate. The research compares the financial performance of biotech and non-biotech companies with similar IPO timelines, revealing comparable success rates and economic value creation.
Ridesourcing companies Uber and Lyft's arrival in cities leads to a significant increase in vehicle ownership, with car registrations per capita rising by 0.7% on average. This effect is more pronounced in car-dependent cities and areas with higher income and fewer children, where transit use also decreases.
Researchers developed a new approach using light-based processors to accelerate matrix-vector multiplications in neural networks. The photonic chips achieve parallel calculations using multiple wavelengths of light, enabling complex mathematical tasks to be processed at high speeds and throughputs.
Researchers developed photonic processors to process information rapidly and in parallel, enabling complex mathematical tasks at fast speeds. These chips use wavelength multiplexing for highly parallel data processing.
A new NIH grant will support advanced statistical models for analyzing large-scale metabolomics data sources, aiming to better understand the links between metabolic action and chronic health conditions.
Preliminary data from the non-powered U.S. Phase 2 study showed that orally-administered opaganib was safe and demonstrated consistent trends of greater improvement in reducing oxygen requirement across key primary and secondary efficacy outcomes. The opaganib-treated arm demonstrated a greater improvement in reaching room air, reducti...
A study analyzing Fitbit data and self-reported symptoms found that COVID-19 symptoms lasted longer and peaked later than those with the flu. The researchers also identified characteristic symptoms of COVID-19, such as shortness of breath and coughing, which were not present in individuals with the flu.
Researchers at Swiss Federal Laboratories for Materials Science and Technology have successfully created a multilayer system where two different types of skyrmions coexist at room temperature. This breakthrough enables the potential use of skyrmions in ultrafast data processing, promising an extremely compact form of data storage.
A systematic review of smartphone fitness apps and wearable activity trackers found they increase physical activity levels in healthy adults by an average of 1850 steps per day. The interventions that were most effective included text-messaging prompts, tailored features, and goal-setting tools.
Researchers at Purdue University have developed a system to analyze real-time visual data from millions of network cameras, providing insights into consumer behavior, economic impacts and misinformation in news media. The technology may help reduce false information and validate facts, enabling safer journalism.
Researchers from Universidad Carlos III de Madrid and UNED used big data and physics research to analyze Beethoven's metronomic marks. The study found that conductors tend to play slower than indicated, with a systematic deviation, which could be explained by the composer reading the metronome incorrectly.
Researchers at Texas A&M University are developing an advanced evaluation system that can interpret reservoir conditions in real-time using physics-enhanced machine-learning algorithms. This system will enable oil and gas operators to make data-driven decisions quickly, maximizing production in areas with positive responses to fracturi...
Researchers found that California's winter precipitation projections are likely to be drier than expected due to a persistent error in climate models known as the double-ITCZ bias. This bias can lead to reduced winter precipitation, less spring runoff, and increased wildfire risk in the state.
A study published in Medical Care found that the mean doctor visit lasts 18 minutes, while the median is 15 minutes. The actual time spent with patients deviates from the schedule for over two-thirds of visits, with shorter appointments often running over and longer ones ending early.
A new model developed by MIT researchers shows that delaying state reopenings could have prevented over 100,000 infections in Texas and Florida. The model calculates the 'quarantine strength' of a region, reflecting its ability to keep infected individuals from infecting others.
Researchers at UC San Diego used wearable devices to detect fevers in participants with COVID-19, showing promise for an early warning system. The study collected temperature data from over 50 participants and demonstrated that wearables can identify fever peaks more accurately than traditional spot checks.
A proof-of-concept study found that trained dogs can detect COVID-19 infected individuals by smelling their axillary sweat samples. The researchers used a total of six detection dog teams to identify positive participants with high accuracy.
Researchers at UTHealth analyzed data from over 18,000 out-of-hospital cardiac arrests to identify disparities in automated external defibrillator use. Hispanic/Latino and black neighborhoods showed significantly lower rates of AED use compared to non-Hispanic/Latino white communities.
During the 2018 eruption of K?lauea Volcano, Hawaiian researchers leveraged pre-assembled stations with virtual machines to continue monitoring data despite instrument destruction and network failures. This enabled quick deployment and rerouting of data to scientists and decision-makers.
Mathematical analysis reveals optimal Thoroughbred horse racing speed by analyzing track data and considering factors such as course length, surface type, and weather conditions. The study provides insights into the physical limitations of horses and the importance of course-specific factors in determining optimal speed.
Researchers used videoscope analysis to study the Neanderthal skeleton from Altamura, Italy, gaining detailed information about its dental structure. The findings provide valuable data on ancient human oral health and offer a unique perspective on Neanderthal biology.
A new study successfully tracks 'bottle tags' through the Ganges River system and into the Bay of Bengal, revealing how plastic pollution moves through rivers. The tracking method uses reclaimed bottles with custom-designed electronics, allowing for detailed insights into river transport of plastic pollution.
New research on glass beads from archaeological sites in Mali and Senegal suggests a more intricate network of trade exchange during the emergence of Sahelian states. The findings shed new light on medieval commerce, revealing previously unknown regional connections.
A new epidemiological study from West Virginia University found that glucosamine supplements reduced all-cause mortality by 39% and cardiovascular-related deaths by 65%. The researchers analyzed data from 16,686 adults and suggest that people should continue exercising while considering the potential benefits of taking glucosamine pills.
The University of the Basque Country has developed a system using natural language processing techniques to represent sensors and human activity in smart environments. By giving sensors meaningful names, the algorithm can transfer knowledge from one environment to another, overcoming a major challenge in smart homes.
A University of Houston study analyzed sales data of restaurants in China before and during the pandemic, revealing revenue from delivery services increased by over 26%. Fine dining establishments saw a significant variation in financial performance, with discounts not effective in increasing sales.
Researchers have developed a predictive model to guide plant breeders in selecting suitable corn varieties based on genomic analysis. The study focused on predicting eight corn traits using shoot apical meristem (SAM) analysis, achieving accuracy ranging from 37% to 57% across the eight traits studied.
Researchers Alli Cramer and Stephen Katz identified two key variables: gross primary production and substrate mobility, which sort biomes by their energy flow and ocean floor movement. This new classification system sheds light on the diversity of marine environments and highlights areas where human actions may impact ecosystem function.
Researchers found that a combination of AI and human coaches can effectively train bottom- and top-ranked sales agents, improving performance. The study suggests that tailored designs for targeted agents can overcome challenges faced by different types of sales agents.
An international team led by The University of Western Australia has been shortlisted for the prestigious Gordon Bell Prize for outstanding achievement in high-performance computing. The team developed data pipelines for the future Square Kilometre Array (SKA) telescope and achieved record-breaking performance on the Summit supercomputer.
Analysis of over 4000 winter drowning events identifies factors associated with higher rates of drowning deaths. Warmer winters may lead to an increase in drowning fatalities in ice-covered areas.
The study found that the availability of invertebrates as prey is crucial for urban bird diversity, with higher prey abundance leading to more diverse communities. Bird species can be categorized into three groups based on their responses to environmental variables and prey abundance.
A study analyzed 18 songbird species and found that postfledging bottlenecks increased the survival rate of at least one offspring, suggesting parental manipulation can harm fledglings. The findings imply that parent-offspring conflict may impact other animals' life transitions.
Researchers create cheat-detection system for massively multiplayer online games, eliminating need for decrypted data. The approach can identify cheating patterns in real-time and take action to protect fair play.