Articles tagged with Digital Data
The study highlights the potential of crowdsourced geospatial data to improve decision-making processes in various industries. Researchers identified seven challenges associated with crowdsourced data, including ensuring quality and accuracy, protecting privacy, and navigating legal issues.
Smallholder farmers in four African countries experienced reduced crop losses and higher incomes after receiving pest alerts generated using earth observation data. The Pest Risk Information Service (PRISE) project demonstrated a positive impact on farmers' livelihoods, with benefits more pronounced for male-headed households.
Researchers have developed a novel optical neural network architecture that achieves nonlinear optical computation by precisely controlling ultrashort pulse propagation in multimode fibers. This approach streamlines the need for energy-intensive digital processes, achieving comparable accuracy with significantly reduced parameters.
A new study funded by NIHR has led to the UK government approving digital pathology for cancer screening samples. This technology enables faster reporting and improved care for patients with bowel, breast, lung, and cervical cancers. The use of digital pathology will help reduce risk of sample loss or damage and allow pathologists to r...
Incheon National University researchers developed a web 3.0 streaming architecture that reduces delay, improves user experience, and ensures transparency and fairness for real-time services. The proposed system uses Inter-Planetary file system (IPFS) to enable blockchain-based peer-to-peer data storage and caching.
Researchers found that online reviews on Yelp were negatively impacted by the platform's transparent filter policy, resulting in fewer positive and shorter reviews. The study suggests that platforms must balance transparency with user engagement to maintain trust.
The UCF PRINT project has received national funding to digitize migrant communication networks and explore the history of early modern migration in the Atlantic world. The project will map the connections between European religious minorities and their influence on migration patterns.
AI models predict patient outcomes with high accuracy within their training data, but their performance deteriorates when used outside the original trial or in different clinical settings. Researchers aim to improve accuracy by examining large patient groups and exploring new data modalities.
The Internet-of-Batteries (IoB) system utilizes IoT principles to gather data from EV batteries, analyzing health and performance, identifying faults, and optimizing usage. Machine learning approaches enhance decision-making for improved battery performance, increased range, and reduced costs.
The European Commission has awarded €38 million to further develop EBRAINS, a digital ecosystem for neuroscientific research. The project aims to establish a new standard for brain atlases and push forward digital twin approaches.
The report highlights key applications and pathways to commercialization for emerging PV technologies, including new materials and device concepts. It also discusses strategies to exceed current limits in solar PV energy conversion and challenges facing efforts to scale up globally.
A study redevelops a framework for teaching artificial intelligence and robotics to preschool children, providing five big ideas that can be grasped by young kids. The framework aims to prepare children to understand and use AI tools effectively, promoting healthy and responsible learning in the rapidly developing digital society.
A study of 1,471 children found that early-life digital media exposure is associated with atypical sensory processing in multiple domains. The findings suggest that excessive screen time may be a potential risk factor for the development of atypical sensory profiles.
A recent study published by the Mayo Clinic found that an AI-enabled digital stethoscope can detect peripartum cardiomyopathy, a potentially life-threatening condition, more accurately than regular care. The researchers identified twice as many cases using the AI-powered tool.
A new study from the University of Ottawa and Copenhagen Business School finds that removing human bias from organizational processes can lead to autonomous systems that create their own environments. This could limit human ability to recognize automation biases, notice environmental shifts, and take action.
The PRIYA simulation suite provides a new model for simulating large-scale structure in the universe, constraining cosmological parameters and dark matter. The study confirms the σ8 tension between CMB measurements and weak lensing, with implications for understanding the universe's evolution billions of years after the Big Bang.
The National DigiFoundry aims to establish global standards for digital asset use and exchange through blockchain technologies. The consortium will develop a resilient framework to address cybersecurity challenges in digital asset management.
A study by Carnegie Mellon University found that nonmonetary incentives boosted coverage of local news on digital platforms. As citizen journalists reduced their output, professional journalists increased their production, leading to a decline in overall content and viewership.
Assistant Professor Amanda Madden at George Mason University has received a $48,911 NEH grant to create a digital edition of the late medieval text 'La sfera', featuring merchants, maps, and manuscripts. The project aims to integrate texts, images, and maps in an interactive digital framework for scholars and students.
Researchers at the University of Arizona developed a low-power wide area network (LPWAN) system that enables wearables to transmit health data long distances without cell coverage. The system, called biosymbiotic, has the potential to improve remote monitoring in underserved communities and make digital medicine more accessible
Researchers used machine learning and mobile mapping systems to analyze the town of Sabbioneta's streets and pavements, identifying accessible trajectories and paths for citizens with motor disabilities. The study demonstrated the effectiveness of AI in assessing physical accessibility in historic urban contexts.
The ETH Zurich-developed Authentic Digital EMblem (ADEM) aims to protect humanitarian organizations' digital infrastructure from cyberattacks. The system uses a combination of security protocols, including web PKI and CT ecosystem, to ensure authenticity, accountability, and covert inspection.
The EUDTO-BioFlow project aims to establish a digital twin of the ocean by making critical marine biodiversity data publicly available. This will enable the simulation and study of 'what if' scenarios for effective conservation and management.
A recent study has uncovered a remarkable connection between individuals' musical preferences and their moral values, shedding light on the influence of music on morality. The research found that specific lyrics and audio features from favorite songs can predict moral values such as Care and Fairness and Loyalty.
Sydney researchers have identified new structural relationships in complex networks like Twitter and political blogs. A 'source-basin' structure plays a crucial role in organizing the flow of information, with influential nodes serving as sources and densely connected active nodes forming basins.
A recent study published in Annals of Family Medicine explores how technology is changing medical practice, including the use of AI-driven tools to effectively diagnose patients. The study also examines the interplay between fulfillment of basic psychological needs at work and technology use in maintaining clinician well-being.
A Canadian study examines how rapid shift to virtual care during COVID-19 pandemic impacts primary care doctors' well-being. The researchers found that basic psychological need satisfaction at work was associated with higher well-being, while controlled motivation towards using virtual care predicted lower well-being.
Biomedical engineers at Duke University created a new 'digital twins' framework using smartwatch data to capture personalized arterial forces over 700,000 heartbeats. This approach reduces the computational load by simulating tasks in parallel, enabling real-time tracking of cardiovascular disease progression and risk assessment.
Researchers at UMC Utrecht developed an AI model to predict long-term outcomes in extremely premature babies, identifying those at risk of intellectual disability. The model analyzed brain activity data with 80% accuracy, offering valuable information for healthcare providers and parents about expected developmental journeys.
A new framework demonstrates that proportionately more multi-homing consumers lead to significant efficiency gains when integrating two business platforms. However, this trend also creates higher barriers to entry for new platform firms and may require policy guidance to mitigate potential harms of platform mergers.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
A new AI program created by researchers at UF and NVIDIA can generate medical records so well that human physicians couldn't tell the difference. The GatorTronGPT model uses a large language model to mimic natural human language, overcoming hurdles such as protecting patients' privacy and being highly technical.
Researchers developed soft, miniaturized wearables that continuously track subtle body sounds wirelessly across the body. The devices offer new functionalities and provide highly accurate, real-time evaluation of patient health.
Researchers adapted a COVID-19 collaboration to monitor near-real-time trends in substance use-related hospital and emergency department visits. Detailed data shows large increases in methamphetamine- and opioid-involved hospital and ED visits among Native American, Black, and multiple-race populations.
A digital detox for a week had mixed effects on mood, with no increase in desires to use social media platforms. The study found that reducing social networking site use led to decreases in both positive and negative emotions in users.
The joint team developed a Fire & Explosion Management System (FXMS) using Digital Twin technology, offering high-accuracy real-time monitoring and predictions of battery conditions up to five years. The technology can extend the lifespan of lithium-ion batteries by over 50%, reducing carbon emission through reduced battery waste.
The Southwest-Midwest Pediatric Device Innovation Consortium has supported over 200 pediatric device innovators and companies, developing several devices in the past five years. The consortium's portfolio includes real-world evidence research projects using digital tools for collecting and analyzing patient data.
The American Heart Association has selected five finalists in its 6th annual Health Tech Competition to present their innovative technologies. The competition aims to drive technology innovation and transform the landscape of heart and brain health.
Research on people and society will be severely impacted due to the drastic changes in social media platforms' Application Programming Interfaces (APIs). The reduced or increased charges for access make it harder for researchers to conduct studies on behavioral patterns, online polarization, and misinformation.
Researchers at Mainz University Medical Center aim to improve patients' quality of life by applying smart data technology to physical activity. The DECIDE project aims to provide individualized control of patients' daily physical activity, while the RELEVIUM project focuses on alleviating pain and weight loss in pancreatic cancer patie...
Experts recommend breaking with the past to develop a new international mechanism for sharing benefits from digital sequence information. The current system is threatened by the emergence of fast genome sequencing technologies and open access infrastructures.
A new study by the University of Exeter found that increasing human input in AI systems improves citizens' acceptance and perception of fairness. Citizens prefer more accurate and cost-effective systems, with human involvement being a key factor in their acceptance.
A team of researchers at Tampere University and Eastern Washington University used weather records to validate the effectiveness of musical characteristics in enhancing data interpretation. The study found that musical sounds can be a powerful complement to traditional data visualization methods.
Researchers from the UMA developed an open-source platform called Open Twins to create more accessible and versatile digital twins. This platform enables the simulation of real-world assets based on virtual replicas, predicting future behaviors and detecting anomalies, leading to more efficient companies that make data-driven decisions.
The TMIST breast cancer screening trial is expanding to Thailand, aiming to improve outcomes for Black and Hispanic women. The trial, led by the ECOG-ACRIN Cancer Research Group, is comparing 3-D and 2-D mammography in 128,905 women to better inform tailored future screenings.
The University of Texas at San Antonio has been selected to establish a Secure Manufacturing Tech Hub with a $500,000 grant from the US Economic Development Administration. The consortium aims to grow a skilled workforce, enhance business competitiveness, and promote secure manufacturing strategies across South Texas.
A five-year study found that most sports and exercise are overwhelmingly safe, with injuries being rare. Fitness activities like running, golf, and dance classes have the lowest injury rates, while sports like football have a moderate risk of injury, with motorsports and gliding carrying significantly higher dangers.
New research from Radboud University found that students' ICT skills have a significant impact on their math performance, particularly in countries with robust ICT environments. The study suggests that improving ICT infrastructure can reduce educational inequality between countries.
Cleveland Clinic is selected by Wellcome Leap to lead two quantum computing research projects in collaboration with IBM Quantum and Algorithmiq. The projects aim to accelerate the development of quantum computing applications for healthcare, with a focus on protein structure prediction and photon-drug interactions in cancer treatment.
A new UN study finds that global Bitcoin mining activities have substantial water and land footprints in addition to a significant carbon footprint. The top 10 Bitcoin mining countries are responsible for 92-94% of the global environmental impact.
A new study suggests an artificial intelligence tool can detect distress in hospital workers' conversations with therapists during the pandemic. The tool analyzed digitalized session transcripts to identify common phrases tied to mental illness using natural language processing.
A new analysis method can map individual company-level connections, revealing up to 13 billion supply connections worldwide. This data could reduce tax evasion (€130 billion) and improve climate and human rights compliance by creating a global supply network map.
The WVU School of Medicine and Benjamin M. Statler College of Engineering and Mineral Resources will support clinical trials and engineering technology development. The project aims to improve care and rehabilitation for people with neurological disorders through novel physician-engineer programs and human research.
The Center for Advancing Point of Care Technologies (CAPCaT) has received a five-year, $8.9 million award from the NIH to develop innovative point-of-care health technologies. The program aims to address heart, lung, blood and sleep disorders in underserved populations.
A study by Jonathan Middleton demonstrates how digital data can be transformed into sounds, enhancing engagement with complex data points. The custom-built 'data-to-music' algorithm validates a 'fourth dimension' in data interpretation through musical characteristics.
A proposed AI-centric medical curriculum aims to educate future healthcare practitioners in digital technology, with a focus on technical concepts, validation, ethics, and appraisal. The curriculum caters to varying student levels, from consumers to developers, promoting interprofessional collaboration and adaptable learning.
Researchers developed an AI-based method to estimate BMD from plain X-ray images using a hierarchical learning framework. The approach showed high performance and reliability in estimating BMD, with correlation coefficients of 0.88 and 0.92 compared to DXA and QCT.
A pioneering international study led by UOC researchers finds that older people in Spain and Israel use smartphones more than those in Canada and Romania due to access to affordable internet rates. The study contradicts the stereotype that growing older leads to decreased digital technology use.
The study reports that UK natural science collections hold over 137 million items and contribute significantly to scientific, commercial, and societal benefits. Digitalizing these collections can unlock a seven- to ten-fold economic return on investment.
Researchers at UCF developed a new class of optical modulators to address limitations in data transfer over optical fiber communication, reducing lag and improving reliability. The technology uses phase diversity and differential operations to ensure accurate and efficient transmission.