Articles tagged with Digital Data
A digital credential system would simplify welfare application processes for the homeless, handicapped, and mentally ill. This approach aims to reduce barriers to assistance, ensuring marginalized communities receive needed help.
Openseize breaks down massive datasets into smaller fragments for efficient analysis, extracting important biomarkers like frequency densities and spike rates from one-dimensional digital signals. The software has wider applicability beyond brain signal analysis, potentially exploring biomedical data in various fields.
A new study suggests that blockchain can combat both invasive advertising and ad fraud, giving consumers more control over their data and experience. By tracking user information and transactions, blockchain can prevent fake ads and fraudulent activities, potentially saving advertisers billions of dollars in losses.
Using non-fungible tokens (NFTs) as a potential data management solution can bridge the gap in privacy-preserving solutions, allowing patients to own their health data and share it securely. This empowers them to engage in their health journey more proactively, resulting in better healthcare outcomes.
Scientists create a simple approach to fabricating highly precise 3D aperiodic photonic volume elements (APVEs) for various applications. The method uses direct laser writing to arrange voxels of specific refractive indices in glass, enabling the precise control of light flow and achieving record-high diffraction efficiency.
Researchers from HKUST and CityU developed a metasurface to generate time-varying OAM beams with a time-dependent phase profile. This allows for a higher-order twist in the envelope wavefront structure, increasing capacity for applications such as dynamic particle trapping and information encryption.
A new study published in Global Strategy Journal highlights the importance of a physical presence in foreign markets for born digital firms. The research found that these firms are more likely to deploy foreign direct investment in far-away and culturally different countries to overcome geographical and cultural challenges.
Researchers have found that commercially available smartphones and smartwatches can capture key features of early, untreated Parkinson's disease. These technologies could provide more objective and continuous ways to measure the disease, bringing new treatments to market faster for patients in the early stages.
Scientists at the University of Chicago have created a new material that can bend in half or stretch to twice its original length while still emitting light. The stretchable OLED display has applications in wearable electronics, health sensors, and foldable computer screens.
A team of scientists from Kyoto University has confirmed that galaxy alignments can be a powerful probe for dark matter and dark energy. The analysis of 1.2 million galaxy observations verified general theory of relativity at vast spatial scales, providing strong evidence for gravity's role in shaping the universe.
Researchers have developed a new way to create dynamic ultrahigh-density 3D holographic projections, overcoming two long-existing bottlenecks in current digital holographic techniques. The new method enables realistic representations of the world around us for use in virtual reality and other applications.
A new international study has revealed significant potential for digital technology to improve asthma control for patients. The study found that combining information from a digital device in a digital platform led to improved medication adherence and reduced healthcare costs.
Adolescents in sub-Saharan Africa have limited access to digital devices, with varying rates of mobile phone ownership across countries. The study found that wealthier households and homes with high maternal education had greater access to digital technology.
A new study published in The European Heart Journal – Digital Health found that smart watch data can predict a higher risk of developing heart failure and irregular heart rhythms. Researchers used machine learning to analyze ECG recordings from wearable devices and identified extra beats as indicators of increased cardiovascular risk.
The Human Brain Project has achieved significant scientific breakthroughs, including world-leading 3D brain atlases and personalized medicine based on computational modeling. The project's legacy will leave a lasting impact on the research community.
Rice University's assistant professor of computer science, Todd Treangen, has been awarded a $599,943 National Science Foundation CAREER Award to develop a comprehensive computational platform for detecting yet-unseen microbial pathogens. The project aims to characterize previously unseen pathogens that could pose a risk to humans.
A study by Duke-NUS Medical School researchers analyzed tens of thousands of student data to determine the impact of early class start times on attendance, sleep behavior, and academic performance. The findings suggest that students who attend early morning classes often lose an hour of sleep and experience lower grades.
A new study highlights digital divide disparities in rural US communities, citing limited broadband and lower socioeconomic resources. Researchers stress the need for targeted policies to increase access to telemedicine and online health services.
The National Cooperative Dairy Herd Improvement Program has successfully collected herd production data for 100 years, providing crucial input for cattle breeding and genetics. The program's cooperative structure, data interoperability, and governance model make it a unique example of how data collection benefits producers.
A new course at Norwegian University of Science and Technology teaches risk management and resilience in maritime digital security. Despite the importance of training, many deck officers reported uncertainty about handling cyber incidents on board.
A University of Illinois project uses AI-powered object recognition to quantify kernel damage in wheat, enabling faster disease analysis and improved resistance. The technology has shown promising results, with potential for an online portal to automate scoring and support breeders in their efforts to eliminate fusarium head blight.
A metastudy found digital-based physical exercise interventions are at least as effective as face-to-face ones, but generic designs often fail to provide quality information. The researcher aims to improve the digital-health-based prescription of physical exercise to take account of patients' individual requirements.
A new cybersecurity framework uses digital twin technology, machine learning, and human expertise to detect cyberattacks in manufacturing processes. The framework analyzes continuous data streams from physical machines and their digital twins to identify irregularities and flag potential threats.
A novel ensemble learning model has achieved an accuracy of 96 percent in predicting mild cognitive impairment and dementia in older drivers. The two most influential driving variables are the right to left turn ratio and the number of hard braking events.
A review of 25 years of AI health tech research found that only 24% of studies include patient-reported outcomes, but there has been an increase in recent years. Experts emphasize the importance of integrating patient voices into AI models to support personalized care and prevent digitalization of healthcare.
Computer scientists designed a reconstruction attack that proves US Census data can be exposed and stolen with current privacy measures. The study demonstrates risks to individual respondents' privacy, highlighting the need for differential privacy techniques to protect sensitive information.
The project will create a digital map of parking spaces using accumulated UTA data, enhancing sustainability practices and reducing emissions. It will also establish an AI-based system to predict future demand and improve users' experiences through a mobile app.
A growing use of blockchain in global supply chains creates a 'regulatory gap' for resolving disputes, according to new research. The study suggests that firms using blockchain feel left to their own devices when solving disagreements and conflicts, highlighting the need for appropriate mechanisms.
Researchers have discovered a way to construct and control oxygen-deprived walls in nanoscopically thin materials, which can store data in multiple electronic dialects. These walls can retain their data states even when devices turn off, paving the way for next-gen electronics with enhanced memory capabilities.
The EnzymeML format provides a standardized way to record enzymatic experiment results, including conditions, data, kinetic models, and parameters. This enables seamless communication between experimental platforms and promotes reproducibility and trust in scientific results.
The Human Brain Project Summit 2023 will highlight the scientific achievements of the project at the interface of neuroscience and technology. Researchers will present cutting-edge research on European advances in neuroscience and applications in medicine and brain-derived technologies.
A new open-access syllabus is training professors in public administration to develop the digital skills needed for post-pandemic governance. The project, initiated by Ines Mergel and David Eaves, provides teaching materials and resources to support instructors in adapting to the digital age.
The team developed a way to stack red, green, and blue light-emitting diodes to create vertical, multicolored pixels, enabling higher-resolution displays. This technique could enable fully immersive virtual reality experiences and improve digital screens' sharpness and resolution.
Researchers identified 7 key symptoms of long COVID, including heart issues and joint pain, in a study of 52,461 patients. The findings could help healthcare providers diagnose and treat the condition more effectively.
A study found a link between pain and indigestion medication purchases and ovarian cancer diagnoses, suggesting earlier symptom recognition. The research suggests that loyalty card data can be used to identify potential ovarian cancer cases.
Primary care physicians and patients expressed concerns about digital detection surveillance of infectious diseases, including ambiguity over consent and potential discrimination. High-quality primary care was associated with reduced hospitalizations during the COVID-19 pandemic.
Researchers conducted in-depth interviews with primary care practitioners and patients to document experiences with digital surveillance of infectious diseases. The study identified five frequently-mentioned concerns, including ambiguity around informed consent and the potential for discrimination against certain groups.
Research from the University of Houston suggests that digital technology can enhance learning in young children by leveraging mind-wandering moments. When toddlers exhibit attentiveness and persistence while playing educational apps on an iPad, it leads to positive creative problem-solving skills and improved learning outcomes.
Researchers use drone technology to detect changes in building facades and assess technical condition, enabling accurate classification and identification. The system can also be used for urban heritage site monitoring and planning urban development.
A new study published in the Journal of Medical Internet Research found that participants using Huma's clinical trial platform had an average engagement rate of 34.5 weeks and a high retention rate, with only 2.5% withdrawing from the study. The study highlights the potential of digital health solutions for population-based research.
A new study involving Huma's clinical trial platform showed that participants had a positive experience using the app to report measurements and symptoms. The study found sustained levels of engagement over 6 months, with only 2.5% of participants withdrawing.
A new digital twin of laser-directed energy deposition repair technology has been developed to improve industrial sustainability. The system automatically determines optimum forming conditions, reducing metal powder waste and increasing the effectiveness of the repair process.
Researchers introduced a framework to support human collaborative intelligence in digital twins using augmented reality. The HCLINT-DT framework showed good adaptability levels in various use cases, including family photo albums and industrial electrical engineering contexts.
A new study found that limited information is available on the size of the gambling market, participation, harms, and prevention in Sub-Saharan Africa. The researchers argue that regulation is outdated and ill-equipped for a digital age, with many territories lacking explicit regulation for online gambling.
A new AI deep learning model for mapping wetlands has been developed by Chesapeake Conservancy with 94% accuracy. The model uses freely available data to map high-resolution wetlands in the US, providing a cost-effective solution for natural resource managers and companies.
Researchers have developed a diffractive optical processor that can compute hundreds of transformations in parallel using wavelength multiplexing. The processor, which is powered by light instead of electricity, can execute multiple complex functions simultaneously at the speed of light.
A recent study by Ohio State University found that despite widespread internet access, many refugee communities struggle to use digital technology for daily needs. The research highlights the importance of addressing social and cultural barriers to bridge the digital divide.
New signal-processing algorithms have been shown to help mitigate the impact of turbulence in free-space optical experiments. The researchers achieved record results using commercially available photonic lanterns and a spatial light modulator to emulate turbulence.
Scientists at Aston University are developing a new technology to provide surfaces with channels less than five nanometres in width, enabling increased capacity in data storage devices. The goal is to tackle the global shortage of digital data storage and reduce the need for costly construction of new mega data centres.
A recent report highlights gaps in telehealth guidelines for UK Allied Health Professionals, leading to unequal access to care. The study calls for uniform guidelines and training to ensure a successful digital transformation and address widening health inequalities.
The MoveOn project has launched a nationwide cycling data platform, providing municipalities with access to high-quality cycling data. The platform is based on 5.2 million journeys collected from 340,000 cyclists across Germany, offering insights for efficient and user-oriented planning.
Researchers at the University of Illinois created an experimental data set to validate models of supersonic flows around a cantilever plate. The data set reveals complex fluid-structure interactions, including three-dimensional flow in the re-circulation region under the plate.
New research finds that digital make-up mirrors enhance a sense of self-inauthenticity among consumers, leading to embarrassment and shame. Conversely, in-store experiences allow for a more authentic and enjoyable shopping experience.
A new study explores the value of 'trash data' from cancer genome sequencing, identifying new strategies to uncover previously unexplored information. The researchers found that genomic and transcriptomic data contain relevant information that can help elucidate carcinogenesis and discover putative biomarkers with clinical applications.
Australian citizens are concerned about the government's and businesses' response to cyber threats, with many wanting a more active role in building digital resilience. The study found low trust in institutions and skepticism towards social media companies and tech giants.
Researchers created synthetic knee x-ray images to complement real images in osteoarthritis classification. Medical experts were unable to distinguish between authentic and synthetic images, highlighting the potential of synthetic data for collaboration and testing.
The 'Nature's Envelope' is a simple model that depicts the scope and scale of biology by compiling information about all living organisms' processes. The model plots sizes of participants and durations of processes on a logarithmic grid, revealing broad S-shaped envelope encompassing half of decadal blocks.
A University of Oklahoma study aims to develop practical approaches to pinpoint hidden wireless devices, using a single smartphone and no professional equipment. The project focuses on safeguarding user privacy against unauthorized video or voice recordings from IoT devices.
Researchers at Mayo Clinic developed an AI algorithm that accurately detects weak heart pumps using single-lead Apple Watch ECGs. The system has shown promising results, rivaling medical treadmill diagnostic tests in accuracy, and holds potential for scalable screening and prevention of heart failure.
The American Heart Association statement highlights telehealth's benefits in managing cardiovascular disease, including cost-effectiveness and improved rehabilitation. However, challenges like access to broadband internet and privacy security concerns hinder widespread adoption.