Articles tagged with Digital Data
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 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 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 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.
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 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.
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.
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.
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.
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.
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.
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 NATURE FIRST project combines forensic intelligence and remote sensing technologies to monitor protected areas and detect human activities threatening biodiversity. The project aims to halt and reverse the decline of biodiversity in Europe by using predictive, proactive, and preventative capabilities.
A new report explores how to leverage low-cost methods to enable people with visual impairment to move through public, urban indoor and outdoor spaces. Tactile maps were found to be a very useful resource, while an accessible mobile app also showed promise as an orientation and mobility aid.
Researchers have demonstrated a power-efficient component for demultiplexing operation using silicon photonic MEMS, enabling efficient wavelength demultiplexing for fiber-optic communications. The compact footprint of the add-drop filter allows fast operation compared to established MEMS products.
The BiCIKL project has reached its halfway stage, launching a European community of key research infrastructures and stakeholders in biodiversity and life sciences. The FAIR Data Place online platform aims to provide scientists with access to all types of biodiversity data 'at their fingertips'.
Researchers at University of Jyväskylä used machine learning to predict ACL injuries in elite athletes but found a low overall accuracy rate. The study analyzed the largest data set ever collected and provided valuable insights into the challenges of predicting injuries in individual athletes.
The 7th International Meeting of the Digital Olfaction Society will showcase innovations and products in digital olfaction. Several demonstrations, including those by Sony and Ricoh, will be displayed, highlighting progress in olfactory measurement, testing, and transmission.
Mount Sinai researchers created a cloud-based digital framework, Employee Health COVID-19 REDCap Registry, to track employee health data and mitigate COVID-19 spread. The platform reduced case follow-up times from days to hours and helped identify occupational and non-occupational risk factors.
Researchers at Kyushu University developed a new method to create highly detailed 3D models of plants and animals. Over 1,400 models are now publicly available for use in education, research, and virtual exploration.
Research finds public perception of data use is shaped by social inequalities and concerns about potential harm or corporate profit. Experts highlight need for public sector review of data-driven systems to address these issues.
Researchers found that influencer originality, follower size, and sponsor salience enhance the effectiveness of a message. A balanced approach is most effective, with too little or too much posting hurting engagement. Firms should search for influencers with followers that overlap but aren't an exact match to achieve optimal brand-fit.
Scientists have developed a new method to store and retrieve digital data encoded in DNA molecules using enzymes. The approach enables complex calculations on DNA-encoded data without converting it back into electronic form.
A recent study from the Alliance of Bioversity International and CIAT shows that tricot, a citizen science approach for on-farm experimentation, generates agricultural data via local organizations in Central America. The approach enables farmers to contribute their time and land, reducing trial costs and increasing applicability.
A study published at the European Emergency Medicine Congress found that a digital technology platform called HealthCall can reduce emergency department attendances for residents in care homes. The system provides staff with easy access to clinical advice and has been shown to result in a 10% reduction in expected monthly attendances.
The Roy Rosenzweig Center for History and New Media at George Mason University has received a National Endowment for the Humanities grant to create a digital archive of Civil War graffiti sites in Northern Virginia. The project aims to preserve unique graffiti covering two historic house museums and expand it to several other sites.
A new study found that using digital technology in care homes can reduce emergency department attendances by 10% each month. The HealthCall app provides staff with easy access to clinical advice, allowing for more targeted care and reduced hospital admissions.
Researchers from Osaka University create an unobtrusive edible tag embedded inside cookies that can be read without destroying the food. The 'interiqr' method uses 3D printing to contain patterns of empty spaces, making QR codes visible with a simple backlight.
A recent study published in Engineering Construction & Architectural Management identified the main obstacles preventing digital transformation in the engineering and construction industry. The three main problems are a lack of laws and regulations, a lack of support and leadership, and a lack of resources and professionals.
A perspective paper explores the role of clinician-data-scientists in healthcare, emphasizing their need for interdisciplinary knowledge and training. The researchers highlight the importance of integrating data science into conventional medical education to prepare clinicians for the digital health era.
A machine learning model developed by Carnegie Mellon University can accurately predict how stay-at-home orders affect people with multiple sclerosis. The model uses passively gathered smartphone and fitness tracker data to identify factors that signal changes in health.
A UK-based trial found that texting young people to encourage safer sex behaviors did not reduce rates of chlamydia and gonorrhoea reinfections. The study suggests that health communication interventions should be rigorously evaluated to improve outcomes for this age group.
Researchers reviewed mobile sensing designs, outcomes, and limitations to better understand its capacity for remote detection, longitudinal tracking, and exposure tracing. Despite technical and societal challenges, advances in data analytics and machine learning may improve data quality and scalability.