A survey of UK healthcare professionals found that most doctors and nurses use their own smartphones for patient care, with over 92% of doctors and 53% of nurses deeming them 'very useful' or 'useful'. However, the lack of digital security measures and data encryption raises concerns about potential privacy breaches.
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Researchers developed a smartphone application to collect data on food handlers' behaviors, minimizing the Hawthorne Effect. The app allows for discreet observation and recording of aspects such as hand hygiene and temperature control, improving the quality of food safety observations.
UCSB computer scientists create natural models of user behavior using anonymized clickstream data from popular apps and social media sites. They aim to identify abnormal behaviors that could indicate security risks.
A recent study found that some health apps, despite being clinically-accredited, were transmitting unencrypted personal and health information, compromising user privacy. The study reviewed 79 apps listed on the UK NHS Health Apps Library and found 23 sent identifying info over the internet without encryption.
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Researchers developed an Android sleep monitoring app widget, SleepTight, that boosted daily sleep diary information entry and self-reflection among users. The widget's visual reminders and lock screen placement increased user interaction with the data, leading to better understanding of sleep patterns and behavior.
Researchers from the University of Southampton have identified easy-to-use techniques to configure IoT devices, making them more secure. Two interaction techniques were found to be noticeably more usable than others, including audio cable and Wi-Fi-only interactions.
The new vegetationmap4africa version provides a smartphone application and website to help users identify tree species and their uses. It aids in agroforestry and landscape restoration by providing information on suitable tree species for specific goods and services, as well as tools for regenerating degraded land.
Research at Michigan State University suggests that using smartphones to alleviate depression can have negative effects. Lead authors argue that face-to-face interaction is a more effective antidote to problematic mobile phone use.
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A study by University of Connecticut researchers found that people's spiritual awareness varies throughout the day, with higher levels in the morning and during engaging activities. Spiritual awareness was lower during work-related tasks and watching TV.
Researchers developed a model that predicts personalized daily forecasts for each student, enabling early identification of at-risk individuals and encouraging them to stay home. The study used wearable devices and smartphone apps to collect data on students' interactions and health habits.
The American Heart Association's scientific statement found that mobile health technologies can be effective for managing weight, increasing physical activity, and quitting smoking. However, more research is needed to fully understand their effectiveness for other health conditions.
Researchers verified the accuracy of PoopMD, a free smartphone app that reads stool color to detect biliary atresia, a rare pediatric liver disease. The app correctly identified 27 normal stools and all acholic stool samples, providing reassurance for parents.
The MoveSense app uses a smartphone's sensor data to continuously monitor oxygen saturation levels, enabling accurate tracking of cardiopulmonary fitness. The app can predict patient stability and alert doctors to potential health issues, providing a new tool for managing chronic diseases.
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A Rice University study found that smartphone users believed smartphones would improve their academic performance but ultimately reported detrimental effects on their ability to learn. The study suggests that providing access to smartphones without specific directed learning activities can be counterproductive to the learning process.
A new smartphone app, Alcohol Tracker, warns users if they exceed recommended daily/weekly alcohol units. The app provides built-in psychological therapies and helpline links to help users manage their drinking.
Researchers developed mobile applications to aid in everyday care for patients with epilepsy. These apps include seizure diaries, medication trackers, and alarm systems that detect epileptic seizures. Continuous EEG monitoring could also be made possible through special sensors integrated into smartphones.
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Researchers developed a smartphone sensor using surface plasmon resonance to detect biomolecules, including those for pregnancy testing and diabetes monitoring. The sensor is tiny, affordable, and comparable in sensitivity to current equipment.
A new ultrasonic fingerprint sensor measures 3D images of a finger's surface and tissue, making biometric solutions more robust and secure. The technology, developed by the University of California, Davis, has potential applications in medical diagnostics and personal health monitoring.
The SmartGPA app uses machine learning algorithms to infer student behaviors and predict GPA, showing significant correlations between study habits and academic performance. The results reveal key behavioral patterns associated with high and low performers, providing new insights for improving students' academic performance.
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A new tool called Kahawai reduces data usage while delivering graphics and gameplay similar to conventional cloud-gaming setups. The approach uses collaborative rendering to lighten the load, allowing mobile devices to generate rough sketches of frames while remote servers fill in the gaps.
A study by Kent State researchers found that using smartphones for texting, talking, or listening to music during exercise can negatively impact physical performance. Conversely, exercising with a phone without using it for communication or entertainment increased treadmill speed, heart rate, and enjoyment.
Researchers developed a mobile app that transforms digital sketches into walking routes, allowing users to share unique experiences with friends. The app aims to encourage reflection and communication, rather than competition or efficiency, and explores how GIS mapping technology shapes our experience of walking.
Researchers found that mobile shoppers tend to purchase items they've purchased before or from familiar brands, due to limited smartphone screen size. Low spenders also shop more frequently after adopting mobile shopping, leading to larger orders.
A team of University of Houston researchers has developed a lens that turns smartphones into microscopes, achieving 120x magnification at an affordable cost. The lens uses a polydimethylsiloxane material and can be attached directly to the smartphone camera, making it ideal for educational purposes.
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Researchers developed a smartphone attachment that can image and size single DNA molecules 50,000 times thinner than a human hair. The device is intended for use in remote laboratory settings to diagnose various types of cancers and nervous system disorders.
Researchers have developed an inexpensive alternative to touchscreens, called Acoustruments, which can be added to any device. These mechanisms use pluggable plastic tubes and structures to connect the smartphone's speaker with its microphone, allowing users to control devices using acoustically altered sounds.
While some health apps have shown promise in improving weight loss and physical activity, others have yielded conflicting results. Iltifat Husain argues that doctors should recommend tested and validated apps to help people stay healthy. Des Spence cautions that many health apps are untested and may even cause anxiety and medical harm.
Researchers found that smartphones' GPS receivers can detect permanent ground movement caused by fault motion during large earthquakes. Crowd-sourced smartphone data can be used to build earthquake warning systems, providing early warnings to people in affected areas before strong shaking begins.
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A new study found that apps with ads consume more energy, slow down phones, and use up to 100% more data than those without ads, leading to lower user ratings. The research compared 21 top apps from the past year and measured their impact on phones using analysis tools.
Researchers at Tel Aviv University have developed a smartphone-based device that uses hyperspectral imaging to identify the chemical composition of objects. The technology has potential applications in fields such as agriculture, biotechnology, and homeland security.
Researchers found that combining different photos of a user leads to better recognition on Samsung Galaxy phones, often to perfect levels. Storing an 'average' image formed by morphing together several photos can greatly improve performance.
A new mobile phone app, LifeRhythm, detects depression symptoms by analyzing user behavior such as activity levels and social interactions. The technology has the potential to revolutionize depression diagnosis, providing an objective and automated screening method.
Researchers used crowdsourced measurements to study energy impact of smartphone system settings. The study found that certain settings, such as Wi-Fi signal strength and temperature, can significantly affect battery life.
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A Carnegie Mellon University study found that when smartphone users learn the frequency of app location sharing, they quickly limit further sharing. Participants who received daily 'privacy nudges' detailing their app's access to sensitive information restricted permissions more than those who used an app permission manager.
Research suggests that too much artificial light in the evening can disrupt the body's circadian rhythm and lead to health problems such as breast cancer, obesity, diabetes, and depression. Experts recommend using devices with dimmer, longer wavelengths of light in the evening to minimize disruption.
Research suggests that smartphone users who rely on gut feelings tend to use their device's search engine rather than their own brainpower. Highly analytical thinkers spend less time using smartphones, indicating a possible link between heavy smartphone use and lowered intelligence.
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Researchers will test electrically-small biomimetic antenna arrays inspired by insect ear systems to increase data rate and reduce size of mobile devices. The project aims to develop signaling techniques suitable for full potential of MIMO antennas, enabling faster communication speeds.
A recent Finnish-Swiss-Belgian study finds that technology changes the teacher's role from a traditional knowledge provider into a facilitator guiding students' learning processes and engaging in joint problem-solving. Technology offers new types of learning possibilities, including interactive learning and teaching opportunities.
A recent study found that smartphone applications and wearable devices are generally accurate in tracking step counts, with minimal variation between devices. However, some wearables reported higher or lower counts than observed, highlighting the need for device accuracy assessment.
A new study published in JAMA found that smartphone apps are as accurate as wearable devices in tracking physical activity. The research used 10 top-selling smartphone apps and devices to compare their accuracy, with results showing smartphones were only slightly off from the observed step counts.
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Researchers aim to enhance speech signals and classify background noise using powerful smartphone processors and machine learning algorithms. The project has the potential to create a wide collection of smartphone apps for use with hearing aid devices.
Researchers developed a smartphone accessory that performs a lab-based blood test in just 15 minutes, detecting three infectious disease markers from a finger prick of blood. The device has a manufacturing cost of $34 and can be attached to any compatible smartphone for rapid diagnosis.
Teenagers who own smartphones spend more time online during the night, leading to an increased risk of poor sleep and depressive symptoms. Smartphone use at night is associated with a higher likelihood of sleep disturbances.
Researchers at Georgia Tech are investigating information leaks from laptops and smartphones, which can be used by hackers to spy on users even when not connected to the internet. They have developed a metric to measure the strength of these 'side-channel signals' and are studying where they originate to develop countermeasures.
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Regular smartphone use reshapes brain activity in response to touchscreen interactions, with the thumb being particularly sensitive to changes. The study found that smartphone users' brains show enhanced electrical activity when all three fingertips are touched, and this activity is directly proportional to phone use intensity.
A new study found that only 18% of seniors with Type 2 diabetes use apps to manage their condition, despite interest in web and mobile applications. The study suggests that age-related confidence in technology use is a significant barrier to adoption.
Researchers have developed a new sensor that can detect gaseous ammonia, hydrogen peroxide, and cyclohexanone wirelessly using a smartphone. The sensors, made from modified NFC tags, require almost no energy and can function at ambient temperatures.
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Researchers at Kent State University found that college students who spent more time on their smartphones during leisure activities experienced decreased enjoyment and increased stress. The study suggests that excessive phone use can diminish the experience of daily leisure, leading to feelings of uptightness and anxiety.
Researchers are exploring software-defined cellular networking to provide next-generation mobile broadband with speeds of up to 10 Gbits/s. The proposed end-to-end architecture offers flexibility, scalability, agility, and efficiency, while overcoming bandwidth shortages and improving quality of service.
A new smartphone app developed by Rutgers engineers helps Warren Township document and mitigate hundreds of hazards to power lines, reducing the risk of future power outages. The app uses crowdsourcing to gather data from volunteers, which is then presented to utility companies in an organized manner.
Researchers developed a method to securely display 3D images on smartphones by scanning QR codes without accessing the Internet. The system uses integral imaging and encryption to protect data, ensuring only authorized devices can access the content.
A study by Seok Kang, a UTSA associate professor, analyzed the smartphone habits of over 1,600 college students from the US and South Korea. American students used their phones mainly for email, texting, and social media, while Korean students were more interested in entertainment and information gathering.
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A new smartphone-based tool has been developed to monitor diabetic eye disease, offering comparable results to traditional equipment. The tool, called D-Eye, uses a small optical adapter that attaches magnetically to an iPhone and enables ophthalmologists to evaluate the severity of the disease.
A new algorithm developed by ETH Zurich researchers enables smartphones to understand hand gestures, allowing users to control their devices with ease. The program recognizes six different gestures and executes corresponding commands, such as switching between browser tabs or scrolling pages.
Researchers at the University of Michigan have extended the lifetime of blue organic light emitting diodes by a factor of 10, improving OLED efficiencies for smartphones and large-screen TVs. The new design spreads out light-producing energy to prevent damaging synergy, resulting in a tenfold increase in lifetime.
A Northwestern Medicine study found that people drink more alcohol on days when they exercise, particularly Thursdays to Sundays. The study used smartphone technology to record daily physical activity and alcohol use, and found uniform results across age groups.
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University of Washington researchers create a system that uses reflected smartphone signals to recognize and respond to hand gestures, enabling users to interact with their phones beyond touchscreens. The technology has an accuracy rate of 87% and could improve battery life.
A Dartmouth smartphone app assesses users' mental health, academic performance and behavioral trends using passive sensor data, finding correlations between sleep, social activity, stress levels and GPA. The app could provide continuous mental health evaluation and intervene to boost academic performance.
A simple, disposable testing device analyzes a single droplet of blood to diagnose anemia, with results available in about 60 seconds. The device has shown promising sensitivity and specificity compared to conventional hematology analyzers.
A recent study found that smartphone apps can help users track their dietary data more consistently and accurately than traditional methods. The research used a commercially available app, recording dietary intake using the memo function of smartphones, and paper and pencil for comparison.