Articles tagged with Smartphones
The Center for Aggressive Scaling by Advanced Processes for Electronics and Photonics (ASAP) aims to develop new fundamental technology solutions to reduce energy consumption in microprocessors. The center will focus on materials discovery, heterogeneous 3D integration, and highly energy-efficient circuits and architectures.
A study of 578 mental health apps found that most offered basic features like psychoeducation and goal tracking, but fewer innovative features like biofeedback or specialized therapies. Privacy concerns remained a significant issue, with app popularity metrics providing little help in identifying more private apps.
A reactive strip has been prototyped to detect and quantify allergens in foods before consumption. The test's reliability is high due to its miniaturized 36-point array with internal controls and calibrators, enabling quick quantification of allergen traces.
Researchers at Tokyo Institute of Technology have developed a novel harmonic-selection technique to extend the operational bandwidth of 5G NR communication. The proposed technology improves power efficiency and achieves low noise, making it compatible with all existing 5G bands and future 60 GHz licensed band.
Texas A&M researchers have developed a method to embed hidden magnetic tags in metal parts, providing a new tool to combat counterfeited goods. The technique uses metal additive manufacturing to create unique identifiers that can be read using a magnetic sensor device.
A new study demonstrates how anonymized smartphone data can monitor public use of parks and green spaces, shedding light on relationships between people and nature. The findings highlight potential for GPS data to inform management and optimize benefits for both recreation and biodiversity.
A new study found that frequent use of digital devices to soothe young children ages 3-5 is associated with increased emotional dysregulation in kids, particularly in boys. Alternative soothing methods can help build emotion regulation skills and prevent tech-related tantrums.
A recent study found that frequent mobile device use for calming young children may displace opportunities for learning emotion-regulation strategies. Pediatric health care professionals may need to encourage alternative calming approaches to support healthy development.
A novel public health intervention, virtual overdose monitoring services offer timely and anonymous access to emergency care and can develop personalized response plans for individuals using substances. High-quality research is needed to better understand the benefits and risks of these services.
A new smartphone healthcare app called CALO mama Plus has been found to lead to significant reductions in body weight. The study, conducted by researchers from the University of Tsukuba, tested the efficacy of a comprehensive behavior modification app and found it to be as effective as established interventions.
Researchers at Nanyang Technological University have developed a technique to convert waste paper into lithium-ion battery electrodes, reducing greenhouse gas emissions and increasing durability. The new method uses carbonisation and laser cutting to create reusable batteries with superior properties.
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.
A new study found that smartphones can harbor allergens such as cat and dog dander, β-D glucans, and endotoxin. Cleaning compounds like chlorhexidine/cetylpyridinium chloride and benzyl benzoate/tannic acid were effective in reducing these allergens.
A team of researchers from Rice University, Baylor College of Medicine, and Northern Illinois University are developing an open source system called FLASH to objectively measure children's screen-viewing behaviors. The five-year grant includes funding for three long-term studies on the impacts of screen use on young children.
Screen time increased by 52% during the pandemic, with significant increases for individuals ages 12-18 and handheld devices/personal computers.
A new study by MIT researchers shows that mobile phones can collect useful structural integrity data while crossing bridges. The study found that information about bridge vibrations can be extracted from smartphone-collected accelerometer data, and that this method could add years to a road bridge's lifespan. By leveraging crowdsourced...
Research found a hospital code response team arrives at least one minute quicker and leads to better patient outcomes with smartphone emergency code notification systems. The study used a secure texting system that connected with electronic medical records, reducing conventional methods' average delay of 78 seconds.
Researchers at the University of Washington have developed a new hearing screening system using low-cost earbuds and smartphones, which performed as well as commercial devices and correctly identified patients with hearing loss. The tool can be used in countries where screening is not accessible due to high device costs.
An automated texting program supported primary care patients after hospital discharge, resulting in significant reductions in acute care resource use. The patient-centered approach may serve as a model for improving post-discharge care.
Researchers used smartphone sensors to measure walking activity in 100,000 UK Biobank participants and developed predictive models of mortality risk. The study showed that just 6 minutes per day of steady walking measured by the sensor can accurately predict mortality risk, similar to physical measures.
Scientists developed new cyanopyrazine-based fluorophores that are 2.4 to 20 times more intense than analogues. The presence of a cyanogroup significantly increases the efficiency of OLEDs, leading to improved brightness.
Researchers used data from 100,000 UK Biobank participants to develop predictive models of mortality risk using only 6 minutes of steady walking collected by smartphone sensors. These models achieved similar accuracy to traditional measures of gait speed and walk pace.
A recent study published in eLife reveals that women, the elderly, those in rural areas, and those living in poverty are less likely to own a mobile phone, thereby excluding them from accessing mobile health (mHealth) services. The study highlights the need for digital transformation across Africa to ensure equitable access to healthcare.
A study of over 700 children aged 8-16 with concussions found that engaging in moderate screen time was associated with faster symptom clearance. The researchers suggest using moderation as the approach to screen time, rather than complete bans, to support concussion recovery.
A new study from San Diego State University's Fowler College of Business found that monitoring cellphone screen time with specific goals in mind can lead to higher perceived productivity and user satisfaction. However, excessive self-monitoring can induce fatigue and weaken the effect on productivity.
A team of Illinois Tech researchers used machine learning to estimate the age and gender of individual users with high accuracy, raising questions about data security and privacy. The study highlights the need for better regulations and best practices to protect personal information from being misused.
Researchers developed a smart mouthguard that translates complex bite patterns into instructions to control devices such as computers, smartphones and wheelchairs. The device achieves 98% accuracy and has the potential to support individuals with limited dexterity or neurological disorders.
A new study by the American Academy of Pediatrics found that teen drivers engage in risky behaviors such as speeding and handheld cellphone use. The study tracked the driving habits of 165 adolescents in Pennsylvania and found that these behaviors occurred in approximately 40% and 30% of trips, respectively.
Researchers developed a new technique that enables on-device training using less than a quarter of a megabyte of memory, reducing the need for powerful computers and central servers. This approach preserves privacy by keeping data on the device, making deep learning more accessible for low-power edge devices.
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 new smartphone application, DryEyeRhythm, uses cameras to measure blink characteristics and administer questionnaires for diagnosing dry eye disease. The app has been validated in a study, showing high reliability and validity in assessing DED, with promising implications for early diagnosis and treatment.
Researchers found that smartphones and social media can exacerbate feelings of attachment and anomie, rather than providing purpose and meaning. Identifying a satisfying purpose in life can provide a protective effect against these negative effects.
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.
Researchers from Trinity College Dublin created synthetic rocks to study rare earth element formation. The study reveals that fluids containing REEs replace common limestone via complex reactions, shedding light on the mechanisms of rock formation and industrial separation processes.
Researchers have developed an algorithm that uses smartphone camera and flash to detect low blood oxygen levels. The method produced accurate results in 80% of the participants, showing promise for remote monitoring and early detection of conditions like COVID-19.
A rat study found that excessive blue light exposure is associated with earlier puberty onset, reduced melatonin levels, and increased reproductive hormones. This suggests a potential risk for childhood development and future fertility.
A study by University of Pittsburgh researchers found that older adults with consistent daily routines are happier, less depressed, and have better cognitive function. Participants who rose early, stayed active throughout the day, and followed a regular routine performed better on cognitive tests than those with disrupted patterns.
Researchers at the University of Washington developed AquaApp, a mobile app that enables underwater messaging on billions of existing smartphones and smartwatches using software. The app uses acoustic signals to transmit messages and can accommodate up to 60 unique users on its local network.
Researchers developed a silicon photodiode array for in-sensor processing, allowing for real-time image filtering and extraction of relevant visual information. The technology has potential applications in machine vision, bio-inspired systems, and intelligent imaging devices.
Researchers have developed highly sensitive and mass producible organic photodetectors that can detect weak signals. The new photodetectors exhibited a detectivity comparable to those of conventional silicon photodiodes, operating stably under temperatures above 150 °C.
A new study from the University of Florida finds that smartphones encourage consumers to prefer customized options, leading to increased self-expression and altered behaviors. The researchers suggest that companies should adapt their offerings based on device usage to tap into this trend.
Researchers developed a novel biologically-inspired intraoral camera with a wide-angle insect eye structure, increasing field of view and resolving optical aberrations. The device provides multifunctional dental imaging, including high dynamic range, 3D depth, and autofluorescence, without discomfort or image blur.
A machine learning model developed by Canadian and Slovenian researchers accurately predicted fall risk in lower limb amputees, achieving up to 80% accuracy. This breakthrough has significant implications for the development of smartphone-based fall detection systems.
A new study published in the Journal of the American Heart Association suggests that smartphone video motion analysis can accurately detect narrowed neck arteries, which are a significant risk factor for stroke. The algorithm achieved an impressive 87% accuracy rate in detecting stenosis in participants with carotid artery disease.
A team of researchers has created an online dashboard to track equity requirements in 239 shared micromobility programs across the US. The dashboard provides city officials with valuable insights on best practices for expanding access to these programs, including technology access, reduced fare options, and adaptive vehicles.
A new study published in Journal of Experimental Psychology: General found that using digital devices as external memory can improve memory skills. Participants who used digital devices to store information showed improved memory for both saved and unsaved information, with a notable increase in recall of less important details.
Researchers have developed a smartphone clip-on instrument that can rapidly detect Zika virus in whole blood using spatial RT-LAMP technology. The device is sensitive, accurate, and easy to use, making it ideal for point-of-care clinics and controlling the spread of infectious diseases.
The ClearBuds earbuds use a novel microphone system and real-time machine-learning to enhance the speaker's voice and reduce background noise. They achieved better performance than Apple AirPods Pro in signal-to-distortion ratio tests.
A recent analysis found that Big Tech companies can provide innovative financial services to people excluded from traditional banking, improving financial inclusion. However, the authors caution that without proper education, these services may introduce risks to financial stability.
Researchers at Penn State discovered that people with high 'Fear-of-Missing-Out' and 'Need-to-Belong' personality traits check their phones significantly more often when in silent mode, staying on the phone longer as well. This suggests a one-size-fits-all approach to managing smartphone distractions may be misguided.
The BirdNET app uses AI to automatically identify bird species by sound, allowing users to contribute data without expertise. Since its launch in 2018, over 2.2 million people have contributed data, successfully replicating known patterns of song dialects and mapping bird migration across continents.
A joint UC Riverside and UC Irvine study found that people who show near transfer in brain training are more likely to experience far transfer, meaning improved focus and problem-solving skills. The research suggests that working memory training can be effective for certain individuals, but its impact on fluid intelligence remains deba...
Researchers from the University of Bath and Lancaster found that popular scales measuring technology use are related and poorly defined, failing to confirm 'addictive' behaviors. This calls into question current measures of digital technology use and its links to mental health and wellbeing.
Researchers at UC San Diego demonstrated that Bluetooth signals can be used to track individuals' movements with high accuracy. The team developed an algorithm that estimates two values found in Bluetooth signals, providing a unique fingerprint for each device.
Researchers developed a bumpy carbon-based material that maintains rechargeable storage capacity down to -31 F, improving lithium-ion batteries' performance in freezing temperatures. The new material enables electric cars to drive longer and reduces the risk of battery failure in extreme cold.
Researchers at Purdue University have developed edible fluorescent silk tags with QR codes to verify whiskey authenticity, which can be activated with a smartphone scan. The technology has the potential to combat fake medications and address counterfeiting issues worldwide.
A team of researchers at The University of Texas at Austin has developed components that will allow future devices to achieve increased speeds necessary for 6G. The new radio frequency switches are made of two-dimensional materials, taking significantly less energy to operate, and can provide low-energy, high-speed functions.
A study by UC San Diego Health found that sending patients a text message when their doctor is ready can reduce wait times and improve patient satisfaction. The 'telemedicine untethered' option showed a 55-minute time savings in clinic operations, with zero late appointments and increased flexibility for both patients and providers.
A new smartphone app using AI technology has been found to be as accurate as expert gastroenterologists in characterizing stool specimens. The app's ability to provide detailed descriptions of constipation, diarrhea, and normal stools surpasses that of patient reports.
A new app called HOPE, developed at UVA Health, aims to provide vital support to patients battling opioid-use disorder. The app offers a secure way to connect with care providers and an anonymous message board for sharing experiences and building healing relationships.