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    Is social media use a potentially addictive behavior? Maybe not

    Frequent use of social media may not amount to the same as addiction, according to research at the University of Strathclyde.
    The study invited 100 participants to locate specific social media apps on a simulated smartphone screen as quickly and accurately as possible, while ignoring other apps. The participants were varied in the extent and type of their social media use and engagement.
    The exercise aimed to assess whether social media users who reported the greatest level of use were more likely to have their attention drawn to the apps through a process known as ‘attentional bias,’ which is a recognised hallmark of addiction.
    It also assessed whether this bias was associated with scores on established measures of social media engagement and ‘addiction’.
    The findings did not indicate that users’ attention was drawn more to social media apps than to any others, such as a weather app; they were also not associated with self-reported or measurable levels of addictive severity. This contrasted with other studies which have shown attentional bias related to addictions such as gambling and alcohol.
    The research has been published in the Journal of Behavioural Addictions.
    Dr David Robertson, a Lecturer in Psychology at Strathclyde and a partner in the research, said: “Social media use has become a ubiquitous part of society, with 3.8 billion users worldwide. While research has shown that there are positive aspects to social media engagement, such as feelings of social connectedness and wellbeing, much of the focus has been on the negative mental health outcomes which are associated with excessive use, such as higher levels of depression and anxiety.
    “The evidence to support such negative associations is mixed but there is also a growing debate as to whether excessive levels of social media use should become a clinically defined addictive behaviour.
    “We did not find evidence of attentional bias. People who frequently checked and posted their social media accounts were no more likely to have their attention drawn to the icon of a social media app than those who check and post less often.
    “Much more research is required into the effects of social media use, both positive and negative, before definitive conclusions can be reached about the psychological effects of engagement with these platforms. Our research indicates that frequent social media use may not, at present, necessarily fit into traditional addiction frameworks.”
    Story Source:
    Materials provided by University of Strathclyde. Note: Content may be edited for style and length. More

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    Body mass index, age can affect your risk for neck pain

    With roughly 80% of jobs being sedentary, often requiring several hours of sitting stooped in front of a computer screen, neck pain is a growing occupational hazard. Smartphones and other devices have also caused people to bend their necks for prolonged periods. But is bad posture solely to blame?
    In a recent study, researchers at Texas A&M University have found that while poor neck and head postures are indeed the primary determinants of neck pain, body mass index, age and the time of the day also influence the neck’s ability to perform sustained or repeated movements.
    “Neck pain is one of the leading and fastest-growing causes of disability in the world,” said Xudong Zhang, professor in the Wm Michael Barnes ’64 Department of Industrial and Systems Engineering. “Our study has pointed to a combination of work and personal factors that strongly influence the strength and endurance of the neck over time. More importantly, since these factors have been identified, they can then be modified so that the neck is in better health and pain is avoided or deterred.”
    The results of the study are published online in the journal Human Factors, a flagship journal in the field of human factors and ergonomics.
    According to the Global Burden of Disease Study by the Institute for Health Metrics and Evaluation, neck pain is ranked as the fourth leading cause of global disability. One of the main reasons for neck pain has been attributed to lifestyle, particularly when people spend long durations of time with their necks bent forward. However, Zhang said a systematic, quantitative study has been lacking on how personal factors, such as sex, weight, age and work-related habits, can affect neck strength and endurance.
    For their experiments, Zhang and his team recruited 20 adult men and 20 adult women with no previous neck-related issues to perform controlled head-neck exertions in a laboratory setting. Instead of asking the participants to hold a specific neck posture for a long time, similar to what might happen at a workplace, they performed “sustained-till exhaustion” head-neck exertions. More

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    Researchers use AI to empower environmental regulators

    Monitoring environmental compliance is a particular challenge for governments in poor countries. A new machine learning approach that uses satellite imagery to pinpoint highly polluting brick kilns in Bangladesh could provide a low-cost solution. Like superheroes capable of seeing through obstacles, environmental regulators may soon wield the power of all-seeing eyes that can identify violators anywhere at any time, according to a new Stanford University-led study. The paper, published the week of April 19 in Proceedings of the National Academy of Sciences (PNAS), demonstrates how artificial intelligence combined with satellite imagery can provide a low-cost, scalable method for locating and monitoring otherwise hard-to-regulate industries.
    “Brick kilns have proliferated across Bangladesh to supply the growing economy with construction materials, which makes it really hard for regulators to keep up with new kilns that are constructed,” said co-lead author Nina Brooks, a postdoctoral associate at the University of Minnesota’s Institute for Social Research and Data Innovation who did the research while a PhD student at Stanford.
    While previous research has shown the potential to use machine learning and satellite observations for environmental regulation, most studies have focused on wealthy countries with dependable data on industrial locations and activities. To explore the feasibility in developing countries, the Stanford-led research focused on Bangladesh, where government regulators struggle to locate highly pollutive informal brick kilns, let alone enforce rules.
    A growing threat
    Bricks are key to development across South Asia, especially in regions that lack other construction materials, and the kilns that make them employ millions of people. However, their highly inefficient coal burning presents major health and environmental risks. In Bangladesh, brick kilns are responsible for 17 percent of the country’s total annual carbon dioxide emissions and — in Dhaka, the country’s most populous city — up to half of the small particulate matter considered especially dangerous to human lungs. It’s a significant contributor to the country’s overall air pollution, which is estimated to reduce Bangladeshis’ average life expectancy by almost two years.
    “Air pollution kills seven million people every year,” said study senior author Stephen Luby, a professor of infectious diseases at Stanford’s School of Medicine. “We need to identify the sources of this pollution, and reduce these emissions.”
    Bangladesh government regulators are attempting to manually map and verify the locations of brick kilns across the country, but the effort is incredibly time and labor intensive. It’s also highly inefficient because of the rapid proliferation of kilns. The work is also likely to suffer from inaccuracy and bias, as government data in low-income countries often does, according to the researchers. More

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    New algorithm uses online learning for massive cell data sets

    The fact that the human body is made up of cells is a basic, well-understood concept. Yet amazingly, scientists are still trying to determine the various types of cells that make up our organs and contribute to our health.
    A relatively recent technique called single-cell sequencing is enabling researchers to recognize and categorize cell types by characteristics such as which genes they express. But this type of research generates enormous amounts of data, with datasets of hundreds of thousands to millions of cells.
    A new algorithm developed by Joshua Welch, Ph.D., of the Department of Computational Medicine and Bioinformatics, Ph.D. candidate Chao Gao and their team uses online learning, greatly speeding up this process and providing a way for researchers world-wide to analyze large data sets using the amount of memory found on a standard laptop computer. The findings are described in the journal Nature Biotechnology.
    “Our technique allows anyone with a computer to perform analyses at the scale of an entire organism,” says Welch. “That’s really what the field is moving towards.”
    The team demonstrated their proof of principle using data sets from the National Institute of Health’s Brain Initiative, a project aimed at understanding the human brain by mapping every cell, with investigative teams throughout the country, including Welch’s lab.
    Typically, explains Welch, for projects like this one, each single-cell data set that is submitted must be re-analyzed with the previous data sets in the order they arrive. Their new approach allows new datasets to the be added to existing ones, without reprocessing the older datasets. It also enables researchers to break up datasets into so-called mini-batches to reduce the amount of memory needed to process them.
    “This is crucial for the sets increasingly generated with millions of cells,” Welch says. “This year, there have been five to six papers with two million cells or more and the amount of memory you need just to store the raw data is significantly more than anyone has on their computer.”
    Welch likens the online technique to the continuous data processing done by social media platforms like Facebook and Twitter, which must process continuously-generated data from users and serve up relevant posts to people’s feeds. “Here, instead of people writing tweets, we have labs around the world performing experiments and releasing their data.”
    The finding has the potential to greatly improve efficiency for other ambitious projects like the Human Body Map and Human Cell Atlas. Says Welch, “Understanding the normal complement of cells in the body is the first step towards understanding how they go wrong in disease.”
    Story Source:
    Materials provided by Michigan Medicine – University of Michigan. Original written by Kelly Malcom. Note: Content may be edited for style and length. More

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    DNA robots designed in minutes instead of days

    Someday, scientists believe, tiny DNA-based robots and other nanodevices will deliver medicine inside our bodies, detect the presence of deadly pathogens, and help manufacture increasingly smaller electronics.
    Researchers took a big step toward that future by developing a new tool that can design much more complex DNA robots and nanodevices than were ever possible before in a fraction of the time.
    In a paper published today (April 19, 2021) in the journal Nature Materials, researchers from The Ohio State University — led by former engineering doctoral student Chao-Min Huang — unveiled new software they call MagicDNA.
    The software helps researchers design ways to take tiny strands of DNA and combine them into complex structures with parts like rotors and hinges that can move and complete a variety of tasks, including drug delivery.
    Researchers have been doing this for a number of years with slower tools with tedious manual steps, said Carlos Castro, co-author of the study and associate professor of mechanical and aerospace engineering at Ohio State.
    “But now, nanodevices that may have taken us several days to design before now take us just a few minutes,” Castro said. More

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    Materials advances are key to development of quantum hardware

    A new study outlines the need for materials advances in the hardware that goes into making quantum computers if these futuristic devices are to surpass the abilities of the computers we use today.
    The study, published in the journal Science by an international team, surveyed the state of research on quantum computing hardware with the goal of illustrating the challenges and opportunities facing scientists and engineers.
    While conventional computers encode “bits” of information as ones and zeroes, quantum computers breeze past this binary arrangement by creating “qubits,” which can be complex, continuous quantities. Storing and manipulating information in this exotic form — and ultimately reaching “quantum advantage” where quantum computers do things that conventional computers cannot — requires sophisticated control of the underlying materials.
    “There has been an explosion in developing quantum technologies over the last 20 years,” said Nathalie de Leon, assistant professor of electrical and computer engineering at Princeton University and the lead author of the paper, “culminating in current efforts to show quantum advantage for a variety of tasks, from computing and simulation to networking and sensing.”
    Until recently, most of this work has aimed to demonstrate proof-of-principle quantum devices and processors, de Leon said, but now the field is poised to address real-world challenges.
    “Just as classical computing hardware became an enormous field in materials science and engineering in the last century, I think the quantum technologies field is now ripe for a new approach, where materials scientists, chemists, device engineers and other scientists and engineers can productively bring their expertise to bear on the problem.”
    The paper is a call to scientists who study materials to turn to the challenge of developing hardware for quantum computing, said Hanhee Paik, corresponding author and a research staff member at IBM Quantum. More

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    How to make online arguments productive

    The internet seems like the place to go to get into fights. Whether they’re with a family member or a complete stranger, these arguments have the potential to destroy important relationships and consume a lot of emotional energy.
    Researchers at the University of Washington worked with almost 260 people to understand these disagreements and to develop potential design interventions that could make these discussions more productive and centered around relationship-building. The team published these findings this April in the latest issue of the Proceedings of the ACM in Human Computer Interaction Computer-Supported Cooperative Work.
    “Despite the fact that online spaces are often described as toxic and polarizing, what stood out to me is that people, surprisingly, want to have difficult conversations online,” said lead author Amanda Baughan, a UW doctoral student in the Paul G. Allen School of Computer Science & Engineering. “It was really interesting to see that people are not having the conversations they want to have on online platforms. It pointed to a big opportunity to design to support more constructive online conflict.”
    In general, the team said, technology has a way of driving users’ behaviors, such as logging onto apps at odd times to avoid people or deleting enjoyable apps to avoid spending too much time on them. The researchers were interested in the opposite: how to make technology respond to people’s behaviors and desires, such as to strengthen relationships or have productive discussions.
    “Currently many of the designed features that users leverage during an argument support a no-road-back approach to disagreement — if you don’t like someone’s content, you can unfollow, unfriend or block them. All of those things cut off relationships instead of helping people repair them or find common ground,” said senior author Alexis Hiniker, an assistant professor in the UW Information School. “So we were really driven by the question of how do we help people have hard conversations online without destroying their relationships?”
    The researchers did their study in three parts. First, they interviewed 22 adults from the Seattle area about what social media platforms they used and whether they felt like they could talk about challenging topics. The team also asked participants to brainstorm potential ways that these platforms could help people have more productive conversations. More

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    Wearable sensors that detect gas leaks

    Gas accidents such as toxic gas leakage in factories, carbon monoxide leakage of boilers, or toxic gas suffocation during manhole cleaning continue to claim lives and cause injuries. Developing a sensor that can quickly detect toxic gases or biochemicals is still an important issue in public health, environmental monitoring, and military sectors. Recently, a research team at POSTECH has developed an inexpensive, ultra-compact wearable hologram sensor that immediately notifies the user of volatile gas detection.
    A joint research team led by Professor Junsuk Rho of departments of mechanical and chemical engineering and Dr. Inki Kim of Department of Mechanical Engineering with Professor Young-Ki Kim and Ph.D. candidate Won-Sik Kim of Department of Chemical Engineering at POSTECH has integrated metasurface with gas-reactive liquid crystal optical modulator to develop a sensor that provides an immediate visual holographic alarm when harmful gases are detected. The findings from this study were published in Science Advances on April 7, 2021.
    For those working in hazardous environments such as petrochemical plants, gas sensors are life. However, conventional gas sensing devices are not widely used due to their high cost of being made with complex machines and electronic devices. In addition, commercial gas sensors have limitations in that they are difficult to use, and have poor portability and reaction speed.
    To solve these issues, the research team utilized the metasurface, well known as a future optical device known to have the invisible cloak effect through making visible objects disappear by controlling the refractive index of light. Metasurface is especially used to transmit two-way holograms or 3D video images by freely controlling light.
    Using the metasurface, the research team developed a gas sensor that can float a holographic image alarm in space in just a few seconds by using the polarization control of transmitted light that transforms due to the change in orientation of liquid crystal molecules in the liquid crystal layer inside the sensor device when exposed to gas. Moreover, this gas sensor developed by the research team requires no support from external mechanical or electronic devices, unlike other conventional commercial gas sensors. The researchers used isopropyl alcohol as the target hazardous gas, known as a toxic substance that can cause stomach pain, headache, dizziness, and even leukemia.
    The newly developed sensor was confirmed to detect even the minute amount of gas of about 200ppm. In an actual experiment using a board marker, a volatile gas source in our daily life, a visual holographic alarm popped up instantaneously the moment the marker was brought to the sensor.
    Moreover, the research team developed a one-step nanocomposite printing method to produce this flexible and wearable gas sensor. The metasurface structure, which was previously processed on a hard substrate, was designed to enable rapid production with a single-step nanocasting process on a curved or flexible substrate.
    When the flexible sensor fabricated using this method attaches like a sticker on safety glasses, it can detect gas and display a hologram alarm. It is anticipated to be integrable with glass-type AR display systems under development at Apple, Samsung, Google, and Facebook.
    Going a step further, the research team is developing a high-performance environmental sensor that can display the type and concentration level of gases or biochemicals in the surroundings with a holographic alarm, and is studying optical design techniques that can encode various holographic images. If these studies are successful, they can be used to reduce accidents caused by biochemical or gas leaks.
    “This newly developed ultra-compact wearable gas sensor provides a more intuitive holographic visual alarm than the conventional auditory or simple light alarms,” remarked Prof. Junsuk Rho. “It is anticipated to be especially effective in more extreme work environments where acoustic and visual noise are intense.” More