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BATON ROUGE – Since the Big Bang, the early universe had hydrogen, helium, and a scant amount of lithium. Later, some heavier elements, including iron, were forged in stars. But one of the biggest mysteries in astrophysics is: How did the first elements heavier than iron, such as gold, get created and distributed throughout the universe? A new answer has come from an unexpected place – magnetars. Neutron stars are the collapsed cores of stars that have exploded. They are so dense that one teaspoon of neutron star material, on Earth, would weigh as much as a billion tons. A magnetar is a neutron star with an extremely powerful magnetic field. On rare occasions, magnetars release an enormous amount of high-energy radiation when they undergo “starquakes,” which, like earthquakes, fracture the neutron star’s crust. Starquakes may also be associated with powerful bursts of radiation called magnetar giant flares, which can even affect Earth’s atmosphere. Only three magnetar giant flares have been observed in the Milky Way and the nearby Large Magellanic Cloud, and seven from other nearby galaxies. Astrophysicist Eric Burns and his team of researchers at Louisiana State University in Baton Rouge study magnetars extensively through the observation of gamma-rays. These are the most energetic photons, most famous for turning Bruce Banner into the Incredible Hulk. Burns joined with researchers at Columbia University and other institutions to see if we could use gamma-rays to understand if magnetar giant flares forge the heaviest elements, and unexpectedly found the smoking-gun signature in decades-old data. The study, led by Anirudh Patel, a doctoral student at Columbia University in New York, is published in The Astrophysical Journal Letters. “It’s answering one of the questions of the century and solving a mystery using archival data that people had just forgotten about, demonstrating something that occurred when the Universe was younger,” said Burns. “Giant flares should occur just after the first stars died, meaning we have identified what could be the origin of the first gold in the universe.” How could gold be made at a magnetar? Patel and colleagues, including his advisor Brian Metzger, Professor at Columbia University and senior research scientist at the Flatiron Institute in New York, have been thinking about how radiation from giant flares could correspond to heavy elements forming there. This would happen through a “rapid process” of neutrons forging lighter atomic nuclei into heavier ones. Protons define the element’s identity on the periodic table: hydrogen has 1 proton, helium has 2, lithium has 3, and so on. Atoms also have neutrons which do not affect identity, but do add mass. Sometimes when an atom captures an extra neutron the atom becomes unstable and a nuclear decay process happens that converts a neutron into a proton, moving the atom forward on the periodic table. This is how, for example, a gold atom could take on an extra neutron and then transform into mercury. In the unique environment of a disrupted neutron star, in which the density of neutrons is extremely high, something even stranger happens: single atoms can rapidly capture so many neutrons that they undergo multiple decays, leading to the creation of a much heavier element like uranium. When astronomers observed the collision of two neutron stars in 2017 using NASA telescopes and the gravitational wave observatory LIGO, they confirmed that this event could have created gold, platinum, and other heavy elements. “LIGO tells us there was a merger of compact objects, and Fermi tells us there was a short gamma-ray burst. Together, we know that what we observed was the merging of two neutron stars, dramatically confirming the relationship,” said Burns. But neutron star mergers happen too late in the universe’s history to explain the earliest gold and other heavy elements. Finding secrets in old data At first, Metzger and colleagues thought that the easiest signature to study from the creation and distribution of heavy elements at a magnetar would appear in the visible and ultraviolet light, and published their predictions. But Burns in Louisiana wondered if there could be a gamma ray signal bright enough to be detected, too. He asked Metzger and Patel to work out what that signal could look like. Burns looked up the gamma ray data from the last giant flare that was observed, which was in December 2004. He realized that while scientists had explained the beginning of the outburst, they had also identified a smaller signal from the magnetar, in data from ESA (European Space Agency)’s INTEGRAL, a retired mission with NASA contributions. “It was noted at the time, but nobody had any conception of what it could be,” Burns said. Metzger remembers that Burns thought he and Patel were “pulling his leg” because the prediction from their team’s model so closely matched the mystery signal in the 2004 data. In other words, the gamma ray signal detected over 20 years ago corresponded to what thought it should look like when heavy elements are created and then distributed in a magnetar giant flare. "This is my favorite discovery I've contributed to,” said Burns. “My colleagues found this signal in the past, but nobody knew what it could be at the time. Once these models were ready, everything fit like a perfect puzzle, which is extremely rare in science." Researchers supported their conclusion using data from two NASA heliophysics missions: the retired RHESSI (Reuven Ramaty High Energy Solar Spectroscopic Imager) and the ongoing NASA Wind satellite, which had also observed the magnetar giant flare. Other collaborators on the new study included Jared Goldberg at the Flatiron Institute. Next steps in the magnetar gold rush Patel’s study estimates that magnetar giant flares could contribute about 10% of the total abundance of elements heavier than iron in the galaxy. Since magnetars existed relatively early in the history of the universe, the first gold could have been created this way. LSU PhD candidate Aaron Trigg, a NASA FINESST (Future Investigators in NASA Earth and Space Science and Technology) fellow, who works with Burns, is responsible for finding more magnetar giant flares to study. “These are gargantuan outbursts of energy from the strongest magnets in the Universe, which are powerful enough to affect Earth’s atmosphere,” said Burns. Trigg’s work will help us better understand these sources.” NASA’s forthcoming COSI (Compton Spectrometer and Imager) mission can follow up on these results. COSI, a wide-field gamma ray telescope, is expected to launch in 2027 and will study energetic phenomena in the cosmos, such as magnetar giant flares. COSI will be able to identify individual elements created in these events, providing a new advancement in understanding the origin of the elements. LSU is one of the lead science institutes for COSI. Burns and LSU Assistant Professor Michela Negro have key responsibilities in the mission, and Trigg is working through how best to study giant flares with COSI. These LSU astrophysicists will be growing their research group as they approach launch in 2027. “I have so many questions about the cosmos and our place in it,” said Trigg. “This research allows me to explore those questions and share the answers with the world.”
Digital Dementia: Does Technology Use by ‘Digital Pioneers’ Correlate to Cognitive Decline?
As the first generation that interacted with digital technology reaches an age where dementia risks emerge, scientists have asked the question: Is there a correlation between digital technology use and an increased risk of dementia? With the phrases “brain rot” and “brain drain” circulating on social media, it would appear that most people would assume the answer is yes. However, a new study in Nature Human Behavior by neuroscientists at Baylor University and the University of Texas at Austin Dell Medical School reveals the opposite – digital technologies are actually associated with reduced cognitive decline. The study – A meta-analysis of technology use and cognitive aging – was sparked by the ongoing concern about the passive activity of digital technologies and their relation to accelerating risks of dementia. Study co-authors are Jared F. Benge, Ph.D., clinical neuropsychologist and associate professor of neurology at Dell Medical School and UT Health Austin’s Comprehensive Memory Center within the Mulva Clinic for the Neurosciences, and Michael K. Scullin, Ph.D., associate professor of psychology and neuroscience at Baylor. “You can flip on the news on just about any day and you’ll see people talking about how technologies are harming us,” Scullin said. “People often use the terms ‘brain drain’ and ‘brain rot,’ and now digital dementia is an emerging phrase. As researchers, we wanted to know if this was true.” The “digital dementia” hypothesis predicts that a lifetime of exposure to digital technology will worsen cognitive abilities. On the contrary, the study’s findings challenge this hypothesis, indicating instead that engagement with digital technology fosters cognitive resilience in these adults. Reviewing more than 136 studies with data that encompassed over 400,000 adults, and longitudinal studies with an average of 6 years of follow-up data, Scullin and Benge found compelling evidence that digital technology use is associated with better cognitive aging outcomes, rather than harm. The researchers’ study supported the “technological reserve” hypothesis, finding that digital technologies can promote behaviors that preserve cognition. In fact, their study revealed that digital technology use correlates with a 58% lower risk of cognitive impairment. This pattern of cognitive protection persisted when the researchers controlled for socioeconomic status, education, age, gender, baseline cognitive ability, social support, overall health, and engagement with mental activities like reading that might have explained the findings. Increase in problem-solving skills Scullin said that for some, these findings are surprising as technology use is often associated with being sedentary both physically and mentally. However, for the current generation of older adults who were introduced to the first technological advancements – computers, the Internet and smartphones – past their childhood, using technology is cognitively challenging because it is everchanging. “One of the first things that middle-age and older adults were saying is that ‘I’m so frustrated by this computer. This is hard to learn.’ That's actually a reflection of the cognitive challenge, which may be beneficial for the brain even if it doesn’t feel great in the moment.” Scullin said. Technology requires constant adaption, he said, such as understanding new software updates, troubleshooting Internet loss or filtering out website ads. “If you’re doing that for years and you’re really engaging with it, even though you might experience frustration, that may be a sign of you exercising your brain,” he said. Social connection Technology also enables communication and engagement like never before, which can expand opportunities for connectivity. Video calls, emails and messaging apps help maintain social networks, especially for people who would not otherwise regularly see their family members. “Now you can connect with families across generations,” Scullin said. “You not only can talk to them, you can see them. You can share pictures. You can exchange emails and it's all within a second or less. So that means there's a greater opportunity for decreasing loneliness.” Better social connectedness is a well-documented correlate of cognitive functioning in older adults, providing a link between decreased isolation from digital technologies and reduced risks of dementia. Impact of “digital scaffolding” A dementia diagnosis is indicated in part when cognitive changes lead to a loss of independence with daily tasks. Tools such as digital reminders, GPS navigation and online banking allow older adults to remain independent despite cognitive difficulties through digital scaffolding. According to the research article, this digital scaffold “facilitates better functional outcomes in older adults while general cognitive functioning declines.” Technologies can serve as a compensatory support system to maintain general independence and reduce the risk of a dementia diagnosis even with the presence of some cognitive decline. “As clinical practice continues to move toward an individualized, precision-medicine approach, it will be necessary for the field to identify for whom and for how long, such digital scaffolding is effective,” the researchers said. Promoting healthy technology use While Scullin recognizes the negative effects of technology, such as distracted driving or using technology over consistent face-to-face interaction, he also emphasizes how promoting a healthy use of digital tools in older adults is beneficial for their cognitive health. “If you have a parent or grandparent who’s just staying away from technology, maybe revisit that. Could they learn to use photo, messaging, or calendar apps on a smartphone or tablet? Start simple and be very patient while they learn,” he said. Social media use is another highly debated topic in terms of cognitive effects. While he says it’s hard to predict the cognitive effects of endlessly scrolling on TikTok, Scullin does argue that generating videos through creative cognition could be beneficial. In addition, he said that interacting with communities online can provide benefits by forming social connections. “We could spend a long time talking about all the specific ways in which technology use can be bad. However, the net effect since the 1990s has been positive for overall cognition in older adults,” he said. FUNDING The study was supported by funding from the National Institutes of Health (R01AG082783; M.K.S., J.F.B.). Michael Scullin was named Baylor’s inaugural Newsmaker of the Year in 2018, after his “to-do list” research was widely covered by media outlets, including ABC’s Good Morning America, TODAY.com, USA TODAY, Discover, LiveScience, HealthDay, BBC Radio and many more, reaching an international circulation and viewership of nearly 1 billion people. Looking to interview or chat with Michael Scullin? Simply click on his icon now to arrange an interview today.
AI-powered model predicts post-concussion injury risk in college athletes
Athletes who suffer a concussion have a serious risk of reinjury after returning to play, but identifying which athletes are most vulnerable has always been a bit of a mystery, until now. Using artificial intelligence (AI), University of Delaware researchers have developed a novel machine learning model that predicts an athlete’s risk of lower-extremity musculoskeletal (MKS) injury after concussion with 95% accuracy. A recent study published in Sports Medicine details the development of the AI model, which builds on previously published research showing that the risk of post-concussion injury doubles, regardless of the sport. The most common post-concussive injuries include sprains, strains, or even broken bones or torn ACLs. “This is due to brain changes we see post-concussion,” said Thomas Buckley, professor of kinesiology and applied physiology at the College of Health Sciences. These brain changes affect athletes’ balance, cognition, and reaction times and can be difficult to detect in standard clinical testing. “Even a minuscule difference in balance, reaction time, or cognitive processing of what’s happening around you can make the difference between getting hurt and not,” Buckley said. How AI is changing injury risk assessment Recognizing the need for enhanced injury reduction risk tools, Buckley collaborated with colleagues in UD’s College of Engineering, Austin Brockmeier, assistant professor of electrical and computer engineering, and César Claros, a fourth-year doctoral student; Wei Qian, associate professor of statistics in the College of Agriculture and Natural Resources; and former KAAP postdoctoral fellow Melissa Anderson, who’s now an assistant professor at Ohio University. To assess injury risk, Brockmeier and Claros developed a comprehensive AI model that analyzes more than 100 variables, including sports and medical histories, concussion type, and pre- and post-concussion cognitive data. “Every athlete is unique, especially across various sports,” said Brockmeier. “Tracking an athlete’s performance over time, rather than relying on absolute values, helps identify disturbances, deviations, or deficits that, when compared to their baseline, may signal an increased risk of injury.” While some sports, such as football, carry higher injury risk, the model revealed that individual factors are just as important as the sport played. “We tested a version of the model that doesn’t have access to the athlete’s sport, and it still accurately predicted injury risk,” Brockmeier said. “This highlights how unique characteristics—not just the inherent risks of a sport—play a critical role in determining the likelihood of future injury,” said Brockmeier. The research, which tracked athletes over two years, also found that the risk of MSK injury post-concussion extends well into the athlete’s return to play. “Common sense would suggest that injuries would occur early in an athlete’s return to play, but that’s simply not true,” said Buckley. “Our research shows that the risk of future injury increases over time as athletes compensate and adapt to small deficits they may not even be aware of.” The next step for Buckey’s Concussion Research Lab is to further collaborate with UD Athletics’ strength and conditioning staff to design real-time interventions that could reduce injury risk. Beyond sports: AI’s potential in aging research The implications of the UD-developed machine-learning model extend far beyond sports. Brockmeier believes the algorithm could be used to predict fall risk in patients with Parkinson’s disease. Claros is also exploring how the injury risk reduction model can be applied to aging research with the Delaware Center for Cognitive Aging. “We want to use brain measurements to investigate whether baseline lifestyle measurements such as weight, BMI, and smoking history are predictive of future mild cognitive impairment or Alzheimer’s disease,” said Claros. To arrange an interview with Buckley, email UD's media relations team at MediaRelations@udel.edu
A final disbursement of $8.8 million completes the $17.8 million grant awarded by the Department of Defense (DoD) to Virginia Commonwealth University’s (VCU) Convergence Lab Initiative (CLI). The funding allows CLI to continue advancing research in the areas of quantum and photonic devices, microelectronics, artificial intelligence, neuromorphic computing, arts and biomedical science. “The Convergence Lab Initiative represents a unique opportunity to drive innovation at the intersection of advanced technologies, preparing our students to tackle the critical challenges of tomorrow,” said Nibir Dhar, Ph.D., electrical and computer engineering professor and CLI director. “By combining cutting-edge research in electro-optics, infrared, radio frequency and edge computing, we are equipping the next generation of engineers with the skills to shape the future of both defense and commercial industries.” Working with Industry Partnership is at the heart of CLI and what makes the initiative unique. CivilianCyber, Sivananthan Laboratories and the University of Connecticut are among several collaborators focusing on cutting-edge, multidisciplinary research and workforce development. The lightweight, low-power components CLI helps develop are capable of transforming military operations and also have commercial applications. The Convergence Lab Initiative has 25 collaborative projects in this area focused on: Electro-optic and Infrared Technologies: Enhancing thermal imaging for medical diagnostics, search-and-rescue operations and environmental monitoring. This improves military intelligence, surveillance and reconnaissance capabilities. Radio Frequency and Beyond 5G Communication: Developing ultra-fast, low-latency communication systems for autonomous vehicles, smart cities and telemedicine. Accelerating advancements in this area also address electronic warfare challenges and security vulnerabilities. Optical Communication in the Infrared Wavelength: Increasing data transmission rates to create more efficient networks that support cloud computing, data centers, AI research and covert military communications. Edge Technologies: Creating low size, weight and low power-consuming (SWaP) computing solutions for deployment in constrained environments, such as wearables, medical devices, internet of things devices and autonomous systems. These technologies enhance real-time decision-making capabilities for agriculture, healthcare, industrial automation and defense. Benefits for Students College of Engineering students at VCU have an opportunity to engage with cutting-edge research as part of the DoD grant. Specialized workforce development programs, like the Undergraduate CLI Scholars Program, provide hands-on experience in advanced technologies. The STEM training also includes students from a diverse range of educational backgrounds to encourage a cross-disciplinary environment. Students can also receive industry-specific training through CLI’s Skill-Bridge Program, which facilitates direct connections between business needs and academic education. Unlike the DoD program for transitioning military personnel, the CLI Skill-Bridge is open to students from VCU and other local universities, creating direct connections between industry needs and academic training. This two-way relationship between academia and industry is unlike traditional academic research centers. With the College of Engineering’s focus on public-private partnerships, VCU becomes a registered partner with the participating businesses, collaborating to design individualized training programs focused on the CLI’s core research areas. This approach ensures students receive relevant, up-to-date training while companies gain access to a pipeline of skilled talent familiar with the latest industry trends and innovations. “The significance of this grant extends beyond immediate research outcomes. It addresses critical capability gaps for both the DoD and commercial sectors,” says Dhar. “This dual-use approach maximizes DoD investment impacts and accelerates innovation in areas that affect everyday life — from healthcare and environmental monitoring to communication networks and smart infrastructure. Breakthroughs emerging from these collaborations will strengthen national security while creating commercial spinoffs that drive economic growth and improve quality of life for communities both locally and globally. Advances in infrared technology, in particular, will position the VCU College of Engineering as a center for defense technologies and new ideas.”
What's Your Retirement Plan B?
Chances are, you have seen the ups and downs in the financial markets, which can really cause seniors a lot of anxiety when looking at those portfolio statements. Add to that the ripple effects of the Canada-U.S. trade war, and it’s more essential than ever to have a Plan B. The Trade War Is Personal The Canada-U.S. trade tensions may appear to be a political issue, but their repercussions are directly impacting kitchen tables across the country. Inflation is increasing the cost of everyday essentials, while investments—on which many retirees depend for income—are suffering. For those who cannot easily re-enter the workforce, this situation is more than just inconvenient. It’s stressful. Withdrawing investments during a market dip can permanently reduce your savings. Meanwhile, rising prices on everything from apples to arthritis medication stretch fixed incomes thinner than ever. This isn’t just about budgeting anymore —it's about building a wise financial safety net. Plan B Matters More in Retirement You’ve worked hard to reach this point. Retirement should be about freedom, not fear. However, having a backup plan is essential since there are limited ways to generate new income. Think of Plan B as your financial airbag — something you hope you never need, but you're grateful it's there when life encounters a bump. And let’s be honest: even the most well-padded retirement can use a little backup when the economy’s doing somersaults. The Simple Economics of Cashflow Managing your finances boils down to a straightforward equation: money in versus money out. Think of it as balancing a seesaw—on one side, you have your income (cash in), and on the other, your expenses (cash out). For seniors, especially those on a fixed income, keeping this balance is crucial. Boosting Your Income Even in retirement, there are ways to add a little extra to your “money in” side. This could be through part-time work, turning a hobby into a small business, or renting out unused space in your home. Every additional dollar earned can provide more breathing room in your budget. Another option for many Canadians, is right under their feet—their homes. Home equity can be a powerful tool, giving them access to funds without selling or downsizing. Here are some practical options you may want to consider: Home Equity Line of Credit (HELOC): If you qualify, a HELOC offers flexible access to funds and charges interest only on the amount you use. It’s perfect for short-term needs or emergency access. Remember, you’ll need to make monthly payments and provide proof of income to qualify. Manulife One is a creative and customizable solution that combines your mortgage, income, and savings into a single account. It allows you to borrow against your home with greater flexibility. Payments are required but can be made within the available limit. Qualifying is similar to a HELOC. Reverse Mortgage: For homeowners aged 55 and older, a reverse mortgage allows you to access your home equity without the need for monthly payments. The loan is repaid when you sell or move, providing you with freedom and cash flow while remaining in your home. These tools can help ensure you're not forced to withdraw from investments during market downturns, letting your money recover while you stay comfortable. Trimming Your Expenses On the flip side, reducing your “money out” can be equally, if not more, effective. Perhaps you have subscriptions you no longer use for streaming services or mobile phone plans. Or you find you are purchasing too many items at the store because you aren’t preparing a list. Or you are dining out multiple times a week. Remember, every dollar you don’t spend is a dollar saved. Let’s unpack this a bit more, looking at this from a tax perspective Understanding the After-Tax Advantage of Cost Reduction For seniors supplementing their income with part-time work, it’s crucial to recognize that reducing expenses can be more impactful than earning additional income, primarily due to the effects of taxation. For example, let’s consider part-time income at a marginal tax rate of 30%. -------------------------------------------------------------------------------------------------- • To have an extra $100 in your pocket after taxes, you’d need to earn approximately $142.86 before taxes. This is because 30% of $142.86 is $42.86, leaving you with $100 after tax. • Conversely, if you reduce your expenses by $100, you effectively save the full amount. There’s no tax on money you don’t spend. Why This Matters: Every dollar saved is equivalent to more than a dollar earned when considering taxes. This means that focusing on cost-saving measures can be a more efficient strategy for improving your financial situation than seeking additional taxable income. 3 Major Strategies to Help You Cut Costs Budgeting: Prioritize identifying and eliminating unnecessary expenses. Regularly review subscriptions, dining habits, and utility plans to find areas where you can cut back. Smart Shopping: Utilize discounts, loyalty programs, and bulk purchasing options to reduce spending on essentials. Tax Planning: Be aware of how additional income might affect your tax bracket and eligibility for income-tested benefits. Sometimes, earning more can inadvertently reduce certain government benefits. Saving Smart – Some Tips to Get Started Your Plan B doesn’t have to focus solely on earning more income or borrowing. Sometimes, the best backup plan begins with cutting the extras. Think of it as being retro cool — just like you were before it became trendy. Tip #1: Rethink Dining Out - A Once-A-Week Treat, Not a Routine I love to dine out. It’s great to leave the cooking to someone else, especially after a busy day. But this is also one of the fastest ways to drain your budget. In Toronto, the average cost of a casual dinner for two with wine is around $90–$120. Opt for a more upscale spot? You’re likely looking at $150+ after tax and tip. Savings Tips • Cutting out one dinner per week could save approximately $400–$500/month or $5,000–$6,000/year. • Think about hosting a monthly dinner with friends at home where everyone brings a dish. You’ll still enjoy social time—but for a fraction of the cost. Or maybe try organizing a game night. Perhaps it’s euchre or cribbage, or maybe charades they all have something in common (they don’t require a monthly fee). Organize a potluck to bring people together. Twister might be off the table (unless your chiropractor is on standby), but laughter and connection are always in season. • Also think about how you can share resources. From ride-shares to splitting bulk grocery purchases with a neighbor, the old-school approach of sharing is making a comeback. It’s like carpooling, but with avocados and streaming passwords. Tip #2 Review Your Subscriptions - What are you Really Using? Have you already binge-watched all the episodes of your favourite shows, but you are still paying for streaming services you haven’t used in months? Then it’s time to cancel some subscriptions. According to the Convergence Consulting Group The average Canadian household now spends $70–$90/month on streaming and digital services (Netflix, Disney+, Prime Video, Spotify, etc.). Many people are paying too much for mobile. According to the CRTC, the average Canadian pays $64/month for mobile service. Seniors who negotiate can often reduce this to $35–$45/month—a 30–40% savings. Savings Tips: • Audit Your Subscriptions: Write down every monthly and yearly subscription you have. Even cutting or optimizing 2 or 3 could save $30–$50/month. • Cancel subscriptions you don’t use often. You can always resubscribe later. Instead of paying for four platforms and using a few, consider rotating through them one at a time. You’ll be surprised at how quickly you can catch up on your favorites. Many streaming platforms also offer free trials or cheaper, ad-supported versions. • Call Your Mobile Phone & Internet Carrier Once a Year. Most people don’t realize how much loyalty can cost them. New customers often get much better deals than long-standing ones. When you call, here are some questions to ask: “Am I on the best plan for my usage?” “Are there any promotions I qualify for?” “Can I get a loyalty discount?” “Do you offer special discounts for seniors?” Keep in mind there are also senior-specific mobile plans from carriers like Zoomer Wireless, Public Mobile, or SpeakOut. • Don’t be shy about taking your business elsewhere. Carriers don’t want to lose subscribers and have special offers designed to make you want to stay. You’d be surprised how quickly they "find" a discount. Savings Tip #3: Don’t Throw Out Those Flyers and Coupons With inflation pushing up grocery prices, shopping smart matters more than ever. According to Statistics Canada, the average Canadian household now spends $1,065/month on groceries. So, it may be time to pay attention to those grocery store flyers you used to throw out. While Canadian data on potential savings is limited, US studies show that flyers and couponing can reduce costs by 10–25% for groceries and other household items if used consistently. Savings Tips: • Use apps like Flipp or visit sites like Smart Canuks to find online flyers you may have missed. • Sign up for loyalty cards to access extra discounts. One of the most popular savings programs, PC Optimum, offers frequent discounts and helps you collect points at Shoppers Drug Mart and Loblaws. Also, remember to swipe loyalty cards at the pump; many gas retailers offer discounts that can add up. • Consider shopping at stores like Walmart, which have pricing-matching policies for identical items you find advertised elsewhere. Saving Tip #4: Cut the “Daily Habits” That Add Up Remember, it’s not just the big expenses—it’s the daily ones that sneak up on you. Let’s look at a few “seemingly small” indulgences as examples: • 3 Starbucks Grande Lattes ($6.45 + tax) x 3 days/week = $1,137/year • Take-Out Lunch (for $12 + Tax) x 3 days/week = $2,115/year That’s over $3,000/year in “small” daily purchases! Savings Tips: • Prepare Meals in Advance: Cooking larger portions and planning for leftovers can minimize the temptation of ordering takeout. Planning meals and shopping with a list can prevent impulse purchases and reduce food waste. • Embrace the Home Café Trend: Investing in a quality coffee maker and brewing your own coffee can add joy to your day but also reduce your costs. • Set a Food Budget: Establishing a clear budget for dining out and groceries helps you track expenses and make more mindful spending decisions. Try allocating specific amounts to avoid overspending. Saving Tip #5: Leverage Senior Discounts if you are 60+ From transit to museums to groceries and drugstores, there are dozens of businesses that offer 10–20% off for seniors—but they don’t always advertise it. Many stores also have a set day of the week for seniors' discounts. Consider this: A $50 weekly purchase with 20% off saves $10—over $500/year. Savings Tips: • Shoppers Drug Mart has a 20% Seniors Day on Thursdays (for those 65+) • Rexall offers a 20% discount on Tuesdays • Many major retailers (e.g., Canadian Tire, Sobeys) offer senior discounts that vary by location—ask at checkout. Cineplex has special pricing for seniors plus seasonal promos like $5 Tuesdays if you want to take the grandkids with you. Saving Tip #6: Mind Your Utilities and Insurance Reviewing these bills once a year can result in hundreds of dollars saved. Consider switching to time-of-use electricity plans, which are offered in most areas. Check to see when cheaper rates are offered during off-peak hours, and look at using appliances such as your clothes dryer on off-peak hours. You can also lower your insurance premiums by looking at options such as raising your deductible (if you’re comfortable with the risk). Also, look at rates offered by providers for “pay as you drive” insurance, especially if you aren’t using your car a lot. Also, if you are not bundling your home and auto insurance, you may be missing out on some savings. Saving Tip #7: Buy & Sell Online Many items we need can be found for a fraction of the cost used on platforms such as Facebook Marketplace and Kijiji. And remember, buying a used item also saves on tax. Many retirees have extra furniture, tools, collectibles, or tech they don’t need. It's now easier than ever to declutter and turn these unused items into extra cash. It’s All About Small Changes and Big Rewards Recessions are hard on everyone, but especially on those living on fixed incomes. The good news is that there are plenty of smart, manageable ways to reduce expenses without giving up all the good things in life. By becoming a more conscious consumer and checking in on your spending habits once or twice a year, you can save thousands of dollars annually—money that can be redirected toward travel, gifts for grandkids, or, if nothing else, it just may calm your nerves. Another Tip: Don’t Wait — Timing Matters If this trade war continues, housing values may dip, which means the equity you can access could shrink. Getting your Plan B in place now ensures you lock in flexibility and peace of mind before things tighten up. Remember, it’s easier to get approved for a HELOC or reverse mortgage when you don’t urgently need it. It's better to set it up and keep it on standby than to wait until it’s too late. Talk It Out Stress develops in silence. Speak to family and friends about your concerns. They may not have all the answers, but they’ll provide emotional support — and possibly assist with paperwork or technical hurdles. If you have senior loved ones, check in and ask how they’re feeling about rising costs and uncertainty. These conversations go a long way and might even lead to better solutions. This trade war isn’t solely about economics. It involves peace of mind, dignity, and stability in retirement. While it may not be the type of Plan B that preoccupies the younger generation, it is equally important — perhaps even more so. So, take a breath. Make a plan. Get creative with your budget, and look at ways to save. Tap into your home equity if necessary, and don’t hesitate to ask for help. With the right Plan B, you can face the future with confidence — and perhaps even enjoy a little fun along the way. Here's a handy checklist to help you get started. Quick Wins Checklist ❏ Cancel one unused subscription ❏ Call your mobile carrier for a better deal ❏ Bring lunch instead of dining out 1x/week ❏ Use a coupon or flyer on your next grocery trip ❏ Look for a senior discount before you pay ❏ Brew your coffee at home 3 days this week ❏ Research potential discounts on your car insurance (bundling or pay-as-you-drive options) ❏ Use your clothes dryer or other appliances during off-peak hours to save on electricity Don’t Retire … Re-Wire! Sue
Why generative AI 'hallucinates' and makes up stuff
Generative artificial intelligence tools, like OpenAI’s GPT-4, are sometimes full of bunk. Yes, they excel at tasks involving human language, like translating, writing essays, and acting as a personalized writing tutor. They even ace standardized tests. And they’re rapidly improving. But they also “hallucinate,” which is the term scientists use to describe when AI tools produce information that sounds plausible but is incorrect. Worse, they do so with such confidence that their errors are sometimes difficult to spot. Christopher Kanan, an associate professor of computer science with an appointment at the Goergen Institute for Data Science and Artificial Intelligence at the University of Rochester, explains that the reasoning and planning capabilities of AI tools are still limited compared with those of humans, who excel at continual learning. “They don’t continually learn from experience,” Kanan says of AI tools. “Their knowledge is effectively frozen after training, meaning they lack awareness of recent developments or ongoing changes in the world.” Current generative AI systems also lack what’s known as metacognition. “That means they typically don’t know what they don’t know, and they rarely ask clarifying questions when faced with uncertainty or ambiguous prompts,” Kanan says. “This absence of self-awareness limits their effectiveness in real-world interactions.” Kanan is an expert in artificial intelligence, continual learning, and brain-inspired algorithms who welcomes inquiries from journalists and knowledge seekers. He recently shared his thoughts on AI with WAMC Northeast Public Radio and with the University of Rochester News Center. Reach out to Kanan by clicking on his profile.
Executive Order - Energy and Power Perspective
The tariffs imposed by the Executive Order (EO) are expected to significantly impact the energy and infrastructure sectors. New build energy projects in the United States heavily depend on importing components such as inverters, transformers, cabling, solar panels, mounting racks, and batteries from regions such as Southeast Asia, China, and the European Union. These tariffs are likely to affect all energy and infrastructure projects. We are seeing large capital projects across the United States impose caveats within their EPC contracts; allowing for steep and continual price adjustments upward. This is impacting billions of dollars of critical material and contractual obligated componentry. This also includes all materials with high volatility (steel, copper, aluminum). Not only are projects costs on the rise but so are supply chain disruptions, potentially causing delays in project timelines and/or project cancellations. The United States continues to grow in energy demand requirements, provided the vast deployment of data centers. Because of this grid reliability, modernization and new build implementation is critical in the coming decade. The tariffs are likely to have a large impact on these projects as well, given their requirement for componentry from all the regions impacted. As this situation continues to develop, the full implications and responses for the energy and infrastructure industry will become more apparent. Jeremy Erndt is a seasoned power development, engineering, and operations professional, with experience in power generation, infrastructure, and the sector with J.S. Held. He has led utility-scale power, transmission, port, and water projects from early development and conceptual design through NTP and eventual operation. He is an international development expert and supports a variety of programs for capital project development. Jeremy is a subject matter expert in project due diligence, engineering, and constructability for large-scale projects. Jeremy has been involved in various project-related and company mergers and acquisitions, thus providing a comprehensive track record and perspective of financial transactions at all stages. He has nearly two decades of experience in the development, engineering, construction, and operations of energy and infrastructure projects, spanning more than 30 GW within energy projects and over $60B of capital expenditures within infrastructure. Looking to know more or connect with Jeremy Erndt? Simply click on the expert's icon now to arrange an interview today. For any other media inquiries - contact : Kristi L. Stathis, J.S. Held +1 786 833 4864 Kristi.Stathis@JSHeld.com
Decoding the Future of AI: From Disruption to Democratisation and Beyond
The global AI landscape has become a melting pot for innovation, with diverse thinking pushing the boundaries of what is possible. Its application extends beyond just technology, reshaping traditional business models and redefining how enterprises, governments, and societies operate. Advancements in model architectures, training techniques and the proliferation of open-source tools are lowering barriers to entry, enabling organisations of all sizes to develop competitive AI solutions with significantly fewer resources. As a result, the long-standing notion that AI leadership is reserved for entities with vast computational and financial resources is being challenged. This shift is also redrawing the global AI power balance, with a decentralised approach to AI where competition and collaboration coexist across different regions. As AI development becomes more distributed, investment strategies, enterprise innovation and global technological leadership are being reshaped. However, established AI powerhouses still wield significant leverage, driving an intense competitive cycle of rapid innovation. Amid this acceleration, it is critical to distinguish true technological breakthroughs from over-hyped narratives, adopting a measured, data-driven approach that balances innovation with demonstrable business value and robust ethical AI guardrails. Implications of the Evolving AI Landscape The democratisation of AI advancements, intensifying competitive pressures, the critical need for efficiency and sustainability, evolving geopolitical dynamics and the global race for skilled talent are all fuelling the development of AI worldwide. These dynamics are paving the way for a global balance of technological leadership. Democratisation of AI Potential The ability to develop competitive AI models at lower costs is not only broadening participation but also reshaping how AI is created, deployed and controlled. Open-source AI fosters innovation by enabling startups, researchers, and enterprises to collaborate and iterate rapidly, leading to diverse applications across industries. For example, xAI has made a significant move in the tech world by open sourcing its Grok AI chatbot model, potentially accelerating the democratisation of AI and fostering innovation. However, greater accessibility can also introduce challenges, including risks of misuse, uneven governance, and concerns over intellectual property. Additionally, as companies strategically leverage open-source AI to influence market dynamics, questions arise about the evolving balance between open innovation and proprietary control. Increased Competitive Pressure The AI industry is fuelled by a relentless drive to stay ahead of the competition, a pressure felt equally by Big Tech and startups. This is accelerating the release of new AI services, as companies strive to meet growing consumer demand for intelligent solutions. The risk of market disruption is significant; those who lag, face being eclipsed by more agile players. To survive and thrive, differentiation is paramount. Companies are laser-focused on developing unique AI capabilities and applications, creating a marketplace where constant adaptation and strategic innovation are crucial for success. Resource Optimisation and Sustainability The trend toward accessible AI necessitates resource optimisation, which means developing models with significantly less computational power, energy consumption and training data. This is not just about cost; it is crucial for sustainability. Training large AI models is energy-intensive; for example, training GPT-3, a 175-billion-parameter model, is believed to have consumed 1,287 MWh of electricity, equivalent to an average American household’s use over 120 years1. This drives innovation in model compression, transfer learning, and specialised hardware, like NVIDIA’s TensorRT. Small language models (SLMs) are a key development, offering comparable performance to larger models with drastically reduced resource needs. This makes them ideal for edge devices and resource-constrained environments, furthering both accessibility and sustainability across the AI lifecycle. Multifaceted Global AI Landscape The global AI landscape is increasingly defined by regional strengths and priorities. The US, with its strength in cloud infrastructure and software ecosystem, leads in “short-chain innovation”, rapidly translating AI research into commercial products. Meanwhile, China excels in “long-chain innovation”, deeply integrating AI into its extended manufacturing and industrial processes. Europe prioritises ethical, open and collaborative AI, while the APAC counterparts showcase a diversity of approaches. Underlying these regional variations is a shared trajectory for the evolution of AI, increasingly guided by principles of responsible AI: encompassing ethics, sustainability and open innovation, although the specific implementations and stages of advancement differ across regions. The Critical Talent Factor The evolving AI landscape necessitates a skilled workforce. Demand for professionals with expertise in AI and machine learning, data analysis, and related fields is rapidly increasing. This creates a talent gap that businesses must address through upskilling and reskilling initiatives. For example, Microsoft has launched an AI Skills Initiative, including free coursework and a grant program, to help individuals and organisations globally develop generative AI skills. What does this mean for today’s enterprise? New Business Horizons AI is no longer just an efficiency tool; it is a catalyst for entirely new business models. Enterprises that rethink their value propositions through AI-driven specialisation will unlock niche opportunities and reshape industries. In financial services, for example, AI is fundamentally transforming operations, risk management, customer interactions, and product development, leading to new levels of efficiency, personalisation and innovation. Navigating AI Integration and Adoption Integrating AI is not just about deployment; it is about ensuring enterprises are structurally prepared. Legacy IT architectures, fragmented data ecosystems and rigid workflows can hinder the full potential of AI. Organisations must invest in cloud scalability, intelligent automation and agile operating models to make AI a seamless extension of their business. Equally critical is ensuring workforce readiness, which involves strategically embedding AI literacy across all organisational functions and proactively reskilling talent to collaborate effectively with intelligent systems. Embracing Responsible AI Ethical considerations, data security and privacy are no longer afterthoughts but are becoming key differentiators. Organisations that embed responsible AI principles at the core of their strategy, rather than treating them as compliance check boxes, will build stronger customer trust and long-term resilience. This requires proactive bias mitigation, explainable AI frameworks, robust data governance and continuous monitoring for potential risks. Call to Action: Embracing a Balanced Approach The AI revolution is underway. It demands a balanced and proactive response. Enterprises must invest in their talent and reskilling initiatives to bridge the AI skills gap, modernise their infrastructure to support AI integration and scalability and embed responsible AI principles at the core of their strategy, ensuring fairness, transparency and accountability. Simultaneously, researchers must continue to push the boundaries of AI’s potential while prioritising energy efficiency and minimising environmental impact; policymakers must create frameworks that foster responsible innovation and sustainable growth. This necessitates combining innovative research with practical enterprise applications and a steadfast commitment to ethical and sustainable AI principles. The rapid evolution of AI presents both an imperative and an opportunity. The next chapter of AI will be defined by those who harness its potential responsibly while balancing technological progress with real-world impact. Resources Sudhir Pai: Executive Vice President and Chief Technology & Innovation Officer, Global Financial Services, Capgemini Professor Aleks Subic: Vice-Chancellor and Chief Executive, Aston University, Birmingham, UK Alexeis Garcia Perez: Professor of Digital Business & Society, Aston University, Birmingham, UK Gareth Wilson: Executive Vice President | Global Banking Industry Lead, Capgemini 1 https://www.datacenterdynamics.com/en/news/researchers-claim-they-can-cut-ai-training-energy-demands-by-75/?itm_source=Bibblio&itm_campaign=Bibblio-related&itm_medium=Bibblio-article-related
Weird and complex life emerged on Earth as the planet's magnetic field gave way
The Earth’s magnetic field plays a key role in making the planet habitable. It shields lifeforms from harmful solar and cosmic radiation. It helps limit erosion of the atmosphere and keeps water from escaping into space. But new data show a prolonged near collapse of Earth’s magnetic field that took place some 575-565 million years ago coincided with the blossoming of macroscopic complex animal life. We now face the possibility of a new, unexpected twist in how life might relate to the magnetic field, says John A. Tarduno, the William R. Kenan Professor of Geophysics and the dean of research at the School of Arts and Sciences and the Hajim School of Engineering and Applied Sciences at the University of Rochester. “That twist could reach deep into Earth’s inner core,” says Tarduno, who recently wrote about the findings for Physics Today magazine. Tarduno is frequently cited by news outlets, like CNN, The Washington Post, and Smithsonian magazine, on matters related to the Earth’s inner core, or dynamo, and magnetic field. He can be reached at john.tarduno@rochester.edu.
Virtual reality training tool helps nurses learn patient-centered care
University of Delaware computer science students have developed a digital interface as a two-way system that can help nurse trainees build their communication skills and learn to provide patient-centered care across a variety of situations. This virtual reality training tool would enable users to rehearse their bedside manner with expectant mothers before ever encountering a pregnant patient in person. The digital platform was created by students in Assistant Professor Leila Barmaki’s Human-Computer Interaction Laboratory, including senior Rana Tuncer, a computer science major, and sophomore Gael Lucero-Palacios. Lucero-Palacios said the training helps aspiring nurses practice more difficult and sensitive conversations they might have with patients. "Our tool is targeted to midwifery patients,” Lucero-Palacios said. “Learners can practice these conversations in a safe environment. It’s multilingual, too. We currently offer English or Turkish, and we’re working on a Spanish demo.” This type of judgement-free rehearsal environment has the potential to remove language barriers to care, with the ability to change the language capabilities of an avatar. For instance, the idea is that on one interface the “practitioner” could speak in one language, but it would be heard on the other interface in the patient’s native language. The patient avatar also can be customized to resemble different health stages and populations to provide learners a varied experience. Last December, Tuncer took the project on the road, piloting the virtual reality training program for faculty members in the Department of Midwifery at Ankara University in Ankara, Turkey. With technical support provided by Lucero-Palacios back in the United States, she was able to run a demo with the Ankara team, showcasing the UD-developed system’s interactive rehearsal environment’s capabilities. Last winter, University of Delaware senior Rana Tuncer (left), a computer science major, piloted the virtual reality training program for Neslihan Yilmaz Sezer (right), associate professor in the Department of Midwifery, Ankara University in Ankara, Turkey. Meanwhile, for Tuncer, Lucero-Palacios and the other students involved in the Human-Computer Interaction Laboratory, developing the VR training tool offered the opportunity to enhance their computer science, data science and artificial intelligence skills outside the classroom. “There were lots of interesting hurdles to overcome, like figuring out a lip-sync tool to match the words to the avatar’s mouth movements and figuring out server connections and how to get the languages to switch and translate properly,” Tuncer said. Lucero-Palacios was fascinated with developing text-to-speech capabilities and the ability to use technology to impact patient care. “If a nurse is well-equipped to answer difficult questions, then that helps the patient,” said Lucero-Palacios. The project is an ongoing research effort in the Barmaki lab that has involved many students. Significant developments occurred during the summer of 2024 when undergraduate researchers Tuncer and Lucero-Palacios contributed to the project through funding support from the National Science Foundation (NSF). However, work began before and continued well beyond that summer, involving many students over time. UD senior Gavin Caulfield provided foundational support to developing the program’s virtual environment and contributed to development of the text-to-speech/speech-to-text capabilities. CIS doctoral students Fahim Abrar and Behdokht Kiafar, along with Pinar Kullu, a postdoctoral fellow in the lab, used multimodal data collection and analytics to quantify the participant experience. “Interestingly, we found that participants showed more positive emotions in response to patient vulnerabilities and concerns,” said Kiafar. The work builds on previous research Barmaki, an assistant professor of computer and information sciences and resident faculty member in the Data Science Institute, completed with colleagues at New Jersey Institute of Technology and University of Central Florida in an NSF-funded project focused on empathy training for healthcare professionals using a virtual elderly patient. In the project, Barmaki employed machine learning tools to analyze a nursing trainee’s body language, gaze, verbal and nonverbal interactions to capture micro-expressions (facial expressions), and the presence or absence of empathy. “There is a huge gap in communication when it comes to caregivers working in geriatric care and maternal fetal medicine,” said Barmaki. “Both disciplines have high turnover and challenges with lack of caregiver attention to delicate situations.” UD senior Rana Tuncer (center) met with faculty members Neslihan Yilmaz Sezer (left) and Menekse Nazli Aker (right) of Ankara University in Ankara, Turkey, to educate them about the virtual reality training tool she and her student colleagues have developed to enhance patient-centered care skills for health care professionals. When these human-human interactions go wrong, for whatever reason, it can extend beyond a single patient visit. For instance, a pregnant woman who has a negative health care experience might decide not to continue routine pregnancy care. Beyond the project’s potential to improve health care professional field readiness, Barmaki was keen to note the benefits of real-world workforce development for her students. “Perceptions still exist that computer scientists work in isolation with their computers and rarely interact, but this is not true,” Barmaki said, pointing to the multi-faceted team members involved in this project. “Teamwork is very important. We have a nice culture in our lab where people feel comfortable asking their peers or more established students for help.” Barmaki also pointed to the potential application of these types of training environments, enabled by virtual reality, artificial intelligence and natural language processing, beyond health care. With the framework in place, she said, the idea could be adapted for other types of training involving human-human interaction, say in education, cybersecurity, even in emerging technology such as artificial intelligence (AI). Keeping people at the center of any design or application of this work is critical, particularly as uses for AI continue to expand. “As data scientists, we see things as spreadsheets and numbers in our work, but it’s important to remember that the data is coming from humans,” Barmaki said. While this project leverages computer vision and AI as a teaching tool for nursing assistants, Barmaki explained this type of system can also be used to train AI and to enable more responsible technologies down the road. She gave the example of using AI to study empathic interactions between humans and to recognize empathy. “This is the most important area where I’m trying to close the loop, in terms of responsible AI or more empathy-enabled AI,” Barmaki said. “There is a whole area of research exploring ways to make AI more natural, but we can’t work in a vacuum; we must consider the human interactions to design a good AI system.” Asked whether she has concerns about the future of artificial intelligence, Barmaki was positive. “I believe AI holds great promise for the future, and, right now, its benefits outweigh the risks,” she said.