Wednesday, April 09, 2025

 

New study suggests that simultaneously burying broadband and electricity could be worth millions to people in MA towns



Modeling data shows that upfront investments in co-undergrounding wires, particularly in outage-prone areas, can pay off





University of Massachusetts Amherst





April 8, 2025 

AMHERST, Mass. — When it comes to upgrading electrical and broadband infrastructure, new research from the University of Massachusetts Amherst shows that a “dig once” approach is nearly 40% more cost effective than replacing them separately. The study also found that the greatest benefit comes from proactively undergrounding lines that are currently above ground, even if lines haven’t reached the end of their usefulness.  

 

Co-undergrounding is the practice of burying both electric and broadband internet lines together. “One main benefit from undergrounding both electric and broadband together for us was cost saving that we can have from co-deployment of those utility lines,” says Mahsa Arabi, lead study author and an ELEVATE research fellow in the UMass Amherst Energy Transition Institute (ETI). This cost savings makes it feasible for even smaller towns in Massachusetts to make undergrounding upgrades. Using computational modeling across a variety of infrastructure upgrade scenarios, the researchers found that co-undergrounding is 39% more cost-effective than separately burying electrical and broadband wires.  

 

One of the study authors, Erin Baker, faculty director of ETI and distinguished professor in the College of Engineering at UMass Amherst, explains that co-undergrounding wires is becoming more salient to decision makers who are focusing on the efficiency of infrastructure. “Instead of tearing up the road to do this and then a year later tear it up to do that, let’s think about doing it together,” she says. 

 

The researchers also asked: how aggressively should towns pivot to putting lines underground? Should they wait until lines have reached the end of their lifespan and then replace as needed, or proactively move forward? 

 

To answer this, the researchers defined three overarching considerations: the cost of converting lines from above ground to underground, the cost of outages and the hours of outages that can be avoided if lines are underground.  

 

To quantify these factors, the researchers created a nuanced computational model. “A big driver of this whole thing is the cost,” adds Jimi Oke, director of NARS Lab, assistant professor of civil and environmental engineering and principal investigator of the study. “In previous studies, people just used estimates based on average values, but we essentially try to model the dependency of the cost on things like the soil composition, the network type or the other land use variables,” he says. 

 

Using the town of Shrewsbury, Massachusetts as a case study, the team found that the most cost-effective solution is to be aggressively proactive in co-undergrounding and replacing existing infrastructure, as long as it can be confirmed that undergrounding wires reduces outages by at least 50%. 

 

Over 40 years, the cost of an aggressive co-undergrounding strategy in Shrewsbury would be $45.4 million, but the benefit from avoiding outages is $55.1 million. This considers factors like spoiled food, damaged home appliances, missed remote work hours and increased use of backup power sources. For a power outage, the costs are estimated to be $10 per person per hour, $205 per business per hour and $15,000 per industrial customer per hour. In Massachusetts, the average outage duration per customer per year, for both broadband and electricity, is estimated to be 1.38 hours. The researchers also took into consideration an additional benefit of $1.5 million in increased property values from the aesthetic improvement of eliminating overhead lines. 

 

Altogether, this created a net benefit of $11.3 million. 

 

The strategy with the second-highest net benefit was to aggressively convert just the electrical wires from above ground to underground. While this is a less expensive strategy, the savings were notably diminished, for a net benefit that was five times lower than the co-undergrounding strategy. All other strategies, including moderately paced conversions, had a negative net benefit. 

 

One of the biggest remaining question marks is determining exactly how many outages will be prevented by undergrounding. “There’s kind of an intuitive thing [that undergrounding will reduce outages], but there is kind of mixed information about exactly how much because there are outages for a lot of different reasons,” explains Baker. “It means for [undergrounding to be worthwhile] half the outages have to be caused by basically something weather induced. If more than half of your outages are caused by the plant breaking down, then you shouldn’t underground anything. But the moment it flips over and it becomes good enough to do something, it means you want to be fully aggressive.” 

 

Storms aren’t the only causes of outages, says Oke, pointing to California wildfires. California utilities will institute planned outages in order to prevent additional fires, but putting wires underground could prevent the initial fire (and therefore the outage). Consider the 2018 Camp Fire in Northern California—the most destructive wildfire in the state's history. This fire was caused when a worn-out metal hook on a transmission tower failed, allowing a live line to fall and hit a transmission tower. 

 

“We need to have a framework and a set of regulations that encourages utilities and towns to think strategically,” says Baker. She hopes that their findings can help decision makers do just this. 

 

The team hopes that future research will quantify the impacts of co-undergrounding across a variety of geographic locations and scenarios. Other relevant future directions include investigating alternative underground routing options, and other potential outage mitigation strategies.

 

Social media’s fake news problem is the target of a new tool developed at Concordia



SmoothDetector’s multimodal approach uses probabilistic models and deep learning to spot misleading information




Concordia University

Akinlolu Ojo 

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Akinlolu Ojo: “The innovation of our model lies in its probabilistic approach.”

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Credit: Concordia University




Fake news across social media is becoming ever easier to spread and more difficult to detect. That’s thanks to increasingly powerful artificial intelligence (AI) and cuts to fact-checking resources by major platforms.

This is especially concerning during elections, when local and international actors can use images, text, audio and video content to spread misinformation.

However, just as AI and algorithms can propagate fake news, they can be used to detect it. Researchers at Concordia’s Gina Cody School of Engineering and Computer Science have developed a new approach to identifying fake news. And they say it will be able to find hidden patterns that reveal whether a particular item is likely fake or not.

The model, called SmoothDetector, integrates a probabilistic algorithm with a deep neural network. It’s designed to capture the uncertainties and key patterns in the shared latent representations of texts and images in a multimodal setting. The model uses annotated text and image data from the United States–based social media platform X and the China-based Weibo to learn. The researchers are currently looking into ways to eventually incorporate functionalities to detect fake audio and video content as well, leveraging every medium to counter misinformation.

“SmoothDetector is able to uncover complex patterns from annotated data, blending deep learning’s expressive power with probabilistic algorithm’s ability to quantify uncertainty, ultimately delivering confident prediction on an item's authenticity,” says PhD candidate Akinlolu Ojo. He describes the model in the journal IEEE Access.

One of the complexities the model learns is tone. Positional encoding gives the model the ability to learn the meaning of a certain word in relation to others in a sentence, providing it with a coherence to the sentence. The same technique is used on images.

“The innovation of our model lies in its probabilistic approach,” Ojo says.

Learning possible ambiguity

SmoothDetector builds on existing though still relatively new multimodal models of fake news detection, Ojo explains. Earlier models could only examine one mode at a time — text or image or audio or video — rather than all modes of a post simultaneously. That meant that a post with fake text but an accurate photo could be labelled as a false positive or negative.

This could create additional confusion especially with regards to breaking news, when large amounts of information is generated quickly and can be contradictory.

“We wanted to capture these uncertainties to make sure we were not making a simple judgement on whether something was fake or real,” Ojo says. “This is why we are working with a probabilistic model. It can monitor or control the judgement of the deep learning model. We don’t just rely on the direct pattern in the information.”

SmoothDetector gets its name from the smoothing of the probability distribution of an outcome: instead of directly deciding that a piece of content is fake or real, it assesses the inherent uncertainty in the data and quantifies the likelihood to smooth the probability, offering a more nuanced judgement of an item authenticity.

“This makes it more versatile to capture both positive and negative information or correlation,” he adds.

Ojo says that although more work is needed to make the model truly multimodal and able to analyze audio and visual data, it is transferrable to other platforms besides X and Weibo.

Nizar Bouguila, a professor at the Concordia Institute for Information Systems Engineering, contributed to this paper, along with assistant professor Fatma Najar, PhD 22, at the John Jay College of Criminal Justice, with assistant professors Nuha Zamzami, PhD 20, and Hanen Himdi at the University of Jeddah in Saudi Arabia.

Read the cited paper: “SmoothDetector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media.”

 

Is it good to know how much your co-workers make?



Study led by UCR professor finds unintended consequences with salary transparency




University of California - Riverside





Many companies keep employee pay shrouded in secrecy while other employers make such information known to their workers. So, what are the impacts of compensation transparency? 

A study led by UC Riverside School of Business professor Boris Maciejovsky  published in the Journal of Business Ethics found that revealing employee pay unexpectedly influences workplace dynamics in ways never demonstrated before.

When employees learn how their pay stacks up against their peers, their feelings of entitlement—and the salary they believe they deserve—can rise or fall depending on how close they are to the top of performance ranking lists, the study found.

Those with top performance rankings felt entitled to significantly higher compensation than those ranked lower, even when comparing themselves to peers with similar rankings, and were more likely to demand significant raises.

Conversely, those at the bottom of the rankings felt more demoralized and were less likely to ask for a raise, and sometimes felt they didn’t deserve one at all. They thus may have little incentive to do better or collaborate with their co-workers.

The study raises ethical questions about how performance measurement systems might impact employee motivation, collaboration, and perceptions of fairness--especially for those not at the top of the rankings.

"Organizations should carefully consider the type of information shared with employees, as the appropriateness of this information may depend on the employees' relative performance," Maciejovsky said.

Maciejovsky, an associate professor of management, and his coauthors conducted four experiments exploring a phenomenon they call "standard-based entitlement." They demonstrated that an employee's position in company rankings significantly influences how much they feel entitled to compensation they believe they deserve.

Top rankings spur a sense of entitlement to demand more compensation, while lower rankings dampen such a sense of entitlement. These findings have important implications as organizations increasingly adopt pay transparency policies. While transparency aims to promote fairness and reduce inequities, it may create unexpected consequences by reinforcing status differences between high and low performers which impeded teamwork and collaboration, Maciejovsky said.

The research challenges the assumption that transparency always leads to better outcomes in fairness and morale. Instead, it highlights a complex interplay between social comparison and individual perceptions of worth. Employees, the study found, don’t simply respond to how much others make—but rather, how close they are to being the top performer. That nearness to a high-status benchmark, not just the numbers, drives feelings of deservingness.

In one experiment, participants were asked to imagine applying for a new job after learning their performance rank in a previous company. Those told they ranked third out of 500 asked for significantly more than those ranked in the middle or at the bottom—despite receiving identical information about a peer’s salary offer.

Another experiment found that feelings of entitlement acted as the psychological link between rank and requested pay. Those closer to the top felt more deserving, and this translated directly into higher salary demands.

The study’s findings are timely, as more states—including California—enact “right-to-know” laws requiring pay disclosures in job postings. Meanwhile, websites like Glassdoor and Levels.fyi make salary information easier than ever to access.

The study’s title is “Standard-Based Entitlement: How Relative Performance Disclosure Affects Pay Requests.” In addition to Maciejovsky, its authors are Gunyawee Teekathananont of the Imperial College London; Patricia Chen of the University of Texas at Austin; and Stephen M. Garcia of UC Davis.

The researchers emphasize that transparency still has value. It can uncover unfair disparities and help reduce systemic biases. But their findings suggest that employers should also invest in supporting a workplace culture that values growth and contribution across all levels—not just those near the top.

“Transparency is a powerful tool,” Maciejovsky said. “But like any tool, it can have unintended consequences if we don’t use it wisely.”

About UC Riverside:

The University of California, Riverside is a doctoral research university, a living laboratory for groundbreaking exploration of issues critical to Inland Southern California, the state and communities around the world. Reflecting California's diverse culture, UCR's enrollment is more than 26,000 students. The campus opened a medical school in 2013 and has reached the heart of the Coachella Valley by way of the UCR Palm Desert Center. The campus has an annual impact of more than $2.7 billion on the U.S. economy. To learn more, visit www.ucr.edu.

 

 

THANKS TO RAY HARRYHAUSEN

SwRI launches BEAMoCap™ markerless motion capture for 3D animation in gaming, film



MoCap system wins National Association of Broadcasters 2025 Technology Innovation Award



Southwest Research Institute

BEAMoCap™ 

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This single frame pose compares a real actor with his digital counterpart in SwRI’s Biomechanical Evaluation and Animation Motion Capture (BEAMoCap™) system. The markerless motion capture tool converts video into realistic 3D animations without requiring the conventional marker suits worn by actors.

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Credit: Southwest Research Institute





SAN ANTONIO — April 8, 2025 – Southwest Research Institute has launched a new markerless motion capture system that simplifies how film and gaming studios capture human movement for 3D animations. SwRI’s Biomechanical Evaluation and Animation Motion Capture (BEAMoCap™) tool converts video into realistic 3D animations without the conventional marker suits worn by actors.

BEAMoCap won a 2025 Technology Innovation Award from the National Association of Broadcasters (NAB). SwRI staff accepted the award at the NAB Show at the Las Vegas Convention Center, where attendees can visit Booth No. W3843 to see a live demonstration through April 9.

“This mocap system captures and translates actor movements into digital animations with unmatched speed and accuracy, ensuring a higher level of detail and realism in animated characters,” said Jonathan Esquivel, a computer scientist in SwRI’s Intelligent Systems Division who led software development. “This benefit is paramount for game developers striving to create lifelike experiences and filmmakers seeking to push the boundaries of animated storytelling.”

Conventional motion capture, or mocap, requires actors and athletes to wear body suits with dozens of infrared markers, a costly and laborious process. BEAMoCap is a camera-based solution that eliminates marker suits by using artificial intelligence and machine vision algorithms to predict kinetic movement across dozens of joints and related body parts.

BEAMoCap optimizes technology previously developed by SwRI for sports science and human performance. It fuses the precise joint prediction models used for biomechanical analysis with 3D models, meshes and skeletal rigging used for the creation of animated characters.

Movements captured using conventional mocap techniques require significant correction and cleanup. BEAMoCap gives animators more accurate movement based on kinematic modeling designed by SwRI’s biomechanical engineers. Researchers also developed a data cleaning solution to minimize artifacts that requires less modification than raw data from typical marker systems.

“The key benefit of BEAMoCap for the animation community lies in its ability to drastically reduce the production timeline,” Esquivel said. “Game developers and film animators can achieve more dynamic and responsive character animations, allowing for faster turnaround times and greater creative flexibility.”

BEAMoCap leverages SwRI’s Engine for Automatic Biomechanical Evaluation (ENABLE™), a system used by professional and collegiate sports programs to analyze biomechanics and optimize physical performance. The technology’s development is documented in published research referenced at https://enable.swri.org, which includes a white paper explaining algorithm training.

“We are excited to apply our neural network-based technology to animation, film production, digital twins, sport science and other industries where motion capture data is needed,” said Kisa D. Bordas, an SwRI computer scientist who worked on the project.

The BEAMoCap research integrates the ENABLE algorithms into a motion capture-to-animation workflow. Researchers developed a procedure to record motion and process output. Steps include importing motion data, configuring digital actors and attaching motion to digital actor joints. To remove barriers to adoption, BEAMoCap is compatible with MotionBuilder, Autodesk Filebox (FBX) and other animation formats for easy integration into existing workflows.

The team has several ongoing research projects to enhance BEAMoCap and related technology.

To learn more, watch a video demonstration or visit SwRI’s https://www.swri.org/markets/biomedical-health/biomedical-devices/biomechanics-human-performance/markerless-motion-capture-laboratory page.


Jul 23, 2021 ... Ray Harryhausen is legendary stop-motion animator, known for movies such as Mighty Joe Young, Jason and the Argonauts and Clash of the ...

May 7, 2013 ... Ray Harryhausen was a visionary of stop motion animation. He helped create the sword-fighting skeletons of Jason and the Argonauts and the ferocious dinosaurs ...

May 7, 2013 ... Producer and animator Ray Harryhausen, who invented a kind of stop motion model animation called 'dynamation,' died today.

 

New research finds fluorescence in feathers of long-eared owls



Drexel University
Long-eared Owl Wing 

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Long-eared Owl wing under ultraviolet light, illuminating the fluorescent pigments visible on the underside of the wing.

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Credit: Chris Neri





While there is an astounding variety of physical differences in wildlife that humans can easily observe, new research from Drexel University’s College of Arts and Sciences reveals that there is likely even more variation hidden from our perception. In a study recently published in The Wilson Journal of Ornithologythe researchers report their discovery of fluorescent pigments in the feathers of Long-eared Owls, that can only be seen by humans with the help of ultraviolet light.

The study, led by Emily Griffith, a PhD candidate in the Biodiversity, Earth & Environmental Science department, shows that fluorescent pigments in the feathers of Long-eared Owls can vary within a population and that variation gives clues as to why the owls have these special pigments. 

To conduct the research, the team used a fluorometer – a device that measures fluorescence or light that is emitted after absorbing radiation such as UV light – to measure variation in the amount of fluorescent pigments in the feathers of Long-eared Owls migrating through the Upper Peninsula of Michigan in the spring of 2020.

“We are only beginning to describe fluorescent pigments in birds and other vertebrates,” said Griffith. “Although describing what species they are present in is important, in order to understand what their function is we need to also describe how they vary within a species like the Long-eared Owl.”

Griffith noted that in many bird species, pigments are used by males to attract females, which is why most people think of the males of many bird species as being more “colorful” than females. But the research team suspects that the function of these pigments is not necessarily related to sexual signaling.

“Our study shows that female Long-eared Owls have a much higher concentration of these pigments in their feathers, challenging a common misconception that colorful plumage is a ‘male’ trait,” said Griffith. “Moreover, this trait doesn't follow a strict binary – the amount of fluorescent pigments in these owls exists on a spectrum where the amount of pigment is related to size, age and sex all together.”

The research team explained that fluorescent pigments have likely been used by animals for a long time, but technology has limited the study, or even acknowledgement of the pigments, until very recently. Griffith and her colleagues’ interest in the study stemmed from the fact that many owl researchers use these fluorescent feathers to age birds in the field, since the intensity of the fluorescent glow dissipates with time. Griffith added that researchers are just beginning to understand these “hidden” traits in Long-eared Owls and other birds – what the fluorescence means, where it can be found, how it got there and why it’s there.

“So little is known about fluorescent pigments in bird feathers and owls aren’t the only ones with fluorescent pigments,” said Griffith. “So, it’s a really exciting time to be interested in studying bird plumage.”

Read the full study here: https://www.tandfonline.com/doi/full/10.1080/15594491.2024.2444031.  


A Long-eared Owl.

Credit

Chris Neri