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Behavioral Science

Early Detection of Wood Coating Deterioration: A Data-Driven Approach to Sustainable Building Maintenance

From the Japanese cypress to the ponderosa pine, wood has been used in construction for millennia. Though materials like steel and concrete have largely taken over large building construction, wood is making a comeback, increasingly being used in public and multi-story buildings for its environmental benefits. Of course, wood has often been passed over in favor of other materials because it is easily damaged by sunlight and moisture when used outdoors. Wood coatings have been designed to protect wood surfaces for this reason, but coating damage often starts before it becomes visible. Once the deterioration can be seen with the naked eye, it is already too late. To solve this problem, a team of researchers is working to create a simple but effective method of diagnosing this nearly invisible deterioration before the damage becomes irreparable.

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The use of wood in construction has been a staple for millennia, from the majestic Japanese cypress to the sturdy ponderosa pine. Despite its environmental benefits, wood’s susceptibility to damage from sunlight and moisture often pushed it aside in favor of steel and concrete. However, with the growing interest in sustainable building practices, wood is making a comeback.

To overcome the challenges associated with wooden structures, researchers at Kyoto University have developed a groundbreaking method for detecting early signs of coating deterioration. This simple yet effective approach combines mid-infrared spectroscopy with machine learning to predict the extent of degradation before it becomes visible.

The team’s innovative technique uses partial least square regression and genetic algorithms to identify subtle chemical changes in wood coatings. These slight alterations, often too small to detect visually, can be accurately captured by infrared spectroscopy and predicted by the model. This enables researchers to diagnose early coating deterioration with high accuracy, reducing the need for costly visual inspections and preventing further decay.

By integrating chemistry and data-driven modeling techniques, this research demonstrates how traditional craftsmanship and modern data science can work together to support smarter maintenance of sustainable buildings. As Teramoto notes, “We hope this technology will help bridge the gap between traditional craftsmanship and modern data science.”

The researchers are now conducting tests on real wooden buildings, with plans to improve their model for application in new paint and coating product development. Beyond wood, this method may also be applied to materials like concrete or metal, unlocking new possibilities for diagnosing early material failure and improving sustainability across various industries.

Behavioral Science

Satellite tracking of 12,000 marine animals reveals ocean giants are in trouble

A massive global collaboration has tracked over 12,000 marine animals from whales to turtles to create one of the most detailed movement maps of ocean giants ever assembled. The project, MegaMove, highlights how animal migrations intersect with fishing, shipping, and pollution, revealing alarming gaps in current ocean protections. Even if 30% of the oceans were protected, most critical habitats would still be exposed to threats.

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The world’s oceans are home to an incredible array of marine life, from massive blue whales to tiny plankton. However, many of these ocean giants are facing significant threats, including overfishing, pollution, and climate change. A recent study has shed new light on the plight of these marine animals, using satellite tracking data to pinpoint where they need the most protection.

Led by Ana Sequeira of Australian National University and supported by the United Nations, the research project, called MegaMove, brought together nearly 400 scientists from over 50 countries. The team used biologging data collected from satellite tags to inform a new blueprint for ocean conservation.

“This is one of the largest marine tracking data sets ever assembled,” said Francesco Ferretti, a marine ecologist at Virginia Tech who contributed to the study. “It’s not just about drawing lines on a map. We need to understand animal behavior and overlap that with human activity to find the best solutions.”

The research revealed some startling insights into the migratory patterns of these ocean giants. For example, Virginia’s coastline is part of a major migratory corridor for marine species, including sharks, which play a critical role in maintaining healthy marine ecosystems.

“Sharks, for example, play a critical role in maintaining healthy marine ecosystems, which in turn support fisheries and recreation,” Ferretti said. “What happens to apex predators can ripple across the food web and impact local economies.”

Past collapses of shellfish fisheries in North Carolina and impacts on seagrasses meadows have shown how predator loss can shift entire ecosystems.

The MegaMove project aimed to inform the United Nations’ 30×30 target: a global goal to protect 30 percent of the world’s oceans by 2030. However, the findings show that even if all 30 percent of protected areas were perfectly placed, it wouldn’t be enough.

“Sixty percent of the tracked animals’ critical habitats would be still outside these zones,” Ferretti said. “In addition to protected areas, we need targeted mitigation, changing fishing practices, rerouting shipping lanes, and reducing pollution.”

The project highlights the importance of collaboration and global science in addressing these challenges. Virginia Tech’s participation reflects a broader push to contribute to international, data-driven science.

“This project shows where the field is heading,” Ferretti said. “We’re seeing a revolution in big data approaches in marine science. Students need to be trained not only in fieldwork but in data science to meet future challenges.”

The MegaMove project can also help inspire the next generation of researchers and showcase how Virginia Tech connects local talent to worldwide impact.

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Animals

Baboons’ Social Bonds Drive Their Travel Patterns, Not Survival Strategies

Researchers have discovered that baboons walk in lines, not for safety or strategy, but simply to stay close to their friends.

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Researchers at Swansea University have made an intriguing discovery about the behavior of wild chacma baboons on South Africa’s Cape Peninsula. By using high-resolution GPS tracking, they found that these intelligent primates walk in lines not for safety or strategy, but simply to stay close to their friends.

For a long time, scientists believed that baboons structured their travel patterns, known as “progressions,” to reduce risk and optimize access to food and water. However, the new study published in Behavioral Ecology reveals that this behavior is actually driven by social bonds rather than survival strategies.

The researchers analyzed 78 travel progressions over 36 days and found that the order in which individual baboons traveled was not random. They tested four potential explanations for this phenomenon, including strategic positioning to avoid danger or gain access to resources. However, their findings show that the consistent order of baboon movement patterns is solely driven by social relationships.

According to Dr. Andrew King, Associate Professor at Swansea University, “The baboons’ consistent order isn’t about avoiding danger like we see in prey animals or for better access to food or water. Instead, it’s driven by who they’re socially bonded with. They simply move with their friends, and this produces a consistent order.”
This discovery introduces the concept of a “social spandrel.” In biology, a spandrel refers to a trait that arises not because it was directly selected for but as a side effect of something else. The researchers found that the consistent travel patterns among baboons emerge naturally from their social affiliations with each other and not as an evolved strategy for safety or success.

The study highlights the importance of strong social bonds in baboon society, which are linked to longer lives and greater reproductive success. However, this research also shows that these bonds can lead to unintended consequences, such as consistent travel patterns, which serve no specific purpose but rather as a by-product of those relationships. The findings have implications for our understanding of collective animal behavior and the potential for social spandrels in other species.

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Behavioral Science

Unlocking the Secret to Staying Cool: A Breakthrough in Thermosensory Regulation

Researchers have identified a monoacylglycerol acyltransferase-coding gene named bishu-1. It is involved in the thermal responsiveness of cool temperature-sensing neurons by regulating ionotropic receptor expression, thereby maintaining the cool temperature avoidance behaviors in Drosophila larvae.

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The human body has an incredible ability to sense changes in environmental temperatures, but have you ever wondered how insects like fruit flies can detect even slight temperature variations? A team of researchers from the Exploratory Research Center on Life and Living Systems (ExCELLS) has made a groundbreaking discovery that sheds light on this fascinating phenomenon. Their study reveals a lipid enzyme called bishu-1 plays a crucial role in maintaining cool temperature sensation and avoidance behavior in insects.

The research focused on thermal receptors, specifically ionotropic receptors (IRs), IR25a and IR21a, which are responsible for detecting cool temperatures in the dorsal organ cool cells (DOCCs) of larval fruit flies. The team discovered that bishu-1 regulates the expression level of these receptors, ensuring their proper functioning and enabling the insects to accurately sense cool temperatures.

“Bishu-1” is a Chinese word meaning “summering,” which aptly describes the escaping behavior of larvae from heat. This lipid enzyme’s role in thermosensation was unexpected, as it is primarily known for its involvement in energy storage processes in the liver or intestine.

The researchers found that bishu-1 regulates the expression of transcription factor broad, which binds to the regulatory region of the IR25a gene. This mechanism is essential for maintaining cool temperature sensation and avoidance behavior in insects. Interestingly, overexpressing broad was sufficient to rescue the bishu-1 mutant’s defects in cooling responses and cool temperature avoidance behaviors.

This study opens up new avenues for research into lipid-mediated mechanisms affecting multiple sensory processes. It also has potential implications for the discovery of treatments that can maintain thermosensation and other sensory systems in humans, promoting a better understanding of the intricate relationships between our bodies and the environment.

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