Children as young as five can navigate a 'Tiny Town'

A playground scene in Tiny Town. (Dilks lab)

Many behavioral studies suggest that using landmarks to navigate through large-scale spaces — known as map-based navigation — is not established until around age 12. 

A neuroscience study at Emory University counters that assumption. Through experiments combining brain scans and a virtual environment the researchers dubbed Tiny Town, they showed that five-year-olds have the brain system that supports map-based navigation. 

The journal Proceedings of the National Academy of Sciences published the finding, the first neural evidence that this cognitive ability is in place in such young children. 

“While large-scale navigation abilities certainly continue to develop throughout childhood, our findings show that the underlying neural system is established remarkably early,” says Yaelan Jung, first author of the study and a postdoctoral fellow in Emory’s Department of Psychology. 

“Rather than taking a decade or more, map-based navigation is underway in half that time,” adds Daniel Dilks, associate professor of psychology and senior author of the study. “Five-year-olds have the brain system enabling them to find their way around a tiny, virtual town. They not only know that the ice cream store in the mountain region is different than the ice cream store in the lake region, they know how to navigate the streets to get to each of them.”

Read the full story here.

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Developing a new approach to control a dangerous, invasive mosquito in Ethiopia

Edilawit Mesfine, left, and Edel Seifu, both from Jigjiga University, collect data and larvae from a construction site. (Photo by Kim Awbrey)

Emory University received $2.8 million in funding from the Gates Foundation to support its work to develop and test a high-tech, low-cost method to control an invasive mosquito that poses a growing threat of urban malaria in Africa. The three-year project is focused on three cities in Ethiopia: Jigjiga, Semera and Logiya. 

The project’s novel approach to combating malaria combines on-the-ground knowledge of human and mosquito behaviors with detailed environmental imagery from drones and NASA satellites. Machine learning techniques will be applied to the data to develop a model — powered by artificial intelligence — for targeted public health interventions. 

The aim is to efficiently control populations of the invasive Anopheles stephensi mosquito by first, identifying water sources that are most likely to harbor the larvae during the dry season. And secondly, by sharing maps of these precise targets with local public health authorities — via a mobile phone app — to guide their larvae-eradication efforts in the most efficient and effective manner. 

The strategy is based on research on the ecology of stephensi in Jigjiga led by Gonzalo Vazquez-Prokopec, Emory professor of environmental sciences and co-principal investigator for the grant. “It sounds counterintuitive to focus mosquito-control efforts on the dry season,” Vazquez-Prokopec says. “Our research, however, shows that the dry season offers a perfect window of opportunity to cost-effectively control these mosquitoes.” 

Vazquez-Prokopec is an expert on the disease ecology of pathogens spread by vectors, such as mosquitoes. His research considers environmental factors as well as the interactions of mosquitoes, the pathogens they carry, and people. 

Read the full story here.

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New AI tool set to speed quest for advanced superconductors

Xu Chen, an Emory PhD student of theoretical chemistry, is first author of the paper. He says the team was inspired by the image-recognition training used for self-driving cars to create a powerful machine-learning framework.

Using artificial intelligence shortens the time to identify complex quantum phases in materials from months to minutes, finds a new study published in Newton. The breakthrough could significantly speed up research into quantum materials, particularly low-dimensional superconductors. 

The study was led by theorists at Emory University and experimentalists at Yale University. Senior authors include Fang Liu and Yao Wang, assistant professors in Emory’s Department of Chemistry, and Yu He, assistant professor in Yale’s Department of Applied Physics. 

The team applied machine-learning techniques to detect clear spectral signals that indicate phase transitions in quantum materials — systems where electrons are strongly entangled. These materials are notoriously difficult to model with traditional physics because of their unpredictable fluctuations. 

“Our method gives a fast and accurate snapshot of a very complex phase transition, at virtually no cost,” says Xu Chen, the study’s first author and an Emory PhD student in chemistry. “We hope this can dramatically speed up discoveries in the field of superconductivity.” 

One of the challenges in applying machine learning to quantum materials is the lack of sufficient high-quality experimental data needed to train models. To overcome this, the researchers used high-throughput simulations to generate large amounts of data. They then combined these simulation results with just a small amount of experimental data to create a powerful and efficient machine-learning framework.

Read more about the discovery.

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A new clue to how multicellular life may have evolved

The idea for the work came from watching the filter feeding of stentors — trumpet-shaped, single-celled giants that float near the surface of ponds. (Getty Images)

Life emerged on Earth some 3.8 billion years ago. The “primordial soup theory” proposes that chemicals floating in pools of water, in the presence of sunlight and electrical discharge, spontaneously formed organic molecules. These building blocks of life underwent chemical reactions, likely driven by RNA, eventually leading to the formation of single cells. 

But what sparked single cells to assemble into more complex, multicellular life forms? 

Nature Physics published a new insight about a possible driver of this key step in evolution — the fluid dynamics of cooperative feeding. 

“So much work on the origins of multicellular life focuses on chemistry,” says Shashank Shekhar, lead author of the study and assistant professor of physics at Emory University. “We wanted to investigate the role of physical forces in the process.” 

Shekhar got the idea while watching the filter feeding of stentors — trumpet-shaped, single-celled giants that float near the surface of ponds. Through microscope video, he captured the fluid dynamics of a stentor in a liquid-filled lab dish as the organism sucked in particles suspended in the liquid. He also recorded the fluid dynamics of pairs and groups of stentors clumped together and feeding. 

The videos revealed a world similar to how Van Gogh saw the night sky, swirling with stars. 

“The project started with beautiful images of the fluid flows,” Shekhar says. “Only later did we realize the evolutionary significance of this behavior.”

Read the full story by clicking here.

Chatbot opens computational chemistry to nonexperts

The researchers hope their pioneering work to democratize computational chemistry will inspire similar initiatives across the natural sciences. (Liu Group)

Advanced computational software is streamlining quantum chemistry research by automating many of the processes of running molecular simulations. The complicated design of these software packages, however, often limits their use to theoretical chemists trained in specialized computing techniques. 

A new web platform developed at Emory University overcomes this limitation with a user-friendly chatbot. The chatbot guides nonexperts through a multistep process for setting up molecular simulations and visualizing molecules in solution. It enables any chemist — including undergraduate chemistry majors — to configure and execute complex quantum mechanical simulations through chatting. 

The free, publicly available platform — known as AutoSolvateWeb — operates primarily on cloud infrastructure, further expanding access to sophisticated computational research tools. 

The journal Chemical Science published a proof-of-concept for AutoSolvateWeb, which marks a significant step forward in the integration of AI into education and scientific research.

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'Doctors by Nature': In a new book, a biologist explores how animals heal themselves

Emory biologist Jaap de Roode with his two dogs, Tukkie and Cooper.

In 2010, Emory University biologist Jaap de Roode published the discovery that monarch butterflies use medicine to cure their offspring of disease. His lab revealed how, if infected with a parasite, the female butterflies prefer to lay their eggs on a species of milkweed containing higher levels of a toxic chemical. The caterpillars eat the milkweed, ingest the toxin, and reduce the parasite load in their bodies. 

With that finding, de Roode joined the vanguard of scientists uncovering how animals treat themselves for diseases. 

“We showed how even an insect with a teeny-tiny brain can medicate,” de Roode says. “From there it was a natural progression to the understanding that, in principle, any animal can do it.” 

In his new book, “Doctors by Nature: How Ants, Apes and Other Animals Heal Themselves,” de Roode explores the growing field of animal self-medication. He interviews scientists around the globe and describes research into how animals from ants to apes, birds to bears — even family dogs and cats — use various forms of medicine.

Read more about de Roode's book.

Atlanta Science Festival set to entertain, inspire and engage all ages

The festival culminates Saturday, March 22, in "Exploration Expo," a day-long celebration in Piedmont Park. Demonstrations by Emory chemist Douglas Mulford are among the perennial favorites.

By Carol Clark

Atlanta Science Festival returns March 8-22, with more than 100 events throughout the metro area, inviting the public to join fun, interactive and educational experiences. The acclaimed city-wide celebration, one of the largest of its kind in the country, showcases the myriad science, technology engineering and mathematics (STEM) innovations happening in Atlanta, including at Emory. 

“Not only does the Atlanta Science Festival spotlight the wonder of science in its various forms, we strive to do so by curating a two-week experience that’s as exciting and intriguing as possible,” says Meisa Salaita, executive co-director of Science ATL, the non-profit organization that engineers the festival. “We want to open minds, educate, inspire, entertain, and spark the interest of the scientists of tomorrow.” 

Now in its 12th year, the Atlanta Science Festival was co-founded by Emory, Georgia Tech and the Metro Atlanta Chamber. 

Members of the Emory community will help participants experience the wonders of science through spectacles like the chemistry of fireballs, a musical entertainment combined with a biology talk on the surprising abilities of animals to use medicine, a walking tour of campus science landmarks, a behind-the-scenes look at the latest advances in healthcare technology and much more. 

Creative events to engage participants with technology include “Data Poetics,” which will combine slam poetry and computer science on Thursday, March 13 at 7 p.m. at the Supermarket event space in Atlanta. The introductory workshop in how to use software to visualize data and add power to poetic expression will be co-hosted by Emily Wall, Emory assistant professor of computer science, Keke Wu, Emory postdoctoral researcher, and W. J. Lofton, an Atlanta poet. 

The idea for the event grew out of an Emory class that Wall and Lofton co-taught as part of the Emory Arts and Social Justice Fellows program, which pairs faculty with local artists to explore how creative thinking and artistic expression can inspire change. Their class was so successful that the duo wanted to introduce the concept to the wider public. 

Participants will write a data-driven poem about a social issue affecting Atlanta and then amplify their message through information visualizations. “Many people think of computer science as intimidating and too ‘mathy’ to be interesting,” Wall says. 

That attitude often changes when people learn simple ways to directly apply computer science to better communicate a human problem, she adds. “We want to give artists another tool, a way to make their art even more compelling.”

Click here for highlights of more festival events featuring members of the Emory community.

Celebrating Valentine's Day and science

Emory biophysicists Jennifer Rieser and Gordon Berman enjoy a hike in Aspen following a summer conference.

Jennifer Rieser, assistant professor of physics, and Gordon Berman, associate professor of biology, connected at Cornell University in 2006. They are fascinated by the biophysics of animal behaviors, tackling esoteric questions such as variations in how organisms move. 

“We both noticed each other,” Berman recalls of their first meeting. Berman was already working on his PhD, studying the biodynamics of insect flight, when Rieser attended a recruitment weekend for graduate students. 

“I reached out to him afterwards to learn more about what it’s like at Cornell,” Rieser says. 

Berman didn’t discourage her. She was enrolled that fall, and, by Christmas, Berman informed his mother he had a girlfriend. 

They married in 2010. Their eventual move to Atlanta was a homecoming for Rieser, who grew up in nearby Lawrenceville, while Berman is from Michigan. 

During the COVID-19 lockdown they shared a Midtown loft, teaching online on opposite sides of the space, sometimes simultaneously. “And we didn’t get tired of each other,” Berman says. “We survived that test.” 

They now live just a few blocks from campus with daughter, Naomi, who is two-and-a-half, and dogs Escher and Kona. 

Berman focuses more on theoretical and computational methods, while Rieser takes an experimental approach to the locomotion of everything from snakes to ants. They often run their research by one another to get feedback from their complementary strengths. 

They manage to combine work and play, traveling together following conferences or summer teaching gigs that took them to Brazil, Italy and Germany. And they enjoy cooking and eating nice meals. 

“I tend to bake things,” Rieser says. 

“She’s more a creature of precision,” Berman explains. “Her signature dish is a chocolate babka, a very decadent bread.” 

"He’s more of an improvisational chef,” Rieser says. 

“Give me a cabinet of ingredients and a couple of adjectives,” Berman says, “and I can make you a bespoke, likely unrepeatable cocktail.”

Read more stories of Emory scientific power couples.

Plant extract inspires new chemistry and new early lead against triple-negative breast cancer

The extract that inspired the research comes from Curcuma phaeocaulis, a flowering plant in the ginger family. (Wagner Campelo / Alamy Stock Photo)

Chemists at Emory University invented a reaction to streamline the total synthesis of a compound, phaeocaulisin A, extracted from a plant used for centuries in traditional Chinese medicine. 

In laboratory dish experiments conducted with biologists at Winship Cancer Institute of Emory University, the researchers showed the compound’s efficacy against HER2-positive breast cancer cells and triple-negative breast cancer cells. An analogue of the compound the chemists constructed boosted this efficacy. 

“We not only efficiently replicated a complex natural product,” says Mingji Dai, Emory professor of chemistry. “We also improved upon it by turning it into a more potent compound.” 

The Journal of the American Chemical Society published the work, led by Dai and Yong Wan, professor of pharmacology and chemical biology at Emory School of Medicine and director of basic research for the Glenn Family Breast Center at Winship Cancer Institute.

Read the full story here.

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Bittersweet secrets of the fruit fly brain

Fruit flies have served as an important laboratory organism for more than 100 years. (Sanjay Archaya/Wikipedia)

The sense of taste carries evolutionary benefits key to survival. A sweet taste, for instance, signals energy-dense nutrients important to animals foraging for food — including humans. A bitter taste may warn of a toxic substance. 

“We use our sense of taste to decide what to eat and how much to eat,” says Anita Devineni, a neuroscientist and assistant professor in Emory University’s Department of Biology. 

Despite the importance of taste, little is known about how taste cues spark the firing of cells across a brain and evoke a variety of behavioral responses. Devineni is exploring this mystery by mapping the neural circuitry for the taste system of the fruit fly, Drosophila melanogaster. 

Tinier than a poppy seed, the fruit fly brain contains around 140,000 neurons. 

“That’s 1,000 fewer neurons than a mouse brain and a million times fewer than a human brain,” Devineni explains, making the fly brain a simple starting point for studying general mechanistic principles of cognition. 

Compared to the incredible complexity of its cognitive powers, the human brain’s basic biology appears relatively straightforward. 

“The brain is just an organ like any other organ in your body,” Devineni says. “It’s made up of neurons that are cells like any other cells — lipid membranes containing proteins, DNA and other molecules. What makes a brain cell different from a skin cell or a lung cell is that a brain cell fires. Firing means that sodium ions flow in and out of the cell. Everything that you do, from thinking to talking to walking, is a result of patterns of neurons firing. How could this be?”

Read the full story here.

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