Science & Technology

Above, a humpback whale breaks the surface of the water. Photo from Eleanor Heywood/National Marine Fisheries Service permit no. 21889

By Daniel Dunaief

The waters off the South Shore of Long Island have become a magnet, attracting everything from shipping vessels, recreational boaters, fishermen and women, potential future wind farms, and humpback whales.

While the commercial component of that activity can contribute to the local economy, the whale traffic has drawn the attention of scientists and conservationists. Whales don’t abide by the nautical rules that guide ships through channels and direct traffic along the New York Bight, a region from the southern shore of New Jersey to the east end of Long Island.

Left, Julia Stepanuk with a drone controller. Photo by Kim Lato

Julia Stepanuk, a PhD student at Stony Brook University in the laboratory of Lesley Thorne, Assistant Professor in the School of Marine and Atmospheric Sciences, is focusing her research efforts on monitoring the humpback whale’s use of this habitat.

“This can help us understand how we focus our energy for monitoring and conservation,” she explained in an email. If the whales are traveling, it helps to know where to minimize human impact.

Ultimately, the work Stepanuk, who also earned her Master’s degree at Stony Brook in 2017, does provides ecological context for how whales use the waters around New York and how old the whales are that are feeding in this area.

In her dissertation, Stepanuk is “looking at the biological and ecological drivers, the motivators of where the whales are, when they’re there, specifically, from the lens of how human activity might be putting whales at risk of injury or mortality.”

Each summer, whales typically arrive in the area around May and stay through the end of October.

When she ventures out on the water, Stepanuk uses drones to gather information about a whale’s length and width, which indicates the approximate age and health of each individual. Since 2018, she has been gathering information to monitor activity in the area to track it over time.

With the research and data collected, she hopes to help understand the ecology of these whales, which will inform future policy decisions to manage risk.

Stepanuk’s humpback whale work is part of a 10-year monitoring study funded by the New York State Department of Environmental Conservation, which includes four principal investigators at the School of Marine and Atmospheric Sciences. The study looks at carbonate chemistry, physical oceanography, fish distribution, and top predator abundance, distribution and body condition, Thorne explained.

“My lab is leading the seabird and marine mammal aspect of this project,” said Thorne.

The grid over the whale demonstrates how members of Thorne’s lab measure the size of the whale from drone images. Photo by Julia Stepanuk

By documenting the ecological ranges of whales of different ages, Stepanuk may provide insight into the age groups that are most at risk. Many of the humpback whales that travel closer to shore are juveniles, measuring below about 38 feet.

Stepanuk has seen many of these whales, either directly or from the drones she flies overhead. She has also gathered information from events in which whales die after boats hit them.

Mortality events off the east coast have been increasing since 2016 as numerous whales have washed up along the coast. About half of the humpbacks in these mortality events have evidence of human interaction, either ship strike or entanglement, Stepanuk said.

“There have been many more strandings than usual of humpback whales along the east coast” in the last five years, Thorne explained.

Humpback whales likely have appeared in larger numbers in New York waterways due both to the return of menhaden in nearshore waters, which comes from changes in the management of this fish stock and from environmental management more broadly, and from an overall increase in the humpback whale population after 40 years of protection, Thorne suggested.

Ultimately, Stepanuk said she hopes to use the scientific inquiry she pursued during her PhD to help “bridge the gap between academic, policymakers, conservationists, interested parties and the public.” 

A part of Stony Brook’s STRIDE program, for science training and research to inform decisions, Stepanuk received training in science communication, how to present data in a visual and accessible way, and how to provide science-based information to policymakers.

For Thorne, this study and the analysis of the vessel strikes on humpback whales could be helpful for understanding similar dynamics with other cetaceans.

Julia Stepanuk and Matt Fuirst, a previous master’s student in Lesley Thorne’s lab, release a drone. Photo by Rachel Herman

“Understanding links between large whales and vessel traffic could provide important information for other studies, and could provide methods that would be useful for studies of other species,” said Thorne.

Stepanuk offers some basic advice for people on a boat in the New York Bight and elsewhere. She suggests driving more slowly if visibility is limited, as people would in a car in foggy weather. She also urges people to pay close attention to the water. Ripples near the surface could indicate a school of fish, which might attract whales.

“Slow down if you see dolphins, big fish schools and ripples,” she said. “There’s always a chance there could be a whale.”

If people see a whale, they shouldn’t turn off their engines: they should keep the engine in neutral and not approach the whale head on or cut them off. For most species, people can’t get closer than 300 feet. For North Atlantic right whales, which are critically endangered, the distance is 1,500 feet.

She suggests people “know the cues” and remember that whales are eagerly feeding.

Stepanuk has been close enough to these marine mammals to smell their pungent, oily fish breath and, when they exhale, to receive a residue of oil around her camera lens or sunglasses. She can “loosely get an idea of what they’re feeding on in terms of how bad their breath is.”

When she was younger, Stepanuk, who saw her first whale at the age of eight, worked on a whale watching boat for six years in the Gulf of Maine. An adult female would sometimes leave her calf near the whale watching boat while she went off to hunt for food. The calf stayed near the boat for about 45 minutes. When the mother returned, she’d slap the water and the calf would race to her side.

“Experiences like that stuck with me and keep me excited about the work we do,” Stepanuk said.

Video: Humpback whale lunge feeding off the south shore of Long Island

 

From left, atmospheric scientists Andrew Vogelmann, Edward Luke, Fan Yang, and Pavlos Kollias explored the origins of secondary ice — and snow. Photo from BNL

By Daniel Dunaief

Clouds are as confounding, challenging and riveting to researchers as they are magnificent, inviting and mood setting for artists and film makers.

A team of researchers at Brookhaven National Laboratory and Stony Brook University recently solved one of the many mysteries hovering overhead.

Some specific types of clouds, called mixed-phase clouds, produce considerably more ice particles than expected. For those clouds, it is as if someone took an empty field, put down enough seeds for a thin covering of grass and returned months later to find a fully green field.

Ed Luke, Atmospheric Scientist in the Environmental Sciences Department at Brookhaven National Laboratory, Andy Vogelmann, Atmospheric Scientist and Technical Co-manager of the BNL Cloud Processes Group, Fan Yang, a scientist at BNL, and Pavlos Kollias, a professor at Stony Brook University and Atmospheric Scientist at BNL, recently published a study of those clouds in the journal Proceedings of the National Academy of Sciences.

“There are times when the research aircraft found far more ice particles in the clouds than can be explained by the number of ice nucleating particles,” Vogelmann wrote in an email. “Our paper examines two common mechanisms by which the concentrations of ice particles can substantially increase and, for the first time, provides observational evidence quantifying that one is more common” over a polar site.

With a collection of theoretical, modeling and data collecting fire power, the team amassed over six years worth of data from millimeter-wavelength Doppler radar at the Department of Energy’s Atmospheric Radiation Measurement facility in the town of Utqiagvik, which was previously called Barrow, in the state of Alaska.

The researchers developed software to sort through the particles in the clouds, grouping them by size and shape and matching them with the data from weather balloons that went up at the same time. They studied the number of secondary ice needles produced under various conditions.

The scientists took about 100 million data points and had to trim them down to find the right conditions. “We culled the data set by many dimensions to get the ones that are right to capture the process,” Luke explained.

The dataset required supercooled conditions, in which liquid droplets at sub-freezing temperatures came in contact with a solid particle, in this case ice, that initiated the freezing process.

Indeed, shattering ice particles become the nuclei for additional ice, becoming the equivalent of the venture capitalist’s hoped for investment that produces returns that build on themselves.

“When an ice particle hits one of those drizzle drops, it triggers freezing, which first forms a solid ice shell around the drop,” Yang explained in a press release. “Then, as the freezing moves inward, the pressure starts to build because water expands as it freezes. That pressure causes the drizzle drop to shatter, generating more ice particles.”

Luke described Yang as the “theory wizard on the ice processes and nucleation” and appreciated the opportunity to solve the mechanism involved in this challenging problem.

“It’s like doing detective work,” said Luke. The pictures were general in the beginning and became more detailed as the group focused and continued to test them.

Cloud processes are the biggest cause for differences in future predictions of climate models, Vogelmann explained. After clouds release their precipitation, they can dissipate. Without clouds, the sunlight reaches the surface, where it is absorbed, particularly in darker surfaces like the ocean. This absorption causes surface heating that can affect the local environment.

Energy obtained from microscopic or submicroscopic processes, such as the absorption of sunlight at the molecular level or the energy released or removed through the phase changes of water during condensation, evaporation or freezing, drive the climate.

“While something at microscales (or less) might not sound important, they ultimately power the heat engine that drives our climate,” said Vogelmann.

To gather and analyze data, the group had to modify some processes to measure particles of the size that were relevant to their hypothesis and, ultimately, to the process.

“We had to overcome a very serious limitation of radar,” Kollias said. They “started developing a new measurement strategy.”

When the cost of collecting large amounts of data came down, this study, which involved collecting 500 times more data points than previous, conventional measures, became feasible.

Luke “came up with a very bright, interesting technique of how to quantitatively figure out, not if these particles are there or how often, but how many,” Kollias said.

Luke found a way to separate noise from signal and come up with aggregated statistics.

Kollias said everyone in the group played a role at different times. He and Luke worked on measuring the microphysical properties of clouds and snow. Yang, who joined over two and a half years ago and was most recently a post doctoral research associate, provided a talented theoretical underpinning, while Vogelmann helped refine the study and methodology and helped write up the ideas.

Kollias said the process begins with a liquid at temperatures somewhere between 0 and 10 degrees below zero Celsius. As soon as that liquid touches ice, it explodes, making it a hundred times more efficient at removing liquid from the cloud.

Kollias described the work as a “breakthrough” because it provided real measurements, which they can use to test their hypotheses.

In the next few months, Kollias said the group would make sure the climate modeling community sees this work.

Luke was hoping the collaboration would lead to an equation that provided the volume of secondary ice particles based on specific parameters, like temperature and humidity.

From the data they collected, “you can almost see the equation,” Luke said. “We wanted to publish the equation. That’s on the to-do list. If we had such an equation, a modeler could plug that right in.”

Even though they don’t yet have an equation, Luke said that explicit descriptions of the dataset, in the form of probability density functions, are of value to the modeling community.

The group would like to see how broadly this phenomenon occurs throughout the world. According to Kollias, this work is the “first step” and the team is working on expanding the technique to at least three more sites.

By Daniel Dunaief

Like so many others, Ken Kaushansky had to alter his plans when the pandemic hit last March. Kaushansky had expected to retire after over 10 years as Dean of the Renaissance School of Medicine at Stony Brook University and the Senior Vice President of Health Sciences, but the public health needs of the moment, particularly on Long Island which became an early epicenter for the disease, demanded his attention.

“Now that COVID hopefully is coming under control, it seems more logical” to retire this year, Kaushansky said in a wide-ranging interview about the pandemic, his career, and the medical school. In January, he stepped down as the dean, while he plans to retire as Senior Vice President of Health Sciences at the end of June.

Views on the Pandemic

Dr. Kenneth Kaushansky

Looking back at the immediate challenges in the first few months, Kaushansky said SBU did “extremely well” in caring for patients who were battling COVID-19 and was gratified by the school’s effort to catalog and understand the disease. “I’m very proud that we’ve been able to study this infection on all sorts of levels and make a real impact that has helped others,” he said.

Early on, as the medical team at Stony Brook met, Kaushansky urged the hospital to study COVID “to the hilt” and to “extract every little bit of data we can. We must keep all that data on all these patients.”

Indeed, Stony Brook has created a database that continues to grow of close to 10,000 people, which includes 3,000 inpatients, 4,000 who weren’t sick enough for hospital admission, and around 3,000 who thought they had the disease, but had other illnesses. “We’ve learned a ton from that, and it’s not just learning for learning’s sake,” Kaushansky said. The demand for the use of the database is so high that a steering committee is reviewing proposals. 

Stony Brook had heard from doctors in Italy that COVID patients were having problems with blood clotting. This symptom was particularly meaningful to Kaushansky, who is a hematologist.

SBU studied the symptoms and “did a trial to see if aggressive anticoagulants would produce better outcomes” than the standard of care at the time, he said. “Our [intensive care unit] patients who were on this more aggressive anticoagulation protocols had half the mortality” of other patients, so the hospital “quickly adopted all of our care” to the more effective approach.

The hospital preemptively used biomarkers to determine who should and should not get aggressive anticoagulation. A subsequent study using the database confirmed the school’s early conclusion. Stony Brook published over 150 papers on the structure of the virus, clinical observations, sociological interventions, and a host of other areas, according to Kaushansky.

Carol Gomes, Chief Executive Officer of Stony Brook University Hospital, appreciated Kaushansky’s hands on approach, which included participating in daily calls as part of the hospital incident command center.

She likened Kaushansky to an orchestra leader, coordinating the research and patient care, making sure there was “no duplication of effort.”

Kaushansky believes federal research funding agencies and policy makers will recognize the importance of gathering information about this pandemic to treat future patients who might battle against variants and to provide a playbook for other health threats. “We really do need to prepare for the next one” as this is the third and deadliest of three coronaviruses, including SARS and MERS, he said.

Vaccines

As for vaccines, Kaushansky said Stony Brook was making it as “convenient as we can” to get a vaccination for health care workers. As of about a month ago, over 80 percent of Stony Brook’s health care workers had been vaccinated.

The black and brown communities have benefited from seeing leaders and role models receiving the vaccine. “This is beginning to erode the mistrust,” said Kaushansky, which developed as a byproduct of the infamous Tuskegee experiment, in which black men with syphilis did not receive penicillin despite its availability as an effective treatment.

Kaushansky added that a concern he’s heard from a range of people is that the vaccine was developed too quickly and that the side effects could be problematic. He cited the simultaneous steps doctors, pharmaceutical companies and others took to accelerate a process that didn’t leave out any of those steps.

Kaushansky participates in a group email interaction with prominent European hematologists. Looking at the data for the Astrazeneca vaccine, these researchers have calculated that anywhere from one in 500,000 to one in a million have developed blood clots.

“Not a single person on this mass email believes that they should stop the Astrazeneca vaccines for that kind of incident,” he said.

What He Helped Build

Kaushansky has been such a supporter of expanding the facilities and expertise at Stony Brook that he said the campus developed a joke about him.

“What’s the dean’s favorite bird?” he asked. “A crane.”

Fixtures on the campus for years, those cranes — the construction vehicles, not the birds — have changed the university, adding new teaching, research and clinical space on the campus.

That includes the Medical and Research Translational building and Bed Tower, which started in 2013 and opened in 2018, and the Hospital Pavilion, which has an additional 150 beds. Those extra beds were especially important a year after the pavilion opened, providing much-needed space for patients battling against COVID.

Gomes appreciated what Kaushansky built physically, as well as the interactive collaborations among different parts of the university. “An active collaboration and communication between researchers, clinicians and academics is a very different model” from the typical separation among those groups, she said. The work “reaped great rewards on the front end with the ability to collaborate to bring new ideas forward.”

As for the type of care patients received at Stony Brook, Kaushansky recalled a discussion over six years ago about central line infections. The data came from a 12 month period, starting six months prior to the meeting and going back to 18 months earlier.

“How are we going to know why all those central line infections occurred by looking at data” from so much earlier, Kaushansky recalled asking. The hospital created real time dashboards, which is an effort that has “paid huge dividends.”

Kaushansky cited the hospitals’ top 100 health grade for three years running. These grades assess whether patients survive a procedure, have complications or need to be readmitted.

“You’re going to get the best care possible when you come to Stony Brook,” Kaushansky said, as the top 100 rating puts Stony Brook in the top 2 percent of hospitals in the country.

Apart from the buildings Kaushansky helped develop, he’s proud of the program he helped build for medical school students.

About six years ago, Stony Brook instituted a new medical school curriculum that had translational pillars. The school starts students in the clinical realm considerably earlier than the classic program that involves two years of basic studies, followed by two years of clinical work.

Stony Brook provides basic science, followed by earlier exposure to the clinic, with a return to basic science after that

“It’s much more effective if you teach the basic science after the student has witnessed the clinical manifestation,” Kaushansky said. These approaches are part of translational pillars in areas such as cancer, physiology and infectious diseases.

As for what he’ll miss after he leaves, Kaushansky particularly appreciated the opportunity to speak with students. He used to hold a monthly breakfast with four or five students, where he learned about each student, their career goals and their medical journey.

A former colleague at the University of California at San Diego, John Carethers, who is the Chair in the Department of Internal Medicine at the University of Michigan, visited Kaushansky as a speaker twice at Stony Brook.

Carethers saw “first hand the wonderful impact he had on students — knowing their names, and providing wonderful advice,” he wrote in an email.

The Next Steps

For a decade, Kaushansky said he wanted to create a course about the future of medicine.

“There are a lot of great innovations in medicine that are fascinating from a scientific and clinical perspective,” Kaushansky said.

He will work on a course for use at Stony Brook in the main campus, the medical campus and for whichever program is interested in sharing these innovative medical and scientific steps in medicine.

He also plans to continue to be the lead editor of the primary textbook in hematology, called Williams Hematology. The textbook has gone through 10 editions.

Kaushansky and his wife Lauren, who is an author and education professor at Stony Brook, aren’t likely to remain on Long Island in the longer term. The couple has a getaway home in Santa Fe and may go there.

Kaushansky’s hobbies include wood working and running. He made a sofa when he was an undergraduate at UCLA, while his second significant work was a 16-foot sailboat he made as a second-year resident. He estimates he has made 40 pieces of furniture.

Kaushansky runs four miles a day four to six times a week. In 1990, he ran the Seattle Marathon which was the Goodwill Games Marathon, finishing in a time of around three hours and twenty-five minutes.

Culturally, Kaushansky hopes the school continues to embrace his focus on generosity.

“You’ve got to be generous with your time,” he said. 

“No more can you say that you are too busy to talk. You have to be of a personality that takes pride and that gets the endorphins going from seeing the people you have brought, the people you have entrusted in leadership roles, succeed.”

Photos courtesy of Stony Brook University

F. William Studier

By Daniel Dunaief

People around the world are lining up, and in some cases traveling great distances, to get vaccinations to COVID-19 that will provide them with immune protection from the virus.

An important step in the vaccinations from Pfizer-BioNTech and Moderna, the two messenger RNA vaccinations, originated with basic research at Brookhaven National Laboratory in the 1980’s, close to 40 years before the pandemic infected millions and killed close to three million people.

At the national laboratory, scientists including F. William Studier, Alan Rosenberg, and the late John Dunn, among others, worked on another virus, called the T7 bacteriophage, which infects bacteria. T7 effectively corrupts a bacteria’s genetic machinery, turning it into a machine that makes copies of itself.

From top graphic, the T7 virus uses RNA polymerase and a promoter to start a process inside a bacteria that makes copies of itself; researchers use copies of the promoter and the polymerase to insert genes that code for a specific protein; the mRNAs are injected into our arms where human ribosomes make COVID-19 spike proteins. Those spike proteins train the attack dog cells of our immune system to recognize the virus if it attempts to invade.

Back in the 1980’s, Studier and Dunn in BNL’s Biology Department were trying to do something no one else had accomplished: they wanted to clone the T7 RNA polymerase. The use of this genetic region, along with a promoter that starts the process of transcription, enabled scientists to mimic the effect of the virus, directing a cell to make copies of genetic sequences or proteins.

The BNL researchers perfected that process amid a time when numerous labs were trying to accomplish the same molecular biological feat.

“Although there were several labs that were trying to clone the T7 RNA polymerase, we understood what made its cloning difficult,” said Alan Rosenberg, who retired as a senior scientist at BNL in 1996. The patented technology “became the general tool that molecular biologists use to produce the RNA and proteins they want to study.”

The scientists who worked on the process, as well as researchers who currently work at BNL, are pleased that this type of effort, which involves a desire for general knowledge and understanding before policy makers and funders are aware of all the implications and benefits, led to such life-saving vaccinations.

“This is an excellent example of the value of basic science in that the practical applications were quite unanticipated,” John Shanklin, Chair of BNL’s Biology Department, wrote in an email. 

“The goal of the work Studier and his team did was to understand fundamental biological principles using a virus that infects bacteria. Once discovered, those principles led to a transformation of how biochemists and biomedical researchers around the world produce and analyze proteins in addition to providing a foundational technology that allowed the rapid development of mRNA vaccines,” he wrote.

Shanklin described Studier, who recruited him to join BNL 30 years ago from Michigan, as a mentor to numerous researchers, including himself. Shanklin credits Studier for helping him develop his career and is pleased that Studier is getting credit for this seminal work.

“I am tremendously proud that the basic research done in the Biology Department has been instrumental in accelerating the production of a vaccine with the potential to save millions of lives worldwide,” Shanklin wrote. “I couldn’t be happier for [Studier] and his team being recognized for their tremendous basic science efforts.”

Steve Binkley, Acting Director of the Department of Energy’s Office of Science, acknowledged the importance of the earlier work.

“The fact that scientific knowledge and tools developed decades ago are now being used to produce today’s lifesaving mRNA vaccines for COVID-19 is a great example of how the Department of Energy’s long-term investments in fundamental research at our National Laboratories can improve American lives today and into the future,” Binkley said in a statement.

Studier explained that his interests were more modest when he started studying this particular virus, which infects the bacteria E. coli.

“T7 was not a well-studied bacteriophage when I came to Brookhaven in 1964,” Studier, who is a senior biophysicist Emeritus, said in a statement. “I was using it to study properties of DNA and decided also to study its molecular genetics and physiology. My goal, of course, was to understand as much as possible about T7 and how it works.”

In an email, Studier said he did not realize the connection between his work and the vaccinations until Venki Ramakrishnan, a Nobel-Prize winning structural biologists from the Medical Research Council Laboratory of Molecular Biology in Cambridge, UK, told him.

“I am pleased that our work with T7 is relevant for fighting this world-wide pandemic,” Studier wrote. “History shows that some of the most useful discoveries come from basic research that could not have been predicted.”

While BNL is one of 17 Department of Energy facilities, it has conducted scientific research in numerous fields.

Several translational achievements originated at BNL, Shanklin wrote, including the thalium stress test for evaluating heart function, the development of Fluoro Deoxy Glucose for Positron Emission Tomography and the first chemical synthesis for human insulin, which allowed human insulin to replace animal insulin.

As for the effort that led to the T7 discoveries, Studier worked with Parichehre Davanloo, who was a postdoctoral fellow, Rosenberg, Dunn and Barbara Moffatt, who was a graduate student.

Rosenberg appreciated the multi-national background of the researchers who came together to conduct this research, as Moffatt is Canadian and Davanloo is Iranian.

Rosenberg added that while the group had “an inkling” of the potential usefulness of the processes they were perfecting, they couldn’t anticipate its value over the next 40 years and, in particular, its current contribution.

“Nobody really understood or thought just how widely spread its use would be,” Rosenberg said. “We certainly had no idea it would be an important element in the technology” that would lead to the Pfizer and Moderna vaccinations.

From left, Dr. Sunil Kumar Sharma, Dr. Priyanka Sharma, Ritika Joshi, and Dr. Ben Hsiao. Photo by Lynn Spinnato

By Daniel Dunaief

“Water, water everywhere, nor any drop to drink,” according to Samuel Taylor Coleridge in his poem “The Rime of the Ancient Mariner.” 

That won’t be the case, particularly in areas with fresh water that needs decontamination, if Stony Brook’s Ben Hsiao and Priyanka Sharma have anything to say about it.

The duo recently won first place for creativity in the prestigious Prince Sultan Bin Abdulaziz International Prize for Water that drew research applicants, and runners up, from all over the world who are addressing water-related challenges. Hsiao, Distinguished Professor in the Department of Chemistry at Stony Brook University and Sharma, Research Assistant Professor, will receive $133,000 for winning first place for the award which is given every other year.

Hsiao and Sharma are continuing to develop a plant biomass-based filtration system that is designed to make drinking water, a scarce necessity in developing nations around the world, more accessible to people who sometimes have to walk hours each day for their allotment.

Hsiao said he was “really honored [just] to be nominated” by the Department Chair Peter Tonge. “There are so many people in the whole world working on water purification.” 

Winning the award was “truly a surprise,” with Hsiao adding that he is “humbled” by the honor.

Sharma said it was an “amazing feeling to receive an international prize.” The work, which has received two other awards including from the New York Academy of Science, has “truly gained its importance,” she wrote in an email.

Sharma said her parents and her husband Sunil Kumar Sharma’s parents, who live in her native India, have been “spreading the news” in India and are excited for the recognition and for the potential benefit to society from the research.

Hsiao, who started working on filtration systems in 2009 after Richard Leakey invited him to visit the Turkana Basin Institute in Kenya, has made several discoveries in connection with a process he hopes becomes widely available to people in communities that don’t have electricity.

He and Sharma have developed adsorbents, coagulants and membrane materials from biomass-sourced nanocellulose fibers.

The standard commercial water purification system involves using artificial polymers, in which electricity pumps water through the filter that can remove bacteria, viruses, heavy metals and other potential contaminants.

Hsiao and Sharma, however, have turned to the plant world for a more readily available and cost effective solution to the challenge of filtering water. Plants of all kinds, from shrubs to bushes to feedstock, have overlapping cellulose fibers. By deploying these overlapping needles in filters, the Stony Brook scientists can remove the kind of impurities that cause sickness and disease, while producing cleaner water. 

The needles, which are carboxy-cellulose nanofibers, act as a purifying agent that has negative surface charge which causes the removal of oppositely charged impurities. By using these fibers for water purification, Sharma said the team has improved the efficiency and cost related to impurity removal.

Hsiao and Sharma have not tested this material for filters yet. A few years ago, Hsiao used a similar material for filtration. When Sharma joined Hsiao’s lab, she helped develop a cost effective and simpler method, which is how she started working on the nitro-oxidation process. The substrate from nitro-oxidation acts as a purifying agent like charcoal.

The substrates they created can benefit the developed as well as the developing world. In the future, if they receive sufficient funds, they would like to address the ammonium impurities initially on Long Island. The area regularly experiences algal blooms as a result of a build up of nitrogen, often from fertilizers.

The negatively charged substrate attracts the positively charged ammonium impurities. They have tested this material in the lab for the removal of ammonium from contaminated water. Not only does that cleanse the water, but it also collects the ammonium trapped on the carboxycellulose fibers that can be recycled as fertilizer.

Hsiao is working with two countries on trying to make this approach available: Kenya and Botswana. The Kenya connection came through the work he has been doing with Richard Leakey at Stony Brook’s Turkana Basin Institute, while Botswana is a “small but stable country [in which he can] work together to have some field applications.”

Hsiao said Sharma, whom he convinced to join his lab in 2015, has a complementary skill set that enables their shared vision to move closer to a reality.

Sharma’s “cellulose chemistry is a lot better than mine,” Hsiao said. “I have these crazy visions that this is going to happen. She allows me to indulge my vision. Plus, we have a team of dedicated students and post docs working on this.”

Hsiao encouraged Sharma to join his research effort when he offered his idea for the potential benefits of the work.

Hsiao said he “ wanted to do something for societal benefit,” Sharma said. “That one sentence excited me.” Additionally, she said his lab was well known for using the synchrotron to characterize cellulose nanofibers and for developing cellulose based filtration membranes.

Coming from India to the United States “wasn’t easy,” as no one in her extended family had been to the states, but she felt a strong desire to achieve her academic and professional mission.

Hsiao described Sharma as a “promising, talented scientist,” and said he hopes they can land large research grants so they can continue to develop and advance this approach.

Back in 2016, Hsiao set an ambitious goal of creating a process that could have application throughout the world within five years, which would be around now.

“I was naive” about the challenges and the timing, Hsiao said. “I still have another five to 10 years to go, but we’re getting closer.”

Broadly, the effort to provide drinkable water that is accessible to people throughout the world is a professional challenge Hsiao embraces. 

The effort “consumes me day and night,” he said. “I’m dedicating the rest of my life to finding solutions. I’m doing this because I feel like it’s really needed and can have a true impact to help people.”

Qingzhi Zhu

Qingzhi Zhu, PhD, Associate Professor in the School of Marine and Atmospheric Sciences (SoMAS) at Stony Brook University, has received a SUNY Technology Accelerator Fund (TAF) award for his research to develop a low-cost, high-accuracy nitrogen detecting system for wastewater systems that has the potential to greatly improve testing processes and quality of water.

The TAF award provides seed funding for SUNY campuses to support potentially groundbreaking research on technologies. TAF helps faculty inventors and scientists turn their research into market-ready technologies by developing feasibility studies, prototyping and testing, which demonstrate that an idea or innovation has commercial potential.

A new technology to accurately and cost effectively detect nitrogen from wastewater, such as at a sewage plant as the one depicted, is being developed by Stony Brook researchers. Photo from Pixabay

Nitrogen pollution from septic tanks has been identified as the single largest contributor to deteriorating groundwater quality on Long Island. Advanced onsite wastewater treatment systems are needed to remove high levels of nitrogen. Regulators need nitrogen sensor for long term assurance of system performance, however, none of the existing nitrogen sensors are suitable for the advanced septic systems due to their frequent maintenance, high-cost and low accuracy.

With support by Stony Brook’s  Center for Clean Water Technology, Zhu and colleagues have created a low-maintenance sensor that has the potential to help manufacturers, homeowners, and governments know that the systems are performing as intended to protect water sources.

His method involves using very small qualities of inexpensive and innocuous chemical reagents to selectively separate and detect nitrate/nitrite and ammonium from wastewater in a compact sensor unit. The sensor is designed for long-term deployments in wastewater systems with low maintenance and remote data transmission. It can be used to measure nitrate/nitrite and ammonium/ammonia in wastewater, water treatment plants, advanced septic systems and in surface and groundwater with minor modifications. The sensor won the phase II of EPA’s Advanced Septic System Nitrogen Sensor Challenge, and it is now undergoing a 6-month ISO ETV 14034 field verification test sponsored by the US EPA. For more information about the technology and it’s stage of development, see this webpage.

“Our nitrogen sensor is the only sensor that is engineered to meet residential and municipal wastewater market requirements with high accuracy and low cost,” says Zhu. “The sensor can operate remotely and unattended in wastewater for several months and has great potential to be commercialized. The TAF fund will enable us to improve our current sensor prototype to a commercial readiness level, advancing our nitrogen sensor from laboratory to marketplace. We are extremely grateful for this support.”

Zhu receives a $50,000 grant with the TAF award. SUNY announced that he and three other SUNY professors are TAF awardees. For more information about the latest TAF awards, see this press release.

Michael Frohman. Photo from SBU

By Daniel Dunaief

Bringing together researchers and clinicians from six countries, including scientists scattered throughout the United States, a team of scientists co-led by Stony Brook University’s Michael Frohman linked mutations in a gene to congenital heart disease.

Frohman, Chair of the Department of Pharmacological Sciences in the Renaissance School of Medicine at SBU, has worked with the gene Phospholipidase D1 (or PLD1), for over 25 years. Researchers including Najim Lahrouchi and Connie Bezzina at the University of Amsterdam Heart Center linked this gene to congenital heart disease.

“The current study represents a seminal finding in that we provide a robust link between recessive genetic variants of PLD1 and a rather specific severe congenital heart defect comprising right-side valvular abnormalities,” Bezzina wrote in an email. 

Michael Frohman at Glymur Falls in Iceland.

The international group collected information from 30 patients in 21 unrelated families and recently published their research in the Journal of Clinical Investigation.

A number of other genes are also involved in congenital heart disease, which is the most common type of birth defect. People with congenital heart disease have a range of symptoms, from those who can be treated with medication and/or surgery for pre-term infants to those who can’t survive.

The discovery of this genetic link and congenital heart disease suggests that PLD1 “needs to be screened in cases with this specific presentation as it has implications for reproductive counseling in affected families,” Bezzina explained.

Bezzina wrote that she had identified the first family with this genetic defect about five years ago.

“We had a strong suspicion that we had found the causal gene, but we needed confirmation and for that, we needed to identify additional families,” she said. “That took some time.

Bezzina described the collaboration with Frohman as “critical,” as she and Lahrouchi had been struggling to set up the PLD1 enzymatic assay in their lab, without any success. Lahrouchi identified Frohman as a leading expert in the study of PLD1 and the team reached out to him.

His work was instrumental in determining the effect of the mutations on the enzymatic activity of PLD1, Bezzina explained.

The timing in connecting with Frohman proved fortuitous, as Frohman had been collaborating with Michael Airola, Assistant Professor in the Department of Biochemistry & Cell Biology at Stony Brook University, on the structure of the PLD1 catalytic domain.

“Together, they immediately saw that the mutations found in the patients were located primarily in regions of the protein that are important for catalysis and this provided detailed insight into why the mutations caused the PLD1 enzyme to become non-functional,” Bezzina wrote.

These findings have implications for reproductive counseling, the scientists suggested.

A couple with an affected child who has a recessive variation of PLD1 could alert parents to the potential risk of having another child with a similar defect.

One of the variants the scientific team identified occurs in about two percent of Ashkenazi Jews, which means that 1 in 2,500 couples will have two carriers and a quarter of their conceptions will be homozygous recessive, which virtually guarantees congenital heart disease. This, however, is about three times less frequent than Tay-Sachs. “This has, in our view, clinical implications for assessing the risk of congenital heart defects among individuals of this ancestry,” said Bezzina.

The mutation probably arose among Ashkenazi Jews around 600 to 800 years ago. There are about 20 known disease mutations like Tay-Sachs in this population that are found only rarely in other groups.

Lahrouchi and Bezzina specialize in the genetics of congenital heart disease, which occurs worldwide in 7 out of every 1,000 live births.

With 56 coauthors, Frohman said this publication had the largest number of collaborators he’s ever had in a career that includes about 200 papers. While this is unusual for him, it’s not uncommon among papers in clinical research.

The lead researchers believed a comprehensive report with a uniform presentation of clinical data and biochemical analysis would provide a better resource for the field, so they brought together research from The Netherlands, the Czech Republic, Israel, France, Italy and the United States.

Previous research that involved Frohman revealed other patterns connected to the PLD1 gene. 

About a dozen years ago, Frohman helped discover that mice lacking the PLD1 gene, or that were inhibited by a drug that blocked its function, had platelets that are less easily activated, which meant they were less able to form large blood clots.

These mice had better outcomes with strokes, heart attacks and pulmonary embolisms.

The small molecule inhibitor was protective for these conditions before strokes, but only provided a small amount of protection afterwards. Technical reasons made it difficult to use this inhibitor in clinical trials.

The primary work in Frohman’s lab explores the link between PLD1 and cancer. He has shown that loss of PLD1 decreases breast cancer tumor growth and metastasis.

As for what’s next, Frohman said he has a scientific focus and a translational direction. On the scientific front, he would like to know why the gene is required for heart development. He is launching into a set of experiments in which he can detect what might go wrong in animal models early in the development of the heart. 

Clinically, he hopes to explore how one bad copy of the PLD1 gene combines with other genes that might contribute to cause enough difficulties to challenge the survival of a developing heart.

A resident of Old Field, Frohman lives with his wife Stella Tsirka, who is in the pharmacology department and is Vice Dean for Faculty Affairs in the Renaissance School of Medicine. The couple has two children, Dafni, who is a first-year medical student at Stony Brook and Evan, who is a lawyer clerking with a judge in Philadelphia.

Outside of work, Frohman, who earned MD and PhD degrees, enjoys hikes in parks, kayaking and biking.

Having a medical background helped him learn a “little bit about everything,” which gave him the opportunity to prepare for anything new, which included the medical implications of mutations in the PLD1 gene.

Bezzina hopes to continue to work with Frohman, on questions including how the mutation type affects disease severity. “An interplay with other predisposing genetic factors is very interesting to explore as that could also help us in dissecting the disease mechanism further,” she wrote.

Peter Koo Photo from CSHL

By Daniel Dunaief

The goal sounds like a dystopian version of a future in which computers make critical decisions that may or may not help humanity.

Peter Koo, Assistant Professor and Cancer Center Member at Cold Spring Harbor Laboratory, would like to learn how to design neural networks so they are more interpretable, which will help build trust in the networks.

The neural networks he’s describing are artificial intelligence programs designed to link a molecular function to DNA sequences, which can then inform how mutations to the DNA sequences alter the molecular function. This can help “propose a potential mechanism that plays a causal role” for a mutation in a given disease, he explained in an email.

Researchers have created numerous programs that learn a range of tasks. Indeed, scientists can and have developed neural networks in computer vision that can perform a range of tasks, including object recognition that might differentiate between a wolf and a dog.

Koo when he received a COVID vaccination.

With the pictures, people can double check the accuracy of these programs by comparing the program’s results to their own observations about different objects they see.

While the artificial intelligence might get most or even all of the head-to-head comparisons between dogs and wolves correct, the program might arrive at the right answer for the wrong reason. The pictures of wolves, for example, might have all been taken during the winter, with snow in the background The photos of dogs, on the other hand, might have cues that include green grass.

The neural network program can arrive at the right answer for the wrong reason if it is focused on snow and grass rather than on the features of the animal in a picture.

Extending this example to the world of disease, researchers would like computer programs to process information at a pace far quicker than the human brain as it looks for mutations or genetic variability that suggests a predisposition for a disease.

The problem is that the programs are learning in the same way as their programmers, developing an understanding of patterns based on so-called black box thinking. Even when people have designed the programs, they don’t necessarily know how the machine learned to emphasize one alteration over another, which might mean that the machine is focused on the snow instead of the wolf.

Koo, however, would like to understand the artificial intelligence processes that lead to these conclusions.

In research presented in the journal Nature Machine Intelligence, Koo provides a way to access one level of information learned by the network, particularly DNA patterns called motifs, which are sites associated with proteins. It also makes the current tools that look inside black boxes more reliable.

“My research shows that just because the model’s predictions are good doesn’t mean that you should trust the network,” Koo said. “When you start adding mutations, it can give you wildly different results, even though its predictions were good on some benchmark test set.”

Indeed, a performance benchmark is usually how scientists evaluate networks. Some of the data is held out so the network has never seen these during training. This allows researchers to evaluate how well the network can generalize to data it’s never seen before.

When Koo tests how well the predictions do with mutations, they can “vary significantly,” he said. They are “given arbitrary DNA positions important scores, but those aren’t [necessarily] important. They are just really noisy.”

Through something Koo calls an “exponential activation trick,” he reduces the network’s false positive predictions, cutting back the noise dramatically.

“What it’s showing you is that you can’t only use performance metrics like how accurate you are on examples that you’ve never seen before as a way to evaluate the model’s ability to predict the importance of mutations,” he explained.

Like using the snow to choose between a wolf and a dog, some models are using shortcuts to make predictions.

“While these shortcuts can help them make predictions that [seem more] accurate, like with the data you trained it on, it may not necessarily have learned the true essence of what the underlying biology is,” Koo said.

By learning the essence of the underlying biology, the predictions become more reliable, which means that the neural networks will be making predictions for the right reason.

The exponential activation is a noise suppressor, allowing the artificial intelligence program to focus on the biological signal.

The data Koo trains the program on come from ENCODE, which is the ENCyclopedia Of DNA Elements.

“In my lab, we want to use these deep neural networks on cancer,” Koo said. “This is one of the major goals of my lab’s research at the early stages: to develop methods to interpret these things to trust their predictions so we can apply them in a cancer setting.”

At this point, the work he’s doing is more theoretical than practical.

“We’re still looking at developing further tools to help us interpret these networks down the road so there are additional ways we can perform quality control checks,” he said.

Koo feels well-supported by others who want to understand what these networks are learning and why they are making a prediction.

From here, Koo would like to move to the next stage of looking into specific human diseases, such as breast cancer and autism spectrum disorder, using techniques his lab has developed.

He hopes to link disease-associated variance with a molecular function, which can help understand the disease and provide potential therapeutic targets.

While he’s not a doctor and doesn’t conduct clinical experiments, Koo hopes his impact will involve enabling more trustworthy and useful artificial intelligence programs.

Artificial intelligence is “becoming bigger and it’s undoubtedly impactful already,” he said. “Moving forward, we want to have transparent artificial intelligence we can trust. That’s what my research is working towards.”

He hopes the methods he develops in making the models for artificial intelligence more interpretable and trustworthy will help doctors learn more about diseases.

Koo has increased the size and scope of his lab amid the pandemic. He current has eight people in his lab who are postdoctoral students, graduate students, undergraduates and a master’s candidate.

Some people in his lab have never met in person, Koo said. “I am definitely looking forward to a normal life.”

Joel Hurowitz

By Daniel Dunaief

February 18th marked an end and a beginning.

On that day, the Mars Perseverance rover descended through the atmosphere with considerable fanfare back on Earth. Using some of the 23 cameras on Perseverance, engineers took pictures and videos of the landing.

The National Aeronautics and Space Administration not only shared the video of the rover descending into the Jezero crater which held water and, perhaps, life three billion years ago, but also offered a view of the elated engineers who had spent years planning this mission.

 

In a calm, but excited voice, a female narrator counted down the height and speed of the rover, which weighs about a ton on Earth and closer to 800 pounds in the lower gravity of Mars. The NASA video showed staff jumping out of their seats, cheering for the achievement.

Launched from Cape Canaveral, the rover took 233 days to reach Mars, which is about the gestation period for a chimpanzee.

Some of the engineers “who got us there have reached the end of their marathon,” said Joel Hurowitz, Associate Professor in the Department of Geosciences at Stony Brook University and Deputy Principal Investigator for one of the seven scientific instruments aboard the Perseverance. 

With ongoing support from other engineers who helped design and build the rover, the scientists “get the keys to the vehicle and we get to start using these things.”

Indeed, Hurowitz and Scott McLennan, Distinguished Professor in the Department of Geosciences at Stony Brook University are part of teams of scientists who will gather information to answer basic questions about Mars, from whether life existed, to searching for evidence of ancient habitable environments, to seeking evidence about the changing environment.

Both Stony Brook scientists were riveted by the recordings of the landing.

Scott McLennan

Hurowitz marveled at the cloud of dust that formed as the rover approached the surface.“You could see these chunks of rock flying back up at the sky crane cameras,” he said. “I was amazed at the amount of debris that was kicked up in the landing process.”

Hurowitz had seen pieces of rock on top of the Curiosity rover after it landed, but he felt he understood more about the process from the new video. “To see it happening, I realized how violent that final stage of the landing is,” he said.

McLennan said this has been his sixth Mars mission and he “never tires of it. It’s always exciting, especially when there is a landing involved.”

Like Hurowitz, who earned his PhD in McLennan’s lab at Stony Brook, McLennan was impressed by the dust cloud. “I understood that a lot of dust and surface debris was displaced, but it was quite remarkable to see the rover disappear into the dust for a short while,” he wrote in an email.

While previous missions and orbiting satellites have provided plenty of information about Mars, the Perseverance has the potential to beam pictures and detailed analysis of the elements inside rocks.

Hurowitz, who helped build the Planetary Instrument for X-ray Lithochemistry, or PIXL, said the team, led by Abigail Allwood at the Jet Propulsion Laboratory, has conducted its first successful instrument check, which involves turning everything on and making sure it works. Around April, the PIXL team will start collecting its first scientific data.

In addition to searching for evidence of previous life on Mars, Hurowitz will test a model for climate variation.

The SuperCam on the Perseverance Rover. Photo by Gregory M. Waigand

From measurements of the chemistry and mineralogy of sedimentary rock, the scientists can deduce whether the rocks formed in an environment that was oxygen-rich or oxygen-poor. Additionally, they can make inferences about temperature conditions based on their chemical compositions.

Looking at variations in each layer, they can see whether Mars cycled back and forth between cold and warm climates.

Warmer periods could have lasted for hundreds, thousands or even tens of thousands of years, depending on how much greenhouse gas was injected at any time, Hurowitz explained. “Whether this is long enough to enable biological development is probably one of the great questions in the field of pre-biotic chemistry,” he said.

The Martian atmosphere could have had dramatic swings between warm and oxygen-poor conditions and cold and oxygen-rich conditions. “This has not really been predicted before and provides a hypothesis we can test with the rover payload for how climate might have varied on Mars,” he added.

Tempering the expectation of confirming the existence of life, Hurowitz said he would be “shocked if we woke one morning and a picture in the rover image downlink [included] a fossil,” he said. “It’s going to take time for us to build up our understanding of the geology of the site well enough.” The process could take months or even years.

Using information from orbiters, scientists have seen minerals in the Jezero crater that are only found when water and rock interact.

With the 11-minute time lag between when a signal from Earth reaches Perseverance, Hurowitz said scientific teams send daily codes up to the rover and its instrument. Hurowitz will be involved in uploading the signals for PIXL.

A Martian day is 40 minutes longer than the Earth day, which is why the Matt Damon movie “The Martian” used the word “sol,” which represents the time between sunrises on Mars.

McLennan, who works on three teams, said PIXL and the SuperCam provide complementary skill sets. With its laser, the SuperCam can measure the chemical composition of rocks at under seven meters away. Up close, PIXL can measure sub millimeter spot sizes for chemistry.

SuperCam will then find areas of interest, enabling PIXL to focus on a postage-stamp sized area.

As a member of the Returned Sample Science Working Group, McLennan, who is a specialist in studying the chemical composition of sedimentary rocks, helps choose which rocks to collect and set aside to bring back to Earth. The rocks could return on a mission some time in the 2030s.

The scientists will collect up to 43 samples, including some that are completely empty. The empty tubes will monitor the history of contamination that the other rock samples experienced. 

For McLennan, the involvement of his former student is especially rewarding. Hurowitz “didn’t just help build the instrument, he’s one of the leaders,” McLennan said. “That’s really fabulous.”

For Hurowitz, any data that supports or refutes the idea about the potential presence of life on Mars is encouraging.

He is “cautiously optimistic” about finding evidence of past life on Mars. “We’ve done everything we can as a scientific community to maximize the chance that we’ve landed some place that might preserve signs of life.”

Sloths, rodents and primates – some of the largest and smallest mammals on Caribbean islands – are among those most vulnerable to extinction. Image from David Rini, Johns Hopkins University

A new study by a team of international scientists jointly led by Stony Brook University Professor Liliana M. Dávalos, PhD, and Professor Samuel Turvey of the Zoological Society of London, reveals that the largest and smallest mammals in the Caribbean have been the most vulnerable to extinction. The findings, published in the Proceedings of the Royal Society B, help predict future extinction risk and inform the conservation strategies needed to prevent future biodiversity loss.

Most past studies find that larger mammals go extinct more often, so this study’s findings are unusual. Titled “Where the Wild Things Were,” the paper looked at past extinction patterns across the Caribbean mammal fauna in order to help scientists understand the factors that predispose species to extinction. With mammal extinction, what they found is that size does indeed matter in life.

The islands of the Caribbean have long been a source of fascination for scientists and conservationists. They were once home to a diverse array of land mammals including sloths, primates, unusual insectivores, and giant rodents, but the arrival of different waves of human colonists from around 6000 years ago onwards instigated the largest series of human-caused mammal extinctions since the end of the last Ice Age.

Only 11 native Caribbean rodents and two insectivores still survive today – including the two solenodons, large shrew-like mammals that have the unique ability to inject venom into their prey using modified grooved teeth. Both solenodon species are the only representatives of an ancient mammalian lineage that diverged from the ancestors of all other living mammals during the time of the dinosaurs, approximately 76 million years ago.

Dávalos, a Professor in the Department of Ecology and Evolution in the College of Arts and Sciences, designed and completed the statistical analyses that led to the findings. By carrying out the study at the level of mammal populations instead of species, the team’s methods were able to account for the effect of varying environmental conditions across different islands on species’ chances of survival.

Conducting a huge-scale analysis that included records of extinction patterns for 219 land mammal populations across 118 Caribbean islands, the study went beyond previous research into Caribbean mammal extinctions, which has largely focused on reconstructing last-occurrence dates for extinct species and matching them with specific historical events. This study instead sought to identify wider ecological patterns – such as the relationship between body mass and extinction risk – that influence a mammal’s chance of survival in response to human activities.

They found that medium-sized Caribbean mammals – like the solenodons – have been less sensitive to extinction compared to both their smaller and larger counterparts.

According to Dávalos and co-authors, this overall discovery is likely to reflect the fact that larger species were more vulnerable to past human hunting, whereas smaller species were more vulnerable to predation or competition by introduced species such as mongooses and rats.

“To answer questions such as ‘what traits predispose species to survival?’ Or ‘what island features are associated with extinction?,’ we studied each population on an island as a natural experiment,” says Dávalos. “With enough of them, patterns that have often been discussed but couldn’t quantify start to emerge. Without the large database of many natural experiments in the Caribbean and powerful computing approaches, there is no way to answer these questions.

“The analyses also showed that Caribbean mammals of all sizes were less likely to survive on the earliest-colonized islands by humans and more likely to survive on tiny, low-elevation offshore islands, meaning that their future survival could be at risk from climate change and rising sea levels unless measures are put in place to protect these vital natural refuges.”

“Preventing the extinction of highly endangered species requires an awareness of not only the immediate risks to their survival, but also the history of human-caused biodiversity loss – and the unique insights that the past can provide about species’ vulnerability or resilience under differing conditions,” adds Professor Samuel Turvey of ZSL’s Institute of Zoology.

“The Caribbean islands are home to unique mammalian biodiversity, which has tragically been almost completely wiped out by past human activities. Our study clearly highlights the importance of learning from the past to make the future better – we must use information from the historical, archaeological and recent fossil records to inform current-day conservation, or else we risk losing these remarkable species forever.”

Research for this study was supported in part by the National Science Foundation (NSF). For Professor Dávalos, grant numbers DEB 1442142 and 1838273, DGE 1633299. Additional funding by the NSF (OAC 1531492) enabled analyses by the SeaWulf computing system at the Institute for Advanced Computational Science at Stony Brook University.