Thursday, January 04, 2024

 

Unlocking sustainable water treatment: the potential of piezoelectric-activated persulfate


Peer-Reviewed Publication

CHINESE SOCIETY FOR ENVIRONMENTAL SCIENCES

a, Traditional activation method of PS-AOPs technology. b, Mechanism of piezoelectric/PS-AOPs. c, Annual number of publications concerning piezoelectric/PS-AOPs. 

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A, TRADITIONAL ACTIVATION METHOD OF PS-AOPS TECHNOLOGY. B, MECHANISM OF PIEZOELECTRIC/PS-AOPS. C, ANNUAL NUMBER OF PUBLICATIONS CONCERNING PIEZOELECTRIC/PS-AOPS.

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CREDIT: ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY




As cities grow bigger and faster, water pollution is becoming a serious problem. We need good ways to clean the water. Traditional cleaning methods, Persulfate (PS)- Advanced Oxidation Processes (AOPs), are good at treating the bad stuff in the water, but they require a lot of energy and chemicals, like special light and metals ions. This is costly and environmentally harmful. It's urgent to find better and more eco-friendly ways to clean it.

In a recent study published in Volume 18 of the journal Environmental Science and Ecotechnology, scientists from Jinan University discuss a new, eco-friendly way to clean water. They've discovered a method called "piezoelectric activation of PS." This technique uses special materials that create piezoelectricity when they are squeezed or pressed, thereby cleaning the water. What's really cool is that this squeezing can come from natural things like wind, ocean waves, or river currents. So, it doesn't need extra energy, making it a very green and efficient way to make water safe.

The research on piezoelectric/PS-AOPs is about finding new ways to clean water using a special process. This process uses materials that can generate the piezoelectricity when they are pressed or squeezed. This piezoelectricity is then used to activate a chemical called persulfate, which helps break down harmful substances in the water. Scientists are working with different materials like BaTiO₃, ZnO, and MoS₂ to make this process better. They face challenges like not getting enough energy from the materials and slow movement of electrons, but they're improving the materials to solve these problems. They're also exploring using natural forces like wind and water flow to power this process, which is a sustainable and eco-friendly approach. This new technology could do more than just clean water; it could also turn the bad substances in the water into useful things. This makes it a really promising way to clean water in environmental remediation. As research goes on, this method could become a major way to treat water and control pollution, using renewable energy and being kind to the environment. Dr. Mingshan Zhu, a leading researcher in the field, emphasized the significance of this development: "Piezoelectric activation of persulfate represents a paradigm shift in water treatment technology. It not only addresses the efficiency and environmental concerns associated with traditional methods but also opens up new pathways for using renewable energy sources."

This exciting method is transforming the way we purify water. It's environmentally friendly, energy-efficient, and highly effective at combating water pollution. Representing a significant leap towards a cleaner and healthier planet, this technique doesn't just enhance water cleanliness; it plays a substantial role in environmental protection. It's a comprehensive approach to making our world a better place.

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References

DOI

10.1016/j.ese.2023.100329

Original Source URL

https://doi.org/10.1016/j.ese.2023.100329

Funding information

The National Science Foundation of China (22322604 and 22006052); The Guangdong Basic and Applied Basic Research Foundation (2020B1515020038); The Pearl River Talent Recruitment Program of Guangdong Province (2019QN01L148).

About Environmental Science and Ecotechnology

Environmental Science and Ecotechnology (ISSN 2666-4984) is an international, peer-reviewed, and open-access journal published by Elsevier. The journal publishes significant views and research across the full spectrum of ecology and environmental sciences, such as climate change, sustainability, biodiversity conservation, environment & health, green catalysis/processing for pollution control, and AI-driven environmental engineering. The latest impact factor of ESE is 12.6, according to the Journal Citation ReportTM 2022.

 

Case Western Reserve researchers land $1.125 million National Science Foundation grant to advance safer, faster and less expensive medical-imaging technology

Grant and Award Announcement

CASE WESTERN RESERVE UNIVERSITY

Shuo Li 

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SHUO LI

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CREDIT: CASE WESTERN RESERVE UNIVERSITY

CLEVELAND—Diagnosing cancer today involves using chemical “contrast agents” to improve the accuracy of medical imaging processes such as X-rays as well as computed tomography (CT) and magnetic resonance imaging (MRI) scans. 

But those agents can be expensive, take more time to use and pose potential health concerns.

With a new four-year, $1.125 million grant from the National Science Foundation (NSF), researchers at Case Western Reserve University hope to develop an artificial intelligence (AI) alternative that generates virtual contrast-enhanced images without chemical agents.

Their goal: a safer, quicker and cheaper process using non-contrast images only.

“With this grant, our multidisciplinary team aims to improve the medical-imaging process for clinical staff and patients,” said project leader Shuo Li, an associate professor at the university’s Case School of Engineering (CSE). “Virtual contrast-enhanced imaging could save time and money while continuing to provide the best care to patients.”

Vipin Chaudhary, the Kevin J. Kranzusch Professor and chair of computer and data sciences at CSE; Leonardo Kayat Bittencourt, an associate professor at the School of Medicine and vice chair of innovation in radiology at UH Cleveland Medical Center; and Sree Harsha Tirumani, an associate professor at the School of Medicine and vice chair for clinical research in radiology at UH Cleveland; are co-leading the project. Li, Kayat and Tirumani are all members of the Case Center for Imaging Research.

The challenge

While the use of chemical contrast materials is the gold standard for diagnosing many diseases, increasing numbers of patients, associated costs and potential side effects pose significant challenges. While uncommon, risks to patients include allergic reactions and other short-term adverse reactions.

A new non-chemical imaging technique could reduce such risks while also saving time and money. Such a technique could also help alleviate burdens of potential supply chain issues, such as the global shortage of iodinated contrast media in 2022.

The project

The project leverages the engineering and medical strengths of the research team to develop this new, virtual way of providing valuable diagnostic information to the clinician and patient, but without chemical contrast agents.

The researchers will investigate a new category of image features to inform development and validation of new models for use with MRI scans. Leveraging key technical strengths of AI, the researchers are developing a technique called an AI contrast agent.

The grant is funded through the NSF Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science, an interagency program to support advances in computer and information science, engineering, mathematics, statistics, behavioral and cognitive research for biomedical and public health.

                                                            

Case Western Reserve University is one of the country's leading private research institutions. Located in Cleveland, we offer a unique combination of forward-thinking educational opportunities in an inspiring cultural setting. Our leading-edge faculty engage in teaching and research in a collaborative, hands-on environment. Our nationally recognized programs include arts and sciences, dental medicine, engineering, law, management, medicine, nursing and social work. About 6,200 undergraduate and 6,100 graduate students comprise our student body. Visit case.edu to see how Case Western Reserve thinks beyond the possible.

 

 

Boosting solar cell performance with a transparent spectral converter


The protective material transforms harmful ultraviolet photons into visible light, increasing the conversion efficiency of photovoltaic devices


Peer-Reviewed Publication

SPIE--INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS

Applying a transparent Pr3+/Eu3+-doped glass-ceramic layer on top of a photovoltaic cell simultaneously protects it from damaging UV light and converts that UV radiation to visible light, thereby enhancing the light-to-energy conversion efficiency. 

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APPLYING A TRANSPARENT PR3+/EU3+-DOPED GLASS-CERAMIC LAYER ON TOP OF A PHOTOVOLTAIC CELL SIMULTANEOUSLY PROTECTS IT FROM DAMAGING UV LIGHT AND CONVERTS THAT UV RADIATION TO VISIBLE LIGHT, THEREBY ENHANCING THE LIGHT-TO-ENERGY CONVERSION EFFICIENCY. 

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CREDIT: JOURNAL OF PHOTONICS FOR ENERGY.




Over the past decade, photovoltaic cells (PCs) have garnered much attention worldwide as promising sources of renewable energy. However, PCs still have not achieved light-to-electricity conversion efficiencies high enough to gain widespread adoption, and scientists are on the lookout for new materials and designs with better performance.

Two of the most actively studied types of PCs are perovskite PCs and amorphous-silicon carbide (a-SiC:H) PCs, each with their own set of limitations. Perovskite PCs suffer from two major setbacks: first, even though solar radiation covers wavelengths that go from near-infrared all the way up to ultraviolet (UV) light, perovskite PCs use only a small portion of this spectrum, leading to low energy conversion efficiency. Second, they are vulnerable to photo-degradation from exposure to high-intensity UV light. In contrast, a-SiC:H PCs cannot effectively harvest UV light owing to a mismatch between the spectral profile of sunlight and the spectral response of a-SiC:H materials.

But what if these problems could be solved simply by applying a special transparent layer on top of the PC? In a recent study published in the Journal of Photonics for Energy, a research team including Dr. Pei Song from Shanghai University of Engineering Science, China, developed a novel solar spectral converter using a GdPO4 glass-ceramic (GC) material doped with praseodymium (Pr) and europium (Eu) ions. This technology could lead to notable boosts in performance and applicability in solar cells.

The main purpose of GdPO4-GC:Eu3+/Pr3+ is to absorb UV photons from solar radiation and re-emit them as visible light. This is possible thanks to the efficient energy transfer that happens between the ions in the material. When a UV photon hits a Pr3+ ion, it generates an excited electronic state. This accumulated energy has a high chance of being transferred to a Gd3+ ion, which releases some of it before transferring the rest to an Eu3+ ion. As a result, excited electronic states in the Eu3+ ion undergo a down transition to lower energy states, emitting visible light.

Several experiments confirmed that the Gd3+ ions act as bridges between Pr3+ and Eu3+ ions in these energy transitions. Thus, a thin transparent GdPO4-GC:Eu3+/Pr3+ layer applied onto a PC not only shields it from UV photons but also feeds it additional light. Additionally, this protective effect helps prevent photo-degradation in perovskite PCs. Meanwhile, in both perovskite and a-SiC:H PCs, the spectral conversion layer helps the overall system use energy from solar radiation more efficiently by making it “sensitive” to UV photons, which would otherwise be wasted.

Notably, the proposed GdPO4-GC:Eu3+/Pr3+ material is straightforward to synthesize via a conventional melting quenching process. Moreover, since the material is also remarkably stable, it appears promising as a protective layer for space-borne PCs, such as those used in space stations. “Nowadays, expanding space stations require more power support and need high-performance PCs. By covering the top side of a PC with the proposed spectral conversion material and using appropriate encapsulation and sealing technology, we can ensure very low humidity levels and efficient UV recycling,” explains Song. “In addition, GC materials have a hard texture, so they can protect PCs from being hit by tiny floating debris in space.”

More studies will be needed to further improve the efficiency of PCs using doped GC materials as spectral converters. The researchers note that future work could focus on improving cost-effectiveness by adjusting doping concentrations and optimizing the thickness of the protective layer. “With potential applications in both terrestrial and space PCs, the development of spectral downshifting Pr3+/Eu3+ co-doped glass-ceramics might open up new avenues to achieve better performance in photovoltaic devices,” concludes Song.

Let us hope that solar energy will grow to become not only an eco-friendly alternative to fossil fuels but also the energy source of the future!

For details, see the original article by Song, Zhang, and Zhu, “Ultraviolet-wavelength driven solar spectral converter for photovoltaic cell application,” J. Photon. Energy 14(1) 015501 (2023), doi 10.1117/1.JPE.14.015501.

 

Midbrain awakens gift of gab in chatty midshipman fish


Peer-Reviewed Publication

CORNELL UNIVERSITY




ITHACA, N.Y. – For talkative midshipman fish – sometimes called the “California singing fish” – the midbrain plays a robust role in initiating and patterning of sounds used in vocal communication.

The midbrain in these fish, it turns out, may serve as a useful model for how mammals and other vertebrates, including humans, control vocal expressions, according to Cornell University behavioral research published in Nature Communications.

Midshipman fish phrasing takes the form of grunts, growls and hums whenever the males seek mates or fend off foes, said senior author Andrew Bass, professor of neurobiology and behavior. To the human ear, the hum might sound like a single note on a French horn or a foghorn.

Science has known that mammals and other vertebrates emit sound and vocalize to communicate behaviors, but the midbrain responsible for initiating acoustic features – like patterned hums in these fish or the formation of cogent sentences in humans – had largely gone unexplored.

Researchers found that midbrain periaqueductal gray neurons in the fish are activated in distinct patterns by the males during courtship calls, foraging and nest guarding duty.

The group confirmed that the periaqueductal gray neurons evoke output to the muscles that manage sound and the vocal features of courtship, as well as show patterning other kinds of calls.

Communication signals patterned by the midbrain “have frequency and amplitude components, and the fish string together sounds in different ways,” Bass said. “Maybe those sounds mean aggression or serve as a mating function – like you’re trying to attract a mate to a nest, which male midshipman do with their hum.”

The human brain is in the shape of a helmet and the midbrain sits at the top of brain’s “stem”. Fish brains are shaped more like a tube – making them a more accessible model to study experimentally, Bass said. “Our findings now show that fish and mammals share functionally comparable periaqueductal gray nodes that can influence the acoustic structure of social context-specific vocal signals,” he said.

Bass noted that for humans, this research provides clues to what happens if the human midbrain gets damaged. He suggested that this research may help us understand how a malfunctioning human midbrain may render a person uncommunicative or mute.

“It’s only been in the past few years, where the midbrain has gotten more attention from neuroscientists studying social communication,” said Bass. “It is a major node connected to your cortex, basal ganglia, amygdala and hypothalamus. In this way it acts as a gateway for these sources of executive functions to reach other brain regions more directly activating muscles that underlie behavioral actions.”

Said Bass: “The midbrain is an amazing part of the brain because it points to how essential it is – if you are a vertebrate – to have the ability to produce sound communication signals. Period.”

The National Science Foundation funded this research.

For additional information, see this Cornell Chronicle story.

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Knowing how clinicians make real-world decisions about drug-drug interactions can improve patient safety


Peer-Reviewed Publication

REGENSTRIEF INSTITUTE





INDIANAPOLIS — Drug-drug interactions causing adverse effects are common and can cause significant patient harm and even death. A new study is one of the first to examine how clinicians become aware of and process information about potential interactions and subsequently make their real-world decisions about prescribing. Based on these findings, the research team makes specific recommendations to aid clinician decision-making to improve patient safety.

“Drug-drug interactions are very common, more common than a lot of people outside the healthcare system expect. In the U.S., these interactions lead to hundreds of thousands of hospitalizations in any given year at an enormous cost,” said study senior author Michael Weiner, M.D., MPH., of U.S. Department of Veterans Affairs, Regenstrief Institute and Indiana University School of Medicine. “Most of these drug interactions are preventable.

“This study was needed because we previously didn’t have a great understanding of how clinicians actually make decisions in assessing these interactions. No one had really taken apart the thinking process step-by-step to understand it from the beginning to the end. There's a patient, there's a drug and another drug. There is now a potential interaction. There's been a decision about how to resolve it following an assessment and then a resolution process. Understanding all this is very important if we are hoping to design improvements to the medical system that enhance patient safety.”

The research team focused on positive cases, where clinicians identified a drug-drug interaction concern and took action to help protect the patient. They analyzed all aspects of clinicians’ decision-making process, especially specific cues they used to assess patients’ clinical risk and identify safer treatment options.

Clinicians become aware of drug-drug interactions in different ways. In addition to their own knowledge and consultations with colleagues, reference books or professional websites, the electronic health record (EHR) is a very common source of drug interaction alerts because all medications would ideally be logged, ordered or tracked. However, if a patient is prescribed drugs in multiple health systems there typically is not integration of their EHR records. Reconciling all their medication information may be a formidable task for physicians, nurse practitioners, pharmacists or other clinicians, all of whom are often operating under rigorous time constraints.

The study identified 19 cognitive cues upon which clinicians rely to detect and make decisions about drug-drug interactions. These cues include:

  • information that influenced interpretation of potential severity of drug-drug interaction
  • type or degree of side effects or harms
  • patient’s expected duration of exposure to interaction
  • patient-specific conditions that may increase risk of interaction
  • patient’s medical need for the medications
  • characteristics of safer medications

Drug-drug interactions can be addressed by investigating alternative treatments that might be better or safer, altering dosage, as well as stopping or not prescribing a specific medication. Companion activities include educating patients about the warning signs of drug-drug interactions and related adverse events.

There may be situations where the risk of the interaction is considered acceptable based on the benefits and risks of the drugs being considered. But in other cases, a preventive strategy can involve either the patient’s clinicians or the patient or both.

With the greater understanding of clinicians’ cognitive processes related to drug-drug interactions in hospital or outpatient settings presented in this study, there is the potential to design and implement EHR system alerts that provide better, more actionable and more timely information to inform clinicians’ decision-making process and ultimately to improve patient safety.

“This was a rewarding study, not only because of its important scientific contributions, but also that clinicians had the opportunity to spend an hour during an interview, describing in detail actions they took to protect patients from harm,” said study lead author Alissa Russ-Jara, PhD, of Purdue University College of Pharmacy and U.S. Department of Veterans Affairs and a Regenstrief Institute affiliated scientist. “By the end of the interview, many clinicians expressed surprise at how much nuance went into their own decision. Their decisions often occur so rapidly, yet involve so much expertise. Ours was the first study to really unpack that for their decisions around drug-drug interactions. We expect our findings can improve the design and usability of drug-drug interaction alerts for clinicians, and so they can more effectively aid patient safety. Our study focused on clinical decision-making, regardless of whether the clinician was warned by an alert or not, so our findings have implications for clinicians, informatics leaders, and patients, and for any EHR system.”

Recommendations for alert design include:

  • provide information on expected range of timing of potential drug-drug interaction effects (days, weeks, months or years)
  • provide a means for clinicians to review multiple electronic drug-drug interaction reference sources directly from the alert, side-by-side
  • leverage data analytics to populate drug-drug interaction alerts with "smart" displays of alternative drugs, that align with three criteria used by clinicians.
  • provide recommendations(s) on the alert along with associated patient characteristics (for example, “monitor, if patient indicates willingness and capability of measuring blood pressure daily”)

Cognitive Task Analysis of Clinicians’ Drug-Drug Interaction Management during Patient Care and Implications for Alert Design” is published in BMJ Open.

Authors and affiliations

Alissa L. Russ-Jara, PhD,1-3; Nervana Elkhadragy, PharmD, M.S., PhD, 2,4; Karen J. Arthur, PharmD,5; Julie B. Diiulio, M,S.,6; Laura G. Militello, M.A.,6; Amanda P. Ifeachor, PharmD, MPH, 5; Peter A. Glassman, MBBS, MSc,7, 8,9; Alan J. Zillich, PharmD,2; Michael Weiner, M.D., MPH, 1,5,10,11.

1Health Services Research and Development Service CIN 13-416, Center for Health Information and Communication, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Indianapolis, Indiana, USA

2Department of Pharmacy Practice, College of Pharmacy, Purdue University, West Lafayette, Indiana, USA

3Regenstrief Center for Healthcare Engineering, Purdue University, West Lafayette, Indiana, USA

4School of Pharmacy, University of Wyoming, Laramie, Wyoming, USA

5Richard L. Roudebush VA Medical Center, U.S. Department of Veterans Affairs (VA), Veterans Health Administration, Indianapolis, Indiana, USA

6Applied Decision Science, LLC, Dayton, Ohio, USA

7 Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA

Pharmacy Benefits Management Services, Department of Veterans Affairs (VA), Washington DC, USA

9Department of Medicine, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA

10Center for Health Services Research, Regenstrief Institute, Inc., Indianapolis, Indiana, USA

11 Department of Medicine, Indiana University, Indianapolis, Indiana, USA

In addition to the affiliations listed above, Dr. Russ-Jara and Dr. Zillich are Regenstrief Institute affiliate scientists.

This work was supported by the VA Health Services Research and Development Service, Career Development Award 11-214.

About Michael Weiner, M.D., MPH 
In addition to his role as a research scientist with the William M. Tierney Center for Health Services Research at Regenstrief Institute, Michael Weiner, M.D., MPH, is a research scientist at the VA Health Service Research and Development Center for Health Information and Communication, Richard L. Roudebush VA Medical Center, and a professor of medicine at Indiana University School of Medicine.

About Regenstrief Institute
Founded in 1969 in Indianapolis, the Regenstrief Institute is a local, national and global leader dedicated to a world where better information empowers people to end disease and realize true health. A key research partner to Indiana University, Regenstrief and its research scientists are responsible for a growing number of major healthcare innovations and studies. Examples range from the development of global health information technology standards that enable the use and interoperability of electronic health records to improving patient-physician communications, to creating models of care that inform clinical practice and improve the lives of patients around the globe.

Sam Regenstrief, a nationally successful entrepreneur from Connersville, Indiana, founded the institute with the goal of making healthcare more efficient and accessible for everyone. His vision continues to guide the institute’s research mission.

About Veteran Health Indiana and CHIC
The Richard L. Roudebush VA Medical Center is the flagship medical center for Veteran Health Indiana, the VA’s healthcare system in central and southern Indiana. The medical center is located in downtown Indianapolis and is collocated with three large community hospitals and the campus of the Indiana University Schools of Medicine and Nursing. The health system has been serving Hoosier Veterans since 1932. As Indiana’s Level 1a, tertiary care Veteran facility, the medical center serves as home base for a system of inpatient and outpatient care locations serving more than 62,000 Veterans.

The VA Health Services Research and Development (HSR&D) Center for Health Information and Communication (CHIC) group is a diverse cadre of researchers based at Roudebush VA Medical Center who work together to transform the healthcare system, both within and outside the VA so every patient receives consistent, high-quality care.

About IU School of Medicine
IU School of Medicine is the largest medical school in the U.S. and is annually ranked among the top medical schools in the nation by U.S. News & World Report. The school offers high-quality medical education, access to leading medical research and rich campus life in nine Indiana cities, including rural and urban locations consistently recognized for livability.

About Purdue University College of Pharmacy
The mission of the Purdue University College of Pharmacy is to advance scientific discovery and development, maximize global health outcomes through patient care and public service, and educate and train students to become leading pharmacists and scientists. The goal is to transform the practice and science of pharmacy to lead advances in human health.

 

New study taps artificial intelligence to streamline the crowdsourcing of ideas


Peer-Reviewed Publication

INSTITUTE FOR OPERATIONS RESEARCH AND THE MANAGEMENT SCIENCES




INFORMS Journal Marketing Science Study Key Takeaways:

  • Crowdsourcing generates thousands of ideas for new products.
  • AI can immediately help screen out bad ideas and narrow the field to the best ones in crowdsourcing to improve efficiency.
  • Ultimately, AI could identify the best ideas or even design good ideas.

 

BALTIMORE, MD, January 3, 2024 – New research has found a way to leverage the power of artificial intelligence (AI) to more efficiently screen out bad ideas to focus on only good ideas in the crowdsourcing process within ideation. More specifically, the research has arrived at a simple model for screening out ideas that experts might consider “bad.” Importantly, managers can adjust their model to determine how many bad ideas to screen out, without losing good ones. The research also found a single new predictor that screens out atypical ideas and preserves more inclusive and rich ideas.

The article, published in the peer-reviewed INFORMS journal Marketing Science, is called “Can AI Help in Ideation? A Theory-based Model for Idea Screening in Crowdsourcing Contests.” The authors of the study are J. Jason Bell of the University of Oxford, Christian Pescher of Universidad de los Andes in Chile, Gerard Tellis of the University of Southern California and Johann Füller of the University of Innsbruck in Austria.

Business managers will often engage in crowdsourcing to generate the largest number of ideas for a new product or service. These crowdsourcing contests can generate thousands of ideas, forcing managers and their teams to physically and manually wade through each to identify the best ones. This is not only time consuming, but may lack consistency and continuity in the evaluation.

The study authors aimed to address this by focusing on what AI could do to improve the process.

“Idea generation and screening are fundamental to marketing success because they comprise the start of new product development,” says Tellis. “They belong to the ‘fuzzy front end,’ a key point of leverage in new product development.”

The researchers used data from Hyve, an innovation company that runs a crowdsourcing platform (www.HyveCrowd.com) for idea generation and selection. They asked the platform to specify the threshold of accuracy that would satisfy Hyve’s clients. Using a data set of 21 crowdsourcing contests that included 4,191 ideas, they tested how AI could assist in the crowdsourcing process. The model was fitted on 20 contests and used to predict success in the 21st idea left out.

“What we found was that once developed, AI models are relatively low-cost to operate, they do not share internal biases or succumb to internal biases,” says Bell. “By ‘internal biases’ we mean a natural bias that may occur when the human evaluator may see an idea as challenging their own favored approach.” 

Pescher adds, “We also found that AI models are private, improving the ability to protect intellectual property, they cannot suffer from exhaustion, and they are transparent.”

“People and experts are still needed,” says Füller. “In the selection phase, AI can replace humans in the screening and narrowing of those ideas. But in the long run, if automation is used properly, it can even eliminate the need for human idea generators and make crowdsourcing itself obsolete.”

 

Link to Study

 

About INFORMS and Marketing Science

Marketing Science is a premier peer-reviewed scholarly marketing journal focused on research using quantitative approaches to study all aspects of the interface between consumers and firms. It is published by INFORMS, the leading international association for operations research and analytics professionals. More information is available at www.informs.org or @informs.

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UH optometrist receives $1.4 million to map the cornea


Unlocking the secrets of blinking, tearing, and pain sensation could improve understanding of dry eye disease

Grant and Award Announcement

UNIVERSITY OF HOUSTON

Anna Matynia, associate professor at the University of Houston College of Optometry 

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ANNA MATYNIA, ASSOCIATE PROFESSOR AT THE UNIVERSITY OF HOUSTON COLLEGE OF OPTOMETRY, WILL CREATE A DETAILED MAP OF THE CORNEA TO FACILITATE A DEEPER UNDERSTANDING OF OCULAR PAIN AND DRY EYE DISEASE.

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CREDIT: UNIVERSITY OF HOUSTON




Consider the cornea if you will – and most people won’t unless they’re having a problem. It is the transparent front surface of the eye which allows vision by focusing light as it enters. The cornea is densely packed with multi-tasking nerves that mediate pain, blink reflexes and tear production, all indispensable tasks in the proper maintenance of ocular surface health. Because it is highly innervated, meaning it has a lot of nerve connections, the cornea is a key area for understanding sensory functions.   

But it is that same complexity which has made it increasingly difficult to grasp the full nature of how those corneal nerves work, resulting in key knowledge gaps in the field. A University of Houston optometrist researcher is set to fill in the gaps by mapping the cornea and providing a comprehensive analysis of corneal nerves at the morphologic, molecular and functional level. 

“We are developing methods to selectively label the neurons that innervate the cornea. These neurons make up about 1% of the population of neurons located in the trigeminal ganglia, the peripheral nervous system that mediates pain and other sensory functions,” said Anna Matynia, associate professor at the University of Houston College of Optometry.  

Matynia has received $1.4 million from Duke University via the National Eye Institute to explore new approaches to disentangle these intricate networks and discover which nerve makes people blink, which creates tears and which nerve tells us our eye is in pain.  

Matynia and her team are using advanced imaging, studying genes, and using computers to map the corneal nerves. They are also figuring out which nerves connect directly to the eye and creating a detailed map of how they're all connected. 

“These efforts will provide critical clues for understanding corneal structure-function and will lead to an unprecedented cartography,” said Matynia. “The advancements from this work will be poised to facilitate a deeper understanding of related pathobiology including neuropathic ocular pain and dry eye disease that will lay the foundation for future translational and clinical research.” 

Matynia’s team includes Daniel R. Saban, Duke University and Victor Perez, University of Miami.