ReportWire

Tag: Engineering

  • Tracking Trust in Human-Robot Work Interactions

    Tracking Trust in Human-Robot Work Interactions

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    Newswise — The future of work is here.

    As industries begin to see humans working closely with robots, there’s a need to ensure that the relationship is effective, smooth and beneficial to humans. Robot trustworthiness and humans’ willingness to trust robot behavior are vital to this working relationship. However, capturing human trust levels can be difficult due to subjectivity, a challenge researchers in the Wm Michael Barnes ’64 Department of Industrial and Systems Engineering at Texas A&M University aim to solve.

    Dr. Ranjana Mehta, associate professor and director of the NeuroErgonomics Lab, said her lab’s human-autonomy trust research stemmed from a series of projects on human-robot Interactions in safety-critical work domains funded by the National Science Foundation (NSF).

    “While our focus so far was to understand how operator states of fatigue and stress impact how humans interact with robots, trust became an important construct to study,” Mehta said. “We found that as humans get tired, they let their guards down and become more trusting of automation than they should. However, why that is the case becomes an important question to address.”

    Mehta’s latest NSF-funded work, recently published in Human Factors: The Journal of the Human Factors and Ergonomics Society, focuses on understanding the brain-behavior relationships of why and how an operator’s trusting behaviors are influenced by both human and robot factors.

    Mehta also has another publication in the journal Applied Ergonomics that investigates these human and robot factors.

    Using functional near-infrared spectroscopy, Mehta’s lab captured functional brain activity as operators collaborated with robots on a manufacturing task. They found faulty robot actions decreased the operator’s trust in the robots. That distrust was associated with increased activation of regions in the frontal, motor and visual cortices, indicating increasing workload and heightened situational awareness. Interestingly, the same distrusting behavior was associated with the decoupling of these brain regions working together, which otherwise were well connected when the robot behaved reliably. Mehta said this decoupling was greater at higher robot autonomy levels, indicating that neural signatures of trust are influenced by the dynamics of human-autonomy teaming.

    “What we found most interesting was that the neural signatures differed when we compared brain activation data across reliability conditions (manipulated using normal and faulty robot behavior) versus operator’s trust levels (collected via surveys) in the robot,” Mehta said. “This emphasized the importance of understanding and measuring brain-behavior relationships of trust in human-robot collaborations since perceptions of trust alone is not indicative of how operators’ trusting behaviors shape up.”

    Dr. Sarah Hopko ’19, lead author on both papers and recent industrial engineering doctoral student, said neural responses and perceptions of trust are both symptoms of trusting and distrusting behaviors and relay distinct information on how trust builds, breaches and repairs with different robot behaviors. She emphasized the strengths of multimodal trust metrics — neural activity, eye tracking, behavioral analysis, etc. — can reveal new perspectives that subjective responses alone cannot offer.

    The next step is to expand the research into a different work context, such as emergency response, and understand how trust in multi-human robot teams impact teamwork and taskwork in safety-critical environments. Mehta said the long-term goal is not to replace humans with autonomous robots but to support them by developing trust-aware autonomy agents.

    “This work is critical, and we are motivated to ensure that humans-in-the-loop robotics design, evaluation and integration into the workplace are supportive and empowering of human capabilities,” Mehta said.

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    Texas A&M University

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  • KIMM Develops a Smart Valve that Automatically Detects and Isolates Ruptures in a Pipeline System

    KIMM Develops a Smart Valve that Automatically Detects and Isolates Ruptures in a Pipeline System

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    Newswise — A smart valve that automatically isolates pipe ruptures caused by accidents was developed for the first time in South Korea.

    The Korea Institute of Machinery and Materials, an institution under the jurisdiction of the Ministry of Science and ICT (President Sang Jin Park, hereafter referred to as KIMM), has successfully developed “K-smart valve”, that is capable of quickly detecting and isolating ruptured pipes on its own and recovering key functions in a pipeline system when a leakage occurs due to unexpected pipe breakage at an industrial site.

    ※ K-Smart Valve: The “Smart Valve” for the use of a Naval Ship was first developed by the US Navy and is widely referred to by this term as a proper noun. The valve developed by the researchers at KIMM works with completely a different mechanism (algorithm), which led to it being named as the “K-Smart Valve.”

    The research team led by Dr. Byungchang Jung, a principal researcher at the KIMM Department of System Dynamics, applied an artificial intelligence (AI) algorithm to the K-Smart Valve to autonomously recognize a leakage and isolate ruptured pipes without any control command from an operator. 

    Most piping systems in naval ships, general ships, offshore plants, etc., has a Valve Remote Control System (VRCS). Using the VRCS, an operator can open and close valves remotely if necessary while monitoring the pressure, flow, and temperature in a pipeline. 

    However, when unexpected accidents such as pipe breakages with communication network loss or electric power loss occur, it is not easy for workers to recognize the situation and respond calmly. Moreover, if they are not quick enough to respond, such incidents could lead to greater secondary damage. 

    KIMM’s K-Smart Valve was developed with the primary purpose of being applied to the pipeline system in a naval ship such as the fire extinguishing and cooling systems. In the event of unexpected pipe damage from a threat during combat, the K-Smart Valve can promptly restore original functions of the pipeline system (e.g. utilizing of fire-extinguishing water or cooling water) without any control from crews to minimize secondary damage caused by the spread of fire or overheating of weapon systems.

    The K-Smart Valve consists of a valve body, two pressure sensors, an actuator and a control module. A remote control valve can simply become the K-Smart Valve by embedding the AI algorithm in a control module in the remote control valve. Thus, it is possible to easily build an autonomous recovery system using the K-Smart Valves without significant changes of a VRCS that is already installed in any pipeline system. 

    Dr. Jung stated, “The K-Smart Valve can prevent human life and property losses in various industrial sites through rapid recovery in the event of a pipe breakage accident.” He added, “In the future, the K-Smart Valve will be widely used for unmanned technology not only in the military, such as for naval ships, but also in general ships and onshore and offshore plants at industrial sites.”

    This study was conducted as part of the “AI-based machine system predictive diagnosis and accident response technology” project, a core project at KIMM. There are plans underway to begin developing practical applications through the civil-military technology transfer project in 2023 in collaboration with BY Controls, Inc. and Pusan National University, with the goal of applying the technology to the fire extinguishing system of navy vessels.

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    The Korea Institute of Machinery and Materials (KIMM) is a non-profit government-funded research institute under the Ministry of Science and ICT. Since its foundation in 1976, KIMM is contributing to economic growth of the nation by performing R&D on key technologies in machinery and materials, conducting reliability test evaluation, and commercializing the developed products and technologies.

    The research result of this project was published in IEEE/ASME Transactions on Mechatronics, No. 27*, a renowned academic journal in the field of automation and control systems.

    * Publication Title: Development of Autonomous Recovery System for Pipeline of Naval Ships by Using a Multistage Control Algorithm (2022.04.)

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    National Research Council of Science and Technology

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  • Miami Beach condo evacuated after engineer raises concerns

    Miami Beach condo evacuated after engineer raises concerns

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    MIAMI BEACH — Officials in Miami Beach ordered residents of a 164-unit high-rise condo building to evacuate Thursday following safety concerns reported by a structural engineer.

    The city posted an unsafe structure notice at the oceanfront Port Royale Condominium, Miami Beach spokesperson Melissa Berthier said in an email.

    The 14-story building, built in 1971, is undergoing a recertification required at 50 years old, and an engineer discovered excessive movement of a concrete beam from its original position in the garage level, Berthier said.

    Inspection Engineers Inc. said in a letter to the city that it was working with a shoring expert to obtain a permit from the city. The new shoring should be installed within 10 days, and then engineers would inspect the building again.

    Other buildings in South Florida have been evacuated in similar safety scares since the June 2021 collapse in Surfside, which killed 98 people just a few miles up the beach from Port Royale.

    The Champlain Towers South collapse focused scrutiny on the structural integrity of aging condominium towers throughout Florida, especially along its coastlines, and the state has since moved to strengthen laws requiring inspections and periodic recertification of buildings.

    Miami-Dade County had required the first recertification only after 40 years, and the Surfside building was undergoing that recertification process when it collapsed.

    New state rules signed into law in May require buildings to have their first recertification after 30 years — or 25 if they are within 3 miles (5 kilometers) of the coast, and then every 10 years thereafter.

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  • Building with Nanoparticles, From the Bottom Up

    Building with Nanoparticles, From the Bottom Up

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    Newswise — Researchers at MIT have developed a technique for precisely controlling the arrangement and placement of nanoparticles on a material, like the silicon used for computer chips, in a way that does not damage or contaminate the surface of the material.

    The technique, which combines chemistry and directed assembly processes with conventional fabrication techniques, enables the efficient formation of high-resolution, nanoscale features integrated with nanoparticles for devices like sensors, lasers, and LEDs, which could boost their performance.

    Transistors and other nanoscale devices are typically fabricated from the top down — materials are etched away to reach the desired arrangement of nanostructures. But creating the smallest nanostructures, which can enable the highest performance and new functionalities, requires expensive equipment and remains difficult to do at scale and with the desired resolution.

    A more precise way to assemble nanoscale devices is from the bottom up. In one scheme, engineers have used chemistry to “grow” nanoparticles in solution, drop that solution onto a template, arrange the nanoparticles, and then transfer them to a surface. However, this technique also involves steep challenges. First, thousands of nanoparticles must be arranged on the template efficiently. And transferring them to a surface typically requires a chemical glue, large pressure, or high temperatures, which could damage the surfaces and the resulting device.

    The MIT researchers developed a new approach to overcome these limitations. They used the powerful forces that exist at the nanoscale to efficiently arrange particles in a desired pattern and then transfer them to a surface without any chemicals or high pressures, and at lower temperatures. Because the surface material remains pristine, these nanoscale structures can be incorporated into components for electronic and optical devices, where even minuscule imperfections can hamper performance.

    “This approach allows you, through engineering of forces, to place the nanoparticles, despite their very small size, in deterministic arrangements with single-particle resolution and on diverse surfaces, to create libraries of nanoscale building blocks that can have very unique properties, whether it is their light-matter interactions, electronic properties, mechanical performance, etc.,” says Farnaz Niroui, the EE Landsman Career Development Assistant Professor of Electrical Engineering and Computer Science (EECS) at MIT, a member of the MIT Research Laboratory of Electronics, and senior author on a new paper describing the work. “By integrating these building blocks with other nanostructures and materials we can then achieve devices with unique functionalities that would not be readily feasible to make if we were to use the conventional top-down fabrication strategies alone.”

    The research is published in Science Advances. Niroui’s co-authors are lead author Weikun “Spencer” Zhu, a graduate student in the Department of Chemical Engineering, as well as EECS graduate students Peter F. Satterthwaite, Patricia Jastrzebska-Perfect, and Roberto Brenes.

    Use the forces

    To begin their fabrication method, known as nanoparticle contact printing, the researchers use chemistry to create nanoparticles with a defined size and shape in a solution. To the naked eye, this looks like a vial of colored liquid, but zooming in with an electron microscope would reveal millions of cubes, each just 50 nanometers in size. (A human hair is about 80,000 nanometers wide.)

    The researchers then make a template in the form of a flexible surface covered with nanoparticle-sized guides, or traps, that are arranged in the shape they want the nanoparticles to take. After adding a drop of nanoparticle solution to the template, they use two nanoscale forces to move the particles into the right position. The nanoparticles are then transferred onto arbitrary surfaces.

    At the nanoscale, different forces become dominant (just like gravity is a dominant force at the macroscale). Capillary forces are dominant when the nanoparticles are in liquid and van der Waals forces are dominant at the interface between the nanoparticles and the solid surface they are in contact with. When the researchers add a drop of liquid and drag it across the template, capillary forces move the nanoparticles into the desired trap, placing them precisely in the right spot. Once the liquid dries, van der Waals forces hold those nanoparticles in position.

    “These forces are ubiquitous and can often be detrimental when it comes to the fabrication of nanoscale objects as they can cause the collapse of the structures. But we are able to come up with ways to control these forces very precisely to use them to control how things are manipulated at the nanoscale,” says Zhu.

    They design the template guides to be the right size and shape, and in the precisely proper arrangement so the forces work together to arrange the particles. The nanoparticles are then printed onto surfaces without a need for any solvents, surface treatments, or high temperatures. This keeps the surfaces pristine and properties intact while allowing yields of more than 95 percent. To promote this transfer, the surface forces need to be engineered so that the van der Waals forces are strong enough to consistently promote particles to release from the template and attach to the receiving surface when placed in contact.

    Unique shapes, diverse materials, scalable processing

    The team used this technique to arrange nanoparticles into arbitrary shapes, such as letters of the alphabet, and then transferred them to silicon with very high position accuracy. The method also works with nanoparticles that have other shapes, such as spheres, and with diverse material types. And it can transfer nanoparticles effectively onto different surfaces, like gold or even flexible substrates for next-generation electrical and optical structures and devices.

    Their approach is also scalable, so it can be extended to be used toward fabrication of real-world devices.

    Niroui and her colleagues are now working to leverage this approach to create even more complex structures and integrate it with other nanoscale materials to develop new types of electronic and optical devices.

    This work was supported, in part, by the National Science Foundation (NSF) and the NSF Graduate Research Fellowship Program.

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    Massachusetts Institute of Technology (MIT)

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  • New Flexible, Steerable Device Placed in Live Brains by Minimally Invasive Robot

    New Flexible, Steerable Device Placed in Live Brains by Minimally Invasive Robot

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    Newswise — The early-stage research tested the delivery and safety of the new implantable catheter design in two sheep to determine its potential for use in diagnosing and treating diseases in the brain.  

    If proven effective and safe for use in people, the platform could simplify and reduce the risks associated with diagnosing and treating disease in the deep, delicate recesses of the brain.   

    It could help surgeons to see deeper into the brain to diagnose disease, deliver treatment like drugs and laser ablation more precisely to tumours, and better deploy electrodes for deep brain stimulation in conditions such as Parkinson’s and epilepsy.  

    Senior author Professor Ferdinando Rodriguez y Baena, of Imperial’s Department of Mechanical Engineering, led the European effort and said: “The brain is a fragile, complex web of tightly packed nerve cells that each have their part to play. When disease arises, we want to be able to navigate this delicate environment to precisely target those areas without harming healthy cells.  

    “Our new precise, minimally invasive platform improves on currently available technology and could enhance our ability to safely and effectively diagnose and treat diseases in people, if proven to be safe and effective.” 

    Developed as part of the Enhanced Delivery Ecosystem for Neurosurgery in 2020 (EDEN2020) project, the findings are published in PLOS ONE. 

    Stealth Surgery  

    The platform improves on existing minimally invasive, or ‘keyhole’, surgery, where surgeons deploy tiny cameras and catheters through small incisions in the body.   

    It includes a soft, flexible catheter to avoid damaging brain tissue while delivering treatment, and an artificial intelligence (AI)-enabled robotic arm to help surgeons navigate the catheter through brain tissue.   

    Inspired by the organs used by parasitic wasps to stealthily lay eggs in tree bark, the catheter consists of four interlocking segments that slide over one another to allow for flexible navigation. 

    It connects to a robotic platform that combines human input and machine learning to carefully steer the catheter to the disease site. Surgeons then deliver optical fibres via the catheter so they can see and navigate the tip along brain tissue via joystick control. 

    The AI platform learns from the surgeon’s input and contact forces within brain tissues to guide the catheter with pinpoint accuracy. 

    Compared to traditional ‘open’ surgical techniques, the new approach could eventually help to reduce tissue damage during surgery, and improve patient recovery times and length of post-operative hospital stays. 

    While performing minimally invasive surgery on the brain, surgeons use deeply penetrating catheters to diagnose and treat disease. However, currently used catheters are rigid and difficult to place precisely without the aid of robotic navigational tools. The inflexibility of the catheters combined with the intricate, delicate structure of the brain means catheters can be difficult to place precisely, which brings risks to this type of surgery.   

    To test their platform, the researchers deployed the catheter in the brains of two live sheep at the University of Milan’s Veterinary Medicine Campus. The sheep were given pain relief and monitored for 24 hours a day over a week for signs of pain or distress before being euthanised so that researchers could examine the structural impact of the catheter on brain tissue.  

    They found no signs of suffering, tissue damage, or infection following catheter implantation.   

    Lead author Dr Riccardo Secoli, also from Imperial’s Department of Mechanical Engineering, said: “Our analysis showed that we implanted these new catheters safely, without damage, infection, or suffering. If we achieve equally promising results in humans, we hope we may be able to see this platform in the clinic within four years.   

    “Our findings could have major implications for minimally invasive, robotically delivered brain surgery. We hope it will help to improve the safety and effectiveness of current neurosurgical procedures where precise deployment of treatment and diagnostic systems is required, for instance in the context of localised gene therapy.”  

    Professor Lorenzo Bello, study co-author from the University of Milan, said: “One of the key limitations of current MIS is that if you want to get to a deep-seated site through a burr hole in the skull, you are constrained to a straight-line trajectory. The limitation of the rigid catheter is its accuracy within the shifting tissues of the brain, and the tissue deformation it can cause. We have now found that our steerable catheter can overcome most of these limitations.” 

    This study was funded by the EU Horizon 2020 programme.  

    Modular robotic platform for precision neurosurgery with a bio-inspired needle: system overview and first in-vivo deployment” by Riccardo Secoli, Eloise Matheson, Marlene Pinzi, Stefano Galvan, Abdulhamit Donder, Thomas Watts, Marco Riva, Davide Zani, Lorenzo Bello, and Ferdinando Rodriguez y Baena. Published 19 October 2022 in PLOS ONE. 

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    Imperial College London

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  • How Scientist Designed the Trajectory of Microsatellite Swarm From the Macro-Micro Perspective?

    How Scientist Designed the Trajectory of Microsatellite Swarm From the Macro-Micro Perspective?

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    Newswise — As an emerging multi-satellite cooperative flight mode, microsatellite swarm has become an important future research issue for distributed space systems due to their advantages of low cost, rapid response, and collaborative decision-making. To address the coordination of swarms for autonomous agents, a probabilistic guidance approach has been investigated, which contained sub-swarms with different mission objectives. Probabilistic swarm guidance enables autonomous microsatellites to generate their individual trajectories independently so that the entire swarm converges to the desired distribution shape. However, it is essential to avoid crowding for reducing the possibility of collisions between microsatellites, which brings challenges to the design of the collision avoidance algorithm. In a research paper recently published in Space: Science & Technology, Bing Xiao, from School of Automation, Northwestern Polytechnical University, proposed a Centroidal Voronoi tessellation (CVT) and Model Predictive Control (MPC) based synthesis method, aiming to achieve macro-micro trajectory optimization of microsatellite swarm.

    First of all, the author formulated the transfer model of swarm microsatellites in 3D space and introduced the probabilistic swarm guidance law. Afterwards, since it was essential to avoid crowding for reducing the possibility of collisions between microsatellites, the safety analysis of collision avoidance wad conducted based on finding the lower bound of the minimum distance between all microsatellites at any time. To determine the collision-free guidance trajectory of each microsatellite from the current position to the target space, a collision avoidance algorithm was necessary. However, with high-level coordination that used the macroscopic models, collision-free trajectories were very hard to generate. Hence, the author presented a synthesis method, where the trajectory planning was divided into macro-planning and micro-planning.

    Then, the author presented the details of macro-planning and micro-planning of microsatellite swarm, respectively. In the Macro-planning of microsatellite swarm, the target position of each microsatellite was determined by the centroid generated through CVT algorithm, and all microsatellites moved to the corresponding centroid until the algorithm converges. According to the location of the centroid, the final distribution of the microsatellite swarm in the space was obtained. In the Micro-planning of microsatellite swarm, MPC was adopted to generate the optimal trajectories for each step and finally reached the specified position in the target cube. Specifically, the author established the orbital dynamics model considering J2 perturbation and implemented the convexification of collision avoidance constraints in the process of swarm reconfiguration. To achieve the real-time trajectory planning, model predictive control was introduced, which used a receding horizon to update the optimal trajectories based on the current state information. Significantly, the proposed method can not only realize collision avoidance of microsatellite swarm maneuvering at the macrolevel, but also provided optimal trajectories for each microsatellite of swarm individuals at the micro-level.

    Finally, the numerical simulation was carried out to verify the proposed macro-micro trajectory planning method of microsatellite swarm. The author gave a virtual central microsatellite and designed a large-scale (300) microsatellite swarm with an omnidirectional flight configuration. The CVT algorithm was used to divide regions, and so as to determine the position of the microsatellites to be transferred at the next moment. Then, one of the cubes was selected in the transfer process and performed CVT on it to determine the transfer position of the microsatellite. After 50 iterations, a stable configuration was obtained, and the position where the microsatellite moved at the next moment was determined. Due to the large scale of the microsatellite swarm, the process of achieving the final configuration required many transitions. To verify the proposed trajectory optimization based on model predictive control, one of the microsatellites was selected from the initial point to the next desired target point at a certain moment. The individual microsatellites can reach the desired point well. After the desired point was reached, the next iteration would be carried out, and due to the influence of orbital dynamics, the microsatellite may not remain the target point without control constraints. To make the mission of microsatellite swarm more practical, MPC was used in micro-planning to improve the performance of microsatellite swarm in terms of fuel consumption and resource utilization. Thus, simulation results about the collision-free guidance trajectory of microsatellites verified the benefits of the planning scheme, which accorded well with engineering practice.

     

    Reference

    Author: Xiwei Wu , Bing Xiao , Cihang Wu , and Yiming Guo

    Title of original paper: Centroidal Voronoi Tessellation and Model Predictive Control–Based Macro-Micro Trajectory Optimization of Microsatellite Swarm

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    Beijing Institute of Technology

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  • Speeding Up DNA Computation with Liquid Droplets

    Speeding Up DNA Computation with Liquid Droplets

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    Newswise — Recent studies have shown that liquid-liquid phase separation – akin to how oil droplets form in water – leads to formation of diverse types of membraneless organelles, such as stress granules and nucleoli, in living cells. These organelles, also called biomolecular condensates, are liquid droplets performing specific cellular functions including gene regulation and stress response.

    Now, a joint research team led by Professor Yongdae Shin and Do-Nyun Kim at Seoul National University announced that they harnessed the unique properties of the self-assembling DNA molecules to build synthetic condensates with programmable compositions and functionalities.

    The researchers designed DNA scaffolds with motifs for self-association as well as specific recruitment of DNA targets. In a proper range of salt concentration and temperature, the engineered DNA scaffolds underwent liquid-liquid phase separation to form dense condensates, organized in a highly similar manner to those in living cells. The synthetic DNA condensates can recruit specific target DNA molecules, and the researchers demonstrated that the degree of recruitment can be precisely defined at the DNA sequence level.

    They then endowed the synthetic condensates with functionalities by using DNA computation components as targets. DNA computing has been widely implemented for various bioengineering and medical applications, due to its intrinsic capacity of parallel computation. However, the slow speed of individual computation process has been a major drawback. With the synthetic DNA condensates, Shin and his team showed that DNA computation including logic gate operations were drastically sped up, by more than tenfold, when coupled to the condensates.

    The architecture of DNA scaffolds also allowed selective recruitment of specific computing operations among many others running in parallel, which enabled a novel kinetics-based gating mechanism. The researchers expected that their system could be widely applied to diverse DNA circuits for disease diagnostics, biosensing, and other advanced molecular computations.

    The results of this study were published in Science Advances.

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    Seoul National University

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  • Double trouble when 2 disasters strike electrical transmission infrastructure

    Double trouble when 2 disasters strike electrical transmission infrastructure

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    Newswise — COLUMBUS, Ohio – One natural disaster can knock out electric service to millions. A new study suggests that back-to-back disasters could cause catastrophic damage, but the research also identifies new ways to monitor and maintain power grids.

    Researchers at The Ohio State University have developed a machine learning model for predicting how susceptible overhead transmission lines are to damage when natural hazards like hurricanes or earthquakes happen in quick succession.

    An essential facet of modern infrastructure, steel transmission towers help send electricity across long distances by keeping overhead power lines far off the ground. After severe damage, failures in these systems can disrupt networks across affected communities, taking anywhere from a few weeks to months to fix. 

    The study, published in the journal Earthquake Engineering and Structural Dynamics, uses simulations to analyze what effect prior damage has on the performance of these towers once a second hazard strikes. Their findings suggest that previous damage has a considerable impact on the fragility and reliability of these networks if it can’t be repaired before the second hazard hits, said Abdollah Shafieezadeh, co-author of the study and an associate professor of civil, environmental and geodetic engineering. 

    “Our work aims to answer if it’s possible to design and manage systems in a way that not only minimizes their initial damage but enables them to recover faster,” said Shafieezadeh. 

    The machine learning model not only found that a combination of an earthquake and hurricane could be particularly devastating to the electrical grid, but that the order of the disasters may make a difference. The researchers found that the probability of a tower collapse is much higher in the event of an earthquake followed by a hurricane than the probability of failure when the hurricane comes first and is followed by an earthquake.

    That means while communities would certainly suffer some setbacks in the event that a hurricane precedes an earthquake, a situation wherein an earthquake precedes a hurricane could devastate a region’s power grid. Such conclusions are why Shafieezadeh’s research has large implications for disaster recovery efforts.

    “When large-scale power grid systems are spread over large geographic areas, it’s not possible to carefully inspect every inch of them very carefully,” said Shafieezadeh. ”Predictive models can help engineers or organizations see which towers have the greatest probability of failure and quickly move to improve those issues in the field.”

    After training the model for numerous scenarios, the team created “fragility models” that tested how the structures would hold up under different characteristics and intensities of natural threats. With the help of these simulations, researchers concluded that tower failures due to a single hazardous event were vastly different from the pattern of failures caused by multi-hazard events. The study noted that many of these failings occurred in the leg elements of the structure, a segment of the tower that helps bolt the structure to the ground and prevents collapse. 

    Overall, Shafieezadeh said his research shows a need to focus on re-evaluating the entire design philosophy of these networks. Yet to accomplish such a task, much more support from utilities and government agencies is needed. 

    “Our work would be greatly beneficial in creating new infrastructure regulations in the field,” Shafieezadeh said. “This along with our other research shows that we can substantially improve the entire system’s performance with the same amount of resources that we spend today, just by optimizing their allocation.”

    This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy of the Republic of Korea (MOTIE). 

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    Ohio State University

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  • Virtual Press Briefing on Recent Advances in Focused Ultrasound

    Virtual Press Briefing on Recent Advances in Focused Ultrasound

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    Focused Ultrasound Media Event

    Monday, October 24, 2022

    12–1:30 pm ET

    Reserve your spot by clicking HERE.

    Newswise — The 8th International Symposium on Focused Ultrasound – a hybrid virtual and in-person four-day event held in Bethesda, MD –, includes an interactive virtual press briefing featuring the most recent clinical and preclinical advances and emerging applications of focused ultrasound. Global experts will highlight the use of focused ultrasound – a noninvasive, therapeutic, game-changing, highly disruptive technology – in cancer immunotherapy; neuromodulation for depression; and the treatment of pancreatic cancer, pediatric brain tumors, and twin-to-twin transfusion syndrome in fetal populations. 

    The briefing will be held via Zoom with pre-recorded presentations, followed by a live Q&A.

    Featured speakers and topics include: 

    • David Attali, MD, and Marion Plaze, MD, PhD, GHU Paris Psychiatrie Neurosciences, Paris, France, will discuss the use of neuromodulation to treat psychiatric disorders.
    • Patrick Dillon, MD, Division of Hematology/Oncology, University of Virginia, will discuss the new world’s first focused ultrasound immuno-oncology center and the application of focused ultrasound in immunotherapy. 
    • Jae Young Lee, MD, Department of Radiology, Seoul National University College of Medicine, Seoul, Korea, will describe the application of ultrasound imaging in pancreatic cancer.
    • Christoph Lees, MD, and Caroline Shaw, MD, Imperial College Healthcare NHS Trust, London, United Kingdom, will speak about the use of high intensity focused ultrasound in twin-to-twin transfusion syndrome.
    • Cheng-Chia (Fred) Wu, MD, PhD, Department of Radiation Oncology, Columbia University, will discuss focused ultrasound to treat DIPG, a rare fatal brain tumor affecting children.

    The Symposium, hosted by the Focused Ultrasound Foundation, is the world’s leading forum for sharing the latest translational and clinical advances in focused ultrasound. The four-day event will spotlight breakthrough preclinical, translational, and clinical research related to one of today’s most promising and innovative therapeutic technologies. This year, we are offering members of the media FREE REGISTRATION to attend the Symposium in-person or virtually (please email Wes Myhre for the code).

    Note: You do not need a code to register for the free media event.

     

    About Focused Ultrasound

    Focused ultrasound uses ultrasound energy guided by real-time imaging to treat tissue deep in the body without incisions or radiation. It is FDA approved in the United States to treat essential tremor, tremor-dominant Parkinson’s disease, uterine fibroids, pain from bone metastases, osteoid osteoma, and the prostate. Dozens of additional indications are approved outside of the US. The technology is in various stages of research and development for more than 160 diseases, including Alzheimer’s disease and tumors of the brain, liver, breast, and pancreas.

     

    About the Focused Ultrasound Foundation

    The Focused Ultrasound Foundation was created to improve the lives of millions of people worldwide by accelerating the development of this noninvasive technology. The Foundation works to clear the path to global adoption by organizing and funding research, fostering collaboration, and building awareness among patients and professionals. Since its establishment in 2006, the Foundation has become the largest nongovernmental source of funding for focused ultrasound research. For more information, visit http://www.fusfoundation.org.

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    Focused Ultrasound Foundation

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  • Engineers Record Neurons to Pinpoint Synaptic Links

    Engineers Record Neurons to Pinpoint Synaptic Links

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    Newswise — HOUSTON – (Oct. 19, 2022) – It’s a mystery how human thoughts and dreams emerge from electrical pulses in the brain’s estimated 100 trillion synapses, and Rice University neuroengineer Chong Xie dreams of changing that by creating a system that can record all the electrical activity in a living brain.

    In a recently published study in Nature Biomedical Engineering, Xie and colleagues described their latest achievement toward that goal, a 3D electrode array that allows them to map the locations and activity of up to 1 million potential synaptic links in a living brain based on recordings of the millisecond-scale evolution of electrical pulses in tens of thousands of neurons in a cubic millimeter of brain tissue.

    “The thing that is novel about this work is the recording density,” said Xie, an associate professor of electrical and computer engineering at Rice and a core member of the Rice Neuroengineering Initiative. “Microcircuits in the brain are very mysterious. We don’t have many ways to map their activity, especially volumetrically. We want to deliver very dense recordings of the cortex because those are important, scientifically, for understanding how brain circuits work.”

    Xie collaborated on the study with colleagues from Rice and the University of California, San Francisco, including Loren Frank of UCSF and co-corresponding author Lan Luan of Rice.

    Neurons are small. Each cubic millimeter of brain tissue contains about 100,000. That density is roughly the same for humans and other mammals, including the rodents that are the subject of experiments in Xie’s lab. The processing power of the brain arises from synaptic connections between neurons. Synaptically linked neuron pairs are connected by narrow bridges of tissue called axons, which are just a few millionths of a meter in diameter.

    Xie’s team has spent years developing a material called nanoelectronic thread (NET) that is thin, ultraflexible and biocompatible, a trifecta of properties for making minimally invasive electrode implants. In previous studies, Xie’s team has demonstrated techniques for emplanting tightly packed NET arrays of up to 128 electrodes. The researchers also showed their arrays could stay in place for up to 10 months,  recording the pulsed spikes of electricity, or action potentials, in nearby neurons.

    “When neurons fire action potentials, there are very faint electrical signals coming out of them,” Xie said. “You have to place the electrodes very close to each neuron in order to capture that signal. Usually, that means a distance less than 100 microns.”

    Using electrodes to record neuronal spikes has been a primary technique in neuroscience for decades, but the evolution of electrode materials has gradually transformed the implantation of neural electrodes from highly invasive procedures that damaged the very brain tissue the electrodes were meant to measure to procedures that result in no measurable tissue damage.

    One of the primary focuses of Xie’s lab is scaling up the size of its implant arrays. In the new study, Xie and colleagues, including Hanlin Zhu, one of the lead graduate students on the project, implanted arrays of 1,024 NET electrodes in a 1 cubic millimeter volume of brain tissue. 

    “The primary signals we try to measure are the electrical spikes coming from neurons,” Xie said. “That’s how they communicate. And one thing we care a lot about and really want to understand is how neurons are connected.”

    Xie said there is no straightforward way to probe synaptic connections

    “Axons can be very long, and each neuron can be connected by many thousands of others,” he said. “It’s a very, very, very messy network. And probing it is an extremely challenging task, especially while the brain is working.”

    The density of the new electrode array, together with its ability to capture millisecond-by-millisecond changes in the electrical spikes of individual neurons allowed Xie and co-authors to decipher potential synaptic links between neuron pairs.

    “When the synapse works, you usually see a typical pattern when you look at the firing activity of the two neurons,” Xie said.

    It takes a bit of time for the electrical impulse that starts in the presynaptic neurons to propagate down the axon and activate the postsynaptic neuron, he said.

    “We record many, many spikes, and then we need to sort the spikes and attribute each of them to individual neurons,” he said. “We know the location of each electrode, or channel. And each channel records no more than a few neurons at a time. Each neuron is also typically recorded by more than one contact as well. So, you can do something akin to triangulation to identify the location of individual neurons.”

    Once the neurons are mapped, it’s relatively easy to calculate the distance between them and from that, the propagation time for synaptic activation. 

    The 1,024-electrode array gave Xie’s team a ratio of approximately one electrode per 100 neurons in the cubic millimeter volume of brain tissue under study. The lab is working to create denser arrays that pack more electrodes into the same volume.

    The vast majority of neurons in people’s brains are unused, despite the fact that our brains typically consume about as much energy as can be supplied by the body. Neuroscientists don’t fully understand why the brain has so many unused neurons, and Xie said that’s a factor his team considers in the design of their electrode arrays.

    “I want to capture as much of the interactivity as possible,” he said. “I would argue that we don’t need a 1-to-1 ratio of electrodes to neurons to capture all of it, and it is indeed my dream to capture all the interactivity.”

    The research was supported by the National Institute of Neurological Disorders and Stroke (R01NS102917, U01NS115588, R01NS109361, UF1NS107667), the National Heart, Lung and Blood Institute (K25HL140153), the Welch Foundation (F-1941-20170325) and the Howard Hughes Medical Institute.

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  • Model calculates energetics of piercing fangs, claws and other biological weapons

    Model calculates energetics of piercing fangs, claws and other biological weapons

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    Newswise — CHAMPAIGN, Ill. — Researchers have created a model that can calculate the energetics involved when one organism stabs another with its fangs, thorns, spines or other puncturing parts. Because the model can be applied to a variety of organisms, it will help scientists study and compare many types of biological puncturing tools, researchers said. It also will help engineers develop new systems to efficiently pierce materials or resist being pierced.

    The new findings are reported in the Journal of the Royal Society Interface.

    “The idea behind this was to come up with a quantitative framework for comparing a variety of biological puncture systems with each other,” said Philip Anderson, a University of Illinois Urbana-Champaign professor of evolution, ecology and behavior who led the research with postdoctoral researcher Bingyang Zhang. “An initial question of this research was how do we even measure these different systems to make them comparable.”

    “It’s a challenging problem to predict the properties of biological systems,” Zhang said.

    Animals and plants deploy a variety of strategies for stabbing prey or defending themselves from other organisms, and even those that use similar strategies or tools alter those tools to meet their specific needs, the researchers said. Their targets also differ.

    “In vipers, for example, some bite mammals, which means they must puncture through soft tissues encased in skin, while others target reptiles, which have scales, making them stiffer and harder to pierce,” said Anderson, who studies the mechanics and energetics of biological puncturing systems.

    Other organisms, like parasitoid wasps, may use their ovipositors to burrow through the hides of caterpillars but also can penetrate fruit or even wood, he said.

    To develop a model that can be applied to a variety of systems, Zhang determined the key factors that must be included in any calculations of the energetics involved. These include changes in the kinetic energy as the puncturing tool is used, but also take into account the material properties of the target tissue.

    This involves calculations describing how the initial kinetic energy drives a puncturing tool into a material, opening up new surfaces in the material as the fracture propagates. It also takes into consideration the frictional resistance and elasticity of the target tissue.

    The calculations were aimed at tapered puncturing tools, which are common in biological systems, the researchers said.

    Anderson is deploying the new model to aid his studies of puncturing organisms like viper fangs, stingray spines and parasitoid wasp ovipositors.  

    “If we know the morphology or the shape of the damage created by a puncture tool, we can use this model to predict how much energy was expended during a puncture scenario,” Zhang said. “Or we can predict different aspects of the material’s property, for example, how it will fracture, which will be useful in both engineering and biological applications.”

    The National Science Foundation supports this research.

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    University of Illinois at Urbana-Champaign

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  • Development of New Technology for Wastewater Treatment for Semiconductor Production

    Development of New Technology for Wastewater Treatment for Semiconductor Production

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    Newswise — Alcohols are used to remove impurities on the surface of semiconductors or electronics during the manufacturing process, and wastewater containing alcohols is treated using reverse osmosis, ozone, and biological decomposition. Although such methods can lower the alcohol concentration in wastewater, they are ineffective at completely decomposing alcohols in wastewater with a low alcohol concentration. This is because alcohol is miscible in water, making it impossible to completely separate from alcohol using physical methods, while chemical or biological treatments are highly inefficient. For this reason, wastewater with a low alcohol concentration is primarily treated by diluting it with a large amount of clean water before its discharge.

    The Korea Institute of Science and Technology (KIST, President Seok-Jin Yoon) has announced that a research team led by Dr. Sang Hoon Kim and Dr. Gun-hee Moon of Extreme Materials Research Center developed a photocatalyst that can completely decompose a trace amount of alcohol in water within a short duration by adding a very trace amount of copper to iron oxide, which is used as a catalyst during the advanced oxidation process.

    The research team employed Fenton oxidation that uses oxidizing agents and catalysts during the advanced oxidation process for water treatment. Usually alcohols were used as reagents to verify radical production during Fenton oxidation in other advanced oxidation process (AOP) studies, they were the target for removal from semiconductor wastewater in this research.

    This water treatment technology is expected to dramatically reduce the cost and water resources invested into the treatment of semiconductor wastewater. In the past, clean water with a volume 10 times higher than that of the wastewater under treatment was required for dilution of the wastewater in order to reduce the alcohol concentration of 10 ppm in the wastewater to less than 1 ppm.

    If the photocatalyst developed by the KIST is used for water treatment, water resources can be saved. The research team applied the photocatalyst to wastewater from a semiconductor factory to prove that alcohol decomposition levels similar to those observed in the laboratory could be achieved in industrial practice.

    “As large-scale semiconductor production lines are established, we expect that there will be a rapid increase in the demand for the treatment of semiconductor wastewater,” said Dr. Kim. “The results of our research will provide a solution to effectively treat semiconductor wastewater using less resources and at a lower cost,” he added.

     

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    KIST was established in 1966 as the first government-funded research institute in Korea to establish a national development strategy based on science and technology and disseminate various industrial technologies to promote the development of major industries. KIST is now elevating the status of Korean science and technology through the pursuit of world-leading innovative research and development. For more information, please visit KIST’s website at https://eng.kist.re.kr/

    The research was funded by the Korea Materials Research Center of the Korean Ministry of Science and ICT (Minister Jong-Ho Lee), the Environmental Technology Development Project of the Korean Ministry of Environment and basic projects of the Korea Institute of Science and Technology. Related research papers are published in the Chemical Engineering Journal, a reputable academic journal in the chemical engineering and environmental fields.

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  • ETRI Unveils an XR based Metaverse Platform for Multi-user Collaborations

    ETRI Unveils an XR based Metaverse Platform for Multi-user Collaborations

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    Newswise — ETRI researchers have developed a metaverse platform that allows for freely collaborating among multi users via various means of communications online and offline. By overcoming existing technical challenges, it is expected to be of great help in the creation of various new services and its commercialization via realization of a practical metaverse.

    Electronics and Telecommunications Research Institute (ETRI) announced that it has succeeded in developing the world’s best XR collaboration platform technology that allows multiple remote participants to interact with each other in order to perform various tasks in an extended reality (XR) metaverse space.

    With existing technology, real-time collaboration of about 5 people is possible, but the research team has developed a technology that supports user-to-user interaction and remote collaboration in real time through data synchronization for up to 11 participants. It has doubled the capacity compared to other similar metaverse platforms.

    The XR metaverse platform developed by ETRI is a software technology that supports various interactions between users through ▲ building and expanding the XR space ▲ high-precision location recognition (VPS) of large-scale participants by 3D coordinate recognition in the XR space ▲ individual user’s hand-gesture recognition ▲ real-time synchronization of user-shared data in the metaverse space.

    By using this platform, it is possible to implement the extended reality-based metaverse space with the world’s best performance. The research team also acquired technology to align and expand the XR space in real time by adding real-time map-learning technology for mobile devices and XR glasses. The accuracy of creating the virtual space is quite precise, being only 2.85 cm, in terms of difference error between the virtually-created space and the real space.

    ETRI has optimized the platform so that movements between users are synchronized within 0.1 seconds in latency. It was also adjusted so that the computation speed of the collaboration platform could remain steady even if the number of participants is increased. Delivering a compelling experience via a minimum delay of network connection environment is considered an essential part of metaverse implementation.

    It recognizes the user’s hand gestures quickly and precisely. This is thanks to the use of a single-layer deep learning inference technique. In general, the amount of data to be processed and the motion recognition time increases as the number of users increases. The ETRI’s XR metaverse platform achieved the world’s best performance by recognizing multi hand gestures in 0.01 seconds and maintaining the collaborative operation speed between users at 0.1 seconds. Synchronization speed between multi-participating users was verified through ETRI’s own 5G MEC testbed built for this purpose.

    The research team’s XR metaverse platform enabled collaboration and communication across visual, audio, and tactile senses, which is a green light for the spread of Korea’s own-brand of XR based metaverse technology.

    In particular, this technology was applied to a science-class education scenario for elementary school students in Gyeongnam in Korea in December 2021, and its practicality was verified through a remote education pilot service via face/non-face channels. In addition, the research team plans to further enhance the applicability by additional demonstrating the working system for 20 students at another public elementary school in Daejeon, Korea in October this year.

    “We will try to promote the commercialization of ETRI’s metaverse technology in various fields such as remote collaboration based education, manufacturing, office, and home by utilizing the world’s best XR based metaverse collaboration platform”, Dr. Son Wook-ho of ETRI’s CG/Vision Lab.

    In the future, ETRI will make efforts to develop the industrial ecosystem of metaverse by acquiring core metaverse technologies through establishing international standards related to metaverse. In addition, further acquirement of advanced technologies will help to build the ultimate metaverses by XR metaverse platform’s application services.

     

     

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    This achievement accrues to the research project of “5G based VR/AR device core technology development” by the Ministry of Science and ICT in Korea.

     

    About Electronics and Telecommunications Research Institute (ETRI)

    ETRI is a non-profit government-funded research institute. Since its foundation in 1976, ETRI, a global ICT research institute, has been making its immense effort to provide Korea a remarkable growth in the field of ICT industry. ETRI delivers Korea as one of the top ICT nations in the World, by unceasingly developing world’s first and best technologies.

    This technology was developed with the assistance of the Ministry of Science and ICT.

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  • New machine-learning technique for classifying key immune cells has implications for a suite of diseases

    New machine-learning technique for classifying key immune cells has implications for a suite of diseases

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    Newswise — Eesearchers from Trinity College Dublin have developed a new, machine learning-based technique to accurately classify the state of macrophages, which are key immune cells. Classifying macrophages is important because they can modify their behaviour and act as pro- or anti-inflammatory agents in the immune response. As a result, the work has a suite of implications for research and has the potential to one day make major societal impact. 

    For example, this new approach could be of use to drug designers looking to create therapies targeting diseases and auto-immune conditions such as diabetes, cancer and rheumatoid arthritis – all of which are impacted by cellular metabolism and macrophage function. 

    Because classifying macrophages allows scientists to directly distinguish between macrophage states – based only on their metabolic response under certain conditions – this new information could be used as a diagnosis tool, or to highlight the role of a particular cell type in a disease environment. 

    The landmark research, which used human macrophages in experiments, was led by Michael Monaghan, Associate Professor in Biomedical Engineering at Trinity. The work brought together biomedical engineers, computer scientists and immunologists and has just been published in leading journal eLife. Professor Monaghan comments: 

    “Currently, there are no other methods that employ artificial intelligence-based, machine learning approaches to macrophage classification. A number of different techniques are currently used to classify macrophages, but all of these have significant drawbacks. 

    “Our method uses a 2-photon fluorescence lifetime imaging microscope (2P-FLIM), which is unique to Trinity and to Ireland. 2P-FLIM does not require sample pre-treatment, can be used to follow changes in metabolism non-invasively and in real-time – which opens the door to tracking disease progression and/or physiological response to therapies — and it also requires a lower number of cells compared with conventional techniques.”

    Nuno Neto, PhD Candidate in the School of Engineering, added: 

    “It is becoming increasingly clear that to solve many of society’s greatest problems, we need to take multi-disciplinary approaches to harness the expertise of people working in different fields. 

    “Trinity is rightly known as a leader in immunometabolism research, with many of our scientists focusing on how it regulates immune cell response, and how immune cell metabolism is impacted in diseases. This study benefits from that expertise, but also bridges the use of advanced computer science approaches and utilises an advanced microscope from the Biomedical Engineering Department with a regime never reported previously. It thus serves as a prime example of inter-departmental collaboration in a multidisciplinary field.”

    Nuno Neto’s Doctoral Studies are supported by a Trinity College Dublin Provost’s PhD Award and Professor Monaghan is a Funded Investigator in the Science Foundation Ireland (SFI) Centres AMBER and CÚRAM. Trinity’s FLIM Core Unit directed by Professor Monaghan was established using an SFI Infrastructure Programme: Category D Opportunistic Funds Call. 

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    Trinity College Dublin

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  • Demonstration of Eco-friendly Hydrogen Combustor to Achieve Carbon Neutrality

    Demonstration of Eco-friendly Hydrogen Combustor to Achieve Carbon Neutrality

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    Newswise — An eco-friendly hydrogen combustor for domestic gas turbine that reduces carbon dioxide emissions has been developed and will be undergoing field test.

    The Korea Institute of Machinery and Materials (President Sang Jin Park, hereafter referred to as the KIMM), an institute under the jurisdiction of the Ministry of Science and ICT announced that it has developed a hydrogen co-firing combustor for gas turbines used in power generation. This is the first time that such technology has been developed in South Korea, and KIMM has plans to perform a demonstration of its application to power plants.

    Since July 2020, the research team led by Dr. Minkuk Kim, head of the Department of Zero-carbon Fuel and Power Generation at the KIMM Institute of Carbon Neutral Energy Machinery, has been developing an eco-friendly combustor for domestic gas turbines with 30% hydrogen co-firing, in collaboration with 13 industrial, academic, and research partners. A project for field demonstration will be started in 2023 with Korea East-West Power Company and Doosan Enerbility.

    Hydrogen is highly reactive fuel so there is a risk of high temperatures and flashback. In order to prevent such risks, KIMM improved a fuel injection method, including fuel split, staging and modifying fuel holes. These were applied to the heavy duty gas turbine developed by Doosan Enerbility. As a result, it was possible that NOx and combustion instability were suppressed to the same level of the original LNG gas turbine while burning a mixture of 30% hydrogen fuel.

    In the past, many efforts were made to promote the development of hydrogen co-firing combustors, but performance verification was difficult because there were no proper combustion test facilities in South Korea. So the combustor developed by KIMM was transferred to the German Aerospace Center (DLR) during the development process and successfully passed combustion tests in a high-pressure environment. These conditions mimic the actual operating conditions of the gas turbine, and its performance was verified accordingly. The development of hydrogen co-firing technology by domestic research institutes and its application to domestic gas turbines is a meaningful moment on the road to carbon neutrality in South Korea.

    When gas turbines use fuel blended with 30% hydrogen, CO2 emissions can be reduced by 10.4% compared to 100% LNG power generation. KIMM plans to increase the percentage of hydrogen contents in fuel over 50% thereby 21.4% reduction of CO2 by 2024. In addition, the team is a focusing its research efforts with the goal of developing a 100% carbon-free hydrogen combustion technology by 2030.

    KIMM also held a briefing on the development of a 300MW class gas turbine hydrogen co-firing combustor at the main office in Daejeon on October 12th. During this meeting, KIMM shared the details of their work on the core technology of modifying the hydrogen combustor. They also shared the results from Doosan Enerbility’s high-pressure combustion test results and announced Korea East-West Power Company’s Korea Institute of Future Convergence Technology’s plans to conduct power plant demonstrations of the hydrogen gas turbine.

    At the briefing session, KIMM President Sang Jin Park stated, “In order to transition to an eco-friendly and carbon-free energy society, it is essential to develop hydrogen fuel conversion technology for medium and large-sized gas turbines and to conduct demonstrations at power plants. Currently, developments of combustion and turbine system are in their final stages. A decision of turbine manufacturers Doosan Enerbility and Korea East-West Power Company to test the new engine’s performance has made it possible to secure domestic hydrogen turbine technology that much sooner.” He also emphasized, “In order for domestic technology to be commercialized in a timely manner without failing, the government’s interest and support in selecting a demonstration site are necessary. This is because such a process is otherwise impossible through the will of the private sector alone due to the nature of the power generation industry.”

    President Park added, “Unlike LNG heavy duty gas turbine in South Korea, which began as a fast follower, this hydrogen combustor is technologically equivalent to those from leading companies. If we can accelerate its commercialization through demonstration projects will help pave the way for South Korea’s next-generation new growth industry.”

     

     

     

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    The Korea Institute of Machinery and Materials (KIMM) is a non-profit government-funded research institute under the Ministry of Science and ICT. Since its foundation in 1976, KIMM is contributing to economic growth of the nation by performing R&D on key technologies in machinery and materials, conducting reliability test evaluation, and commercializing the developed products and technologies.

     

    These research efforts were carried out with the support of the Ministry of Trade, Industry and Energy’s project for the “Development of a 50% Eco-Friendly High Efficiency Gas Turbine Combustor for 300MWe-class Power Generation” (2020-2024, KETEP 20206710100030).

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  • Electrical Engineer and First Mexican-Born Woman to Travel in Space Featured Speaker at CFES Global Conference

    Electrical Engineer and First Mexican-Born Woman to Travel in Space Featured Speaker at CFES Global Conference

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    Newswise — Katya Echazarreta, a 27-year-old electrical engineer who became the first Mexican-born woman to travel to space, will serve as keynote speaker at the 31st annual CFES Brilliant Pathways Global Conference on Nov. 7-8 at the Sagamore Resort in Lake George, NY.

    Since being selected over 7,000 applicants to fly on the Blue Origin NS-21 spaceflight mission as a Space for Humanity Ambassador, Echazarreta has become an inspiration to millions of young people around the world. She has been featured on network television, in aviation and science publications and most recently graced the October cover of Vogue México as a “Voice of Change.”

    The NASA engineer and science communicator, who moved to the U.S. from Guadalajara, Mexico at the age of seven, will share her story with over 3000 virtual participants and 300 on-site attendees, including K-16 educators, community and corporate leaders at the “New Beginnings” conference on Monday evening, Nov. 7.

    “We are honored to have Katya Echazarreta speaking at our global conference,” said CFES President Rick Dalton. “Her inspirational journey and message of perseverance align with the focus of our conference and help inspire our children to become college and career ready.”

    Echazarreta, current co-host of Netflix’s YouTube series, Netflix IRL, overcame steep odds to reach her goals. Her educational journey “was not a straight shot,” she says, having enrolled in Community College (San Diego City College) to study electrical engineering despite many setbacks. She eventually transferred to UCLA and earned a B.S. in electrical engineering and worked as an intern at NASA, where she transitioned to a full-time engineer and worked on five missions, including Perseverance and Europa Clipper. She is currently pursuing a master’s degree in electrical engineering from John Hopkins University.

    “Throughout my journey in engineering school, I was very aware about the lack of women in the field,” says Echazarreta. “This was difficult for me because I did not have many people I could ask for advice regarding several topics such as the implicit biases we face on a daily basis. I’ve been given the opportunity to help guide those girls and women who, like me, are looking for someone with experience in what they are going through.  I hope to help women be better prepared for their experience in STEM.”

    Echazarreta will be joined at the conference by fellow keynote speakers Dr. Calvin Mackie, President and Founder of STEM NOLA, and Ray McNulty, President of Successful Practices Network (SPN). Other experts will share innovative strategies for student and workforce development and provide leaders in education, business, community, and philanthropy with the skills, information, and support they need to promote student success in a new college and career readiness paradigm.

    Mackie is an award-winning mentor, inventor, author, former engineering professor, renowned speaker, and entrepreneur. In 2013, he founded STEM NOLA, an organization created to expose, inspire, and engage communities in the opportunities in Science, Technology, Engineering and Mathematics (STEM).

    McNulty, who also serves as president of the National Dropout Prevention Center (NDPC), was dean of the School of Education at Southern New Hampshire University. McNulty has been a teacher, principal, and superintendent and served as Vermont’s Commissioner of Education from 2001-2203. 

    Please register here to register for the New Beginnings conference.

    CFES Brilliant Pathways is a global nonprofit that has helped over 100,000 students become college and career ready through research-driven methods and best practices, sending more than 90 percent of its students to higher education since 1991. 

     

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  • The Idea of Democracy Is Simple. Its Execution Is Complicated.

    The Idea of Democracy Is Simple. Its Execution Is Complicated.

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    In 2016, 137.5 million Americans voted in the presidential election. For some, casting their ballot wasn’t easy. Six years later, voters are the most polarized they’ve been in decades.

    How do we sustain a republic? Restore faith in the election process, says Gretchen Macht. Macht is an assistant professor of mechanical, industrial and systems engineering at the University of Rhode Island and the founding director of URI VOTES.

    Established in 2017 with the aim of using data and technological advances to help shorten voter wait times and improve voting procedures, URI VOTES takes an engineer’s approach to election science. Macht and her team of graduate and undergraduate students study voting through various lenses: voting in person versus voting by mail, how the accessibility of polling places affects persons with disabilities, strategies to avoid COVID infection in polling places, election law, allocating election resources, and the arrangement of polling place facilities, among them.

    Simply put, URI VOTES studies how a system – an election – functions and how to improve it.

    According to Macht, “People will believe the outcome of an election under two conditions: one, their person won; two, their voting experience was easy.”

    She notes some of the issues in the past presidential election were related to the length of time it took election administrators to count mail ballots. “When the counts didn’t meet voters’ expectations, they thought things were wrong with the election.”

    Recently named an election expert by the Board of MIT’s Elections Lab, Macht says, “My elections work is a calling. It is inspiring to watch democracy at work, and now it’s become a question of how can I continue to make this happen? How can I continue to help?”

     

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    University of Rhode Island

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  • The world’s first successful integrated measurement of exhaust and non-exhaust particulate matter (PM) emissions of various vehicle types

    The world’s first successful integrated measurement of exhaust and non-exhaust particulate matter (PM) emissions of various vehicle types

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    Newswise — The world’s first attempt to measure particulate matter (PM) emissions generated by not only engine combustion but wear-down of brake and tire is complete.

    The Korea Institute of Machinery and Materials (President Sang Jin Park, hereinafter referred to as KIMM), an institute under the jurisdiction of the Ministry of Science and ICT, announced that it has succeeded in integrated experimental measurement of exhaust (engine combustion) and non-exhaust (tire and brake wear, road wear, and re-suspended road dust) emissions from the internal combustion engine and electric vehicles.

    Until now, research on measuring the amount of non-exhaust PM emissions or identifying the phenomenon has rarely conducted except for brake wear PM emissions. When estimating total PM emissions, superficial methods have been used using emission factors correspondent to each emission source listed in the national emission inventory.

    It is the world’s first attempt by KIMM to measure the total PM emissions according to vehicle type and sources through integrated experimental measurement. The result of this study will be used to identify the cause of the non-exhaust emissions from internal combustion engine and electric vehicles and to develop guidelines for government policies to mitigate traffic-related PM emissions.

    Seokhwan Lee and his research team in the Department of Mobility Power Research at the KIMM Institute of Carbon Neutral Energy Machinery conducted an integrated experiment and measurement of PM emissions according to the powertrain type for compact SUVs using an in-house developed tire wear simulator, brake wear simulator, and a mobile road dust measurement vehicle. The results for gasoline, diesel, and electric vehicles were as follows. PM10 emissions were 42.3 mg/km for gasoline vehicles, 43.2 mg/km for diesel vehicles, and 47.7 mg/km for electric vehicles. PM2.5 emissions were 14.5 mg/km for gasoline vehicles, 14.1 mg/km for diesel vehicles, and 13.9 mg/km for electric vehicles.

    In case of the latest internal combustion engine vehicles, the current technological advancement of engine combustion and after-treatment devices have evolved considerably to reduce particulate matter emission, as a result, the share of non-exhaust PM in the total PM emissions has been increased to more than 90%.

    According to Dr. Lee, “Electric vehicles do not emit toxic exhaust gases and greenhouse gases at all. Nevertheless, our results show that they do emit a significant amount of non-exhaust emissions.” He added, “To improve urban air quality, the government should parallely implement various policies to mitigate non-exhaust emissions, rather than only focusing uptake of the electric vehicles.”

     

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    The Korea Institute of Machinery and Materials (KIMM) is a non-profit government-funded research institute under the Ministry of Science and ICT. Since its foundation in 1976, KIMM is contributing to economic growth of the nation by performing R&D on key technologies in machinery and materials, conducting reliability test evaluation, and commercializing the developed products and technologies.

    The research was conducted with the support from a project under the Ministry of Science and ICT, titled “Investigation of Physicochemical Characteristics of Traffic-related Particulate Matters”. The result of this study was published in the SCI journal Science of the Total Environment.

    According to Dr. Lee, “Electric vehicles do not emit toxic exhaust gases and greenhouse gases at all. Nevertheless, our results show that they do emit a significant amount of non-exhaust emissions.” He added, “To improve urban air quality, the government should parallely implement various policies to mitigate non-exhaust emissions, rather than only focusing uptake of the electric vehicles.”

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    National Research Council of Science and Technology

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  • Green Ideas Celebrates 20 Years of Building Science Success

    Green Ideas Celebrates 20 Years of Building Science Success

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    Green Ideas Building Science Consultants has provided industry-leading services to develop sustainable, high-performance building projects for two decades.

    Press Release


    Oct 6, 2022

    October 2022 marks Green Ideas Building Science Consultants‘ 20th year of helping businesses, universities and Architecture-Engineering-Construction professionals create resource-efficient projects with minimal environmental impact and maximum return on investment.

    Charlie Popeck, President of Green Ideas and one of the first Leadership in Energy and Environmental Design (LEED) Accredited Professionals in the United States, founded the Arizona Chapter of the U.S. Green Building Council (USGBC) in 2002, which was the second-ever chapter of the national non-profit organization. Charlie has personally trained more than 40,000 industry professionals to pass the LEED Professional Accreditation exams over the last 20 years.

    After two decades of performing building science consultation, the company has completed over 150 high-performance building projects, including 110 LEED-certified projects throughout the country. From the iconic Phoenix Convention Center in Arizona (LEED Silver) to the BASF Near-Zero Energy Home in New Jersey (LEED Platinum), Green Ideas maintains its business approach to high-performance building design, construction, and operations. Other notable projects include the Intel Ocotillo Campus, one of the most complicated manufacturing facilities on earth, and the General Dynamics Roosevelt and Hayden facilities, the largest LEED-certified industrial projects in the U.S. at the time of its certification. A complete list of Green Ideas’ projects can be found here.

    Since its inception in 2002, Green Ideas has worked closely with many building owners and developers to save massive amounts of energy and water. Upon reaching the company’s 20th-year milestone, Charlie stated, “We’ve had some challenges transforming the commercial real estate market over the years but I’m proud of the energy and water savings we have achieved, as well as creating healthy indoor environments for building occupants…all while saving clients operating and maintenance costs.”

    About Green Ideas® Building Science Consultants
    Green Ideas is a full-service building science consulting firm offering 3D energy and daylight modeling, building commissioning, and world-class LEED certification services. The firm is designated as a LEED Proven Provider by Green Business Certification Inc. and is a certified B Corporation. Its clients are building owners, architects, engineers, contractors, real estate developers, facility managers, and corporate entities wishing to establish business advantages through high-performance building practices. With a vision as bold as the results they achieve, Green Ideas is dedicated to transforming the market by promoting building science through a “triple bottom line” approach to business operations. Follow Green Ideas on Linkedin for more up-to-date information and latest projects.

    Source: Green Ideas

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  • U of I, UC Santa Barbara and Dow scientists crack upcycling plastics to reduce greenhouse gas emissions, advancing a recent Science study

    U of I, UC Santa Barbara and Dow scientists crack upcycling plastics to reduce greenhouse gas emissions, advancing a recent Science study

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    Press Release


    Oct 5, 2022

    Scientists from the University of Illinois Urbana-ChampaignUniversity of California, Santa Barbara and Dow developed a breakthrough process to transform the most widely produced plastic — polyethylene (PE) — into the second-most widely produced plastic, polypropylene (PP), which will significantly reduce greenhouse gas emissions (GHG).

    The new study published in the Journal of the American Chemical Society announces a series of coupled catalytic reactions that transform PE, which is #2 and #4 plastic that make up 29% of the world’s plastic consumption, into the building block propylene that is the key ingredient to produce PP, also known as #5 plastic that accounts for close to 25% of the world’s plastic consumption.

    This study establishes a proof-of-concept for upcycling PE plastic with more than 95% selectivity into propylene. The researchers have built a reactor that creates a continuous flow of propylene that can be converted into PP easily using current technology — making this discovery scalable and rapidly implementable. 

    Why this matters: Preliminary analysis suggests that if just 20% of the world’s PE could be recovered and converted via this route, it could represent a potential savings of GHG emissions comparable to taking 3 million cars off the road.

    “If we are to upcycle a significant fraction of the over 100 million tons of plastic waste we generate each year, we need solutions that are highly scalable,” Damien Guironnet, Professor of Chemical and Biomolecular Engineering, said. “Our team demonstrated the chemistry in a flow reactor we developed to produce propylene highly selectively and continuously. This is a key advance to address the immense volume of the problem that we are facing.” 

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    Source: University of Illinois

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