A research group at KAIST successfully produced seven natural rainbow colorants, including carotenoids and violacein derivatives, using engineered Escherichia coli strains. The strategies developed can be applied to the efficient production of other industrially important natural products.
Researchers at the University of Bristol developed the concept of 'evotype' to capture the evolutionary potential of biosystems. The evotype framework provides a means for bioengineers to control evolution by adjusting variation, function, and selection.
Digital twin technology has the potential to revolutionize healthcare and aerospace by enabling predictive and precision medicine, and enhancing decision-making. However, current digital twins face challenges in scaling, requiring significant investment to overcome technical barriers and improve model accuracy.
A new report recommends implementing the 'Safe System' approach to reduce road deaths and injuries, which has been successful in other countries. The approach prioritizes road design and engineering to minimize mistakes and reduce crash forces.
Distinguished Professor Sang Yup Lee at KAIST was elected as a foreign member of the Royal Society, one of the world's most prestigious national science academies. He is recognized for his pioneering work in systems metabolic engineering and developing micro-organisms for producing fuels, chemicals, and natural compounds.
A machine learning algorithm predicts the life expectancy of critical components in extreme environments. The model is trained on data from electrochemical capacitors operated at temperatures up to 200°C, enabling safe and resilient operations in applications like downhole drilling equipment.
Researchers created a soft mechanical metamaterial that can compute digital logic computations using binary inputs and outputs. The material thinks by reconfiguring its conductive polymer network in response to mechanical force and electrical signals.
Researchers from the University of Calabria developed a predictive control scheme that can identify and protect against replay attacks in distributed networks. The approach uses a 'receding horizon' model to predict future system behavior and detect unexpected events, allowing for swift protection against malicious actors.
A study by University of Virginia researchers reveals that people systematically default to additive strategies, overlooking subtractive ideas. This habit can lead to missed opportunities to improve the world through subtraction, with implications across various contexts, including engineering and policy.
Researchers are developing AI-controlled exoskeletons and prosthetic legs that can think and make control decisions on their own. The system combines computer vision and deep-learning AI to mimic human walking by adjusting to surroundings.
Researchers found a strong correlation between stream conditions and human demographics, particularly along racial lines. Stream quality is linked to mortality rates and cancer rates, highlighting the need for environmental justice. Understanding how people interact with nature is crucial to drawing conclusions about health outcomes.
Researchers at USC Viterbi School of Engineering used living bacteria to create new materials with superior mechanical properties. These materials exhibit exceptional strength, fracture resistance, and energy dissipation, making them suitable for aerospace panels, vehicle frames, body armor, and defense applications.
A team of US engineers has received a $5.8 million NASA grant to create computational design tools for air taxi designs. The project aims to develop safe, quiet, and affordable eVTOL aircraft using advanced design optimization algorithms.
A new system developed by the University of Córdoba's research groups can predict levels of amygdalin in almonds and classify sweet and bitter ones on an industrial scale. The portable equipment uses Near Infrared Spectroscopy (NIRS) technology to analyze nuts quickly and non-invasively.
Researchers at Lehigh University and Iowa State University have developed a hybrid Cuckoo Search algorithm that accelerates computational modeling of complex alloys by reducing search time up to 13,000-fold. This breakthrough enables the creation of physically realizable systems that can be directly compared against experimental samples.
A new center at Clemson University will support research on autonomy-enabled ground vehicles, digital engineering, and virtual prototyping. The project aims to reduce timelines for innovation in the autonomous space and fuel next-wave mobility technologies.
Researchers are developing a flexible simulation-based outer-loop application tool for resilient power grid planning and optimization. The tool leverages scalable parallel processing, adaptive computing budget allocation, and scientific machine learning to predict and respond to disturbances.
A new system called GLINDA allows researchers to capture the unique sound signature of a tornado, improving understanding of its behavior and potential impact on false alarm rates. By measuring infrasound at close range, scientists can gain valuable insights into tornado production and reduce the number of deaths caused by these deadly...
The study uses data-driven techniques and machine-learning architectures to improve the accuracy and efficiency of modeling processes. The researchers found that convolutional neural networks (CNN) and physics-informed neural networks (PINN) have potential in optimizing modeling processes for specific aspects of the solution process.
Researchers at George Mason University are reviewing the Positive Train Control Safety Plan to ensure its alignment with federal regulations. The study aims to confirm the plan's effectiveness in preventing train accidents such as collisions and derailments.
Researchers successfully degrade PET plastic using a two-enzyme system and engineered chimeric enzyme that works synergistically to break down the plastic pollutant. The discovery could lead to new methods for plastics depolymerization, offering an alternative to traditional recycling methods.
Researchers aim to understand online illicit sales of drugs and counterfeit pharmaceuticals by studying supply chains and payment systems. They will use rich corporate datasets to develop new models of illicit supply chains and suggest disruption strategies.
Researchers at UQ and Griffith University use quantum superposition of order to successfully transmit information through two noisy channels. The technique, which can nullify the effect of one noisy medium on another, has potential applications in satellite communication and secret sharing.
George Mason University Professor KuoChu Chang is supporting Intelligent Fusion Technology in developing a Cyber Resilience Integrated Security Inspection System (CRISIS). The system utilizes machine-learning algorithms and digital twin technology to enhance cybersecurity.
A research team led by Thomas LaToza aims to create a community infrastructure for conducting online software engineering user studies. The proposed platform will increase the quality of software engineering tools and techniques, enhancing productivity and effectiveness among software engineers.
Researchers at the University of Missouri studied drivers' responses to collision avoidance systems using open road testing. They identified four behavioral categories: active gaze, self-conscious gaze, attentive gaze, and ignored gaze, which can affect system effectiveness.
The new research system records, reconstructs, compresses, and delivers high-quality immersive light field videos with a lightweight and efficient approach. The team overcomes challenges to create a realistic virtual environment with panoramic views and natural lighting effects.
Researchers at the University of Freiburg are developing a new storage concept that balances power density with affordability, recyclability and ease of use. The 'Plug-In' project aims to create a scalable and intelligent battery system for decentralized electrification in rural areas.
A quantum physicist at the University of Sydney has invented a new type of error-correcting code for quantum computers that will free up more hardware to do useful calculations. This approach allows companies like Google and IBM to design better quantum microchips, enabling the development of large-scale quantum technology.
Erick C. Jones, a renowned researcher at the University of Texas at Arlington, has been recognized as a Fellow of the Institute of Industrial and Systems Engineers (IISE). He is internationally recognized for his pioneering work on radio-frequency identification technologies, Lean Six Sigma Quality Management, and autonomous inventory ...
A research team has developed a microbial strain capable of producing succinic acid with the highest production efficiency to date. The strain, isolated from a Korean cow's rumen, was engineered through systems metabolic engineering and enzyme engineering to produce 134 g per liter of succinic acid.
Pradeep Sharma, a UH mechanical engineer, received a Guggenheim Fellowship to investigate why some people can instantly reproduce music while others cannot. He aims to find a physics explanation for this phenomenon, considering the brain and physical characteristics of the ears.
Researchers at the University of Texas Medical Branch have created a reverse genetic system for SARS coronavirus 2, allowing for quick development and evaluation of vaccines and diagnosis of infected patients. The system enables high-throughput testing in 12 hours, significantly reducing turnaround time compared to conventional methods.
University of Pittsburgh researchers develop microparticles that can trick the body into accepting transplanted tissue as its own, avoiding the need for lifelong immunosuppression. The treatment logistics are simpler and more efficient than current cell-based therapy methods.
A new CRISPR-Cas12b system enables efficient plant genome engineering with gene editing, activation and repression capabilities. The system outperforms existing CRISPR tools, offering improved efficiency and versatility for plant breeding and disease resistance.
Researchers at the University of Arizona are working with NASA to develop new methods for harvesting water from the lunar surface using lasers. The mission aims to create a system that can efficiently extract water and nutrients from the lunar environment, enabling sustainable food production in space. With the help of tiny satellites ...
Using Euclid's algorithm as an example, Dr. Lamport showed how a precise mathematical formula can be used to specify an algorithm, making it more efficient and easier to debug. By using math instead of code, developers can reduce the size of their programs by up to ten times and make debugging easier.
Researchers from Duke University have conducted field trials of their off-grid sanitation system, finding that critical components lasted longer than expected. However, the system still requires improvement in nutrient removal processes and addressing cultural practices to ensure sustainability.
Developed a patch-based health diagnosis sensor system that collects various health information in real-time by monitoring biosignals and certain movements. The sensor's stable structure mimics snake motions, spider webs, and paper craft, making it durable despite intense body movements.
Researchers at Rensselaer Polytechnic Institute developed an algorithm to analyze biometric data from smart devices and recommend personalized sleep and light schedules. The approach has been shown to estimate circadian rhythm variation with high accuracy, potentially benefiting travelers and service members.
Researchers successfully transmitted a signal over 520 km at 200 Gbps using commercial cables and stimulated Raman scattering effect, increasing signal-to-noise ratio. The system uses remote optically pumped amplifiers to amplify the signal along the link without electrical power sources.
The 2019 Queen Elizabeth Prize for Engineering is awarded to four US engineers who created the first global satellite-based positioning system, GPS. The award celebrates the global benefit of engineering innovation on humanity.
Levis & Elder are developing conceptual models to investigate the degree of deterrence and explore the impact of mutual understanding among actors. They aim to refine experimental design and analyze sensitivity to model inputs in computational experiments.
Restoring native vegetation could cut air pollution by an average of 27 percent, according to a new study published in Environmental Science & Technology. The research found that nature-based solutions might be cheaper options for cleaning the air near industrial sites and other pollution sources.
The University of Virginia has launched a national research center to ensure the security of connected electronic devices. The Center for Hardware and Embedded Systems Security and Trust (CHEST) is tackling key challenges in designing, protecting, and resiliently operating electronic systems.
A novel player trait model has been developed to evaluate individual gaming preferences, enabling the creation of tailored experiences. The five-trait model assesses social, aesthetic, challenge, goal, and narrative elements to provide personalized game recommendations.
A VCU-led team, including professors from several institutions and two companies, is developing an open network for molecular sciences data using AI. The goal is to create a platform for combining and analyzing data from academia, industry, and government, enabling scientists to make predictions and designs with more accuracy.
Engineers have designed a robotic system to automate the disassembly of component parts, a key task in remanufacturing. The new process can reduce energy and raw materials usage by up to 90% and CO2 emissions by over 80%.
A new study by Ben-Gurion University found that most routers are vulnerable to cross-router data leaks through malicious attacks on guest networks. The researchers identified different levels of cross-router covert channels that can be combined and exploited for malicious purposes.
A CSU team is designing a self-reliant, local, resilient electric system to withstand Category 5 hurricanes. The research combines sustainable grids, systems engineering and behavioral psychology to minimize power losses.
Researchers at Tel Aviv University and the Technion Institute of Technology discovered critical vulnerabilities in the Siemens S7 Simatic programmable logic controller. They successfully reverse-engineered the proprietary cryptographic protocol and gained control of the PLC's operations, demonstrating how a sophisticated attacker can a...
A new framework for software management was recognized for its potential impact on computation-based science, enabling the Ohio Supercomputer Center to efficiently install and test applications for a wide range of users. The framework leverages automated tools and continuous integration to streamline the process.
A new Y-shaped synthetic consortium achieves 21 g/L butanol yield, exceeding theoretical value by 85%. The consortium's adaptability and stability enable efficient simultaneous utilization of mixed sugar ratios and aeration conditions.
A new paper proposes a simple yet powerful model to understand why some water suppliers turn off their supply at certain times, highlighting both benefits and drawbacks of intermittent systems. The model can help guide global efforts to meet UN's Sustainable Development Goals and its Human Right to Water.
A new platform has been developed that provides suppliers with a certain amount of choice, improving supply and demand matching for underutilized resources. The approach was found to perform better than existing methods, especially when there is limited information about the supplier's preferences.
Researchers at the University of Tokyo have created a material that can significantly extend battery life and increase capacity. The oxygen redox-layered oxide (Na2RuO3) material, when used in lithium-ion batteries, enables self-repair due to its stronger coulombic attraction force, reducing degradation from charge and discharge cycles.
Researchers have developed a system that allows living cells to perform analog-to-digital signal processing, enabling precise control over cellular responses. This breakthrough expands the toolkit for synthetic biologists, who can now use genetic circuitry to process complex signals and make informed decisions.
A Phase 1b clinical trial successfully induces immune tolerance to autoimmune targets in patients with multiple sclerosis and neuromyelitis optica. The treatment involves introducing peptide-loaded tolerogenic dendritic cells, which stimulate the production of IL-10 and promote immune tolerance.
Researchers have developed a new method to design systems with greater disaster resistance and resilience by incorporating negative probability. This method models correlated disruptions as independent impacts on virtual supporting stations, reducing complexity and enabling easier calculation of probabilities.
Motee's work recognizes a fundamental contribution to spatially distributed systems theory, showing that quadratically optimal state feedback controllers are sparse and spatially localized. His research aims to implement estimation and control design problems in a localized and distributed fashion for applications such as unmanned auto...