Articles tagged with Environmental Engineering
A novel contamination-detection method enables faster and safer T-cell therapy production, reducing the risk for patients and speeding up treatment. The method uses cutting-edge technology to identify harmful microorganisms within 24 hours.
A West Virginia University research team aims to remove human-made radio interference from cell phones, televisions and radar systems to improve astronomical signal detection. The project will develop new algorithms and hardware with potential applications beyond astronomy.
A team of researchers from Texas A&M University is developing a low-cost, safe, and controlled cancer treatment using programmable bacteria. The $20 million project aims to create an efficient bacterial therapeutic that can target cancer cells with high precision, reducing side effects and costs.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
The Acer i-Seed is an eco-friendly artificial seed that uses drones to monitor soil temperature. Made from biocompatible and compostable materials, it replicates the aerodynamics of natural Acer seeds and becomes luminescent in response to temperature changes.
Plants capture more carbon on weekends when industrial production decreases and fewer people commute, finding similar patterns during COVID-19 lockdowns. This improvement in air quality could enhance natural carbon sequestration and mitigate climate change.
Researchers at Texas A&M University have developed a miniature, injectable glucose biosensor and wearable device that enables user-friendly, minimally-invasive continuous glucose monitoring. The device addresses challenges associated with existing CGMs, including size and skin tone compatibility.
A research team employed deep learning techniques to scrutinize dam operation patterns, achieving remarkable accuracy in forecasting dam water levels. The study demonstrates the potential of an artificial intelligence model trained on extensive big data to surpass conventional physical models.
A team of researchers from POSTECH has introduced a tungsten oxide coating to protect the membrane-electrode assembly in hydrogen fuel cells. The coating prevents electrochemical reactions that lead to catalyst degradation, resulting in improved performance retention rates.
Researchers developed a new 3D inkjet printing system that works with a wider range of materials, including slower-curing materials. The system utilizes computer vision to automatically scan the print surface and adjust the amount of resin deposited in real time.
A novel system for slip prevention of unmanned rovers has been developed by researchers at Shibaura Institute of Technology. The system uses strain displacement data to detect the traveling state of the rover and prevent slipping incidents. It also detects environmental obstacles, such as rocks and stones.
A research team developed a multi-model projection system using the self-calibrating Effective Drought Index to predict drought and recommend cumulative precipitation for recovery. The required rainfall for drought recovery was estimated at 170 mm, 310 mm, and 440 mm for March, April, and May respectively.
Scientists at Pohang University of Science & Technology develop biopolymer-blended protective layer to stabilize zinc anodes in metal batteries. The film facilitates uniform nucleation of zinc, reducing the formation of twig-like crystals and improving battery longevity.
Researchers at UTSA have discovered a novel strategy to inhibit the spread and infection of Vibrio cholerae, the bacteria responsible for cholera. They identified a peptide-binding domain that can disrupt the virulence of V. cholerae, preventing intestinal colonization and biofilm formation.
Researchers at Gwangju Institute of Science and Technology developed metal-enhanced fluorescence probes for rapid and accurate detection of influenza viruses. The probes showed high sensitivity and specificity, detecting the virus even at low concentrations, with a remarkable accuracy of over 99%.
The study successfully enhances energy conversion efficiency by over twice that of conventional cells while reducing production costs by a factor of 3,000. This breakthrough could lead to widespread adoption in energy harvesting applications generating energy from waste heat.
Researchers found that green spaces alleviate extreme heat's negative impacts on human health, while densely packed buildings increase mortality risk. Urban design strategies incorporating different types of greenery are recommended to mitigate heatwave-associated mortality.
Researchers at Xi'an Jiaotong-Liverpool University have developed a sensitive and robust pH sensor that can detect pH variation in just a few microliters of samples. The new sensor uses novel materials and methods to overcome the current method's limitations, which are not sensitive enough or fragile for commercial-scale use.
Researchers have developed catalysts that combine iridium and ruthenium, preserving their excellent attributes and improving activity and stability. The study also explores the importance of carefully selecting candidate materials and retaining superior properties even after nanostructure formation.
Researchers at Osaka Metropolitan University have developed a new simulation method using AI to predict powder mixing with high accuracy and low computational costs. This breakthrough enables large-scale and long-duration powder mixing processes, set to enhance product quality and streamline production.
Researchers from the UMA developed an open-source platform called Open Twins to create more accessible and versatile digital twins. This platform enables the simulation of real-world assets based on virtual replicas, predicting future behaviors and detecting anomalies, leading to more efficient companies that make data-driven decisions.
Researchers at UC Riverside successfully engineered a plant to turn beet red in the presence of a banned pesticide, enabling an environmental sensor without damaging its native metabolism. This breakthrough opens up possibilities for detecting other toxic substances like drugs and birth control pills in water supply.
Researchers created a hydrogel mat with magnetic microparticles that mimic the forces of exercise. The team found that regularly exercising muscle cells resulted in longer, aligned fibers, and improved contraction capabilities.
Researchers have identified a new mechanism by which phages evade CRISPR-Cas immune systems in bacteria, revealing a potential approach to make gene editing safer and more efficient. This discovery could lead to the development of bespoke anti-CRISPRs to neutralize CRISPR-Cas systems and provide an alternative to antibiotics.
UBC Okanagan researchers have developed sensors that can detect erosion and breaches in protective coatings, reducing inspection time and error risk. The AI-enabled sensors can also distinguish individual layer erosion within multi-layer coatings, enabling proactive monitoring and addressing of equipment degradation.
Researchers at Nanjing University have developed a miniaturized FSO system achieving an astonishing 9.16 Gbps bandwidth over 1 km link using readily available commercial fiber transceiver modules. The system enables automatic tracking and precision acquisition, eliminating the need for optical amplification.
A new specimen collection system has been developed to enhance assisted reproductive technologies by providing a simple one-step method for selecting high-quality sperm for ICSI. The system, known as NovaSort, uses a barrier mesh to isolate mobile sperm without damaging their DNA.
U of I researchers have developed organic nanozymes that mimic the properties of natural enzymes, exhibiting peroxidase-like activities and detecting glyphosate with adequate accuracy. The OC nanozyme is quicker to produce, cost-effective, non-toxic, and environmentally friendly.
A research team at Pohang University of Science & Technology created a photomultiplication-type organic photodiode that recognizes colors without an electron receptor, improving stability and full-color capability in applications like biometric recognition technology and cameras.
The University of Missouri's Missouri Work Zone Safety Center of Excellence aims to reduce fatalities and serious injuries in highway work zones through research and outreach. The center will focus on integrating emerging technologies, data analysis, and countermeasures to address distracted driving and other safety concerns.
A coordinated network of space lasers could prevent collisions with manned and unmanned space assets by nudging debris off potential collision courses. The artificial intelligence-powered lasers can maneuver and work together to respond rapidly to debris of any size.
Researchers at Cornell University have developed a new method to purify rare earth elements using metal-loving microbes. The microbe selectively adsorbs and purifies these elements, eliminating the need for harsh chemicals.
Researchers at Nagoya University developed a niobium waveguide that enhances high-precision communications for Beyond 5G/6G networks. The waveguide's conductivity improves with cooling, reducing losses and increasing data transmission accuracy.
Scientists at the University of St Andrews have developed an electrically driven organic semiconductor laser, overcoming a decades-long challenge. This breakthrough has significant implications for various industries, including communication, medicine, and manufacturing.
A study of 288 skeletons and rock art reveals a surprising consistency in rates of violence over time, with an increase in lethal violence during the Formative Period. The absence of centralized political systems may have contributed to these violent tensions.
Researchers at the University of Illinois have identified a novel pathway to stabilize nanoscale precipitates in alloys through nonequilibrium processes. By stopping precipitate coarsening, they can create stable nanostructures with improved mechanical properties.
A study at Nagoya University reveals how FliG molecule controls bacterial motion, enabling faster and more efficient nanomachines. The findings could lead to compact motors with high energy conversion efficiency and instant direction changes.
Researchers developed a groundbreaking soft valve technology that integrates sensors and control valves into soft robots, eliminating the need for electric components. This innovation enables safe operation underwater or in environments with sparks risks, reducing weight burdens and costs.
A team of Korean researchers uses carbon capture and utilization technology to convert industrial CO2 into calcium formate and magnesium oxide, producing two commercially viable products. The process reduces global warming potential by 20% compared to traditional methods.
Researchers at Nagoya University have developed an enzyme that can convert methane into methanol at room temperature in water. This technology has the potential to reduce the carbon footprint of natural gas and could be used to convert other hydrocarbons, offering a low-energy and environmentally friendly solution.
A University of Texas at Arlington study estimates human destruction of natural floodplains on a global scale for the first time. The research found that between 1992 and 2019, the world lost 600,000 square kilometers of floodplains due to human disturbances.
Scientists are using AI to analyze pollen grains in sediments and air samples to understand past environmental change. The new system can classify over a thousand pollen grains in under an hour, providing insights into biodiversity and climate change.
A study published in Nature Geoscience found that blowing snow produces fine sea salt aerosols, increasing particle concentration and cloud formation in the central Arctic. These aerosols contribute to Arctic warming by trapping surface long-wave radiation, boosting temperatures.
A deep learning approach has unveiled a significant change in the characteristics of global daily precipitation for the first time. The research found that on more than 50% of all days, there was a clear deviation from natural variability in the daily precipitation pattern since 2015.
The study found that despite invasive strains, all yeast lineages belonged to the ethanol fermentation environment, keeping the industrial process stable. The researchers plan to investigate yeast population dynamics in more detail, including the impact of external agents like bacteria.
Scientists create a design that enables simultaneous presentation of photothermal, thermal conductive, and superhydrophobic properties, achieving record-high defrosting efficacy. The innovative assembly enhances de-icing and defrosting efficiency, reducing overall defrosting durations by 2-3 times.
Researchers discovered a unique optical signature in magnetic beads, which can be used to detect pathogens like Salmonella. This technique enables quick detection within less than an hour, potentially revolutionizing food and water testing.
A microscopic crack in platinum grew and then 'healed' itself by getting shorter after repetitive stretching, confirming Dr. Michael Demkowicz's 2013 prediction. The experiment used nanocrystalline metals with a small grain size, which allows for microstructural features to interact with cracks.
A study published in Science of the Total Environment found that biofiltration increased coho salmon hatchling survival by up to 87%, reducing mortality from stormwater runoff exposure. The method effectively removes contaminants, but implementation faces hurdles due to land requirements.
Researchers at the University of Manchester are enhancing bioprinting technology to create new skin, bone, and tissue for transplantation in space. The project aims to protect astronauts' health from diseases like osteoporosis caused by microgravity exposure.
A new framework by Concordia researchers shows that electrifying bus fleets can lead to significant reductions in greenhouse-gas emissions and maintenance costs. The study analyzed four Canadian cities and found a 18.7-34.6% reduction in cumulative GHG emissions from 2019 to 2030
Researchers developed a water harvester device that harnesses atmospheric water vapor using metal-organic frameworks and ambient sunlight. The device successfully collected up to 285g of water per kilogram of MOF in extreme environments, showcasing its potential for universal applicability.
The Tiangong space station features a T-shaped configuration with three modules: Tianhe, Wentian, and Mengtian. It boasts advanced technologies, including a large-area flexible solar array system, physicochemically regenerative life support systems, and robotic arms.
Scientists proposed an adapted Mars ISRU system to produce oxygen for ascent propellants and life support. The system's performance was modeled with various control options, optimizing cell voltage and flow rate while minimizing carbon formation risks.
Researchers have identified a novel pathway to stabilize nanoscale precipitates in alloys by utilizing nonequilibrium processes, stopping coarsening and resulting in stable nanostructures. This approach has potential applications in materials used for nuclear applications, batteries, and other industries.
A new technique converts kale waste into phytochemicals for use in health and personal care products, preserving potency and using non-toxic solvents. The method reduces energy consumption and emissions, making it attractive for industry adoption and supporting a circular economy.
A three-year study investigates how showerhead features affect concentrations of DWPIs in shower water and aerosols. The research aims to provide insights for consumers to select healthier showerheads and minimize exposure risks.
The University of Hong Kong's research team has proposed a universal unit to standardize data sharing in antimicrobial resistance surveillance. This approach aims to enhance comparability across studies and facilitate globally coordinated efforts against antimicrobial resistance. The team's work has the potential to significantly chang...
Researchers aim to create machine learning tools that can analyze and quantify shape information from images, enabling more accurate diagnoses and improving patient care. A new family of deep neural networks, called DSNNs, will be developed to tackle AI's blind spot in image analysis.
Scientists have developed a new method to manufacture high-performance aluminum matrix composites using asymmetric cryorolling, resulting in improved mechanical properties and increased ductility. The technique produces sheets with fewer microvoids, finer grain size, and higher density of dislocations.