The integration of ground source heat pump (GSHP) systems with energy piles offers a promising solution to address the growing urban heat island effect and reduce electricity consumption in smart cities. This technology provides efficient heating and cooling, reduces carbon emissions, and promotes sustainable urban development.
A machine learning model predicts soil behavior during earthquakes, identifying areas vulnerable to liquefaction and providing contour maps for safer construction sites. The study uses geological data to create detailed 3D maps of soil layers, improving prediction accuracy by 20%.
A team of researchers from Shibaura Institute of Technology developed a moving particle simulation-aided soil plasticity analysis for earth pressure balance shield tunnelling. The study found that earth pressure is a reliable indicator for analyzing soil plasticity and proposed a computer-aided analysis system that precisely reflects e...
Researchers developed a novel predictive model to accurately predict soil resistivity, reducing the need for extensive testing and modifications. The study's findings can optimize substation grounding designs, cutting costs while maintaining regulatory compliance.
Researchers find that unabsorbed dietary polyphenols can reduce the risk of type II diabetes by regulating blood glucose levels and appetite through secretion of gastrointestinal hormones. Polyphenol-mediated binding and activation of T2R promotes the release of incretins, which regulate insulin secretion and food intake.
A new AI-powered predictive model can generate comprehensive soil liquefaction risk maps, enabling urban planners and engineers to visualize high-risk areas and make informed decisions. The model achieved high accuracy in predicting soil classifications and N-values, validating its effectiveness in enhancing urban resilience.
Researchers developed a one-dimensional model to predict soil temperatures around energy piles in Southeast Asia. They found that temperature distribution remained stable despite changes in soil thermal conductivity, indicating GSHP systems can be designed flexibly.
Researchers developed a novel method to visualize sedimentation in soft-ground drilling, enabling accurate predictions of settling times. The Moving Particle Semi-Implicit (MPS) method models the drilling slurry and sand particles, reproducing three-dimensionally the settling process with high accuracy.
Researchers developed a novel method to estimate modulation amplitude and determine spatial resolution in Brillouin optical correlation-domain reflectometry (BOCDR) without costly equipment. This innovation simplifies the process, reducing costs and enhancing convenience.
Researchers developed a predictive model that maps soil-bearing layer distribution, enabling city planners to assess site suitability and optimize building design. The model improves prediction accuracy by combining geotechnical data and geographic coordinates.
Researchers developed a novel reactor design that efficiently converts CO2 emissions from small boilers into methane fuel. The design features a distributed feed and optimal gas mixture composition, resulting in improved temperature control and increased methane production.
A groundbreaking system utilizing a flexible tactile sensor based on electrical impedance tomography (EIT) offers significant advantages in terms of flexibility and sensitivity compared to conventional methods. The system achieved high classification accuracies, with reconstructed images and measured voltage vectors.
Researchers develop a new method to grow single-crystal perovskite hydrides, allowing for accurate measurement of intrinsic H- conductivity. The technique enables the production of high-quality crystals with minimal imperfections, paving the way for sustainable energy technologies and hydrogen storage applications.
A team of researchers from Shibaura Institute of Technology developed a self-folding origami gripper that can be mounted onto drones, enabling them to grasp and hold objects. The gripper weighs only 5 grams but demonstrates grasping force equivalent to holding a 130-gram object.
Researchers developed a displacement-type ferroelectric material with high dielectric constant by incorporating rubidium ions into perovskite compounds. The material exhibits unique distortions and phase transitions across a broad temperature range.
A team of researchers has developed a novel approach using game theory to maximize Wi-Fi performance by optimizing user positions. By analyzing the incentives for all users, their potential game model condenses the impact of new users and inter-user interference into a single function.
Researchers investigate the neuroprotective effects of tocotrienols in alleviating obesity-induced cognitive decline. The study found that T3s treatment improved cognitive function and mitigated oxidative stress in mice fed with a high-fat, high-sucrose diet.
A Japanese research team analyzed oxygen and nitrogen stable isotope ratios in nitrate to differentiate between sake breweries. The study found a distinct N isotope signature across various types of sake within a single brewery, which could be used as a marker for authentication.
Researchers developed novel optimal and robust-optimal controllers for the FDS model, achieving six-fold reduction in settling time and improved stability. The robust-optimal controller performed better than the optimal controller in simulations with noise, demonstrating its adaptability.
A blended antioxidant supplement improved spatial learning ability and short-term memory in supplement-treated aged mice. The discovery suggests that the supplements may also prevent age-related cognitive decline in humans and mitigate muscle frailty.
Research reveals that polyphenols interact with bitter taste receptors in the gut, promoting vasorelaxation, regulating blood pressure, and influencing hormone secretion. Bitter and astringent perception of polyphenols also affects HPA axis activation, improving mood and memory function.
A novel path choice model elucidates the influence of different attributes on pedestrians' local and global path choices. The study reveals that pedestrians locally perceive and react to environmental attributes like green views, guiding urban planning decisions.
A novel AI-based noise suppression system has been developed to improve the effectiveness of search and rescue drones during natural disasters. The system uses Generative Adversarial Networks (GANs) to accurately learn UAV propeller sound data and eliminate noise, allowing operators to clearly hear and recognize human sounds.
Researchers from Shibaura Institute of Technology develop new methodology to accurately simulate soil behavior in rigid state, leveraging MSP method and Bingham fluid biviscosity model. The study highlights the impact of parameters on simulation accuracy and computational costs.
Researchers develop PSEP, a compact and silent wearable thermal control device that offers real-time flow-rate monitoring and self-sensing capability. The device can adjust temperatures by up to 3°C, enhancing personal comfort and features an intuitive smartphone interface for seamless wireless control.
A noninvasive method for assessing muscular health in an aging population has been developed using bioelectrical impedance analysis. The study found that the phase angle can estimate muscle contractile properties and is associated with better muscle function, making it a valuable tool for monitoring muscular health.
Researchers developed an innovative method to manage construction-generated sludge by utilizing aeration curing, which reduces pH levels and requires less neutralizer. The technique has the potential to improve soil health and support sustainable development goals.
Researchers discover chemical injection strengthens sandy soil through increased cohesion and internal friction angle, with no long-term strength loss. The treatment also enhances water-sealing capacity, mitigating flood risks and improving infrastructure durability.
A study analyzed 145 blazars to understand the contribution of gamma-ray flares to neutrino emission. Researchers found that blazars with lower flare duty cycles and energy fractions are more numerous, indicating a correlation between their flare activity and neutrino production.
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.
Scientists from Japan create a new, more efficient form of liquefied stabilized soil from construction waste that can fill narrow spaces and be pumped over long distances. The material has improved flowability and lower environmental impact, making it suitable for large-scale civil engineering projects.
Researchers successfully developed a novel method for transforming atropisomers into specific enantiomers using the Pauson–Khand reaction. The reaction achieved high enantiomeric excesses and selectivity, opening up new avenues for synthesizing pharmaceutical compounds.
Researchers at Shibaura Institute of Technology developed a cellulose-based thickener to reduce environmental risks associated with liquefied stabilized soil. The thickener prevents bleeding, loss of fine particles, and unwanted settling, while maintaining soil strength.
Researchers add graphene to Bi-2223 superconductors, increasing critical current density and improving phase formation. The findings suggest potential applications in various fields, including power generation, transportation, and quantum computing.
Scientists from Shibaura Institute of Technology developed a more precise approach to face direction detection, achieving remarkable performance through deep learning-based classification. The new method uses point cloud data and gyro sensors, reducing the need for large datasets and improving accuracy.
Researchers develop adaptive fuzzy sliding mode controller to estimate unknown parameters and control nonlinear PAMs, showing improved tracking accuracy and adaptability compared to traditional methods.
Researchers successfully synthesized isotopic atropisomers based on carbon isotope discrimination, exhibiting high rotational stability and stereochemical purity. The findings hold promise for fundamental understanding of isotopic atropisomers with implications in organic and medicinal chemistry.
Researchers at Shibaura Institute of Technology have developed a faster way to synthesize CoSn(OH)6, a powerful catalyst required for high-energy lithium–air batteries. The new method uses solution plasma-based synthesis and achieves highly crystalline CSO crystals with improved catalytic properties.
Japanese researchers develop improved ternary superconductor bulks from liquid sources, demonstrating enhanced performance and microstructural analysis shows significant reductions in secondary phase particle size. The findings have huge potential for applications in magnetic levitation, electric motors, and energy systems.
A new study found that marathon running causes significant damage to extrinsic foot muscles, while intrinsic muscles are less affected. The research suggests that marathon runners can take steps to prevent injuries by prioritizing recovery and muscle fatigue management.
Scientists create high-performance bulk magnesium diboride superconducting magnets with low-cost technique, exhibiting good critical current density and trapped magnetic field. The work paves the way for commercialization of MgB2 superconducting magnets.
Researchers found that flat plate bow covers can decrease up to 42% of the wind drag on the hull of ships. The study used computational fluid dynamics simulations and found that a finer mesh gave more accurate results, with 23.62 million elements as an optimum number.
Scientists create optical imaging method to detect specific neurotransmitters serotonin, dopamine, and acetylcholine using fMIP-NPs. The technique demonstrates feasibility in selective detection of neurotransmitters released in the brain.
Researchers in Japan have developed a novel method to assign workplace locations to individuals in synthetic populations, addressing a significant limitation of previous models. This breakthrough enables more accurate social simulations, which can be used to assess various social issues and inform policy decisions.
Researchers have discovered that calcitriol, a form of activated vitamin D3, inhibits arsenic-mediated carcinogenesis in human skin cells. The treatment significantly reduced arsenic levels and suppressed anchorage-independent growth in both keratinocytes and lung epithelial cells.
A Japanese research team successfully constructed the first polymeric Weaire-Phelan structure, a previously theoretical form predicted to be the most efficient solution for a century-old tessellation problem. The structure was achieved through a novel polymerization-induced phase separation method.
A new study from Japan investigated the relationship between training volume and strength gain in young men. The researchers found that training volume was positively correlated with strength gain in participants who were classified as low responders.
Researchers analyzed human characteristics, path risk elements, and path network configuration in flood evacuation route choices. Their findings suggest that residents rely on safety perception rather than spatial logic when selecting evacuation routes.
Researchers from Shibaura Institute of Technology created a novel method to produce self-folding origami honeycomb structures using paper sheets, which can provide excellent protection against shocks and compression. The developed technique has potential applications in packaging, agriculture, and other fields.
A Japanese research team has synthesized isotopic atropisomers, a rare class of compounds, using ortho-CH3/CD3 discrimination. The resulting isotopic atropisomers exhibit high rotational stability and stereochemical purity.