A novel radiant-convective heating terminal is proposed to improve indoor thermal environments and energy efficiency in intermittent heating scenarios. The study shows that the terminal can stabilize room temperatures within a comfortable range of 18-22°C and demonstrates better performance than conventional radiators.
Researchers developed a novel stress–strain model that considers stress-path dependency to accurately predict FRP-confined UHPC behavior, addressing a critical gap in current models. The study reveals the formation of major diagonal cracks causes non-uniform lateral expansion, decreasing effective confining pressure.
A new recycling process for rare-earth elements has been developed, promising to significantly advance recycling technology and support global efforts towards carbon neutrality. The selective extraction–evaporation–electrolysis (SEEE) process achieved recovery rates of 96% for neodymium and 91% for dysprosium, with both metals reaching...
A new inverse-design approach has been introduced to design on-chip computational spectrometers, offering a dramatic leap forward in spectrometer technology. The method uses bio-inspired algorithms, such as particle swarm optimization, to optimize disordered photonic structures and achieve impressive results.
Researchers unveil a groundbreaking approach to designing refractory high-entropy alloys with unparalleled strength and ductility. The method, integrating machine learning with advanced computational techniques, has resulted in the development of alloys with superior mechanical properties.
Researchers discovered significant differences in charging properties and particle dynamics of Chang'e-5 samples under high-vacuum conditions. The findings suggest new methods for controlling lunar particles, crucial for dust elimination and mineral enrichment in space applications.
Researchers have developed a novel biochar-based substrate that improves denitrification in constructed wetlands under low C/N ratios. The new approach boosts nitrogen removal rates by up to 45.89% and reduces nitrous oxide emissions by 70.57%.
A novel PEEK-based implant material, sPEEK/BP/E7, has been developed to promote bone growth and possess potent antibacterial capabilities. The material exhibits enhanced cytocompatibility and osteogenicity in vitro, outperforming traditional samples.
A new MXene-based Matthew membrane exhibits high K+-sieving performance with a K+/Na+ selectivity of up to about 9. The excellent performance is attributed to the recognition effect in the RL and fast transport of hydrated K+ through the EL.
A systematic review and meta-analysis of 99 randomized controlled trials found that vitamin D supplementation reduces systolic and diastolic blood pressure, total cholesterol, and fasting blood glucose in various populations. The benefits were most pronounced in non-Western groups, individuals with low baseline vitamin D levels, those ...
A recent study reveals that urban underground space (UUS) development can provide substantial carbon-sequestration potential through geothermal energy utilization. The research analyzes China's UUS development over two decades and concludes that long-term operation of metro systems can offer significant carbon-sequestration benefits.
Researchers developed Porous-DeepONet, a deep learning framework that efficiently captures complex features of porous media and learns solution operators. It outperforms traditional FEM methods in solving parameterized reaction-transport equations in porous media, handling complex domain geometries and multiphysics coupled equations.
A new interpretable deep learning modeling architecture, LACG, is proposed to handle complex variable interactions in chemical processes. It achieves high-accuracy modeling results via the coupling of three sub-modules based on underlying logics. The model outperforms widely used neural networks in terms of interpretability.
A groundbreaking study analyzing 12 million deaths finds that stock market volatility is associated with a heightened risk of major adverse cardiovascular events (MACEs) and suicide. Daily stock returns show significant correlations with mortality risks, particularly among older adults, males, and those with lower education levels.
Recent advancements in China have transformed large-span arch bridge construction, showcasing cutting-edge techniques and innovative materials. The country's landmark bridges, such as the Pingnan Third Bridge and Tian'e Longtan Bridge, exemplify these breakthroughs.
Researchers have developed novel X-ray-sensitizers that can efficiently generate singlet oxygen for targeted cancer therapy using low-dose X-rays. This breakthrough could lead to a more effective and patient-friendly alternative to current radiotherapy methods, potentially reducing the risk of adverse effects.
A research team has introduced a pioneering method to recover phosphorus from municipal wastewater, transforming it into a valuable resource for battery production. The resulting carbon-coated LiFePO4 cathodes exhibit impressive performance characteristics, achieving high discharge capacity and cycle stability.
A novel technique for tissue slicing and cultivation has been introduced, utilizing hierarchical magnetic microneedle array robots to address challenges in clinical settings. The method enables precise control over tissue manipulation and analysis, promising advancements in precision medicine and personalized treatment.
A pioneering study by Chinese researchers successfully optimizes ammonia co-firing technology to significantly reduce CO2 emissions in a 300-MW coal-fired power station. The research confirms that NH3 escape at the boiler outlet is effectively contained below 1 ppm, with negligible impact on thermal efficiency.
A new method for generating dynamic security region boundaries has been developed using space division and Wasserstein generative adversarial network with gradient penalty. This method significantly improves the efficiency and accuracy of transient stability analysis in power systems with high wind power penetration.
A new model, PAG-STAN, predicts short-term origin-destination demand in urban rail transit systems with remarkable precision. The model improves interpretability and enhances training efficiency through a masked physics-guided loss function.
Researchers at Beijing University of Chemical Technology and BOE Technology Group Co., Ltd. have developed a novel transparent organic-inorganic hybrid photoresist with a highly tunable refractive index of up to 2.0, allowing for precision machining of optical microstructures and improving display device efficiency. The material exhibi...
Researchers have developed a novel CMUT-based biosensor that can detect single-stranded DNA oligonucleotides with high specificity without needing external labels. The biosensor features improved selectivity and label-free detection, making it suitable for point-of-care diagnostics.
The new MEMS Huygens clock offers improved precision and stability, with Allan deviation improving by a factor of 3.73 at 1 second and 1.6343 × 10^5 times at 6000 seconds.
A new study assesses the impact of freeze-thaw cycles on concrete structures in China's plateau region. The researchers introduce a spatiotemporal distribution model to analyze F–T action levels and create a nationwide zonation for improved infrastructure durability.
A novel triple combination of meropenem, avibactam, and a metallo-β-lactamase inhibitor demonstrates significantly broader spectrum of antimicrobial activity against diverse β-lactamase-producing bacteria. The study offers a new strategy to combat global health crisis of antibiotic resistance.
Researchers unveil a theoretical framework that could revolutionize network systems, addressing the limitations of traditional unimorphic networks. The polymorphic network environment (PNE) enables the creation of a versatile 'network of networks' capable of accommodating diverse service requirements.
This study proposes a new configuration for an electric tractor with a wheel-side motor independent drive system, battery ballast system, and direct-drive electro-hydraulic suspension system. The proposed active control method reduces tractor slip by 14.83% and increases traction efficiency by 10.28%.
A new study reveals that approximately 22.13% of CO2 is adsorbed during the fracturing process, with diffusion further augmenting CO2 interaction with the shale rock over time. This results in a remarkable 26.02% increase in CO2 adsorption, ensuring long-term and stable storage within the reservoir.
Researchers have introduced the 8IMEM quantification method to evaluate regolith solidification techniques, finding regolith bagging as the highest-rated technique. The study proposes a four-stage plan for lunar infrastructure construction, with regolith bag technology as a solution for lunar base construction.
Researchers develop PFBN to address mechanical challenges of intertrochanteric femur fractures, significantly reducing complications and improving patient outcomes. The study demonstrates the PFBN's ability to regulate local mechanical environment, promoting post-operative recovery for elderly patients.
A study proposes a safe motion planning and control (SMPAC) framework to address safety of the intended functionality (SOTIF) challenges in automated driving. The framework leverages set theory, robust control theory, and reachability analysis to enhance SOTIF under multi-dimensional uncertainties.
A highly integrated RDA is proposed and demonstrated for two-way wireless communication with automatic beam tracking, enabled by specifically designed CMOS chips. The RDA can perform real-time tracking and beam steering without requiring prior knowledge of the source position or complex DSP algorithms.
A new algorithm combines deep learning and transfer learning to retrieve advanced geosynchronous radiation imager (AGRI) aerosol optical depth with high accuracy. The approach facilitates feature selection and offers applicability to other multispectral sensors.
A team of researchers introduces an innovative MILP model with VNS algorithm to optimize UAV inspection routes and schedules for engineering projects. The approach leverages the agility and precision of UAVs to conduct inspections in a fraction of the time and with significantly reduced risk to human inspectors.
Researchers propose MGDL to integrate physical knowledge into deep learning modeling, providing guidance and constraints based on physical principles. The approach demonstrates distinct advantages in terms of convergence stability and prediction accuracy, outperforming traditional techniques.
Researchers developed a novel electrochemical system integrating transient electric field and swirling flow to improve mass transfer and promote interfacial ion transport. The system achieves rapid and high-quality metal recovery, overcoming limitations of conventional electrodeposition methods.
Researchers at Xidian University completed a full-link ground demonstration system for an SSPS, showcasing key technologies such as high-efficiency solar power collection and microwave wireless power transmission. The Sun-Chasing Project successfully transmits over 2 kW of microwave power over 55 m distance.
A team of Xidian University researchers has introduced an optimal design method for antenna aperture illumination with annular collection areas, maximizing power radiated on the collection area. The approach simplifies the optimization problem to maximize the ratio of two real quadratic forms, leveraging matrix theory.
A research team has developed an innovative intelligent control method for low-carbon operation of energy-intensive equipment, combining mechanism analysis with deep learning. The method achieved significant reductions in carbon emissions, while maintaining optimal operational efficiency and increasing product yield by up to 3.65%.
A novel adhesive, engineered from protein coacervates, exhibits robust adhesion and real-time skin healing properties. The adhesive surpasses existing adhesives in sheared adhesion strength and promotes cell proliferation and migration, enabling in situ skin regeneration.
Researchers developed a groundbreaking control method to reduce carbon emissions from zinc oxide rotary kilns while maintaining high profits. The method uses a multi-objective adaptive optimization model predictive control approach to optimize the process in real-time.
Ghent University's research team explores active machine learning to revolutionize chemical engineering. The technology offers greater flexibility and performance compared to traditional design of experiment algorithms.
Researchers investigated the polymerization behavior and thermal properties of copolymers formed through ethylene copolymerization with linear and end-cyclized olefins. The study reveals that end-cyclized olefins have a higher coordination probability and lower insertion rate, leading to stronger crystallization destructive capacity.
A Chinese research team discovered chelerythrine's dual effects in combating mobile colistin resistance by reducing MIC and eliminating bacterial colonies. The compound binds to phospholipids, increasing fluidity and impairing respiration, ultimately downregulating mcr-1 gene expression.
A novel method using functional resilience assesses liver conditions through clinical blood tests, achieving a macro-averaged precision of 84.74%. This approach reduces the need for excessive imaging exams and optimizes medical resource utilization.
A team developed a double-layer polysaccharide hydrogel that enhances the bioavailability, intestinal colonization, and effectiveness of probiotics. The hydrogel successfully encapsulates and delivers probiotics in a targeted manner within the body.
A new review suggests that dietary lipids, particularly phospholipids, hold great promise in preventing brain aging and cognitive decline. Plasmalogen, a nutrient found in the postsynaptic membrane of neurons, shows promising results in alleviating cognitive impairment associated with aging.
Researchers at Tianjin University have discovered a novel approach to combating multidrug-resistant bacteria, inspired by the selective biocatalytic property of macrophages. The biomimetic intelligent catalysis system, consisting of living macrophages and nanoparticles, shows promise in killing MDR E. coli without harming normal cells.
A research team has discovered a novel approach to increase terpenoid production by fine-tuning isoprene pyrophosphate metabolism. The technique, which involves genetically encoded circuits, resulted in a remarkable increase in IPP synthesis and led to the production of high-value terpenoids.