A research team developed a hydrogel that senses changes in wound pH and responds with antibacterial agents to fight infection. As healing progresses, the gel releases ions supporting angiogenesis and tissue regeneration, achieving over 90% wound closure in just 14 days.
A global initiative has been launched to tackle glycolipid metabolic disorders, which are prevalent and linked to various chronic diseases. The initiative aims to improve public health education and develop an integrated screening-diagnosis-treatment-management system to prevent disease progression.
The SH17 dataset, containing over 8,000 images, expands coverage to manufacturing environments, addressing a gap in existing research. The dataset achieved high performance with state-of-the-art object detection models, including YOLOv9 variant.
The article reviews how AI is addressing challenges in metasurface technology, from unit-cell optimization to system-level integration. AI-driven methods like graph neural networks and multi-task learning enhance stability and performance against manufacturing variations.
A new study evaluates the ecological use of reclaimed water, identifying key dimensions of indicators for pollution level, purification process, sensory quality, and nature proximity. The authors propose a holistic framework to address these impacts and develop differentiated safety standards for toxins, nutrients, and pathogens.
Researchers identified NEU1 as a key driver of endothelial dysfunction in acute lung injury. A natural compound called baicalin has been found to bind to and degrade NEU1, reducing inflammation and improving outcomes.
A new review highlights hydrogels as ideal for sweat sensing due to their flexibility, biocompatibility, and ability to detect biomarkers in real-time. The technology has the potential to revolutionize personal health monitoring with painless and continuous tracking of conditions like diabetes and dehydration.
A three-year field experiment in China found that no-tillage with total green manure mulching significantly increased maize biomass, grain yield, and photosynthetic capacity by improving soil water content and temperature. This method also optimized root structure and canopy coverage of maize.
Researchers have identified antimicrobial peptides as a safe alternative to traditional antibiotics for treating oral diseases. These peptides can inhibit bacterial growth, regulate inflammation, and promote tissue repair, making them a game-changer in oral medicine.
A new study reveals that the S-enantiomer of o,p'-DDD pesticide metabolite is more toxic to zebrafish larvae and has severe consequences for their development. The research found that maternal transfer was highly efficient, with the S-enantiomer accumulating in higher levels than its mirror-image R-form.
A simplified intelligent modelling platform online (SIMPO) has been developed to enable everyone to use professional-grade wastewater treatment modelling. SIMPO automates complex tasks, provides a practical tool for designing and optimizing processes, and offers an intuitive interface for students.
A team of researchers from China applied CNNs to predict swine traits using previously published data, achieving optimal performance with a novel one-hot encoding method. The expanded encoding method enhanced the CNN's prediction accuracy, outperforming traditional techniques.
A new study uses graph representation learning to enhance bookkeeper decision support for bank reconciliation. The method significantly improves match accuracy, especially on one-to-many matches, by leveraging a network of historical records and transactions.
A new flexible energy harvesting solution was proposed to address the shortcomings of traditional evaporation-induced generators. The novel device achieves high-efficiency power generation and flexibility, making it suitable for wearable scenarios. Experimental results show improved performance under various conditions.
Biosurfactants, such as rhamnolipids and sophorolipids, have been found to be highly effective and biodegradable alternatives to synthetic surfactants in shampoo formulations. They offer improved environmental compatibility and are suitable for sensitive skin, with properties that surpass those of traditional surfactants.
Nanoemulsions in cosmetics provide efficient carriers for active ingredients, maintaining product efficacy and bioavailability. Their stability ensures sustained release of actives, reducing the need for frequent application.
Researchers identified a genetic marker, PAV284, associated with increased salt tolerance in sorghum seedlings. The SbTEF1 gene plays a role in regulating root growth under saline conditions.
A systematic review examines the current landscape in data processing flow, multimodal fusion strategy, and model architecture for affective computing. Deep learning methods are shown to extract feature representations with high consistency across public datasets and self-collected data.
A global dataset of orchid-fungal associations reveals that an orchid's fungal community is driven more strongly by its ecophysiology and biogeography than by its phylogeny. The study provides new insights into the global patterns and drivers of orchid mycorrhizal interactions.
Research reveals heavy metal concentrations were higher than global averages, especially for Zinc, Chromium, and Nickel, posing ecological risks in the region's waters and sediments. Cadmium was found to be a significant contributor to sediment pollution, with an 'extremely high' potential ecological risk index.
A new material called NBC900 demonstrates a high capacity for capturing imidacloprid from water, outperforming existing adsorbents. Nitrogen groups incorporated into the biochar act as electron donors, facilitating strong interactions with pesticide molecules.
Researchers screened top-performing COFs for helium purification from natural gas and identified the best candidates for adsorption and membrane-based separations. Machine learning analysis revealed key descriptors governing helium purification performance, offering broader insights for future studies.
A Chinese research team found that earthworms reduce adverse effects of microplastics on plant growth by promoting soil nutrient cycling, improving microbial communities, and regulating plant gene expression. Earthworms upregulate genes involved in protein synthesis, nutrient accumulation, and energy metabolism, enhancing plant resista...
A team of researchers has developed a new machine called the Electronic Probe Computer (EPC60) that can solve NP-complete problems, including optimal routing, scheduling, and network design. The EPC60 outperforms leading commercial software solvers in solving complex problems with high accuracy and efficiency.
Researchers developed a novel bio-inspired isolator inspired by the seahorse exoskeleton, which converts linear motion into torsional motion to provide excellent low-frequency isolation performance. The structure achieves a minimum resonant frequency of 1.5 Hz and can be adjusted to expand its isolation range.
A research team developed a comprehensive manufacturing approach for stretchable synaptic transistors, enhancing electro-mechanical stability and learning accuracy. The architecture of devices plays a crucial role in maintaining stable electrical behavior under deformation.
Researchers developed a nanoparticle system combining lenalidomide and melarsoprol to activate the cGAS-STING pathway, promoting immunotherapy for HCC. The combination therapy significantly reduced tumor growth and improved survival in mouse models.
Researchers from China used CRISPR/Cas9 technology to knock out the GS9 gene in japonica rice, resulting in improved grain shape and reduced chalkiness. The study found no impact on yield per plant, making this a promising breeding strategy for improving rice appearance quality.
Researchers explore synergetic energy-coupled catalytic systems to overcome barriers in CO2 reduction, enabling more efficient and selective conversion of carbon dioxide into fuels and chemicals. Hybrid systems combine multiple energy inputs, such as light, heat, plasma, and electricity, to activate reactants and catalysts effectively.
Research on per- and polyfluoroalkyl substances (PFASs) in drinking water has evolved through three distinct phases, with a focus on monitoring and treatment challenges. The study reveals growth in research, with cumulative publications expected to reach 7,689 by 2030.
A novel AI optimization model called GAN-Solar has been developed to address the technical bottleneck of accurate short-term solar forecasting. The model achieves significant improvements on key metrics compared to existing advanced models, producing high-definition forecasts that capture crucial details.
A new study reveals that microplastics and heavy metals can disrupt organ development and hormone balance in higher-level species through the food chain. The study found delayed growth in zebrafish exposed to combined pollutants, highlighting the hidden risks of pollutant mixtures in real-world environments.
Researchers developed granular beds with asymmetric wettability to treat refinery wastewater. The structure directs oil droplets to migrate efficiently, reducing blockages and energy consumption. The findings offer a reliable technical pathway for optimizing energy consumption and scaling up oily wastewater pretreatment processes.
Researchers introduced refinements to a rarely used surgical method, the reverse homodigital dorsoradial flap, for radial thumb defects. The key refinements preserved subcutaneous tissue for venous drainage and left a buffer zone at the arterial pivot point to reduce stress on blood vessels.
Researchers developed a latex-based tissue adhesive to prevent seroma formation and prolonged lymphorrhea after axillary dissection. The study found that the adhesive significantly reduced wound exudate volume and allowed patients to be discharged earlier, with no complications reported.
The East Asian Summer Monsoon has shaped the genomic evolution of Engelhardia species through significant variations in genome size and gene number. Phylogenomic analyses reveal divergence between evergreen and deciduous lineages around 52 Mya, coinciding with EASM intensification.
Researchers discovered TaMYB10-3A as a molecular switch controlling condensed tannin presence in wheat grains. The study identified genetic markers for precise modulation of condensed tannin content.
Researchers developed an advanced survey system combining AR glasses with a camera and AI to objectively assess leafminer damage in the field. The DeepLab-Leafminer model achieved superior segmentation performance, resulting in high diagnosis accuracy rates.
Researchers have developed a groundbreaking approach to modifying the interfacial chemistry of hard carbon anodes, improving their sodium storage capacity and rate performance. This breakthrough could unlock the full potential of sodium-ion batteries, making them viable options for large-scale energy storage and electric vehicles.
Researchers have assembled a near-complete genome map of northern wild rice (Zizania palustris), spanning 1.41 Gb with 47,804 predicted genes. This improved genome provides critical insights into the plant's unique adaptations and traits, supporting future breeding and sustainable cultivation.
Researchers from Perugia University explore how machine learning can aid in earlier hazard detection and improved risk communication. However, they caution that ML tools must be used responsibly and transparently to ensure accurate predictions and avoid potential pitfalls.
A new study proposes a deep learning framework that integrates multiple wavelet bases for recognizing motor imagery EEG signals in spinal cord injury patients. The model achieves high prediction accuracy and demonstrates good stability and individual convergence.
Researchers developed a wavelet-based approach to detect shortwave rail defects, intensifying vibrations between wheels and bridges. The method achieves over 95% detection accuracy, identifying small defects as small as 0.5 mm in amplitude.
Researchers found that common waterborne amoebae can ingest and protect human viruses, extending their environmental persistence. The viruses can enter and persist within the amoebae's cells, potentially bypassing water treatment methods.
A new study examines how three sources of ambiguity impact carbon abatement decisions and finds that they can push policy in different directions. The authors' analysis shows that aversion to climate sensitivity, economic damage, and abatement cost ambiguity can lead to varying levels of abatement.
Researchers developed MCA to address technical difficulties in esophageal atresia repairs; the technique involves prior approximation of esophageal ends followed by endoscopic delivery of magnets for anastomosis creation. Optimal compression force, surface coating, and tissue preparation are critical factors for successful implementation.
Research on polymer fiber reinforced concrete in low vacuum environments reveals improved mechanical properties and enhanced durability due to the high strength of polyethylene fibers. The study's findings suggest leveraging fiber confinement properties for optimal performance.
A research team developed a pipeline using pre-trained large language models to unify radiology and pathology reports, achieving high accuracy in tumor presence and stability. The system also predicted survival outcomes without additional training, distinguishing high-risk from low-risk groups.
A team of researchers analyzed 238 high-oil peanut varieties across China, evaluating their agronomic performance and disease resistance. Key findings revealed a trade-off between oil content and protein levels, with many varieties showing resistance to major diseases but few exhibiting high-level resistance.
Researchers discovered SHAT2 as a positive regulator of seed shattering and quality in rice. The gene's expression was found to down-regulate genes related to these traits, suggesting its role in controlling seed shattering and quality. This finding offers potential for breeding rice varieties with desirable characteristics.