The study proposes a balanced-partitioning treemapping method that maintains near-square aspect ratios for better small element visibility. It also creates stable layouts for time-dependent sequences, such as stock market variation with time.
A digital twin-based smart healthcare system uses a cascade recurrent convolution neural network (RCNN) architecture to analyze X-ray images and detect COVID-19. The system achieves good accuracy, with a mean average precision rate of 0.94.
A novel cloud-based framework is proposed to manage and analyze industrial IoT data in cloud environments, optimizing energy consumption through reinforcement learning. The system aims to provide an energy-efficient and secure environment for industries such as healthcare and education.
Researchers developed a method to estimate local and asymmetric face deformations from 2D landmarks, disentangling muscular movements and shape changes. The tool enables patients recovering from facial paralysis to monitor progress without specialized equipment, receiving immediate feedback.
A novel Methylomirabilota methanotroph has been discovered that potentially couples methane oxidation to iodate reduction. This microbes could play an important role in controlling methane emissions in iodate-rich marine ecosystems.
A study found that vaginally delivered newborns have a higher risk of exposure to pathogenic viruses from the mother's vagina, which can affect their gut health. This challenges the conventional notion that vaginal delivery is safer than cesarean section.
Researchers propose a new design for highly-active anode catalysts in direct methanol fuel cells using ultrafine Rh nanoparticles anchored on 3D graphene-zeolitic imidazole frameworks. The hybrid architectures enhance electrochemical performance and activate synergistic catalytic effects.
Researchers developed an ultrasmall VN/Co heterostructure anchored in N-doped graphitic nanocarbons, achieving high current density and durability. The hybrid structure showed improved HER activity and stability, offering a novel strategy for industrial super-stable catalysts.
Researchers developed a microwire-based platform to visualize and quantify the electrochemiluminescence (ECL) layer in real-time. By varying the concentration ratio of Ru(bpy)3+ to TPrA, they observed an apparent extension of the ECL layer, revealing the significant contribution of the catalytic route to ECL intensity.
This study uses surface-tracked scanning ion conductance microscopy to investigate kinetics of ion transport in ionic redox transistors. It shows that applying a reduction potential facilitates ion ingress into redox sites, driving transmembrane transport.
Researchers have synthesized Pt5Ce alloy nanoparticles with ideal particle sizes of 6–9 nm, achieving high activity and stability toward the oxygen reduction reaction. The study's findings suggest that optimizing particle size is crucial for balancing catalytic performance and industrial applicability.
Researchers developed an efficient microbial cell factory producing β-alanine from fatty acid feedstocks with the highest reported metrics. This innovative approach leverages the glyoxylate-TCA cycle for high-yield and balanced product synthesis, offering insights into novel bioproduction routes.
A study analyzing fecal samples from COVID-19 patients found that those with healthy gut microbiota had higher diversity and SCFAs, reducing chronic symptoms. Probiotics and supplements may alleviate symptoms and promote prognosis in these patients.