Mechanism of microbial action of the inoculated nitrogen-fixing bacterium for growth promotion and yield enhancement in rice (Oryza sativa L.).

The use of nitrogen-fixing bacteria in agriculture is increasingly recognized as a sustainable method to boost crop yields, reduce chemical fertilizer use, and improve soil health. However, the microbial mechanisms by which inoculation with nitrogen-fixing bacteria enhance rice production remain unclear. In this study, rice seedlings were inoculated with the nitrogen-fixing bacterium R3 (Herbaspirillum) at the rhizosphere during the seedling stage in a pot experiment using paddy soil.

Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma.

Objectives: We aimed to use artificial intelligence to accurately identify molecular subgroups of medulloblastoma (MB), predict clinical outcomes, and incorporate deep learning-based imaging features into the risk stratification.

Methods: The MRI features were extracted for molecular subgroups by a novel multi-parameter convolutional neural network (CNN) called Bi-ResNet-MB. Then, MR features were used to establish a prognosis model based on XGBoost.

Distinct seasonality of nutrients in twigs and leaves of temperate trees.

Seasonal variations of nutrients in different organs are an essential strategy for temperate trees to maintain growth and function. The seasonal variations and variability (i.e.

A Supramolecular Fluorescent Chemosensor Enabling Specific and Rapid Quantification of Norepinephrine Dynamics.

Host-guest supramolecular fluorescence probes have garnered significant attention in the detection and sensing of bioactive molecules due to their functionalization potential, adjustable physical properties, and high specificity. However, such probes that reliably, rapidly, and specifically measure neurotransmitter dynamics at the cellular and in vivo level have yet to be reported. Herein, we present a supramolecular fluorescent chemosensor designed for norepinephrine (NE) detection, showing an exceptional response and specificity through host-guest complexation.

Temperature and light dual-responsive hydrogels for anti-inflammation and wound repair monitoring.

Wound healing is a complex and dynamic biological process that requires meticulous management to ensure optimal outcomes. Traditional wound dressings, such as gauze and bandages, although commonly used, often fall short in their frequent need for replacement, lack of real-time monitoring and absence of anti-inflammatory and antibacterial properties, which can lead to increased risk of infection and delayed healing. Here, we address these limitations by introducing an innovative hydrogel dressing, named PHDNN6, to combine wireless Bluetooth temperature monitoring and light-triggered nitric oxide (NO) release to enhance wound healing and management.