Universal, Time-Cost-Effective, and Inside-Out Strategy for Synthesis of Plant-Based Flow Catalysis Microreactors.

The utilization of plant-based flow catalytic microreactors has been increasingly gaining traction in the fields of water treatment, energy generation, and biotechnological science due to their inherent channel structures, renewable properties, and environmentally friendly nature. The conventional outside-in strategy for synthesizing plant-based monolithic microreactors typically entails prolonged hydrothermal modification, extensive chemical usage, or energy-intensive equipment. The present study presents a universal inside-out strategy for the rapid synthesis of monolithic catalytic microreactors derived from plant materials.

Conversion of Bamboo into Strong, Waterproof, and Biodegradable Thermosetting Plastic through Cell Wall Structure Directed Manipulation.

Reckoning with the global environmental challenge of plastic pollution, particularly in terms of recycling and biodegradation of thermosetting plastics, sustainable alternatives are imperative. The rapidly growing and eco-friendly material bamboo has great potential as a sustainable resource; however, it lacks the inherent self-bonding and plasticity characteristics found in plastics. This study presents a feasible approach to enhance the plasticity of bamboo by selectively removing part of its lignin and disrupting the crystalline structure of cellulose.

High-intensity interval training and medium-intensity continuous training may affect cognitive function through regulation of intestinal microbial composition and its metabolite LPS by the gut-brain axis.

Aims: The gut-brain axis is the communication mechanism between the gut and the central nervous system, and the intestinal flora and lipopolysaccharide (LPS) play a crucial role in this mechanism. Exercise regulates the gut microbiota composition and metabolite production (i.e.

Optimized Dropkey-Based Grad-CAM: Toward Accurate Image Feature Localization.

Regarding the interpretable techniques in the field of image recognition, Grad-CAM is widely used for feature localization in images to reflect the logical decision-making information behind the neural network due to its high applicability. However, extensive experimentation on a customized dataset revealed that the deep convolutional neural network (CNN) model based on Gradient-weighted Class Activation Mapping (Grad-CAM) technology cannot effectively resist the interference of large-scale noise. In this article, an optimization of the deep CNN model was proposed by incorporating the Dropkey and Dropout (as a comparison) algorithm.

Treadmill Exercise Modulates Intestinal Microbes and Suppresses LPS Displacement to Alleviate Neuroinflammation in the Brains of APP/PS1 Mice.

Neuroinflammation occurs throughout the pathogenesis of Alzheimer's disease (AD). Here, we investigated the effects of treadmill exercise on neuroinflammation in APP/PS1 transgenic AD mice and the potential involvement of microbe-gut-brain axis (MGB) mechanisms based on growing evidence that AD's pathogenesis is correlated with a deterioration in the function of gut microbiota. APP/PS1 transgenic AD mice were subjected to 12 weeks of treadmill exercise, followed by spatial memory tests.