Study and Realization of Dual-Mode Mobile Light Detection and Ranging Measurement System.

Most existing mobile LIDAR measurement systems use a GNSS/INS combination method for attitude positioning. This method requires a constant GNSS signal to correct the IMU's positioning and attitude. In the absence of GNSS signals, the IMU's positioning accuracy rapidly deteriorates from the centimeter to sub-meter, or even meter levels.

Efficient Gearbox Fault Diagnosis Based on Improved Multi-Scale CNN with Lightweight Convolutional Attention.

As a core transmission component of modern industrial equipment, the operation status of the gearbox has a significant impact on the reliability and service life of major machinery. In this paper, we propose an intelligent diagnosis framework based on Empirical Mode Decomposition and multimodal feature co-optimization and innovatively construct a fault diagnosis model by fusing a multi-scale convolutional neural network and a lightweight convolutional attention model. The framework extracts the multi-band features of vibration signals through the improved multi-scale convolutional neural network, which significantly enhances adaptability to complex working conditions (variable rotational speed, strong noise); at the same time, the lightweight convolutional attention mechanism is used to replace the multi-attention of the traditional Transformer, which greatly reduces computational complexity while guaranteeing accuracy and realizes highly efficient, lightweight local-global feature modeling.

Bioactive Components, Pharmacological Properties, and Applications of Y. C. Ma: A Comprehensive Review.

Y. C. Ma (), a holoparasitic desert plant traditionally revered as "desert ginseng", has emerged as a versatile resource with significant applications in both medicinal and dietary contexts.

Controlled release and stability enhancement of cinnamon essential oil in glutathione-modified soy protein particles: Its antimicrobial application for fresh-cut cantaloupe.

Although plant essential oils are widely recognized for their synergistic antimicrobial effects in postharvest fruit preservation, their use in food preservation coatings is limited due to their low water solubility and high volatility. To address these limitations, a self-assembling material SPI/SA/GSH (SSG) was developed by introducing glutathione (GSH) into a soy protein isolate (SPI) - sodium alginate (SA). The cinnamon essential oil (CEO) was encapsulated within this self-assembling material using homogenization and sonication techniques, to enhance its preservation capabilities.

Surface cationization of cellullose via Fenton oxidation for remedying dye contaminants: Adsorption performance and mechanism.

Targeted modification of cellulose corresponds to the physicochemical characteristics of dyes is advantageous to increase its adsorption capacity, but which is still exclusive. Here, a Fenton oxidation system was applied to fabricate microcrystalline cellulose (MCC) supported iron (Cel@Fe). Physicochemical property analysis elucidated that the incorporation of Fe nanoparticles tuned the surface charge for oxidized MCC.

A digital intelligence visualization health monitoring device for Alzheimer's disease patients based on WBAN technology.

Continuous visual health monitoring for Alzheimer's disease (AD) patients, as a lifelong degenerative neurological disorder, is increasingly emphasized in medicine and design. Meanwhile, wireless body area network (WBAN) technology, built on the Internet of Things (IoT), has been widely used in passive human health monitoring through convolutional neural algorithms. However, it is unclear whether the multimodal data collected by WBAN and its visualization and analysis allow AD patients to be more active in their own health and enhance stakeholders' care for AD patients compared to traditional active health monitoring.

Optimizing spatial accessibility and equity of hierarchical older adult care facilities using a multi-modal two-step floating catchment area method: a case study of Lin'an District, Hangzhou.

The global aging trend is becoming increasingly pronounced, and the accessibility and equity of older adult care facilities directly influence the health and quality of life of the older adult population, thus representing a critical issue in public health research and policy-making. Using Lin'an District, Hangzhou as an illustrative case, this research examines urban-rural integrated areas specifically, addressing the persistent challenge of supply-demand mismatches in older adult care facility allocation and seeking to optimize their spatial configuration. A comprehensive analytical framework based on the multi-modal two-step floating catchment area (2SFCA) method was established, integrating the Gini coefficient, Lorenz curve, and local spatial autocorrelation analysis to systematically evaluate the spatial accessibility and equity of older adult care facilities.

Numerical analysis of the impact of non-uniform gas diffusion layer deformation on the performance of proton exchange membrane fuel cells.

Proton exchange membrane fuel cells (PEMFCs) typically require assembly under specific conditions to ensure good air-tightness, mass transfer, and electrical conductivity. However, the stress and strain produced on cell components due to assembly pressure can affect the performance and lifespan of the cells. To thoroughly investigate the effects of assembly mechanics on the transport processes and output performance of the cells, this study employed the finite element method (FEM) through the ANSYS static structural module to analyze the deformation of the gas diffusion layer (GDL) and its material property changes under pressures ranging from 0.

Chlorogenic acid simultaneously enhances the oxidative protection and anti-digestibility of porous starch.

Porous starch (PS) has been utilized as an oral protective carrier to enhance the oxidative stability of liposoluble nutrients. However, PS releases more glucose during digestion, thereby increasing the risk of chronic diseases. Chlorogenic acid (CA) has excellent antioxidant properties and enhances the starch digestion resistance.

Advanced data-driven interpretable analysis for predicting resistant starch content in rice using NIR spectroscopy.

Resistant starch (RS) is a vital dietary component with notable health benefits, but tradition quantification methods are labor-intensive, costly, and unsuitable for large-scale applications. This study introduced an innovative data-driven framework integrating Near-Infrared (NIR) spectroscopy with Convolutional Neural Networks (CNN) and data augmentation to achieve rapid, cost-effective RS prediction. Achieving exceptional accuracy (Rp = 0.

Efficacy of nitrate and biochar@birnessite composite microspheres for simultaneous suppression of As(III) mobilization and greenhouse gas emissions in flooded paddy soils.

Elevated As(III) pollution and greenhouse gas (GHG) emissions are two primary environmental concerns associated with flooded paddy soils. Herein, a novel biochar@birnessite composite microsphere was engineered using a biochar, birnessite and sodium alginate formulation. The microspheres were applied along with nitrate to examine their efficacy in suppressing As(III) mobilization and GHG emissions in an As-contaminated flooded paddy soil.

Regulation of Arginine Metabolism and Ethanol Tolerance in by .

Ethyl carbamate (EC), primarily formed by the reaction between urea and ethanol, is a natural carcinogen prevalent in fermented alcoholic beverages. Urea is an arginine metabolite produced by . Previous studies have shown that influences arginine metabolism.

Biological Functions and Synthesis of the Active Components in .

As a fungus endemic to Taiwan, contains a variety of medicinally active substances, such as polysaccharides, triterpenoids, maleic acid and succinic acid derivatives, and ubiquinone derivatives. has attracted widespread attention due to its uniqueness, rarity, remarkable efficacy, and high economic value. In this work, we analyze the recent progress and future development of the artificial culture of mycelium of .

Silicon-iron modified biochar remediates cadmium and arsenic co-contaminated paddy soil by regulating cadmium and arsenic speciation.

Introduction: Silicon-iron-modified biochars (SMBCs) were produced to remediate paddy soil contaminated with both cadmium (Cd) and arsenic (As). This study explored the effects of SMBCs on the transformation of Cd and As species in soil and the associated responses of functional genes to elucidate the remediation mechanisms.

Method: Three silicon-iron modified biochars were utilized.

Sodium citrate enhances anaerobic fermentation of granular sludge: the multifaceted roles of structure disruption and metabolic regulation.

Anaerobic fermentation is an efficient approach for recovering organic carbon and other valuable resources from waste sludge, yet its efficiency is constrained by the structural stability of extracellular polymeric substances (EPS), especially for aerobic granular sludge (AGS). Despite the abundant physical-chemical pre-treatment approaches for enhancing EPS dissolution, biocompatible strategies coordinating structural disruption with metabolic regulation remain unexplored. Herein, sodium citrate (SC) was used to enhance the performance of anaerobic fermentation of AGS.

A dual-band mid-infrared polarization-insensitive perfect absorber.

We propose a dual-band mid-infrared polarization-insensitive perfect absorber utilizing a cross-shaped indium antimonide (InSb) metasurface. The absorber comprises a multilayer structure with an InSb cross-shaped thin film, dielectric layers (SiN and AlO), and a titanium reflective substrate. Through finite-difference time-domain (FDTD) simulations, the optimized design achieves near-perfect absorption efficiencies of 99.

A Review on the Prevalence and Treatment of Antibiotic Resistance Genes in Hospital Wastewater.

Antibiotic resistance is a global environmental and health threat. Approximately 4.95 million deaths were associated with antibiotic resistance in 2019, including 1.

A novel stroke classification model based on EEG feature fusion.

Stroke is the leading cause of disability and death worldwide. It severely affects patients' quality of life and imposes a huge burden on the society in general. The diagnosis of stroke relies predominantly on the use of neuroimaging.

Dynamic changes in physiochemical, structural, and flavor characteristics of ginger-juice milk curd.

Dynamic changes in the physiochemical, structural, and flavor characteristics of ginger-juice milk curd were explored by texture analysis, scanning electron microscopy, rheometry, electronic tongue, and gas chromatography-mass spectrometry (GC-MS). Protein electrophoresis showed that ginger juice could hydrolyze α-, β-, and κ-casein. Curd formation was initiated at 90 s, marked by significant changes in intensity detected via intrinsic fluorescence.

The prediction of RNA-small molecule binding sites in RNA structures based on geometric deep learning.

Biological interactions between RNA and small-molecule ligands play a crucial role in determining the specific functions of RNA, such as catalysis and folding, and are essential for guiding drug design in the medical field. Accurately predicting the binding sites of ligands within RNA structures is therefore of significant importance. To address this challenge, we introduced a computational approach named RLBSIF (RNA-Ligand Binding Surface Interaction Fingerprints) based on geometric deep learning.

The Association of Age and Liver Transplant Outcomes in Patients With Acute-On-Chronic Liver Failure.

Introduction: To explore the role of age at listing on outcomes for patients with acute-on-chronic liver failure (ACLF) awaiting liver transplantation (LT).

Materials And Methods: We assessed adult candidates listed for LT in the Scientific Registry of Transplant Recipients database from January 1, 2007 to June 30, 2018. Patients were divided into four groups based on age at listing: I (≤34), II (35-49), III (50-64), and IV (≥65).

Biochar Amendment Increases Peanut Production Through Improvement of the Extracellular Enzyme Activities and Microbial Community Composition in Replanted Field.

Peanut yield and quality are often threatened by soil degradation under continuous cropping. Biochar has been known to improve the soil microbial community and plant resistance. However, studies on its functions to reduce soil degradation losses and improve the peanut yield are limited.

Physicochemical characterization, release profile, and antibacterial mechanisms of caffeic acid phenethyl ester loaded in lipid nanocapsules with lauric acid and glycerol monolaurate.

Numerous studies have demonstrated the biological activities of caffeic acid phenethyl ester (CAPE), including antibacterial, antioxidant, and anti-inflammatory properties. However, the application of CAPE is limited by its low bioavailability and stability. In this work, we designed a CAPE loaded nanocapsule system by using polyoxyl-15-hydroxystearate, coconut oil and lecithin (LE)/lauric acid (LA)/glycerol monolaurate (GML) to improve the release rate of CAPE.

Asymmetric Atomic Pt-B Dual-Site Catalyst for Efficient Photoreforming of Waste Polylactic Acid Plastics in Seawater.

Waste plastic has imposed significant burdens on marine ecosystems. Converting plastic into high-value products via photocatalysis is an emerging and promising approach, but its low activity and product selectivity pose great challenges. Herein, we report a carbon nitride-anchored atomically dispersed Pt-B dual-site catalyst (Pt SA/BCN100) for the photoreforming of polylactic acid (PLA) into high-value chemicals and H in seawater.

Enhancing the Photovoltaic Performance of Directional-Growing Two-Dimensional Perovskites by Out-of-Plane Polarization.

Two-dimensional (2D) perovskites have great application potential in the photovoltaic field, but the carriers can only be transmitted in-plane due to the limitation of the quantum well structure. It is usually necessary to induce a vertical orientation in photovoltaic devices to overcome this limitation. Here we find that the carrier limitation of 2D perovskites can be overcome by out-of-plane polarization.