Mild ultrasound-assisted alkali de-esterification modified pectins: Characterization and structure-activity relationships in immunomodulatory effects.

Apple pectin (AP), a well-established dietary fiber, offers significant health benefits, particularly in immunomodulation. However, the structure-activity relationship (SAR) in this context remains poorly understood. This study aimed to elucidate the impact of varying degrees of esterification (DE) on AP's SAR in immunomodulatory activity.

Unveiling relationships of human instinctive behaviors and blood pressure in Chinese adults: A network analysis.

Objectives: Human behaviors and blood pressure (BP) are closely intertwined, affecting health. However, few studies have demonstrated their complex relationships. Using network analysis, we aimed to untangle the intricate and potential causal relationships between BP and human instinctive behaviors, identifying potential action points for hypertension prevention and control.

Effectiveness of high-intensity inspiratory muscle training, and resistance and aerobic exercise for cardiovascular health in chronic obstructive pulmonary disease (HIRAC-COPD): a randomized controlled trial protocol.

Background: Cardiovascular diseases are among the most common and clinically significant comorbidities of chronic obstructive pulmonary disease (COPD). Exercise has been shown to reduce the risk of cardiovascular diseases, and high-intensity inspiratory muscle training (H-IMT) has emerged as a promising intervention for improving arterial stiffness in individuals with COPD. Yet, there is limited evidence from randomized controlled trials (RCTs) regarding the impact of H-IMT alone or in combination with exercise on reducing arterial stiffness in COPD.

The driving mechanism of citizens' protective behaviors for rainstorm flood disasters in China: An empirical study based on the protection motivation theory and protective action decision model.

Background/significance: Rainstorm floods have become a high-impact natural disaster and are expected to become more extreme shortly, seriously threatening human safety. Although the government issues timely and precise rainstorm flood warning information, citizens remain indifferent and engage in maladaptive behavior. Therefore, understanding the relationship between emergency information, psychological cognition, individual characteristics, and protective behavior is crucial for effective risk information communication and evacuation guidance.

Evaluating the influence of alternating flooding and drainage on antimony speciation and translocation in a soil-rice system.

The quantitative evaluation of antimony (Sb) accumulation in rice has garnered significant attention due to the potential risks to human health. A pot experiment was conducted to investigate the essential nodes of Sb transfer in soil-rice system. Seven step extract results showed that during the flooding period, organic matter releasing was the primary factor contributing 14.

Adsorption behavior and mechanism of lead by starch/tobermorite composite hydrogel.

Tobermorite (TOB) is a synthetic inorganic mineral material with a montmorillonite-like layered structure that removes heavy metals from water, and its incorporation into starch-based hydrogels can optimize the stability and adsorption properties of the hydrogels; it can also significantly reduce the storage pressure of fly ash (FA) and reduce environmental pollution. This study utilized starch/tobemolite/acrylic acid (LR/TOB/AA) as the raw material, successfully synthesizing a starch-tobemolite composite hydrogel (LR-TOB/AA) using aqueous solution polymerization. The hydrogel exhibits excellent water absorption and retention capabilities, as well as a significant adsorption effect on Pb(II).

Light-duty gasoline vehicle emission deterioration insights from large-scale inspection/maintenance data: The synergistic impact of usage characteristics.

Accurately estimating vehicle emissions is crucial for effective air quality management. As key data for emission inventory construction, emission factors (EFs) are influenced by vehicle usage characteristics and experience deterioration. Current deterioration models often employ single-factor approaches based on vehicle age or accumulated mileage, which fail to capture the effects of varying usage intensities within the same mileage or age intervals.

A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment.

Floods are the most destructive, widespread, and frequent natural hazards. The extent of flood events is accelerating in the context of climate change, where flood management and disaster mitigation remain important long-term issues. Different studies have been utilizing data and images from various types of sensors for mapping, assessment, forecasting, early warning, rescue, and other disaster prevention and mitigation activities before, during, and after floods, including flash floods, coastal floods, and urban floods.

Effect modifications of parents' age at childbirth on association between ambient particulate matter and children obesity.

Background: There is limited evidence regarding the modifying effects of parents' age at childbirth on the relationship between air pollution and obesity in plateau areas. This study aimed to explore the association between particulate matter (PM) and child obesity, specifically investigating whether parents' age at childbirth could modify this relationship in the Tibetan plateau, China.

Methods: Satellite-based random forest models were used to estimate the concentrations of PM (particulate matter with aerodynamic diameters ≤ 2.

Inclusive leadership, self-efficacy, organization-based self-esteem, and intensive care nurses' job performance: A cross-sectional study using structural equation modeling.

Background: The job performance of intensive care nurses is critical to the treatment and recovery of critically ill patients. Inclusive leadership, self-efficacy and organization-based self-esteem (OBSE) are important psychosocial factors affecting job performance. However, few studies have explored the relationships among these factors in critical care nurses.

Ambient air pollution exposure, plasma metabolomic markers, and risk of type 2 diabetes: A prospective cohort study.

Background: Both air pollution (AP) and impaired lipid metabolism contribute to type 2 diabetes (T2D). However, little is known about the detailed associations of AP to lipidomic markers and the specific lipid metabolomic profile that mediates the impact of AP on incident T2D. We aimed to examine the associations between long-term AP exposure, plasma metabolomic markers, and incident T2D, and subsequently determine the lipid metabolomic profile that mediates the relationship between AP and T2D.

Advantages and disadvantages of targeting senescent endothelial cells in cardiovascular and cerebrovascular diseases based on small extracellular vesicles.

Introduction: With the growth of the aging population, age-related diseases have become a heavy global burden, particularly cardiovascular and cerebrovascular diseases (CVDs). Endothelial cell (EC) senescence constitutes an essential factor in the development of CVDs, prompting increased focus on strategies to alleviate or reverse EC senescence.

Areas Covered: Small extracellular vesicles (sEVs) are cell-derived membrane structures, that contain proteins, lipids, RNAs, metabolites, growth factors and cytokines.

A predictive model for secondary central nervous system infection after craniotomy based on machine learning.

To analyze the risk factors of secondary Central nervous system infections (CNSIs) after craniotomy, and to establish an individualized predictive model for CNSIs risk. The independent risk factors were screened by univariate and multivariate logistic regression analysis. Logistic regression, naive bayes, random forest, light GBM and adaboost algorithms were used to establish predictive models for secondary CNSIs after craniotomy.

Lactobacillus rhamnosus GG and Bifidobacterium animalis subsp. lactis BB-12 promote infected wound healing via regulation of the wound microenvironment.

Infected wounds can result in complex clinical complications and delayed healing, presenting a significant global public health challenge. This study explored the effects of topical application of two probiotics, Lactobacillus rhamnosus GG (LGG) and Bifidobacterium animalis subsp. lactis BB-12, on the microenvironment of infected wounds and their impact on wound healing.

A cross-sectional survey on COVID-19 phobia and its influencing factors among undergraduate nursing students.

Background: The COVID-19 pandemic has significantly impacted the psychological well-being of undergraduate nursing students in China. It is vital to have an understanding of their COVID-19 phobia and its predictors, especially during transitions in public health policy.

Objective: This study aims to evaluate the situation and factors contributing to COVID-19 phobia among nursing students in Southwestern China.

Discrepancies in precipitation changes over the Southwest River Basin of China based on ISIMIP3b.

Selecting appropriate global climate models (GCMs) is crucial for minimizing uncertainty in regional climate projections under future scenarios. Previous studies have predominantly assessed the modeling capability of GCMs for regional precipitation climatology and its long-term patterns based on annual and seasonal precipitation data. Building upon these, we primally evaluated the performance of five GCMs from phase 3b of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b) in simulating precipitation concentration and its variations in the Southwest River Basin (SWRB) of China using the precipitation concentration index (PCI).

Assessments of various precipitation product performances and disaster monitoring utilities over the Tibetan Plateau.

The Tibetan Plateau, often referred to as Asia's water tower, is a focal point for studying spatiotemporal changes in water resources amidst global warming. Precipitation is a crucial water resource for the Tibetan Plateau. Precipitation information holds significant importance in supporting research on the Tibetan Plateau.

Rescue path planning for urban flood: A deep reinforcement learning-based approach.

Urban flooding is among the costliest natural disasters worldwide. Timely and effective rescue path planning is crucial for minimizing loss of life and property. However, current research on path planning often fails to adequately consider the need to assess area risk uncertainties and bypass complex obstacles in flood rescue scenarios, presenting significant challenges for developing optimal rescue paths.

Predicting the impact of climate change on crop water footprint using CMIP6 in the Shule River Basin, China.

Quantitatively predicting the impacts of climate change on water demands of various crops is essential for developing measures to ensure food security, sustainable agriculture, and water resources management, especially in arid regions. This study explored the water footprints (WFs) of nine major crops in the middle and downstream areas of Shule River Basin, Northwest China, from 1989 to 2020 using the WF theory and CROPWAT model and predicted the future WFs of these crops under four emission and socio-economic pathway (SSPs-RCPs) scenarios, which provides scientific support for actively responding to the negative impacts of climate change in arid regions. Results indicated: (1) an increasing trend of the overall crop WF, with blue WF accounting for 80.

Enhancing dynamic flood risk assessment and zoning using a coupled hydrological-hydrodynamic model and spatiotemporal information weighting method.

Climate change and intensified human activities are exacerbating the frequency and severity of extreme precipitation events, necessitating more precise and timely flood risk assessments. Traditional models often fail to dynamically and accurately assess flood risks due to their static nature and limited handling of spatiotemporal variations. This study confronts these challenges head-on by developing a novel coupled hydrological-hydrodynamic model integrated with a Block-wise use of the TOPMODEL (BTOP) and the Rainfall-Runoff-Inundation (RRI) model.

Impact of the 2008 7.9 Great Wenchuan earthquake on South China microplate motion.

Tectonic plate motions drive the earthquake cycle, as they result in the slow accrual and sudden release of energy along plate boundaries. Steadiness of plate motions over the earthquake cycle is a central tenet of the plate tectonics theory and has long been a main pillar in models of earthquake genesis, or of plate-margins seismic potential inferred from slip-deficit estimates. The advent of geodesy in the geosciences and the availability of multi-year-long series of position measurements permit tracking the motions of tectonic plates from before to after the time of significant seismic events that occur along their margins.