Simultaneous monitoring of creatinine and urea in diversified clinical samples based on SERS-active PDMS-flower-like ZIF-67@Ag nanoparticles.

The sensitive, efficient, and simultaneous assay of creatinine and urea in different body fluid is crucial for the daily detection and treatment of chronic kidney disease. Here, we exploited a versatile composite surface enhanced Raman scattering (SERS) substrate of polydimethylsiloxane (PDMS)-flower-like ZIF-67@Ag nanoparticles (NPs) based on simple in-situ growth and ion sputtering strategies. The plasmonic Ag NPs assembled on the three-dimensional anisotropic ZIF-67 matrix, facilitating numerous resonant electromagnetic "hotspots".

High level of initial Aspergillus fumigatus-specific IgE links increased risk of exacerbation in allergic bronchopulmonary aspergillosis patients.

Background: Elevated Aspergillus fumigatus (A. fumigatus)-specific Immunoglobulin E (IgE) is recognized as an essential diagnostic criterion for allergic bronchopulmonary aspergillosis (ABPA). However, it remains unknown whether initial A.

A post-marketing disproportionality analysis of the safety of ribociclib based on the FDA Adverse Event Reporting System.

Background: Although there are reports of adverse events (AEs) of cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors, the safety of ribociclib alone has not yet been comprehensively evaluated in real-world clinical practice.

Objectives: To investigate the overall real-world safety profile of ribociclib by mining data from the FDA Adverse Event Reporting System (FAERS).

Design: A retrospective disproportionality analysis was conducted based on the FAERS database.

Food-grade rapeseed cake particles: Production, physicochemical characteristics, and emulsifying properties.

Rapeseed cake is rich in dietary fibers and proteins, but is predominantly used as fertilizer, with limited utilization in other applications. This study aimed to develop a food-grade holo-cellulose rapeseed cake fibrous particles stabilizer using hush pre-treatment (sequential alkali-acid, and heat), followed by ultrasonic cavitation (USC) or high-pressure microjet (HPM) processing. The pretreatment improved particle suspension stability (ζ-potential: -1.

Status and risk factors for depression, anxiety, and insomnia symptoms among adolescents in the post-pandemic era.

Background: Owing to their vulnerability to public health crises, adolescents' mental health status, and related risk factors in the post-pandemic era in China require examination. This study aimed to lay a foundation for subsequent interventions and mental disorder prevention among adolescents.

Methods: An anonymous online survey was conducted January 8-18, 2023.

Association of short-term exposure to ambient air pollution and temperature with bronchiectasis mortality: a nationwide time-stratified case-crossover study.

Background: Ambient pollution and non-optimal temperature are major risk factors for respiratory health. However, the relationships between short-term exposure to these factors and bronchiectasis mortality remain unknown.

Methods: A nationwide, time-stratified case-crossover study across Mainland China was conducted from 2013 to 2019.

Long-Term Efficacy of an AI-Based Health Coaching Mobile App in Slowing the Progression of Nondialysis-Dependent Chronic Kidney Disease: Retrospective Cohort Study.

Background: Chronic kidney disease (CKD) is a significant public health concern. Therefore, practical strategies for slowing CKD progression and improving patient outcomes are imperative. There is limited evidence to substantiate the efficacy of mobile app-based nursing systems for decelerating CKD progression.

Postoperative Bleeding in Children With Tonsillectomy: A Retrospective Cohort.

Background: It is necessary to evaluate the risk factors of secondary bleeding after tonsillectomy in children, to provide reference for clinical children management and care.

Methods: Children who underwent tonsillectomy from January 1, 2018, to December 31, 2022, in our hospital were retrospectively included. The characteristics of children with and without secondary bleeding were analyzed.

Fractional exhaled nitric oxide, a potential biomarker for evaluating glucocorticoids treatment and prognosis in allergic bronchopulmonary aspergillosis.

Background: Allergic bronchopulmonary aspergillosis (ABPA) is characterized by enhanced T2 inflammatory response. Fractional exhaled nitric oxide (FeNO) measurement has been used as a valuable tool in predicting the development and management of asthma, another typical T2 inflammation. However, the clinical significance of FeNO in ABPA remains unclear.

Root endophyte-mediated alteration in plant H2O2 homeostasis regulates symbiosis outcome and reshapes the rhizosphere microbiota.

Endophytic symbioses between plants and fungi are a dominant feature of many terrestrial ecosystems, yet little is known about the signaling that defines these symbiotic associations. Hydrogen peroxide (H2O2) is recognized as a key signal mediating the plant adaptive response to both biotic and abiotic stresses. However, the role of H2O2 in plant-fungal symbiosis remains elusive.

Unravelling the Impact of Metal Dopants and Oxygen Vacancies on Syngas Conversion over Oxides: A Machine Learning-Accelerated Study of CO Activation on Cr-Doped ZnO Surfaces.

As a critical component of the OX-ZEO composite catalysts toward syngas conversion, the Cr-doped ZnO ternary system can be considered as a model system for understanding oxide catalysts. However, due to the complexity of its structures, traditional approaches, both experimental and theoretical, encounter significant challenges. Herein, we employ machine learning-accelerated methods, including grand canonical Monte Carlo and genetic algorithm, to explore the ZnO(1010) surface with various Cr and oxygen vacancy (OV) concentrations.

DEL-1, as an anti-neutrophil transepithelial migration molecule, inhibits airway neutrophilic inflammation in asthma.

Background: Neutrophil migration into the airways is a key process in neutrophilic asthma. Developmental endothelial locus-1 (DEL-1), an extracellular matrix protein, is a neutrophil adhesion inhibitor that attenuates neutrophilic inflammation.

Methods: Levels of DEL-1 were measured in exhaled breath condensate (EBC) and serum in asthma patients by ELISA.

DeePMD-kit v2: A software package for deep potential models.

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features, such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, DP-range correction, DP long range, graphics processing unit support for customized operators, model compression, non-von Neumann molecular dynamics, and improved usability, including documentation, compiled binary packages, graphical user interfaces, and application programming interfaces.

Comprehensive Study of Oxygen Vacancies on the Catalytic Performance of ZnO for CO/H Activation Using Machine Learning-Accelerated First-Principles Simulations.

Oxygen vacancies (OVs) play important roles on any oxide catalysts. In this work, using an investigation of the OV effects on ZnO(101̅0) for CO and H activation as an example, we demonstrate, via machine learning potentials (MLPs), genetic algorithm (GA)-based global optimization, and density functional theory (DFT) validations, that the ZnO(101̅0) surface with 0.33 ML OVs is the most likely surface configuration under experimental conditions (673 K and 2.

The relationship between triglyceride, cholesterol and lipoprotein levels, and immune responses to hepatitis B vaccine.

Cholesterol homeostasis disorder and hypertriglyceridemia, as common metabolic conditions, have rarely been reported to affect the immune responses to the hepatitis B vaccine. Our study found that higher high-density lipoprotein (HDL) level showed a significant relationship with positive anti-HBs results (cOR = 1.479, 95% CI: 1.

Rheological and microstructural properties of polysaccharide obtained from the gelatinous Tremella fuciformis fungus.

The gelatinous feature of Tremella fuciformis polysaccharide (TFP) has attracted growing interest in its application as a thickening agent in the food industry. This study aims to reveal the microstructure and rheological properties of TFP. Results showed that TFP randomly distributed in aqueous solutions in an irregular worm-like morphology and formed a more extensive entangled network and stiffer chains at higher concentration solutions.

Achieving Theory-Experiment Parity for Activity and Selectivity in Heterogeneous Catalysis Using Microkinetic Modeling.

ConspectusMicrokinetic modeling based on density functional theory (DFT) energies plays an essential role in heterogeneous catalysis because it reveals the fundamental chemistry for catalytic reactions and bridges the microscopic understanding from theoretical calculations and experimental observations. Microkinetic modeling requires building a set of ordinary differential equations (ODEs) based on the calculation results of thermodynamic properties of adsorbates and kinetic parameters for the reaction elementary steps. Solving a microkinetic model can extract information on catalytic chemistry, including critical reaction intermediates, reaction pathways, the surface species distribution, activity, and selectivity, thus providing vital guidelines for altering catalysts.

Accelerating Metadynamics-Based Free-Energy Calculations with Adaptive Machine Learning Potentials.

There is an increasing demand for free-energy calculations using ab initio molecular dynamics these days. Metadynamics (MetaD) is frequently utilized to reconstruct the free-energy surface, but it is often computationally intractable for the first-principles calculations. Machine learning potentials (MLPs) have become popular alternatives.

Perspective on computational reaction prediction using machine learning methods in heterogeneous catalysis.

Heterogeneous catalysis plays a significant role in the modern chemical industry. Towards the rational design of novel catalysts, understanding reactions over surfaces is the most essential aspect. Typical industrial catalytic processes such as syngas conversion and methane utilisation can generate a large reaction network comprising thousands of intermediates and reaction pairs.

The Entire Mitochondrial Genome of Macrophthalmus abbreviatus Reveals Insights into the Phylogeny and Gene Rearrangements of Brachyura.

Brachyuran crabs comprise the most species-rich clades among extant Decapoda and are divided into several major superfamilies. However, the phylogeny of Brachyuran remains controversial, comprehensive analysis of the overall phylogeny is still lacking. Complete mitochondrial genome (mitogenome) can indicate phylogenetic relationships, as well as useful information for gene rearrangement mechanisms and molecular evolution.