Predicting sorption of organic pollutants on soils with interpretable machine learning.

The sorption of organic pollutants (OPs) on soils plays a critical role in determining the environmental fate and transport of these compounds, which has been extensively studied. However, the complex nonlinear relationships between adsorption capacity and multiple influencing factors, as well as the relative contributions of these factors to adsorption behavior, remain inadequately understood. This study develops five machine learning (ML) models-support vector machine (SVM), deep neural networks (DNN), extreme gradient boosting (XGBT), random forest (RF), and gradient boosting decision tree (GBDT)-using a dataset of 352 data points from previous studies to predict OPs sorption on soils based on multiple factors.

Nanozyme colorimetric sensor array-based Au as an electron bank facilitated surface charge redistribution of CeO for on-site detection and discrimination of sulfur-containing metal salts.

Developing a highly efficient array-based sensing platform for sulfur-containing metal salt (SCM) analysis is imperious due to its potential to harm the environment and human health. Herein, we fabricated a ternary channel colorimetric sensor array technique to monitor multiple SCMs simultaneously, depending on the Au nanoparticle-loaded CeO nanobelt (Au/CeO) heterostructure with excellent peroxidase-like (POD-like) activity. The results of XPS and DFT calculations revealed that Au NPs as an electron bank can promote the charge redistribution on the surface of CeO.

Quercetin-Loaded Ginkgo Starch Nanoparticles: A Promising Strategy to Improve Bioactive Delivery and Cellular Homeostasis in Functional Foods.

Quercetin (Qc) is a natural bioactive compound derived from plants, with strong anti-inflammatory and antioxidant properties. However, its extreme water insolubility limits its bioavailability and practical utility. To address this, quercetin was encapsulated in ginkgo-derived starch nanoparticles (SNPs) to enhance solubility and stability.

Preparation of Highly Antibacterial MXene Nanofiltration Membranes and Investigation of Their Separation Performance.

In this study, polyethersulfone (PES)/sulfonated polyethersulfone (SPES) composite nanofiltration membranes doped with different contents of monolayer titanium carbide nanosheets (TiCT) were prepared by the nonsolvent induced phase inversion (NIPS) method. The effects of TiCT on membrane structure, separation performance and antibacterial activity were investigated systematically. The results demonstrated that the viscosity of the casting solution increased significantly with the increasing content of TiCT.

Artificial intelligence-assisted method of structural health monitoring of subway shield tunnel based on insulation degradation location.

Stray current leakages inevitably arise to seriously threaten the reliability of the subway tunnel structure and third-party system through electrochemical corrosion. Location of stray current leakage provides novel approach to mitigate stray current corrosion and valid guidance for maintenance of subway tunnel. The present study is dedicated to develop an integrated network-based method for locating the insulation degradation in subway tunnel.

Modulating Optoelectronic Performance Through Strategic Chlorine Substitution in Diketopyrrolopyrrole-Based Conjugated Polymers.

Chlorinated conjugated polymers offer a comparable and cost-effective alternative to fluorinated counterparts in organic electronics, yet a versatile and strategic regulation and optimization approach of their organic field-effect transistors (OFETs) performance remains underexplored. Herein, we report the rational design and synthesis of three chlorinated diketopyrrolopyrrole (DPP)-based copolymers (, , and ), and reveal the relationship between the molecular structure and OFETs performance. It was found that the reduction of chlorine in delivers attenuated hole mobilities of 0.

Laminated Au-TiO/C Nanozyme for Ultrasensitive Detection of Cholesterol and Enhanced Bactericides.

Cholesterol, the primary component of cell membranes, plays a critical role in wound healing and antibacterial defense. Recently, various reactive oxygen species-mediated strategies have been developed for disinfecting drug-resistant microorganisms. However, development of low-cost cholesterol consumption-based enzyme-mimicking platforms with high antibacterial efficacy remains a significant challenge.

Study on the treatment of livestock and poultry wastewater using algae-bacteria symbiotic system: effect of inoculation proportion and performance.

In order to solve the problems of poor tolerance of traditional algal-bacterial symbiosis system to high ammonia wastewater and biomass recovery, a new symbiosis system combining biological agents of nitrifying bacteria and ordinary was proposed. The results showed that adjusting the volume ratio of algae and bacteria had an effect on the wastewater treatment performance, microalgae growth and flocculation effect. At the optimal algal-bacterial volume ratio of 1:3, the TN, -N and COD removal rates were 50%, 70%and 83%, respectively.

The impact of teachers' motivating style and student-teacher relationships on adolescents' class participation: The indirect role of learning motivation.

In today's competitive society, education's importance is widely recognized. Adolescence is a crucial stage during which individuals experience significant physical and mental growth and form positive learning attitudes. As society's future drivers, adolescents' learning and class participation are vital for personal growth and social progress.

South China sea issue and Southeast Asian countries' perception of China's image: An empirical study based on GDELT big data.

How does the South China Sea issue affect China's image in Southeast Asian countries? Has it diminished Southeast Asian countries' perception of China? Based on the Global Database of Events, Language, and Tone (GDELT) from 2010 to 2024, this study empirically examines the impact of the South China Sea issue on Southeast Asian countries' perception of China's image using a panel multiple linear regression model. The empirical results show a significant positive correlation between the South China Sea issue and Southeast Asian countries' perception of China's image. Specifically, the positive impact of verbal events, material events, and the scale of events related to the South China Sea significantly enhances the positive evaluation and recognition of China among Southeast Asian countries.

In-Situ Dynamic Compensation Strategy Enables Jahn-Teller Effect Suppression in Zn-Doped Dual-Active-Site Copper Hexacyanoferrate Cathodes for High-Energy and Ultra-Stable Ammonium-Ion Storage.

Copper hexacyanoferrate (CuHCF) with 3D channels and high discharge plateau is widely recognized as a highly promising cathode material for ammonium-ion (NH ) storage. However, the practical application of CuHCF has faced challenges due to limited capacity and structural instability, primarily arising from single active site and serious Jahn-Teller distortions. Herein, an innovative in-situ dynamic compensation strategy is reported to prepare Zn-doping dual-active-site CuHCF (ZnCuHCF) as high-energy and ultrastable cathode materials for NH storage.

An efficient and precise (micro)plastic identification method: feature infrared spectra extraction based on EIS-VIP-CARS and ANN modeling.

Understanding microplastics' (MPs) ecological impact necessitates their precise identification. To address the issue of the competitive adaptive reweighted sampling (CARS) algorithm extracting numerous feature wavenumber points (FWPs) that often miss transmittance peaks (TPs), resulting in high computational load and low accuracy in artificial neural network (ANN) models, this study introduces a novel approach. Initially, the equal interval sampling (EIS) method is employed to capture the main information of the full spectra.

Interfacial effects on metal-organic frameworks for boosting electrocatalytic reactions.

Metal-organic framework (MOF) materials exhibit great potential in the field of electrocatalysis due to their high specific surface area, tunable pore structures, and abundant active sites. However, further enhancement of their electrocatalytic performance is often limited by factors such as electron transport efficiency, accessibility of active sites, and interfacial reaction kinetics. Interface engineering strategies have been proposed as a promising strategy for modifying MOF-based catalysts for optimizing their catalytic performance.

Flue gas desulfurization gypsum mineralization in waste Lye medium at pilot scale.

CO capture, utilization and sequestration technology is currently a global research hotspot with increasing CO emission and rising atmospheric temperatures. Flue gas desulfurization gypsum (FGDG) was used to realize CO mineralization in waste NaOH lye in a pilot scale bubble tower. The effects of the ionic strength, CO flow rate, reaction temperature, and liquid level in the reactor on the properties of the mineralization products and the CO mineralization efficiency were investigated using thermogravimetric analysis, X-ray diffraction (XRD), scanning electron microscopy (SEM), and particle size analysis.

Selective Oxidation Cleavage of C-C Bonds between Lignin Aromatic Units via Phosphomolybdic Acid-Ionic Liquid.

Lignin, the most abundant renewable resource of aromatics in nature, is recognized as an alternative to fossil-based fuels and chemicals. In this study, a phosphomolybdic acid-ionic liquid (PMA-IL) [BSHMIM]HPMoO was synthesized and used as a catalyst for further oxidative depolymerization of extracted lignin to prepare valuable chemicals. Under optimized conditions, the conversion of lignin reached 61.

Leveraging AI-enabled mobile learning platforms to enhance the effectiveness of English teaching in universities.

The AI era has ushered in a new wave of opportunities for enhancing classroom education, particularly in the realm of higher education. This study investigates the integration of AI and mobile learning technologies to promote innovation and reform in education. It explores how AI-driven platforms, using soft computing networks, can improve students' critical thinking skills and foster deeper engagement with academic subjects.

Impact of exterior envelope thermal performance on energy demand and optimization strategies for university teaching-office buildings.

It is very different from that of ordinary buildings due to the unique operational characteristics of university teaching-office buildings, and the energy-saving potential is huge, among them, the building's exterior envelope is an important factor in its energy loss. It is an important basis for building energy conservation to explore the influence of the thermal parameter of the building exterior envelope on energy consumption from the perspective of thermal theory. Meanwhile, most of the buildings are old in university, limited by the actual conditions, studying the energy-saving optimization scheme from the main influencing factors and actual characteristics is a prerequisite for achieving high efficiency and energy saving.

Visible-Light-Driven Photocatalytic Degradation of Xanthate in Flotation by g-CN/ZnInS Heterojunction: Experimental and DFT Studies.

Graphitic carbon nitride (g-CN) and zinc indium sulfide (ZnInS) were combined to form CN/ZIS composite materials via a hydrothermal method. The CN/ZIS composites were extensively characterized before they were used for photocatalytic degradation of sodium isobutyl xanthate (SIBX). Results revealed that 3CN/ZIS outperformed other materials, as evidenced by SIBX degradation efficiency of about 8.

Polymer-Guided Exfoliation, Microstructure, Thermal Conduction, and Mechanical Behaviors of Boron Nitride Nanosheets.

The size and surface properties of individual nanomaterials significantly influence the microstructures and the performance of their assemblies. Herein, we demonstrated that when using polymeric solutions as ball-milling media of hexagonal boron nitride (-BN), the molecular structures of the employed polymers would have significant influences on the lateral sizes, surface charges, and attached polymer kinds and contents of the exfoliated boron nitride nanosheets (BNNSs), which in turn determine the microstructures and thermal conductivities (TCs) of the BNNS-based films. The polymers that have high binding energies and dipole-dipole interactions with -BN are conducive to peeling off large-area BNNSs, but those having strong hydrogen bonding interactions with -BN can attach more molecular chains on the exfoliated BNNSs and form dense and highly horizontally oriented structures in assembled BNNS films, of which the TCs are balanced by the lateral sizes, compactness, horizontal orientation, and interfacial interactions of the nanosheets.

The interpretable health condition monitoring method of gear transmission system embedded in feature cloud-guided hypergraph structure under the extremely small-sample background.

Addressing the condition monitoring challenges faced by gearboxes under extremely small-sample conditions, this study proposes an interpretable hypergraph discriminative embedding approach based on feature cloud augmentation. Specifically, a supervised feature learning framework based on hypergraphs is first established in this study, which effectively maps the raw health features of gearboxes into an intuitive and low-dimensional manifold space. This transformation facilitates the extraction of highly discriminative feature representations for various health conditions.

Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems.

Traditional user authentication mechanisms in information systems, such as passwords and biometrics, remain vulnerable to forgery, theft, and privacy breaches. To address these limitations, this study proposes a two-factor authentication framework that integrates Channel State Information (CSI) with conventional methods to enhance security and reliability. The proposed approach leverages unique CSI variations induced by user-specific keystroke dynamics to extract discriminative biometric features.

TA-APTES Coating Facilitated Secondary Reactions for Synthesis of Multifunctional Porous Melamine Sponge and Application in Wastewater Treatment.

Secondary reactions induced by functional surface coating are of critical significance and have attracted substantial interest, as the surface coating can function as a versatile platform for designing multifunctional coatings by tailoring the surface performance. The surface coating incorporated tannic acid, and 3-aminopropyltriethoxysilane (TA-APTES) contains plentiful nanospheres with secondary reaction sites, which is favorable for surface modification. In this research, a TA-APTES coating with a unique hierarchical structure was grown in situ on the skeleton of a porous melamine sponge under mild conditions.

The efficacy of the theory of planned behaviour and value-belief-norm theory for predicting young Chinese intention to choose green hotels.

Although hotels have begun to pay more attention to green practices in providing products and services to satisfy guests' green needs, the percentage of guests visiting green hotels is still low. Researchers undervalue the connection between consumers' values, attitudes, norms, and intentions to stay at green hotels. Recently, scholars suggested that the attitude-intention gap can be closed by combining the theory of planned behaviour and the value-belief-norm theory.

A Carboxylate-based Hydrophilic Organic Photovoltaic Catalyst with a Large Molecular Dipole Moment for High-Performance Photocatalytic Hydrogen Evolution.

Achieving ultrafast dissociation of photogenerated excitons and efficient charge transport within the photocatalyst is a fundamental issue. Additionally, enhancing the interaction between semiconductors and water is crucial for efficient photocatalytic water splitting. Herein, we synthesized a carboxylate-based hydrophilic polymer, hPTB7-Th.

Regulatory roles of an sRNA derived from the 5´ UTR and sequence internal to A in PAO1.

Unlabelled: Several key virulence factors of are regulated by quorum-sensing systems, small noncoding RNAs (sRNAs), and environmental stress, leading to a high mortality rate. Our previous studies indicated that the alkaline phosphatase LapA regulated PAO1 biofilm formation in a chronic wound model established with porcine skin explants. Notably, one particular sRNA located upstream of the gene was highly expressed in the model.