Amphiphilic Janus nanoparticles for effective foam fractionation of perfluorooctanoic acid (PFOA): Effect of modifier type.

Perfluorooctanoic acid (PFOA), a persistent organic pollutant, is gaining attention for its detrimental effects on human health and ubiquity in aquatic environments. Herein, we introduce a novel foam fractionation method that uses Janus nanoparticles as foam stabilizers and collectors for the efficient removal and enrichment of PFOA from water. The amphiphilic Janus-SiO nanoparticles (SNPs) were successfully synthesized through anisotropic modification with perfluoroalkylsilanes and aminosilanes.

Design of S-O "highway" at Z-scheme heterojunction interface for efficient degradation treatment of lomefloxacin and actual pharmaceutical wastewater.

The charge transfer path and the resistance generated at the interface were crucial factors affecting the carrier separation efficiency in heterojunction photocatalysts. Herein, a novel Z-scheme BiSnO/MoS heterojunction with covalent S-O interface was successfully synthesized by calcination and hydrothermal methods. Experimental evidence demonstrated that the prepared BiSnO/MoS composite exhibited high photocatalytic efficiency for the degradation of lomefloxacin, and the antibacterial effects of lomefloxacin and its degradation products decreased during the process.

The NHC-Catalyzed Enantio- and Diastereoselective [2 + 3] Annulation of Phthalide-Derived Alkenes with Enal Access to Bispiroheterocyclic Compounds Bearing Three Vicinal Stereogenic Centers.

The N-heterocyclic carbene (NHC)-catalyzed enantio- and diastereoselective [2 + 3] annulation of alkenes derived from phthalide and isatin with α,β-unsaturated aldehydes resulting in the construction of bispiro-phthalide-cyclopentanone-oxindoles is demonstrated. The reaction proceeds via the generation of NHC-bond homoenolate intermediates from enals and NHC, which on interception with alkenes derived from phthalide and isatin afford bispiroheterocyclic compounds bearing three contiguous stereogenic centers in moderate to good yields with high enantio- and diastereoselectivities. The selective reduction of the carbonyl group facilitated the synthesis of bispiro-phthalide-cyclopentanol-indoline with a single diastereomer containing five stereocenters.

Comparing copper and tin-based medium-entropy alloy oxide for producing hydrogen linking to waste polyethylene terephthalate (PET) upcycling.

Electrocatalytic water splitting for hydrogen production presents a promising solution to the global energy crisis. The high-value recycling and utilization of waste polyethylene terephthalate (PET) presents an environmental-friendly solution to address the "white pollution" caused by plastics. How to link the two reactions? Significantly, in a PET hydrolysate solution, the hydrogen evolution reaction (HER) occurs at the cathode, while the ethylene glycol oxidative reaction (EGOR) occurs at the anode, producing hydrogen and formic acid (FA), respectively.

Robust Line Feature Matching via Point-Line Invariants and Geometric Constraints.

Line feature matching is a crucial aspect of computer vision and image processing tasks, attracting significant research attention. Most line matching algorithms predominantly rely on local feature descriptors or deep learning modules, which often suffer from low robustness and poor generalization. In response, this paper presents a novel line feature matching approach grounded in point-line invariants through spatial invariant relationships.

Evaluating the Efficacy of Music-Based Therapy in Children and Adolescents with Physical and Mental Health Challenges: A Systematic Review.

Music therapy (MT) has gained recognition as an effective intervention for addressing both psychological and physiological challenges among children and adolescents. Research consistently highlights its therapeutic potential in managing various health conditions. This systematic review consolidates evidence from 14 studies involving 2,789 participants, assessing the efficacy of music-based interventions in enhancing mental and physical health outcomes.

Detection of composite heavy metal content in rape leaf using feature clustering and hyperspectral imaging technology.

Exploring composite heavy metal content in rape is significant for crop growth and human health. The focus of this paper was to assess the viability of detection of composite heavy metal content in rape leaf utilizing hyperspectral imaging technology (HSI). Furthermore, a hybrid feature selection based on feature clustering and symmetric uncertainty (HFCSU) was proposed for spectral data to reduce dimensionality.

Metal-organic double layer to stabilize selective multi-carbon electrosynthesis.

Stable operation of the gas diffusion electrodes is key for industrial-scale electrochemical CO reduction (eCOR). To enhance the electrolytic stability, we shield the Cu-coated gas diffusion electrode with a polycationic sheath via electrospinning and propose a Metal-Organic Double Layer (MODL) scheme to depict the triphasic interface. The as-fabricated electrode exhibits a high multi-carbon Faradaic efficiency of 91.

Mimic biological flapping motion for a two-dimensional wing by reinforcement learning.

Birds, insects, bats and fish demonstrate exceptional locomotion efficiency through adaptive flapping motions, offering a wealth of inspiration for bio-inspired propulsion systems. However, traditional research often relies on simplified motion models with limited degrees of freedom, which may not fully capture the complexity, adaptability, and efficiency of natural movement. In this study, we propose an adaptive motion optimization framework based on reinforcement learning (RL), aiming to address the aforementioned challenges.

An efficient ECL aptasensor based on resonance energy transfer between NCDs@AgPO and Cu-doped Cu: Eu MOF for the detection of diethylstilbestrol.

As a synthetic estrogen, diethylstilbestrol (DES) residues in water pose a threat to human health. In this work, a novel electrochemiluminescence resonance energy transfer (ECL-RET) aptamer sensor based on NCDs@AgPO as a resonance energy transfer donor and Cu doped Eu MOF (Cu: Eu MOF) as an efficient resonance energy transfer acceptor for the detection of diethylstilbestrol (DES) was proposed for the first time. The aptamer sensor uses AgPO nanoparticles loaded with nitrogen-doped carbon quantum dots (NCDs) as the ECL emitter, which improves the electron transfer efficiency of the sensor and promotes the generation of SO radicals, thereby improving the luminescence intensity and stability of the ECL sensor.

Co-occurrence and risk emission potential of antibiotics, antibiotic resistance genes, and heavy metals in concentrated leachate in China.

Membrane-driven process was widely applied for advanced treatment of leachate to achieve the final limitation, but around 10-million-ton concentrated leachate (CL) generated annually has become a hot potato. CL properties and their potential risks were overlooked, and here, we filled in these blanks based on samples from seven provinces from traditional and emerging pollutants perspective. Cd, Pb and Cr were the main contributors for hazardous waste identification with the concentration of 0.

Traffic flow prediction based on spatial-temporal multi factor fusion graph convolutional networks.

Recently, graph convolutional networks (GCNs) have become one of the important models for solving traffic flow prediction, but existing models still have two problems: (1) insufficient information utilization: there is a lack of adequate consideration of the relevant characteristic information between the original data flows. Ignoring external weather information. Only considering the interaction influence of limited surrounding nodes on the target node fails to effectively characterize the joint spatial-temporal correlation; (2) receptive field limitation: the existing graph convolution network model may cause the network node features to be too smooth and lose the original information when analyzing the spatial features extracted by the filter used in the traffic flow data.

Fluorescence hyperspectral imaging for detection of selenium content in lettuce leaves under cadmium-free and cadmium environments.

This study aimed to investigate the feasibility of detecting selenium content in lettuce leaves under complex environments (cadmium-free and cadmium environments) using fluorescence hyperspectral imaging (FHSI). Accordingly, multimodal difference-aware competitive adaptive reweighted sampling (MDCARS) was proposed to select cadmium-related features in complex environments and was integrated with a ResNet-convolutional neural network (RCNN) for the quantitative prediction of selenium content. MDCARS selected features with superior interpretability and model verification outcomes compared with common methods, thereby highlighting its advantages for complex data sources.

A Bionic-Based Multi-Objective Optimization for a Compact HVAC System with Integrated Air Conditioning, Purification, and Humidification.

This study is dedicated to the development of a multifunctional device that integrates air conditioning, humidification, and air purification functions, aimed at meeting the demands for energy efficiency, space-saving, and comfortable indoor environments in modern residential and commercial settings. The research focuses on achieving a balance between performance, energy consumption, and noise levels by combining bionic design principles with advanced optimization algorithms to propose innovative design and optimization methods. Specific methods include the establishment and optimization of mathematical models for air conditioning, air purification, and humidification functions.

Controlled Deformation Mode and Amplitude of Liquid Crystal Actuators Through Orthogonal Light and Heat-Induced Exchanges.

Liquid crystal elastomers (LCEs) are versatile soft actuators known for their flexible texture, low density, and ability to undergo reversible deformations that mimic the behavior of skeletal muscles. These properties make them highly attractive for applications in exoskeletons, soft robotics, and medical devices. However, their functionality is typically limited to simple and discontinuous deformations.

S2*-ODM: Dual-Stage Improved PointPillar Feature-Based 3D Object Detection Method for Autonomous Driving.

Three-dimensional (3D) object detection is crucial for autonomous driving, yet current PointPillar feature-based methods face challenges like under-segmentation, overlapping, and false detection, particularly in occluded scenarios. This paper presents a novel dual-stage improved PointPillar feature-based 3D object detection method (S2*-ODM) specifically designed to address these issues. The first innovation is the introduction of a dual-stage pillar feature encoding (S2-PFE) module, which effectively integrates both inter-pillar and intra-pillar relational features.

Facile Synthesis of MoP and Its Composite Structure with Ru as an Efficient Electrocatalyst for Hydrogen Evolution Reaction in Both Acidic and Alkaline Conditions.

Developing low-cost electrocatalysts for efficient hydrogen evolution in both acidic and alkaline conditions is crucial for water-electrolytic hydrogen applications. Herein, MoP was synthesized via a simple, low-cost, and green phosphorization route. More importantly, the Ru/MoP composite prepared using the as-synthesized MoP as a reactant, which exhibited excellent catalytic activity for the hydrogen evolution reaction.

Machining characteristics and process parameter optimization of Near-dry electrical discharge milling of titanium alloy.

Titanium alloy (Ti-6Al-4V) is a difficult-to-machine material, known for its excellent physical and chemical properties. However, traditional machining methods incur high tool wear costs when processing this material. The near-dry electrical discharge milling (N-EDM) method, which removes excess material via electroerosion, mitigates the impact of titanium alloy's hardness and strength, enabling effective material cutting.

Study of electronegativity from a network perspective.

Using the undirected network from our previous paper, we constructed 5 directed networks based on 5 electronegativity scales. The direction of the edges is determined by the differences in electronegativity. We found that indegree and outdegree can be viewed as inherent chemical properties of elements.

Discrete element simulation of buzz pollination in tomato.

Buzz pollination is essential for plants which have poricidal anther dehiscence, such as tomato. Due to the lack of microscopic level observations and precise analyses of the buzz pollination process, the mechanism of tomato pollen ejection during buzz pollination is unclear. In this study, Micro-CT imaging was used to measure the internal structure and size of tomato flowers.

Parenting styles and externalizing problem behaviors of preschoolers: mediation through self-control abilities and emotional management skills.

Introduction: The detection rate of externalizing problem behaviors among Chinese children has been increasing year by year. Before the age of six, the problem behaviors that appear in children are predominantly externalizing problem behaviors. Family is the starting point for children's socialization.

Complete solidification of landfill concentrated leachate using a minimal dosage of mayenite and its reutilization for carbonyl sulfide degradation.

Landfill concentrated leachate (CL) contains high concentrations of organic pollutants, salts, and heavy metal ions. Treatment methods for CL include recharge, evaporation, and incineration; however, these processes are challenged by high load demands, treatment complexity, and limited potential for resource recovery. Herein, the mayenite-enriched calcium-aluminum oxide (CaAlO) was used to solidify CL.

Efficient and eco-friendly preparation of hydrophilic boron nitride nanosheets for enhanced filtration properties.

The exceptional properties of boron nitride nanosheets (BNNSs) render them promising for diverse applications. Nevertheless, the obstacles of effectively readying them and their restricted ability to disperse in liquids are current constraints. In this study, a simple and efficient glucose-assisted mechanochemical exfoliation method was developed to achieve simultaneous exfoliation and functionalization of BNNSs.

The key molecular mechanisms of antagonism induced by combined exposure to erythromycin and roxithromycin in Chlorella pyrenoidosa.

Emerging pollutants such as antibiotics have raised great concern in recent years, but the complex coexistence of multiple antibiotics in the environment poses a new challenge in the accurate assessment of the toxicity of antibiotics to aquatic organisms such as microalgae. In this study, the mechanism of action of a combination of erythromycin (ERY) and roxithromycin (ROX) on Chlorella pyrenoidosa was illustrated based on the physiological-biochemical response and transcriptomic analysis. The results revealed an inhibitory effect on the biomass of C.