Carrot-Derived Nitrogen-Doped Dual-Emission Carbon Dots for Ratiometric Detection of Tetracycline and Oxytetracycline.

The antibiotic contamination in aquatic environments, particularly in aquaculture systems, poses substantial risks to ecological balance and human health. To address this issue, we engineered a novel ratiometric fluorescent probe utilizing dual-emission carbon dots (D-CDs) synthesized from sustainable biomass carrot and nitrogen-rich precursors (melamine and o-phenylenediamine) through an efficient one-pot hydrothermal approach. The D-CDs exhibited dual emission peaks at 425nm and 540 nm under 370nm excitation.

Hydrogen Storage Law and Nanoscale Occurrence Mechanism of Anthracite Containing Depleted CH: Insights from Experiment and Molecular Simulation.

Hydrogen energy is pivotal for driving sustainable development and achieving deep decarbonization; yet, its storage remains a significant challenge. Notably, depleted methane reservoirs can serve as a promising large-scale solution for underground hydrogen storage (UHS). Based on adsorption experiments, Monte Carlo and molecular dynamics methods, the adsorption behavior of H and CH in anthracite and the applicability of five models were discussed.

The Influence of Embedded Properties on the Liberation Characteristics of Macerals in Subbituminous Coal.

The utilization pathways of coal macerals exhibit a significant variability. The efficient separation of active and inert components in coal is critical for realizing their high value-added applications. The liberation efficiency of coal macerals directly influences the accuracy of subsequent separation processes.

Study on Permeability and Flow Characteristics of Composite Thermosensitive Hydrogel and Its Fire Prevention and Extinguishment Performance.

This study focuses on the issues of poor fluidity, low penetration into residual coal, and suboptimal inhibition of coal spontaneous combustion associated with traditional coal mine gel fire retardants. The permeability and flow characteristics of a sodium alginate-based composite thermosensitive hydrogel, as well as its fire prevention and extinguishment performance, were investigated. The findings suggest that the thermosensitive hydrogel behaves as a pseudoplastic fluid at 40 °C and a yield-pseudoplastic fluid at 65 °C, exhibiting shear-thinning behavior with increasing shear rate.

Reconstruction of three-dimensional fractures in coal based on multidirection slicing and U-Net segmentation.

Introduction: Accurate characterization of multi-size fractures in coal is crucial for estimating its transport properties. However, the extraction of narrow microfractures in 3D voxel-type CT images is difficult, which causes the loss of connectivity in the extracted fracture network and reduces the accuracy of the predicted transport properties.

Objectives: Improving the image quality and optimizing the segmentation process to deal with the inaccuracy of fracture extraction from coal CT images.

Finite-time and fixed-time self-triggered synchronization of stochastic memristive neural networks and applications in secure communication.

The dynamic characteristics of memristive neural networks (MNNs) can be affected by multiple environmental factors. With that in mind, this paper simultaneously considers the comprehensive effects of stochastic disturbance, external input and actuator hysteresis on the MNNs. Firstly, the driving-response stochastic MNNs (SMNNs) subjected to external inputs and hysteresis are introduced, along with a class of secure communication schemes constructed based on this system.

LGMMFusion: A LiDAR-guided multi-modal fusion framework for enhanced 3D object detection.

Multi-modal data fusion plays a critical role in enhancing the accuracy and robustness of perception systems for autonomous driving, especially for the detection of small objects. However, small object detection remains particularly challenging due to sparse LiDAR points and low-resolution image features, which often lead to missed or imprecise detections. Currently, many methods process LiDAR point clouds and visible-light camera images separately, and then fuse them in the detection head.

Enhanced Thermal Transport in Aramid Composite Films via Intrinsic Interfacial Interaction and Synergistic Orientation.

The heat dissipation of high-power chips places higher demands on the thermal conductivity () of polymer-based thermal interface materials (TIMs) to ensure the stable operation of the chips. However, the interfacial thermal resistance (ITR) greatly restricts further improvement. Herein, 1D multiwalled carbon nanotubes modified with carboxyl (CNTs-) were introduced to the aramid matrix via blade coating, and a strategy of the intrinsic interfacial interaction and synergistic orientation was ingeniously adopted to enhance thermal transport.

Extraction of maize growth stages in the Sanjiang Plain of China from 2003 to 2022 and their spatio-temporal changes in response to meteorological variables.

How to quickly monitor the growth process of maize on a large scale is crucial for regional maize growth assessment, yield estimation, and farmland management. This article takes the Sanjiang Plain in Northeast China as the research area, which is the main grain production area in China. Using MODIS NDVI time series data and Savitzky Golay and Whittaker filtering techniques, a remote sensing extraction method for key growth stages of maize (i.

The impact of exercise self-efficacy on depression in firefighters: mediating effect of basic psychological needs and moderating effect of perceived social support.

Background: Firefighters are exposed to high-stress work environments and are prone to depression, which has a significant impact on their professional performance and quality of life. Although exercise self-efficacy has been suggested to potentially influence psychological wellbeing, its mechanism of action on firefighters' depression has not been clarified.

Methods: This study investigated the relationship between exercise self-efficacy and depression in firefighters and examined the mediating role of basic psychological needs and the moderating role of perceived social support.

Constraints to sustainable energy technology implementation: Insights from an emerging economy using ISM-MICMAC analysis.

The growing environmental, economic, and social challenges have compelled governments and policymakers to incorporate sustainable energy technologies. However, the development of sustainable energy technologies is hindered by various barriers in emerging economies like China. Although, previous studies attempted to investigate these barriers but there is dearth of studies determining the hierarchy ranking of the barriers.

The emotional equation: how psychosocial support boosts safety practices in the context of construction 5.0.

Background: Construction 5.0, which emphasizes human-centric technologies and improved collaboration between humans and machines in intelligent construction ecosystems, introduces distinct safety management challenges that necessitate effective emotional resource allocation strategies. This study utilizes job demands-resources theory to investigate how emotional resources are allocated for safety management by examining the relationships among safety practice, psychosocial support, safety participation, and leadership safety behavior.

Stability analysis and optimization of open pit mine slopes based on the improved Sarma method with nonhomogeneous hydraulic boundary conditions.

Although the traditional Sarma method considers the hydrostatic pressure effect, in the actual engineering, the hydraulic conditions are complex and most of them are nonhomogeneous hydraulic boundary conditions, this paper considers the nonhomogeneous hydraulic boundary conditions based on the traditional Sarma method, and based on the improved Sarma method model, the stability evaluation of the designed slope and the slope angle is carried out with the slope of the Aynak open-pit copper mine as the engineering background-optimization study. Firstly, the numerical simulation method carried out the stability analysis of the designed excavation slopes. Then the stability of the final boundary slopes was evaluated based on the improved Sarma method model.

Research on the inversion model of soil moisture content based on a novel ReMPDI index in mining areas.

The excavation of subterranean coal has led to a plethora of ecological and environmental issues, which seriously restrict the sustainable development of society. As one of the important physical indicators of soil, soil moisture content needs to be scientific, real-time, and comprehensively monitored. Due to the low efficiency of manual measurement, methods based on remote sensing data inversion have received widespread attention and in-depth research in recent years.

Molecular and microscale-level insights into the potential mobilization of toxic elements in Pb/Zn smelting contaminated soils under freeze-thaw cycles.

Freeze-thaw (F-T) cycles have significant influences on the mobilization behavior of potentially toxic elements (PTEs) in soils. However, the interactive effects of soil minerals and dissolved organic matter (DOM) on PTEs mobilization under F-T cycles remain underexplored. Therefore, this study aimed to investigated the mobilization behavior of PTEs and the composition characteristics of DOM in soils through simulated F-T cycles experiments, using fluorescence and mass spectroscopy characterization.

Geochemical Characteristics and Indicative Significance of Rare Earth Elements in the Late Permian Coal of Tucheng Mine, Guizhou Province.

Guizhou Province is an important late Permian coal-producing area in China, and the resource potential of critical metal elements in its coal urgently needs to be studied. This paper systematically analyzes the geochemical characteristics of REY (rare earth elements and Y) in the No. 12 coal seam of the Late Permian Tucheng Mine in Guizhou Province using technologies such as inductively coupled plasma mass spectrometry (ICP-MS), X-ray fluorescence spectroscopy (XRF), scanning electron microscopy with energy dispersive spectrometry (SEM-EDS), and correlation analysis and discusses the environmental indication significance of REY (rare earth elements and Y) in coal.

Can exercise regulate the relationship between noise pollution and the perception of physical and mental health among Chinese adults? An empirical study based on CGSS 2021.

Objective: To explore the relationship between noise pollution, exercise, and the perception of physical and mental health among Chinese adults, to test the moderating effect of exercise on the relationship between noise pollution and physical and mental health perception, and to provide a basis for the formulation of environmental health policies and public health policies.

Methods: Using 2,717 data points from the 2021 China General Social Survey (CGSS), data analysis was conducted using SPSS 25.0, Stata 12.

Triboelectric separation technology for recycling end-of-life wind turbine blades.

This study investigates the application of triboelectric separation technology for the efficient recovery of glass fibre-reinforced polymers (GFRPs) from wind turbine blade. Through systematic experiments, the effects of friction materials, electrode voltage and feed rate on separation efficiency were evaluated. The results demonstrate that using polymethyl methacrylate as the friction material, with an electrode voltage of 12.

Multilevel Assessments Reveal that a Novel Fungicide Benzovindiflupyr Induces Concentration- and Time- Dependent Toxicity toward .

This study investigated the toxic effects of BZF on collembolans at the individual, physiological, biochemical, and molecular levels. The results showed that the median lethal concentration (7d-LC) of BZF on collembolans under 7-day exposure was 2 μg cm. The highest chronic toxicity of BZF against collembolans was exhibited in red soil (200.

The mechanism of academic self-efficacy in the relationship between professional identity and learning engagement among university students.

University students' learning engagement is related to the quality of talent cultivation in universities, which has an important impact on their academic performance and future development. In order to explore the influence of professional identity on university students' learning engagement and the mediating role of academic self-efficacy, the University Students' Professional Identity Questionnaire, the University Students' Academic Self-Efficacy Questionnaire, and the University Students' Learning Engagement Questionnaire were used to conduct questionnaire surveys and empirical analyses of 4,125 Chinese university students. Among them, professional identity was used as a predictor, academic self-efficacy as a mediating variable, and learning engagement as an outcome variable.

An instance segmentation network for discharging carbon traces inside oil-immersed transformers with boundary and detail features enhancement.

Constrained by the closed structure, it is difficult to visually detect the insulation defects inside large oil-immersed transformers. For this issue, this paper uses a self-developed micro-robot for visual inspection. Since the defects to be detected have different shapes, large differences in size, and complex background, accurately and quickly detecting the defect target is the key for the micro-robot to complete the internal inspection.

Soil conditioning optimization of sandy pebble soil with different fine contents and prediction by machine learning.

Proper soil conditioning is critical for earth pressure balance (EPB) shield tunneling to mitigate problems such as mud cake formation and cutter headwear by enhancing muck flow plasticity, particularly in sandy pebble soils. This research investigates the effect of conditioning agents-bentonite slurry and foam-on sandy pebble soils with varying fines contents, considering both concentration and injection ratio. Slump tests were conducted to evaluate the workability of conditioned soil.

3D-Printed Fe-Ni Porous Framework Structures for Efficient and Recyclable Degradation of Azo Dyes in Wastewater.

Advanced oxidation processes offer a potent, eco-friendly solution for degrading organic wastewater. Creating high-activity and stability catalysts is crucial to addressing water pollution concerns. Nevertheless, due to constraints in their preparation, prevalent catalysts often lack satisfactory cyclic stability and pose challenges in recovery.

CO Sequestration Potential and Soil Improvement Effects by Carbon-Fixing Bacteria Isolated From Degraded Soils in Shendong Coal Mining Area Located in Northwest China.

Efficient carbon-sequestering microorganisms are crucial for enhancing soil quality and reducing carbon emissions, particularly in semiarid coal mining areas. In this study, we analyzed the soil carbon-fixing microbial taxa and pathways in the Shendong mining area via high-throughput sequencing, and concluded that their main carbon sequestering pathway is the reduced citrate cycle (rTCA cycle), which has the potential for microbial carbon sequestration. Bacterial strains with high CO sequestration efficiency were isolated and identified, and their potential for improving soil carbon storage and quality was assessed.

Comparative Evaluation of Stress Distribution and Permeability Characteristics in Bentonite Cutoff Walls Using CPTU and ABAQUS Methods.

Bentonite materials are extensively used in cutoff walls at landfill sites. This study calculates the stress and permeability characteristics of bentonite materials using the piezocone penetration test (CPTU) and ABAQUS simulations. The lateral effective stress of bentonite materials is evaluated using arching models, lateral squeezing models, and a modified lateral squeezing model.