Rapid identification of marine microplastics by laser-induced fluorescence technique based on PCA combined with SVM and KNN algorithm.

The laser-induced fluorescence technique has the advantage of fast and non-destructive detection and can be used to classify types of marine microplastics. However, spectral overlap poses a challenge for qualitative and quantitative analysis by conventional fluorescence spectroscopy. In this paper, a 405 nm excitation laser source was used to irradiate 4 types of microplastic samples with different concentrations, and a total of 1600 sets of fluorescence spectral data were obtained.

Antifouling and Bactericidal Zwitterionic Polymer Coatings with Synergistic Inhibitory and Killing Properties.

Polymeric coatings that combine resistance to adhesion ("defending") and killing ("attacking") of biocontaminants were proposed to endow the surface with nonadhesive and bactericidal capabilities. In contrast, a zwitterionic copolymer P(GMA--DMAPS) with antifouling groups ([2-(methacryloyloxy)ethyl]dimethyl-(3-sulfopropyl)ammonium hydroxide, DMAPS) and a zwitterionic/cationic copolymer P(GMA--DMAPS--DMC) with bactericidal groups ([2-(methacryloyloxy)ethyl]trimethylammonium chloride, DMC) were synthesized, of which the latter exhibited synergistic inhibitory and killing properties. The distinct feed ratios of monomers were conducted, and the optimal molar ratio was obtained.

The impact mechanism of geopolitical risks on ESG performance: The moderating effects of investor attention and government subsidies.

The impact of geopolitical risks (GPR) on enterprises is significant, yet the existing literature lacks a comprehensive understanding of how GPR affects environmental, social, and governance (ESG) performance. This study addresses this gap by analysing data from Chinese enterprises over the period 2009 to 2021. It empirically examines the impact of GPR on ESG performance and explores the underlying mechanisms.

Carbon emission of urban vehicles based on carbon emission factor correlation analysis.

The CO emission factor is the basis for analyzing vehicle CO emissions. This study establishes a correlation model between the fuel CO emission factor and the mileage-based CO emission factor using fuel consumption data, then analyzes the fuel consumption and CO emission situation of vehicles in Beijing with the established models. The main research conclusions are as follows: The proposed correlation models are effective for analyzing urban vehicle CO emissions.

Automated gradation design of natural waste gravel soil stabilized by composite soil stabilizer based on a novel DNNSS-APDM-PFC model.

The utilization of natural waste gravel soil as base course material contributes to environmental protection and carbon emission reduction. The purpose of this research is to establish a new model for automated gradation design of the composite soil stabilizer-stabilized waste gravel soil (CSSWGS). A gradation range of CSSWGS has been proposed.

Research on injection molded parts defect detection algorithm based on multiplicative feature fusion and improved attention mechanism.

Injection molded parts are increasingly utilized across various industries due to their cost-effectiveness, lightweight nature, and durability. However, traditional defect detection methods for these parts often rely on manual visual inspection, which is inefficient, expensive, and prone to errors. To enhance the accuracy of defect detection in injection molded parts, a new method called MRB-YOLO, based on the YOLOv8 model, has been proposed.

The driving effect of polycentric city network on the coordinated development of regional economy in Bohai Rim region of China.

Using social network analysis and spatial Dubin model, this study analyzes the data from the Bohai Rim Economic Zone between 2003 and 2019 and examines the driving effect and mechanism of polycentric urban networks on the regional economic coordination of the Bohai Rim Economic Zone of China from the perspective of combining agglomeration externality and network externality. The results show that: There is a positive correlation between the polycentric degree of the city network in the Bohai Rim Region and its coordinated economic development level; After controlling the classical production factors such as physical capital, non-central cities narrow the gap between their per capital income level and the central cities, and produce positive spatial spillover effects by increasing the relative node centrality in the process of embedding in the polycentric urban network; On the whole, small and medium-sized cities gain node agglomeration growth effect, medium-sized cities play a positive spillover effect, and large cities with node centers play a long wave radiation effect, breaking through geographical proximity-these three factors are interlocked. This research offers pivotal insights for refining the spatial configuration of the Bohai Economic Rim.

A novel parameterized neutrosophic score function and its application in genetic algorithm.

Efficiency, safety and cost are three major evaluation indexes of warehouse operation. However, the uncertainty of efficiency, safety and cost factors will lead to economic losses and waste of resources. The purpose of this study is to propose a novel parameterized neutrosophic objective-proportionate genetic algorithm model (PNO-PGA) to optimize the above three objectives.

State-to-State Time-Dependent Quantum Dynamics Studies of the Si(P) + OH(X Π) → OSi(X Σ) + H(S) Reaction Based on a New HOSi(XA') Potential Energy Surface.

Quantum and quasi-classical dynamics calculations were conducted for the reaction of Si with OH on the latest potential energy surface (PES), which is obtained by fitting tens of thousands of energy points by using the many-body expansion formula. To obtain an accurate PES, all energy points calculated with aug-cc-pVQZ and aug-cc-pV5Z basis sets were extrapolated to the complete basis set limit. The accuracy of our new PES was verified by comparing the topographic characteristics and contour maps of potential energy with other works.

Research on X-ray nondestructive defect detection method of tire based on dynamic Snake Convolution YOLO model.

Tire X-ray nondestructive testing before leaving the factory is crucial for driving safety. Given the complexity of tire structures and the diversity of defect types, traditional manual visual inspections and machine learning methods face significant challenges in terms of accuracy and efficiency. This study proposes an innovative tire X-ray image nondestructive testing technique based on the YOLOv5 model, incorporating several advanced technologies to enhance detection performance.

Molecular insights into Dalbavancin's blockade of ACE2-spike protein interaction in SARS-CoV-2.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a global pandemic and a serious impact on human life and health. The spread of this virus, coupled with the emergence of many mutants, has posed increasingly formidable challenges to the design and development of antiviral drugs. Recently, it has been discovered that dalbavancin can bind to angiotensin-converting enzyme 2 (ACE2) of host cells with high affinity, blocking the interaction between the spike protein and ACE2, thereby making it a potentially promising anti-SARS-CoV-2 drug.

Lightweight Vehicle Detection Based on Mamba_ViT.

Vehicle detection algorithms are essential for intelligent traffic management and autonomous driving systems. Current vehicle detection algorithms largely rely on deep learning techniques, enabling the automatic extraction of vehicle image features through convolutional neural networks (CNNs). However, in real traffic scenarios, relying only on a single feature extraction unit makes it difficult to fully understand the vehicle information in the traffic scenario, thus affecting the vehicle detection effect.

Fabrication and X-ray microtomography of sandwich-structured PEEK implants for skull defect repair.

Bone defects pose a significant risk to human health. Medical polyetheretherketone (PEEK) is an excellent implant material for bone defect repair, but it faces the challenge of bone osteoconduction and osseointegration. Osteoconduction describes the process by which bone grows on the surface of the implant, while osseointegration is the stable anchoring of the implant achieved by direct contact between the bone and the implant.

Research on multi-scale fusion image enhancement and improved YOLOv5s lightweight ROV underwater target detection method.

Underwater target detection technology is very important for Marine resources detection and underwater environment perception. The problems of low-quality underwater images, a large amount of calculation, and low accuracy of target detection models still need to be solved. Firstly, a new underwater image enhancement algorithm based on multi-scale fusion is proposed.

Metagenomic study of the microbiome and key geochemical potentials associated with architectural heritage sites: a case study of the Song Dynasty city wall in Shou County, China.

Historical cultural heritage sites are valuable for all of mankind, as they reflect the material and spiritual wealth of by nations, countries, or specific groups during the development of human civilization. The types and functions of microorganisms that form biofilms on the surfaces of architectural heritage sites influence measures to preserve and protect these sites. These microorganisms contribute to the biocorrosion of architectural heritage structures through the cycling of chemical elements.

Research on the spatiotemporal evolution characteristics of China's charging stations.

New energy vehicles (NEVs) are pivotal for reducing emissions in the transportation sector, and charging facilities are fundamental to the sustainable growth of the NEV industry. To scientifically plan and optimize the development and layout of China's electric vehicle charging infrastructure, this paper analyzed the growth, spatial distribution and the spatiotemporal evolution characteristics of EV charging station in China from 2009 to 2023 using the geographically weighted regression (GWR) model, geographically and temporally weighted regression (GTWR) model and the STIRPAT model. The main research conclusions are as follows: The growth trend of charging station is generally consistent with the growth trend of NEV, albeit with a certain time lag.

Epitaxial Growth of Silver Clusters from Ag57 to Ag72 via Laminating Multiple Different Anion Templates.

The established capability of anion templates in precisely manipulating the size, geometry, and function of metal clusters is well acknowledged. However, the development of a systematic methodology for orchestrating the assembly of silver clusters, particularly those encompassing multiple distinct types of anion templates, remains elusive due to the formidable synthetic challenge. In this work, we report two novel silver clusters, Ag57 and Ag72, using two and three different anion templates, respectively.

Bearing defect detection based on the improved YOLOv5 algorithm.

In the field of bearing defect detection, Aiming at the problem of low efficiency in manual inspection and prone to missed detections in scenarios with small target defects, and overlapping targets, an improved YOLOv5-based object detection method is proposed. Firstly, in terms of feature extraction, the C3 modules in the original backbone of YOLOv5 are replaced with the finer-grained Res2Block modules to improve the model's feature extraction ability. Secondly, in terms of feature fusion, a Bidirectional Feature Pyramid Network (BiFPN) is added to the original neck of YOLOv5 to enhance the fusion ability of shallow graphic features and deep semantic features.

Research on frequency shift signal detection algorithm for jointless track circuits based on improved relaxation algorithm.

The accuracy of ZPW-2000 frequency shift signal demodulation is related to the safety and efficiency of high-speed trains. This paper proposed a kind of ZPW-2000 frequency-shift signal detection algorithm based on improved Relaxation algorithm (ZFSD-IR) to address the issue of low accuracy in detecting ZPW-2000 frequency shift signal under strong noise interference, as the traditional fast Fourier transform (FFT) spectrum analysis methods are susceptible to fence effects and spectrum leakage effects. Firstly, the principle of ZPW-2000 jointless track circuit was analyzed, and then the ideal and simplified models of ZPW-2000 frequency shift signal were established, respectively.

Rational Design of High-Performance Photocontrolled Molecular Switches Based on Chiroptical Dimethylcethrene: A Theoretical Study.

The reversible photo-induced conformation transition of a single molecule with a [5]helicene backbone has garnered considerable interest in recent studies. Based on such a switching process, one can build molecular photo-driven switches for potential applications of nanoelectronics. But the achievement of high-performance reversible single-molecule photoswitches is still rare.

A Review of the Biomimetic Structural Design of Sandwich Composite Materials.

Sandwich composites are widely used in engineering due to their excellent mechanical properties. Accordingly, the problem of interface bonding between their panels and core layers has always been a hot research topic. The emergence of biomimetic technology has enabled the integration of the structure and function of biological materials from living organisms or nature into the design of sandwich composites, greatly improving the interface bonding and overall performance of heterogeneous materials.

Accelerated molecular dynamics study of the interaction mechanism between small molecule inhibitors and phosphoglycerate mutase 1.

In 2020, cancer-related deaths reached 9.96 million globally, of which China accounted for 3 million, ranking first in the world. Phosphoglycerate mutase 1 (PGAM1) is a key metabolic enzyme in glycolysis, catalysing the conversion of 3-phosphoglycerate to 2-phosphoglycerate.

Injecting competition into online programming and Chinese- English translation classrooms.

The introduction of competition has the potential to enhance the efficacy of students' learning performance. Nevertheless, there have been contradictory findings about the impact of intergroup competition on students' learning performance and engagement. Therefore, further comprehensive investigations for this problem are necessary.

Adaptive formation control for obstacle avoidance of USVs with asymmetric input saturation.

Due to the complex maritime navigation environment, Unmanned Surface Vessels (USVs) are influenced by unknown nonlinear dynamics arising from external disturbances and internal uncertainties. Achieving effective formation control while maintaining obstacle avoidance performance presents significant challenges. This article proposes a Neural Networks (NNs) adaptive formation Artificial Potential Field (APF) obstacle avoidance control method for multiple USVs.