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Frontiers of Environmental Science & Engineering 2024年第4期18卷 49-60页

作者： Yuhang Liu Wenxuan Deng Xiaojun Wu Chun Hu Lai Lyu Key Laboratory for Water Quality and Conservation of the Pearl River Delta(Ministry of education) Institute of Environmental Research at Greater BayGuangzhou UniversityGuangzhou 510006China

Effective removal of emerging contaminants(ECs)to minimize their impacts on human health and the natural environment is a global *** the removal of ECs in water,we fabricated a seaweed spherical microsphere catalyst with Cu cation-πstructures by in situ doping of Cu species and ascorbic acid in mesoporous silica(Cu-C-MSNs)via a hydrothermal *** results indicate that bisphenol A(BPA)is substantially degraded within 5 min under natural conditions,with its biological toxicity considerably ***,industrial wastewater could also be effectively purified by Cu-C-MSNs/H_(2)O_(2) *** presence of metal sites and the complexation of ECs via cation-πinteraction andπ-πstacking on the catalyst surface were directly responsible for the polarization distribution of electrons,thus activating H_(2)O_(2) and dissolved oxygen(DO).The removal of contaminants could be attributed primarily to 1)the activation of H_(2)O_(2) into ^(·)OH to attack the contaminants and 2)self-cleavage because of the transfer of electrons from the contaminants to the *** study provides an innovative solution for the effective treatment of ECs and has positive implications for easing global environmental crises.

关键词： Cation-πstructures Polarization electric field Fenton-like process Contaminants cleavage

Shifting the Paradigm:A Fresh Look at physical Activity Frequency and Its Impact on Mental Health,Life Satisfaction,and Self-Rated Health in Adolescents

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International Journal of Mental Health Promotion 2024年第2期26卷 83-92页

作者： Wenjie Li Yucheng Gao Guoqing Liu Rongkai Hao Meijie Zhang Xiaotian Li Country School of Recreation and Community Sport Capital University of Physical Education and SportsBeijing100191China institute of physical education and Training Capital University of Physical Education and SportsBeijing100191China

As adolescent mental health problems are becoming a more serious issue globally,this paper explores the relationship of physical activity in adolescents and its frequency on mental health as well as examines the mediating effects of life satisfaction and self-rated health in order to provide a reference for the promotion of mental health in adolescents.A sample of 3578 Chinese high school students completed questionnaires assessing their mental health,physical activity frequency,life satisfaction,and self-rated *** mean SCL-90 value for adolescents was found to be 1.629%,and 24.73%of adolescents had varying degrees of mental health *** physical activity frequency is positively associated with improved mental health(pphysical activity frequency and mental ***,low-frequency physical activity had the most pronounced mediating effect on mental health through life satisfaction,while high-frequency physical activity exerted the most significant mediating effect on mental health through self-rated *** findings underscore the importance of promoting physical activity among adolescents and highlight the distinct pathways through which physical activity frequency can influence mental health *** research is needed to explore these relationships in diverse populations and settings,as well as to develop targeted intervention.

关键词： Adolescents physical activity mental health life satisfaction self-rated health

Universal Machine Learning Kohn–Sham Hamiltonian for Materials

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Chinese Physics Letters 2024年第7期41卷 95-110页

作者：钟阳于宏宇杨吉辉郭星宇向红军龚新高 Key Laboratory of Computational physical Sciences(Ministry of education) Institute of Computational Physical SciencesState Key Laboratory of Surface Physicsand Department of PhysicsFudan UniversityShanghai 200433China Shanghai Qi Zhi institute Shanghai 200030China

While density functional theory(DFT)serves as a prevalent computational approach in electronic structure calculations,its computational demands and scalability limitations ***,leveraging neural networks to parameterize the Kohn-Sham DFT Hamiltonian has emerged as a promising avenue for accelerating electronic structure *** advancements,challenges such as the necessity for computing extensive DFT training data to explore each new system and the complexity of establishing accurate machine learning models for multi-elemental materials still *** these hurdles,this study introduces a universal electronic Hamiltonian model trained on Hamiltonian matrices obtained from first-principles DFT calculations of nearly all crystal structures on the Materials *** demonstrate its generality in predicting electronic structures across the whole periodic table,including complex multi-elemental systems,solid-state electrolytes,Moir´e twisted bilayer heterostructure,and metal-organic ***,we utilize the universal model to conduct high-throughput calculations of electronic structures for crystals in GNoME datasets,identifying 3940 crystals with direct band gaps and 5109 crystals with flat *** offering a reliable efficient framework for computing electronic properties,this universal Hamiltonian model lays the groundwork for advancements in diverse fields,such as easily providing a huge data set of electronic structures and also making the materials design across the whole periodic table possible.

关键词： Hamiltonian utilize twisted

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A Framework Based on the DAO and NFT in Blockchain for Electronic Document Sharing

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2373-2395页

作者： Lin Chen Jiaming Zhu Yuting Xu Huanqin Zheng Shen Su Cyberspace institute of Advanced Technology Guangzhou UniversityGuangzhou510006China Engineering Research Center of lntegration and Application of Digital Learning Technology Ministry of EducationBeijing100816China

In the information age,electronic documents(e-documents)have become a popular alternative to paper documents due to their lower costs,higher dissemination rates,and ease of knowledge ***,digital copyright infringements occur frequently due to the ease of copying,which not only infringes on the rights of creators but also weakens their creative ***,it is crucial to establish an e-document sharing system that enforces copyright ***,the existing centralized system has outstanding vulnerabilities,and the plagiarism detection algorithm used cannot fully detect the context,semantics,style,and other factors of the *** watermark technology is only used as a means of infringement *** paper proposes a decentralized framework for e-document sharing based on decentralized autonomous organization(DAO)and non-fungible token(NFT)in *** use of blockchain as a distributed credit base resolves the vulnerabilities inherent in traditional centralized *** e-document evaluation and plagiarism detection mechanisms based on the DAO model effectively address challenges in comprehensive text information checks,thereby promoting the enhancement of e-document *** mechanism for protecting and circulating e-document copyrights using NFT technology ensures effective safeguarding of users’e-document copyrights and facilitates e-document ***,recognizing the security issues within the DAO governance mechanism,we introduce an innovative optimization *** experimentation,we validate the enhanced security of the optimized governance mechanism,reducing manipulation risks by up to 51%.Additionally,by utilizing evolutionary game analysis to deduce the equilibrium strategies of the framework,we discovered that adjusting the reward and penalty parameters of the incentive mechanism motivates creators to generate superior quality and unique e-documents,while evaluators are more likely to engage in

关键词： Electronic document sharing blockchain DAO NFT evolutionary game

Molecular engineering towards dual surface local polarization sites on poly(heptazine imide)framework for boosting H_(2)O_(2) photo-production

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Chinese Chemical Letters 2024年第8期35卷 396-400页

作者： Zhenchun Yang Bixiao Guo Zhenyu Hu Kun Wang Jiahao Cui Lina Li Chun Hu Yubao Zhao Key Laboratory for Water Quality and Conservation of the Pearl River Delta Ministry of EducationInstitute of Environmental Research at Greater BayGuangzhou UniversityGuangzhou 510006China Department of Environmental Science and Engineering Guangzhou UniversityGuangzhou 510006China

The selective 2e^(−)ORR reaction on polymeric carbon nitride framework is one of the most promising approaches for solar-driven hydrogen peroxide ***(heptazine imide)(PHI)as a class of K+-incorporated crystalline carbon nitride framework,is highly active for photocatalytic H_(2)O_(2)*** upgrade on the H_(2)O_(2)photoproduction performance of PHI is realized and the mechanistic insights are revealed in this *** photochemical reaction,the electron withdrawing groups of hydroxyl group and cyano group are grafted on the surface of PHI *** dual polarization sites on the sur-face contribute significantly to the enhancement of the exciton *** optimized PHI with dual polarization sites exhibits a remarkable photocatalytic H_(2)O_(2)production performance,which is 2times of the active pristine *** importantly,the photochemical reaction method is generally applicable to improve the exciton dissociation of a wide range of polymeric carbon nitride frameworks with vari-ous structure and compositions;and the thiourea-derived polymeric carbon nitride framework with dual surface polarization sites exhibits a remarkable photocatalytic performance with a high H_(2)O_(2)production rate of 40.5 mmol h^(−1)g^(−1).

关键词： Photocatalysis Hydrogen peroxide production Carbon nitride framework Surface functionalization ORR

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Carbon steel anticorrosion performance and mechanism of sodium lignosulfonate

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Rare Metals 2024年第1期43卷 356-365页

作者： Bo-Kai Liao Rui-Xuan Quan Ping-Xian Feng Huan Wang Wei Wang Li Niu School of Chemistry and Chemical Engineering Guangzhou Key Laboratory of Sensing Materials and DevicesJoint Institute of Guangzhou University and Institute of Corrosion Science and TechnologyGuangzhou UniversityGuangzhou 510006China

Lignin is a typical biological macromolecule with a three-dimensional network structure and abundant functional groups. It has excellent ionic complexation ability and amphiphilic molecular structure *** this study, the carbon steel anticorrosion performance of sodium lignosulfonate(SLS) in an acid solution was evaluated using the weight loss method, electrochemical measurements, scanning vibration electrode technique(SVET), and surface characterization methods. SLS exhibited excellent corrosion inhibition efficiency for Q235carbon steel in 1 mol·L^(-1) HCl, reaching a maximum value of 98%. A low SLS concentration of 20 mg·L^(-1) resulted in the maximum corrosion inhibition efficiency, which remained nearly constant at higher SLS *** SVET test demonstrated that the formation of an SLS adsorption film can impede corrosion. This study confirms the significance of the application of green biomass resources in the field of metal corrosion protection and green functional materials.

关键词： Lignin Sodium lignosulfonate Corrosion inhibitor Carbon Steel

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Slow magnetic relaxation behaviors and diamagnetic dilution studies of a carboxyl bridged dinuclear dysprosium(Ⅲ) complex

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Journal of Rare Earths 2024年第11期42卷 2088-2096页

作者： Wenting Liu Yibo Qiu Weiqin Xu Manli Cao Xin Deng Weiquan Lin School of Chemistry and Materials Science Guangdong University of Education School of Chemistry and Chemical Engineering/institute of Clean Energy and Materials Guangzhou University

By using a rigid bulky carboxylic ligand a-cyanocinnamic acid（CCA）,a dinuclear dysprosium（Ⅲ） complex [Dy2（CCA）6（MeOH）4]（1） was *** crystal X-ray crystallography reveals that the two eight-coordinate dysprosium ions are bridged by four deprotonated carboxyl groups,forming a centrosymmetric paddle-wheel-1ike *** magnetic property measurements indicate that complex 1 displays field-induced slow magnetic *** temperature-dependent relaxation times can be fitted using Orbach and Raman processes with parameters of n=2.8（2）,C=27（8） s-1/K~n,τ0=5（2） × 10-10s and Ueff=40（3） *** studies on the diamagnetic YⅢ-diluted analogue[Dy0.206Y1.794（CCA）6（MeOH）4]（2） reveal its slow magnetic relaxation behavior without external dc field and the antiferromagnetic coupling between the DyⅢions in *** on the obtained relaxation times of 2lead to the parameters of n=4.5（3）,C=0.7（2） s-1/K~n,τ0=2.8（2） × 10-9s and Ueff=38（2） *** results suggest that slow magnetic relaxation originates from the single-ion relaxation of DyⅢ***,the diamagnetic dilution can suppress other fast relaxation pathways at low temperature,on account of the elimination of magnetic coupling and dipolar *** initio calculations were then performed on the single DyⅢion species {YDy} and indicate that the first excited Kramers doublets（KDs）lie at ca.76 cm-1,which is slightly higher than the experimental *** intramolecular magnetic interactions were also calculated and indicate a weak ferromagnetic dipole-diploe magnetic interaction and an antiferromagnetic exchange coupling.

关键词： Diamagnetic dilution Dilanthanide complexes Rare earths Single-molecule magnets

Emerging memristors and applications in reservoir computing

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Frontiers of physics 2024年第1期19卷 219-239页

作者： Hao Chen Xin-Gui Tang Zhihao Shen Wen-Tao Guo Qi-Jun Sun Zhenhua Tang Yan-Ping Jiang School of Physics and Optoelectronic Engineering Guangdong University of TechnologyGuangzhou Higher Education Mega CenterGuangzhou 510006China

Recently, with the emergence of ChatGPT, the field of artificial intelligence has garnered widespread attention from various sectors of society. Reservoir Computing (RC) is a neuromorphic computing algorithm used to analyze time-series data. Unlike traditional artificial neural networks that require the weight values of all nodes in the trained network, RC only needs to train the readout layer. This makes the training process faster and more efficient, and it has been used in various applications, including speech recognition, image classification, and control systems. Its flexibility and efficiency make it a popular choice for processing large amounts of complex data. A recent research trend is to develop physical RC, which utilizes the nonlinear dynamic and short-term memory properties of physical systems (photonic modules, spintronic devices, memristors, etc.) to construct a fixed random neural network structure for processing input data to reduce computing time and energy. In this paper, we introduced the recent development of memristors and demonstrated the remarkable data processing capability of RC systems based on memristors. Not only do they possess excellent data processing ability comparable to digital RC systems, but they also have lower energy consumption and greater robustness. Finally, we discussed the development prospects and challenges faced by memristors-based RC systems.

关键词： reservoir computing memristor resistive switching artificial synapse neuromorphic computing

Water self-purification via electron donation effect of emerging contaminants arousing oxygen activation over ordered carbonenhanced CoFe quantum dots

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Environmental Science and Ecotechnology 2024年第4期20卷 167-176页

作者： Yuhao Shi Dongxuan Yang Chun Hu Lai Lyu institute of Environ.Res.at Greater Bay Area Key Laboratory forWater Quality and Conservation of the Pearl River DeltaMinistry of EducationGuangzhou UniversityGuangzhou510006China

The release of emerging contaminants(ECs)into aquatic environments poses a significant risk to global water *** oxidation processes(AOPs),while effective in removing ECs,are often resource and ***,we introduce a novel catalyst,CoFe quantum dots embedded in graphene nanowires(CoFeQds@GN-Nws),synthesized through anaerobic *** uniquely features electron-rich and electron-poor micro-regions on its surface,enabling a self-purification mechanism in *** is achieved by harnessing the internal energy of wastewater,particularly the bonding energy of pollutants and dissolved oxygen(DO).It demonstrates exceptional efficiency in removing ECs at ambient temperature and pressure without the need for external oxidants,achieving a removal rate of nearly 100.0%.The catalyst's structure-activity relationship reveals that CoFe quantum dots facilitate an unbalanced electron distribution,forming these *** leads to a continuous electrondonation effect,where pollutants are effectively cleaved or ***,DO is activated into superoxide anions(O_(2)^(·-)),synergistically aiding in pollutant *** approach reduces resource and energy demands typically associated with AOPs,marking a sustainable advancement in wastewater treatment technologies.

关键词： Quantum dots Emerging contaminants removal Self-purification system Dissolved oxygen

A Quarterly High RFM Mining Algorithm for Big Data Management

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Computers, Materials & Continua 2024年第9期80卷 4341-4360页

作者： Cuiwei Peng Jiahui Chen Shicheng Wan Guotao Xu School of International education Guangdong University of TechnologyGuangzhou510006China School of Computer Science and Technology Guangdong University of TechnologyGuangzhou510006China Business Administration South China University of TechnologyGuangzhou510641China guangzhou institute of Technology Xidian UniversityGuangzhou710071China

In today’s highly competitive retail industry,offline stores face increasing pressure on *** hope to improve their ability in shelf management with the help of big data *** this,on-shelf availability is an essential indicator of shelf data management and closely relates to customer purchase ***(recency,frequency,andmonetary)patternmining is a powerful tool to evaluate the value of customer ***,the existing RFM patternmining algorithms do not consider the quarterly nature of goods,resulting in unreasonable shelf availability and difficulty in *** solve this problem,we propose a quarterly RFM mining algorithmfor On-shelf products named *** algorithmmines the high recency,high frequency,and high monetary patterns and considers the period of the on-shelf goods in quarterly *** conducted experiments using two real datasets for numerical and graphical analysis to prove the algorithm’s *** with the state-of-the-art RFM mining algorithm,our algorithm can identify more patterns and performs well in terms of precision,recall,and F1-score,with the recall rate nearing 100%.Also,the novel algorithm operates with significantly shorter running times and more stable memory usage than existing mining ***,we analyze the sales trends of products in different quarters and seasonal *** analysis assists businesses in maintaining reasonable on-shelf availability and achieving greater profitability.

关键词： Data mining recency pattern high-utility itemset RFM pattern mining on-shelf management