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Journal of Environmental Sciences 2024年第10期144卷 45-54页

作者： Yan Zhang Hao Lin Aixin Yu Xiaozhuang Wang Yucan liu Tongshuai liu Chen Zhao rui Mei School of Civil Engineering Yantai UniversityYantai 264005China

Atrazine causes concern due to its resistant to biodegradation and could be accumulated in aquatic organisms,causing pollution in *** study measured the concentration of atrazine in ice and the water under ice through a simulated icing experiment and calculated the distribution coefficient K to characterize its migration ability in the freezing ***,density functional theory(DFT)calculations were employed to expatiate the migration law of atrazine during icing *** to the results,it could release more energy into the environment when atrazine staying in water phase(-15.077 kcal/mol)than staying in ice phase(-14.388 kcal/mol),therefore it was beneficial for the migration of atrazine from ice to *** explains that during the freezing process,the concentration of atrazine in the ice was lower than that in the *** calculations indicated thatwhen the temperature decreases from268 to 248 K,the internal energy contribution of the compound of atrazine and ice molecule(water cluster)decreases at the same vibrational frequency,resulting in an increase in the free energy difference of the compound from-167.946 to-165.390 kcal/*** demonstrated the diminished migratory capacity of *** study revealed the environmental behavior of atrazine during lake freezing,which was beneficial for the management of atrazine and other pollutants during freezing and environmental protection.

关键词： Density functional theory(DFT) Icing process Atrazine Migration behavior Free energy

Sirt5 desuccinylates Cdc42 to mediate osteoclastogenesis and bone remodeling in mice

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Genes & Diseases 2024年第3期11卷 75-78页

作者： Yuang Zhanngg jing Wang jing Luan Chuanju liu Yazhou Cui Jinxiang Han Department of Orthopedics The First Affiliated Hospital of Shandong First Medical University&Shandong Provincial Qianfoshan HospitalJi'nanShandong 250014China Biomedical Sciences College&Shandong Medicinal Biotechnology Centre Shandong First Medical University&Shandong Academy of Medical SciencesJi'nanShandong 250117China NHC Key Laboratory of Biotechnology Drugs(Shandong Academy of Medical Sciences) Ji'nanShandong 250117China Key Lab for Rare&Uncommon Diseases of Shandong Province Ji'nanShandong250117China Department of Orthopaedic Surgery New York University Grossman School of MedicineNew YorkNY 10003USA Department of Cell Biology New York University Grossman School of MedicineNewYorkNY10016USA

Post-translational modifications(PTMs)play a critical role in bone remodeling,with phosphorylation and acetylation being particularly well ***,succinylation,a relatively uncommon PTM on lysine,has received considerable research attention for its influence on several physiological and pathological processes and conditions.1 Several substrates involved in mitochondrial pathways have been validated as substrates for the desuccinylase sirtuin 5(Sirt5),a key regulator of succinylation.2 Bone is one of the most metabolically active organs,but the role of succinylation during bone remodeling is not well characterized.

关键词： remodeling organs media

Correlation between psychological traits and the use of smart medical services in young and middle-aged adults: An observational study

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World Journal of Psychiatry 2024年第8期14卷 1224-1232页

作者： Hu Zhang Yan liu rui Gu Department of Internet Hospital Management The Third People's Hospital of ChengduChengdu 610031Sichuan ProvinceChina Department of Neurology The Third People's Hospital of ChengduThe Affiliated Hospital of Southwest Jiaotong UniversityChengdu 610031Sichuan ProvinceChina

BACKGROUND Psychological problems affect economic ***,there is a huge gap between mental health service resources and mental health service *** mental health service technology and platforms cannot meet all the diverse mental health needs of *** medicine is a new medical system based online that can effectively improve the quality and efficiency of medical services and make mental health services *** To explore the level of intelligent medical use among young and middle-aged people and its correlation with psychological *** Convenience sampling was used to select 200 young and middle-aged patients with medical experience at the Third People's Hospital of Chengdu between January 2022 and January 2023 as the research *** general condition Questionnaire,Eysenck Personality Questionnaire,Symptom Checklist-90,General Health Questionnaire,and Smart Medical Service Use Intention Questionnaire were used to collect ***’s correlation was used to analyze the correlation between the participants’willingness to use smart medical services and their personality characteristics,psychological symptoms,and mental *** The results revealed that the mental health of young and middle-aged people was poor,and some had psycho-logical problems such as anxiety,depression,and physical ***,acceptance,and usage of smart healthcare in this population are at a medium level,and these levels correlate with psychological *** was positively correlated with E,and negatively correlated with P,anxiety,fear,anxiety/insomnia,and social *** degree of use was negatively correlated with P,obsessive-compulsive symptoms,depression,anxiety,hostility,paranoia,and somatic *** The familiarity,acceptance,and usage of smart medical services among the middle-aged and young groups are related to various psychological characteristics.

关键词： Young and middle-aged people Smart healthcare Willingness to serve Psychological characteristics Questionnaire survey Relevance

3D printed silicon-based micro-lattices with ultrahigh areal/gravimetric capacities and robust structural stability for lithium-ion batteries

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Nano Research 2024年第4期17卷 2693-2703页

作者： Jie Fu Dong Wang Yan Li Xianzheng liu rui Zhang Zhiyuan liu Pengdong liu Lijuan Zhang Xuefei Li Guangwu Wen School of Materials Science and Engineering Shandong University of TechnologyZibo 255000China Shandong Si-Nano Materials Technology Co. Ltd.Zibo 255000China

Nanostructured silicon anodes have shown extraordinary lithium storage properties for lithium-ion batteries(LIBs)but are usually achieved at low areal loadings(<1.5 mg·cm^(-2))with low areal *** sound electrochemical performance at high loading requires proportionally higher ion/electron currents and robust structural stability in the thicker ***,we report a three-dimensional(3D)printed silicon-graphene-carbon nanotube(3D-Si/G/C)electrode for simultaneously achieving ultrahigh areal/gravimetric capacities at high mass *** periodically arranged vertical channels and hierarchically porous filaments facilitate sufficient electrolyte infiltration and rapid ion diffusion,and the carbonaceous network provides excellent electron transport properties and mechanical integrity,thus endowing the printed 3D-Si/G/C electrode with fast electrochemical reaction kinetics and reversibility at high mass ***,the 3D-Si/G/C with high areal mass loading of 12.9 mg·cm^(-2) exhibits excellent areal capacity of 12.8 mAh·cm^(-2) and specific capacity of 1007 mAh·g^(-1),***-situ optical microscope and ex-situ scanning electron microscope(SEM)confirm that the hierarchically porous filaments with interconnected carbon skeletons effectively suppress the volume change of silicon and maintain stable micro-lattice architecture.A 3D printed 3D-Si/G/C-1||3D-LiFePO_(4)/G full cell holds excellent cyclic stability(capacity retention rate of 78%after 50 cycles)with an initial Coulombic efficiency(ICE)of 96%.This work validates the feasibility of 3D printing on constructing high mass loading silicon anode for practical high energy-density LIBs.

关键词： silicon anode areal capacity three-dimensional(3D)printing lithium-ion batteries

First-Arrival Picking Method for Active Source Data with Ocean Bottom Seismometers Based on Spatial Waveform Variation Characteristics

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Journal of Ocean University of China 2024年第4期23卷 970-980页

作者： liu Hongwei XING Lei ZHU Henghua ZHANG Jin ZHANG jing liu Huaishan Key Laboratory of Submarine Geosciences and Prospecting Techniques Ministry of EducationCollege of Marine GeosciencesOcean University of ChinaQingdao 266100China Laboratory for Marine Mineral Resources Qingdao Marine Science and Technology CenterQingdao 266071China College of Underwater Acoustic Engineering Harbin Engineering UniversityHarbin 150001China Shandong Institute of Geological Survey Jinan 250014China

The precision and reliability of first-arrival picking are crucial for determining the accuracy of geological structure inversion using active source ocean bottom seismometer(OBS)refraction *** methods for first-arrival picking based on sample points are characterized by theoretical errors,especially in low-sampling-frequency OBS data because the travel time of seismic waves is not an integer multiple of the sampling *** this paper,a first-arrival picking method that utilizes the spatial waveform variation characteristics of active source OBS data is ***,the distribution law of theoretical error is examined;adjacent traces exhibit variation characteristics in their ***,a label cross-correlation superposition method for extracting highfrequency signals is presented to enhance the first-arrival picking *** from synthetic and field data verify that the proposed approach is robust,successfully overcomes the limitations of low sampling frequency,and achieves precise outcomes that are comparable with those of high-sampling-frequency data.

关键词： first-arrival picking spatial waveform variation label cross-correlation superposition method

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Carbon Dots as“On–Off–On”Fluorescence Sensors for Selective and Consecutive Detection of 4-Nitrophenol and Cerium(IV)in Water Samples

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Journal of Analysis and Testing 2024年第2期8卷 201-209页

作者： jing Yang Hao liu Yan Huang Li Li Huajie liu Yaping Ding Department of Chemistry College of SciencesShanghai UniversityShanghai200444China School of Chemical Science and Engineering Tongji UniversityShanghai200092China

An“on–off–on”fluorescence sensor was designed for rapidly and consecutively detecting 4-nitrophenol and cerium(IV)without the use of any labeling *** yellow carbon dots were synthesized by a simple one-step hydrothermal approach,and various techniques were applied to investigate the morphology,structure,and optical properties of the carbon *** the optimal experimental conditions,4-nitrophenol rapidly quenched the fluorescence of carbon dots as a result of the inner filter eff ect(IFE).The fluorescence intensity of carbon dots was linear with the concentration of 4-nitrophenol(1–150μmol/L)and the limit of detection was 0.32μmol/*** fluorescence was gradually recovered as the cerium(IV)concentration(0.5–100μmol/L)increased in CDs/4-NP,and the limit of detection was 0.16μmol/*** sensor showed good selectivity and demonstrated high accuracy for the analysis of 4-nitrophenol and cerium(IV)in actual water samples.

关键词： Carbon dots Fluorescence sensor 4-Nitrophenol Cerium(IV) Water samples

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Attention-based network embedding with higher-order weights and node attributes

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CAAI Transactions on Intelligence Technology 2024年第2期9卷 440-451页

作者： Xian Mo Binyuan Wan rui Tang Junkai Ding Guangdi liu School of Information Engineering Ningxia UniversityYinchuanChina School of Cyber Science and Engineering Sichuan UniversityChengduChina Computer Science and Information Technology University of MalayaKuala LumpurMalaysia Academy of Medical Sciences Zhengzhou UniversityZhengzhouChina

Network embedding aspires to learn a low-dimensional vector of each node in networks,which can apply to diverse data mining *** real-life,many networks include rich attributes and temporal ***,most existing embedding approaches ignore either temporal information or network attributes.A self-attention based architecture using higher-order weights and node attributes for both static and temporal attributed network embedding is presented in this article.A random walk sampling algorithm based on higher-order weights and node attributes to capture network topological features is *** static attributed networks,the algorithm incorporates first-order to k-order weights,and node attribute similarities into one weighted graph to preserve topological features of *** temporal attribute networks,the algorithm incorporates previous snapshots of networks containing first-order to k-order weights,and nodes attribute similarities into one weighted *** addition,the algorithm utilises a damping factor to ensure that the more recent snapshots allocate a greater *** features are then incorporated into topological ***,the authors adopt the most advanced architecture,Self-Attention Networks,to learn node *** results on node classification of static attributed networks and link prediction of temporal attributed networks reveal that our proposed approach is competitive against diverse state-of-the-art baseline approaches.

关键词： data mining deep neural networks social network

Accurate Source-Receiver Positioning Method for a High-Resolution Deep-Towed Multichannel Seismic Exploration System

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Journal of Ocean University of China 2024年第2期23卷 415-426页

作者： LI jing liu Kai WEI Zhengrong ZHANG Liancheng liu Yangting PEI Yanliang liu Chenguang liu Baohua Key Laboratory of Marine Geology and Metallogeny First Institute of OceanographyMNRQingdao 266061China Laboratory for Marine Geology Laoshan LaboratoryQingdao 266061China College of Ocean Science and Engineering Shandong University of Science and TechnologyQingdao 266590China Key Laboratory of Fluid Transmission Technology of Zhejiang Province Zhejiang Sci-Tech UniversityHangzhou 310018China

The near-seabed multichannel seismic exploration systems have yielded remarkable successes in marine geological disaster assessment,marine gas hydrate investigation,and deep-sea mineral exploration owing to their high vertical and horizontal ***,the quality of deep-towed seismic imaging hinges on accurate source-receiver positioning *** light of existing technical problems,we propose a novel array geometry inversion method tailored for high-resolution deep-towed multichannel seismic exploration *** method is independent of the attitude and depth sensors along a deep-towed seismic streamer,accounting for variations in seawater velocity and seabed slope *** approach decomposes the towed line array into multiline segments and characterizes its geometric shape using the line segment distance and pitch *** optimization parameters for seawater velocity and seabed slope angle,we establish an objective function based on the model,yielding results that align with objective *** the particle swarm optimization algorithm enables synchronous acquisition of optimized inversion results for array geometry and seawater *** validation using theoretical models and practical data verifies that our approach effectively enhances source and receiver positioning inversion *** algorithm exhibits robust stability and reliability,addressing uncertainties in seismic traveltime picking and complex seabed topography conditions.

关键词： high-resolution deep-towed multichannel seismic exploration source-receiver positioning array geometry inversion seawater heterogeneity seabed slope angle

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Learning-based counterfactual explanations for recommendation

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Science China(Information Sciences) 2024年第8期67卷 115-129页

作者： jingxuan WEN Huafeng liu Liping jing Jian YU School of Computer and Information Technology Beijing Jiaotong University Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University

Counterfactual explanations provide explanations by exploring the changes in effect caused by changes in cause. They have attracted significant attention in recommender system research to explore the impact of changes in certain properties on the recommendation mechanism. Among several counterfactual recommendation methods, item-based counterfactual explanation methods have attracted considerable attention because of their flexibility. The core idea of item-based counterfactual explanation methods is to find a minimal subset of interacted items(i.e., short length) such that the recommended item would topple out of the top-K recommendation list once these items have been removed from user interactions(i.e., good quality). Usually, explanations are generated by ranking the precomputed importance of items, which fails to characterize the true importance of interacted items due to separation from the explanation generation. Additionally, the final explanations are generated according to a certain search strategy given the precomputed importance. This indicates that the quality and length of counterfactual explanations are deterministic;therefore, they cannot be balanced once the search strategy is fixed. To overcome these obstacles, this study proposes learning-based counterfactual explanations for recommendation(LCER) to provide counterfactual explanations based on personalized recommendations by jointly modeling the factual and counterfactual preference. To achieve consistency between the computation of importance and generation of counterfactual explanations, the proposed LCER endows an optimizable importance for each interacted item, which is supervised by the goal of counterfactual explanations to guarantee its credibility. Because of the model's flexibility, the trade-off between quality and length can be customized by setting different proportions. The experimental results on four real-world datasets demonstrate the effectiveness of the proposed LCER over several

关键词： counterfactual explanation counterfactual inference explainable recommendation item-based explanation recommender system

Local saliency consistency-based label inference for weakly supervised salient object detection using scribble annotations

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 239-249页

作者： Shuo Zhao Peng Cui jing Shen Haibo liu School of Computer Science and Technology Harbin University of Science and TechnologyHarbinChina School of Computer Science and Technology Harbin Engineering UniversityHarbinChina

Recently,weak supervision has received growing attention in the field of salient object detection due to the convenience of ***,there is a large performance gap between weakly supervised and fully supervised salient object detectors because the scribble annotation can only provide very limited foreground/background ***,an intuitive idea is to infer annotations that cover more complete object and background regions for *** this end,a label inference strategy is proposed based on the assumption that pixels with similar colours and close positions should have consistent ***,k-means clustering algorithm was first performed on both colours and coordinates of original annotations,and then assigned the same labels to points having similar colours with colour cluster centres and near coordinate cluster ***,the same annotations for pixels with similar colours within each kernel neighbourhood was set *** experiments on six benchmarks demonstrate that our method can significantly improve the performance and achieve the state-of-the-art results.

关键词： label inference salient object detection weak supervision