检索结果-内蒙古大学图书馆

Windowing-Based Factor Graph Optimization With Anomaly Detection Using Mahalanobis Distance for Underwater INS/DVL/USBL Integration

引用

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2024年 73卷 1-13页

作者： Dong, Xun Hu, Gaoge Gao, Bingbing Zhong, Yongmin Ruan, Wei Northwestern Polytech Univ Shenzhen Res & Dev Inst Shenzhen 518057 Peoples R China Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China RMIT Univ Sch Engn Bundoora Vic 3083 Australia China State Shipbuilding Corp Ltd Res Inst 705 Xian 710075 Peoples R China

Factor graph optimization (FGO) provides a new means for asynchronous data fusion of integrated underwater vehicle navigation in a plug-and-play unified framework. However, in complex underwater environments, FGO suffers from observation anomalies, leading to deteriorated navigation solutions. This article proposes an improved factor graph with anomaly detection using Mahalanobis distance to overcome the above issue for inertial navigation system/Doppler velocity log/ultra-short baseline (INS/DVL/USBL) integrated underwater vehicle navigation. This method constructs a new factor graph model embedded with the node of anomaly detection for INS/DVL/USBL integration. Since the standard FGO computational load is increased with the number of the factor nodes, a sliding window technique is established to restrict the factor node number to improve the FGO computational efficiency. Based on above, a scheme of anomaly detection and regulation is presented for handling the disturbance of observation anomaly on system state estimation via the concept of Mahalanobis distance. Results of simulation and ground test experimentation show that the proposed methodology not only has the real-time performance but also has a strong robustness against observation anomaly for INS/DVL/USBL integrated navigation of underwater vehicles.

关键词： Abnormal observation anomaly detection factor graph optimization (FGO) Mahalanobis distance underwater navigation

来源：评论

学校读者我要写书评

暂无评论

An Aluminum-Based Metal-Organic Framework Incorporating Al3 and Al9 Nodes with High Porosity

引用

ACS MATERIALS LETTERS 2025年 2390-2396页

作者： Li, Shenfang Zhou, Xin Yu, Liang Mao, Shanshan Gao, Manglai Li, Jing Wang, Hao China Univ Petr Coll Sci State Key Lab Heavy Oil Proc Beijing 102249 Peoples R China Shenzhen Polytech Univ Hoffmann Inst Adv Mat Shenzhen 518055 Guangdong Peoples R China Rutgers State Univ Dept Chem & Chem Biol Piscataway NJ 08854 USA

Aluminum-based metal-organic frameworks (Al-MOFs) are characterized by structural diversity, high stability, low density, and nontoxicity, making them well-suited for adsorption related applications, yet their synthesis and characterization remain challenging. In this work, we report an Al-MOF, namely, HIAM-340, constructed from a hexacarboxylate linker, which incorporates unique Al3 and Al9 clusters and features a novel 5,4,9-c topology. It demonstrates a robust framework and high porosity with a BET surface area of 2800 m2 g-1. HIAM-340 exhibits an S-shaped water adsorption isotherm, with a saturation uptake of 52.02 mmol g-1 at 298 K and 1 bar. Additionally, we showcase that HIAM-340 is capable of separating ethane/ethylene/acetylene ternary mixtures in a single step through selective adsorption. This study offers valuable insights into crafting Al-MOFs via linker design, aiming for their potential use in adsorption-related applications.

关键词： Carboxylation

来源：评论

学校读者我要写书评

暂无评论

AhR Agonistic Components in Urban Particulate Matter Regulate Astrocytic Activation and Function

引用

ENVIRONMENTAL science & technology 2024年第10期58卷 4571-4580页

作者： Zhang, Yuzhu Pei, Yao Sun, Yumiao Yang, Xiaoxi Liang, Jiefeng Yin, Zhipeng Liu, Qian S. Zhou, Qunfang Jiang, Guibin Chinese Acad Sci Res Ctr Ecoenvironm Sci State Key Lab Environm Chem & Ecotoxicol Beijing 100085 Peoples R China Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China Shandong Univ Sch Environm Sci & Engn Shandong Key Lab Environm Proc & Hlth Qingdao 266237 Peoples R China Univ Chinese Acad Sci Hangzhou Inst Adv Study Sch Environm Hangzhou 310024 Peoples R China

Exposure to atmospheric particulate matter (PM) has been found to accelerate the onset of neurological disorders via the induction of detrimental neuroinflammatory responses. To reveal how astrocytes respond to urban atmospheric PM stimulation, a commercially available standard reference material (SRM1648a) was tested in this study on the activation of rat cortical astrocytes. The results showed that SRM1648a stimulation induced both A1 and A2 phenotypes in astrocytes, as characterized by the exposure concentration-dependent increases in Fkbp5, Sphk1, S100a10, and Il6 mRNA levels. Studying the functional alterations of astrocytes indicated that the neurotrophic factors of Gdnf and Ngf were transcriptionally upregulated due to astrocytic A2-type activation. SRM1648a also promoted autonomous motility of astrocytes and elevated the expressions of chemokines. The aryl hydrocarbon receptor (AhR) agonistic components, such as polycyclic aromatic hydrocarbons (PAHs), were recognized to greatly contribute to SRM1648a-induced effects on astrocytes, which was confirmed by the attenuation of PM-disturbed astrocytic effects via AhR blockage. This study, for the first time, uncovered the direct regulation of urban atmospheric PM on astrocytic activation and function and traced the containing bioactive components (e.g., PAHs) with AhR agonistic activity. The findings provided new knowledge on understanding the ambiguous neurological disturbance from ambient fine PM pollution.

关键词： urban particulate matter rat cortical astrocyte astrocytic activation aryl hydrocarbon receptor polycyclic aromatic hydrocarbon

来源：评论

学校读者我要写书评

暂无评论

TPGRec: Text-enhanced and popularity-smoothing graph collaborative filtering for long-tail item recommendation

引用

NEUROCOMPUTING 2025年 626卷

作者： Yu, Chenyun Zhao, Junfeng Wu, Xuan Luo, Yingle Xiao, Yan Sun Yat Sen Univ Shenzhen Campus Shenzhen 518107 Guangdong Peoples R China

GNN-based graph collaborative filtering methods have shown significant potential in recommendation systems, but they are often challenged by the long-tail effect due to exposure bias. While existing methods utilize techniques like contrastive learning, data augmentation and resampling as countermeasures, their reliance on ID-based embeddings can result in less informative representations and limit the model's grasp of intricate neighbor relationships. Recent researches have attempted to improve overall recommendation performance by incorporating text information for items, but they usually rely on extra graph structures or complex calculations, increasing computational costs and lacking adequate consideration for long-tail items. In this paper, we propose TPGRec, a novel Graph collaborative filtering method jointly from the text enhancement and popularity smoothing perspectives, which simultaneously improves both overall and long-tail recommendation performance. Initially, we introduce a balancing mechanism applied to the graph structure and training set to reduce the influence of popular items. Upon this, a structural-level contrastive learning technique is proposed for graph representation learning, which captures complex structural relationships without introducing excessive noise to node representations. Furthermore, we develop a semantic-level contrastive learning strategy that effectively and economically integrates ID embeddings with textual data, establishing implicit semantic relationships and deepening the model's understanding of items. Ultimately, we develop a popularity-balanced BPR optimization module to facilitate fair recommendation opportunities for items of varying popularity and promote the model's discriminative power over hard negative samples. Comprehensive experiments on four real-world datasets have demonstrated the superiority of TPGRec compared with the state-of-the-art baselines. Our codes and datasets are available at Github: https://gith

关键词： Recommendation systems Long-tail recommendation GNNs Representative learning Contrastive learning

来源：评论

学校读者我要写书评

暂无评论

Mechanisms and Mitigation Strategies of Gas Generation in Sodium-Ion Batteries

引用

Nano-Micro Letters 2025年第8期17卷 17-48页

作者： Xingyan Li Xi Chen Meng Li Haoran Wei Xuming Yang Shenghua Ye Liewu Li Jing Chen Xiangzhong Ren Xiaoping Ouyang Jianhong Liu Xiangtong Meng Jieshan Qiu Biwei Xiao Qianling Zhang Jiangtao Hu Graphene Composite Research Center College of Chemistry and Environmental EngineeringShenzhen UniversityShenzhen 518060People’s Republic of China GRINM(Guangdong)Research Institute for Advanced Materials and Technology Foshan 528051GuangdongPeople’s Republic of China School of Materials Science and Engineering Xiangtan UniversityXiangtan 411105People’s Republic of China College of Chemical Engineering State Key Laboratory of Organic-Inorganic CompositesState Key Laboratory of Chemical Resource EngineeringBeijing University of Chemical TechnologyBeijing 100029People’s Republic of China

The transition to renewable energy sources has elevated the importance of SIBs(SIBs)as cost-effective alternatives to lithium-ion batteries(LIBs)for large-scale energy *** review examines the mechanisms of gas generation in SIBs,identifying sources from cathode materials,anode materials,and electrolytes,which pose safety risks like swelling,leakage,and *** such as CO_(2),H_(2),and O_(2) primarily arise from the instability of cathode materials,side reactions between electrode and electrolyte,and electrolyte decomposition under high temperatures or *** mitigation strategies,encompassing electrolyte design,buffer layer construction,and electrode material optimization,are deliberated ***,subsequent research endeavors should prioritize long-term high-precision gas detection to bolster the safety and performance of SIBs,thereby fortifying their commercial viability and furnishing dependable solutions for large-scale energy storage and electric vehicles.

关键词： Sodium-ion batteries Gas evolution mechanism Inhibition strategies of gas generation High-performance sodium-ion battery roadmap

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Assessment of Soil-Rock Mixture Slope Failure Considering Two-Phase Rotated Anisotropy Random Fields

引用

INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS 2025年第4期49卷 1113-1125页

作者： Qu, Chuanxiang Liu, Yutong Guo, Haowen Fang, Hongjie Cheng, Kaihao Yuan, Haoran Chen, Yong Hong Kong Univ Sci & Technol Dept Civil & Environm Engn Hong Kong Peoples R China Hong Kong Polytech Univ Dept Civil & Environm Engn Hung Hom Hong Kong Peoples R China Chinese Acad Sci Guangzhou Inst Energy Convers CAS Key Lab Renewable Energy Guangdong Prov Key Lab New & Renewable Energy Res Guangzhou Peoples R China Wuhan Univ Inst Engn Risk & Disaster Prevent Sch Water Resources & Hydropower Engn State Key Lab Water Resources Engn & Management Wuhan Peoples R China Chinese Univ Hong Kong Sch Life Sci Hong Kong Peoples R China

Soil-rock mixture (SRM) slopes consist of soils and rocks and are widely distributed globally. In addition to heterogeneity and discontinuity within SRM slopes, the inherent spatial variability can be observed in soil and rock properties. However, spatial variability in rock and soil properties and layouts has not been well considered in the stability analysis of SRM slopes. Additionally, SRM slopes commonly show a rotated anisotropic fabric pattern, while such fabric has rarely been accounted for in SRM slope stability analysis. In this study, a two-phase rotated anisotropy random field simulation method is proposed to model these spatial variations simultaneously. The proposed approach is then integrated with the finite element method (FEM) to study the impacts of soil volume fraction and bedding dip angle (i.e., rotated anisotropy) on the probability of failure (pf) and failure mode of SRM slopes. It is found that considering only spatially varying layouts can underestimate pf by up to 97% compared to considering both spatially variable properties and layouts. The increase in soil volume fraction significantly improves pf and the likelihood of deep failure. The bedding dip angle greatly influences pf, yet deep failure remains dominant across different bedding dip angles. Furthermore, the failure mode of SRM slopes is more sensitive to the changes in soil volume fraction than to bedding dip angle.

关键词： failure mode random finite element method rotated anisotropy soil-rock mixture spatial variability two-phase random

来源：评论

学校读者我要写书评

暂无评论

Target-triggered core-satellite assemblies with fluorescence-SERS cascade amplification for intracellular microRNA detection

引用

SENSORS AND ACTUATORS B-CHEMICAL 2025年 437卷

作者： Liu, Conghui Huang, Juejiao Liu, Ruixiang Zhu, Yan Xu, Tailin Shenzhen Univ Inst Adv Study Coll Chem & Environm Engn Shenzhen 518060 Guangdong Peoples R China

Controllable DNA-assembled plasmonic nanosensing platforms represent a promising approach for intracellular nucleic acid detection based on the significant optical signal changes induced by target recognition. In this work, we engineered a target-triggered self-assembly strategy for intracellular microRNA-21 (miRNA-21) detection with fluorescence-SERS cascade amplification. This strategy employs telomerase (TE) as the catalytic driver, gold nanoparticles and gold nanorods as the assembled components, and a strand displacement amplification (SDA) reaction as the linking tool. In the presence of both miRNA-21 and TE, the platform undergoes target-triggered core-satellite assemblies, enabling fluorescence recovery and SERS signal enhancement via plasmonic couplinginduced "hot spots". By this sensing strategy, the target miRNA-21 can be detected in a wide linear range (10 fM to 100 pM) with a limit of detection of 0.165 fM in the SERS mode and 0.196 fM in the fluorescence mode. This highly specific dual-signal response minimizes false positives, addressing cancer biomarker heterogeneity and improving the reliability of early cancer diagnosis. By integrating sensitivity, specificity, and a multi-dimensional optical readout, this strategy represents a potential tool in live-cell sensing and biomarker-driven cancer diagnostics.

关键词： Biosensors MicroRNA detection Surface-enhanced Raman scattering Nanoassembly

来源：评论

学校读者我要写书评

暂无评论

A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications

引用

IEEE TRANSACTIONS ON VEHICULAR technology 2024年第6期73卷 7722-7732页

作者： Chen, Longquan He, Ying Yu, F. Richard Pan, Weike Ming, Zhong Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China Xidian Univ State Key Lab Integrated Serv Networks Xian 710071 Peoples R China Shenzhen Univ Shenzhen 518060 Peoples R China Shenzhen Technol Univ Shenzhen 518060 Peoples R China

Most autonomous driving studies incorporating vehicle-to-everything (V2X) communications assume the existence of continuous V2X communications, and ignore the possibility that V2X communications can be interrupted intermittently. However, when V2X communications are interrupted, autonomous vehicles that rely on the information from V2X communications can fall into disasters. To address these issues, we propose a novel reinforcement learning method named RL4V2X for decision-making and motion-controlling of autonomous driving. This method is composed of a convolutional neural network (CNN), a gate recurrent unit (GRU) and three gate networks. Specifically, the CNN extracts a vehicle spatial distribution to better represent the traffic. The GRU constructs the sequence features to characterize the dynamics of traffic, which can be used to compensate for the lack of information when V2X communications are interrupted. In addition, the gate networks assign the confidence to different features according to the interruption situations. Extensive simulation results in different traffic conditions demonstrate the superior performance of the proposed method.

关键词： Vehicle-to-everything Autonomous vehicles Decision making Logic gates Convolutional neural networks Simulation Base stations Autonomous driving reinforcement learning vehicle-to-everything (V2X communications)

来源：评论

学校读者我要写书评

暂无评论

A Minimum Operator Based Discrete-Time Super-Twisting-Like Algorithm

引用

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS 2024年第1期71卷 286-290页

作者： Prasun, Parijat Pandey, Sunidhi Kamal, Shyam Ghosh, Sandip Xiong, Xiaogong Indian Inst Technol BHU Varanasi Dept Elect Engn Varanasi 221005 India Harbin Inst Technol Dept Mech & Automat Shenzhen 518055 Peoples R China

In this brief, a minimum operator (MO) based approach is proposed for discrete-time super-twisting-like algorithm which has different roots unlike its contemporaries, most of which are based on Euler-discretization (ED). The algorithm is proposed for both unperturbed and perturbed cases. The application of this algorithm is further explored for the super-twisting observer (STO) that yields the finite-time estimation of the system states. An illustrative example of a pendulum system with known as well as unknown input is considered for the state observation problem. Simulation results show the effectiveness of the proposed algorithm.

关键词： Discrete-time sliding mode control super-twisting algorithm minimum operator observer design

来源：评论

学校读者我要写书评

暂无评论

Modulating the Doping Effect for Carbon Nanotube-Based Thermoelectric Composites by Radical-Containing Naphthalene Diimides

引用

JOURNAL OF PHYSICAL CHEMISTRY LETTERS 2024年第48期15卷 11982-11991页

作者： Huang, Hongfeng Huang, Si Li, Yu Sun, Shiyuan Zhang, Jingyang Xiao, He Wang, Lei Liu, Danqing Shenzhen Univ Coll Mat Sci & Engn Shenzhen Key Lab Polymer Sci & Technol Shenzhen 518060 Peoples R China

Carbon nanotube-based organic thermoelectric composites have garnered a significant amount of research interest due to their synergistic benefits of the high electrical conductivity of carbon nanotubes and the low thermal conductivity of organic materials. Nevertheless, the correlation between the organic molecular structures and the thermoelectric properties of these composite systems has remained largely unexplored. This study delves into the doping effects of radical-containing naphthalene diimides (NDIs) on single-walled carbon nanotubes (SWCNTs) through molecular engineering. It finds that the structures of radical groups crucially impact the frontier energy levels of NDI molecules, thus influencing doping effects on SWCNTs. Conjugated phenoxy radicals enhance p doping, yielding superior n-type thermoelectric properties, while nonconjugated radicals promote n doping, enhancing p-type characteristics. This work highlights the enormous potential of molecular engineering through modulating doping effects for novel TE materials in energy conversion and utilization applications.

关键词： Naphthalene

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：