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Behavior pattern mining based on spatiotemporal trajectory multidimensional information fusion 认领 引用 被引量：1
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作者 Qiaowen JIANG Yu LIU +1 位作者 Ziran DING Shun SUN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2023年第4期387-399,共13页
Trajectory data mining is widely used in military and civil applications,such as early warning and surveillance system,intelligent traffic system and so on.Through trajectory similarity measurement and clustering,targ... Trajectory data mining is widely used in military and civil applications,such as early warning and surveillance system,intelligent traffic system and so on.Through trajectory similarity measurement and clustering,target behavior patterns can be found from massive spatiotemporal trajectory data.In order to mine frequent behaviors of targets from complex historical trajectory data,a behavior pattern mining algorithm based on spatiotemporal trajectory multidimensional information fusion is proposed in this paper.Firstly,spatial–temporal Hausdorff distance is pro-posed to measure multidimensional information differences of spatiotemporal trajectories,which can distinguish the behaviors with similar location but different course and velocity.On this basis,by combining the idea of k-nearest neighbor and density peak clustering,a new trajectory clustering algorithm is proposed to mine behavior patterns from trajectory data with uneven density distribu-tion.Finally,we implement the proposed algorithm in simulated and radar measured trajectory data respectively.The experimental results show that the proposed algorithm can mine target behavior patterns from different complex application scenarios more quickly and accurately com-pared to the existing methods,which has a good application prospect in intelligent monitoring tasks. 展开更多
关键词 Behavior pattern Hausdorff distance Information fusion Spatiotemporal trajectory Trajectory clustering
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The Influence of Public Health Care on Living Behavior Pattern of Chronic Disease High-risk Population 认领 引用
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作者 MO Zhongmi 《外文科技期刊数据库（文摘版）医药卫生》 2021年第10期1175-1177,共3页
Objective: to analyze the impact of public health care on the living behavior pattern of chronic disease high-risk population. Methods: in our hospital in May 2019 to May 2021 were high-risk groups, 40 cases of chroni... Objective: to analyze the impact of public health care on the living behavior pattern of chronic disease high-risk population. Methods: in our hospital in May 2019 to May 2021 were high-risk groups, 40 cases of chronic diseases, random number table method is divided into research group and control group, each 20 cases, control group to carry out the routine nursing care, the team to carry out the public health care, from daily life movement situation, the two aspects of health behavior compliance rating life behavior pattern. Results: after 3 months of intervention, the basal metabolic volume, total energy consumption and daily exercise amount of high-risk groups in the study group were higher than those in the control group, and the health behavior compliance was higher than that in the control group, with statistical significance (P < 0.05). Conclusion: public health nursing can improve the living behavior pattern, daily life movement and health behavior compliance in the high-risk population of chronic diseases. 展开更多
关键词 chronic disease high-risk groups public health care living behavior pattern
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Applicability and Behavior Patterns of Road Space from the Perspective of Young Women:A Case Study of Wangjing South Station 认领 引用
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作者 ZHENG Keying SUN Shuai LIANG Weinan 《Journal of Landscape Research》 2023年第2期65-67,76,共3页
In order to understand the travel characteristics and behavior patterns of women in Wangjing area and explore whether the existing situation can meet women's needs for the use of street space,the area around Wangj... In order to understand the travel characteristics and behavior patterns of women in Wangjing area and explore whether the existing situation can meet women's needs for the use of street space,the area around Wangjing South Station of Metro Line 14 was taken as an example for analysis and research.Wangjing area was classified to the following six use attributes:company enterprise,transportation hub,education and culture,residential area,municipal facilities,leisure and entertainment.The proportion of each use attribute was evaluated according to four levels:A 25%and above(including 25%),B 15%-25%,C 15%-5%,D 5%and below(including 5%).Finally,whether the plot had composite functions was judged,and the spatio-temporal laws and behavior patterns of surrounding women were analyzed from the perspectives of time and space. 展开更多
关键词 Applicability Behavior pattern Travel characteristics
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Long-term trajectory prediction method based on highway vehicle-following behavior patterns 认领 引用 被引量：1
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作者 Zhichao An Yimin Wu +5 位作者 Fan Zhang Dong Zhang Bolin Gao Suying Zhang Guang Zhou Aoning Jia 《Journal of Intelligent and Connected Vehicles》 EI 2025年第1期1-11,共11页
To address existing shortcomings such as short time domains and low interpretability,this study proposes a long-term trajectory prediction model for leading vehicles that considers the impact of traffic flow.Through a... To address existing shortcomings such as short time domains and low interpretability,this study proposes a long-term trajectory prediction model for leading vehicles that considers the impact of traffic flow.Through an analysis of trailing trajectory data from the HighD natural driving dataset,fitting relationships for the following behavior patterns were derived.Building upon the intelligent driver model(IDM),three long-term trajectory prediction models were established:acceleration delta velocity(ADV),space delta velocity intelligent driver model(SDVIDM),and space velocity intelligent driver model(SVIDM).These models were then compared with the IDM model through simulations.The results indicate that when there is one vehicle ahead,under aggressive following conditions,the ADV model outperforms the IDM model,reducing the root mean square errors in acceleration,speed,and position by 79.61%,91.26%,and 87.82%,respectively.In scenarios with two vehicles ahead and conservative short-distance following,the SDVIDM model exhibits reductions of 83.42%,92.85%,and 92.25%,while the SVIDM model shows reductions of 82.31%,92.47%,and 94.02%,respectively,compared to the IDM model. 展开更多
关键词 highways long-term trajectory prediction leading vehicle behavior patterns car-following model
Social Media Data Analysis:A Causal Inference Based Study of User Behavior Patterns 认领 引用
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作者 Liangkeyi SUN 《计算社会科学》 2025年第1期37-53,共17页
This study aims to conduct an in-depth analysis of social media data using causal inference methods to explore the underlying mechanisms driving user behavior patterns.By leveraging large-scale social media datasets,t... This study aims to conduct an in-depth analysis of social media data using causal inference methods to explore the underlying mechanisms driving user behavior patterns.By leveraging large-scale social media datasets,this research develops a systematic analytical framework that integrates techniques such as propensity score matching,regression analysis,and regression discontinuity design to identify the causal effects of content characteristics,user attributes,and social network structures on user interactions,including clicks,shares,comments,and likes.The empirical findings indicate that factors such as sentiment,topical relevance,and network centrality have significant causal impacts on user behavior,with notable differences observed among various user groups.This study not only enriches the theoretical understanding of social media data analysis but also provides data-driven decision support and practical guidance for fields such as digital marketing,public opinion management,and digital governance. 展开更多
关键词 Social Media Data Causal Inference User Behavior Patterns Propensity Score Matching Discontinuity Data Preprocessing
Urban-rural differences in residential energy-use behavior and energy-saving awareness:Evidence from a Chinese megacity 认领 引用
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《建筑节能（中英文）》 CAS 2026年第2期150-150,共1页
Residential energy-use behavior and energy-saving awareness play a crucial role in sustainable urban energy planning and building energy efficiency,particularly under the pressures of climate change.However,existing s... Residential energy-use behavior and energy-saving awareness play a crucial role in sustainable urban energy planning and building energy efficiency,particularly under the pressures of climate change.However,existing studies often lack comparative analysis of urban-rural differences and tend to focus excessively on behavior patterns while neglecting the dimension of energysaving awareness.With China’s urbanization rate reaching 66.16%,understanding such regional disparities has become increasingly important.To address these research gaps,this study conducts a large-scale survey on space cooling behaviors among residents in Beijing,a representative Chinese megacity.It should be noted that living standards in such megacities are generally higher than the national average,which may shape distinctive energy-use profiles.Analyzing 1573valid samples(1064 urban/442 rural)in 2024,this study employed K-Prototypes and K-Modes clustering to identify typical cooling behavior and energy-saving awareness pattems,followed by Kendall/Chi-square correlation tests and XGBoost importance analysis to determine key influencing factors,with subsequent urban-rural comparative analysis.Results indicate that urban residents are primarily heat-sensitive or heat-tolerant,with a secondary patten of mid-low temperature preference,and generally exhibit long cooling durations;rural behavior is dominated by heat-tolerant type,followed by heat-sensitive,mid-low temperature preference,and never-on types as secondary patterns;both urban and rural areas exhibit energy-savingawareness characterized by low consumption-lowwillingness,though urban areas show marginally higher motivation;energy-saving awareness correlates with cooling behavior in rural areas,but this relationship weakens significantly in urban contexts. 展开更多
关键词 behavior patterns such regional disparities energy saving awareness residential energy use behavior climate change urban rural differences China Beijing
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Visitors’consistent stay behavior patterns within free-roaming scenic architectural complexes:Considering impacts of temporal,spatial,and environmental factors 认领 引用 被引量：5
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作者 Luying Wang Weixin Huang 《Frontiers of Architectural Research》 CSCD 2024年第5期990-1008,共19页
GPS positioning data are increasingly utilized in environmental behavior studies to explore the spatial-temporal behavioral patterns of individuals.However,individuals’stay behavioral pattern and its influencing fact... GPS positioning data are increasingly utilized in environmental behavior studies to explore the spatial-temporal behavioral patterns of individuals.However,individuals’stay behavioral pattern and its influencing factors,which are particularly significant for the design and management of scenic architectural complexes,have not been thoroughly examined.Using GPS trajectory data collected from the Palace Museum in Beijing(China),this paper investigated the visitors’stay behavior patterns associated with temporal,spatial,and environmental influencing factors.Types of stay behavior and characteristics of stay in main stay areas were automatically recognized using Python algorithms for further and quantitative analysis.Results showed that visitors’stay time exhibited a consistent pattern regarding psychological time allocation,a relatively unsignificant pattern regarding lunch hour,and no clear pattern regarding fatigue feature.Grouped regression analysis showed positive linear relationships with similar slopes between the average stay length and the number of stay occurrences in each type of stay area.Partial correlation analysis revealed the underlying connection between the impact of seats and greenery on stay behavior.Individually,each of the two environmental elements showed limited effect on stay frequency and stay length,while incorporating greenery into seating areas would notably increase both stay frequency and stay length. 展开更多
关键词 GPS trajectory data Free-roaming space Stay behavior pattern Stay area Environmental element The Palace Museum
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Behavior pattern extraction by trajectory analysis 认领 引用
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作者 Jia Wen wjyanyuan@yahoo.com.cn Chao Li Zhang Xiong 《Frontiers of Computer Science》 CSCD 2011年第1期37-44,共8页
Trajectory clustering and behavior pattern extraction are the foundations of research into activity perception of objects in motion. In this paper, a new framework is proposed to extract behavior patterns through traj... Trajectory clustering and behavior pattern extraction are the foundations of research into activity perception of objects in motion. In this paper, a new framework is proposed to extract behavior patterns through trajectory analysis. Firstly, we introduce directional trimmed mean distance （DTMD）, a novel method used to measure similarity between trajectories. DTMD has the attributes of anti-noise, self-adaptation and the capability to determine the direction for each trajectory. Secondly, we use a hierarchical clustering algorithm to cluster trajectories. We design a length-weighted linkage rule to enhance the accuracy of trajectory clustering and reduce problems associated with incomplete trajectories. Thirdly, the motion model parameters are estimated for each trajectory＇s classification, and behavior patterns for trajectories are extracted. Finally, the difference between normal and abnormal behaviors can be distinguished. 展开更多
关键词 trajectory clustering directional trimmedmean distance （DTMD） behavior pattern extraction
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The Role of Beliefs, Perception, and Behavioral Patterns in the Evolution of Psychophysical Disorders 认领 引用
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作者 Ken Ware 《Journal of Behavioral and Brain Science》 2024年第11期297-309,共13页
In accounts of the development and progression of psychophysical disorders such as Hereditary Spastic Paraplegia (HSP) and Facioscapulohumeral Muscular Dystrophy (FSHD), the role of beliefs, perceptions, and behaviora... In accounts of the development and progression of psychophysical disorders such as Hereditary Spastic Paraplegia (HSP) and Facioscapulohumeral Muscular Dystrophy (FSHD), the role of beliefs, perceptions, and behavioral patterns has often been overlooked in favor of a genetically determinist paradigm. This paper explores the impact of NeuroPhysics Treatment (NPT) on patients with HSP and FSHD. Through a series of clinical case reports, I demonstrate how intensive four-day NPT sessions can lead to rapid restoration of lost functions, challenging the conventional view of these disorders. I hypothesize that, by modulating the patient’s perceptual and behavioral frameworks, NPT facilitates the emergence of healthier patterns, suggesting that environmental and psychological factors significantly influence the manifestation and management of these conditions. These findings indicate that the role of genetic inheritance may be overstated and that beliefs and perceptions could play a crucial role in the evolution of psychophysical disorders. The implications of this research extend beyond the traditional treatment paradigms, advocating for a more holistic approach that integrates the psychophysical dimensions of health and challenges the deterministic perspective of genetic inheritance. 展开更多
关键词 NeuroPhysics Treatment Emergence Psychophysical Conditions Perception Beliefs Behavioral Patterns Inheritance Genetics
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Investigating the Effect of Sidewalk Flooring on the Behavioral Pattern (Walking) of Citizens in Urban Spaces (Case Study: Vali asr St., Tehran) 认领 引用
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作者 Hazhir Rasoulpour Masoud Mamandi 《Journal of Construction Research》 2019年第2期30-37,共8页
The present study has evaluated the effect of architectural forms on the walking activity of citizens as a behavioral model in urban physical spaces.The research hypothesis claims that by designing purposeful and appr... The present study has evaluated the effect of architectural forms on the walking activity of citizens as a behavioral model in urban physical spaces.The research hypothesis claims that by designing purposeful and appropriate architectural forms,the behavior and actions of users in urban physical spaces can be to some extent,it designed or controlled,and that the pattern and domains of human behavior in urban streets are the result of the components of environmental quality that are included in the design of that street.The present theoretical proposition has been tested in two sequences from Valiasr Street in Tehran.At the theoretical level,the research method is descriptive-analytical and at the experimental level,it is a survey that has been done using the behavioral research method.The results show that the floor form and street form are the most influential architectural forms in urban physical spaces on the activity of users walking from space in the study sample.Also,some environmental factors have a direct effect on human reactions;The research findings show that people’s speed is directly related to the dimensions of sidewalk carpets and a person tries to take a step according to the senses he receives from the sidewalk flooring form and as a result his speed changes according to those forms. 展开更多
关键词 Architectural forms Behavioral patterns Physical spaces City
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西藏地区冬季客房人行为模式导控下的室内热环境评估 认领 引用 被引量：1
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作者 杨雯 张祥 +3 位作者 文均 刘艺柔 李俊锋 刘加平 《西安建筑科技大学学报（自然科学版）》 北大核心 2026年第1期87-99,共13页
室内人员行为对热环境的调节具有重要作用,是实现热舒适性与节能目标的关键因素.为揭示西藏强辐射地区客房典型人员行为的特征及其在热环境调节中的作用机制,根据问卷调研对客房室内人员行为进行分类,并以拉萨市某民宿为案例,测试和模... 室内人员行为对热环境的调节具有重要作用,是实现热舒适性与节能目标的关键因素.为揭示西藏强辐射地区客房典型人员行为的特征及其在热环境调节中的作用机制,根据问卷调研对客房室内人员行为进行分类,并以拉萨市某民宿为案例,测试和模拟了单一及多行为因素下室内热环境与能耗的变化.结果表明:空调控制行为是决定室内热环境的关键因素,窗户控制行为调节了热环境变化的幅度与速率,开窗时间越早、开窗面积越大,热环境变化越显著;窗帘主要在有太阳辐射时发挥作用,而照明控制行为则主要与能源消耗相关;不同行为对空调能耗影响显著性大小关系:空调设定温度>开窗大小>窗帘控制>窗户控制.研究结果揭示了西藏地区室内人员行为与热环境的关系,并为客房建筑的热环境优化与能源管理提供了依据. 展开更多
关键词 民宿客房 行为模式 室内热环境 房间能耗
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数智赋能下在线学习者认知闭合行为模式分析与激励策略研究 认领 引用 被引量：1
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作者 王希哲 黄欣欣 黄昌勤 《中国电化教育》 CSSCI 北大核心 2026年第5期95-103,共9页
认知闭合反映了学习者在认知过程中为避免模糊与不确定状态的动机,已有研究证实认知闭合状态对学习者的外显行为表现与个体动机具有显著影响,但在线学习环境下的不同认知闭合学习者积极/消极行为影响与对应激励策略仍未明晰。因此,该研... 认知闭合反映了学习者在认知过程中为避免模糊与不确定状态的动机,已有研究证实认知闭合状态对学习者的外显行为表现与个体动机具有显著影响,但在线学习环境下的不同认知闭合学习者积极/消极行为影响与对应激励策略仍未明晰。因此,该研究针对在线学习中的过程数据,结合相关性分析与聚类分析将90名学习者分为低认知闭合、积极高认知闭合与消极高认知闭合三类,从时间与行为维度探究其在线学习行为模式特征与差异,并基于机器学习与大模型智能体为其中的62名消极高认知闭合学习者提供干预,形成激励策略并开展准实验研究。结果表明,所提动机激励策略能有效改善高认知闭合学习者的消极在线学习行为状态,并对其内在动机、学习绩效方面均有积极影响,为数智赋能下的认知闭合模式解析与在线学习提质增效提供理论参考与实践指导。 展开更多
关键词 在线学习 认知闭合 行为模式 ARCS动机模型 激励策略
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Mobile Robot Combination Autonomous Behavior Strategy to Inspect Hazardous Gases in Relatively Narrow Man–Machine Environment 认领 引用 被引量：1
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作者 Xueshan Gao Qingfang Zhang +3 位作者 Mingkang Li Bingqing Lan Xiaolong Fu Jingye Li 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2022年第6期110-122,共13页
Selecting the optimal speed for dynamic obstacle avoidance in complex man–machine environments is a challenging problem for mobile robots inspecting hazardous gases.Consideration of personal space is important,especi... Selecting the optimal speed for dynamic obstacle avoidance in complex man–machine environments is a challenging problem for mobile robots inspecting hazardous gases.Consideration of personal space is important,especially in a relatively narrow man–machine dynamic environments such as warehouses and laboratories.In this study,human and robot behaviors in man–machine environments are analyzed,and a man–machine social force model is established to study the robot obstacle avoidance speed.Four typical man–machine behavior patterns are investigated to design the robot behavior strategy.Based on the social force model and man–machine behavior patterns,the fuzzy-PID trajectory tracking control method and the autonomous obstacle avoidance behavior strategy of the mobile robot in inspecting hazardous gases in a relatively narrow man–machine dynamic environment are proposed to determine the optimal robot speed for obstacle avoidance.The simulation analysis results show that compared with the traditional PID control method,the proposed controller has a position error of less than 0.098 m,an angle error of less than 0.088 rad,a smaller steady-state error,and a shorter convergence time.The crossing and encountering pattern experiment results show that the proposed behavior strategy ensures that the robot maintains a safe distance from humans while performing trajectory tracking.This research proposes a combination autonomous behavior strategy for mobile robots inspecting hazardous gases,ensuring that the robot maintains the optimal speed to achieve dynamic obstacle avoidance,reducing human anxiety and increasing comfort in a relatively narrow man–machine environment. 展开更多
关键词 Social force model Man–machine behavior pattern Dynamic obstacle avoidance
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地理空间视角下融合规则与模式的目标异常交通行为检测方法 认领 引用
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作者 罗霄月 程诗奋 +2 位作者 王艳慧 郭胜敏 陆锋 《地球信息科学学报》 EI CAS CSCD 北大核心 2026年第1期174-193,共20页
【目的】复杂交通场景中的异常行为检测对公共安全监管至关重要。现有方法主要依赖实时轨迹来检测目标的交通违规行为,未充分利用目标历史轨迹数据,难以自动识别偏离正常模式的异常行为。【方法】本文提出了一种融合交通规则与行为模式... 【目的】复杂交通场景中的异常行为检测对公共安全监管至关重要。现有方法主要依赖实时轨迹来检测目标的交通违规行为,未充分利用目标历史轨迹数据,难以自动识别偏离正常模式的异常行为。【方法】本文提出了一种融合交通规则与行为模式的目标异常行为综合探测方法(TraB)。该方法基于道路网拓扑结构提取目标轨迹方位信息,并通过方位聚类算法分析多帧历史轨迹,识别目标行为模式。在此基础上,建立视频图像空间和地理空间之间的映射关系,结合交通规则与目标行为模式,构建了实时与历史轨迹协同分析的综合探测框架,从时间、地点、目标类型和行为模式4个维度多层次分析目标异常行为。【结果】基于2023年河南省信阳市采集的2个真实交通监控视频数据集(共约1.5 h视频、120万个轨迹点)的实验结果表明,TraB方法在精准率(P)、召回率(R)及F1分数等综合检测精度指标上,均显著优于基于低层视频特征的方法(LowF)、基于移动目标轨迹的方法(TraM)和基于深度学习的方法(DeeL)。具体而言,TraB的综合检测指标(P、R、F1)相较于LowF、TraM和DeeL,平均提升幅度分别达到了11.39%~17.81%、14.09%~20.62%和10.06%~23.40%。此外,TraB在复杂交通场景中表现出更高的稳健性,其评估指标标准差相较于LowF、TraM和DeeL最多降低了60.93%。同时,TraB具备智能化检测能力,能够有效识别偏离正常行为模式的异常,为交通场景中的目标行为监测提供了新的研究视角。 展开更多
关键词 监控视频 交通场景 轨迹聚类 行为模式挖掘 地理空间 异常行为检测
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中小学生近视相关行为模式和家庭因素的潜类别分析 认领 引用
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作者 张红梅 李宣 +2 位作者 宋德胜 杜蓓 魏瑞华 《中华实验眼科杂志（中英文）》 CAS CSCD 北大核心 2026年第4期374-380,共7页
目的采用潜类别分析(LCA)探讨中小学生近视患病的高危行为模式及家庭相关因素。方法采用横断面研究,纳入天津地区儿童青少年眼健康队列研究中2755名6~16岁学生。所有研究对象接受非睫状肌麻痹电脑验光和眼轴长度测量,并完成生活方式问... 目的采用潜类别分析(LCA)探讨中小学生近视患病的高危行为模式及家庭相关因素。方法采用横断面研究,纳入天津地区儿童青少年眼健康队列研究中2755名6~16岁学生。所有研究对象接受非睫状肌麻痹电脑验光和眼轴长度测量,并完成生活方式问卷调查,内容包括户外活动时间、饮食习惯、近距离用眼及电子屏幕使用时间。构建LCA模型,将学生划分为不同行为模式,采用多因素Logistic回归分析其与近视风险的关系,并调整父母近视及母亲教育水平等混杂因素。结果LCA识别出三类行为模式:健康行为组(48.7%)、高负荷用眼组(16.0%)、综合风险组(35.2%)。与健康行为组相比,高负荷用眼组近视风险增加1.89倍[比值比(OR)=1.89,95%置信区间(CI):1.52~2.37],综合风险组近视风险增加1.61倍(OR=1.61,95%CI:1.36~1.91)。与母亲教育水平为研究生及以上相比,母亲教育程度为本科的儿童近视风险增加1.55倍(OR=1.55,95%CI:1.22~1.97);母亲教育程度为本科以下的儿童近视风险增加1.62倍(OR=1.62,95%CI:1.19~2.22)。与父母均未近视相比,父母有一方近视时,子女近视风险增加1.68倍(OR=1.68,95%CI:1.36~2.08);双方近视时,子女近视风险增加2.51倍(OR=2.51,95%CI:1.99~3.16)结论中小学生近视的发生与多种行为模式密切相关,包括电子产品使用过多、户外活动时间不足、膳食不均衡及家庭因素。 展开更多
关键词 近视 潜类别分析 行为模式 家庭影响 预防策略
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理工类学科论文零被引率与文献特征之间演变关系的计量比较 认领 引用 被引量：1
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作者 胡泽文 李慧敏 谢少珂 《图书馆论坛》 CSSCI 北大核心 2026年第5期39-52,共14页
量化分析理工类学科零被引和被引论文在文献篇幅、作者数量、参考文献数量和研究主题等文献特征方面的异同,能为科研人员撰写高影响力稿件、出版社筛选稿件、期刊论文评估提供指导。文章基于Web of Science中理工类4个学科在1997-2016... 量化分析理工类学科零被引和被引论文在文献篇幅、作者数量、参考文献数量和研究主题等文献特征方面的异同,能为科研人员撰写高影响力稿件、出版社筛选稿件、期刊论文评估提供指导。文章基于Web of Science中理工类4个学科在1997-2016年期间各年论文出版后五年引用窗口的零被引和被引论文特征数据,计量比较零被引论文和被引论文在页数、作者数量和参考文献数量分布方面的差异,以及不同页数、作者数量和参考文献数量论文零被引率和被引率的变化情况及其之间差异,量化分析零被率的研究主题差异。结果发现,论文零被引率与文献篇幅、作者数量和参考文献数量之间存在反比关系,随着文献篇幅、作者数量和参考文献数量增长,零被引率呈现下降趋势,达到较低的稳定水平;零被引率下降到较低稳定水平的文献特征值区间在理学类和工程类学科之间存在差异。理学类与工程类学科之间,以及1997-2001年和2012-2016年不同周期之间在零被引率随文献特征值增加的变化趋势方面不存在显著差异;无论理学类还是工程类学科,早期(1997-2001)还是新时期(2012-2016),作者偏向于引用较长篇幅和较多参考文献的论文;研究主题、主题热度和主题发展时间差异会对主题论文零被引率产生影响。 展开更多
关键词 引用行为 零被引 演变模式 计量特征 参考文献 论文篇幅 研究主题
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对话式搜索下学生群体的信息搜寻行为对搜索结果质量的影响研究——基于fsQCA的组态分析 认领 引用
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作者 陆伟 张文波 张帆 《情报工程》 2026年第1期86-96,共11页
[目的/意义]本文旨在揭示以学生为主的用户群体在对话式搜索环境下,不同信息搜寻行为特征如何实现高质量的搜索结果。[方法/过程]基于用户实验,通过设计搜索任务与开发对话式搜索交互系统,收集并量化了用户的查询、浏览、点击等信息搜... [目的/意义]本文旨在揭示以学生为主的用户群体在对话式搜索环境下,不同信息搜寻行为特征如何实现高质量的搜索结果。[方法/过程]基于用户实验,通过设计搜索任务与开发对话式搜索交互系统,收集并量化了用户的查询、浏览、点击等信息搜寻行为特征。随后,采用模糊集定性比较分析(fsQCA)方法,探讨了在不同任务复杂度下,信息搜寻行为与搜索结果质量之间的组态关系。[局限]本文的样本规模有限,行为变量选取也存在一定约束,这可能影响研究发现的广泛适用性与覆盖范围,需在未来研究中进一步拓展。[结果/结论]在低任务复杂度条件下,识别出三种能够关联较高搜索结果质量的行为特征组态;而在高任务复杂度情境中,仅有两组组态表现出此类效果。综合来看,这些组态可归纳为快速浏览型、深度探索型、混合探索型和AIGC主导型四类信息搜寻行为模式。研究表明,对话式搜索中信息搜寻行为与结果质量之间存在多重并发因果关系,AIGC主导型的出现也反映出对话式搜索新范式对用户行为模式的影响与重塑。 展开更多
关键词 对话式搜索 信息搜寻行为模式 搜索结果质量 任务复杂度 模糊集定性分析
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生成式人工智能赋能大学生自我调节学习的行为模式与提升路径 认领 引用
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作者 冯汝源 谢卓学 《电化教育研究》 CSSCI 北大核心 2026年第8期98-105,共8页
生成式人工智能为破解大学生自我调节学习过程中的个性化指导不足、学习反馈滞后等问题提供了新路径。研究以国产大模型DeepSeek为例,通过对72名大学生的328段人机对话进行编码分析及深度访谈,探究生成式人工智能赋能大学生自我调节学... 生成式人工智能为破解大学生自我调节学习过程中的个性化指导不足、学习反馈滞后等问题提供了新路径。研究以国产大模型DeepSeek为例,通过对72名大学生的328段人机对话进行编码分析及深度访谈,探究生成式人工智能赋能大学生自我调节学习的行为模式与提升路径。研究发现,大学生在与DeepSeek交互中形成问题驱动型、主动探索型与被动接受型三类行为模式,其分布受学科、年级及使用频率显著影响;DeepSeek通过“需求感知—策略推送—过程干预—效果复盘”路径赋能自我调节学习过程,但学习效能受数据覆盖范围与个性化程度制约;在实践层面,面临技术输出不稳定、学生过度依赖及交互效率不足等挑战。基于此,研究提出分层优化策略:学生层面,提升数字素养与元认知能力;学校层面,推进课程重构、教师培训与评估创新;治理与研发层面,强化政策引导与技术适配,以促进生成式人工智能与高等教育的深度融合。 展开更多
关键词 生成式人工智能 DeepSeek 自我调节学习 大学生 行为模式
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具有防御行为的反应扩散种群数学模型的动力学分析 认领 引用
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作者 刘达卓 谭学文 《佳木斯大学学报（自然科学版）》 CAS 2026年第2期156-159,共4页
针对一类具有防御行为的反应扩散捕食者-食饵种群模型。通过动力系统理论、稳定性分析及数值仿真,模型在特定条件下展现出种群持久性。分析了共存平衡点的存在性与稳定性,并探讨了Turing分支的判别准则。数值仿真验证了理论预测:当捕食... 针对一类具有防御行为的反应扩散捕食者-食饵种群模型。通过动力系统理论、稳定性分析及数值仿真,模型在特定条件下展现出种群持久性。分析了共存平衡点的存在性与稳定性,并探讨了Turing分支的判别准则。数值仿真验证了理论预测:当捕食者扩散系数增大时,系统可自发形成非均匀Turing模式。防御效率对模式形成影响显著:低效率促成模式,高效率则使其消失,系统趋于均匀稳定。这些结果揭示了防御行为与扩散作用如何共同塑造种群空间格局,为理解生态系统空间异质性提供了理论依据。 展开更多
关键词 反应扩散模型 防御行为 Turing模式
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“地区性文化”与城乡家庭中夫妻家务分工之角色承担——刻板印象与经验事实 认领 引用
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作者 杨善华 《山东女子学院学报》 2026年第4期76-82,共7页
城乡家庭中,夫妻角色各有规定是不争的事实。传统的“男主外、女主内”角色分工的固化在社会上形成了一种刻板印象,这种刻板印象会非常具体地体现在夫妻的家务分工方面,但也会因为“地区性文化”的客观存在而受到影响。“地区性文化”... 城乡家庭中,夫妻角色各有规定是不争的事实。传统的“男主外、女主内”角色分工的固化在社会上形成了一种刻板印象,这种刻板印象会非常具体地体现在夫妻的家务分工方面,但也会因为“地区性文化”的客观存在而受到影响。“地区性文化”的影响导致了只通行于本地的、有关家务分工的主流行为模式与价值观念的形成,在实践中对此种背离社会主流价值与刻板印象、表现为“地区性”主流行为模式之不同程度与不同范围的包容,使得各地家庭在夫妻的家务分工方面呈现出多样化的行为模式。 展开更多
关键词 “地区性文化” 传统性别刻板印象 家务分工 主流行为模式
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