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UAV Path Planning Based on an Improved Ant Colony Algorithm

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Journal of Electronic Research and Application 2022年第2期6卷 10-25页

作者： Hui Song Minghan Jia Yihang Lian yijing fan Keshan Liang College of Military Basic Education National University of Defense TechnologyChangsha 410000Hunan ProvinceChina College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073Hunan ProvinceChina

Reviews and experimental verification have found that existing solution methods can be used to solve UAV path planning problems, but each approximate solution has its own advantages and disadvantages. For example, ant colony algorithm easily falls into the local optimum in the process of realizing path planning. In order to prevent too low pheromones on the longer path and too high pheromones in the shorter path, the upper and lower limits of pheromones as well as their volatile factors are set to avoid falling into the local optimum. Secondly, multi-heuristic factors are introduced, and the overall length of the path serves as an adaptive heuristic function factor that determines the probability of state transition, which affects the probability of ants choosing the corresponding path. The experimental results show that the path length planned by the improved algorithm is 93.6% of the original algorithm, and the optimal path length variance is only 14.22% of the original algorithm. The improved ant colony algorithm shortens the optimal path length and solves the UAV path planning problem in terms of local optima. At the same time, multiple enlightening factors are introduced to increase the suitability of UAV for complex environments and improve the performance of UAV.

关键词： UAV Path planning Ant colony algorithm

A comprehensive method for refining essential SDGs variables for land degradation monitoring based on the DPSIR framework

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International Journal of Digital Earth 2023年第1期16卷 741-761页

作者： yijing Zhao Xuesheng Zhao Deqin fan Yue Qiu College of Geoscience and Surveying Engineering China University of Mining and Technology(Beiing)Bejjing.People's Republic of China

The United Nations adopted 17 Sustainable Development Goals(SDGs)to address societal,economic and environmental sustainability issues.The efficiency of SDGs monitoring could be improved by essential variables(EVs),which can help to better deal with massive data,interdisciplinary knowledge and workloads.However,in practice,effectively combining EVs with SDGs monitoring remains challenging.In this paper,we proposed a refining method of essential SDGs variables(ESDGVs)to land degradation.Firstly,we selected northwest China as our experimental region and extracted a group of variables related to land degradation from SDG indicators based on the DPSIR framework.Next,we identify the essential ones using a combined qualitative and quantitative methods with the criteria of feasibility,spatialization,and relevance which considered the issues of data acquisition,monitoring scale,and closeness to the land degradation.Finally,we analysed the monitoring role of ESDGVs.Results show that,compared to conventional observations,ESDGVs facilitate the monitoring and evaluation of regional SDGs with reduced efforts.And both climate and human activities have a facilitating or inhibiting effect on land degradation processes.In the future,we hope to have more mature data sets and consider adding more SDG indicators for ESDGVs’refinement.

关键词： Essential SDGs variables land degradation DPSIR framework comprehensive methods northwest China

Disaggregating population data for assessing progress of SDGs:methods and applications

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International Journal of Digital Earth 2022年第1期15卷 2-29页

作者： Yue Qiu Xuesheng Zhao Deqin fan Songnian Li yijing Zhao College of Geoscience and Surveying Engineering China University of Mining and Technology (Beijing)BeijingPeople’s Republic of China Department of Civil Engineering Ryerson UniversityTorontoCanada

Rapid population growth has had a significant impact on society,economy and environment,which will challenge the achievement of the United Nations Sustainable Development Goals(SDGs).Spatially accurate and detailed population distribution data are essential for measuring the impact of population growth and tracking progress on the SDGs.However,most population data are evenly distributed within administrative units,which seriously lacks spatial details.There are scale differences between the population statistical data and geospatial data,which makes data analysis and needed research difficult.The disaggregation method is an effective way to obtain the spatial distribution of population with greater granularity.It can also transform the statistical population data from irregular administrative units into regular grids to characterize the spatial distribution of the population,and the original population count is preserved.This paper summarizes the research advances of population disaggregation in terms of methodology,ancillary data,and products and discusses the role of spatial disaggregation of population statistical data in monitoring and evaluating SDG indicators.Furthermore,future work is proposed from two perspectives:challenges with spatial disaggregation and disaggregated population as an Essential SDG Variable(ESDGV).

关键词： Population disaggregation dasymetric mapping SDG indicators assessment

Ecological selection of bacterial taxa with larger genome sizes in response to polycyclic aromatic hydrocarbons stress

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Journal of Environmental Sciences 2022年第2期34卷 82-93页

作者： Yuzhu Dong Shanghua Wu Haonan fan Xianglong Li yijing Li Shengjun Xu Zhihui Bai Xuliang Zhuang Key Laboratory of Environmental Biotechnology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China College of Resources and Environment University of Chinese Academy of SciencesBeijing 200049China College of Sino-Danish Center University of Chinese Academy of SciencesBeijing 100049China

Polycyclic aromatic hydrocarbons(PAHs)are ubiquitous priority pollutants that cause great damage to the natural environment and health.Average genome size in a community is critical for shedding light on microbiome's functional response to pollution stress within an environment.Here,microcosms under different concentrations were performed to evaluate the selection of PAHs stress on the average genome size in a community.We found the distinct communities of significantly larger genome size with the increase of PAHs concentration gradients in soils,and consistent trends were discovered in soils at different latitudes.The abundance of Proteobacteria and Deinococcus-Thermus with relatively larger genomes increased along with PAHs stress and well adapted to polluted environments.In contrast,the abundance of Patescibacteria with a highly streamlined and smaller genome decreased,implying complex interactions between environmental selection and functional fitness resulted in bacteria with larger genomes becoming more abundant.Moreover,we confirmed the increased capacity for horizontal transfer of degrading genes between communities by showing an increased connection number per node positively related to the nid A gene along the concentration gradients in the co-occurrence network.Our findings suggest PAHs tend to select bacterial taxa with larger genome sizes,with significant consequences for community stability and potential biodegradation strategies.

关键词： Pollution stress Polycyclic aromatic hydrocarbons(PAHs) Genome size Horizontal gene transfer Soil microbial community

Performance of personalized ventilation in mitigating short-range airborne transmission under the influence of multiple factors

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Building Simulation 2023年第11期16卷 2077-2092页

作者： Chunwen Xu yijing Ren Na Li Li Liu Xiong Mei Yanchao fan College of Pipeline and Civil Engineering China University of PetroleumQingdao266580China Department of Building Science School of ArchitectureTsinghua UniversityBeijing100084China School of Energy and Power Engineering Changsha University of Science and TechnologyChangsha410114China East China Architectural Design and Research Institute Shanghai200002China

The effectiveness of using personalized ventilation(PV)in mitigating airborne transmission risk was found to be easily affected by multiple factors.The aim of this study was hereby to evaluate the impacts of several important factors on the performance of PV in airborne disease control for closely ranged occupants.Orthogonal experiments were designed for CFD simulations under different levels of four selected factors.Results indicated that the order of significance of these four factors affecting the intake fraction(IF)of the exposed occupant was as follows:mode of PV use>relative distance between occupants>PV airflow volume>background ventilation.The best combination of the four tested factors was PV of 15 L/s for both the infected source and the exposed occupant,with a relative distance of 2 m between them and mixing ventilation,which would yield an IF of merely 0.0246%.The worst combination was PV of 6 L/s for the exposed occupant only,with a relative distance of 0.86 m under displacement ventilation,indicating an elevated IF of 0.2919%.The increase of PV air volume and relative separation distance both contributed to lower exposure risk,but they were not as influential as the mode of PV use.PV integrated with mixing ventilation and utilized for both infected and susceptible occupants were recommended.The findings in this study will be helpful to provide guidance for the implementation of PV in indoor environment for airborne infection control.

关键词： personalized ventilation intake fraction airborne transmission orthogonal experiment CFD simulation

3D Human Pose Estimation Using Two-Stream Architecture with Joint Training

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 607-629页

作者： Jian Kang Wanshu fan yijing Li Rui Liu Dongsheng Zhou National and Local Joint Engineering Laboratory of Computer Aided Design School of Software EngineeringDalian UniversityDalian116622China Dalian Maritime University Dalian116023China

With the advancement of image sensing technology, estimating 3Dhuman pose frommonocular video has becomea hot research topic in computer vision. 3D human pose estimation is an essential prerequisite for subsequentaction analysis and understanding. It empowers a wide spectrum of potential applications in various areas, suchas intelligent transportation, human-computer interaction, and medical rehabilitation. Currently, some methodsfor 3D human pose estimation in monocular video employ temporal convolutional network (TCN) to extractinter-frame feature relationships, but the majority of them suffer from insufficient inter-frame feature relationshipextractions. In this paper, we decompose the 3D joint location regression into the bone direction and length, wepropose the TCG, a temporal convolutional network incorporating Gaussian error linear units (GELU), to solvebone direction. It enablesmore inter-frame features to be captured andmakes the utmost of the feature relationshipsbetween data. Furthermore, we adopt kinematic structural information to solve bone length enhancing the use ofintra-frame joint features. Finally, we design a loss function for joint training of the bone direction estimationnetwork with the bone length estimation network. The proposed method has extensively experimented on thepublic benchmark dataset Human3.6M. Both quantitative and qualitative experimental results showed that theproposed method can achieve more accurate 3D human pose estimations.

关键词： 3D human pose improved TCN GELU kinematic structure

肿瘤患者静脉血栓栓塞症风险评估的最佳证据总结

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天津护理 2024年第2期32卷 193-197页

作者：赵雨婷张义静孙丽范明逗东南大学附属中大医院江苏南京210009

目的:整合肿瘤患者静脉血栓栓塞症(VTE)风险评估的最佳证据,为肿瘤患者静脉血栓栓塞症风险评估管理,降低肿瘤患者静脉血栓栓塞症的发生率提供参考。方法:检索PubMed、循证卫生保健中心数据库、BMJ最佳临床实践、Cochrane Library、英国... 详细信息

目的:整合肿瘤患者静脉血栓栓塞症(VTE)风险评估的最佳证据,为肿瘤患者静脉血栓栓塞症风险评估管理,降低肿瘤患者静脉血栓栓塞症的发生率提供参考。方法:检索PubMed、循证卫生保健中心数据库、BMJ最佳临床实践、Cochrane Library、英国国家临床医学研究所指南库、美国指南网、Embase、中国知网、万方数据库及中国生物医学文献数据库中所有关于肿瘤患者静脉血栓栓塞症风险评估的证据,包括指南、系统评价、Meta分析、专家共识、最佳临床实践、证据总结及原始研究,检索时间段为2001年8月至2022年8月。由2名经过循证培训的研究人员独立对文献进行筛选、质量评价,形成最佳证据总结。结果:共纳入8篇文献,其中系统评价2篇、指南6篇。从个体因素、肿瘤特征相关因素、肿瘤治疗相关因素、生物标志物4个方面总结了14项最佳证据。结论:对于肿瘤患者进行静脉血栓栓塞症早期风险评估,可以有效预测肿瘤患者静脉血栓栓塞症的发生。医务人员应结合医院的具体管理情况,按照相关级别的循证医学证据建立肿瘤患者静脉血栓栓塞症风险评估的制度、程序和实践标准,提升管理质量。

关键词：肿瘤静脉血栓栓塞症风险评估循证医学

绵阳市男男性行为者对HIV暴露前预防的使用意愿及影响因素

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首都公共卫生 2024年第2期18卷 95-100页

作者：王毅樊静何静朱怡静杜婵娟黄丽贾修伟李伟刘晓琴绵阳市疾病预防控制中心 621000 绵阳同志关爱小组绵阳市涪城区疾病预防控制中心绵阳市游仙区疾病预防控制中心三台县疾病预防控制中心北川羌族自治县疾病预防控制中心绵阳市安州区疾病预防控制中心梓潼县疾病预防控制中心

目的了解绵阳市男男性行为者(MSM)对人类免疫缺陷病毒(HIV)暴露前预防(PrEP)的使用意愿,分析影响因素。方法 2022年1—12月,用滚雪球抽样法进行MSM的PrEP使用意愿等问卷调查,使用χ2检验和logistics回归模型分析PrEP使用意愿的影响因... 详细信息

目的了解绵阳市男男性行为者(MSM)对人类免疫缺陷病毒(HIV)暴露前预防(PrEP)的使用意愿,分析影响因素。方法 2022年1—12月,用滚雪球抽样法进行MSM的PrEP使用意愿等问卷调查,使用χ2检验和logistics回归模型分析PrEP使用意愿的影响因素。结果有效问卷共981份,如药品不免费和免费MSM的PrEP使用意愿分别为19.6%(192人)和48.1%(472人)。期望获得PrEP服务的途径为医院为23.3%(229人)、疾控中心和社会组织均为43.4%(426人)、诊所为95.3%(935人)。PrEP药品不免费时,职业为学生(OR=2.660,95%CI:3.676~5.128)、月收入>5 000元(OR=2.471,95%CI:1.308~4.666),PrEP知晓(OR=6.804,95%CI:4.314~10.730),社区朋友对PrEP使用持支持态度(OR=2.323,95%CI:1.503~3.591)者PrEP的使用意愿较高,艾滋病知识全正确(OR=0.417,95%CI:0.237~0.733)、害怕感染HIV(OR=0.423,95%CI:0.258~0.895)、有预防HIV感染的能力(OR=0.426,95%CI:0.252~0.722)、性角色被插入方(OR=0.566,95%CI:0.347~0.924)和均可(OR=0.504,95%CI:0.309~0.821)者PrEP的使用意愿较低。结论绵阳市MSM PrEP使用意愿较低,其使用意愿受多种因素影响,经济状况和社区支持不佳、对HIV感染的恐惧心理和预防感染能力的盲目自信或制约其PrEP的使用意愿,要针对性开展PrEP宣传促进。

关键词：男男性行为者人类免疫缺陷病毒暴露前预防使用意愿影响因素

Transformable peptide nanoparticles inhibit the migration of N-cadherin overexpressed cancer cells

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Chinese Chemical Letters 2020年第7期31卷 1787-1791页

作者： Jiaqi fan Yu fan Zijin Wei yijing Li Xiangdan Li Lei Wang Hao Wang Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education&Hubei Key Laboratory of Catalysis and Materials Science South-Central University for NationalitiesWuhan 430074China GAS Center for Excellence in Nanoscience CAS Key Laboratory for Biomedical Effects of Nanomaterials and NanosafetyNational Center for Nanoscience and Technology(NCNST)Beijing 100190China

About 90%cancer-related mortality results from the cancer metastasis,which generally undergoes after epithelial-mesenchymal transition(EMT)process.N-Cadherin,overexpressed on cancer cell surface during EMT,can enhance the migration of cancer cells.He rein,we design and synthesize a transformable peptide BP-KLVFF-SWTLYTPSGQSK(BFS)that can block N-cadherin for inhibiting cancer migration and metastasis.The peptide BFS consists of three modules including(1)the hydrophobic bis-pyrene(BP)unit for forming and locating nanoparticles,(2)the KLVFF peptide sequence for forming and stabilizing fibrous structures and(3)the targeting peptide sequence SWTLYTPSGQSK that can specifically bind to Ncadherin.The peptide BFS can form nanoparticles in PBS,which can transform to nanofibers when targeting and binding to N-cadherin.The nanofibers inhibit the migration of N-cadherin overexpressed MDA-MB-436 cancer cells.The peptide BFS shows 83.6%inhibiting rate in cells wound healing assay.In addition,the inhibition rate is 67.9%when the BFS applied in transwell migration assay.These results indicate that the BFS has excellent ability to inhibit migration of cancer cells.This self-assembly strategy could be potentially utilized to regulate the key protein during EMT for inhibiting the tumor metastasis.

关键词： Self-assembly Peptide N-Cadherin Cancer Ligand-receptor interaction