[目的]以构建广东省东莞市生态网络格局为目标,评估生态廊道重要性以及识别生态廊道夹点、障碍点,确定生态保护修复的关键区域,提出相应生态修复策略,为后续相关国土空间规划与相关专项规划的编制和调整提供科学依据。[方法]基于传统的...[目的]以构建广东省东莞市生态网络格局为目标,评估生态廊道重要性以及识别生态廊道夹点、障碍点,确定生态保护修复的关键区域,提出相应生态修复策略,为后续相关国土空间规划与相关专项规划的编制和调整提供科学依据。[方法]基于传统的“生态源识别—建立阻力面—提取生态廊道”研究思路,加入城市大数据兴趣点(points of interest,POIs),弥补生态源地识别与阻力面构建精度不足的问题,再通过电路理论识别区域生态廊道与生态夹点、障碍点,从而构建东莞市整体生态网络格局。[结果](1)共识别生态源29处,占研究区面积20.45%,主要位于东莞市南部片区;(2)共生成生态廊道74条,其中潜在生态廊道12条,水乡片区以及市域边缘区生态廊道需要重点关注与保护。[结论]东莞市南部生态条件较好,生态源地较为集中,但城市边缘区以及北部水乡片区生态夹点与障碍点较多,需要进行重点生态修复与维护。展开更多
Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,usin...Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,using Machine Learning(ML)algorithms to predict passengers’trip purpose from Smart Card(SC)data and Points-of-Interest(POIs)data.The feasibility of the framework is demonstrated in two phases.Phase I focuses on extracting activities from individuals’daily travel patterns from smart card data and combining them with POIs using the proposed“activity-POIs consolidation algorithm”.Phase II feeds the extracted features into an Artificial Neural Network(ANN)with multiple scenarios and predicts trip purpose under primary activities(home and work)and secondary activities(entertainment,eating,shopping,child drop-offs/pick-ups and part-time work)with high accuracy.As a case study,the proposed ActivityNET framework is applied in Greater London and illustrates a robust competence to predict trip purpose.The promising outcomes demonstrate that the cost-effective framework offers high predictive accuracy and valuable insights into transport planning.展开更多
The use of rodenticides in Gaza in the past years becomes easy due to rodent outbreak. The municipalities allow the use of rodenticides without quality control or technical supports. This situation leads to an easy pu...The use of rodenticides in Gaza in the past years becomes easy due to rodent outbreak. The municipalities allow the use of rodenticides without quality control or technical supports. This situation leads to an easy purchasing of zinc phosphide or its analog. This resulted in acute poising among adults and children. Herein we reported an accidental zinc phosphide poisoning to an adult man and discussed the associated medical complications with this case. Gastric lavage followed by atropine and vitamin K gavage on the 1st day of poisoning (hospital admission) resulted in a slight improvement of the case. Clinical symptoms included severe abdominal colic without losing conscious. Complete blood count (CBC) showed elevated levels of white blood cells (WBCs) and granulocytes (GRAN) levels indicating medical complication of the case. Biochemical analysis showed elevated levels of liver and cardiac biomarkers indicating potential liver and heart injuries. Continuous gavage of vitamin K, resulted in a gradual improvement of the case. On the 4th day of medical period, abdominal colic disappeared and CBC parameters became near the reference range. Consequently, the patient was set free from the hospital.展开更多
In the plant innate immune system,pattern recognition receptor(PRR)and nucleotide-binding domain leucine-rich repeat(NLR)proteins recognize pathogens and activate defenses.To prevent excessive immune responses that co...In the plant innate immune system,pattern recognition receptor(PRR)and nucleotide-binding domain leucine-rich repeat(NLR)proteins recognize pathogens and activate defenses.To prevent excessive immune responses that could affect growth,plants regulate PRRs and NLRs at the transcriptional and post-transcriptional levels.Poised or bivalent chromatin states,marked by the simultaneous presence of active and repressive epigenetic modifications,maintain genes in a transcriptionally primed state,keeping their expression low while enabling their rapid activation in response to stress.Here,we investigated how poised chromatin states regulate PRR and NLR genes in soybean(Glycine max).Our integrative epigenomic and transcriptomic analysis revealed that although NLR and PRR genes both harbor abundant active and repressive histone modifications and exhibit high chromatin accessibility,their basal expression levels remain relatively low.Moreover,clustered NLR and PRR genes residing within the same topologically associating domains shared similar chromatin states and expression dynamics,suggesting coordinated control.These gene families had distinct epigenetic features:NLR genes displayed narrow H3K27me3 peaks together with strong pausing of RNA Polymerase II at their 5′ends,whereas PRR genes were characterized by broader H3K27me3 peaks.Together,our results shed light on the role of poised chromatin states in coordinating growth and defense responses in soybean.展开更多
针对室内兴趣点(point of interest,POI)显著度评价问题,提出了一种基于数据平衡的随机森林(random forest,RF)模型。鉴于现有模型在处理数据不均衡及模拟显著度与影响指标之间复杂非线性关系方面的局限性,聚焦视觉、语义和结构三大维度...针对室内兴趣点(point of interest,POI)显著度评价问题,提出了一种基于数据平衡的随机森林(random forest,RF)模型。鉴于现有模型在处理数据不均衡及模拟显著度与影响指标之间复杂非线性关系方面的局限性,聚焦视觉、语义和结构三大维度,构建了包含34项特征的指标体系。通过合成少数类过采样技术(synthetic minority over-sampling technique,SMOTE)有效缓解数据不平衡和基于重要性权重的特征优化,形成了随机森林评价模型。实验结果表明,该模型在室内POI数据集上展现出卓越的性能,其准确率、精确度、召回率、加权F1分数和曲线下面积分别达到了0.987、0.984、0.987、0.987和0.999;与未进行数据均衡处理的RF模型相比,性能提升了一倍;与其他模型(如支持向量机、遗传规划算法)相比,性能分别提升了15%和5%,且在测试集上也显示出了良好的泛化性能。展开更多
文摘[目的]以构建广东省东莞市生态网络格局为目标,评估生态廊道重要性以及识别生态廊道夹点、障碍点,确定生态保护修复的关键区域,提出相应生态修复策略,为后续相关国土空间规划与相关专项规划的编制和调整提供科学依据。[方法]基于传统的“生态源识别—建立阻力面—提取生态廊道”研究思路,加入城市大数据兴趣点(points of interest,POIs),弥补生态源地识别与阻力面构建精度不足的问题,再通过电路理论识别区域生态廊道与生态夹点、障碍点,从而构建东莞市整体生态网络格局。[结果](1)共识别生态源29处,占研究区面积20.45%,主要位于东莞市南部片区;(2)共生成生态廊道74条,其中潜在生态廊道12条,水乡片区以及市域边缘区生态廊道需要重点关注与保护。[结论]东莞市南部生态条件较好,生态源地较为集中,但城市边缘区以及北部水乡片区生态夹点与障碍点较多,需要进行重点生态修复与维护。
基金This work is part of the Consumer Data Research Centre project(ES/L011840/1)funded by the UK Economic and Social Research Council(grant number 1477365).
文摘Predicting trip purpose from comprehensive and continuous smart card data is beneficial for transport and city planners in investigating travel behaviors and urban mobility.Here,we propose a framework,ActivityNET,using Machine Learning(ML)algorithms to predict passengers’trip purpose from Smart Card(SC)data and Points-of-Interest(POIs)data.The feasibility of the framework is demonstrated in two phases.Phase I focuses on extracting activities from individuals’daily travel patterns from smart card data and combining them with POIs using the proposed“activity-POIs consolidation algorithm”.Phase II feeds the extracted features into an Artificial Neural Network(ANN)with multiple scenarios and predicts trip purpose under primary activities(home and work)and secondary activities(entertainment,eating,shopping,child drop-offs/pick-ups and part-time work)with high accuracy.As a case study,the proposed ActivityNET framework is applied in Greater London and illustrates a robust competence to predict trip purpose.The promising outcomes demonstrate that the cost-effective framework offers high predictive accuracy and valuable insights into transport planning.
文摘The use of rodenticides in Gaza in the past years becomes easy due to rodent outbreak. The municipalities allow the use of rodenticides without quality control or technical supports. This situation leads to an easy purchasing of zinc phosphide or its analog. This resulted in acute poising among adults and children. Herein we reported an accidental zinc phosphide poisoning to an adult man and discussed the associated medical complications with this case. Gastric lavage followed by atropine and vitamin K gavage on the 1st day of poisoning (hospital admission) resulted in a slight improvement of the case. Clinical symptoms included severe abdominal colic without losing conscious. Complete blood count (CBC) showed elevated levels of white blood cells (WBCs) and granulocytes (GRAN) levels indicating medical complication of the case. Biochemical analysis showed elevated levels of liver and cardiac biomarkers indicating potential liver and heart injuries. Continuous gavage of vitamin K, resulted in a gradual improvement of the case. On the 4th day of medical period, abdominal colic disappeared and CBC parameters became near the reference range. Consequently, the patient was set free from the hospital.
基金financially supported by the Fundamental Research Funds for the Central Universities to ZZH.
文摘In the plant innate immune system,pattern recognition receptor(PRR)and nucleotide-binding domain leucine-rich repeat(NLR)proteins recognize pathogens and activate defenses.To prevent excessive immune responses that could affect growth,plants regulate PRRs and NLRs at the transcriptional and post-transcriptional levels.Poised or bivalent chromatin states,marked by the simultaneous presence of active and repressive epigenetic modifications,maintain genes in a transcriptionally primed state,keeping their expression low while enabling their rapid activation in response to stress.Here,we investigated how poised chromatin states regulate PRR and NLR genes in soybean(Glycine max).Our integrative epigenomic and transcriptomic analysis revealed that although NLR and PRR genes both harbor abundant active and repressive histone modifications and exhibit high chromatin accessibility,their basal expression levels remain relatively low.Moreover,clustered NLR and PRR genes residing within the same topologically associating domains shared similar chromatin states and expression dynamics,suggesting coordinated control.These gene families had distinct epigenetic features:NLR genes displayed narrow H3K27me3 peaks together with strong pausing of RNA Polymerase II at their 5′ends,whereas PRR genes were characterized by broader H3K27me3 peaks.Together,our results shed light on the role of poised chromatin states in coordinating growth and defense responses in soybean.
