Evolutionary and ecological implications of cardenolide sequestration in the monarch butterfly

Summary Monarch butterflies sequester cardenolides from their larval host plants in the milkweed genusAsclepias for use in defense against predation. Of 108Asclepias species in North America, monarchs are known to feed as larvae on 27. Research on 11 of these has shown that monarchs sequester cardenolides most effectively, to an asymptote of approximately 350 g/0.1 g dry butterfly, from plants with intermediate cardenolide contents rather than from those with very high or very low cardenolide contents. SinceAsclepias host plant species are distributed widely in space and time across the continent, monarchs exploit them by migration between breeding and overwintering areas. After overwintering in central Mexico, spring migrants east of the Rocky Mountains exploit three predominantAsclepias species in the southern USA that have moderately high cardenolide contents. Monarchs sequester cardenolides very effectively from these species. First generation butterflies are thus well protected against predators and continue the migration north. Across the northern USA and southern Canada most summer breeding occurs on a fourthAsclepias species and in autumn most of these monarchs migrate back to Mexican overwintering sites. The ecological implications of this cycle of cardenolide sequestration for the evolution of monarch migration are discussed.     

Chemical ecology of oviposition in phytophagous insects

Summary Selection of a suitable site for oviposition by phytophagous insects is critical for successful development of the offspring. The behavioral events leading to oviposition are mediated to a large extent by chemical cues associated with potential host plants. Orientation and landing are primarily guided by volatile constituents of a plant, whereas assessment of a leaf surface depends on contact stimuli. Chemical mechanisms that ensure adequate spacing of progeny on limited resources include the production of oviposition-deterring pheromones as well as recognition of plant constituents released as a result of previous damage. Perception of chemical cues that affects oviposition involves receptors on antennae, tarsi, mouthparts or the ovipositor. Complex behavior such as tarsal drumming or stem runs may serve to provide increased receptor contact with chemical stimuli. Abiotic and biotic environmental factors often influence the production or release of behavior-modifying chemicals by a plant, and therefore affect oviposition preferences. Plant chemistry may be involved in associative learning, but may also lead to mistakes. Thus a clear correlation between oviposition preference and offspring success does not always exist.     

东北特产药用植物—东北龙胆的研究

东北龙胆是我省西部重要资源植物,著名的中药。值得注意的是这一自然资源已经遭到破坏,而且因其种子萌发条件和现有生态环境不一致,看来难以恢复。本文研究了东北龙胆的生态分布,形态解剖特征和生物学特征,以及恢复这一资源的途径和技术关键。本文指出了东北龙胆的某些重要特征:一般生境为“洼中岗”,种子萌发时需光:以赤霉素处理种子经水洗后浮水培养可加快种子萌发并提高发芽率。此外,子叶出现之后约两周以上才出现第一对真叶;根可在切断的根或茎的断面上直接再生而不经过脱分化阶段;新根首先在形成层处发生,如果由于某种原因未能在这里发生,则其次在皮层或其它薄壁组织中发生;在发育节律上的特点是8月末开花,而且一直生长到因霜冻而死。所有这些被揭露的特点。从理论到应用,为这一药用植物的种质保存和资源恢复提供了某种保证。     

基于案例分析的人工湿地尾水处理技术进展

人工湿地技术综合了基质、微生物和植物对水中污染物的协同去除机制,广泛用于提升污水厂尾水水质,是一种绿色低耗的生态修复技术.本文汇总了以人工湿地为核心技术的众多城镇污水处理厂尾水资源化案例,对人工湿地技术的不同工艺运行方式和优缺点进行了分类归纳,提出依据不同水质特征量身设计复合人工湿地工艺的策略,为污水处理厂尾水的资源化利用提供参考.     

动态无线充电系统功率波动抑制技术研究

设计了一种新型的双通道动态无线充电系统耦合机构,以解决动态无线充电系统在分段式发射导轨切换处的功率跌落问题。通过LCC-LCC型补偿拓扑,设计了两路能量传输通道,利用LCC-LCC补偿拓扑的恒流特性,推导了系统输出以及损耗与两通道耦合参数之间的关系,实现了较为稳定的功率传输,提升了系统的抗偏移特性以及抗跌落能力。最后对所提方法进行了仿真和实验,验证了双通道动态无线电能传输方案的可行性。     

基于改进RPN的孪生小样本电力目标检测

为了解决当前电力系统巡检难度大、效率低、数据不足以支撑大规模训练的问题,提出一种基于孪生网络的小样本检测方法。首先,在Faster RCNN(faster region convolutional neural network)目标识别算法的框架下,搭建支持图片和查询图片共享的孪生网络模型;然后,利用改进的RPN(region proposal network)模块产生更高质量的proposals;最后,在检测头上对支持图片和查询图片的RoI(region of interest)进行关联匹配。结果表明,将算法应用于自主构建的EPD(electric power detection)数据集,在仅利用10张支持图片的情况下,就能实现对电力背景下鸟巢异物和绝缘子相关类别的检测,检测指标mAP达到18.92%。与其他算法相比,应用于电力行业目标检测的孪生网络小样本模型,在极端小样本情况下性能优良,同时具有更加轻量化的优势,可为电力检测新方法研究提供参考。     

基于差异化绿色电力交易需求的省级绿色电力市场绩效评价

绿色电力作为环境友好型能源在近年来得到了广泛的应用,为探索省级电力市场绿色电力交易成效,首先通过梳理国外绿色电力市场机制和交易组织情况,并对比分析国内国网区域和南网区域的绿色电力交易现状,总结出国内各网省绿色电力交易的开展情况和规则特点。然后从分布式绿色电力参与市场交易、绿色电力偏差调整和绿色电力曲线形成三个方面,进行了差异化绿色电力交易需求分析与实践探索。最后针对性构建省级绿色电力交易的绩效评价指标体系,并进行实例分析,为省级电力市场绿色电力交易方法和市场评价提供参考方案。     

电增压促进废气再循环对发动机性能的影响

在一台1.5 L带废气涡轮增压的直喷汽油机上进行了电动增压和废气再循环（exhaust gas recirculation, EGR）协同对发动机动力性和经济性的影响规律试验研究。结果表明：全负荷下电动增压促进最高废气再循环率随转速的上升而下降,在4个试验转速下分别提升了17.7%、15.2%、13.84%和0;部分负荷下电动增压促进最高废气再循环率随负荷的提高与转速下降,在6个试验工况下最高废气再循环率分别被提高了23.63%、30.31%、0、14.09%、19.74%和0。全负荷与较低的3个转速下电动增压介入后有效燃油消耗率（brake specific fuel consumption, BSFC）降低近10%,最高转速下废气涡轮增压完全取代电动增压;部分负荷下的两组工况内,电动增压介入后,最高BSFC降低了10.8%和8.4%。结论表明合理应用电增压促进最高废气再循环率可以提升发动机的燃油经济性并保持较高的动力性。     

IRS辅助的MISO-SWIPT安全速率最大化算法

为增强系统的稳定性,基于智能反射面（intelligent reflection surface,IRS）辅助安全通信,为用户采用功率分配架构的无线携能传输（simultaneous wireless information and power transfer,SWIPT）技术以提高用户安全速率并降低用户的能量消耗,建立了系统安全速率最大化的目标函数模型;考虑IRS相移约束、基站最大发射功率、功率分配比率约束和用户最低能量采集约束,提出了一种基于交替优化的安全速率最大化算法。利用连续凸近似算法,将目标函数转化为凸的形式;采用交替优化,对耦合变量进行解耦处理;提出一种波束赋形算法以实现安全速率最大化。仿真表明,提出的算法能够有效提升IRS辅助的SWIPT系统的安全速率,至少比其他算法提高了2.63bps/Hz。     

基于预训练模型和多视角循环神经网络的电力文本匹配模型

针对传统方法未能考虑词向量的动态性及句子间交互不充分等问题,提出基于BERT预训练模型及多视角循环神经网络的文本匹配模型。通过BERT-whitening方法对BERT输出的句向量进行线性变换优化,并利用多视角循环神经网络将两句子不同位置的BERT动态词向量进行双向交互计算;将句向量与词粒度交互向量进行融合后计算结果。实验结果表明,提出的模型相较于对比模型有明显性能提升,实用性良好。