应用近红外光谱法估测小麦叶片糖氮比

糖氮比能够反映作物碳氮代谢的协调程度,及时、准确地监测糖氮比对于作物氮素营养诊断和调控具有重要意义.本研究以不同年份、品种、施氮水平的小麦大田试验为基础,获取鲜叶和粉末状干叶近红外(NIR)光谱及糖氮比信息,分别运用偏最小二乘法(partial least squares, PLS)、BP神经网络(back propagation neural network, BPNN)和小波神经网络(wavelet neural network, WNN)3种方法建立了小麦叶片糖氮比预测模型,并利用随机选择的样品集对所建模型进行测试和检验.结果表明： 小麦鲜叶光谱模型预测性能不佳;而干叶片预测模型表现了较好的准确性,在1655~2378 nm谱区范围内基于3种方法构建的干叶粉末糖氮比估算模型,其预测均方根误差均低于0.3%,决定系数均高于0.9.比较而言,WNN法表现最佳.总体显示,近红外光谱法可以准确预测小麦叶片糖氮比状况,为科学诊断糖氮比提供了理论基础和技术途径.     

2D and 3D sulfate-water supramolecular networks templated via triazole-nickel(II) complexes

Tuning the substituents of triazoles, we obtained di- and tri-nuclearic triazole-nickel complexes [Ni₂(deatrz)₄(H₂O)₅](SO₄)₂ · 7H₂O (1) and [Ni₃(dmtrz)₆(H₂O)₆](SO₄)₃ · 21H₂O (2) (deatrz = 3,5-diethanyl-4-amino-1,2,4-triazole; dmtrz = 3,5-dimethanyl-1,2,4-triazole). The X-ray single-crystal diffraction results reveal that sulfate anions and water clusters form supramolecular networks in both complexes. In 1, a supramolecular two-dimensional structure was fabricated by nano-sized grid with novel tetramer water rings templated via binuclear-nickel(II) cations, while in 2, water molecules and sulfate anions construct the first sulfate-water three-dimensional supramolecular network as host to encapsulate trinuclear-nickel guests.     

Deep Convolution Neural Network Based System for Early Diagnosis of Alzheimer's Disease

ObjectivesAlzheimer's Disease (AD) is the most general type of dementia. In all leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is diagnosed by calculating the MSME score and by the manual study of MRI Scan. Also, different machine learning methods are utilized for automatic diagnosis but existing has some limitations in terms of accuracy. So, main objective of this paper to include a preprocessing method before CNN model to increase the accuracy of classification.Materials and methodIn this paper, we present a deep learning-based approach for detection of Alzheimer's Disease from ADNI database of Alzheimer's disease patients, the dataset contains fMRI and PET images of Alzheimer's patients along with normal person's image. We have applied 3D to 2D conversion and resizing of images before applying VGG-16 architecture of Convolution neural network for feature extraction. Finally, for classification SVM, Linear Discriminate, K means clustering, and Decision tree classifiers are used.ResultsThe experimental result shows that the average accuracy of 99.95% is achieved for the classification of the fMRI dataset, while the average accuracy of 73.46% is achieved with the PET dataset. On comparing results on the basis of accuracy, specificity, sensitivity and on some other parameters we found that these results are better than existing methods.Conclusionsthis paper, suggested a unique way to increase the performance of CNN models by applying some preprocessing on image dataset before sending to CNN architecture for feature extraction. We applied this method on ADNI database and on comparing the accuracies with other similar approaches it shows better results.     

基于网络环境下植物学实验课程的设计与构建

植物学实验网络课程是植物学实验教与学的网络平台。探讨网络环境下植物学实验课程体系的结构和网络教学系统组成,通过建立植物学实验网络辅助教学系统并予以应用,优化整合资源,探索提高植物学实验教学质量的途径。     

中国主要农产品虚拟要素贸易网络结构特征分析

据虚拟水概念定义虚拟要素,并将其划分为虚拟资源要素和虚拟生态要素两类,选取虚拟资源要素中的耕地要素和虚拟生态要素中的化肥/农药要素为研究对象,定量分析2002—2016年以粮食贸易为载体的虚拟耕地、虚拟化肥/农药要素的贸易量,构建虚拟要素贸易网络,通过复杂网络的研究方法,结果表明:2002—2016年我国主要农产品虚拟耕地、化肥/农药要素的贸易总量呈下降趋势,降幅分别约25.51%、8.01%;虚拟耕地要素网络节点入度较大的为长江中下游、华南、西南地区,出度较大的为黄淮海和东北地区,虚拟化肥/农药要素网络与之相反;地区间节点强度的差异性大,虚拟耕地要素差值最大可达1459.56万hm²,虚拟化肥/农药要素达61.38万t;二者网络节点度和强度的累积分布均符合幂律分布规律,其尾部的"重尾"现象揭示了节点度和强度的高可变性以及网络结构的脆弱性;虚拟耕地要素的输入区网络同配,输出区网络异配,揭示了地区间耕地要素的流动既呈集聚又有分散的态势,虚拟化肥/农药要素网络节点相关性皆为减函数,网络异配,揭示了虚拟化肥/农药要素在八大区域间联通的状况。网络结构特征分析为研究网络抗毁...     

中国甜菜夜蛾地理种群的遗传分化与基因流

【目的】为了明确我国甜菜夜蛾Spodoptera exigua地理种群间的遗传分化及基因流,阐明该种害虫在我国的种群历史动态。【方法】本研究对采自我国20个地理种群的529头甜菜夜蛾样品进行线粒体COI基因序列测定与分析,利用DnaSP 5.0和Arlequin 3.11软件分析种群间遗传多样性、遗传分化、基因流水平及分子变异,构建了单倍型系统发育树与单倍型网络图。【结果】在所分析的所有529个序列样本中,共检测出10个单倍型,其中Hap_1为所有种群所共享。总群体遗传多样性较低（Hd=0.257±0.025,Pi=0.0007±0.0001,Kxy=0.323）,群体间遗传分化较小（F_ST=0.211）,基因流水平较高（N_m=1.870）。AMOVA分析表明,甜菜夜蛾遗传变异主要来自种群内,种群间变异水平较低。各种群间遗传分化程度与地理距离无显著相关性（R²=0.005,P>0.05）。各单倍型相互散布在不同种群中,未形成明显系统地理结构。中性检验（Tajima’s D=-2.177, P<0.05; Fu’s F_S=-8.629, P<0.05)与错配分布分析表明,我国甜菜夜蛾种群曾经历种群近期扩张。【结论】研究结果揭示,甜菜夜蛾各种群间的基因交流并未受到地理距离的影响,验证了甜菜夜蛾具有高度的迁飞能力。     

Membrane trafficking in plants: new discoveries and approaches

The general organization and function of the endomembrane system is highly conserved in eukaryotic cells. In addition, increasing numbers of studies demonstrate that normal plant growth and development are dependent on specialized tissue and subcellular-specific components of the plant membrane trafficking machinery. New approaches, including chemical genomics and proteomics, will likely accelerate our understanding of the diverse functions of the plant endomembrane system.     

铁摄取调节蛋白Fur功能和作用模式的研究进展

铁是大多数生物必需的微量元素,在健康和疾病,尤其是宿主-病原菌互作过程中发挥着至关重要的作用.细菌胞内铁离子浓度的高低不仅是调节自身高亲和力铁运输系统表达的信号,更是病原菌产生毒素和其他必要毒力因子的关键调控因素.而另一方面,超负荷的铁也会导致致命的细胞毒性.因此,生物体内铁稳态的维持受到严格控制,其中以铁摄取调节蛋白(ferric uptake regulator,Fur)的作用最为显著,其调控网络涵盖了细菌生命活动的各个方面.本综述将基于Fur的生物学功能,围绕其家族分类、结构特点和差异、调控网络和调控机制等方面进行总结和分析,以期为Fur和铁稳态调节等研究提供参考.     

Numerical Simulation of Blood Flow Through Microvascular Capillary Networks

A numerical method is implemented for computing blood flow through a branching microvascular capillary network. The simulations follow the motion of individual red blood cells as they enter the network from an arterial entrance point with a specified tube hematocrit, while simultaneously updating the nodal capillary pressures. Poiseuille’s law is used to describe flow in the capillary segments with an effective viscosity that depends on the number of cells residing inside each segment. The relative apparent viscosity is available from previous computational studies of individual red blood cell motion. Simulations are performed for a tree-like capillary network consisting of bifurcating segments. The results reveal that the probability of directional cell motion at a bifurcation (phase separation) may have an important effect on the statistical measures of the cell residence time and scattering of the tube hematocrit across the network. Blood cells act as regulators of the flow rate through the network branches by increasing the effective viscosity when the flow rate is high and decreasing the effective viscosity when the flow rate is low. Comparison with simulations based on conventional models of blood flow regarded as a continuum indicates that the latter underestimates the variance of the hematocrit across the vascular tree.