重载流多芯电缆周围的磁场 Ⅰ. 理论模型

多芯电力电缆在低压配电系统中常被用作配电干线，这种重载流电缆周围的极低频磁场可能干扰附近敏感电子设备的正常运行，甚至影响暴露于该场下的人体的健康，为分析这种磁场的分布特性，建立了多芯电缆周围磁场的载流平行螺旋线模型，并推导了周围磁场的简化计算公式，基于所提出的理想模型对电缆周围电磁的特性进行了分析，发现在电缆的半径方向上磁场随距离衰减的速度大于指数衰减速度，在平行于电缆轴线的直线上和在电缆抽轴圆周线上，磁场的幅值和相角都随观测点的位置周期变化，理论计算结果表明，常用规格的多芯电力电缆在载额定电流的情况下，距电缆2m外空间中的磁场已小于有关国际标准的限值。     

Towards sustainability in world fisheries

Fisheries have rarely been 'sustainable'. Rather, fishing has induced serial depletions, long masked by improved technology, geographic expansion and exploitation of previously spurned species lower in the food web. With global catches declining since the late 1980s, continuation of present trends will lead to supply shortfall, for which aquaculture cannot be expected to compensate, and may well exacerbate. Reducing fishing capacity to appropriate levels will require strong reductions of subsidies. Zoning the oceans into unfished marine reserves and areas with limited levels of fishing effort would allow sustainable fisheries, based on resources embedded in functional, diverse ecosystems.     

Composition operators between p-Bloch space and q-Bloch space in the unit ball

Let B_n be the unit ball of C~n and φ= (φ_1,…,φ_n) a holomorphic self-map of B_n. The main purpose of this paper is todiscuss the boundedness and compactness of composition operator C_φ between p-Bloch space β~p(B_n) and q-Bloch space β~p(B_n), where p≥0 and q≥0.     

强非线性受迫振动的多尺度分析

考虑形式为的强非线性振动响应,f(u)是奇非线性的,ε不需要是小的,且m=1,0,或-1。可用两步多尺度逼近获得近似解,与通常的多尺度法不同的是以下两个步骤:(1)失谐采用激励频率的平方Ω~2,并将它作为对所谓“主干曲线”的偏差,(2)定义新的展开参数α=α(ε)。     

具有抗艾滋病毒活性的多肽T22([T5,12yr,L7yr]-PolyphemusinⅡ)骨架构象模拟

用势能平滑搜索方法,在平滑修饰的势能面上对具有抗艾滋病毒HIV－1活性的肽T22（[Tyr^5,12,Tyr^7]-PolyphemusinⅡ）骨架结构进行了全程搜索,得到了该分子骨加结构在修饰势能面上的分子构象全集。用多构象优化方法,选择较适用于肽OPLS力场,采用GB／SA水溶剂模型,优化上述构象集,得到T22骨架结构在水溶液中优势构象集。结果表明势能平滑搜索与多构象优化相结合的构象分析方法是解决含有环结构的柔性分子构象分析中多重最小问题的有效方法。     

利用人工智能神经网络和DEM数据进行植被变化探测

适时精确的探测土地利用和覆盖变化是研究其起因、过程和效应的基础.本研究利用人工智能神经网络对两景不同时期的影像(2003和2004年)进行一次性变化探测.并且输入层中增加了DEM和坡度两个额外"波段".在选取训练样区的过程中,共选取了82个亚类型,其中36个为植被变化亚类型,46个为无变化植被亚类型.NDVI差值法被用于探测变化和无变化的区域,该方法为获取精确的和足够的植被变化类型训练样区提供有效的参考.研究结果显示利用人工智能神经网络探测变化技术所产生的植被变化图,其精度明显高于分类后比较法所产生的植被变化图精度.此外将DEM和坡度作为额外波段结合两景影像得的8个主成分作为输入层,能够有效的提高人工智能神经网络进行山区植被变化探测精度.同时在选取训练样区的过程中,将各不同的变化和无变化的植被类型根据其不同的光谱特征分成不同的亚类型进行取样,对提高人工智能神经网络进行山区植被变化探测精度有着非常重要的促进作用,此处理可以降低山区影像的地形效应.     

The medaka draft genome and insights into vertebrate genome evolution

Teleosts comprise more than half of all vertebrate species and have adapted to a variety of marine and freshwater habitats. Their genome evolution and diversification are important subjects for the understanding of vertebrate evolution. Although draft genome sequences of two pufferfishes have been published, analysis of more fish genomes is desirable. Here we report a high-quality draft genome sequence of a small egg-laying freshwater teleost, medaka (Oryzias latipes). Medaka is native to East Asia and an excellent model system for a wide range of biology, including ecotoxicology, carcinogenesis, sex determination and developmental genetics. In the assembled medaka genome (700 megabases), which is less than half of the zebrafish genome, we predicted 20,141 genes, including approximately 2,900 new genes, using 5'-end serial analysis of gene expression tag information. We found single nucleotide polymorphisms (SNPs) at an average rate of 3.42% between the two inbred strains derived from two regional populations; this is the highest SNP rate seen in any vertebrate species. Analyses based on the dense SNP information show a strict genetic separation of 4 million years (Myr) between the two populations, and suggest that differential selective pressures acted on specific gene categories. Four-way comparisons with the human, pufferfish (Tetraodon), zebrafish and medaka genomes revealed that eight major interchromosomal rearrangements took place in a remarkably short period of approximately 50 Myr after the whole-genome duplication event in the teleost ancestor and afterwards, intriguingly, the medaka genome preserved its ancestral karyotype for more than 300 Myr.     

Soil fertility limits carbon sequestration by forest ecosystems in a CO2-enriched atmosphere

Northern mid-latitude forests are a large terrestrial carbon sink. Ignoring nutrient limitations, large increases in carbon sequestration from carbon dioxide (CO2) fertilization are expected in these forests. Yet, forests are usually relegated to sites of moderate to poor fertility, where tree growth is often limited by nutrient supply, in particular nitrogen. Here we present evidence that estimates of increases in carbon sequestration of forests, which is expected to partially compensate for increasing CO2 in the atmosphere, are unduly optimistic. In two forest experiments on maturing pines exposed to elevated atmospheric CO2, the CO2-induced biomass carbon increment without added nutrients was undetectable at a nutritionally poor site, and the stimulation at a nutritionally moderate site was transient, stabilizing at a marginal gain after three years. However, a large synergistic gain from higher CO2 and nutrients was detected with nutrients added. This gain was even larger at the poor site (threefold higher than the expected additive effect) than at the moderate site (twofold higher). Thus, fertility can restrain the response of wood carbon sequestration to increased atmospheric CO2. Assessment of future carbon sequestration should consider the limitations imposed by soil fertility, as well as interactions with nitrogen deposition.