应用CSC-GE-80基因芯片筛查人子宫内膜早期异位种植的血管生长相关基因

【目的】探讨子宫内膜异位早期种植的相关基因,特别是与早期种植相关的血管生长基因。【方法】采用裸鼠人子宫内膜皮下种植的方法,建立裸鼠人子宫内膜异位症模型,在种植后14d,取出成模病灶与未种植内膜进行CSC-GE-80基因芯片筛查比较。【结果】在基因表达谱中最有显著性上调基因50个,最有显著性下调基因47个,包括生长因子和细胞因子及其受体的变化,其中生长因子受体结合蛋白10（growth factor receptor-bound protein10,Grb10）与丁酸盐反应因子1（butyrate response factor 1）中表皮生长因子（EGF-response factor 1）上调明显,下调明显胰岛素样生长因子结合蛋白7（insulin-like growth factor binding protein 7）。【结论】通过基因筛查我们初步考虑生长因子结合蛋白10（growth factor receptor-bound protein 10）有可能参与早期异位内膜的血管生长

开发区闲置土地的数量、分布与利用潜力

开发区土地的大量闲置是我国经济发展和城镇建设中应亟待解决的问题 ,本文运用残差原理 ,通过逐步回归分析 ,采用符合评判开发区闲置土地的操作步骤 ,计算分析出国家经济技术开发区和高新技术产业开发区闲置土地的数量、分布与利用潜力 ,为我国开发区闲置土地面积大小的确定和利用潜力的评价提供了一个理论与方法参考 ,同时对我国开发区的调整与健康发展具有一定的指导作用

地理学分级分区类论文的写作

地理学分级分区类论文是依据一定的地理要素评价指标,对研究地域进行等级和区域的划分,并以此揭示地理要素的空间分异规律。分级分区类论文主要包括三方面内容:建立科学、合理的分级和分区标准;依据各级各类指标对研究区的地理要素进行区域划分;对分级、分区的结果进行系统和全面的分析

基于栅格面积成分数据的土地利用格局解释模型稳健估计

针对最小二乘估计不能应用于栅格尺度以面积成分表征的土地利用格局驱动机理分析的难题,本文提出了一种利用偏最小二乘回归法稳健估计该类土地利用格局解释模型的方法。利用该方法能在解释变量间存在多重共线性的情况下,获得基于栅格面积成分数据的土地利用格局解释模型的稳健估计。本文推导了应用偏最小二乘回归分析的数据处理和建模估计过程,并运用该方法开展了针对黄淮海地区耕地、建设用地分布格局及其驱动因子的建模分析,得到了拟合优度高的估计结果。研究表明,偏最小二乘回归分析方法在开展栅格尺度以面积成分表征的土地利用格局驱动机理分析时具备高效与稳健的特征,适宜在类似研究中推广应用

中国西部典型地区土地利用变化对比分析

作者选择中国西部长城沿线农牧交错带的陕西省榆林市榆阳区、西北干旱区河西走廊的甘肃省酒泉市肃州区和西南四川盆地丘陵区的四川省德阳市中江县为3个典型研究区域,对20世纪80年代以来的农村社会经济统计资料、土地概查、土地详查、遥感图像判读以及136个典型农户调查进行分析发现:土地利用的变化既受自然的地球生物物理驱动力的制约,又受社会、经济、技术和历史等因素的影响,具有很强的综合性和地域性。西部地区具有悠久的土地开发历史,其土地覆盖类型多种多样。由于其特殊的自然地理特征和社会、经济、政治等驱动因素的复杂多变,本区的土地覆盖发生了很大的变化,这些变化同农业、林业、牧业等与土地资源利用有关的产业发展以及城市化和土地退化等可持续发展问题密切相关。影响西部地区土地利用变化的驱动因素主要是人口增长与城镇化、固定资产投入与工矿交通产业发展、经济结构调整、科技发展和政策管理等人文因素

Amplitude analysis of the decays D0 → π+π−π+π− and D0 → π+π−π0π0*

Using e+e− annihilation data corresponding to an integrated luminosity of 2.93 fb−1 taken at the center-of-mass energy √s = 3.773 GeV with the BESIII detector, a joint amplitude analysis is performed on the decays D0 → π+π−π+π− and D0 → π+π−π0π0 (non-η). The fit fractions of individual components are obtained, and large interferences among the dominant components of the decays D0 → a1(1260)π, D0 → π(1300)π, D0 → ρ(770)ρ(770), and D0 → 2(ππ)S are observed in both channels. With the obtained amplitude model, the CP-even fractions of D0 → π+π−π+π− and D0 → π+π−π0π0 (non-η) are determined to be (75.2 ± 1.1stat. ± 1.5syst.) % and (68.9 ± 1.5stat. ± 2.4syst.)%, respectively. The branching fractions of D0 → π+π−π+π− and D0 → π+π−π0π0 (non-η) are measured to be (0.688 ± 0.010stat. ± 0.010syst.)% and (0.951 ± 0.025stat. ± 0.021syst.)%, respectively. The amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D0 → 4π when used to determine the CKM angle γ(φ3) via the B− → DK− decay

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies