CFETR水冷陶瓷增殖剂包层模块产氚率实验验证

水冷陶瓷增殖剂（WCCB）包层作为中国聚变工程试验堆（CFETR）候选包层之一，承担着氚增殖、核热提取、屏蔽等重要涉核功能，其中子学设计的可靠性直接影响CFETR氚自持目标的实现。为验证中子学设计工具，即MCNP和FNEDL3.0数据库，在WCCB包层中子学设计中的可靠性，基于研制出的WCCB包层模块，在DT中子环境下开展中子学实验，对以产氚率（TPR）为代表的中子学参数进行了模拟值（C）和实验值（E）对比分析。结果表明，模块中轴线位置处TPR的C/E为0.97?1.08，而模块边缘位置处TPR的C/E为0.65?0.82；模块钛酸锂层边缘区197Au（n，γ）198Au反应率的C/E为0.72?0.90，表明模块边缘区存在非期望的散射中子，导致该区TPR模拟值和实验值偏离较大。     

A Tradeoff Between Accuracy and Speed for K-Means Seed Determination

With a sharp increase in the information volume, analyzing and retrieving this vast data volume is much more essential than ever. One of the main techniques that would be beneficial in this regard is called the Clustering method. Clustering aims to classify objects so that all objects within a cluster have similar features while other objects in different clusters are as distinct as possible. One of the most widely used clustering algorithms with the well and approved performance in different applications is the k-means algorithm. The main problem of the k-means algorithm is its performance which can be directly affected by the selection in the primary clusters. Lack of attention to this crucial issue has consequences such as creating empty clusters and decreasing the convergence time. Besides, the selection of appropriate initial seeds can reduce the cluster’s inconsistency. In this paper, we present a new method to determine the initial seeds of the k-mean algorithm to improve the accuracy and decrease the number of iterations of the algorithm. For this purpose, a new method is proposed considering the average distance between objects to determine the initial seeds. Our method attempts to provide a proper tradeoff between the accuracy and speed of the clustering algorithm. The experimental results showed that our proposed approach outperforms the Chithra with 1.7% and 2.1% in terms of clustering accuracy for Wine and Abalone detection data, respectively. Furthermore, achieved results indicate that comparing with the Reverse Nearest Neighbor (RNN) search approach, the proposed method has a higher convergence speed.     

MnS掺杂多孔碳复合材料的制备及电化学性能（两张发票1000+2500）

褐煤作为低级煤资源利用率不高，但褐煤中具有腐植酸成分，将褐煤中提取的腐植酸作为化肥原料，提取后剩余残渣作为碳源，与MnS纳米粒子制备了MnS@C复合材料。采用XRD、拉曼光谱、XPS、N2吸附-脱附、SEM和TEM对样品进行了表征。将该复合材料应用于锂离子电池负极材料，对其电化学性能进行了测试。结果表明，MnS@C复合材料的比表面积和孔容分别为117.19m2/g和0.044mL/g，该电极在0.1 A/g电流密度条件下循环200次后比容量高达830 mA‧h/g，且电极容量保持率为99%左右。在0.2、0.4、0.8、1.0、1.2和1.6 A/g电流密度下比容量分别为644、522、427、399、373和348mAh/g，展现出良好的倍率性能。MnS@C复合材料优异的电化学性能得益于碳基体的存在，不仅可以缓解MnS纳米粒子在嵌锂/脱锂过程中的体积膨胀，而且展示了锂离子电池高性能的巨大潜力，为褐煤的高值化利用作出巨大贡献。     

溶液法合成的功能无机材料氧化镍对钙钛矿太阳能电池光电性能的影响

功能无机材料氧化镍 （NiO_x） 作为钙钛矿太阳能电池中最有前途的空穴传输材料之一，其有着高空穴迁移率、良好的稳定性、易于加工以及适合的费米能级等优点。但是，由于 NiO_x自身固有电导率低，Ni空位的电离能相当大，未掺杂的 NiO_x中空穴密度受到很大限制，加上孔洞的积累增加了载流子复合的可能，从而降低了有效的电荷收集。因此，优化 NiO_x薄膜的成膜质量是解决上述问题的关键。本文通过溶液法使用乙二醇甲醚（MEA）、乙醇（EA）和去离子水作为溶液，分别制备了 DME-NiO_x、EA-NiO_x 和 NCs-NiO_x 薄膜，并在浓度调节范围内对基于 NiO_x的钙钛矿器件进行优化，最终得到了光电转化效率 （PCE） 为 18.50%，开路电压 (V_oc) 为 1.034 V，短路电流 (J_sc) 为 22.94 mA/cm²，填充因子 （FF） 为 78% ...     

低渗油田高压注水井在线酸化技术研究与试验

为实现对注水井的酸化解堵及增注降压的效果，保障低渗油田开发的高效性与安全性，对低渗油田高压注水井在线酸化技术进行研究和试验分析。制备复合酸液体系，确定在线酸化施工中的注酸速度与强度等参数，并设计在线监测装置实时监控在线酸化施工，检验结果表明，该复合酸液具有较高的螯合性与沉淀抑制性，具有较高的岩粉溶蚀率；应用该复合酸液实施在线酸化施工，施工后试验注水井的地层吸液性及注水量显著上升，井口油压及施工压力显著下降，增注降压效果明显，可解除注水井储层的堵塞物，为提升低渗油田开发的安全性与高效性提供保障。实验结果表明，所提技术使井口的油压由9.11MPa降到1.71MPa、泵注压力由9.77MPa降到7.51MPa，说明能有效缓解井口油压以及泵注压力，加大整体的施工排量，实现增注降压的目标。     

化脓隐秘杆菌对奶牛脾脏组织细胞凋亡的影响

目的观察化脓隐秘杆菌自然感染奶牛脾脏组织的病理学变化,并检测组织细胞中Caspase-3、Caspase-8、Caspase-9、Bax和Bcl-2的表达,以确定化脓隐秘杆菌感染对奶牛脾脏组织细胞凋亡的影响。方法筛检2头化脓隐秘杆菌阴性健康奶牛(对照)和5头自然感染化脓隐秘杆菌的奶牛,收集脾脏组织样本,采用本课题组国家发明专利方法,进行石蜡制片和HE染色,观察脾脏组织病理学变化;采用免疫组织化学方法与本课题组国家发明专利方法相结合,检测奶牛脾脏组织中与细胞正负凋亡相关的调节基因Bax和Bcl-2及凋亡通路蛋白Caspase-3、Caspase-8和Caspase-9的表达情况。结果肉眼观察可见化脓隐秘杆菌自然感染奶牛脾脏肿大、柔软,有出血;病理组织学观察可见脾脏组织出血,水肿,淋巴细胞数量减少,有坏死;脾脏淋巴细胞Caspase-3、Caspase-9和Bax表达阳性,与对照组相比,差异有统计学意义(P <0.05),少量淋巴细胞Caspase-8和Bcl-2表达阳性,与对照组相比,差异无统计学意义(P> 0.05)。结论化脓隐秘杆菌能够引起奶牛脾脏淋巴细胞发生坏死和凋亡;可通过调节脾脏中淋巴细胞Bcl-2家族的活性,引起其Bax和Bcl-2比率改变,增加淋巴细胞线粒体内外膜通透性,导致与凋亡相关因子的释放,激活Caspase-9,进一步激活Caspase-3,从而引起脾脏中淋巴细胞发生凋亡。     

Bio-Based,Self-Crosslinkable Eucommia ulmoides Gum/Silica Hybrids with Body Temperature Triggering Shape Memory Capability

At present, the synthesis of body temperature triggering shape memory polymers usually requires elaborate structural design, which limits their wide application. Herein, starting from bio-based Eucommia ulmoides gum (EUG), a series of EUG/silica hybrids (ESHs) are prepared through a facile one-pot process, in which EUG is epoxied and then self-crosslinked with SiO₂ by epoxy ring-open reaction. Varying the amount of H₂O₂, the shape memory transition temperature (T_trans) of ESHs is adjusted to 47.4–36.6 ℃, which is close to human body temperature (37 ℃). Among them, ESH-17 exhibited the best body temperature triggering shape memory ability (T_trans = 36.6 ℃), which can restore the permanent shape within 60 s at 37 ℃ with a shape fixity ratio of 99% and shape recovery ratio near 100%. In addition, the shape memory mechanism is discussed and shows some application scenarios of ESHs. The as-produced materials can be used as smart biomaterials such as self-tightening sutures, self-sealing root canal filling materials, and so on.