贵州黔西南煤矿煤中隐晶质石墨提纯

 摘要：本文对贵州某地煤层中隐晶质石墨进行了提纯试验研究。首先对原矿进行化学成分和矿物组成分析,然后采用酸碱焙烧法,在高温下,在样品中加入适量的碱与之反应,以除大部分硅和部分杂质;待其反应完全后,在一定温度下加入适量酸与其反应,去除其他杂质。最后将提纯后的样品进行石墨与无烟煤的鉴别实验,同时进行样品扫描电镜和电子探针分析,结果证明处理后的样品为高纯化隐晶质石墨。     

湖南柏坊铜矿岩溶特征及其与成矿的关系

柏坊铜矿原为沉积砂岩型铜矿,后经构造、地下热卤水作用,部分成为淋滤再造型铜矿。再造型铜矿体主要产在不整合面凹部的砂砾岩中(Ⅳ号矿体)或产在壶天群构造破碎带及岩溶边缘。认为矿区内淋滤再造型矿体多沿老岩溶和新岩溶构造带分布,这两种岩溶与成矿的关系最为密切。     

基于特征融合的人体行为识别

为克服单个行为表达方法有效性上的不足,提出了一种基于多特征融合和支持向量机(SVM)的人体行为识别(HAR)方法。首先,利用背景差分提取运动显著区域;然后提取运动显著区域的剪影直方图和光流直方图,并采取一定的融合策略,构建融合特征结合SVM识别人体行为。实验以广泛使用的公开数据集Weizmann为研究对象,正确识别率达到99.8%以上。结果表明,提出的特征融合及识别方法能有效地对人体行为进行识别;而且,由于规避了比较耗时的序列匹配操作,减少了计算量。     

任务联盟演化过程行动策略优选的DINs建模

优化选择一定的行动策略能促使任务联盟向期望的目标效果演化。考虑部分事件/行动在不同时段下影响强度不相一致, 使用考虑影响值时变的动态影响网(DINs)对联盟演化过程行动策略优选问题进行建模, 给出因果强度逻辑下概率传播参数设计的一致性条件, 并基于因果强度逻辑进行影响值计算。结合空中进攻作战想定案例进行仿真验证, 计算结果表明, 通过部分事件/行动节点影响值变化下进行策略优选提高了对因果关系的建模能力。     

先验知识下的不确定作战行动过程设计

作战行动过程设计是网络化条件下建立高效指控组织体系中的重要环节, 对组织的高效运行具有重要意义。针对已知先验信息条件下, 如何在动态战场环境下快速寻找最优行动过程问题, 结合动态贝叶斯网和学习型遗传算法(LGA), 构建了基于DBNs的C2组织行动过程问题的数学模型。将先验信息与条件概率表(CPT)相结合, 运用LGA算法寻找最优行动过程。通过仿真实验验证了具有先验知识条件下基于DBNs的行动过程模型以及模型求解方法的可行性和有效性。     

Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition

Much of the existing work on action recognition combines simple features with complex classifiers or models to represent an action. Parameters of such models usually do not have any physical meaning nor do they provide any qualitative insight relating the action to the actual motion of the body or its parts. In this paper, we propose a new representation of human actions called sequence of the most informative joints (SMIJ), which is extremely easy to interpret. At each time instant, we automatically select a few skeletal joints that are deemed to be the most informative for performing the current action based on highly interpretable measures such as the mean or variance of joint angle trajectories. We then represent the action as a sequence of these most informative joints. Experiments on multiple databases show that the SMIJ representation is discriminative for human action recognition and performs better than several state-of-the-art algorithms.     

Graph-based approach for human action recognition using spatio-temporal features

Due to the exponential growth of the video data stored and uploaded in the Internet websites especially YouTube, an effective analysis of video actions has become very necessary. In this paper, we tackle the challenging problem of human action recognition in realistic video sequences. The proposed system combines the efficiency of the Bag-of-visual-Words strategy and the power of graphs for structural representation of features. It is built upon the commonly used Space–Time Interest Points (STIP) local features followed by a graph-based video representation which models the spatio-temporal relations among these features. The experiments are realized on two challenging datasets: Hollywood2 and UCF YouTube Action. The experimental results show the effectiveness of the proposed method.     

锌冶炼固废湿法回收铟工艺进展

稀散金属铟独立矿床很少,常伴生锌硫化矿中,湿法或火法炼锌时铟富集到多种渣中,铟铁酸锌等难浸物存在使铟回收工艺复杂且回收率低。本文重点介绍几种锌固废提铟浸出工艺,常规酸浸原料适用范围少且回收率低,而针对难浸矿物则需采用加压富氧酸浸、热酸浸出、焙烧预处理、氯盐浸出等工艺。锌渣焙烧预处理后难溶硫化铟转化为硫酸铟,难溶硅酸盐结构也可被破坏,铟的浸出率达93%以上。采用复合场强化铟浸出具有很大应用潜力。传统萃取法工艺较复杂、后期操作也不好控制、离子分离困难,采用新型浸出后续处理工艺,包括石灰石中和水解沉淀,水解沉铟、离子交换树脂、生物浸出、真空蒸馏法,实现铟进一步富集。因此,未来辅助使用复合外场或联合多种方法从内部破坏难溶物结构实现铟铁分离和铟铁酸锌的溶解,锌固废提铟工艺革新,研发新型萃取剂均可成为未来发展方向。     

黄酒对实验性铅中毒的拮抗作用研究

为了研究黄酒对小鼠铅水平的影响,建立了小鼠实验性铅中毒模型。将ICR小鼠随机分成空白对照组、模型对照组和黄酒剂量(3个剂量)组。空白对照组饲喂基础饲料,模型对照组连续饲喂高铅饲料,3个剂量组按高、中、低剂量分别饲喂黄酒,并同时饲喂高铅饲料。受试后30d,用等离子体发射光谱法(ICP-AES)测定小鼠血液、肝脏和骨骼的铅含量,结果表明:高、中、低剂量黄酒均能够显著降低小鼠血液和肝脏的铅含量,黄酒对小鼠实验性铅中毒有显著的拮抗作用。     

Lipidation of Temporin-1CEb Derivatives as a Tool for Activity Improvement,Pros and Cons of the Approach

The alarming raise of multi-drug resistance among human microbial pathogens makes the development of novel therapeutics a priority task. In contrast to conventional antibiotics, antimicrobial peptides (AMPs), besides evoking a broad spectrum of activity against microorganisms, could offer additional benefits, such as the ability to neutralize toxins, modulate inflammatory response, eradicate bacterial and fungal biofilms or prevent their development. The latter properties are of special interest, as most antibiotics available on the market have limited ability to diffuse through rigid structures of biofilms. Lipidation of AMPs is considered as an effective approach for enhancement of their antimicrobial potential and in vivo stability; however, it could also have undesired impact on selectivity, solubility or the aggregation state of the modified peptides. In the present work, we describe the results of structural modifications of compounds designed based on cationic antimicrobial peptides DK5 and CAR-PEG-DK5, derivatized at their N-terminal part with fatty acids with different lengths of carbon chain. The proposed modifications substantially improved antimicrobial properties of the final compounds and their effectiveness in inhibition of biofilm development as well as eradication of pre-formed 24 h old biofilms of Candida albicans and Staphylococcus aureus. The most active compounds (C5-DK5, C12-DK5 and C12-CAR-PEG-DK5) were also potent against multi-drug resistant Staphylococcus aureus USA300 strain and clinical isolates of Pseudomonas aeruginosa. Both experimental and in silico methods revealed strong correlation between the length of fatty acid attached to the peptides and their final membranolytic properties, tendency to self-assemble and cytotoxicity.