罗定榕木灯盏铁矿床地质特征及其成因探讨

通过对罗定榕木灯盏铁矿的勘查和对矿区及区域地质分析,认为该矿床产在下古生界寒武系八村群薄层状大理岩或钙硅酸盐岩中,矿体与围岩同步褶皱,与贵子-罗镜弧形构造带之榕木-甘洞断裂密切相关,但与岩浆岩无关,其特征类似于矽卡岩型矿床,又明显区别于矽卡岩型矿床,属沉积变质叠加热液蚀变的类矽卡岩型多金属矿床。     

反渗透处理煤层气产出水中试示范及其控制模型研究(英文)

This study presents the first demonstration project in China for treatment of coal-bed methane(CBM) co-produced water and recycling.The work aims to provide a research and innovation base for solving the pollution problem of CBM extraction water.The reverse osmosis(RO) unit is applied to the treatment of CBM co-produced water.The results indicate that system operation is stable,the removal efficiency of the total dissolved solids(TDS) is as high as 97.98%,and Fe,Mn,and F-are almost completely removed.There is no suspended solids(SS) detected in the treated water.Furthermore,a model for the RO membrane separation process is developed to describe the quantitative relationship between key physical quantities-membrane length,flow velocity,salt concentration,driving pressure and water recovery rate,and the water recovery restriction equation based on mass balance is developed.This model provides a theoretical support for the RO system design and optimization.The TDS in the CBM co-produced water are removed to meet the "drinking water standards" and "groundwater quality standards" of China and can be used as drinking water,irrigation water,and livestock watering.In addition,the cost for treatment of CBM co-produced water is assessed,and the RO technology is an efficient and cost-effective treatment method to remove pollutants.     

MA-BA-BMA三元共聚物改性重钙粉体的研究

以马来酸酐（MA）-丙烯酰胺（BA）-甲基丙烯酸正丁酯（BMA）三元共聚物为改性剂改性重质碳酸钙粉体（简称重钙粉体）。研究了改性剂用量、改性时间、改性温度、搅拌速度对重钙粉体改性效果的影响,并以沉降体积、吸油值、黏度、白度、接触角、活化度、粒度、形貌等为评价指标对重钙粉体的改性效果进行评价。结果表明,MA-BA-BMA三元共聚物对重钙粉体的改性效果良好。通过单因素试验和正交试验得到改性重钙粉体的优化条件：改性剂用量（改性剂相对于重钙粉体的质量分数）为2%,改性温度为85 ℃,改性时间为120 min,搅拌速度为500 r/min。     

某极细、贫磁铁矿选矿生产工艺流程考查分析

针对某极细、贫磁铁矿选矿生产工艺流程考查,在常规流程考察内容的基础上,充实了矿石性质分析研究。通过筛析、磁选试验,研究了选矿生产各作业试验,并与实际生产指标进行对比;查明了磨、选工艺流程在生产运行中存在的问题,为优化生产流程,保证合理、高效的生产提供了依据。对当前选矿生产流程考察在技术上的局限性进行探讨,并对有用矿物单体解离度在生产过程中的变化进行适时检测,对减少有用矿物过磨,为选矿生产节能降耗、提高效率、降低生产成本具有重要的作用。     

The immunomodulatory potential of natural compounds in tumor-bearing mice and humans

Abstract

Cancer is considered a fetal disease caused by uncontrolled proliferation and progression of abnormal cells. The most efficient cancer therapies suppress tumor growth, prevent progression and metastasis, and are minimally toxic to normal cells. Natural compounds have shown a variety of chemo-protective effects alone or in combination with standard cancer therapies. Along with better understanding of the dynamic interactions between our immune system and cancer development, nutritional immunology—the use of natural compounds as immunomodulators in cancer patients—has begun to emerge. Cancer cells evolve strategies that target many aspects of the immune system to escape or even edit immune surveillance. Therefore, the immunesuppressive tumor microenvironment is a major obstacle in the development of cancer therapies. Because interaction between the tumor microenvironment and the immune system is a complex topic, this review focuses mainly on human clinical trials and animal studies, and it highlights specific immune cells and their cytokines that have been modulated by natural compounds, including carotenoids, curcumin, resveratrol, EGCG, and β-glucans. These natural compounds have shown promising immune-modulating effects, such as inhibiting myeloid-derived suppressor cells and enhancing natural killer and cytolytic T cells, in tumor-bearing animal models, but their efficacy in cancer patients remains to be determined.     

独立任务分配问题的离散粒子群优化算法

以异构环境下独立任务分配问题为例,提出一种离散粒子群优化算法.对粒子的位置、速度等量及其运算规则进行重新定义.为抑制早熟停滞现象,为粒子和粒子群分别定义个体多样性和微观多样性.算法中使用排斥算子来保持粒子群的多样性,使用学习算子来提高算法的局部求精能力,使算法在空间探索和局部求精间取得较好的平衡.与领域中的其它典型算法进行仿真比较,结果表明,离散粒子群优化算法具有良好的性能.     

Analysis of E-learning innovation and core capability using a hypercube model

New information and communication technologies and emerging learning models have triggered a new wave of educational innovation-electronic learning (E-learning). This study utilizes a hypercube innovation model to analyze the differences in technology and learning models (instruction model/environment) used in traditional classroom learning versus E-learning environments. The results show that the innovation from traditional classroom learning to E-learning is radical for both the learner and instructor, leading to drastic changes in the technology and learning model. For educational institutions, the technology is a fundamental change, while the learning model is reinforced. From the dynamic capability perspectives, a set of core capabilities needed for successfully exploiting E-learning is identified. These results provide insight for learners, instructors and educational institutions for enhancing their understanding of E-learning innovation, and provide guidelines to help E-learning stakeholders adapt from the traditional classroom to E-learning environments.     

基于嵌入模型的混合式相关缺陷关联方法

社交化编程使得开源社区中的知识可以快速被传播,其中,缺陷报告作为一类重要的软件开发知识,会含有特定的语义信息.通常,开发者会人工地将相关的缺陷报告关联起来.在一个软件项目中,发现并关联相关的缺陷报告可以为开发者提供更多的资源和信息去解决目标缺陷,从而提高缺陷修复效率.然而,现有人工关联缺陷报告的方法是十分耗费时间的,它在很大程度上取决于开发者自身的经验和知识.因此,研究如何及时、高效地关联相关缺陷是对于提高软件开发效率十分有意义的工作.将这类关联相关缺陷的问题视为推荐问题,并提出了一种基于嵌入模型的混合式相关缺陷关联方法,将传统的信息检索技术（TF-IDF）与深度学习中的嵌入模型（词嵌入模型和文档嵌入模型）结合起来.实验结果表明,该方法能够有效地提高传统方法的性能,且具有较强的应用扩展性.     

逐维改进的布谷鸟搜索算法

布谷鸟搜索(cuckoo search,简称CS)算法是一种新兴的仿生智能算法,对解采用整体更新评价策略.在求解多维函数优化问题时,由于各维之间相互干扰,采用整体更新评价策略将恶化算法的收敛速度和解的质量.为了弥补此缺陷,提出了基于逐维改进的布谷鸟搜索算法.在改进算法的迭代过程中,针对解采用逐维更新评价策略.该策略将各维的更新值与其他维的值组合成新的解,并采用贪婪方式接受能够改善解质量的更新值.实验结果说明,改进策略能够有效地提高CS 算法的收敛速度并改善解的质量.与相关的改进布谷鸟搜索算法以及其他演化算法的比较结果表明,改进算法在求解连续函数优化问题上是具有竞争力的.     

电镀超硬磨料工艺的改进及参数优化

电镀磨料法是制造超硬磨料工具的常用方法,电镀质量直接影响到电镀超硬磨料工具的寿命和使用性能,而电镀工艺是影响电镀质量的主要因素.文中首先对原有的电镀基础工艺中镀前处理及镀底镍工序进行了改进,提出了镀前处理中增加去毛刺、电化学除油、阳极处理等过程及镀底镍工序中带电入槽和冲击电流的一套新的电镀工艺,并进行了实验研究,结果表明:新的工艺增强了镀层的结合力,提高了电镀质量;其次实验研究了电镀液配方及电流密度、镀液温度、PH值等工艺参数对电镀质量的影响,并得到了优化结果.