低秩矩阵恢复模型改进及其在石油测井中的应用

传统的低秩矩阵恢复模型在去噪过程中通过将观测矩阵分解为低秩部分和稀疏部分达到噪声去除的目的,但该模型要求噪声矩阵必须是稀疏的。然而石油测井所获得的数据中噪声来源复杂,并不能完全保证噪声分布满足稀疏性的要求,使该模型在去噪时表现出一定的局限性,去噪效果不稳定,进而导致后续的数据处理准确率降低。为此,提出将加权范数的思想应用于传统的低秩矩阵恢复模型中,并在惩罚项中将F范数与待恢复矩阵的核范数相结合,构造改进的低秩矩阵恢复模型,使其能够在保证解的稳定性的同时,可以更好地挖掘观测矩阵的低秩性以及增强稀疏矩阵的稀疏性。通过非精确的拉格朗日乘子法分别对改进前后的模型进行求解,并对两种模型去噪后的测井数据分别采用支持向量机(SVM)和相关向量机(RVM)进行油气层识别,结果表明经改进的低秩矩阵恢复模型去噪后的测井数据在保证了油气层识别效率的同时,识别准确率上有了明显提升。     

Development and implementation of a technique for norms-adaptable agents in open multi-agent communities

In open normative multi-agent communities, an agent is not usually and explicitly given the norms of the host agents. Thus, when it is not able to adapt the communities’s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host’s potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party. The authors called this technique as the potential norms detection technique (PNDT). The PNDT consists of five components: Agent’s belief base; observation process; potential norms mining algorithm (PNMA); verification process; and updating process. The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives. The tests’ results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings.     

用两比特海森堡XYZ模型来实现量子稠密编码

文章主要研究磁场对各向异性两比特海森堡XYZ模型中量子稠密编码的影响。通过量子稠密编码信道容量的表达式分析了每个参数对量子稠密编码的影响,我们发现平均耦合常数J+和各向异性参数J-和Jz对稠密编码起积极作用,但是磁场B和b却表现出消极作用。除此以外,在这个模型中磁场起到信道容量对各向异性参数的对称性破坏作用。     

CT Brain Image: Abnormalities Recognition and Segmentation

In order to develop an automated segmentation system for Computed Tomography (CT) brain images, a new approach which consists of several unsupervised segmentation techniques was introduced. The system segments the CT brain images into three partitions, i. e., abnormalities, cerebrospinal fluid (CSF), and brain matter. Our approach consists of two phase-segmentation methods. In the first phase segmentation, k-means and fuzzy c-means (FCM) methods were implemented to segment and transform the images into the binary images. Based on the connected component in binary images, a decision tree was employed for the annotation of normal or abnormal regions, In the second phase segmentation, the modified FCM with population-diameter independent (PDI) segmentation was applied to segment the images into CSF and brain matter. The experimental results have shown that our proposed system is feasible and yield satisfactory results.     

QUADRATIC REPRESENTATION FOR ROADWAY PROFILE THAT MINIMIZES EARTHWORK COST

Roadway design usually involves choices regarding grade selection and earthwork (transportation) that can be solved using linear programming. Previous work considered the road profile as series of interconnected linear segments. In these models, constraints are included in the linear programming formulation to insure continuity of the road, which cause sharp connectivity points at the intersection of the linear segments. This sharp connectivity needs to be smoothed out after l;he linear programming solution is found and the earth in the smoothed portion of the roadway has to be moved to the landfill. In previous research, the smoothing issue is dealt with after an optimal solution is found. This increases the work required by the design engineer and consequently increases the construction cost; furthermore, the optimal solution is violated by this smoothing operation. In this paper, the issue of sharp connectivity points is resolved by representing the road profile by a quadratic function. The continuit     

Pleiotropic defects in lymphocyte activation caused by caspase-8 mutations lead to human immunodeficiency

Apoptosis is a form of programmed cell death that is controlled by aspartate-specific cysteine proteases called caspases. In the immune system, apoptosis counters the proliferation of lymphocytes to achieve a homeostatic balance, which allows potent responses to pathogens but avoids autoimmunity. The CD95 (Fas, Apo-1) receptor triggers lymphocyte apoptosis by recruiting Fas-associated death domain (FADD), caspase-8 and caspase-10 proteins into a death-inducing signalling complex. Heterozygous mutations in CD95, CD95 ligand or caspase-10 underlie most cases of autoimmune lymphoproliferative syndrome (ALPS), a human disorder that is characterized by defective lymphocyte apoptosis, lymphadenopathy, splenomegaly and autoimmunity. Mutations in caspase-8 have not been described in ALPS, and homozygous caspase-8 deficiency causes embryonic lethality in mice. Here we describe a human kindred with an inherited genetic deficiency of caspase-8. Homozygous individuals manifest defective lymphocyte apoptosis and homeostasis but, unlike individuals affected with ALPS, also have defects in their activation of T lymphocytes, B lymphocytes and natural killer cells, which leads to immunodeficiency. Thus, caspase-8 deficiency in humans is compatible with normal development and shows that caspase-8 has a postnatal role in immune activation of naive lymphocytes.     

Immune responses in amebiasis

Zusammenfassung Immunologischer Nachweis von Amöbiasis gelingt auch durch indirekte Hämagglutination und durch Gel-Diffusion.