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The contacts of a tin-lead solder (IIOC 61) with copper, brass and nickel in various types of disinfectants are investigated as galvanic couples where the solder always functions as the anode. The maximum relative increase in the corrosion rate is observed in a weakly alkaline hembar solution (guanidine-based biocidic polymer compound). The active oxidizers contained in delaxon and chlorantoin solutions can decompose due to their reduction at the cathodes of the couples. Original Russian Text ? E.K. Sevidova, I.D. Roi, I.I. Stepanova, 2006, published in Zashchita Metallov, 2006, Vol. 42, No. 3, pp. 326–328.  相似文献   
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Simple SummaryMembrane-associated PCNA is expressed on the surface of human MM cell lines and primary MM cells. Mab 14-25-9 interacts with membrane-associated PCNA and blocks its binding to NK-expressed NKp44, thus activating NK function. We showed that mAb 14-25-9 can serve as an immune checkpoint blocker, enhancing the function of NK cells on target human MM cell lines and primary cells.AbstractMultiple Myeloma (MM) is a devastating malignancy that evades immune destruction using multiple mechanisms. The NKp44 receptor interacts with PCNA (Proliferating Cell Nuclear Antigen) and may inhibit NK cells’ functions. Here we studied in vitro the expression and function of PCNA on MM cells. First, we show that PCNA is present on the cell membrane of five out of six MM cell lines, using novel anti-PCNA mAb developed to recognize membrane-associated PCNA. Next, we stained primary bone marrow (BM) mononuclear cells from MM patients and showed significant staining of membrane-associated PCNA in the fraction of CD38+CD138+ BM cells that contain the MM cells. Importantly, blocking of the membrane PCNA on MM cells enhanced the activity of NK cells, including IFN-γ-secretion and degranulation. Our results highlight the possible blocking of the NKp44-PCNA immune checkpoint by the mAb 14-25-9 antibody to enhance NK cell responses against MM, providing a novel treatment option.  相似文献   
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Area coverage is a fundamental task in robotics, where one or more robots are required to visit all points in a target area at least once. In many real-world scenarios, the need arises for protecting one’s territory from being covered by a robot, e.g., when we need to defend a building from being surveyed by an adversarial force. Therefore, this paper discusses the problem of defending a given area from being covered by a robot. In this problem, the defender needs to choose the locations of k stationary guards in the target area, each one having some probability of capturing the robot, in a way that maximizes the probability of stopping the covering robot. We consider two types of covering robots: one that has an a-priori map of the environment, including the locations of the guards; and the other has no prior knowledge of the environment, and thus has to use real-time sensor measurements in order to detect the guards and plan its path according to their discovered locations. We show that in both cases the defender can exploit the target area’s topology, and specifically the vulnerability points in the area (i.e., places that must be visited by the robot more than once), in order to increase its chances of capturing the covering robot. We also show that although in general finding an optimal strategy for a defender with zero-knowledge on the robot’s coverage strategy is \({\mathcal {NP}}\)-Hard, for certain values of k an optimal strategy can be found in polynomial time. For other cases we suggest heuristics that can significantly outperform the random baseline strategy. We provide both theoretical and empirical evaluation of our suggested algorithms.  相似文献   
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