812 research outputs found

    (E)-N′-(4-Methoxy­benzyl­idene)benzohydrazide

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    In the title mol­ecule, C15H14N2O2, the dihedral angle between the benzene rings is 5.93 (17)°. In the crystal, inter­molecular N—H⋯O hydrogen bonds link the mol­ecules into chains propagating in [010]

    The changes of CD4+CD25+/CD4+ proportion in spleen of tumor-bearing BALB/c mice

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    CD4+CD25+ regulatory T lymphocytes (T(R)) constitute 5–10% of peripheral CD4+ T cells in naive mice and humans, and play an important role in controlling immune responses. Accumulating evidences show that T(R )cells are involved in some physiological processes and pathologic conditions such as autoimmune diseases, transplantation tolerance and cancer, and might be a promising therapeutic target for these diseases. To evaluate the change of CD4+CD25+ T(R )cells in mouse tumor models, CD4+CD25+ subset in peripheral blood and spleen lymphocytes from normal or C26 colon-carcinoma-bearing BABL/c mice were analyzed by flow cytometry using double staining with CD4 and CD25 antibodies. The proportion of CD4+CD25+/CD4+ in spleen lymphocytes was found to be higher than that in peripheral blood lymphocytes in normal mice. No difference was observed in the proportion in peripheral blood lymphocytes between tumor bearing mice and normal mice, while there was a significant increase in the proportion in spleen lymphocytes in tumor bearing mice as compared with normal mice. Moreover, the proportion increased in accordance with the increase in the tumor sizes. The increase in the proportion was due to the decrease in CD4+ in lymphocytes, which is resulted from decreased CD4+CD25- subset in lymphocytes. Our observation suggests the CD4+CD25+/CD4+ proportion in spleen lymphocytes might be a sensitive index to evaluate the T(R )in tumor mouse models, and our results provide some information on strategies of antitumor immunotherapy targeting CD4+CD25+ regulatory T lymphocytes

    Learning against Non-credible Auctions

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    The standard framework of online bidding algorithm design assumes that the seller commits himself to faithfully implementing the rules of the adopted auction. However, the seller may attempt to cheat in execution to increase his revenue if the auction belongs to the class of non-credible auctions. For example, in a second-price auction, the seller could create a fake bid between the highest bid and the second highest bid. This paper focuses on one such case of online bidding in repeated second-price auctions. At each time tt, the winner with bid btb_t is charged not the highest competing bid dtd_t but a manipulated price pt=α0dt+(1α0)btp_t = \alpha_0 d_t + (1-\alpha_0) b_t, where the parameter α0[0,1]\alpha_0 \in [0, 1] in essence measures the seller's credibility. Unlike classic repeated-auction settings where the bidder has access to samples (ds)s=1t1(d_s)_{s=1}^{t-1}, she can only receive mixed signals of (bs)s=1t1(b_s)_{s=1}^{t-1}, (ds)s=1t1(d_s)_{s=1}^{t-1} and α0\alpha_0 in this problem. The task for the bidder is to learn not only the bid distributions of her competitors but also the seller's credibility. We establish regret lower bounds in various information models and provide corresponding online bidding algorithms that can achieve near-optimal performance. Specifically, we consider three cases of prior information based on whether the credibility α0\alpha_0 and the distribution of the highest competing bids are known. Our goal is to characterize the landscape of online bidding in non-credible auctions and understand the impact of the seller's credibility on online bidding algorithm design under different information structures
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