BACKGROUND Follicular lymphoma(FL),a common type of indolent lymphoma,carries markers of the germinal center,and the rearrangement of the BCL-2 gene is regarded as an initiating event and a hallmark of the neoplasm.Wh...BACKGROUND Follicular lymphoma(FL),a common type of indolent lymphoma,carries markers of the germinal center,and the rearrangement of the BCL-2 gene is regarded as an initiating event and a hallmark of the neoplasm.When FL has marginal zone differentiation,some marginal zone features are carried by the neoplasm.CASE SUMMARY A 54-year-old male with lymphadenopathy,splenomegaly and hyperlymphocytosis was diagnosed with FL with marginal zone differentiation.The tumor demonstrated different features in the bone marrow(BM)compared with the follicle of the lymph node(LN).Some component of the neoplasm mimicked marginal zone lymphoma,such as infiltrating the marginal zone of the LN,displaying a monocytoid shape and lacking the expression of CD10 in the BM.The diagnosis of FL was made due to the concurrent detection of BCL-2 rearrangement in the LN and BM.CONCLUSION Discordant pathological features in LN and BM could mislead diagnosis.When clinical and pathological manifestations are confusing in diagnosis,typical genetic abnormalities are decisive.展开更多
This paper presents a new method based on an immune-tabu hybrid algorithm to solve the thermal unit commitment （TUC） problem in power plant optimization. The mathematical model of the TUC problem is established by a...This paper presents a new method based on an immune-tabu hybrid algorithm to solve the thermal unit commitment （TUC） problem in power plant optimization. The mathematical model of the TUC problem is established by analyzing the generating units in modem power plants. A novel immune-tabu hybrid algorithm is proposed to solve this complex problem. In the algorithm, the objective function of the TUC problem is considered as an antigen and the solutions are considered as antibodies, which are determined by the affinity computation. The code length of an antibody is shortened by encoding the continuous operating time, and the optimum searching speed is improved. Each feasible individual in the immune algorithm （IA） is used as the initial solution of the tabu search （TS） algorithm after certain generations of IA iteration. As examples, the proposed method has been applied to several thermal unit systems for a period of 24 h. The computation results demonstrate the good global optimum searching performance of the proposed immune-tabu hybrid algorithm. The presented algorithm can also be used to solve other optimization problems in fields such as the chemical industry and the power industry.展开更多
文摘BACKGROUND Follicular lymphoma(FL),a common type of indolent lymphoma,carries markers of the germinal center,and the rearrangement of the BCL-2 gene is regarded as an initiating event and a hallmark of the neoplasm.When FL has marginal zone differentiation,some marginal zone features are carried by the neoplasm.CASE SUMMARY A 54-year-old male with lymphadenopathy,splenomegaly and hyperlymphocytosis was diagnosed with FL with marginal zone differentiation.The tumor demonstrated different features in the bone marrow(BM)compared with the follicle of the lymph node(LN).Some component of the neoplasm mimicked marginal zone lymphoma,such as infiltrating the marginal zone of the LN,displaying a monocytoid shape and lacking the expression of CD10 in the BM.The diagnosis of FL was made due to the concurrent detection of BCL-2 rearrangement in the LN and BM.CONCLUSION Discordant pathological features in LN and BM could mislead diagnosis.When clinical and pathological manifestations are confusing in diagnosis,typical genetic abnormalities are decisive.
基金Project partially supported by the Lamar Research Enhancement Grant and the National Science Foundation Grant (No. DUE-0737173) to Dr. W. Zhu at Lamar University
文摘This paper presents a new method based on an immune-tabu hybrid algorithm to solve the thermal unit commitment （TUC） problem in power plant optimization. The mathematical model of the TUC problem is established by analyzing the generating units in modem power plants. A novel immune-tabu hybrid algorithm is proposed to solve this complex problem. In the algorithm, the objective function of the TUC problem is considered as an antigen and the solutions are considered as antibodies, which are determined by the affinity computation. The code length of an antibody is shortened by encoding the continuous operating time, and the optimum searching speed is improved. Each feasible individual in the immune algorithm （IA） is used as the initial solution of the tabu search （TS） algorithm after certain generations of IA iteration. As examples, the proposed method has been applied to several thermal unit systems for a period of 24 h. The computation results demonstrate the good global optimum searching performance of the proposed immune-tabu hybrid algorithm. The presented algorithm can also be used to solve other optimization problems in fields such as the chemical industry and the power industry.
