One hundred ninety patients who had advanced active Hodgkin's disease, lymphosarcoma, or reticulum cell sarcoma were treated with a combination of cyclophosphamide, vincristine, procarbazine, and prednisone (COPP) given in a cyclical fashion every month. Complete remission was produced in 91 of 138 (66%) patients with Hodgkin's disease and in 39 of 52 (75%) patients with non-Hodgkin's lymphoma (lymphosarcoma and reticulum cell sarcoma). The response rate was higher in patients who completed six cycles of therapy compared to those who completed only three to five cycles: 77% vs. 45%, respectively, in Hodgkin's disease, and 85% vs. 46%, respectively, in non-Hodgkin's lymphoma. The median duration of remission was longer for Hodgkin's disease patients who completed six cycles (30 months vs. 10 months). The median duration of complete remission of non-Hodgkin's lymphoma was 14 months. The response to treatment correlated positively with survival. The median survival time start of COPP treatment for patients with Hodgkin's disease was 7 months for nonresponders, 14 months for those who attained partial remission, and more than 48 months for those who attained complete remission. For patients with non-Hodgkin's lymphoma, the median survival time from start of COPP treatment was 24 months for nonresponders and those who had partial remission, and more than 32 months for those who attained complete remission. Of complete remission responders with Hodgkin's disease, 70% are still alive 84 months after diagnosis, and 63% of the patients witn non-Hodgkin's lymphoma are still alive 48 months after diagnosis.
SUMMARYThe evolution of wireless communication systems leads to Dynamic Spectrum Allocation for Cognitive Radio, which requires reliable spectrum sensing techniques. Among the spectrum sensing methods proposed in the literature, those that exploit cyclostationary characteristics of radio signals are particularly suitable for communication environments with low signal-to-noise ratios, or with non-stationary noise. However, such methods have high computational complexity that directly raises the power consumption of devices which often have very stringent low-power requirements. We propose a strategy for cyclostationary spectrum sensing with reduced energy consumption. This strategy is based on the principle that p processors working at slower frequencies consume less power than a single processor for the same execution time. We devise a strict relation between the energy savings and common parallel system metrics. The results of simulations show that our strategy promises very significant savings in actual devices.
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