京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第22374号 / 医博第4615号 / 新制||医||1043(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 武藤 学, 教授 松田 道行, 教授 小西 靖彦 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

In cellular networks, channels should be allocated efficiently to support communication betweenmobile hosts. In addition, in cellular networks, base stations may fail. Therefore, designing a faulttolerantchannel allocation algorithm is important. That is, the algorithm should tolerate failuresof base stations. Many existing algorithms are neither fault-tolerant nor efficient in allocatingchannels.We propose channel allocation algorithms which are both fault-tolerant and efficient. In theproposed algorithms, to borrow a channel, a base station (or a cell) does not need to get channelusage information from all its interference neighbors. This makes the algorithms fault-tolerant,i.e., the algorithms can tolerate base station failures, and perform well in the presence of thesefailures.Channel pre-allocation has effect on the performance of a channel allocation algorithm. Thiseffect has not been studied quantitatively. We propose an adaptive channel allocation algorithmto study this effect. The algorithm allows a subset of channels to be pre-allocated to cells. Performanceevaluation indicates that a channel allocation algorithm benefits from pre-allocating allchannels to cells.Channel selection strategy also inuences the performance of a channel allocation algorithm.Given a set of channels to borrow, how a cell chooses a channel to borrow is called the channelselection problem. When choosing a channel to borrow, many algorithms proposed in the literaturedo not take into account the interference caused by borrowing the channel to the cells which havethe channel allocated to them. However, such interference should be considered; reducing suchinterference helps increase the reuse of the same channel, and hence improving channel utilization.We propose a channel selection algorithm taking such interference into account.Most channel allocation algorithms proposed in the literature are for traditional cellular networkswith static base stations and the neighborhood relationship among the base stations is fixed.Such algorithms are not applicable for cellular networks with mobile base stations. We proposea channel allocation algorithm for cellular networks with mobile base stations. The proposedalgorithm is both fault-tolerant and reuses channels efficiently.KEYWORDS: distributed channel allocation, resource planning, fault-tolerance, cellular networks,3-cell cluster model.

Colorectal cancer (CRC) is the third most common cancer worldwide; it is responsible for nearly 10% of all newly diagnosed cancers and is the second most cause of cancer related death in Europe. Biomarkers for therapy guidance, targeted therapy and survival prognosis are still limited. As CRC is a heterogeneous disease, different parts of the tumor might have varying molecular characteristics which may change during therapy or disease progression. Through solid biopsies and screenings, these local or temporal differences are impossible to monitor. To facilitate detection of these possible temporal changes, a regularly and non-invasively accessible biomarker is required for disease monitoring. Circulating tumor cells (CTCs) might represent such a biomarker as they have been shown to be fluid surrogates of the solid tumor. EpCAM positive CTCs have shown to be prognostic in CRC for survival, but their full potential has not yet been evaluated further. By using the High Definition Single Cell Analysis (HD-SCA) workflow, we were able to analyze the entire spectrum of CTCs and categorize them as the regular CTCs (HD-CTC), CTCs with a smaller nuclear area (CTC-Small), CTCs with low expression of epithelial marker cytokeratin (CTC-LowCK) and CTCs undergoing apoptosis and therefore releasing cell free DNA...

Colorectal cancer (CRC) is the third most common cancer worldwide; it is responsible for nearly 10% of all newly diagnosed cancers and is the second most cause of cancer related death in Europe. Biomarkers for therapy guidance, targeted therapy and survival prognosis are still limited. As CRC is a heterogeneous disease, different parts of the tumor might have varying molecular characteristics which may change during therapy or disease progression. Through solid biopsies and screenings, these local or temporal differences are impossible to monitor. To facilitate detection of these possible temporal changes, a regularly and non-invasively accessible biomarker is required for disease monitoring. Circulating tumor cells (CTCs) might represent such a biomarker as they have been shown to be fluid surrogates of the solid tumor. EpCAM positive CTCs have shown to be prognostic in CRC for survival, but their full potential has not yet been evaluated further. By using the High Definition Single Cell Analysis (HD-SCA) workflow, we were able to analyze the entire spectrum of CTCs and categorize them as the regular CTCs (HD-CTC), CTCs with a smaller nuclear area (CTC-Small), CTCs with low expression of epithelial marker cytokeratin (CTC-LowCK) and CTCs undergoing apoptosis and therefore releasing cell free DNA...