Cross-correlating the Thermal Sunyaev-Zel'dovich Effect and the Distribution of Galaxy Clusters

We present the analytical formulas, derived based on the halo model, to compute the cross-correlation between the thermal Sunyaev-Zel'dovich (SZ) effect and the distribution of galaxy clusters. By binning the clusters according to their redshifts and masses, this cross-correlation, the so-called stacked SZ signal, reveals the average SZ profile around the clusters. The stacked SZ signal is obtainable from a joint analysis of an arcminute-resolution cosmic microwave background (CMB) experiment and an overlapping optical survey, which allows for detection of the SZ signals for clusters whose masses are below the individual cluster detection threshold. We derive the error covariance matrix for measuring the stacked SZ signal, and then forecast for its detection from ongoing and forthcoming combined CMB-optical surveys. We find that, over a wide range of mass and redshift, the stacked SZ signal can be detected with a significant signal to noise ratio (total S/N \gsim 10), whose value peaks for the clusters with intermediate masses and redshifts. Our calculation also shows that the stacking method allows for probing the clusters' SZ profiles over a wide range of scales, even out to projected radii as large as the virial radius, thereby providing a promising way to study gas physics at the outskirts of galaxy clusters.Comment: 11 pages, 6 figures, 3 tables, minor revisions reflect PRD published versio

Asynchronous Rhythm of Steroidogenic Factor 1 and Period Homolog 2 mRNA Expression in Mouse Y1 Adrenocorticol Tumor Cells

The relationship between the expression of Steroidogenic factor 1 (Sf1) and the circadian-related gene, period homolog 2 (Per2), in the adrenal cortex is still unknown. We show here that in Y1 adrenocortical tumor cells, expression of steroidogenic-related genes such as P450scc mRNA and Sf1 mRNA were asynchronous with Per2 mRNA. SF1 promoter analyses showed that the E-box element functions in a rhythmic pattern. Rhythmic expression of Upstream factor 1 mRNA, correlated well with Sf1 mRNA expression. We propose that tumorigenesis of adrenocortical lesions cause disruption of synchronous expression of steroidogenic-related and circadian-related genes

グリッドコンピューティングを用いたボリュームレンダリング手法の開発

平成18年度電気・情報関連学会中国支部第57回連合大会資料 岡山理科大学, 岡山 (2006 10

Visualization Technique based on Grid Computing for Large-scale Volume-data

情報処理学会研究報告 グラフィクスとCAD研究会 2007.0

Reconstruction of the migratory history of the catadromous fourspine sculpin Cottus kazika from the Monobe and Shimanto River, Kochi prefecture in southern Shikoku, using otolith Sr/Ca concentration ratios

カマキリ当歳魚の遡上履歴を推定する目的で，耳石輪紋の日周性ならびに耳石Sr/Ca比と塩分濃度との関係について調べた。その結果，本種の耳石輪紋は日周輪であること，および耳石Sr/Ca比は海水中で顕著に上昇することを確認した。これらの結果をもとに，高知県四万十川および物部川で採集したカマキリ当歳魚の遡上時期を推定したところ，海水から淡水への移行期は，いずれの河川においても3月上旬と推定された。The fourspine sculpin (Cottus kazika) is a catadromous member of the family Cottidae that is endemic to Japan. Our objective was to evaluate the utility of using sagittal otolith Sr/Ca concentration ratios to document the movement of juvenile sculpin between the estuarine areas and freshwater of the Shimanto and Monobe Rivers in southern Shikoku. We confirmed the daily periodicity of increment formation and the correlation between the otolith Sr/Ca ratio and ambient salinity at laboratory condition. Otolith profiles suggested that juveniles tended to move from seawater to freshwater at the beginning of March in both river systems

Visualization Technique based on Grid Computing for Large-scale Volume-data

近年, 高解像度化の進むCTやMRIから出力されるボリュームデータを,高精度にかつ高速に可視化するため,本研究ではグリッドコンピューティングを用いてボリュームレンダリングを行う手法を提案する.医療施設や研究機関に多数導入されている計算機を計算資源とするグリッドコンピューティングを用いる.計算能力の不均一な環境下において,可視性に基づき動的にタスクの投入を行うための手法を提案し,シミュレーションによりその有用性を確認した.提案手法をインプリメントし,グリッドコンピューティングを用いて大規模ボリュームデータのレンダリングを行った.To visualize high-resolution volumedata acquired from a recent CT or MRI, we propose a method for rendering the large-scale volume data using a grid computing. We use existing computers with non-homogeneous computing tasks to agent machines based on the visibility of divided volume data in a grid computing environment. Simulation results demonstrate the usefulness of the propose method. A large scale volumedata is rendered using our grid computing system

トクシマシ ヤカン キュウジツ キュウビョウ シンリョウジョ ノ ゲンジョウ ト カダイ : ショウニ キュウキュウ タイセイ ノ キキ

Night and holiday emergency clinic of Tokushima City（Emergency clinic）was open １９９６ in Tokushima by entrusted Tokushima City Medical Association. Both pediatrics and internal medicine are under treatment as a first emergency clinic. Emergency clinic is open at every night through a year and at daytime on holiday. As Emergency clinic moved to Fureai Kenko-kan in ２０００, patients were convenient to visit and increased gradually in number. In２００５as a designated administrator, Tokushima Medical Association managed Emergency clinic independently. Especially swine influenza was extremely popular as pandemic in ２００９, and the number of patients was above １８０,００ as a new record. The patients were divided about７０％ of pediatrics and about３０％ of internal medicine, and from in and outside of Tokushima City. The main problem is the difficulty of acquisition because of the lack of pediatricians. As for the protection of the emergency system for children in Tokushima Prefecture, residents need enlightenment of decreasing unnecessary and nonurgent visits. So residents are encouraged to keep this emergency system by themselves. We hope emergency medical system for children in Tokushima will be established as soon as possible

Volume rendering using grid computing for large-scale volume data

In this paper, we propose a volume rendering method using grid computing for large-scale volume data. Grid computing is attractive because medical institutions and research facilities often have a large number of idle computers. A large-scale volume data is divided into sub-volumes and the sub-volumes are rendered using grid computing. When using grid computing, different computers rarely have the same processor speeds. Thus the return order of results rarely matches the sending order. However order is vital when combining results to create a final image. Job-Scheduling is important in grid computing for volume rendering, so we use an obstacle-flag which changes priorities dynamically to manage sub-volume results. Obstacle-Flags manage visibility of each sub-volume when line of sight from the view point is obscured by other sub-volumes. The proposed Dynamic Job-Scheduling based on visibility substantially increases efficiency. Our Dynamic Job-Scheduling method was implemented on our university's campus grid and we conducted comparative experiments, which showed that the proposed method provides significant improvements in efficiency for large-scale volume rendering