共享缓存式以太网交换机缓存结构分析

针对共享缓存式交换机能提供理想的吞吐量、延时性能和对于一定的丢失率共享缓存交换机需要的内存较其他交换机小的特点,结合现有的共享缓存式以太网交换机芯片,对该交换机的缓存物理结构、数据结构进行分析和总结,并提出了一种共享缓存式以太网交换机缓存结构。     

运动对骨骼肌细胞凋亡影响的研究进展

细胞凋亡是一种由基因调控的细胞主动死亡过程,其性质为生理性细胞死亡.运动可诱导骨骼肌细胞发生凋亡,低氧运动亦可能刺激骨骼肌产生凋亡现象;运动在导致骨骼肌细胞损伤的过程中,除了细胞坏死外,也存在细胞凋亡.目前,运动医学中对该类问题的研究尚不多见,现通过对相关研究进展的综合分析,阐释运动对骨骼肌细胞凋亡的影响.     

木犀草素对大鼠肝癌细胞CBRH7919的作用机制

从细胞凋亡的角度研究木犀草素对大鼠肝癌细胞CBR．H7919tk／GCV系统的作用机制．采用流式细胞仪技术分析木犀草素砷大鼠肝癌细胞CBRH7919出／GCV自杀基因治疗系统的影响,以及基绿-派诺宁染色、丫啶橙（AO）染色的观察,还用琼脂糖凝胶电泳技术分析了药物对DNA的作用．经过统计学检验：联合组的凋亡率明显高于非联合组;甲基绿-派诺宁染色和丫啶橙（AO）染色出现了较为典型的凋亡形态;琼脂糖凝胶电泳出现明显可辨的梯状条带．综上,木犀草素对CBRH7919墩／GCV系统具有诱导其凋亡的作用．     

Bayesian Fourier clustering of gene expression data

Clustering gene expression data are an important step in providing information to biologists. A Bayesian clustering procedure using Fourier series with a Dirichlet process prior for clusters was developed. As an optimal computational tool for this Bayesian approach, Gibbs sampling of a normal mixture with a Dirichlet process was implemented to calculate the posterior probabilities when the number of clusters was unknown. Monte Carlo study results showed that the model was useful for suitable clustering. The proposed method was applied to the budding yeast Saccaromyces cerevisiae and provided biologically interpretable results.     

预处理和速冻贮藏对马铃薯片质构特性的影响

质地特性是评估冻制马铃薯片质量优劣的重要指标。本文研究了漂烫、速冻和玻璃化贮藏对马铃薯片质地特性和细菌结构的影响,发现６５℃漂烫３ｍｉｎ对马铃薯片质地影响较小,其细胞结构保持较完好;速冻过程会大幅度地降低马铃薯片的质地,其细胞结构受损严重;在玻璃化温度以下（－２５℃）贮藏的马铃薯片地质地有小幅下降,其细胞结构也会进一步遭受破坏,本实验发现速冻过程是引起冻制马铃薯片质地下降的主要原因,在速冻和贮藏过     

Could hemogram parameters be predictors of dementia in elderly patients?

Objective: To study red cell distribution width (RDW), RDW to platelet ratio (RPR) and mean platelet volume to platelet ratio (MPR), novel inflammatory markers of routine hemogram, of patients with or without dementia, according to the grade of the disease established by Fazekas’s score in magnetic resonance imaging (MRI).

Methods: A total of 1342 cases that undergone cranial MRI study were retrospectively analyzed. Patients without a previous stroke and over 45 years were enrolled in the study. Demographic and laboratory characteristics of the participants were obtained from institutional computerized database. Subcortical and periventricular white matter were evaluated in axial FLAIR images according to Fazekas’s grading scale. Univariate and multivariate analysis were performed for assessing the predictors of Fazekas’s grading scale.

Results: MPR of Fazekas 0, Fazekas 1, Fazekas 2 and Fazekas 3 groups were 3, 3, 4 and 3%, respectively. MPR difference between study groups was not significant (p?=?.32). RPR of Fazekas 0, Fazekas 1, Fazekas 2 and Fazekas 3 groups were 6, 7, 7 and 7%, respectively. RPR difference between study groups was significant (p?Conclusion: We suggest that increased RDW and RPR values may indicate higher Fazekas’s score and dementia in cranial imaging studies. The radiologist should pay particular attention in interpretation of cranial MRI of these patients.     

Detecting T cell activation using a varying dimension Bayesian model

The detection of T cell activation is critical in many immunological assays. However, detecting T cell activation in live tissues remains a challenge due to highly noisy data. We developed a Bayesian probabilistic model to identify T cell activation based on calcium flux, a increase in intracellular calcium concentration that occurs during T cell activation. Because a T cell has unknown number of flux events, the implementation of posterior inference requires trans-dimensional posterior simulation. The model is able to detect calcium flux events at the single cell level from simulated data, as well as from noisy biological data.     

Telephone surveys under different frame constructions—evaluating differences in estimates,precision, and cost

Dual-frame, random-digit-dialing (DFRDD) surveys, using a frame of landline telephone numbers and a frame of cell phone numbers, have become the norm for telephone surveys. Two alternative frame constructions sample exclusively from a cell phone frame, referred to as the ‘single-frame cell,’ and sample from the listed landline frame and the cell phone frame, referred to as ‘listed/cell.’ The listed/cell frame construction differs from the DFRDD in that it does not select unlisted-landline frame members. We observe in our simulated data that the listed/cell frame construction results in estimates that more closely approximate the estimates from DFRDD compared with the single-frame cell, results in an improvement in precision compared with the DFRDD that is not as large as the improvement in the single-frame cell, and has lower cost than both the DFRDD and the single-frame cell. We conclude that a listed/cell frame construction might be a better solution than either a DFRDD or single-frame cell frame construction.     

Estimation of Missing Cells in Randomized Block and Latin Square Designs

Classical missing cell formulas for the randomized block design and Latin square design are derived using the modified cell means model. The role of the assumptions of no interaction for these designs is made clear in the development. Examples are given for the randomized block and Latin square.