The official interpretation of Islam under the Soviet regime : a base for understanding of contemporary Central Asian Islam

Islam, the Muslim traditions and the ulama in Central Asian societies are becoming increasingly important for assessing the situation in and around the region. To understand of the post Soviet Muslim republics it is nec-essary to know the Islamic heritage of the Soviet Union, i.e. the Islamic understanding and interpretation of Soviet official ulama which still influence the mind of the people and the contemporary Central Asian ulama. The official ulama were endeavouring to reconcile Islam with science and progress and to guarantee its survival in a modern environment, they served by an extremely energetic effort to preserve Islam at least in purity and integrity as religion and national sentiment and to prevent it from relapsing into deprivation and ignorance. The most important official Muslim religious figure, the Mufti of Tashkent Z. Babakhan interpreted Islam as a bulwark of progress, disseminator of knowledge, the religion of peace and friendship; portrayed the Prophet Muhammad as a “democrat, reformer and revolutionary, even a socialist”; reconciliation with socialism and communism

Islamic support on the westernization policy in the Ottoman empire : making Mahmud II a reformer Caliph-Sultan by Islamic virtue tradition

In this article we dealt with the relations between the state and religion / Islam and its interpreters i.e., the ulama, their needs each other. As a case, with an original source, we focused on the time of the Mahmud II (1808-1839) The Ottoman reforms of the nineteenth century is reconciliation between Islam and Western civili-sation. In this process the ulama played key role by commenting Islam accordance with the need of the age or of the Ottoman Empire. The reformers, chiefly the Sultan and his close friends needed the support of the ulama to legitimate their reform programmes In this crucial stage the head of the ulama the Shaykhulislam, used his own religious knowledge and influence, derived from his office by writing a treatise to persuade the masses to accept the reforms. Applying the traditional virtue literature on the Ottoman dynasty he presented in this pamphlet one of the Western-minded Ottoman sultans as an ideal caliph-sultan. This attitude helped to transform the middle-aged Ottoman political structure and society into modern ages in Western line

Does the Conditional CAPM Work? Evidence from the Istanbul Stock Exchange

This paper tests whether the conditional CAPM accurately prices assets utilizing data from the Istanbul Stock Exchange (ISE) over the time period from February 1997 to April 2008. In our empirical analysis, we closely follow the methodology introduced in Lewellen and Nagel (2006). Our results show that the conditional CAPM fairs no better than the static counterpart in pricing assets. Although market betas do vary significantly over time, the intertemporal variation is not nearly large enough to drive average conditional alphas to zero.Conditional CAPM

Attributed relational graphs for cell nucleus segmentation in fluorescence microscopy Images

Cataloged from PDF version of article.More rapid and accurate high-throughput screening in molecular cellular biology research has become possible with the development of automated microscopy imaging, for which cell nucleus segmentation commonly constitutes the core step. Although several promising methods exist for segmenting the nuclei of monolayer isolated and less-confluent cells, it still remains an open problem to segment the nuclei of more-confluent cells, which tend to grow in overlayers. To address this problem, we propose a new model-based nucleus segmentation algorithm. This algorithm models how a human locates a nucleus by identifying the nucleus boundaries and piecing them together. In this algorithm, we define four types of primitives to represent nucleus boundaries at different orientations and construct an attributed relational graph on the primitives to represent their spatial relations. Then, we reduce the nucleus identification problem to finding predefined structural patterns in the constructed graph and also use the primitives in region growing to delineate the nucleus borders. Working with fluorescence microscopy images, our experiments demonstrate that the proposed algorithm identifies nuclei better than previous nucleus segmentation algorithms

Identification of Novel Reference Genes Based on MeSH Categories

Cataloged from PDF version of article.Transcriptome experiments are performed to assess protein abundance through mRNA expression analysis. Expression levels of genes vary depending on the experimental conditions and the cell response. Transcriptome data must be diverse and yet comparable in reference to stably expressed genes, even if they are generated from different experiments on the same biological context from various laboratories. In this study, expression patterns of 9090 microarray samples grouped into 381 NCBI-GEO datasets were investigated to identify novel candidate reference genes using randomizations and Receiver Operating Characteristic (ROC) curves. The analysis demonstrated that cell type specific reference gene sets display less variability than a united set for all tissues. Therefore, constitutively and stably expressed, origin specific novel reference gene sets were identified based on their coefficient of variation and percentage of occurrence in all GEO datasets, which were classified using Medical Subject Headings (MeSH). A large number of MeSH grouped reference gene lists are presented as novel tissue specific reference gene lists. The most commonly observed 17 genes in these sets were compared for their expression in 8 hepatocellular, 5 breast and 3 colon carcinoma cells by RT-qPCR to verify tissue specificity. Indeed, commonly used housekeeping genes GAPDH, Actin and EEF2 had tissue specific variations, whereas several ribosomal genes were among the most stably expressed genes in vitro. Our results confirm that two or more reference genes should be used in combination for differential expression analysis of large-scale data obtained from microarray or next generation sequencing studies. Therefore context dependent reference gene sets, as presented in this study, are required for normalization of expression data from diverse technological backgrounds. © 2014 Ersahin et al

Comparing online and face-to-face student counselling: what therapeutic goals are identified and what are the implications for educational providers?

Online counselling is increasingly being used as an alternative to face-to-face student counselling. Using an exploratory mixed methods design, this project investigates the practice by examining the types of therapeutic goals that 11 to 25 year olds identify online in routine practice. These goals are then compared to goals identified in equivalent school and community-based counselling services. 1,137 online goals (expressed by 504 young people) and 221 face-to-face goals (expressed by 220 young people) were analysed for key themes using grounded theory techniques. This analysis identified three core categories (1) Intrapersonal Goals, (2) Interpersonal Goals, and (3) Intrapersonal Goals directly related to others. Further statistical analysis of these themes indicated that online and face-to-face services appear to be being used in different ways by students. These differences are discussed alongside the implications for professionals working in educational settings

Image Classification of Human Carcinoma Cells Using Complex Wavelet-Based Covariance Descriptors

Cataloged from PDF version of article.Cancer cell lines are widely used for research purposes in laboratories all over the world. Computer-assisted classification of cancer cells can alleviate the burden of manual labeling and help cancer research. In this paper, we present a novel computerized method for cancer cell line image classification. The aim is to automatically classify 14 different classes of cell lines including 7 classes of breast and 7 classes of liver cancer cells. Microscopic images containing irregular carcinoma cell patterns are represented by subwindows which correspond to foreground pixels. For each subwindow, a covariance descriptor utilizing the dual-tree complex wavelet transform (DT-ℂWT) coefficients and several morphological attributes are computed. Directionally selective DT-ℂWT feature parameters are preferred primarily because of their ability to characterize edges at multiple orientations which is the characteristic feature of carcinoma cell line images. A Support Vector Machine (SVM) classifier with radial basis function (RBF) kernel is employed for final classification. Over a dataset of 840 images, we achieve an accuracy above 98%, which outperforms the classical covariance-based methods. The proposed system can be used as a reliable decision maker for laboratory studies. Our tool provides an automated, time- and cost-efficient analysis of cancer cell morphology to classify different cancer cell lines using image-processing techniques, which can be used as an alternative to the costly short tandem repeat (STR) analysis. The data set used in this manuscript is available as supplementary material through http://signal.ee.bilkent.edu.tr/cancerCellLineClassificationSampleImages.html. © 2013 Keskin et al

Aerosol generation and entrainment model for cough simulations

The airborne transmission of diseases is of great concern to the public health community. The possible spread of infectious disease by aerosols is of particular concern among health-care workers and emergency responders, who face a much greater risk of exposure to these hazards than does the general public. Some diseases, such as influenza, spread by dissemination and inhalation of aerosols of small droplet nuclei that are generated by coughing and remain airborne for an extended time. For that reason a better understanding of the generation of aerosols is important. Therefore, the main objective of this study is to investigate the flow dynamics and the aerosol generation during coughing. This research aims to develop a fairly simple yet an accurate model for the flow simulation in the upper respiratory tract, mainly in the larynx, and the number and size distribution of the aerosols generated during coughing.;In order to provide a more complete analysis tool, a secondary objective is to develop a simple reduced order model for the purpose of simulating the air flow and particle dynamics in the larynx. To this end a pseudo two-dimensional model (PTM) has been developed and run for several cases including, sinusoidal laminar and low Reynolds number flow cases including breathing and coughing. The comparison of the PTM model results with FLUENT has shown that the PTM model is capable of producing accurate results within a fraction of execution time needed for the multi-dimensional FLUENT\u27s model.;The aerosol generation and entrainment model (AGEM) is integrated into this validated one-dimensional model. This is done by utilizing a one dimensional turbulent kinetic energy equation. AGEM is then employed to calculate the aerosol formations during a cough, which is simulated by the one dimensional flow solver. The final size distribution of the aerosol droplets is calculated and these findings are compared with laboratory measurements. It is shown that, with appropriate model coefficients, it is possible to obtain size distribution of aerosols that is consistent with the experimental findings. A parametric study by variation of physical properties of the mucus has also been carried out. The results show some interesting trend with changing surface tension and varying cough signals.;This study may be considered as a step towards a more complete understanding of aerosol generation mechanisms by coughing, which in turn lead to airborne transmission of diseases. The simulation tools developed should serve the scientist to do more parametric studies in a fairly quick manner and investigate the aerosol dispersion in the confined areas as well as studying particle deposition patterns within the upper respiratory track

Inhibition of Akt signaling in hepatoma cells induces apoptotic cell death independent of Akt activation status

Cataloged from PDF version of article.The serine/threonine kinase Akt, a downstream effector of phosphatidylinositol 3-kinase (PI3K), is involved in cell survival and anti-apoptotic signaling. Akt has been shown to be constitutively expressed in a variety of human tumors including hepatocellular carcinoma (HCC). In this report we analyzed the status of Akt pathway in three HCC cell lines, and tested cytotoxic effects of Akt pathway inhibitors LY294002, Wortmannin and Inhibitor VIII. In Mahlavu human hepatoma cells Akt was constitutively activated, as demonstrated by its Ser473 phosphorylation, downstream hyperphosphorylation of BAD on Ser136, and by a specific cell-free kinase assay. In contrast, Huh7 and HepG2 did not show hyperactivation when tested by the same criteria. Akt enzyme hyperactivation in Mahlavu was associated with a loss of PTEN protein expression. Akt signaling was inhibited by the upstream kinase inhibitors, LY294002, Wortmannin, as well as by the specific Akt Inhibitor VIII in all three hepatoma cell lines. Cytotoxicity assays with Akt inhibitors in the same cell lines indicated that they were all sensitive, but with different IC50 values as assayed by RT-CES. We also demonstrated that the cytotoxic effect was through apoptotic cell death. Our findings provide evidence for its constitutive activation in one HCC cell line, and that HCC cell lines, independent of their Akt activation status respond to Akt inhibitors by apoptotic cell death. Thus, Akt inhibition may be considered as an attractive therapeutic intervention in liver cancer. © Springer Science+Business Media, LLC 2010