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In this research, an attempt to create a knowledge-based learning system for the Quranic text has been performed. The knowledge base is made up of the Quranic text along with detailed information about each chapter and verse, and some rules. The system offers the possibility to study the Quran through web-based interfaces, implementing novel visualization techniques for browsing, querying, consulting, and testing the acquired knowledge. Additionally the system possesses knowledge acquisition facilities for maintaining the knowledge base.
The high failure rate of new drug candidates in preclinical or clinical studies due to hepatotoxicity represents a considerable problem in the drug development. Hence, there is an urgent need to develop new approaches for early and reliable prediction of drug-induced hepatotoxicity that enables a better identification of drug candidates with high potential for toxicity at early stages of drug development. Therefore, the aim of this work was to improve the prediction of drug-induced liver injury in preclinical studies through evaluation of more reliable and sensitive biomarkers of hepatotoxicity and a better understanding of the underlying mechanistic basis for drug-induced toxicity. First, the ability of a set of potential markers (NGAL, thiostatin, clusterin, PON1) to detect early signs of liver injury was assessed in rats treated with drug candidates that were dropped from further development, in part due to toxic adverse effects in the liver. In summary, PON1 and clusterin were not consistently altered in response to liver injury and thus provide no additive information to the traditional liver enzymes in detecting drug-induced hepatotoxicity. In contrast, thiostatin and NGAL were increased in serum and urine of treated animals in a time- and dose-dependent manner. These changes correlated well with mRNA expression in the target organ and generally reflected the onset and degree of drug-induced liver injury. Receiver-operating characteristics analyses supported serum thiostatin, but not NGAL, as a better indicator of drug-induced hepatobiliary injury than conventional clinical chemistry parameters, such as ALP, ALT and AST. Although thiostatin, an acute phase protein expressed in a range of tissues, may not be specific for liver injury, our results indicate that thiostatin may serve as a sensitive, minimally-invasive diagnostic marker of inflammation and tissue damage in preclinical safety assessment. In the second part of this work, combined application of genomics profiling technology and RNAi to inhibit the pharmacological target of a drug candidate BAY16, a glucagon receptor (GCGR) antagonist, was used to determine if interference with the pharmacological target plays a role in the toxic response to BAY16, and to narrow down those molecular changes that are associated with toxicity, and not the pharmacological action of BAY16. In contrast to Bay 16, which was found to be cytotoxic at concentrations of 75 µM, silencing of the glucagon receptor did not affect cell viability in primary rat hepatocytes. Thus, it can be concluded that hepatotoxicity of Bay 16 was not related to the drugs inhibitory effect on the glucagon receptor in vitro and in vivo. These findings were supported by the fact that most of BAY16-induced changes in gene expression occurred independently of the pharmacological modulation of GCGR. These off-target effects include altered xenobiotic metabolism, oxidative stress, increased fatty acid synthesis, and alterations in cholesterol and bile acid metabolic processes. Although it was not possible to draw a final conclusion about the mechanism of BAY16 hepatotoxicity, changes in these molecular mechanisms appear contribute to progression of hepatic injury. With regard to drug safety assessment in preclinical studies, the utilization of siRNA technology in vitro represents a new approach to improve mechanistic understanding of the nature of drug’s toxicity, being either chemically mediated or due to primary or secondary pharmacological mode of action.
To jointly provide different services/technologies, like IP and Ethernet or IP and SDH/SONET, in a single network, equipment of multiple technologies needs to be deployed to the sites/Points of Presence (PoP) and interconnected with each other. Therein, a technology may provide transport functionality to other technologies and increase the number of available resources by using multiplexing techniques. By providing its own switching functionality, each technology creates connections in a logical layer which leads to the notion of multi-layer networks. The design of such networks comprises the deployment and interconnection of components to suit to given traffic demands. To prevent traffic loss due to failures of networking equipment, protection mechanisms need to be established. In multi-layer networks, protection usually can be applied in any of the considered layers. In turn, the hierarchical structure of multi-layer networks also bears shared risk groups (SRG). To achieve a cost-optimal resilient network, an appropriate combination of multiplexing techniques, technologies, and their interconnections needs to be found. Thus, network design is a combinatorial problem with a large parameter and solution space. After the design stage, the resources of a multi-layer network can be provided to traffic demands. Especially, dynamic capacity provisioning requires interaction of sites and layers, as well as accurate retrieval of constraint information. In recent years, generalized multiprotocol label switching (GMPLS) and path computation elements (PCE) have emerged as possible approaches for these challenges. Like the design, the provisioning of multi-layer networks comprises a variety of optimization parameters, like blocking probability, resilience, and energy efficiency. In this work, we introduce several efficient heuristics to approach the considered optimization problems. We perform capital expenditure (CAPEX)-aware design of multi-layer networks from scratch, based on IST NOBEL phase 2 project's cost and equipment data. We comprise traffic and resilience requirements in different and multiple layers as well as different network architectures. On top of the designed networks, we consider the dynamic provisioning of multi-layer traffic based on the GMPLS and PCE architecture. We evaluate different PCE deployments, information retrieval strategies, and re-optimization. Finally, we show how information about provisioning utilization can be used to provide a feedback for network design.
SUMMARY GABP is a heterodymeric member of Ets-family transcription factors. It consists of two subunits – GABPa which contains DNA binding domain and GABPb, which provides transcriptional activation domain and nuclear localization signal. GABPa/b complex is essential for transcriptional activation of multiple lineage-restricted and housekeeping genes, several viral genes, and in some cases might function as transcriptional repressor. Large variety of data indicates involvement of GABP in the complex regulation of cell growth, specified by quiescence, stimulation/proliferation, apoptosis and senescence. Expression level of GABPa subunit is rapidly increased when resting cells enter S-phase, and GABPa/b complex is critical to promote the continuity of the cell cycle. Conditional inactivation of GABPa expression in mouse embryonic fibroblasts results in a complete block of proliferation and acquisition of senescence-like phenotype. However, the influence of GABP on the other cell growth determinant – the apoptosis – remains largely obscure. Therefore we aimed to investigate the influence of GABPa/b expression level on the cell growth in vitro. Using siRNA approach we achieved efficient but only transient down-regulation of GABPa expression which precluded further cell growth studies. Persistent increase of the expression of GABPb subunit only resulted in a positive effect on the cell growth speed. Simultaneous conditional overexpression of both GABPa and GABPb subunits though, strongly reduced the growth of the affected cell cultures in reversible and in expression level dependent manner. Interestingly, GABPa/b overexpressing cells did show neither cell cycle arrest nor massive induction of apoptosis. However, more detailed analyses revealed that dampened apoptotic processes were taking place in GABPa/b−overexpressing cells, starting with a prominent activation of caspase-12. Interestingly, activation of downstream effector caspases was rather suppressed explaining a weak increase of apoptotic cells in GABPa/b overexpressing cultures. This effect suggests that the activation of caspase-12 by elevated amounts of exogenous GABPa/b reflects the normal physiological mechanism of caspase-12 regulation.
The analysis presented in this paper applies to experimental situations where observers or objects to be studied (both stationary, with respect to each other) are located in environments the optical thickness of which is strongly different. By their large optical thickness, non-transparent media are clearly distinguished from their transparent counterparts. Non-transparent media comprise thin metallic films, packed or fluidised beds, the Earth’s crust, and even dark clouds and other cosmological objects. As a representative example, a non-transparent slab is subjected to transient disturbances, and a rigorous analysis is presented whether physical time reasonably could be constructed under such condition. The analysis incorporates mapping functions that correlate physical events, e, in non-transparent media, with their images, f(e), tentatively located on a standard physical time scale. The analysis demonstrates, however, that physical time, in its rigorous sense, does not exist under non-transparency conditions. A proof of this conclusion is attempted in three steps: i) the theorem “there is no time without space and events” is accepted, (ii) images f[e(s,t)] do not constitute a dense, uncountably infinite set, and (iii) sets of images that are not uncountably infinite do not create physical time but only time-like sequences. As a consequence, mapping f[e(s,t)] in non-transparent space does not create physical analogues to the mathematical structure of the ordered, dense half-set R+ of real numbers, and reverse mapping, f-1f[e(s,t)] would not allow unique identification and reconstruction of original events from their images. In these cases, causality and determinism, as well as invariance of physical processes under time reversal, might be violated. Existence of time holes could be possible, as follows from the sequence of images, f[e(s,t)], that is not uncountably infinite, in contrast to R+. Practical impacts are expected for understanding physical diffusion-like, radiative transfer processes, stability models to protect superconductors against quenchs or for description of their transient local pair density and critical currents. Impacts would be expected also in mathematical formulations (differential equations) of classical physics, in relativity and perhaps in quantum mechanics, all as far as transient processes in non-transparent space would be concerned. An interesting problem is whether temporal cloaking (a time hole) in a transparent medium, as very recently reported in the literature, can be explained by the present analysis. The analysis is not restricted to objects of laboratory dimensions: Because of obviously existing radiation transfer analogues, it is tempting to discuss consequences also for much larger structures in particular if an origin of time is postulated.
During stroke the blood–brain barrier (BBB) is damaged which can result in vasogenic brain edema and inflammation. The reduced blood supply leads to decreased delivery of oxygen and glucose to affected areas of the brain. Oxygen and glucose deprivation (OGD) can cause upregulation of glucose uptake of brain endothelial cells. In this letter, we investigated the influence of MK801, a non-competitive inhibitor of the NMDA-receptor, on the regulation of the glucose uptake and of the main glucose transporters glut1 and sglt1 in murine BBB cell line cerebEND during OGD. mRNA expression of glut1 was upregulated 68.7- fold after 6 h OGD, which was significantly reduced by 10 μM MK801 to 28.9-fold. Sglt1 mRNA expression decreased during OGD which was further reduced by MK801. Glucose uptake was significantly increased up to 907% after 6 h OGD and was still higher (210%) after the 20 h reoxygenation phase compared to normoxia. Ten micromolar MK801 during OGD was able to reduce upregulated glucose uptake after OGD and reoxygenation significantly. Presence of several NMDAR subunits was proven on the mRNA level in cerebEND cells. Furthermore, it was shown that NMDAR subunit NR1 was upregulated during OGD and that this was inhibitable by MK801. In conclusion, the addition of MK801 during the OGD phase reduced significantly the glucose uptake after the subsequent reoxygenation phase in brain endothelial cells.