Fisetin Attenuates Paracetamol-Induced Hepatotoxicity by Regulating CYP2E1 Enzyme

Abstract Paracetamol is one of the drugs that cause hepatic damage. Fisetin has wide pharmacological effects such as anticancer, antiinflammatory and antioxidant. We aimed to evaluate the possible protective effect of fisetin on paracetamol-induced hepatotoxicity. Fisetin was administered at 25 and 50 mg/kg doses. Paracetamol was administered orally at a dose of 2 g/kg for induce hepatotoxicity 1 h after the fisetin and NAC treatments. The rats were sacrificed 24h after the Paracetamol administration. Tumor necrosis factor-alpha (TNF-α), NFκB and CYP2E1 mRNA levels and Superoxide dismutase (SOD) activity, glutathione (GSH) and malondialdehyde (MDA) levels of livers were determined. Serum ALT, AST and ALP levels were measured. Histopathological examinations were also performed. Fisetin administration significantly decreased the ALT, AST and ALP levels in a dose dependent manner. In addition, SOD activity and GSH levels increased, and the MDA level decreased with the treatment of fisetin. The TNF-α, NFκB and CYP2E1 gene expressions were significantly lower in both doses of the fisetin groups compared with the PARA group. Histopathological examinations showed that fisetin has hepatoprotective effects. This study showed that fisetin has the liver protective effects by increasing GSH, decreasing inflammatory mediators and CYP2E1

Investigation of Mechanical and Physical Features of Cementitious Jet Grout Applications for Various Soil Types

The cementitious jet grout method (CJG) is one of the most preferred methods for the ground reinforcement of building foundations. As a result of the soil improvement made with the CJG, it was observed that there was a decrease in settlement, permeability, and liquefaction potential and an increase in the bearing capacity. In this study, columns with different grouting pressures (400, 450, and 500 bar) and water/cement ratios of 0.75, 1.00, and 1.25 were produced on several soil types (sand, clay, and alluvial soil) that have high liquefaction, settlement potential, and low bearing capacity. CJG columns were kept for 28 days after completion and then removed from the soil, and diameter measurements were made and significant differences were observed according to pressure and w/c ratios. Three samples were taken in CJG columns extracted from the ground. Laboratory tests were conducted to determine the physical (water absorption rate, density, and porosity) and mechanical (UCS and UPV) properties of CJG column samples. The highlighting of this paper is to build full-scale CJG columns in sandy soil, clay soil, and alluvial soil, increase the geotechnical engineering properties, and investigate the strength development, and diameter under different w/c ratios and different injection pressures. The strength of CJG columns in sandy soils was found between 36 and 15 MPa, in clay soils between 15 and 4 MPa and in alluvial soils between 32 and 15 MPa. Moreover, it was observed that there was a significant increase in the diameters with the increase in the injection pressure and a decrease in the compressive strengths. When the CJG column diameters were compared with constant injection pressure and increasing w/c ratios, the maximum increase was found to be 13% for sandy soils, 10% for clayey soils, and 14% for alluvial soils. The column diameters were 37% larger for sandy soils than clayey soils and 26% larger than alluvial soils at the same w/c ratio and constant injection pressure. In conclusion, since the results found in this study were made on a real scale in the field and for three different soil conditions, the results can be used directly in future engineering applications

Identifying Criminal Organizations From Their Social Network Structures

Identification of criminal structures within very large social networks is an essential security feat. By identifying such structures, it may be possible to track, neutralize, and terminate the corresponding criminal organizations before they act. We evaluate the effectiveness of three different methods for classifying an unknown network as terrorist, cocaine, or noncriminal. We consider three methods for the identification of network types: evaluating common social network analysis metrics, modeling with a decision tree, and network motif frequency analysis. The empirical results show that these three methods can provide significant improvements in distinguishing all three network types. We show that these methods are viable enough to be used as supporting evidence by security forces in their fight against criminal organizations operating on social networks.WoSScopu

O R I G I N A L P A P E R Stool Specimen Collection: Nurses' and Patients' Perspectives Ramazan Gumral, MD

Abstract Aim: The aim of the study was to assess the difficulties that nurses are confronted with during the procedure of taking stool specimens, and the difficulties that patients experienced during giving stool specimens and their solutions. Background: Specimen collection is often the first crucial step in determining diagnosis and treatment methods. Appropriate specimen collection, transport, and processing are important to diagnose infectious diseases accurately. Methods: This descriptive/cross-sectional study included 173 nurses and 108 patients. To collect data, questionnaires developed by the authors were used. Results: Of the nurses, 24.3% stated that they have difficulty in explaining to patients the method for taking stool specimens. Of the patients, 66.7% expressed that they had difficulties in obtaining their own stool specimens. The main complaints of the patients were "not being able to determine the quantity of the stool to be given". Of the problematic patients, 16.7% expressed that they found no solution to their problems. Conclusion: Nurses should give patients information regarding an appropriate and applicable method of giving a specimen, and patients should be evaluated as to whether they need explanation on it

Evolutionary Multiobjective Query Workload Optimization Of Cloud Data Warehouses

With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. Our novel approach minimizes both objectives by deploying alternative virtual resources and query plans making use of the virtual resource elasticity of the Cloud. We propose an exact multiobjective branch-and-bound and a robust multiobjective genetic algorithm for the optimization of distributed data warehouse query workloads on the Cloud. In order to investigate the effectiveness of our approach, we incorporate the devised algorithms into a prototype system. Finally, through several experiments that we have conducted with different workloads and virtual resource configurations, we conclude remarkable findings of alternative deployments as well as the advantages and disadvantages of the multiobjective algorithms we propose.PubMedWoSScopu

Fresh Properties of Cementitious Grout with Rice Husk Powder

This paper reports the results of a study conducted to investigate the effects of rice husk powder (RHP) on the rheological properties and the fluidity of grout mixtures. The experiments were carried out with the grout mixtures including of 4, 8, 12, 16 and 20% content of RHP and 0.75, 1.00, 1.25 and 1.50 ratios of water-cement. The purpose of the study is to provide a new knowledge about using RHP as a filler in cement grouts in order to improve the grout methods and services, and achieve a good product performance. Test results showed that the increase in RHP content in the mix increases the plastic viscosity with all water-cement ratios. At 0.75, 1.00 and 1.25 ratios of water-cement, the grout mixtures showed shear-thinning behavior. On the other hand, this behavior changes to shear-thickening behavior at at all RHP percentages. Experimental results indicated that this waste product can be utilized as a filler in cement grout for geotechnical application such as filling large voids

Improving Hadoop Hive Query Response Times Through Efficient Virtual Resource Allocation

The performance of the MapReduce-based Cloud data warehouses mainly depends on the virtual hardware resources allocated. Most of the time, the resources are values selected/given by the Cloud service providers. However, setting the right virtual resources in accordance with the workload demands of a query, such as the number of CPUs, the size of RAM, and the network bandwidth, will improve the response time when querying large data on an optimized system. In this study, we carried out a set of experiments with a well-known Mapreduce SQL-translator, Hadoop Hive, on benchmark decision support the TPC benchmark (TPC-H) database in order to analyze the performance sensitivity of the queries under different virtual resource settings. Our results provide valuable hints for the decision makers who design efficient MapReduce-based data warehouses on the Cloud

Lipid Storage Myopathy in Behçet's Disease: A Rare Cause of Elevated Serum Creatine Kinases Levels

Muscular involvement in Behçet’s disease is rare and there are only a few case reports in the literature. The causes of elevated muscle enzymes in a patient with Behcet’s disease are many, including myositis, drug-induced myopathy, metabolic myopathy, and the disease itself. We herein have defined an algorithmic approach to a patient with Behcet’s disease and elevated muscle enzymes and report a case of coexisting of lipid storage myopathy