Investigation of discrepancy between tuff used as building stones in historical and modern buildings in western Turkey

Tuffs located around the town of Alacati, Turkey have been used in building construction for many years in the past. Recently, based on the efforts of the local government to develop a unique identity for the town, this practice is re-initiated. After about five years from construction, tuff used in newly constructed buildings started to show signs of deterioration. Even though tuff used in recent and older buildings in the town appeared to be the same to the naked eye, a similar deterioration has not been observed in the buildings constructed in the past (some are more than 100 years old). A previous research study has documented the suitability of tuff used in new constructions but the reasons for the discrepancy between the tuffs used in construction of the older and newer buildings has not been previously investigated. In this study the different field performances of tuffs used for historical and modern buildings were investigated against deterioration in the same environment based on the material properties and their durability. This comparison showed that the mineralogical composition and amount of clay contents of the tuffs were one of the major factors resulting in difference in deterioration and durability rates of the tuffs used in building construction within the region. (C) 2015 Elsevier Ltd. All rights reserved

Concomitant use of corticosteroids at the baseline does not affect the drug survival of abatacept in rheumatoid arthritis

Bu çalışma, 13-16, Haziran 2018 tarihlerinde Amsterdam[Hollanda]’da düzenlenen Congress of the European-League-Against-Rheumatism (EULAR) Kongresi‘nde bildiri olarak sunulmuştur.European League Against Rheumatis

Xenogenic neural stem cell-derived extracellular nanovesicles modulate human mesenchymal stem cell fate and reconstruct metabolomic structure

Abstract Extracellular nanovesicles, particularly exosomes, can deliver their diverse bioactive biomolecular content, including miRNAs, proteins, and lipids, thus providing a context for investigating the capability of exosomes to induce stem cells toward lineage-specific cells and tissue regeneration. In this study, it is demonstrated that rat subventricular zone neural stem cell-derived exosomes (rSVZ-NSCExo) can control neural-lineage specification of human mesenchymal stem cells (hMSCs). Microarray analysis shows that the miRNA content of rSVZ-NSCExo is a faithful representation of rSVZ tissue. Through immunocytochemistry, gene expression, and multi-omics analyses, the capability to use rSVZ-NSCExo to induce hMSCs into a neuroglial or neural stem cell phenotype and genotype in a temporal and dose-dependent manner via multiple signaling pathways is demonstrated. The current study presents a new and innovative strategy to modulate hMSCs fate by harnessing the molecular content of exosomes, thus suggesting future opportunities for rSVZ-NSCExo in nerve tissue regeneration

Delta lake: high-performance ACID table storage over cloud object stores

Cloud object stores such as Amazon S3 are some of the largest and most cost-effective storage systems on the planet, making them an attractive target to store large data warehouses and data lakes. Unfortunately, their implementation as key-value stores makes it difficult to achieve ACID transactions and high performance: metadata operations such as listing objects are expensive, and consistency guarantees are limited. In this paper, we present Delta Lake, an open source ACID table storage layer over cloud object stores initially developed at Databricks. Delta Lake uses a transaction log that is compacted into Apache Parquet format to provide ACID properties, time travel, and significantly faster metadata operations for large tabular datasets (e.g., the ability to quickly search billions of table partitions for those relevant to a query). It also leverages this design to provide high-level features such as automatic data layout optimization, upserts, caching, and audit logs. Delta Lake tables can be accessed from Apache Spark, Hive, Presto, Redshift and other systems. Delta Lake is deployed at thousands of Databricks customers that process exabytes of data per day, with the largest instances managing exabyte-scale datasets and billions of objects