Fuzzy Analytic Hierarchy Process Evaluation Method in Assessing Corrosion Damage of Reinforced Concrete Bridges

Effective method used to deal with the corrosion damage condition of any concrete bridge superstructure will help decision makers of bridge management agencies to better choose repair material, and optimize repair method. Simplified corrosion index (SCI) is a very useful and simple index to characterize the actual corrosion damage condition of a reinforced concrete bridge superstructure. In this paper, SCI is calculated by combining the Corrosion Damage Index (CDI), Environment Change Factor (ECF) and Material Vulnerability Factor (MVF). The Analytic Hierarchy Process (AHP) method is applied to decide the weight factors of CDI, ECF and MVF. The Fuzzy-AHP evaluation method is used in this study to deal with the fuzzy problem of differentiating the different levels of corrosion indicators and to determine the appropriate weight factors. The asymmetric nearness degree method is applied to re-analyze the evaluation vector from Fuzzy-AHP method to calculate the corrosion damage level based on all corrosion indicators. A numerical example was presented to demonstrate the procedure and the benefits of the AHP method, and the proposed Fuzzy-AHP approach, along with the asymmetric nearness degree method, in dealing with the fuzzy nature of SCI calculation problem

Genome-wide Analysis Using ChIP-seq Reveals Novel Downstream Targets of Stat3

poster abstractMany cells are involved in the orchestra that is bone homeostasis--particularly osteoclasts and osteoblasts who mediate remodeling of bones. This creates a balance that must be kept in check, otherwise pathologies arise. The JAK-Stat signaling pathway is crucial to maintaining this balance. It has long been known that the transcription factor Stat3 has more profound effects on bone homeostasis than other members of the Stat family of proteins. Recently, a genetic condition called Job’s Syndrome has been specifically linked to point mutations in the STAT3 gene. These patients present with severe bone abnormalities including prominent foreheads, broad nasal bridges, and abnormal eye spacing. Therefore, our lab has extensively studied conditional knockouts of Stat3 in all three types of bones cells in mice and observed severe deficiencies in numerous parameters of normal bone phenotypes. Stat3 seems to play a principal role in the signaling that takes place upon mechanical loading of bone tissues and calling cells into action where they are needed. Furthermore, STAT3 has been found to be up-regulated in the early-response gene cluster following mechanical loading. Our current approach to studying Stat3’s effects on bone include employing available ChIP-seq data in order to elucidate the genome-wide binding patterns of Stat3. From the peak distribution, we can begin to uncover novel downstream effectors of Stat3 signaling that are responsible for the observed phenotypes in our mouse knockout model. A preliminary look at the ChIP-seq data reveals Wnt and Nrf2 signaling to be under the control of Stat3. In our further research we endeavor to experimentally confirm the ChIP-seq data for Stat3 with RNA-seq experiments in the hopes of finding potential therapeutic targets for bone pathologies

Tubular Electrospun Composite Scaffolds for Potential Bone Tissue Engineering

poster abstractElectrospinning is an adaptable method in which polymer solutions or melts converted into micro or nano scale fibers. In this procedure, polymer solutions are loaded into 10 mL syringes that contained millimeter scale nozzles. High voltage (20-30 kV) was applied to polymer solutions at the tip of the nozzle to stabilize the surface tension by electrostatic force. The critical point where this stabilization occurred is called Taylor cone and it lets the droplets to turn into polymer sprays. The fibers were collected onto a tubular rotational collector, which was grounded. Different tubular scaffolds composed of pure polycaprolactone (PCL), small intestinal submucosa (SIS), hydroxyapatite (HA) and tricalciumphosphate (TCP) were prepared by using the electrospinning technique. 13 and 15 wt% pure PCL stock solutions were prepared by dissolution in 1,1,1,3,3,3-hexafluoro-2-propanol (HPF) and stirring at the room temperature until a viscous translucent liquid was acquired. Composite PCL/SIS and PCL/HA dopes were prepared from 10 wt% PCL stock by adding SIS or HA in an 8:1 (PCL:SIS, PCL:HA) dry weight ratio. Similarly, PCL/HA/TCP solutions were made from 13 wt% PCL stock by adding HA and TCP in a 8:1:1 dry weight ratio. Each individual scaffold will be scanned through electron microscope (ECM) to gather information about the % porosity and the diameter of the electrospun fibers. Mechanical testing will be conducted to measure the tensile strength of the fibers. Finally, implanting the tubular scaffolds into axolotls will test cell biocompatibility of the scaffolds

Application of Nor Sand Constitutive Model in a Highway Fill Embankment Slope Stability Failure Study

This paper presents a case study of a static load induced liquefaction in a simple roadway widening project constructed in north eastern part of Ohio in 2008. The widening required an embankment fill, which moved nearly 4 feet vertically and 1 foot laterally after two days of installation. The main objective of the work is to demonstrate how a simple Constitutive model, in this case Nor Sand model, can represent the static liquefaction in loose sand layers under specific conditions. A set of parameters is assumed based on the soil properties and an Excel Spreadsheet is used for simulations of triaxial compression of sand. It was considered that the situation which led to the failure, and the situation after the solution adopted. Moreover, slope stability analysis is provided for validation of the original results using a commercial software. It was found that the model can represent through stress strain curves and stress paths the behavior of the soil layer which led to the embankment fill movement. As the original work considered only slope stability analysis to explain this phenomenon, the present study shows a different approach for the case study, and this is the main contribution of this research

Can the "brick wall" model present the same results in different coordinate representations?

By using the 't Hooft's "brick wall" model and the Pauli-Villars regularization scheme we calculate the statistical-mechanical entropies arising from the quantum scalar field in different coordinate settings, such as the Painlev\'{e} and Lemaitre coordinates. At first glance, it seems that the entropies would be different from that in the standard Schwarzschild coordinate since the metrics in both the Painlev\'{e} and Lemaitre coordinates do not possess the singularity at the event horizon as that in the Schwarzschild-like coordinate. However, after an exact calculation we find that, up to the subleading correction, the statistical-mechanical entropies in these coordinates are equivalent to that in the Schwarzschild-like coordinate. The result is not only valid for black holes and de Sitter spaces, but also for the case that the quantum field exerts back reaction on the gravitational field provided that the back reaction does not alter the symmetry of the spacetime.Comment: 8 pages, Phys. Rev. D in pres

Attributed Network Embedding for Learning in a Dynamic Environment

Network embedding leverages the node proximity manifested to learn a low-dimensional node vector representation for each node in the network. The learned embeddings could advance various learning tasks such as node classification, network clustering, and link prediction. Most, if not all, of the existing works, are overwhelmingly performed in the context of plain and static networks. Nonetheless, in reality, network structure often evolves over time with addition/deletion of links and nodes. Also, a vast majority of real-world networks are associated with a rich set of node attributes, and their attribute values are also naturally changing, with the emerging of new content patterns and the fading of old content patterns. These changing characteristics motivate us to seek an effective embedding representation to capture network and attribute evolving patterns, which is of fundamental importance for learning in a dynamic environment. To our best knowledge, we are the first to tackle this problem with the following two challenges: (1) the inherently correlated network and node attributes could be noisy and incomplete, it necessitates a robust consensus representation to capture their individual properties and correlations; (2) the embedding learning needs to be performed in an online fashion to adapt to the changes accordingly. In this paper, we tackle this problem by proposing a novel dynamic attributed network embedding framework - DANE. In particular, DANE first provides an offline method for a consensus embedding and then leverages matrix perturbation theory to maintain the freshness of the end embedding results in an online manner. We perform extensive experiments on both synthetic and real attributed networks to corroborate the effectiveness and efficiency of the proposed framework.Comment: 10 page

Understanding and Predicting Delay in Reciprocal Relations

Reciprocity in directed networks points to user's willingness to return favors in building mutual interactions. High reciprocity has been widely observed in many directed social media networks such as following relations in Twitter and Tumblr. Therefore, reciprocal relations between users are often regarded as a basic mechanism to create stable social ties and play a crucial role in the formation and evolution of networks. Each reciprocity relation is formed by two parasocial links in a back-and-forth manner with a time delay. Hence, understanding the delay can help us gain better insights into the underlying mechanisms of network dynamics. Meanwhile, the accurate prediction of delay has practical implications in advancing a variety of real-world applications such as friend recommendation and marketing campaign. For example, by knowing when will users follow back, service providers can focus on the users with a potential long reciprocal delay for effective targeted marketing. This paper presents the initial investigation of the time delay in reciprocal relations. Our study is based on a large-scale directed network from Tumblr that consists of 62.8 million users and 3.1 billion user following relations with a timespan of multiple years (from 31 Oct 2007 to 24 Jul 2013). We reveal a number of interesting patterns about the delay that motivate the development of a principled learning model to predict the delay in reciprocal relations. Experimental results on the above mentioned dynamic networks corroborate the effectiveness of the proposed delay prediction model.Comment: 10 page

Selective inactivation of Stat3 in osteoclasts affect bone mass differently in female and male mice

poster abstractSignal Transducer and Activator of Transcription 3 (Stat3) is activated by the binding of various cytokines to their receptors, such as IL-6. Previous studies have revealed that conditional knockouts of Stat3 in osteoblasts and osteocytes cause a decrease in bone mineral density and strength. To study the role of Stat3 in osteoclasts, osteoclast- specific knockout mice were created using cre-lox recombination. Bone mineral density (BMD) and bone mineral content (BMC) were calculated for femurs and the fourth lumbar vertebra (L4) of 8 weeks old mice. Analysis revealed a decrease in BMD of femurs of osteoclast-selective Stat3 knockout (KOOc-Stat3) mice compared to their littermate control (p<0.05). There was also a decrease in BMC of the femurs of KOOc-Stat3 mice compared to the littermate controls (p<0.05). Analysis of μCT data from trabecular bone in the distal femur showed significant decreases in trabecular number and bone volume/tissue volume in both male and female KOOc-Stat3 mice. Trabecular separation was increased in male and female KOOc-Stat3 mice. Bone histomorphometry at the distal femur revealed a significant decrease in bone formation rate in males and females KOOc-Stat3 mice compared to the littermate controls. Osteoclast number identified by tartrate resistant acid phosphatase (TRAP) stain in female KOOc-Stat3 mice was significantly deficient from their control. These data suggest that inactivation of Stat3 in osteoclasts influences bone metabolism through both osteoblasts and osteoclasts. Knockout of Stat3 in either cell type leads to decreases in bone strength, making Stat3 a good drug target for treatment of diseases such as osteoporosis