Anomalous lateral diffusion in a viscous membrane surrounded by viscoelastic media

We investigate the lateral dynamics in a purely viscous lipid membrane surrounded by viscoelastic media such as polymeric solutions. We first obtain the generalized frequency-dependent mobility tensor and focus on the case when the solvent is sandwiched by hard walls. Due to the viscoelasticity of the solvent, the mean square displacement of a disk embedded in the membrane exhibits an anomalous diffusion. An useful relation which connects the mean square displacement and the solvent modulus is provided. We also calculate the cross-correlation of the particle displacements which can be applied for two-particle tracking experiments.Comment: 6 pages, 2 figure

Marital Adjustment and Interpersonal Needs of Married Individuals

The present study was conducted to explore the dyadic adjustment and interpersonal needs of married individuals. For this purpose the responses were obtained on Revised- Dyadic Adjustment Scale and Fundamental Interpersonal Relations Orientation-Behavior Scale by 351 married individuals who were selected using snowball sampling technique. The obtained responses were scored and analyzed using ANOVA, Pearson Correlation and Multiple Regression Analysis (hierarchical stepwise). The findings of the study were that situational factors like qualifications, number of children and structure of family had statistical significant effect on dyadic adjustment. For interpersonal needs along with all these factors number of dependent family members also had significant effect. Apart from situational factors, the results also indicate that there was significant negative relationship between interpersonal needs and dyadic adjustment of married individuals. Moreover, significant impact of interpersonal need on their dyadic adjustment was also found

Experimental set-up for investigation of fault diagnosis of a centrifugal pump

Centrifugal pumps are complex machines which can experience different types of fault. Condition monitoring can be used in centrifugal pump fault detection through vibration analysis for mechanical and hydraulic forces. Vibration analysis methods have the potential to be combined with artificial intelligence systems where an automatic diagnostic method can be approached. An automatic fault diagnosis approach could be a good option to minimize human error and to provide a precise machine fault classification. This work aims to introduce an approach to centrifugal pump fault diagnosis based on artificial intelligence and genetic algorithm systems. An overview of the future works, research methodology and proposed experimental setup is presented and discussed. The expected results and outcomes based on the experimental work are illustrated