Predictors of empathy in women social workers

Summary This study explored the manifestation of reflective ability, emotional intelligence and empathy in 120 women social workers in Tiruchirappalli, India. A cross-sectional quantitative design was used and the Emotional Intelligence Scale, Groningen Reflective Ability Scale and the Empathy Assessment Index were administered to assess the manifestation of these dimensions. Multiple regression analysis was used to identify predictors of empathy. Findings Based on mean scores, the majority of respondents were classified as being ‘high’ in terms of emotional intelligence and reflective ability. Respondents of different age groups showed a significant difference in terms of the manifestation of empathy. Age, self-reflection and appraisal and expression of emotions were extracted as significant predictors of empathy. Application The article discusses the importance of these professional attributes for effective practice and the role of academic institutions and social work organisations in fostering the development of these dimensions in social work practitioners

Self-Optimization of LTE Networks Utilizing Celnet Xplorer

In order to meet demanding performance objectives in Long Term Evolution (LTE) networks, it is mandatory to implement highly efficient, autonomic self-optimization and configuration processes. Self-optimization processes have already been studied in second generation (2G) and third generation (3G) networks, typically with the objective of improving radio coverage and channel capacity. The 3rd Generation Partnership Project (3GPP) standard for LTE self-organization of networks (SON) provides guidelines on self-configuration of physical cell ID and neighbor relation function and self-optimization for mobility robustness, load balancing, and inter-cell interference reduction. While these are very important from an optimization perspective of local phenomenon (i.e., the eNodeB's interaction with its neighbors), it is also essential to architect control algorithms to optimize the network as a whole. In this paper, we propose a Celnet Xplorer-based SON architecture that allows detailed analysis of network performance combined with a SON control engine to optimize the LTE network. The network performance data is obtained in two stages. In the first stage, data is acquired through intelligent non-intrusive monitoring of the standard interfaces of the Evolved UMTS Terrestrial Radio Access Network (E-UTRAN) and Evolved Packet Core (EPC), coupled with reports from a software client running in the eNodeBs. In the second stage, powerful data analysis is performed on this data, which is then utilized as input for the SON engine. Use cases involving tracking area optimization, dynamic bearer profile reconfiguration, and tuning of network-wide coverage and capacity parameters are presented. (C) 2010 Alcatel-Lucent

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I wish to express my sincere gratitude to my research supervisor Prof. P. S. Naidu for his invaluable guidance, encouragement and support. I am also indebted to him for spending many hours with me in discussions and also for providing all the necessary computing facilities. My special thanks to Dr. K. V. S. Hari, Prof. Y. V. Venkatesh, Prof. N. Balakrishnan and Mr. V. V. Sanjaynath for the useful discussions I had with them. I thank Udaya Shankar for helping me in preparing the thesis. I would always retnember the pleasant times I had with my friends Vasuki, Ananth, Apama, Sethu Selvi, Kaliappan, Sneha, Anitha, Subashini, Parvathy and MohanDoss, for which I am grateful to them. J am indebted to my parents for their u~lwavering backing and inspiration. I also thank my sister, my anna and armi for sharing the best moments of my life. The scattered field from an object, when illuminated with ultrasound, is useful in the reconstruction of it's cross section- a problem broadly classified as 'tomography'. In many situations of medical imaging, we will be interested in getting to know the locatio

Estimation of Shape of Binary Polygonal Object from Scattered Field

Abstract—We present a method of estimating the shape of a weakly scattering binary convex polygonal object from the backscattered field. We use the concept scattering centers where it has been possible to model the scattered field as a sum of complex sinusoids. All corners of an object could be estimated with three or more illuminations, out of which at least two are in orthogonal directions. Using the amplitude of the sinusoids, we have also resolved the ambiguity in joining the corners when there are more than one object. Index Terms—Broadband illumination, diffraction tomography, pairing algorithm, shape estimation. I

Estimation of Shape of Binary Polygonal Object from Scattered Field

We present a method of estimating the shape of a weakly scattering binary convex polygonal object from the backscattered field. We use the concept scattering centers where it has been possible to model the scattered field as a sum of complex sinusoids. All corners of an object could be estimated with three or more illuminations, out of which at least two are in orthogonal directions. Using the amplitude of the sinusoids, we have also resolved the ambiguity in joining the corners when there are more than one object

A Study of Cramer-Rao Bounds on Object Shape Parameters From Scattered Field

We have studied the Cramer-Rao bounds (CRBs) on sire and orientation elf a known abject using the scattered (acoustic or electromagnetic) field. A circular array of transievers surrounding the object under test is proposed The CRBs are theoretically derived and compared with the mean square errors computed via Monte Carlo simulations. The CRBs are found to increase rapidly with wavelength. For reliable estimates, the wavelength of illumination must be smaller than the size of the object

Dynamic optimization in future cellular networks

With multiple air-interface support capabilities and higher cell densities, future cellular networks will offer a diverse spectrum of user services. The resulting dynamics in traffic load and resource demand will challenge present control loop algorithms. In addition, frequent upgrades in the network infrastructure will substantially increase the network operation costs if done using current optimization methodology. This motivates the development of dynamic control algorithms that can automatically adjust the network to changes in both traffic and network conditions and autonomously adapt when new cells are added to the system. Bell Labs is pursuing efforts to realize such algorithms with research on near-term approaches that benefit present third-generation (3G) systems and the development of control features for future networks that perform dynamic parameter adjustment across protocol layers. In this paper, we describe the development of conceptual approaches, algorithms, modeling, simulation, and real-time measurements that provide the foundation for future dynamic network optimization techniques. © 2005 Lucent Technologies Inc. shadows and interference. Occasionally, software parameters such as handoff thresholds and cell-power budgets are also adjusted. While hardware parameters are easily set during network installation, they are hard to change afterward. As a result, the optimiza-tion with respect to hardware parameters occurs dur-ing network planning and deployment, and it is only repeated in areas where performance problems or infrastructure upgrades are required. Since it is per-formed as a singular event, the optimization process i