Perceived Social Support among Mentally Ill Patients

Introduction: Social support is the perception that one is cared for, has assistance available from significant others and its benefit is by buffering stress by influencing the ability to adjust and live with illness. Social support can uplift the quality and subjective wellbeing of people. The objective of this study was to examine the perceived social support and factors influencing it among mentally ill patients. Methods: A descriptive cross-sectional study was carried out. Ninety cases aged more than 18 years visiting outpatient of psychiatric department and diagnosed as a case of mental illness for at least a year were included. Instruments used were self-developed proforma and Multidimensional Scale of Perceived Social Support. Interview technique was used to collect the data. Results: Majority (60%) of the patients perceive social support from family, 28% of the patients perceive social support from significant others. Regression analysis showed that the perceived social support is influenced by employment status, type of family one lives in and physical illness. It is not influenced by gender, subjective financial status and frequency of hospitalization. Conclusion: Perceived social support is influenced by employment status, type of family one lives in and physical illness. Majority (60%) of the patients perceive social support from family

A SPEA2 Based Planning Framework for Optimal Integration of Distributed Generations

The paper presents a multi-objective optimisation method for analysing the best mix of renewable and non- renewable distributed generations (DG) in a distribution network. The method aims at minimising the total cost of the real power generation, line losses and CO2 emissions, and maximising the benefits from DG installations over a planning horizon of 20 years. The paper proposes new objective functions that take into account the longevity of DG operations as one of its selection criteria. The analysis utilises the Strength Pareto Evolutionary Algorithm 2 (SPEA2) for optimisation and MATPOWER for solving the optimal power flow problems

A Multi-Objective Planning Framework for Optimal Integration of Distributed Generations

This paper presents an evolutionary algorithm for analyzing the best mix of distributed generations (DG) in a distribution network. The multi-objective optimization aims at minimizing the total cost of real power generation, line losses and CO2 emissions, and maximizing the benefits from the DG over a 20 years planning horizon. The method assesses the fault current constraint imposed on the distribution network by the existing and new DG in order not to violate the short circuit capacity of existing switchgear. The analysis utilizes one of the highly regarded evolutionary algorithm, the Strength Pareto Evolutionary Algorithm 2 (SPEA2) for multi-objective optimization and MATPOWER for solving the optimal power flow problems

Effectiveness of Self Instructional Model on the Management of Violent Patients among Nursing Personnel in Selected Ward of Lumbini Medical College.

Introduction: Mental health nursing is the practice of promoting mental and caring for people with mental illness. Violence towards nurses by the psychiatry patient in clinical setting is an endemic worldwide and a multifaceted problem. Method: Purposive sampling of thirty sample of nurses from psychiatry ward, emergency room and medicine ward were selected. Sampling Technique was pre-experimental, one group pre-test, post­test design, Reliability of the tool (r=0.95) was tested by split half method using Karl Pearson's Product Moment Correlation formula and Spearman-Brown's Prophecy formula. Socio-demographic data by using proforma. Pretest was done, knowledge score was calculated, self-developed instructional model was introduced and after 7 days’ duration post-test was done. Results: Pre-test assessment revealed that the highest percentage (53.34) of the nursing personnel had good level of knowledge. The significance of difference between the pre-test and post-test knowledge scores was statistically tested using paired 't' test and was found to be very highly significant (t=11.66, P < 0.05). Interpretation: The study revealed that there was very highly significant increase in the knowledge following the administration of self-instructional module

Diet of Bengal Tigers (Panthera tigris tigris) in Chitwan National Park, Nepal

We studied the diet of the Bengal tigers (Panthera tigris tigris) in Chitwan National Park, Nepal, by identifying 109 prey items from 85 tiger scats. Tigers in this region fed upon eight different mammal species. Chital (Axis axis) was the major prey with a frequency of 45% of the Tigers’ diet. The occurrence of other prey species included sambar (Cervus unicolor, 23%), wild pig (Sus scrofa, 15%), hog deer (Axis porcinus, 9%), barking deer (Muntiacus muntjak, 4%), and gaur (Bos gaurus, 2%). Tigers also hunted livestock, but this prey comprised a small component of the relative biomass (buffalo 5% and cow 2%). Our study suggests that the tiger depends mostly upon wild prey for its subsistence in the Chitwan National Park, but will also sporadically hunt livestock

3D bulk grain evolution in polycrystalline Cu:comparison between HEDM observation and FFT based crystal plasticity simulations

In this study, microstructural evolution in polycrystalline Cu is studied via high-energy X-ray diffraction microscopy (HEDM) and compared to the results of a fast Fourier transform (FFT) based small strain formulation of a crystal plasticity (CP) deformation model [1]. The nondestructive nature of the HEDM experiments enable in-situ measurement of bulk samples, thus allowing access to volumetric microstructure maps through multiple stages of deformation. A uniaxial tension experiment was performed and the reconstructed 3D image [2] of the initial state is used as a direct input in the CP-FFT model to simulate plastic deformation. Macroscopic texture evolution as well as local micromechanical fields evolution within individual 3D bulk grains are tracked and the prediction is compared with the observed phenomena. On a global scale, reasonable agreement is observed between the two results, whereas, only a weak match is demonstrated at grain level [3]. From the current results, we conclude the need for incorporating neighborhood effects and multigrain interactions in the polycrystalline models to improve the predictive capability. REFERENCES [1] Lebensohn, R.A. N-site modeling of a 3D viscoplastic polycrystal using fast Fourier transform. Acta Materialia. 2001, 49(14), 2723–2737. [2] Li, S.F., Suter, R.M. Adaptive reconstruction method for threedimensional orientation imaging. Journal of Applied Crystallography. 2013, 46(2), 512–524. [3] Pokharel, R. et al. Polycrystal plasticity: comparison between grain-scale observations of deformation and simulations. Annu. Rev. Condens. Matter Phys. 2014, 5, 317–346

CONVECTIVE HEAT TRANSFER ENHANCEMENT OF A CHANNEL-FLOW USING SYNTHETIC JET

A transient numerical simulation was carried out using ANSYS Fluent, to investigate the convection heat transfer enhancement of the air channel flow using the synthetic jet. Keeping the dimensional parameters of the domain fixed, averaged channel flow velocity was varied up to 3m/s. The diaphragm displacement effect on synthetic jet was studied, ranging the peak-to-peak displacement value from 0.4 to 1.2mm with increment of 0.4mm. Three locations were studied to determine the best operating location of the synthetic jet. Also, frequencies were varied up to 200Hz with every 50Hz increment, from initial condition of 50Hz. It was found that the effect of the synthetic jet deteriorates as channel velocity is increased, as vortex structures get degenerated by strong channel flow. The heat transfer rate decreases, as the synthetic jet location is shifted from upstream position to the front end and center of the heated surface, moving further downstream. The maximum diaphragm displacement of 1.2 and maximum frequency increased the heat transfer rate by 97.43%. Finally, Q-criterion was analyzed to observe the interaction between the channel flow and synthetic jet, and their transport mechanism, along with the interaction with the heated surface. It was found that the impingement or sweeping effect of the vortical structures has significant effect on the convective heat transfer rate of the heated surface in the channel

Secondary terms in the number of vanishings of quadratic twists of elliptic curve L-functions

We examine the number of vanishings of quadratic twists of the L-function associated to an elliptic curve. Applying a conjecture for the full asymptotics of the moments of critical L-values we obtain a conjecture for the first two terms in the ratio of the number of vanishings of twists sorted according to arithmetic progressions.Comment: 16 pages, many figure