A community based study on dengue awareness and preventive practices among urban slum population in Hyderabad, South India

Background: Dengue is identified as public health problem due to its rapid spread throughout the world. In India raising trend of dengue cases in monsoon is being observed. Objectives were to determine the level of awareness regarding dengue fever and practice of preventive measures and its association with socio-demographic factors; and to find out the association between awareness and practice of preventive measures.Methods: A community based cross sectional study was conducted among 150 residents of urban slum area, Shaikpet. Mean scores of awareness and practices were found and with a cut off >60% categorized as good. Chi-square test was used to find association with socio-demographic factors. Logistic regression was done for risk estimation.Results: The awareness regarding dengue fever was only 22.7% with a mean score, 8.1 (SD=3.74). Good practices were shown by 55.3% with a mean score of 10.7 (SD=5). Among those who were aware majority belonged to higher educational level (p=0.048). A significant difference was observed between income and occupation with practices. A positive correlation was found between awareness and practices in dengue fever (r=0.511, p<0.001). Females (OR=2.5) and school level education (OR=3.4) were predictors of poor awareness while professionals and low income were predictors of poor practices (p<0.05).Conclusions: Better aware people were found to practice preventive measures. So, grass root level workers can provide health education among households focusing on behaviour change, regarding preventive measures. Appropriate use of information, education and communication through mass media and social network will be beneficial

Basic Minimal Dominating Functions of Quadratic Residue Cayley Graphs

Domination arises in the study of numerous facility location problems where the number of facilities is fixed and one attempt to minimize the number of facilities necessary so that everyone is serviced. This problem reduces to finding a minimum dominating set in the graph corresponding to this network. In this paper we study the minimal dominating functions and basic minimal dominating functions of quadratic residue Cayley graphs and results on these functions have been obtained.Keywords: Quadratic Residue Cayley Graph, Minimal Dominating Functions, Basic Minimal Dominating Function

Role of snow and glacier melt in controlling river hydrology in Liddar watershed (western Himalaya) under current and future climate

This is the publisher's version, also available electronically from http://onlinelibrary.wiley.com/doi/10.1029/2011WR011590/abstract.[1] Snowmelt and icemelt are believed to be important regulators of seasonal discharge of Himalayan rivers. To analyze the long term contribution of snowmelt and glacier/icemelt to river hydrology we apply a water budget model to simulate hydrology of the Liddar watershed in the western Himalaya, India for the 20th century (1901–2010) and future IPCC A1B climate change scenario. Long term (1901–2010) temperature and precipitation data in this region show a warming trend (0.08°C yr−1) and an increase in precipitation (0.28 mm yr−1), with a significant variability in seasonal trends. In particular, winter months have undergone the most warming, along with a decrease in precipitation rates; precipitation has increased throughout the spring. These trends have accelerated the melting and rapid disappearance of snow, causing a seasonal redistribution in the availability of water. Our model results show that about 60% of the annual runoff of the Liddar watershed is contributed from the snowmelt, while only 2% is contributed from glacier ice. The climate trend observed from the 1901 to 2010 time period and its impact on the availability of water will become significantly worse under the IPCC climate change scenarios. Our results suggest that there is a significant shift in the timing and quantity of water runoff in this region of the Himalayas due to snow distribution and melt. With greatly increased spring runoff and its reductions in summer potentially leading to reduced water availability for irrigation agriculture in summer

Determination of micro-scale plastic strain caused by orthogonal cutting

An electron beam lithography technique has been used to produce microgrids in order to measure local plastic strains, induced during an orthogonal cutting process, at the microscopic scale in the shear zone and under the machined surface. Microgrids with a 10 μm pitch and a line width less than 1 μm have been printed on the polished surface of an aluminium alloy AA 5182 to test the applicability of the technique in metal cutting operations. Orthogonal cutting tests were carried out at 40 mm/s. Results show that the distortion of the grids could successfully be used to compute plastic strains due to orthogonal cutting with higher accuracy compared to other techniques reported in the literature. Strain maps of the machined specimens have been produced and show high-strain gradients very close to the machined surface with local values reaching 2.2. High-resolution strain measurements carried out in the primary deformation zone also provide new insight into the material deformation during the chip formation process

Penaksir Rasio dan Penaksir Regresi yang Efisien untuk Rata-rata Populasi pada Sampling Acak Sederhana Menggunakan Deviasi Kuartil dan Koefisien Skewness

In this article the combination of ratio estimators and ratio-regression in simple random sampling using quartile deviation and coefficient of skewness are discussed, which is a review from the article Jeelani et.al. [International Journal of Modern Mathematical Sciences, 6(3): 174-183]. These estimators are biased estimators and their mean square errors are determined. Estimator with the smallest mean square error is the most efficient estimator. A numerical example is given at the end of discussion

Mobile Aerosol Measurement in the Eastern Mediterranean – A Utilization of Portable Instruments

Air pollution research and reports have been limited in the Middle East, especially in Jordan with respect to aerosol particle number concentrations. In this study, we utilized a simple "mobile setup" to measure, for the first time, the spatial variation of aerosol concentrations in Eastern Mediterranean. The mobile setup consisted of portable aerosol instruments to measure particle number concentrations (cut off sizes 0.01, 0.02, 0.3, 0.5, 1, 2.5, 5, and 10 mu m), particle mass concentrations (PM1, PM2.5, and PM10), and black carbon concentration all situated on the back seat of a sedan car. The car was driven with open windows to ensure sufficient cabin air ventilation for reliable outdoor aerosol sampling. Although the measurement campaign was two days long, but it provided preliminary information about aerosols concentrations over a large spatial scale that covered more than three quarters of Jordan. We should keep in mind that the presented concentrations reflect on road conditions. The submicron particle concentrations were the highest in the urban locations (e.g., Amman and Zarqa) and inside cities with heavy duty vehicles activities (e.g., Azraq). The highest micron particle concentrations were observed in the southern part of the country and in places close to the desert area (e.g., Wadi Rum and Wadi Araba). The average submicron concentration was 4.9 x 10(3)-120 x 10(3) cm-3 (5.7-86.7 mu g m(-3)) whereas the average micron particle concentration was 1-11 cm(-3) (8-150 mu g m(-3), assume rho(p) = 1 g cm(-3)). The main road passing through Jafr in the eastern part of Jordan exhibited submicron concentration as low as 800 cm(-3). The PM10 concentration consisted of about 40-75% as PM1. The black carbon (BC) concentration variation was in good agreement with the PM1 as well as the submicron particle number concentration.Peer reviewe

Eye-tracking experimental study investigating the influence factors of construction safety hazard recognition

Construction site accidents can be reduced if hazards leading to accidents are correctly and promptly detected by employees. Proactive safety measures such as safety perception and safety detection capability of employees play an important role in improving the safety performance. This study was initiated by three research questions related to (1) the measurement indicators of employees’ cognitive load in recognizing safety hazards; (2) site condition factors (e.g., brightness) that can affect subjects’ cognitive load; and (3) the quantification of the effects of these site factors on cognitive load. An eye-tracking experimental approach was adopted by recruiting a total of 55 students from construction management or other civil engineering disciplines to visually search hazards in 20 given site scenes. These site scenes were defined by a combination of three different categories, namely distinctiveness of hazards, site brightness, and tidiness. Quantitative measurements of experimental participants’ visual search patterns were obtained from data captured by the eye-tracking apparatus. Based on metrics related to experimental participants’ fixation, visual search track, and attention map, these measurements were computed to evaluate participants’ cognitive load in detecting hazards. Descriptive statistical comparisons analyzed these metrics under predefined categories of site conditions, i.e., distinctness versus obscurity/blurriness, brightness versus darkness, and tidiness versus messiness. The findings revealed that distinct site conditions reduced participants’ time in saccades to search hazards but did not improve the accuracy rate of first fixation; messy sites with disorganized items increased participants’ cognitive load in detecting hazards in terms of all five measurement items (i.e., accuracy rate of first fixation, fixation count, intersection coefficient, fixation duration, and fixation count in the attention center); the effect of increased brightness on-site needs further studies to determine the optimal balance of brightness level and allocation. Recommendations based on the findings were provided to enhance safety education in terms of site hazard distinctiveness, brightness, and housekeeping best practice. This study extended a few prior studies of adopting eye-tracking technology for safety monitoring by evaluating the impacts of site conditions on participants’ cognitive load, which was linked to their hazard detection performance. The study provided insights for evaluating construction employees’ hazard detection capabilities to enhance safety education. Future work is proposed to evaluate employees’ safety hazard detection pattern under dynamic construction scenarios