Assessment of Urban Heat Island (UHI) using Remote Sensing and GIS

This study assesses the Urban Heat Island UHI effect and evaluates the impact of urban suburban areas in Lahore District on its land surface temperature using Remote Sensing and GIS techniques The satellite brightness temperature information derived from the medium resolution satellite LANDSAT 5 Thematic Mapper is analyzed and compared with the land use land cover types acquired by classifying the image The results reveal that urban heat island in Lahore District is significant with average Land surface temperature values ranging from 23 C to 44 C and maximum urban non-urban temperature difference reaching 5 C The high built-up area exhibits the maximum surface temperature ranges from 31 to 44 C compared to other land use types The relationship between thermal behavior and NDVI is also analyzed and negative correlation is identified by the results from the extracted surface temperature and NDVI from Landsat This suggests that vegetation is the primary determinant controlling the spatial distribution of land surface heat An effort to compare the population density and air pollution parameters with surface temperature is also made and the air pollution concentration is considered in relation with urban areas of high temperature and high population densit

Assessment of Urban Heat Island (UHI) using Remote Sensing and GIS

This study assesses the Urban Heat Island UHI effect and evaluates the impact of urban suburban areas in Lahore District on its land surface temperature using Remote Sensing and GIS techniques The satellite brightness temperature information derived from the medium resolution satellite LANDSAT 5 Thematic Mapper is analyzed and compared with the land use land cover types acquired by classifying the image The results reveal that urban heat island in Lahore District is significant with average Land surface temperature values ranging from 23 C to 44 C and maximum urban non-urban temperature difference reaching 5 C The high built-up area exhibits the maximum surface temperature ranges from 31 to 44 C compared to other land use types The relationship between thermal behavior and NDVI is also analyzed and negative correlation is identified by the results from the extracted surface temperature and NDVI from Landsat This suggests that vegetation is the primary determinant controlling the spatial distribution of land surface heat An effort to compare the population density and air pollution parameters with surface temperature is also made and the air pollution concentration is considered in relation with urban areas of high temperature and high population densit

Time taken to reach undetectable viral loads in therapy-naïve HIV patients commencing ART

Peer reviewedPublisher PD

EFFECT OF CROSS FIT EXERCISES ON WEIGHT LOSS OF MALES IN LAHORE

The purpose of this research was to explore the effect of Cross Fit, a latest fitness techniques being used all over the world to get a good physique and health, in reducing weight of male persons ranging from 18 to 25 years. A sample of 8 male students ranging age from 18 to 25 years to measure the change in variables like Body weight, %age Fat ratio, %age of Total Body Water contents, %age of Lean Muscle Mass after applying Cross Fit training program in pre and post analysis. After designing and applying a 28 days Cross Fit plan and diet plans for each individual according to their Basal Metabolic Rate (BMR) and Total Daily Energy Expenditure (TDEE), it was found that there is a positive significant change in these variables mentioned above which showed that Cross Fit training program d

EFFECT OF CROSS FIT EXERCISES ON WEIGHT LOSS OF MALES IN LAHORE

The purpose of this research was to explore the effect of Cross Fit, a latest fitness techniques being used all over the world to get a good physique and health, in reducing weight of male persons ranging from 18 to 25 years. A sample of 8 male students ranging age from 18 to 25 years to measure the change in variables like Body weight, %age Fat ratio, %age of Total Body Water contents, %age of Lean Muscle Mass after applying Cross Fit training program in pre and post analysis. After designing and applying a 28 days Cross Fit plan and diet plans for each individual according to their Basal Metabolic Rate (BMR) and Total Daily Energy Expenditure (TDEE), it was found that there is a positive significant change in these variables mentioned above which showed that Cross Fit training program d

A Dynamic Analysis of the Relationship among Human Development, Exports and Economic Growth in Pakistan.

This study investigates the econometrically empirical evidence of both the short-run and long-run interrelationships among human development, exports and economic growth in an ARDL framework for Pakistan. This study also examines causal linkages among the said variables by applying the Augmented Granger Causality test of Toda-Yamamoto (1995). By using data on Pakistan’s real GDP, real exports and Human Development Index (HDI) for the period 1970-71 to 2008-09, three models have been estimated. The results show cointegration between economic growth, physical capital, real exports and human development when human development is taken as dependent variables. Furthermore, unidirectional Granger causality running from real GDP to real exports has been found in Bivariate, Trivariate and Tetravariate causality framework. The inclusion of HDI as a measure of human development reduces the physical capital share in real GDP whereas it improves the robustness of the regression model. Real GDP seems to provide resources to improve human development in only the long-run while human capital accumulation does not seem to accelerate real GDP both in the short-run and the long-run. The empirical results of the study do not support ‘export-led growth hypothesis’ and human capital-based endogenous growth theory in case of Pakistan, however, it does support ‘growth-driven exports hypothesis’ in case of Pakistan. JEL classification: O11 Keywords: Human Development, Exports, Economic Growth, ARDL, Causalit

Architectural Design and Prototyping of Co-PPGIS: A Groupware-Based Online Synchronous Collaborative PPGIS to Support Municipality Development and Planning Management Workflows

Co-PPGIS has a wide variety of applications like municipal planning, emergency response, public health and security, etc. The main focus of this chapter is on the development and design of a Web Collaborative PPGIS (Co-PPGIS) infrastructure. As part of municipality’s planning and management services, Co-PPGIS is developed for real-time map sharing application system. Co-PPGIS is an effective and essential online meeting system for supporting group collaborations on geographic information such as maps and imageries, and capturing and sharing of local/domain knowledge in real time. Co-PPGIS permits amalgamation of geospatial data and collaborator’s input in the form of geo-referenced notations. It incorporates coherent components as map sharing, real-time chat, video conferencing, geo-referenced textual and graphical notations. The study aims to focus on public participation and geo-collaboration facilitated with information sharing, interactive geo-conferencing, real-time map, and data sharing with tools to draw features or add annotation to the map while discussions, uploading documents, and live communication. Co-PPGIS provides an efficient and reliable platform that will significantly reduce the time to acquire, process, and analyze data. The significance of this study is to contribute to existing public participation practices, to municipal planning, to decision-making, or to geographic information science

Prevalence of obesity in patients suffering from migraine

Background: Migraine is one of the most common primary headaches, accounting for significant morbidity in patients suffering from it. An association between obesity and migraine has been documented in the past, despite some studies pointing to the contrary. Author’s purpose is to calculate the prevalence of obesity in migraine patients in order to contribute to the existing concepts. A positive correlation could lead to the employment of weight loss interventions in the management of obese patients with migraine.Methods: In this cross-sectional study, 400 patients, recently diagnosed with migraine, attending the Neurology Outpatient Department at the Dr. Ruth KM Pfau Civil Hospital Karachi were enrolled after taking informed consent.  Migraine was diagnosed using International Classification of Headache Disorders III (ICHD III) criteria. Height (meters) and weight (kilograms) were measured and body mass index calculated. This data was kept confidential. The results were tabulated and analyzed using SPSS version 19.  Continuous quantitative data were analyzed using chi square test. A p Value of less than or equal to 0.05 was considered significant.Results: The mean age of enrolled participants was 30.69±6.96 years, 204(51%) were >30 years of age, 159(39.8%) were male and 241(60.3%) were female, mean height was 1.55±0.1 meters, mean weight was 56.26±12.98 kg, and mean duration of migraine was 5.04±2.02 weeks. The prevalence of obesity in patients with migraine was 108 (27%).Conclusions: It was concluded that the prevalence of obesity in patients with migraine was 27%

FPGA Hardware Implementation of DOA Estimation Algorithm Employing LU Decomposition

In this paper, authors present their work on field-programmable gate array (FPGA) hardware implementation of proposed direction of arrival estimation algorithms employing LU factorization. Both L and U matrices were considered in computing the angle estimates. Hardware implementation was done on a Virtex-5 FPGA and its experimental verification was performed using National Instruments PXI platform which provides hardware modules for data acquisition, RF down-conversion, digitization, etc. A uniform linear array consisting of four antenna elements was deployed at the receiver. LabVIEW FPGA modules with high throughput math functions were used for implementing the proposed algorithms. MATLAB simulations of the proposed algorithms were also performed to validate the efficacy of the proposed algorithms prior to hardware implementation of the same. Both MATLAB simulation and experimental verification establish the superiority of the proposed methods over existing methods reported in the literature, such as QR decomposition-based implementations. FPGA compilation results report low resource usage and faster computation time compared with the QR-based hardware implementation. Performance comparison in terms of estimation accuracy, percentage resource utilization, and processing time is also presented for different data and matrix sizes