Emerging Global Health Crisis of Our Times- Climate Change

The progress of the human race over the last 200 years is unprecedented in recent history. Rapid industrialization, urbanization, and consumerism have made lives easier for humankind. Still, these changes come at a very high price. We never anticipated that we will have to pay the price in the form of climate change and global warming. Our planet, the earth is getting warmer by 0.85 ̊centigrde annually for the last one hundred and seventy years. Hence, glaciers are melting faster than ever, water levels are rising, and cities are sinking, while greenhouse gas emission numbers are at their highest points in human history. Unfortunately we humans are living in anthropogenic epoch and are also speeding up the destruction of the earth's ecosystem by being the dominant cause of the warming observed since the 20th century. Deforestation coupled with increased greenhouse gas emissions has led to a surge of heat-waves globally. These environmental disasters not only affect the environment, plants, and land but also have a profound direct and indirect impact on the health of people. In-fact the health impact has already debuted in the form of worsening key health indicators. In Pakistan alone, the 2015 heat-wave claimed the lives of twelve hundred people in Sindh province. Due to variable rainfall patterns that affect the availability of fresh water, it also affects food production & delivery and brings on the drought. Quality of air, clean drinking water, and availability of food are the top three indicators most influenced by these disasters. Coupled with these, the more than the frequent occurrence of natural calamities; tsunamis, wildfires, snowstorms, and extremes of temperatures has put an extra financial burden on already, stretched to limits budgets of health

ENHANCEMENT OF MARKOV RANDOM FIELD MECHANISM TO ACHIEVE FAULT-TOLERANCE IN NANOSCALE CIRCUIT DESIGN

As the MOSFET dimensions scale down towards nanoscale level, the reliability of circuits based on these devices decreases. Hence, designing reliable systems using these nano-devices is becoming challenging. Therefore, a mechanism has to be devised that can make the nanoscale systems perform reliably using unreliable circuit components. The solution is fault-tolerant circuit design. Markov Random Field (MRF) is an effective approach that achieves fault-tolerance in integrated circuit design. The previous research on this technique suffers from limitations at the design, simulation and implementation levels. As improvements, the MRF fault-tolerance rules have been validated for a practical circuit example. The simulation framework is extended from thermal to a combination of thermal and random telegraph signal (RTS) noise sources to provide a more rigorous noise environment for the simulation of circuits build on nanoscale technologies. Moreover, an architecture-level improvement has been proposed in the design of previous MRF gates. The redesigned MRF is termed as Improved-MRF. The CMOS, MRF and Improved-MRF designs were simulated under application of highly noisy inputs. On the basis of simulations conducted for several test circuits, it is found that Improved-MRF circuits are 400 whereas MRF circuits are only 10 times more noise-tolerant than the CMOS alternatives. The number of transistors, on the other hand increased from a factor of 9 to 15 from MRF to Improved-MRF respectively (as compared to the CMOS). Therefore, in order to provide a trade-off between reliability and the area overhead required for obtaining a fault-tolerant circuit, a novel parameter called as ‘Reliable Area Index’ (RAI) is introduced in this research work. The value of RAI exceeds around 1.3 and 40 times for MRF and Improved-MRF respectively as compared to CMOS design which makes Improved- MRF to be still 30 times more efficient circuit design than MRF in terms of maintaining a suitable trade-off between reliability and area-consumption of the circuit

CONCEPTUAL VISION OF AIRPORT GEOGRAPHIC INFORMATION SYSTEM (AGIS)

GIS can providethe airport management staff with visual pavement information and powerful analysis tool. Mean while, the spatial information managed by GIS can ensure the accumulation of valid attribute data of airport pavement. Based on the principle and general implementation process of GIS and the characteristics of airport pavement management, this paper describes the implementation process of GIS in Iraqi Airport planning and design. To organize the spatial entities effectively, some layers are set according to the characteristics of spatial entities. The spatial database is established,and thenthe function design of the GIS software is presented including map exploring, map locating, spatial query, rendering style of map and output of map. In this paper the section on the ground was the case study, Representative the AGIS in building infrastructure layers of Baghdad international airport buildings and pavements. The results were two maps, the first include eleven layers and the other includes two layers, each layer hasinformation that describes the thickness of subsurface. In consequence of the above, comparative study for each type of pavement was made to find the most suitable pavement structure for Baghdad International Airport (BIAP)

Exports and Economic Growth

International Development, International Relations/Trade,

INEQUALITY IN WORLD GDP DISTRIBUTION

International Development,

INVESTMENT AND ECONOMIC GROWTH

We used unit root and cointegration techniques to determine the long run relationship between GDP and investment for 90 countries using data from World Bank for the period 1960-1992. In the first step of our analysis we found GDP and investment integrated of different orders for 33 countries. Second step of our analysis shows no cointegration between GDP and investment for 25 countries and cointegration for 25 countries with both variables of order I(1). The other 7 countries with both variables of order I(0) are in long run relation and do not need cointegration test. To determine the direction of causal effect between GDP and investment we used Granger causality test as the third step of our analysis. We found causality in the short run for 15 countries and in the long run for 23 countries. Bi-directional causality is found for 10, unidirectional causality from GDP to investment for 18 and from investment to GDP for 10 countries. The causality from GDP to investment is positive for 11 countries and from investment to GDP for 6 countries. Bi-directional causality is mostly positive between the two variables.International Development,