In the past decade, academic world established a variety of fragile states index systems. They were generally based on the evaluation of society, environment, economy and government. Given that climate change has far-reaching impact for the quality of humankind and the development of a country, we have reasons to believe that climate change may have increased fragility of a country. We used analytic hierarchy process and established fuzzy synthetic evaluation models to identify when a sate is fragile, vulnerable, or stable. And we used the gray correlation method to analyze the correlation between climate change and each evaluation indicators. Then, we combined with Yemen's specific situation; we found that climate change makes its more fragile through the impact to food production, water supply, natural disasters and other evaluation indicators. We also demonstrated that Yemen will not become so vulnerable without these adverse weather effects.

Big data can be defined as high volume, high velocity and high variety of data that require high performance processing. Predictive modelling is a process of creating a model to predict the future behavior from the data. A predictive model is made up of predictors which are factors that influence future results. A Proposed prediction model is identifies best prediction algorithm by evaluating the performance of an algorithm. The model contains preprocessing module and predicting module which trailed by performance evaluation to find best prediction algorithm. The preprocessing module emphasizes flow of preprocessing methods. The prediction module combines various efficient algorithms to prediction, amid them the best prediction algorithm can be identified by performance evaluation measurement.

This design applies a STC89C52RC single chip microcomputer (SCM) as a main control chip, and uses the information of road surface transmitted from sensing modules like cameras, infrared sensors and ultrasonic sensors to monitor and identify obstacles and adjust the driving directions of an intelligent car, thereby realizing the functions of velocity measurement and obstacle avoidance. The preliminary experiment of exploring the intelligent car shows that this designing scheme is valuable to refer and apply to some extent.

To model the milling process, you need an accurate model of the cutting tool. The article presents a methodology developed for designing a part with replaceable "end milling cutter" plates in a three-dimensional configuration. The model of a "face milling cutter" type with carbide inserts includes a large number of variables, such as diameter, number of teeth, their clearance angles, and the like. Therefore, the geometry of such a cutting tool is chosen on the basis of similar details studies. The proposed model was developed using the CAD system of SolidWorks. The cutting insert deformation of the milling cutter in the SolidWorks Simulation module is analyzed, as a result of the calculated cutting force acting on it, it is determined that the cutting inserts meet the accuracy requirements for surface treatment of grade 2-4.

Low Noise Amplifier (LNA) is generally the first stage in microwave communication system. The quality factor of the receiver is greatly determined by the performance of LNA. Design of a low noise amplifier (LNA) is a very critical as it amplifies the received signal and contributes most of the noise figure of whole receiver. LNA is an integral component of RF receiver and it performs various functions i.e. amplification, noise reduction, Noise Figure reduction, better stabilization and noise immunization. However, design of a LNA requires the tradeoff of many important parameters including gain, Noise Figure (NF), stability, power consumption, cost and design complexity. In this paper, we have designed and optimize the performance of a single stage stable LNA through an optimization algorithm. Our optimized single stage LNA circuit provides a gain of 11.78 dB and noise figure of 1.86 dB. These are the most important design parameter of a LNA. In this design, a microwave BJT numbered AT3103 from Avago technologies was used. The simulation and performance optimization was carried out in Agilent design package Advance Design Systems (ADS). This LNA operates at center frequency of 2 GHZ and it can be used in L-Band satellite applications.

The Ritz method was used in this paper for the flexural analysis of a statically indeterminate Euler – Bernoulli beam with a prismatic cross section. The beam considered was a propped cantilever of length, l, fixed at x = 0, and simply supported at x = l; and carrying a linearly distributed transverse load on the longitudinal axis. Two cases of coordinate (basis) functions were studied. In the first case, the basis functions were constructed to satisfy the deflection boundary conditions, but not the force boundary conditions. In the second case, the basis functions were constructed to satisfy all the boundary conditions. It was found that the stiffness equations formed with the basis functions that satisfied all the boundary conditions gave the exact solutions for deflection, bending moments and shear force distributions along the beam’s longitudinal axis. The effectiveness of the Ritz method for solving statically indeterminate Euler Bernoulli beam flexure problems was thus highlighted.

Metrics are an important technique in quantifying desirable software and software development characteristics of aspect oriented software development (AOSD). Theoretical and empirical validation of metrics and of their relation to software attributes is a cumbersome and long process. It is of paramount importance that we validate the utility of metrics we use in order to enable others to use them, too. Aspect oriented programming is an efficient approach to improve the software program at the time of software maintenance for modularizing crosscutting concerns. However, in order to take the advantages of AOP, there is a need for supporting the systematic refactoring of crosscutting concerns to aspects. This paper presents a new cognitive complexity metric namely Cognitive Weighted Number of Children for measuring coupling in Aspect Oriented Software.

Indonesia's chemical industry is faced with the challenge of increasing its supply chain competitiveness, while the chemical industry in Indonesia generally still does not have a holistic performance measurement system in its supply chain. The objective of this research is to develop the framework of supply chain performance measurement of the chemical industry using SCOR and DMAIC models. The research stages are the selection of chemical industry supply chain indicators, benchmarking of indicators, development of the framework for supply chain performance measurement for Indonesia’s chemical industry, and the improvement of the supply chain performance. The implementation was carried out at the cases in the market leader company which produces textile dyes product in Indonesia. The result of expert consensus recommends 28 indicators of the industrial chemical supply chain. The best in class for each supply chain performance indicator become the performance target on the performance measurement framework which is developed. The results of measuring the performance of the chemical industry supply chain in the textile dyes product showed good performance at flexibility aspect, medium at cost, reliability, and asset management cost aspect, and low at responsiveness aspect. There were three critical to quality (CTQ) for responsiveness aspects; these are demand analysis, raw material issue, and breakdown machine. The recommended improvements are to provide training on demand analysis, to improve communication with the regional party, to provide alternative vendors, raw material scheduling, procurement of buffer stock for raw material critical, and scheduling preventive maintenance.

Discrete Z transform is used to solve difference equations in pharmacokinetics for constant dosage with fixed time intervals. Difference equation for half dosage and fractional dosage are analyzed. Clinical application is proposed.

Combining with the actual conditions of Venezuela, we apply fuzzy synthetic evaluation models based on analytic hierarchy process to calculate the tipping point that makes the country fragile. Then, we establish a gray forecasting model and predict that the climate change will push the country to more fragile by indirectly affecting food production, water supply, natural disasters and economy in 3 years. Finally, we have reason to believe that the government can effectively mitigate the impact of climate change on the state fragility through some human intervention.

More than 2 billion people in the world today suffer from micronutrient deficiencies caused largely by a dietary efficiency of vitamins and minerals. The public health importance of these deficiencies lies upon their magnitude and their health consequences, especially in pregnant women and young children, as they affect fetal and child growth, cognitive development and resistance to infection. Although people in all population groups in all regions of the world may be affected, the most widespread and severe problems are usually found amongst resource poor, food insecure and vulnerable households in developing country. Some efforts that have been done to solve the problem such as micronutrient fortification in rice, because it is the staple food consumed by more than 90% Indonesia’s population. The objectives of this research were determined and evaluated the stability of micronutrient level during rice fortification and cooking. The results showed that micronutrients decreased during rice fortification and cooking. The raw-fortified rice contained 38.52 - 59.91mg/L of iodine, 0.92-1.79mg/L of vitamin A and15.64 - 48.39 mg/L of iron depending on the concentration of the coating material used. After cooking, the fortified rice contained 3.00- 3.93mg/L of iodine,0.43 - 1.0 mg/L of vitamin A and 12.92-19.66 mg/lof iron. The levels of micronutrients, although experienced significant losses, still meet the daily needs according to the Regulation of World Health Organization.

This investigation was carried out to study the effect ferritic-martensitic constituent on mechanical property and corrosion behaviour of medium carbon DP steel. Several stages of heat treatment were applied on the as-received medium carbon steel which composed of lamellarizing, quenching and tempering process. Asreceived medium carbon steel was assigned as a reference sample for comparison analysis. Mechanical property was evaluated using Vickers hardness to examine the effect of changing the ferritic-martensitic constituent of the medium carbon steel. Besides, the effect of this constituent on the corrosive behaviour of the medium carbon DP steel was investigated using 1 M hydrochloric acid solution.

Buildings in hot countries experience significant amount of heat gain through windows and this affects the thermal comfort of buildings' occupants. The proposed glazing is specially designed to reduce the electricity consumption for lighting and cooling. The optical properties of the glazing have been optimized by using rigorous coupled-wave analysis method. The glazing consists of ITO and four periodic pairs of Si/SiO2, deposited on a glass sheet. The fabrication of the glazing and the testing has been performed at the laboratories of the Faculty of Science, University of Witwatersrand, South Africa. Magnetron sputtering technique has been used for the fabrication. The optimum thicknesses of ITO, Si and SiO2, obtained from the simulation and the experimental work, are 0.1 μm, 0.15 and o.4 μm, respectively. The glazing transmits 70-80% of the visible light and reflects almost all the infrared radiation.