Dengue fatality prediction using data mining

Dengue fever, a mosquito-borne tropical disease caused by the dengue virus is life-threatening. In Malaysia, although necessary control measures have been carried out, the number of dengue fever cases keeps increasing. Among the measures, dengue vector control appears to be the most effective way to control the spread of the dengue virus particularly in Malaysia. The aim of this research is to study the current implementation of dengue outbreak control in Malaysia and predict dengue fever cases using data mining techniques. Real data on dengue fever and weather are collected from the Ministry of Health in its Perak Tengah district office and Perak Meteorological office respectively. Different data mining classification techniques are applied onto these data with the performance of each technique is measured. The results highlight the best performance among techniques used.Keywords: data mining; prediction; dengue; classification

Evaluation of electromagnetics radiation for stroke patients and non-stroke participants according to body segmentation

This research evaluates the electromagnetic radiation (EMR) for the stroke patients and non-stroke patients according to body segmentation. The human body is divided into three segments: top, middle and bottom. The frequency in hertz is collected at 23 points around the human body namely left side, right side and chakra points from 199 subjects undergoing post-stroke treatment and 100 non-stroke participants. The EMR is captured using frequency detector equipped with a dipole antenna. The data is collected by taking the reading of the frequency 5 times at each point at the same location; hence, the average value is calculated. The statistical analysis of the EMR are examined using SPSS software and Microsoft excel is used to calculate the average frequency of the data. In conclusion, the findings significantly shows that stroke patients has lower frequency value of EMR for both right side and left side but has higher frequency for chakra system. This is true for all the three segments of the body. Furthermore, it is also shown that there is no correlation between the left and the right side frequency for the stroke patients whereas the left-right correlation values are significantly high for the non-stroke participants. This observation justify that EMR from human body can contribute to early detection for stroke

Water Absorption And Tensile Properties Of Kenaf Bast Fiber- Plasticized Poly(Lactic Acid) Biocomposites.

Abstract - Increasing awareness on the environmental safety coupled with new rules and regulations has forced manufacturers to consider biodegradable materials for their products.The aim of this work was to investigate tensile properties and water absorption behavior of biocomposites from kenaf bast fiber and poly(lactic acid).The composites were prepared by Haake internal mixer and compression molding

Numerical simulation of concentration over-voltage in a polymer electrolyte fuel cell under low-hydrogen conditions

This article elucidates the effect of low hydrogen concentration fuel gas on polymer electrolyte fuel cell (PEFC) performance, with particular emphasis on the transport of chemical species in the anode separator channel and the electrochemical reactions. A numerical simulation model for PEFCs was developed; the model combined a computational fluid dynamics model for mass transfer in the anode separator and the gas diffusion layer(GDL)as well as a PEFC electrochemical reaction model takinginto account the activation, concentration, and resistance over-voltages. The emphasis in this study is placed on obtaining a basic understanding of how three-dimensional flow and low-hydrogen fuel transport phenomena in the anode separator channelimpactthe electrochemical processes occurring in PEFCs. Comparison of the numerical simulation results with experimental data indicates that the performance degradation in PEFCs is negligible for hydrogen concentrations over 30%, whereas it becomes significant for concentrations below 10%. Furthermore, the numerical simulationresults showthat controlling the fuel supply flow rate stimulates hydrogen transport inthe GDL and the catalyst layer, which consequently enhances PEFC performance under low-hydrogen conditions

Closing Green Gap in LEOs Technology: Chal lenges and Future Solutions

By 2020, demand would be strong in Malaysia lighting market, witnessing rapid growth residing in applications such as commercial/industrial lig hting. horticultural lighting and medical/health care ligh ting. Great progress on blue LE Ds based on 111-V nitrides has been acllteved . with their efficiency is more than 80%. Nonetheless, this is not the case for longer wavelength em ission LEDs . which covers visible energy spectrum from green to red . The ex ternal quantum efficiency (EQE) of those devices is reported to degrade significantly with increasing current. Suct1 problem 1s related to t1tgt1 droop efficiency and trlis phenomenon is known as 'Green gap' In principle . longer emtssion wavelength LEDs requires more indium composition in ln,Ga ,., N quantum wells . Nevertheless , growing ln,Ga ,_,N materials with high indium composition is diffi cult due to indium decomposition issue. which always leads to significa nt reduction of internal quantum efficiency (IOE) and subsequently EQE of the LEDs. To overcome this issue, several novel methods have been proposed in literature and will be discussed in the talk. Furtherm ore. major challenge to increase IQE/EOE of longer wavelength emission LEDs is quantumconfinement Stark effect (QCSE), which becomes more sign ificant 111 ln,Ga ,_,N materials with high indium composition. The effect reduces wavefunction of electrons and holes. resulting low internal radiative quantum effic ie ncy of LEOs. Growing longer emission waveleng h LEOs on semipolar and nonpolar GaN substra te is one of ways to eliminate the OCSE phenomena . but is this techn ique desirable from industrial practica l point of view? Towards th e end of the talk , future plan to develop longer emission wavelength LEDs at INOR. USM will be proposed . Discussion on design structure of th e LEDs, with substrate choice in order to suppress the droop efficiency of th e LEDs will be presente

Optimization of Post-Annealing NH3 Temperature for GaN Growth on GaAs (100) Substrate via Electron Beam Evaporator

In recent years, gallium nitride (GaN) films have been widely grown by molecular beam epitaxy (MBE) and metal organic chemical vapour deposition (MOCVD). However, both are expensive techniques and require high maintenance and operation. Therefore, a more simple and cost-effective technique like electron beam (e-beam) evaporator should be more explored for growing GaN layer. So far, only few groups have work on this technique. In this work, we aim at demonstrating growth of GaN films on gallium arsenide (GaAs) substrate by ebeam evaporator. Our initial observation found that the GaN films lack the N atom component. Thus, the samples were annealed in ammonia (NHJ) ambient, and the annealing temperature was varied at 650 oc, 700 oc, 800 oc, 850 °C, 900 °C, 950 °C and 980 °C. The effects of using different annealing temperature on the properties of the GaN films were investigated through field emission scanning electron microscopy (FE-SEM), atomic force microscopy (AFM). X-ray diffraction (XRD), photoluminescence (PL) and Raman spectroscopy. Towards the end, the optimum annealing temperature that promoted significant improvement to the GaN films is proposed

The predictive accuracy of PREDICT: A personalized decision-making tool for southeast Asian women with breast cancer

10.1097/MD.0000000000000593Medicine (United States)948e59

Experimental Investigation on Vegetative Oils under Accelerated Thermal Ageing against Their Dielectric Strength

Insulation is one of the most important parts in high voltage apparatus such as power transformer. Most power transformer use liquid insulation material, known as power transformer oil. Petroleum-based oil so called mineral oil has been used for many years as power transformer oil. This is due to its high dielectric field strength, low dielectric loses and good long-term performance. This research work has been carried out to investigate the effect of thermal accelerated ageing on electrical properties for several vegetative-based oils. The oil samples that have been used in this research work are soy bean-based oil (FR3) and commercial palm-based oil (PFAE). As comparison, Hyrax mineral oil has also been investigated. The results revealed that vegetative-based oils have as well as dielectric strength compared with mineral oil.  It was found that the dielectric strength for all oil samples decreased when undergo the thermal accelerated ageing process

Development of SIs on solid waste management through selection: A review

Along with the development of the nation, waste generation has been one of the critical issues that need immediate attention in a country. Effective and sustainable waste management system needs to be in place to carefully manage the waste generated, especially in the urban areas. Therefore, there is a need for the development of Sustainable Indicators (SIs), to continuously measure and monitor the sustainable performance of solid waste management system. This paper reviewed all the existing SIs that have been developed since the 1990s to monitor and measure the performance of solid waste management systems. The developed SIs are carried out through selection and aggregation processes. However, in this paper, only the development through selection is focused, where it usually adopts the Driving State-Force-State model. Although most developed SIs concentrated on the entire waste management system of an entire city, there are some SIs focused either on specific waste streams, or on specific waste management stages. Nevertheless, the developed SIs covered all the sustainability aspects of the waste management system, which are: Economy, social and environment