Moderating effect of asean free trade agreement between total quality management and business performance

The unprecedented pace of globalisation, trade liberalisation, and capital movement in the later years profoundly changed to pose serious challenges for Malaysian companies to compete in an open market. In today's highly competitive market, the demand for quality is important factor for companies to survive in the ever-expanding global marketplace. The concept of Total Quality Management (TQM) has been developed as a result of intense global competition. ASEAN trade liberalisation through the elimination of intraregional tariffs contributed to improving manufacturing in ASEAN countries to be more efficient and competitive in world markets. However, Asean Free Trade Agreement (AFTA) is a good news for foreign companies as they have competitive advantages, but not for local companies. The examining of AFTA as a moderator is less done in previous work. The purpose of this paper is to propose relationship between TQM practices and business performance with moderator effects of AFTA. The main contribution of this paper is to examine whether AFTA has the effect as a moderator. This proposed conceptual model will help the academicians and industry players to have better understanding on the effect of AFTA in TQM implementation in improving their business performance. The structural equation modeling (SEM) techniques are used to examine the relationships of the practices.©2014 the Authors. Published by Elsevier Ltd. Open Access under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY–NC–ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/fi=vertaisarvioitu|en=peerReviewed

A classification framework for drug relapse prediction

This paper proposes a framework for relapse prediction using Artificial Neural Networkalgorithms among drug addicts at Pusat Rawatan Inabah. The data collected will be miningthrough Artificial Neural Network algorithms to generate patterns and useful knowledge andthen automatically classifying the relapse possibility. This research collaborates with PusatRawatan Inabah, which is one of the rehabilitation centers that provide a specific treatment torehabilitate the drug addicts from addiction. We expect that among the classification datamining algorithms, Artificial Intelligence Neural Network (ANN) is one of the bestalgorithms to predict relapse among drug addicts. This may help the rehabilitation center topredict relapse individually and the prediction result is hoped to prevent drug addicts fromrelapse.Keywords: classification; artificial neural network; drug addiction; Inabah rehabilitation

Implementing Aproiri Algorithm for Predicting Result Analysis

University or Higher Learning Institution is a platform to train students in specific domain area that will become an asset for a country. One of the critical issues in University is to avoid dropout students. Educational Data Mining (EDM) is an emergent discipline in developing methods to explore the unique types of data from the educational context. One of the techniques applied in EDM is an Association Rules (AR) which is to find a pattern of one element influencing other element. In this paper, AR technique has been utilized to predict students’ results based on a group of the previous students results. Clustering method has been used to classify the specific subject category. Finally, a system known as Result Prediction System (REPS) has been developed to perform automatically the AR analysis on the academic data using PHP and MYSQL databases

Proposing a model on risk mitigation in IT governance

Risk mitigation is the core process in IT Governance. Due to the fact that application of IT Governance systems may sustain risks, organizations use risk mitigation to solve risks within IT systems and provide sufficient means to treat these risks.Risk mitigation is necessary to ensure a successful IT Governance implementation.The risk mitigation process comprises of risk identification, risk decision, risk treatment and risk monitoring.The aim of this paper is to present the new risk mitigation models’ components and metrics for measuring the risk in IT Governance

Experimental Studies on the Effect of Antenna Orientations to the Performance of OFDM-based System

Software-defined radio (SDR) is an emerging and promising high re-configurable platform for rapid prototyping inreal environment applications. It offers both flexibility and low cost to facilitate the development process of agile communication system, such as Orthogonal Frequency Division Multiplexing (OFDM). Other than modulation and transmission technique like OFDM, antenna orientations play a significant importance in wireless communication. The availabililty of SDR platform like USRP has enabled the empirical evaluation of antenna orientation to the system performance. The performance has been evaluated in terms of throughput and packet error rate. The findings show the antenna orientation affect the system performance significantly

Three-phase series resonant DC-DC boost converter with double LLC resonant tanks and variable frequency control

This paper proposes a three-phase inverter combined with two LLC resonant tanks series resonant DC-DC boost converter with variable frequency control. The three-phase inverter side of the proposed circuit is connected to identical two-level LLC tanks to ensure balanced resonant currents. The proposed converter requires less switching devices and transformers as compared to the conventional interleaved LLC resonant converter, which competitively offers higher efficiency and reduced size and cost. Furthermore, the proposed converter works above the resonant frequency to achieve zero voltage switching (ZVS) for the entire operating frequency range {(42.5kHz < }{f}{s}{ < 50kHz)} for all switches. Variable frequency controller is considered in order to obtain better stability for diverse loads. Therefore, the proposed converter will have the ability to respond to the load changes by varying the switching frequency to the value that fulfils the requirement. In order to verify the improvement of the proposed converter, the converter performance is compared to conventional interleaved LLC resonant converter. The theoretical outcomes are confirmed through simulation studies using MATLAB/SIMULINK and validated experimentally using a laboratory prototype. Selected results are presented to verify the effectiveness of the proposed converter

Loss of Kruppel-like factor 3 (KLF3/BKLF) leads to upregulation of the insulin-sensitizing factor adipolin (FAM132A/CTRP12/C1qdc2)

Krüppel-like factor 3 (KLF3) is a transcriptional regulator that we have shown to be involved in the regulation of adipogenesis in vitro. Here, we report that KLF3-null mice are lean and protected from diet-induced obesity and glucose intolerance. On a chow diet, plasma levels of leptin are decreased, and adiponectin is increased. Despite significant reductions in body weight and adiposity, wild-type and knockout animals show equivalent energy intake, expenditure, and excretion. To investigate the molecular events underlying these observations, we used microarray analysis to compare gene expression in Klf3(+/+) and Klf3(-/-) tissues. We found that mRNA expression of Fam132a, which encodes a newly identified insulin-sensitizing adipokine, adipolin, is significantly upregulated in the absence of KLF3. We confirmed that KLF3 binds the Fam132a promoter in vitro and in vivo and that this leads to repression of promoter activity. Further, plasma adipolin levels were significantly increased in Klf3(-/-) mice compared with wild-type littermates. Boosting levels of adipolin via targeting of KLF3 offers a novel potential therapeutic strategy for the treatment of insulin resistance

Development of Low Cost HF Antenna for Amplitude Observation at Equatorial Region

In this paper the development of low cost antenna for High Frequency (HF) has been proposed. The proposed antenna is designed to operate from 3 MHz until 30 MHz for space weather observation. The antenna consists of small loop with primary and secondary loop. The primary and secondary purpose for radiating element while a lumped element being placed in series with the secondary loop for frequency tuning. Circumference size is taken from the 1/10 or 10% of wavelength, with circumference of 2.14 M and diameter of 0.64 M and able to capture the frequency at 15.21 and 15.34 MHz respectively. 4nec2 software has been used to bear out the simulation results. The antennas prototype has been designed, constructed and measured. The return loss measurement of antenna is -30dB, at 14 MHz. An omni directional radiation pattern measurement has been carried out at 15 MHz for signal transmitting

Step by step procedures : degradation of polycyclic aromatic hydrocarbons in potable water using photo-Fenton oxidation process

Polycyclic aromatic hydrocarbons (PAHs) are carcinogenic compounds, composed of two or more fused benzene rings and abundantly found in mixed-use areas. Mixed-use areas consist of dense population, urbanization, industrial and agricultural activities. River pollution are common in mixed-use areas and 98% of Malaysia's fresh water supply originates from surface water. The biological degradation, adsorption and advanced oxidation process were documented as the available PAHs treatment for water. To date, the application of the photo-Fenton oxidation process has been reported for the treatment of PAHs from contaminated soil (review paper), landfill leachate, municipal solid waste leachate, sanitary landfill leachate, aniline wastewater, ammunition wastewater and saline aqueous solutions. As for potable water, the application of Fenton reagent was aided with photo treatment or electrolysis not focusing on PAHs removal. • The presented MethodsX was conducted for PAHs degradation analysis in potable water samples using photo-Fenton oxidation process. • The designed reactor for batch experiment is presented. • The batch experiment consists of parameters like concentration of 17 USEPA-PAHs in the prepared aqueous solution (fixed variable), reaction time, pH and molarity ratio of hydrogen peroxide (H2O2): ferrous sulfate (FeSO4)