Research ArticleOpen accessIn the abstractAntecedents of Employee Engagement in the Manufacturing SectorRajendran Muthuveloo, Ola Khalil Basbous, Teoh Ai Ping, Choi Sang LongThe purpose of this study is to find the antecedents that influence employee engagement, as the organizational performance deteriorated due to high turnover and related issues such as high absenteeism, low loyalty and productivity. This exploratory research was conducted among employee working in manufacturing sector to test the relationship between the antecedents comprising of employee communication, employee development, reward and … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 23 Oct 2013 · 7,538 accessesView PDFCite
Research ArticleOpen accessIn the abstractAttitude towards Community Building in Association of Southeast Asian Nations: A Public Opinion SurveyRavichandran Moorthy, Guido BennyProblem statement: The Association of Southeast Asian Nations (ASEAN) envisioned an integrated regional community by the year 2015, following the European Union model. However, unlike the European Community which was formed after years of discussion at different levels of society, institutions and government, ASEAN was rather quick to conceptualize this initiative, without seeking the feedbacks for the public. Consequently, ASEAN … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 14 Feb 2012 · 7,570 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling the Distribution of Rainfall Intensity using Hourly DataSalisu Dan'azumi, Supiah Shamsudin, Azmi ArisProblem statement: Design of storm water best management practices to control runoff and water pollution can be achieved if a prior knowledge of the distribution of rainfall characteristics is known. Rainfall intensity, particularly in tropical climate, plays a major role in the design of runoff conveyance and erosion control systems. This study is aimed to explore the statistical distribution of … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 9,001 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine Needle Aspiration Cytology Evaluation for Classifying Breast Cancer Using Artificial Neural NetworkNor Ashidi Mat Isa, Esugasini Subramaniam, Mohd Yusoff Mashor, Nor Hayati OthmanThirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus stain, uniformity of cell, fragility and number of cells in cluster) are evaluated their possibility to be used as input data for artificial neural network in order to classify the breast precancerous cases into four … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 7,152 accessesView PDFCite