Learning knowledge management concepts via the use of a scenario building tool on an e-learning platform

Author name used in this publication: Teresa B. Y. LiewAuthor name used in this publication: Patrick S. W. FongAuthor name used in this publication: Adela LauRefereed conference paper2009-2010 > Academic research: refereed > Refereed conference paperAccepted ManuscriptPublishe

Curve fitting predication with artificial neural networks: A comparative analysis

Artificial neural networks (ANN) is considered one of the most efficient methods in processing Big Data, they have a great potential in economics and engineering applications. The aims of this paper is to discuss the best method for forecasting time series by comparing the results of ANN and Box and Jenkins methods (BJ) or ARMA models. As well as finding the best curve fitting and forecasting for linear or semi linear model. In this paper uses 3 error indicators to measure the efficiency of forecasting for the forecasting performance. The most important conclusion of this paper Proved that artificial neural networks are more effective than Box-Jenkins method or ARMA models in solving time series. The results also proved that artificial neural networks are significantly improving errors in the results and this is the ambition of all researchers

Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization

<p>Abstract</p> <p>Background</p> <p>The DNA microarray technology allows the measurement of expression levels of thousands of genes under tens/hundreds of different conditions. In microarray data, genes with similar functions usually co-express under certain conditions only <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. Thus, biclustering which clusters genes and conditions simultaneously is preferred over the traditional clustering technique in discovering these coherent genes. Various biclustering algorithms have been developed using different bicluster formulations. Unfortunately, many useful formulations result in NP-complete problems. In this article, we investigate an efficient method for identifying a popular type of biclusters called additive model. Furthermore, parallel coordinate (PC) plots are used for bicluster visualization and analysis.</p> <p>Results</p> <p>We develop a novel and efficient biclustering algorithm which can be regarded as a greedy version of an existing algorithm known as pCluster algorithm. By relaxing the constraint in homogeneity, the proposed algorithm has polynomial-time complexity in the worst case instead of exponential-time complexity as in the pCluster algorithm. Experiments on artificial datasets verify that our algorithm can identify both additive-related and multiplicative-related biclusters in the presence of overlap and noise. Biologically significant biclusters have been validated on the yeast cell-cycle expression dataset using Gene Ontology annotations. Comparative study shows that the proposed approach outperforms several existing biclustering algorithms. We also provide an interactive exploratory tool based on PC plot visualization for determining the parameters of our biclustering algorithm.</p> <p>Conclusion</p> <p>We have proposed a novel biclustering algorithm which works with PC plots for an interactive exploratory analysis of gene expression data. Experiments show that the biclustering algorithm is efficient and is capable of detecting co-regulated genes. The interactive analysis enables an optimum parameter determination in the biclustering algorithm so as to achieve the best result. In future, we will modify the proposed algorithm for other bicluster models such as the coherent evolution model.</p

Double embedded rings of a digit leading to amputation

Chronic embedded-ring injury is a rare and uncommon presentation. This is also known as "chronic ring erosion" or "embedded ring syndrome" in the literature. Injury of this type has been associated with psychological impairment causing neglect of such injury. We herein describe a case of double embedded rings on the right ring finger in a 30-year-old healthy construction worker. A primary amputation at the metacarpophalangeal joint was performed in view of the chronicity of his condition and associated neurovascular damage. Early removal of ring is of paramount importance in any ring-associated injuries. However, fear of losing a digit has been the reason of delay in seeking medical treatment, which in turn ended up in dire consequences

Estimating traffic change in accidental regional node failure for Asia pacific IP networks

Connectivity seems to be one of the significant features of today’s life. People rely on their technology in almost every aspect of their daily living. They also depend on this technology to be accessible anytime and anywhere. It is true that technology has touched every feature of today’s life. However, it is the networks that allowed this touch to reach almost everyone, regardless of who or where they are. Disasters stand for the oldest challenges that ever faced humanity. Since societies are extremely dependent on the technology, it is imperative to face the challenge in terms of technological communication systems. In this paper, the Accidental Disaster Network Impact Model is used to study the impact of a regional computer network failure triggered by an accidental disaster on the surviving network. The main aim is to study the percentage of change in traffic and lost traffic in node failure scenarios. This research estimates the change in traffic in cases of single node failure and double node failure. Also, it addresses the case of partial node failure in which only part of the communication ability is lost. The research also generates a simplified network map that represents the regional network of Asia Pacific

Relationships between water quality and dissolved metal concentrations in a tropical river under the impacts of land use, incorporating multiple linear regression (MLR)

The water quality and dissolved metal concentrations of the Baleh River were measured at 22 stations over four samplings, in March, June, September and December 2017. It is a tropical river under the influence of numerous land use activities including logging, constructions, plantations and settlements. The selected in-situ measured water quality parameters were temperature (Temp), pH, dissolved oxygen (DO), electrical conductivity (EC) and turbidity. The dissolved metals analyzed were aluminum (Al), iron (Fe), manganese (Mn), copper (Cu), zinc (Zn) and mercury (Hg). Multiple linear regression (MLR) was used to model the relationships between water quality and dissolved Al, Fe and Mn. Prominent Fe and Mn were detected with increasing turbidity, implying accelerated surface runoff. Elevated Cu was registered during dry season and a negative correlation was established with Zn. The loadings of Cu and Zn were potentially associated with the brake wear and tire wear, respectively. Temporal variability was identified with consistent correlations established between water quality and metal concentrations. The quadratic model is best fitted with the lowest root mean squares error (RMSE). It was found that the relationships between water quality and dissolved Al and Fe were not well represented with this dataset, because the elements were not detected in most of the samplings, except in September. The considerable zero-clustered data may bias the true correlation. It was found that the pH had a significant effect on the dissolution of Al, Fe and Mn, where Mn2+ was ascertained to dissolve in a greater range of pH than Fe2+

Scientific Workflows: Moving Across Paradigms

Modern scientific collaborations have opened up the opportunity to solve complex problems that require both multidisciplinary expertise and large-scale computational experiments. These experiments typically consist of a sequence of processing steps that need to be executed on selected computing platforms. Execution poses a challenge, however, due to (1) the complexity and diversity of applications, (2) the diversity of analysis goals, (3) the heterogeneity of computing platforms, and (4) the volume and distribution of data. A common strategy to make these in silico experiments more manageable is to model them as workflows and to use a workflow management system to organize their execution. This article looks at the overall challenge posed by a new order of scientific experiments and the systems they need to be run on, and examines how this challenge can be addressed by workflows and workflow management systems. It proposes a taxonomy of workflow management system (WMS) characteristics, including aspects previously overlooked. This frames a review of prevalent WMSs used by the scientific community, elucidates their evolution to handle the challenges arising with the emergence of the “fourth paradigm,” and identifies research needed to maintain progress in this area

Aetiologies of liver cirrhosis among adult patients attending a hepatology clinic at Selangor, Malaysia

Liver cirrhosis is an important cause of morbidity and mortality. Our study aimed to describe the aetiologies of liver cirrhosis and its associated risk factors among adult patients attending the Hepatology Clinic, Serdang Hospital, Malaysia from 1st January 2010 to 30th June 2017. Aetiology was determined by patients’ medical history as well as biochemical and/or histological findings. The severity of the liver cirrhosis, together with the presence of complications and incidence of hepatocellular carcinoma were documented. A total of 357 adult patients were diagnosed with liver cirrhosis including 199 male patients (55.7%) and 158 female patients (44.3%), with a mean age of 54-year-old (range: 28–84 –year-old). The determined most likely causes of liver cirrhosis were chronic hepatitis B (N=145, 40.6%), chronic hepatitis C (N= 67, 18.8%), cryptogenic liver disorder (N= 63, 17.6%), alcohol (N=42, 11.8%), non-alcoholic fatty liver disease (N=25, 7.0%), and others (N=15, 4.2%). Chronic hepatitis B was predominant among Chinese whereas alcohol consumption was mainly found among Indians, and Hepatitis C-linked liver cirrhosis was highest among Malays. Majority of the patients had compensated cirrhosis with Child-Pugh A (N=221, 61.9%) at the time of diagnosis. 80.4% (N=287) of the cirrhotic patients had performed at least one endoscopy surveillance, with 28.6% (82/287) of them had endoscopic evidence of portal hypertension. 32.2% of patients had at least one hospitalization due to complication of cirrhosis. 41 patients (11.5%) had concurrent hepatocellular carcinoma during the follow up. Hepatitis B viral infection remains the most common cause of cirrhosis among patients attending Hepatology Clinic, Serdang Hospital

MOOCs - Corporate Workplace Stress Management

The rift of workplace stress requires innovative rethinking to be addressed evocatively. Stress is a physiological response triggered by an external event that causes the individual to experience emotional, physical and cognitive symptoms. In2019, 94% of American worker’s reported sufferingstressat theirworkplace. Around 23% of them described theirstresslevels as high, while 6% said their levels ofstresswere extremely high. In Malaysia, a survey has signified thatMalaysianemployees are overworked,and sleep-deprived, with 51% travail from at least one dimension ofwork-relatedstressas well as 53% getting less than seven hours of sleep in 24 hours. For that reason, this project is aimed at establishing a Massive Open Online Courses (MOOCs)-Corporate Workplace Stress Management with the objective to succour individual or workers to reduce stress. This course is established in 6 modules; namely, (1) introduction to stress, (2) consequences of workplace stress, (3) introduction to stress management, (4) stress management in the workplace, (5) stress assessment tools, and (6) stress-free workplace. Upon completion of these modules, learners should be able to evaluate the workplace stress, practice personal and interpersonal stress management and suggestapproaches to creating a conducive working environment as part of stress reduction effort. They will be given certification to become a certified trainer to promote a life-long-learning by conducting online or face-to-face training. In the aspect of financial sustainability, value prepositions, and business model, these modules will be commercialized with minimum charges to cover the operation cost and MOOCs facilities. Notably, the modules received positive testimonials from MOOCs experts to foster deliberation of promising MOOCs-Corporate Workplace Stress Management movement and implementation