Effect of mixing period, water and sugar on the sesame cracker dough stickiness

Sesame Cracker or Kuih Bijan is a popular traditional Malays snack in Malaysia. The simplest formulation of Sesame Cracker dough includes glutinous rice flour, sugar, and water. In order to reduce the negative effect caused by dough stickiness, the effect of mixing period (3 to 7 minutes), water (41.6 to 45.6%) and sugar (1 to 9%) on dough stickiness of sesame cracker dough were studied using Texture Analyzer and Chen-Hoseney methodologies (i.e. Chen-Hoseney Dough Stickiness Cell). The result obtained showing that the increment of mixing time, water and sugar addition, increased the dough stickiness, work of adhesion/adhesiveness and dough strength/cohesiveness. However, overmixing of dough had led to the decrease of these parameters

Corpus-based analysis of mh17 online dutch news articles

This paper features the step-by-step corpus analysis of texts taken from an online English-based Dutch news portal as part of our corpus project on media representations of MH17 aviation disaster news discourse. The main objective of this paper is to look into the frequency and concordance analysis of the words used in real-world contexts of online news articles on aviation news. Firstly, we introduce the MH17 online Dutch News as a corpus used in the study and how the corpus is developed. Next, we report examples of findings on the text analysis of the corpus by focusing on the frequency of vocabulary lists used in the corpus, and the concordance analysis of the words 'Dutch' and 'Netherlands'. All examples are taken from MH17 online articles from Dutch News.nl. Hence, with the step-by-step guideline on how to conduct corpus analysis, this would be able to shed some light on new opportunities and perspectives in corpus linguistics research

A systematic review on bio-sequestration of carbon dioxide in bio-concrete systems: a future direction

The paper reviewed the current perspectives on the development of carbon diox�ide (CO2) sequestration through its process conversion into calcite. The process occurs in either geological or biological systems. However, geological sequestration is an expensive process, which is slow in comparison to bio-sequestration. Recently, the bio-sequestration of atmospheric CO2 into the soil using microorgan�isms such as algae has been investigated. However, the algae cannot be used in the bio-concrete due to their nature as phototrophic organisms. In contrast, bac�teria are the most potent organisms in bio-concrete technology. The use of bacter�ial species in the bio-aerated concrete bricks (B-ACB) and its potential to bio�sequestrate CO2 represents a future strategy to reduce high CO2 pollution. Bacterial cells can capture CO2 by accelerating the carbonation processes, which convert CO2 into calcium carbonate (CaCO3) via carbon anhydrase and urease enzymes. The present paper aimed to highlight and discuss the applicability of bacteria in the B-ACB for capturing and storing CO2. It is evident from the literature that the new trends to use bio-concrete might contribute to the reduction of CO2 by accelerating the carbonation process and strengthening the B-ACB

Escherichia coli growth modeling using neural network

The assessment of water microbial quality is normally performed by verification ofEscherichia coli where the growth is in nonlinearity. NARX is computational tools that haveextensive utilization in solving nonlinear time series problems. It is well known as one of thetechnique that has the ability to predict with efficient and good performance. Using NARX, ahighly accurate model was developed to predict the growth of Escherichia coli (E. coli) basedon pH water parameter. The multiparameter portable sensor and spectrophotometer data wereused to build and train the neural network. The selection of neural network structure for pHand optical density modelling was optimized and also the training and validation wereanalyzed. The result exhibited that NARX modelling was able to predict the growth of E. colibased on pH water parameter with overall regression is 0.99956.Keywords: neural network; NARX; prediction; Escherichia coli; pH; optical density

Faktor penggunaan e-pembelajaran di kalangan pelajar sarjana teknologi pendidikan Universiti Teknologi Malaysia

The purpose of this study is to study the frequency of e-Learning usage as well to study its usage factors. The research instrument being uses is a set of questionnaire containing three sections which are sample demographic, e-Learning usage frequency, and e-Learning usage factors. About 70 samples undergoing Educational Technology Educational Master Degree in Faculty of Education, Universiti Teknologi Malaysia, Johor Bahru had involved in this research. E-Learning usage factors are divided into four which are technology factor, exposure factor, content factor and social influence factor. The Alpha Cronbach’s value retrieved from the reliability test for the questionnaire instrument is 0.8806. Research finding shows the frequency of application usage in e-Learning at a moderate level which having the mean value of 2.49. Lastly, a number of recommendations has been put forward to the relating party for further action

INTEGRATING NETWORK CONCEPT INTO MULTI CRITERIA ANALYSIS FOR SUGGESTING BUS RAPID TRANSIT ROUTES

Abstract. Population explosion in the city of Johor Bahru has led to traffic congestions, which hitherto to that there were better movements and flow of vehicles in and around the city. Road transportation in particular has played a gargantuan role in creating and maintaining easy and quick access to various destinations. Increases in the number of vehicle indicate a higher economic prosperity that contributes to traffic congestion within the city. This can be seen in a number of developments such as increased population density and creation of alternative routes over several years, which has still not totally eradicated the traffic congestion problems of the city. Ideally, a good public transport service would carry the passenger directly from their origin to their destination without having to face traffic congestion. The buses may not be available and accessible from certain origins or destinations of residents or they may need to walk some distances from their residents to the bus stops resulting into discouragement for most of the people using public transport services. This paper aims to utilise geospatial analysis approach to suggest effective bus routing that would be able to increase connectivity to rural areas and boost commercial activities through better transportation. Route selection is the process of finding locations that meet the selection criteria for each parameter using Geographic Information System (GIS). The process employs applied multi-criteria decision analysis and network analysis to generate thpsye highest score areas for bus rapid transit (BRT) route by maximising network and mobility and ensuring the newly suggested routes are connected to the existing networks of BRT to serve the community. Document type: Articl

Effect of initial blank temperature in hot press forming towards 22MnB5 springback failure

The springback failure of ultra-high strength boron steel (22MnB5) in hot press forming (HPF) process was characterized under bending and membrane conditions. Hot press forming for U–shaped parts with ultra-high strength boron steel were experimented and simulated to study the effect of initial blank temperatures on springback failure in the automotive industry. The results specify the various preheated temperature of 22MnB5 blank effect toward springback occurrences with reference to hot press forming dies design. ANSYS Workbench was used to verify finite element (FE) simulations of the processes in order to consolidate the knowledge of springback. The validated numerical simulation model were used in analyzing the stress and strain distributions along the formed part in the FE models, it was found that the springback angle was related in averaging value throughout quenching, regardless of the forming conditions. Springback failure mainly caused dimension deviation in hot press form parts due to the impact of thermal restoring moments and quenching rate of hot press forming process

Fabrication Of TiOâ‚‚ Nanoflowers Powder with Various Concentration Of CTAB

Nanostructures titanium dioxide (TiOâ‚‚) such as nanoflowers and nanorods have contribute in many application. Among TiOâ‚‚ nanostructures, TiOâ‚‚ nanoflowers gives high surface area that contribute in good binding properties and reducing internal stress and increasing strength of the ceramics.This paper presents fabrication of TiOâ‚‚ nanoflowers powder to overcome the cracking problem in ceramic industry. In this study, fabricated rutile-phased TiOâ‚‚ nanoflower powder has been successfully synthesized by using hydrothermal method and the surface morphology, structural properties, and the composition of TiOâ‚‚ nanoflower powder also identified. The fabricated TiOâ‚‚ are characterized using Field Emission Scanning Electron Microscopy (FESEM) to observe the surface morphology of TiOâ‚‚, X-ray Dispersion (XRD) was used to determine the crystallite phase and EDX for element composition in fabricated TiOâ‚‚ powder. The synthesized TiOâ‚‚ powder was obtained from the reaction between deionized water (DI), hydrochloric acid (HCl), Titanium Butoxide (TBOT) and Cetyltrimethylammonium Bromide (CTAB). The hydrothermal temperature is 150  ÌŠC with fixed hydrothermal time of 10 hours. The parameters varied is the mass of surfactant used, CTAB. The hydrothermal method is proven suitable to fabricate semiconductor materials due to its advantages that parameters are easily modified and can be performed under closed system with low operational temperature. Increased amount of CTAB used make the gap between the nanorod become closer and stronger. The diffraction peaks of all sample hardly changed, but the intensity for each sample was enhanced as the mass of CTAB used increased. The structure also become well crystallined in rutile phase structure