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Kampung Baharu Nilai, Malaysia

Kuswandi B.,University of Jember | Putri F.K.,University of Jember | Gani A.A.,University of Jember | Ahmad M.,USIM
Journal of Food Science and Technology | Year: 2015

The use of chemometrics to analyse infrared spectra to predict pork adulteration in the beef jerky (dendeng) was explored. In the first step, the analysis of pork in the beef jerky formulation was conducted by blending the beef jerky with pork at 5–80 % levels. Then, they were powdered and classified into training set and test set. The second step, the spectra of the two sets was recorded by Fourier Transform Infrared (FTIR) spectroscopy using atenuated total reflection (ATR) cell on the basis of spectral data at frequency region 4000–700 cm−1. The spectra was categorised into four data sets, i.e. (a) spectra in the whole region as data set 1; (b) spectra in the fingerprint region (1500–600 cm−1) as data set 2; (c) spectra in the whole region with treatment as data set 3; and (d) spectra in the fingerprint region with treatment as data set 4. The third step, the chemometric analysis were employed using three class-modelling techniques (i.e. LDA, SIMCA, and SVM) toward the data sets. Finally, the best result of the models towards the data sets on the adulteration analysis of the samples were selected and the best model was compared with the ELISA method. From the chemometric results, the LDA model on the data set 1 was found to be the best model, since it could classify and predict 100 % accuracy of the sample tested. The LDA model was applied toward the real samples of the beef jerky marketed in Jember, and the results showed that the LDA model developed was in good agreement with the ELISA method. © 2015, Association of Food Scientists & Technologists (India). Source


Ismail W.,USIM | Jali Z.,USIM | Anuar K.,USIM | Nordin J.,UKM
Journal of Theoretical and Applied Information Technology | Year: 2015

In this paper, classification of brainwave using real world data from Parkinson’s patients is presented. Emotional model is produced from the classification of brainwave. Electroencephalograph (EEG) signal is recorded on eleven Parkinson’s patients. This paper aim to find the “best” classification for the emotional model in brainwave patterns for the Parkinson’s disease. The work performed based on the two method phases which are using the raw data and pre- processing data. In each of the method, we performed for steps in the sum of the hertz and divided by total hertz. In the pre-processing data we are using statistic mean and standard deviation. We used WEKA Application for the classification with 11 fold validation. As a results, implecart from the classification tree performed the “best” classification for the emotional model for Parkinson Patients. The Simplecart classification result is 84.42% accuracy. © 2005 - 2015 JATIT & LLS. All rights reserved. Source


Alauddin H.,National University of Malaysia | Mohamad Nasir S.,Hospital Shah Alam | Ahadon M.,University Malaysia Sarawak | Raja Sabudin R.Z.A.,National University of Malaysia | And 7 more authors.
Malaysian Journal of Pathology | Year: 2015

Haemoglobin (Hb) Lepore is a variant Hb consisting of two α-globin and two δβ-globin chains. In a heterozygote, it is associated with clinical findings of thalassaemia minor, but interactions with other haemoglobinopathies can lead to various clinical phenotypes and pose diagnostic challenges. We reported a pair of siblings from a Malay family, who presented with pallor and hepatosplenomegaly at the ages of 21 months and 14 months old. The red cell indices and peripheral blood smears of both patients showed features of thalassaemia intermedia. Other laboratory investigations of the patients showed conflicting results. However, laboratory investigation results of the parents had led to a presumptive diagnosis of compound heterozygote Hb Lepore/β-thalassaemia and co-inheritance α+-thalassaemia (-α3.7). Hb Lepore has rarely been detected in Southeast Asian countries, particularly in Malaysia. These two cases highlight the importance of family studies for accurate diagnosis, hence appropriate clinical management and genetic counseling. © 2015, Malaysian Society of Pathologists. All rights Reserved. Source


Elgembari E.S.,USIM | Seman K.B.,USIM
International Review on Computers and Software | Year: 2013

Mobile WiMAX is a wireless networking system based on the IEEE 802.16e standard. Currently, mobile WiMAX has a long handover delay that contributes to the overall end-to-end communication delay. Since the data transmission should be paused during the hard handover process, it causes handover delay in mobile communication. The handover delay makes severe degradation in system performance when implemented in real-time applications such as IPTV and VoIP. However, serving a large number of Mobile Stations (MS) in practice requires an efficient handover scheme which guarantees lower level of the handover delay, particularly within the mobility in the coverage area. Many factors are affecting the performance of the handover delay. In this paper, the study has been done on location management area based multimedia and multicast/broadcast handover and the modifying different velocity levels of Mobile WiMAX, by comparing the number of Cells and the size in the location area have shown how all these parameters within the simulation logarithm can affect the handover delay. © 2013 Praise Worthy Prize S.r.l. - All rights reserved. Source


Azma R.Z.,USIM | Ainoon O.,USIM | Hafiza A.,USIM | Azlin I.,USIM | And 3 more authors.
Malaysian Journal of Pathology | Year: 2014

Alpha (α) thalassaemia is the most common inherited disorder in Malaysia. The clinical severity is dependant on the number of α genes involved. Full blood count (FBC) and haemoglobin (Hb) analysis using either gel electrophoresis, high performance liquid chromatography (HPLC) or capillary zone electrophoresis (CE) are unable to detect definitively alpha thalassaemia carriers. Definitive diagnosis of α-thalassaemias requires molecular analysis and methods of detecting both common deletional and non-deletional molecular abnormailities are easily performed in any laboratory involved in molecular diagnostics. We carried out a retrospective analysis of 1623 cases referred to our laboratory in Universiti Kebangsaan Malaysia Medical Centre (UKMMC) for the diagnosis of α-thalassaemia during the period October 2001 to December 2012. We examined the frequency of different types of alpha gene abnormalities and their haematologic features. Molecular diagnosis was made using a combination of multiplex polymerase reaction (PCR) and real time PCR to detect deletional and non-deletional alpha genes relevant to southeast Asian population. Genetic analysis confirmed the diagnosis of α-thalassaemias in 736 cases. Majority of the cases were Chinese (53.1%) followed by Malays (44.2%), and Indians (2.7%). The most common gene abnormality was αα/--SEA (64.0%) followed by αα /- α 3.7 (19.8%), - α 3.7/--SEA (6.9%), αα/αα CS (3.0%), --SEA/--SEA (1.2%), - α 3.7/- α 3.7 (1.1%), αα/-α4.2 (0.7%), -α 4.2/--SEA (0.7%), -α3.7/-α 4.2 (0.5%), αα CS/-- SEA (0.4%), αα CS/ααCd59 (0.4%), ααCS/αα CS (0.4%), -α3.7/αα Cd59 (0.3%), αα/ααCd59 (0.1%), αα Cd59/ ααIVS I-1 (0.1%), -α3.7/ααCS (0.1%) and --SEA /αα Cd59 (0.1%). This data indicates that the molecular abnormalities of α-thalassaemia in the Malaysian population is heterogenous. Although α-gene deletion is the most common cause, non-deletional α-gene abnormalities are not uncommon and at least 3 different mutations exist. Establishment of rapid and easy molecular techniques is important for definitive diagnosis of alpha thalassaemia, an important prerequisite for genetic counselling to prevent its deleterious complications. Source

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