An improvement in support vector machine classification model using grey relational analysis for cancer diagnosis

To further improve the accuracy of classifier for cancer diagnosis, a hybrid model called GRA-SVM which comprises Support Vector Machine classifier and filter feature selection Grey Relational Analysis is proposed and tested against Wisconsin Breast Cancer Dataset (WBCD) and BUPA Disorder Dataset. The performance of GRA-SVM is compared to SVM’s in terms of accuracy, sensitivity, specificity and Area under Curve (AUC). The experimental results reveal that GRA-SVM improves the SVM accuracy of about 0.48 by using only two features for the WBCD dataset. For BUPA dataset, GRA-SVM improves the SVM accuracy of about 0.97 by using four features. Besides improving the accuracy performance, GRA-SVM also produces a ranking scheme that provides information about the priority of each feature. Therefore, based on the benefits gained, GRA-SVM is recommended as a new approach to obtain a better and more accurate result for cancer diagnosis

Ergogenic, anti-diabetic and antioxidant attributes of selected Malaysian herbs: characterisation of flavonoids and correlation of functional activities

In the present work, aqueous ethanolic (60% ethanol) extracts from selected Malaysian herbs including Murraya koenigii L. Spreng, Lawsonia inermis L., Cosmos caudatus Kunth, Piper betle L., and P. sarmentosum Roxb. were evaluated for their ergogenic, anti-diabetic and antioxidant potentials. Results showed that the analysed herbs had ergogenic property and were able to activate 5'AMP-activated protein kinase (AMPK) in a concentration dependant manner. The highest AMPK activation was exhibited by M. koenigii extract which showed no significant (p > 0.05) difference with green tea (positive control). For anti-diabetic potential, the highest α-glucosidase inhibition was exhibited by M. koenigii extract with IC50 of 43.35 ± 7.5 μg/mL, which was higher than acarbose (positive control). The determinations of free radical scavenging activity and total phenolics content (TPC) indicated that the analysed herbs had good antioxidant activity. However, C. caudatus extract showed superior antioxidant activity with IC50 against free radical and TPC of 21.12 ± 3.20 μg/mL and 221.61 ± 7.49 mg GAE/g, respectively. RP-HPLC analysis established the presence of flavonoids in the herbs wherein L. inermis contained the highest flavonoid (catechin, epicatechin, naringin and rutin) content (668.87 mg/kg of extract). Correlations between the analyses were conducted, and revealed incoherent trends. Overall, M. koenigii was noted to be the most potent herb for enhancement of AMPK activity and α-glucosidase inhibition but exhibited moderate antioxidant activity. These results revealed that the selected herbs could be potential sources of natural ergogenic and anti-diabetic/antioxidant agents due to their rich profile of phenolics. Further analysis in vivo should be carried out to further elucidate the mechanism of actions of these herbs as ergogenic aids and anti-diabetic/antioxidant agents

Modification of Thin Film Composite Nanofiltration Membrane using Silver Nanoparticles: Preparation, Characterization and Antibacterial Performance

This paper reports on preparation of polyamide membrane with addition of silver nanoparticles (AgNPs). AgNPs act as antibacterial agents that are less susceptible to membrane’s biofouling by interfacial polymerization (IP) method. AgNPs was synthesized via green route which has been reported previously. Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR), Field emission scanning electron microscopy (FESEM), contact angle measurement, and Energy dispersive X-ray spectrometer (EDX) were carried out to characterize the morphology of the prepared membrane samples. Inhibition zone of E. Coli bacteria was used to study the antibacterial behavior of the membranes. As a result, FTIR spectra clearly present the peak of primary amide, secondary amides, carboxyl group and etc. In addition, from the FESEM images, it could be seen that relatively regular and spherical shape AgNPs were formed. Contact angle results revealed that the PA membrane is more hydrophilic than that of the PES membrane. EDX spectra shows a peak that confirmed the presence of AgNPs on PA/Ag membrane. In antibacterial test, the PA membrane alone could not inhibit the growth of E.Coli. Membranes with 10 ml and 15 ml loading of AgNPs added to the M-Phenylenediamine (MPD) monomer for the IP process were not enough to kill the E.Coli bacteria. The addition of 20ml of AgNPs to MPD monomer however showed an interesting result as we can clearly observe the inhibition zone in the diameter of 1 mm around the circle of the membrane indicate that all bacteria were totally killed

Prediction of hardness in tia1n coating process using support vector machine

This paper reviewed on prediction of hardness performances for Titanium Aluminium Nitride (TiA1N) coating process. A new application in predicting the hardness performances of TiA1N coatings using a method called support vector machine (SVM) is investigated. TiA1N coatings are usually used in high-speed machining due to its excellent surface hardness and wear resistance. The TiA1N coatings were produced using Physical Vapour Deposition magnetron sputtering process. The coating process parameter will be selected as the input parameters and the hardness as an output of the process. There are several coating process parameters in TiA1N coating process but for this paper only three coating process parameter will be considered. A support vector machine model will be proposed to predict the coating hardness with respect to changes in input process parameters which are substrate sputtering power, bias voltage and temperature. In this paper, a literature survey concerning the prediction technique of TiA1N coating process is conducted in order to clarify their coating process and coating process parameters. The issues and trend in prediction of hardness performances for TiA1N coating process also discussed based on various perspectives

Dynamic metamodel approach for government enterprise architecture model management

Enterprise Architecture (EA) is widely adopted by many organisations to align their business and IT together to ensure the resources optimization is achieved. This recent EA development not only brings positive impacts to the business organisation but the government organisation as well. Nevertheless, during the implementation of EA, one of the challenges is to create a standardised and dynamic metamodel that able to integrate the government agencies business models. To date, it is still yet to find any dynamic metamodel that designed for this purpose. Therefore, this paper aims to propose an EA dynamic metamodel design based on complex cognitive activities (CCA) concept. This study starts with an investigation of EA metamodel concept and current practice through literature review and preliminary interviews, followed by the design on EA dynamic metamodel for government agencies with a selection of Malaysian education EA Reference as a pilot case study. As a result, a Dynamic EA Metamodel by using CCA concept is proposed by utilizing the four layers of dynamic design using cognitive action (physical, perceptual, functional, conceptual) and Archimate generic metamodel schema. This is a new contribution to EA Body of Knowledge (EABoK) and EA practice as it helps for better management of EA models especially for a large and complex organisation of the government sector. This model will allow the EA team in multiple organisations to design and develop their EA models according to their own business process but yet still following the EA metamodel set by the top EA office

Off-line partial discharge measurement and localization for a 33/6.9 kV in-service transformer

This paper presents an investigation on the off-line Partial Discharge (PD) and localization for 1 unit of in-service 5 MVA 33/6.9 kV oil immersed transformer. First, Dissolved Gas Analysis (DGA) was performed to confirm the existence of PD activities. Next, offline PD measurements were carried out on both LV and HV windings. Once the transformer has been energized, PD localization was performed at different sections of the transformer tank. It is found that HV windings are having possible multiples PD activities based on offline Phase-Resolved Partial Discharge (PRPD) pattern and PD localization

System for rogue voip phone detection and managing voip phone mobility

The quickly propelling Voice over Internet Protocol (VoIP) innovation, is picking up customer fascination in the business today. Its uses, including IP communication frameworks, includes the transmission of voice as information bundles which after achieving the getting side, reassembles and deciphers according to necessity. This encourages open just as private IP frameworks. The real drawback, keeping numerous organizations off from utilizing VoIP advances is related to the security of this framework. This paper examines a strategy and the following framework that get to arrange data for approved system gadgets. The entrance insights and data empower to follow gadget development all through the system. In addition, it offers to recognize unapproved gadgets making false endeavors to get to the system, presenting to be an approved access gadget

A Narrative Review of Nutritional Status Among Iraqi Adults with Type 2 Diabetes

Type 2 diabetes is a global public health problem especially in middle east countries and Iraq has not spared from this pandemic. The prevalence in Iraq. and rank in Middle East. Beside increasing in prevalence- also poor glucose control. Nutrition plays a critical role. This paper narratively review variables that affect  reduce the incidence of T2DM in Iraq and affect nutritional status among Iraqi withT2DM. The factors contribute  to T2DM were high rates of obesity and overweight, as well as levels of body fat indicate a high prevalence of poor glycemic control. Likewise, levels of physical activity are low among older Iraqis