In vivo antimalarial activity of the endophytic actinobacteria, Streptomyces SUK 10

Mohd Shukri Baba,Noraziah Mohamad Zin,Universiti Teknologi MARA,Jalifah Latip,Florence Pethick,Iain S. Hunter,RuAngelie Edrada-Ebel,Paul R. Herron 한국미생물학회 2015 The journal of microbiology Vol.53 No.12

Endophytic bacteria, such as Streptomyces, have the potential to act as a source for novel bioactive molecules with medicinal properties. The present study was aimed at assessing the antimalarial activity of crude extract isolated from various strains of actinobacteria living endophytically in some Malaysian medicinal plants. Using the four day suppression test method on male ICR strain mice, compounds produced from three strains of Streptomyces (SUK8, SUK10, and SUK27) were tested in vivo against Plasmodium berghei PZZ1/100 in an antimalarial screen using crude extracts at four different concentrations. One of these extracts, isolated from Streptomyces SUK10 obtained from the bark of Shorea ovalis tree, showed inhibition of the test organism and was further tested against P. berghei-infected mice for antimalarial activity at different concentrations. There was a positive relationship between the survival of the infected mouse group treated with 50 μg/kg body weight (bw) of ethyl acetate-SUK10 crude extract and the ability to inhibit the parasites growth. The parasite inhibition percentage for this group showed that 50% of the mice survived for more than 90 days after infection with the parasite. The nucleotide sequence and phylogenetic tree suggested that Streptomyces SUK10 may constitute a new species within the Streptomyces genus. As part of the drug discovery process, these promising finding may contribute to the medicinal and pharmaceutical field for malarial treatment.

Three-Phase Reference Current Generator Employing with Kalman Filter for Shunt Active Power Filter

Ahmad Shukri Abu Hasim,Zulkifilie Ibrahim,Md. Hairul Nizam Talib,Syed Mohd. Fairuz Syed Mohd 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

This paper presents a new technique of reference current generator based on Kalman filter (KF) estimator for three-phase shunt active power filter (APF). The stationary reference frame (d-q algorithm) is used to transform the load currents into DC component. The harmonics of load currents are extracted and the three-phase reference currents are generated using KF estimator. The work is simulated using Matlab/Simulink platform. To validate the simulation results, an experimental test-rig have been perform using real-time control dSPACE DS1104. In addition, hysteresis current control was used to generate the switching signal for the correction of the harmonics in the system. The nonlinear load were constructed with three-phase rectifier which connected in series with inductor and parallel with resistor and capacitor. The results shows that the new technique of shunt APF embedded with KF is proven to eliminate the harmonics created by the non-linear load with some improvement on the total harmonics distortion (THD).

A New Reliable Algorithm for Identifying Types of Partial Discharge Detected through Ultrasonic Emission

Mohammad Shukri Hapeez,Ngah Ramzi Hamzah,Habibah Hashim,Ahmad Farid Abidin 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.1

This paper presents a simple, consistent and reliable technique to identify detected partial discharges (PD) using an acoustic ultrasonic method. A new reliable algorithm named ‘Simple Partial Discharge Identifier’ (SPDI) is proposed to perform identification process of the detected ultrasonic signals of PD. Experimental works based on recommended practices were setup and the ultrasonic signals of the PD were recorded. The PD data is then employed as the reference data. The SPDI developed has been tested against commonly used models in Neural Network (NN). Results from the SPDI algorithm shows more reliable results compared to NN models results. Comparison made on the mean square error (MSE) results shows SPDI produces the desired outcome with lower MSE in 97.17% of trials. Low error of SPDI indicates a high reliability to be applied in the identification of PD.

Three-Phase Reference Current Generator Employing with Kalman Filter for Shunt Active Power Filter

Hasim, Ahmad Shukri Abu,Ibrahim, Zulkifilie,Talib, Md. Hairul Nizam,Dardin, Syed Mohd. Fairuz Syed Mohd. The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.1

This paper presents a new technique of reference current generator based on Kalman filter (KF) estimator for three-phase shunt active power filter (APF). The stationary reference frame (d-q algorithm) is used to transform the load currents into DC component. The harmonics of load currents are extracted and the three-phase reference currents are generated using KF estimator. The work is simulated using Matlab/Simulink platform. To validate the simulation results, an experimental test-rig have been perform using real-time control dSPACE DS1104. In addition, hysteresis current control was used to generate the switching signal for the correction of the harmonics in the system. The non-linear load were constructed with three-phase rectifier which connected in series with inductor and parallel with resistor and capacitor. The results shows that the new technique of shunt APF embedded with KF is proven to eliminate the harmonics created by the non-linear load with some improvement on the total harmonics distortion (THD).

Removal of naphthenic acids from high acidity Korean crude oil utilizing catalytic deacidification method

Nurasmat Mohd Shukri,Wan Azelee Wan Abu Bakar,Jafariah Jaafar,Zaiton Abdul Majid 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.28 No.-

Catalytic deacidification is a fascinating method to decrease the naphthenic acids (NAs) concentration ofhighly acidic petroleum crude because these acids caused serious corrosion in refinery equipment. Korean crude oil with a total acid number (TAN) of 8.32 mg KOH/g was used to test the performance ofcatalytic deacidification technology. A basic chemical with a dosing of 4% ammonia solution inpolyethylene glycol (NH3–PEG) was used as the acid removal agent with concentrations of 100, 500, and1000 mg/L. Cerium oxide, zinc oxide and tin oxide based catalysts supported onto alumina prepared withdifferent calcination temperatures and types of dopants were used to aid in the deacidification reaction. The potential catalyst was characterized by BET, EPR and CO2-TPD for its physicochemical properties. The results showed 93.3% reduction for Korean crude oil using Cu/Ce (10:90)/Al2O3 calcined at 1000 8C. This catalyst has the highest BET surface area of 87.12 m2/g with higher dispersion of Cu2+ species on theCeO surface detected using EPR spectra and higher total basic site measured using CO2-TPD. Theseproperties contributed to the excellent catalytic performance which remove the NAs in the Korean crudeoil and concurrently reduced the TAN value below than one.

A New Reliable Algorithm for Identifying Types of Partial Discharge Detected through Ultrasonic Emission

Hapeez, Mohammad Shukri,Hamzah, Ngah Ramzi,Hashim, Habibah,Abidin, Ahmad Farid The Korean Institute of Electrical Engineers 2014 Journal of Electrical Engineering & Technology Vol.9 No.1

This paper presents a simple, consistent and reliable technique to identify detected partial discharges (PD) using an acoustic ultrasonic method. A new reliable algorithm named 'Simple Partial Discharge Identifier' (SPDI) is proposed to perform identification process of the detected ultrasonic signals of PD. Experimental works based on recommended practices were setup and the ultrasonic signals of the PD were recorded. The PD data is then employed as the reference data. The SPDI developed has been tested against commonly used models in Neural Network (NN). Results from the SPDI algorithm shows more reliable results compared to NN models results. Comparison made on the mean square error (MSE) results shows SPDI produces the desired outcome with lower MSE in 97.17% of trials. Low error of SPDI indicates a high reliability to be applied in the identification of PD.

Application of Adaptive Neuro-Fuzzy Inference System for Road Accident Prediction

Mehdi Hosseinpour,Ahmad Shukri Yahaya,Seyed Mohammadreza Ghadiri,Joewono Prasetijo 대한토목학회 2013 KSCE JOURNAL OF CIVIL ENGINEERING Vol.17 No.7

Since the last two decades, several modeling approaches have been developed in road safety literature to establish the relationship between traffic accidents and road characteristics. However, to the best of the authors’ knowledge, no extensive research work has been published on application of Adaptive Neuro-fuzzy Inference System (ANFIS) on road accident modelling. Therefore, the present paper aims to develop an ANFIS technique for modelling traffic accidents as a function of road and roadside characteristics. To achieve the objective, accident data and road characteristics were collected over a two-year period along the Qazvin-Loshan intercity roadway in Iran. The candidate set of explanatory variables included the Mean Horizontal Curvature (MHC), Shoulder Width (SW), Road Width (RW), Land Use (LU), Access Points (AP), Longitudinal Grade (LG), and Horizontal Curve Density (HCD). The results showed that RW, SW, LU, and AP significantly affected accident frequencies. Using statistical performance indices, the ANFIS model was compared with the Poisson, negative binomial, and non-linear exponential regression models. Based on the comparative results, the proposed model had higher prediction performance than the other three traditional models which has been widely used in the literature. To conclude, the proposed model could be used as a robust approach to handle uncertainty and complexity existed in accident data. In general, ANFIS model can be an effective tool for transportation agencies since intervention decisions and plans aiming at improving road safety depend on the prediction capabilities of a system.

Characterization of Rhizophora SPP. particleboards with SOY protein isolate modified with NaOH/IA-PAE adhesive for use as phantom material at photon energies of 16.59-25.26 keV

Samson, Damilola Oluwafemi,Shukri, Ahmad,Mat Jafri, Mohd Zubir,Hashim, Rokiah,Sulaiman, Othman,Aziz, Mohd Zahri Abdul,Yusof, Mohd Fahmi Mohd Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.1

In this work, Rhizophora spp. particleboard phantoms were made using SPI-based adhesives, modified with sodium hydroxide and itaconic acid polyamidoamine-epichlorohydrin (0, 5, 10, and 15 wt%). An X-ray computed tomography (CT) imaging system was used to ascertain the CT numbers and density distribution profiles of the particleboards. The SPI-based/NaOH/IA-PAE/Rhizophora spp. particleboard phantoms with 15 wt% IA-PAE addition level had the highest solid content, flexural strength, flexural modulus, and internal bonding strength of 36.06 ± 1.08%, 18.61 ± 0.38 Nmm^-2, 7605.76 ± 0.89 Nmm^-2, and 0.463 ± 0.053 Nmm^-2, respectively. The moisture content, mass density, water absorption, and dimensional stability were 6.93 ± 0.27%, 0.962 ± 0.037 gcm^-3, 22.36 ± 2.47%, and 10.90 ± 0.86%, respectively. The results revealed that the mass attenuation coefficients and effective atomic number values within the 16.59-25.26 keV photon energy region, were close to the calculated XCOM values in water, with a p-value of 0.077. Moreover, the CT images showed that the dissimilarities in the discrepancy of the profile density decreased as the IA-PAE concentrations increased. Therefore, these results support the appropriateness of the SPI-based/NaOH/IA-PAE/Rhizophora spp. particleboard with 15 wt% IA-PAE adhesive as a suitable tissue-equivalent phantom material for medical health applications.

Auto-detection of Spectral Notches of Head-related Transfer Function using Wavelet Multi-resolution Analysis

Bahaa Al-Sheikh,Mohammad Shukri Salman,Alaa Eleyan 대한전자공학회 2021 IEIE Transactions on Smart Processing & Computing Vol.10 No.5

The spectral features of pressure characterized by the human outer ear, head, and torso are vital for sound localization in humans, especially for sound above 5 kHz. Many studies have shown that spectral notches contribute significantly as cues for this purpose. These spectral notches and their center frequencies depend on the shape and geometry of each individual, so their characteristics are different between individuals. We used wavelet multi-resolution analysis to automatically detect the center frequencies of spectral notches in head-related transfer functions (HRTFs). Auto-detection of these notches at certain locations for an individual helps in using suitable, complete, 3D HRTFs from HRTF datasets that have similar notch characteristics for an individual. Symlet and Daubechies wavelets were successfully used at different decomposition levels for this purpose. Symlet2 gives the best performance in terms of the auto-detection sensitivity.

Finite element analysis of proximal femur in sideways fall under quasi-static loading

Darmahssilan Subramaniam,Fauziah Mat,Mohd Shukry Abdul Majid,Khairul Salleh 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.7

Many researchers have investigated femur fractures using 3D models created with finite element (FE) software; however, these models need validation. Cadavers are used in experiments to validate the FE model. Nevertheless, there are several restrictions and obstacles to experimenting on the cadaver femur bone. The aim of this study was to investigate the effect of loading direction on the stress distribution and fracture risk of a proximal femur bone under quasi-static loading in a sideways fall condition. A validated 3D FE model of the proximal femur was developed by employing the results obtained from a quasi-static experimental test. Instead of cadaver, 3D-printed proximal femur bone was used. Various fall loading configurations were used to simulate a sideways fall with inclination angles from 0° to 20° and rotational angles from -15° to 15°. The highest von Mises stress is due to sideways falls distributed in the femur neck region. This study provides new information on FE model construction and medical FE analysis.