35 research outputs found
Prevalence and associated risk factors of Entamoeba histolytica, E. dispar and E. moshkovskii infection among Orang Asli communities in Slim River, Perak
No full textwhile gastrointestinal symptom such as vomiting was associated with E. dispar infection. In conclusion, the study reveals there is still an occurrence of Entamoeba spp. among Orang Asli communities in Slim River, Perak. This implies that good personal and hygiene practices should be enhanced through awareness strategy to control Entamoeba infections in Orang Asli communities in Malaysia
Recombinant Pyruvate Phosphate Dikinase (rPPDK): Development Of Antibody And Antigen Rapid Dipstick Tests For Amoebiasis And Identification Of Potential Anti-Amoebic Compounds
No full textAmebiasis, sejenis penyakit protozoa enterik yang disebabkan oleh Entamoeba histolytica, merupakan satu masalah kesihatan awam di kebanyakan negara membangun
Amoebiasis, an enteric protozoan disease caused by Entamoeba histolytica, is a public health problem in many developing countrie
Cloning and Expression of the Nucleocapsid Protein of Newcastle Disease Virus in Pichia Pastoris (Guillierm.) Phaff
No full textNewcastle disease virus (NDV) is the only member of the genus Avulavirus of the family Paramyxoviridae. NDV causes a respiratory disease in birds known as Newcastle disease (ND) which may result in high mortality in susceptible hosts such as chickens leading to substantial loss in the poultry industry. Recent outbreak has been reported in many countries including Malaysia. The continuing treat of ND to
the poultry industry requires routine testing through development of better diagnostic tools. Therefore, the objective of the current study was to express the immunogenic nucleocapsid (NP) gene in a Pichia pastoris expression system with a view to develop a potential and cost effective antigen for development of a diagnostic test.
In the present study, the gene encoding NP protein of Newcastle disease virus strain AF2240 was cloned into expression vector, pPICZA and placed under the control of
methanol inducible alcohol oxidase (AOX) promoter. Then recombinant multi-copy number Pichia cells with Mut+ phenotype were selected for NP protein expression. The optimization of the NP protein production in 50 ml culture was carried out for methanol concentration and different loaded volume in identical shake flask. A time course study for NP production in 250-ml flask with the optimized conditions was performed as well. The result showed that NP protein could be detected after 12 h of methanol induction and the level of protein expression decreased over time. The
recombinant NP was purified from the yeast culture using sucrose gradient ultracentrifugation. The high level and intact recombinant nucleocapsid protein expression (570 mg/l) was obtained after 24 h of induction with 1% methanol when 10% of the shake flask was loaded with MMH (minimal methanol with histidine) medium. Western blot analysis using polyclonal NP antibody confirmed the expression of NP with the molecular weight of 53 kDa indicating that NP protein retained its antigenicity. The recombinant NP protein was highly stable in P. pastoris system because there was no degraded product after purification. This result proved that the yeast expression system produces a high yield of recombinant NP protein. The production of recombinant NP protein in bulk as the antigen for diagnostic tools would facilitate the monitoring of NDV infection as well as allowing a more effective control of the disease
Development of six degree of freedom SCARA robot / Syazwan Ab Rahim Halimi
No full textSCARA Robot is one of the types of robot that exist today. The SCARA acronym stands for Selective Compliant Assembly Robot Arm or Selective Compliant Articulated Robot Arm. By virtue of the SCARA's parallel-axis joint layout, the arm is slightly compliant in the 'X-Y' direction but rigid in the 'Z' direction. Regarding this project, the author has designed the actuators, also known as servo motors for the SCARA robot that has been initially designed by students from the previous year. The strength of the SCARA robot has been determined analytically using Finite Element Analysis via CATIA. The actuators are designed not just to move the SCARA arms in the appropriate order but to determine the most efficient cost that should be spent on them. The process of designing the actuators involved the calculations of inertia, voltage, current, speed, torque and etc. Most of the calculations are based on calculations provided by Maxon Motor Company; a company that has been so tremendous in robotics and plays a major part in supplying this project. However, the results from the machine-human interface provided by Maxon depend on manual calculations of equation of motion. Every aspect must be considered so that the actuators, which going to be selected at the end of the research shall work as expected and the programming process may run smoothly. In term of control system, transfer functions that relate the torque constant, rotor inductance and terminal resistance are produced. These transfer functions are manipulated in order to obtain stability for each actuator respectively. The study on the stability is then conducted using Simulink of MATLAB. Simulink would enable the system to be controlled appropriately by bounding some characteristics such as settling time, rise time and peak time within specified value that would make it dynamically stabl
Automated underwater vision system for detection and classification of marine life using CNN YOLO-based model / Mohamed Syazwan Asyraf Rosli
No full textThe exploration of underwater ecosystems requires thorough observation and investigation for different marine habitats leads to the usage of an underwater vision system. This method is superior as a non-destructive approach for video monitoring technique that takes advantage from the advancement of camera vision technology. However, manual processing of real-time or recorded video is a time-consuming, laborious, and highly possible for fatigue errors during analysis. This is due to the water murkiness and low-light projection that yield low visibility, hence limits the ability to precisely explore the underwater environments. Driven by these challenges, there is a need for an automated real-time method that can replace the manual analyzing process and be able to work under constraints environments. Recently, the integration of computer vision and machine learning has given solutions to improve the underwater detection system by using intelligent classifier algorithm in real-time computer vision to detect underwater animals with challenging environments. Therefore, this study is proposed to develop an automated underwater object detection model based on Deep Convolutional Neural Network (DCNN) by using You Only Look Once (YOLO). In this research, several single-stage detectors of YOLO models namely as YOLOv3, YOLOv4, YOLOv5 including their subset models were evaluated for benchmarking and comparison purpose. All models were trained and tested using three open-source datasets for assessing the models’ performances based on quantitative metrices and image processing speed. Hence, the proposed YOLO model is further improved based on the model optimization using a challenging The Brackish Dataset. The Adaptive Moment Estimation (Adam) optimizer and Learning Rate on Plateau are employed to optimize the model's training regime. Significantly, the comparison results show that YOLOv5s outperformed others in terms of mean average precision (mAP) up to 97.7% and inference speed of up to 125 Frame Per Second (FPS). Meanwhile, the Adam optimizer with a detailed learning rate and momentum fine-tuning provides sufficient convergence rate and assisting YOLOv5s achieve better performance of mAP which is 0.6% higher than SGD implementation and 13.72% better than original author for The Brackish Dataset implementation. As a conclusion, the proposed YOLO model is successfully improved with high precision performance for detecting underwater object in a challenging underwater environment. Thus, the model also provides sufficient image processing and speed capability at real-time which will help marine biologists in elevating underwater research for analyzing underwater video with minimal human intervention
In Vitro Testing of Potential Entamoeba histolytica Pyruvate Phosphate Dikinase Inhibitors
No full textEffect of anodizing voltage and annealing temperature on the growth of titanium dioxide nanotube
No full textGeneXPress card: development and evaluation of educational card game for DNA transcription subtopics in genetics
No full textUnderstanding deoxyribonucleic acid (DNA) transcription poses a substantial challenge in studying genetics, often due to lack of understanding and traditional teaching methods that fail to engage students. This study introduces GeneXPress, an innovative card game, aimed at enhancing the learning experience of DNA transcription for higher education biology students. Using the ADDIE model, this preliminary study assessed the usability of the GeneXPress card game through a survey of 169 biology education students at Universiti Pendidikan Sultan Idris, Malaysia. A quantitative approach was employed to analyze the survey data, evaluating the game’s usability using descriptive statistics, including mean scores and standard deviations. The findings reveal high usability and positive views of GeneXPress, covering various aspects such as goals, design, components and organization, playability and usefulness, with average scores of above 3.79. The positive perception of GeneXPress among students highlights its ability to engage and motivate learners, making the study of complex genetic concepts more accessible and enjoyable. In conclusion, it underscores the vital role of innovative teaching aids in enhancing student engagement and understanding, paving the way for future explorations into educational tools that cater to the evolving needs of learners and educators alike
DEVELOPMENT OF AN EFFECTIVE MAINTENANCE STRATEGIES FOR PRESSURIZED EQUIPMENT ACCORDING TO RISK BASED INSPECTION (RBI) IN PRIVATE HOSPITAL
No full textThe RBI methodology is commonly used in the oil industry through the API 581 standard. Since no such standard exists in the healthcare industry, the authors have developed one Pilot RBI Table from pressurize medical machine Anesthesia Gas Supply System (AGSS); in private hospital at Johor. The author objective was to determine the current and improper scheduled issues of maintenance method used in the hospital. Therefore, a questionnaire of survey was created, and interview session was conducted to find out what maintenance strategies that hospital used and the issues. It can be concluded that they were aware the present of RBI method. The author develops Pilot RBI Table maintenance strategies for reference propose module of identifying risk and priority equipment. The efficiency of the table by survey was concluded that it easy to understand and complete with information. To validate the outcome from the theoretical research of RBI in the private hospital, the author evaluates the research with expertise in the field of research. However, the Pilot RBI Table still have lacked content that required specific document on the targeted machine. Lastly the strategies of maintenance might be well implemented in the industr
