Influence of Intermedia in Development of Malaysian Art Scene

Media art has evolved over time. Artists are developing intermedia in their art. It begins in 1950s NYC. The idea of Intermedia has since extended globally. Malaysia's media development is influenced by western Intermedia. Malaysian artists are intermedia experts. This research aims to determine why Malaysian artists use Intermedia and to classify its disciplines. This research was place in studio or online, depending on current conditions. Pandemic, artist demand. This research used library, catalogue, and web sources for data. The data will be analyzed to classify the artists' Intermedia use. Intermedia has diversified into numerous disciplines, and it's still growing. Keywords: Intermedia, Malaysian Art, New media eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by E-International Publishing House, Ltd., UK. This is an open-access article under the CC  BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of AMER (Association of Malaysian Environment-Behavior Researchers), ABRA (Association of Behavioral Researchers on Asians), and cE-Bs (Centre for Environment-Behavior Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v7iSI9.394

Causes of in-hospital delay for door-to-needle times in patients presenting with acute ST-Elevation Myocardial Infarct in Rural Malaysia

Study Objective: Background: In developing countries such as Malaysia, the primary mode for revascularization is via thrombolytic therapy. The Malaysian Clinical Practice Guideline on acute ST-elevation myocardial infarction advised the implementation of a 30-minute door-to-needle time. This study aims to evaluate the mean door-to-needle times and the reasons for in-hospital delays. Methods: Ninety four patients with acute ST elevation myocardial infarction patients were screened and 75 patients were recruited in this prospective observational study. The mean door-to-needle times were recorded and the reasons for delays in door-to-needle times were elucidated. Results: The majority of patients were male (89.3%), of Malay ethnicity (84%), presenting with anterior MI (69.3%) with a mean age of 57.0 � 9.52 years. The mean door-to-needle time was 80.54 � 84.8 minutes. Only 20% achieved the 30- minute door-to-needle time and only 65.3% achieved the 60 minute door-to-needle time. The reasons for late thrombolysis were quoted as late referrals from A�E (50%), hypertensive emergency (22%), resuscitation (17%) and others (11%). Conclusion: There is significant in-hospital delay in administrating thrombolytic agents for patients presenting with acute ST-elevation myocardial infarction. Some of the delays were unavoidable (hypertensive emergency and hypotension or VT/VF requiring resuscitation) but the majority of the delay is due to late referrals from A�E to attending cardiology on-call officers

Auto depth control for underwater remotely operated vehicles using a flexible ballast tank system

This paper describes the development of autodepth control using a flexible ballast tank system for underwater Remote Operated Vehicle (ROV) that is commonly used in underwater application, such as monitoring, surveying and researching activities. Since the ROV design must be able to submerge and emerge, buoyancy control is needed. However, it is difficult to get the ROV to maintain at a constant depth for it to perform a desired task using the thruster system. This is because the power consumptions and saturated at certain depths depend closely on the design of thruster for the ROV. Thus, the ROV needs to have an auto depth control to maintain their depth so that all activities such as collecting data, monitoring and surveying at a constant specific depth can be carried out with minimum power consumption. This research attempts to design an auto depth control using a flexible ballast tank system for the ROV equipped with a pressure sensor as a depth sensor. The flexible ballast tank system is based on the principle of the pump that adopts the inlet or outlet water inside the tank by controlling the polarity of the pump regulated by a relay that acts like a switch. The switch is used to control the flow of current and activate the coil when it is triggered. The pressure sensor from a model MPX4250GP has been used and it functions as the depth sensors that send signal to PIC to execute the function of relay for controlling the pump’s polarity. In dealing with the controlling part, PIC is used as the microcontroller interface to program the relay function. There are two major phases in developing the auto depth system for the flexible ballast tanks: the hardware and software designs that consist of mechanical design and programming. The ROV will be tested in a laboratory pool to get the data that will be analyzed. This ROV is proven to be able to control the desired depth of 1 meter by controlling the flow of water inside the flexible ballast tank with minimized power consumptions

Stems' diameter variations to detect sympodial orchids' water stress / Naimah Mat Isa … [et al.]

The measurements of stems' has played an important indicator for plant's water status. Many researches have been carried out in terrestrial plants to investigate the stems' variations of responses that had inspired to develop a precise irrigation system. Hence, the work presented in this thesis investigates the stems' variations in epiphyte plants that are sympodial orchids. A strain gauge was used as a sensor to measure the orchid's stem variation for 48 days at two stages of measurements. The Dendrobium orchid that grew from tissue culture was chosen as a sampling plant due to its popularity as a cut flower in the world's demand. The experiment was done within 30 days involving 10 samples of orchid plants growing indoor and outdoor. The measurements were recorded every 15 minutes continuously along the experiment executed. The 2 mm aluminium strain gauge and it's signal conditions that integrated with PIC produced a correlation at 0.96 between its output and the changes in displacement. The results showed that the stems' diameter variations in Dendrobium orchids could be manipulated for further analysis and it had played a significant role for triggering further researches in the developments of a precise watering system in the orchid farms

Design analysis and modelling of autonomous underwater vehicle (AUV) using CAD

1081-1090In the underwater world, an autonomous underwater vehicle (AUV) is created to assist in underwater research. This project presents a design analysis and modelling of AUV using computer aided design (CAD) simulation software, SolidWorks. The scope of this project divided into two parts: (a) AUV design and (b) analysis of battery enclosure stress and strain simulation and flow simulation of 3-blade propeller T100 thrusters. The AUV was designed part by part first and then the assembly of all the parts is carried out. In the simulation stress and fluids were applied on the enclosure box and a thruster, respectively, to observe the reaction of the parts as the frame and pressure hull from Blue ROV design. The result of the stress simulation shows that the enclosure box is very durable and can withstand up to 718.10 Pascal equivalents to 73.2 meter underwater depth. Furthermore, the outcome of flow simulation by using SolidWorks has shown that the maximum velocity of thruster flow is 4.939 m/s, while the acceleration of 5.655 m/s2 of the AUV is calculated by using thrust force and mass of the AUV

Inhibitory effects of Melicope ptelefolia extract on compound action potentials in frog sciatic nerves and its possible mechanism of action

Melicope ptelefolia is a medicinal plant from the Rutaceae, also known as ‘tenggek burung’ in Malaysia. Traditionally, natives ingest M. ptelefolia to treat a wide range of illnesses. This study aimed to investigate the effects of M. ptelefolia aqueous extract (MPAE) on compound action potentials (CAPs) in frog sciatic nerves and its mechanism involving the opioid receptors. The effects of MPAE on CAPs in frog sciatic nerves were examined using the AD Instrument Nerve Chamber. The frog sciatic nerves were dissected from the lumbar plexus to the knee of the frog and placed in Ringer’s solution. Three treatment groups with different dosages (1, 3 and 10 mg/mL) of MPAE, including negative (vehicle) and positive control group (3 mg/mL of morphine) were tested on the frog sciatic nerves by placing them in a nerve organ chamber. Following this, the involvement of opioid receptors in the effects of MPAE on CAPs was investigated by using naloxone hydrochloride as a non-selective opioid receptor antagonist. Our results showed that the peak amplitudes of CAPs were significantly (p<0.001) reduced when treated with MPAE (3 and 10 mg/mL) in frog sciatic nerves. The MPAE-induced CAPs inhibition was reversed when pre-treated with naloxone, suggesting the involvement of the opioidergic system. These results indicated the modulatory action of MPAE on nerve conduction, which may provide important leads in the development of new therapeutic drugs through the involvement of opioid receptors

Design And Development Of Underwater Robot For Cleaning Process

This paper shows the conception and growth of an underwater robot for cleaning operation that can help human beings to perform cleaning tasks underwater. Unmanned underwater vehicles can cut down the danger to human life in term of underwater cleaning job where a human can dive and descent at a certain depth and is not able to stay there in a longer period of time. Underwater Robot for cleaning process was a combination between underwater robot such as Remotely Operated Vehicles (ROV) and cleaning part called Underwater Cleaning Robot (UCR). The main objective of this project was to develop a cleaning tool attached to the ROV to demonstrate the performance of the cleaning procedure as in water treatment operations. By the invention of this UCR, more underwater cleaning job can be done without involving human life. This project began with a design using Solidworks software to capture the dynamics of a newly fabricated UCR. The UCR can perform the cleaning task and this project can give much benefit to the related underwater business especially for the cleaning process

Empirical Analysis for Stock Price Prediction Using NARX Model with Exogenous Technical Indicators

The file attached to this record is the Publisher's final version. Open access article.Stock price prediction is one of the major challenges for investors who participate in the stock markets. Therefore, different methods have been explored by practitioners and academicians to predict stock price movement. Artificial intelligence models are one of the methods that attracted many researchers in the field of financial prediction in the stock market. This study investigates the prediction of the daily stock prices for Commerce International Merchant Bankers (CIMB) using technical indicators in a NARX neural network model. The methodology employs comprehensive parameter trails for different combinations of input variables and different neural network designs. The study seeks to investigate the optimal artificial neural networks (ANN) parameters and settings that enhance the performance of the NARX model. Therefore, extensive parameter trails were studied for various combinations of input variables and NARX neural network configurations. The proposed model is further enhanced by preprocessing and optimising the NARX model’s input and output parameters. The prediction performance is assessed based on the mean squared error (MSE), R-squared, and hit rate. The performance of the proposed model is compared with other models, and it is shown that the utilisation of technical indicators with the NARX neural network improves the accuracy of one-step-ahead prediction for CIMB stock in Malaysia. The performance of the proposed model is further improved by optimising the input data and neural network parameters. The improved prediction of stock prices could help investors increase their returns from investment in stock markets

Fuzzy Logic Controller For Depth Control Of Underwater Remotely Operated Vehicle

Nowadays, unmanned underwater vehicle (UUV) is created to reduce human intervention in deep-water application. UUV can help human to make an underwater application that commonly used in deep water industries. During operation, the UUV undergoes a complex multi-axis motion trajectories that are highly nonlinear because the subsystems in the UUV are ill-defined and strongly coupled to each other. The conventional controller such as Proportional, Integral and Derivative (PID) and Proportional and Derivative (PD) have a problem to control nonlinear operation. The conventional controller hardly to achieve zero overshoot. Implementation of the controller on the UUV using Fuzzy Logic Controller (FLC) itself poses its own level of complexity. Consequently, implementation of FLC also requires fast and high-performance processors. The objectives of this paper are to study the effect of the tuning membership function to improved performances of the FLC for depth control using actual underwater Remotely Operated Vehicle (ROV) based on VideoRay ROV Pro III as well as to analyze performance of system response of depth control in terms of zero overshoot, faster rise time and small steady state error. Then, the proposed approach is verified using hardware interfacing between MATLAB/Simulink and Microbox 2000/2000C. The result shows FLC gives rather best performance in term of faster rise time, zero overshoot and small steady state error as compared with conventional controllers