A Preliminary Study Of Implementation The Cinemagraph Technique Towards Public Service Announcement (PSA) Of Smoking Habit

This paper studied about the benefits of cinemagaph technique in enhancing public service announcement (PSA) on smoking habit issue. Main objective of this study is to introduce the technique of cinemagraph where it consists of two layers which photo and video that combines together where some parts to be highlighted are animated and loop seamlessly while others remain still. This would serve as the future of new communication through social media by delivering the benefits of contents through this technique. Following this, it serves as a new hybrid image technology by replacing the current poster advertisements in the production phase where the process of printing and making the poster by machines is abolished, because of the technology is replaced by the place through electronic system. Quantitative method has been picked to test the exposure of this technique among respondent, and pilot test been done. Results from the pilot test demonstrate that the self-designed measure is a very much reliable instrument, with an overall Cronbach alpha value of .93. Three factors emerge with high reliability scores of .70 and above. The correlation analysis demonstrates that the entire three dimensions are not perfectly correlated as their correlation analysis illustrates from low to moderate scores. Findings from the analysis confirm the reliability of the scale and validate the influenced results of the perception of public in predicting the existing of cinemagraph technique through the campaign. Results from the study demonstrate that the measurement used in the pilot study can serve as a potential measure in accessing the usability of cinemagraph in Public service announcement (PSA) campaign. The purpose of this paper is to study on the new technique of moving image or cinemagraph as a tool in enhancing current public service announcement (PSA) of smoking habit in Malaysia, thus can help industry of advertising to perform the campaign in order to spread the message of hazardous of smoking towards the target group in interactive way

A preliminary study of cinemagraphas a tool in enhancing Public Service Announcement (PSA) on smoking habit issue / Fahmi Samsudin, Rosita Mohd Tajuddin and Nik Ridzuan Nik Yusoff

Cinemagraph is a high definition new type of visual media that lies in between photos and videos where some parts that want to be highlight are animated and loop seamlessly while others remain completely still. Besides, this would serve as the future of new communication through social media by delivering contents in interactive way. Objectively, the point is to introduce the technique in creative industry in Malaysia at a new platform, thus this would give new breath in the related industry. Following this, this serves as a new hybrid image technology by replacing the current poster advertisements in the production phase where the process of printing and making the poster by machines is abolished, because of the technology is replaced by the place through electronic system. Results from the pilot test demonstrate that the self-designed measure is a very much reliable instrument, with an overall Cronbach alpha value of .93. Three factors emerge with high reliability scores of .70 and above. The correlation analysis demonstrates that the entire three dimensions are not perfectly correlated as their correlation analysis illustrates from low to moderate scores. Findings from the analysis confirm the reliability of the scale and validate the influenced results of the perception of public in predicting the existing of cinemagraph technique through the campaign. Results from the study demonstrate that the measurement used in the pilot study can serve as a potential measure in accessing the usability of Cinemagraph in Public service Announcement (PSA) campaign

Phytoremediation Process of Water Spinach (Ipomoea aquatica) in Absorbing Heavy Metal Concentration in Wastewater

Heavy metals have become one of the environmental pollutants in water. To overcome this problem, the phytoremediation process was used as the method to cleanse polluted media. The objectives of the study are to determine the heavy metal accumulation by water spinach (Ipomea aquatica) in different types of heavy metal and to determine the level of heavy metal reduction in contaminated water. Ipomea aquatica was placed in containers that had solutions of different heavy metal concentrations. The selected heavy metals are cadmium (Cd), zinc (Zn), and copper (Cu), with a concentration of 5 ppm, 10 ppm, and 15 ppm, respectively. This study lasted about 20 days. Every four days, plant and water samples are collected. The plant samples were dried, digested, and analyzed by using ICP-OES. The two-way ANOVA statistical test was used to measure the differences in the amounts of the heavy metals accumulated in the plant and water. The accumulation of elements in plants shows a gradual increase in the uptake of cadmium, Cu, and Zn. Ipomea aquatica is suitable to take up cadmium, where the highest level of cadmium found was 13.99 mg/kg. On day 8, the level of heavy metals in the water gradually decreases for Cu and Zn. The presence of heavy metals in the water had decreased by 82.20 % on the last day of treatment. Ipomea aquatica accumulated more heavy metals while the number of heavy metals in the water decreased over a period of days. For all heavy metal types, significant differences in heavy metal concentration were obtained at p<0.05, showing that Ipomea aquatica can be used in the phytoremediation approach to remove heavy metals from wastewater

Pattern recognition of Kedah River water quality data by implementation of principal component analysis

This study examines Kedah River Basin, Kedah, Malaysia, to achieve the objective of identifying and recognizing pollutant sources contributing to the water quality using a large dataset extending over a period of eight years, from the year 1997 to 2006. Principal Component Analysis was applied to simplify and provide a better understanding for the complex relationships among water quality parameters such as DO, BOD, COD, SS, pH, NH3-NL, temperature, conductivity, turbidity, salinity, dissolved solids, total solids, NO3, Cl, Ca, PO4, As, Hg, Cd, Cr, Pb, Zn, Ca, Fe, K, Mg, Na, Oil and Grease, MBAS, E.coli and Coliform. Graphical presentation of the data also helps a better view of the overall analysis to appoint sources of pollutant in accordance to their effect. Similar pattern of water quality data reveals nine Principal Components responsible for the data structure and explained 73% of the total variance of the data set. PC score model provided apportionment of various sources contributing to the water quality. Consequently the nine causes of pollutants involved are natural causes in terms of strong river current and geological location of this river, industrial and factories effluent discharge, construction, coal and metal mining, agricultural and sewage plant, human waste and illegal oil dumping

River water quality modeling using combined principle component analysis (PCA) and multiple linear regressions (MLR): a case study at Klang River, Malaysia

A collective set of data over five years (2003 to 2007) in Klang River, Selangor were studied in attempt to assess and determine the contributions of sources affecting the water quality. A precise technique of multiple linear regressions (MLR) were prepare as an advance tool for surface water modeling and forecasting. Likewise, principle component analysis (PCA) was used to simplify and understand the complex relationship among water quality parameters. Nine principle components were found responsible for the data structure provisionally named as soil erosion, anthropogenic input, surface runoff, fecal waste, detergent, urban domestic waste, industrial effluent, fertilizer waste and residential waste explains 72% of the total variance for all the data sets. Meanwhile, urban domestic pollution accounted as the highest pollution contributor to the Klang River. Thus, the advancement of receptor model was applied in order to identify the major sources of pollutant at Klang River. Result showed that the use of PCA as inputs improved the MLR model prediction by reducing their complexity and eliminating data collinearity where R2 value in this study is 0.75 and the model indicates that 75% variability of WQI explained by the five independent variables used in the model. This assessment presents the importance and advantages poses by multivariate statistical analysis of large and complex databases in order to get improved information about the water quality and then helps to reduce the sampling time and cost for reagent used prior to analyses

Cube Polygon: A New Modified Euler Method to Improve Electric Circuit Efficiency

Euler method is a numerical order process for solving problems with the Ordinary Differential Equation (ODE). It is a fast and easy way. While Euler offers a simple procedure for solving ODEs, problems such as complexity, processing time and accuracy have driven others to use more sophisticated methods. Improvements to the Euler method have attracted much attention resulting in numerous modified Euler methods. This paper proposes Cube Polygon, a modified Euler method with improved accuracy and complexity. In order to demonstrate the accuracy and easy implementation of the proposed method, several examples are presented. Cube Polygon’s performance was compared to Polygon’s scheme and evaluated against exact solutions using SCILAB. Results indicate that not only Cube Polygon has produced solutions that are close to identical solutions for small step sizes, but also for higher step sizes, thus generating more accurate results and decrease complexity. Also known in this paper is the general of the RL circuit due to the ODE problem

Effects of naturally-produced lovastatin on carcass characteristics, muscle physico-chemical properties and lipid oxidation and cholesterol content in goats

This study investigated the carcass characteristics, physico-chemical properties, storage stability and cholesterol content of meat from goats fed with different levels of naturally-produced lovastatin used to mitigate enteric methane production. Twenty intact Saanen male goats of 5-6 months old with initial live weight of 25.8 ± 4.0 kg were randomly allotted into four dietary treatments containing 0 (Control), 2 (Low), 4 (Medium) and 6 mg (High) per kg live weight (LW) of naturally-produced lovastatin for 12 consecutive weeks. No differences were found in all the parameters measured except for full LW, hot and cold carcass weight, shear force, color and cholesterol content among the treatment groups. Aging had significant effects on all the parameters measured in this study except a* (redness) of meat. Meat samples in the Medium and High treatments were of higher lightness and yellowness, more tender and lower cholesterol levels. We conclude that, in addition to mitigate enteric methane emissions, dietary supplementation of naturally-produced lovastatin at 4 mg/kg LW could be a feasible feeding strategy to produce tender meat containing lower cholesterol

Effects of naturally-produced lovastatin on feed digestibility, rumen fermentation, microbiota and methane emissions in goats over a 12-week treatment period

Twenty male Saanen goats were randomly assigned to four levels of lovastatin supplementation and used to determine the optimal dosage and sustainability of naturally produced lovastatin from fermentation of palm kernel cake (PKC) with Aspergillus terreus on enteric methane (CH4) mitigation. The effects on ruminal microbiota, rumen fermentation, feed digestibility and health of animal were determined over three measuring periods (4-, 8- and 12-weeks) and the accumulation of lovastatin in tissues was determined at the end of the experiment. The diets contained 50% rice straw, 22.8% concentrates and 27.2% of various proportions of untreated or treated PKC to achieve the target daily intake level of 0 (Control), 2, 4 or 6 mg lovastatin/kg body weight (BW). Enteric CH4 emissions per dry matter intake (DMI), decreased significantly (P<0.05) and equivalent to 11% and 20.4%, respectively, for the 2 and 4 mg/kg BW groups as compared to the Control. No further decrease in CH4 emission thereafter with higher lovastatin supplementation. Lovastatin had no effect on feed digestibility and minor effect on rumen microbiota, and specifically did not reduce the populations of total methanogens and Methanobacteriales (responsible for CH4 production). Similarly, lovastatin had little effect on rumen fermentation characteristics except that the proportion of propionate increased, which led to a decreasing trend (P<0.08) in acetic: propionate ratio with increasing dosage of lovastatin. This suggests a shift in rumen fermentation pathway to favor propionate production which serves as H+ sink, partly explaining the observed CH4 reduction. No adverse physiological effects were noted in the animals except that treated PKC (containing lovastatin) was less palatable at the highest inclusion level. Lovastatin residues were detected in tissues of goats fed 6 mg lovastatin/kg BW at between 0.01 to 0.03 μg/g, which are very low

A review of emergency management governance at construction sites in Malaysia

The construction industry is one of the biggest industries in Malaysia which contribute to a significant growth towards the country’s economy. Accidents, disasters, or crisis events originating either from internal or external of the construction site can cause delays to the project and impact the continuity and productivity of the overall project, hence there is a need for emergency management capability to be available for each construction site. Hence, it is the objective of this research is to identify and review current emergency management governance in construction industries in Malaysia and indicate the compliance of the governance towards Malaysia’s disaster management environment. In understanding disaster governance of emergency management in Malaysia at the construction site and in the construction industry, a systematic procedure for reviewing and evaluating documents which include both printed and electronic materials was conducted. This study concentrates on both the content validity method and face validity method. Identify significant documents were studied and recorded to acknowledge the contribution and support that the document provides towards disaster management and validation of findings from subject matter experts in the industry. Findings indicate that there is still a huge gap in the construction industry emergency management and governance in emergency management is greatly needed in ensuring the high productivity and sustainability of the construction industry