To encourage recycling in Malaysian households, a waste separation at source programme was implemented that made it mandatory for households to sort their waste into different categories before leaving it out for collection. Penalties designed to act as a deterrent are imposed on households that fail to sort their waste appropriately. But does this deterrence motivate compliance with the programme directives? This study employs the deterrence theory to investigate if deterrence alone is sufficient to motivate households to actively participate in recycling. A total of 866 questionnaires were administered in person in households in Putrajaya and Melaka. Data were analysed using structural equation modelling. The results of the structural model reveal that just 25% of the variance in compliance is explained by the severity of the sanction, and the perceived certainty of penalty imposed. Perceived severity of sanction (β = 0.149, p = 0.012) and perceived certainty of sanction (β = 0.383, p = 0.000) were found to contribute significantly to compliance behaviour to the programme directives. However, deterrence alone cannot motivate household participation in waste separation at source because it only explains 25% of compliance behaviour. The present study provides information that could allow policymakers to understand recycling habits better and implement more effective compliance strategies.
This paper aims to analyse factors affecting financial stress among the Bottom 40 Percent (B40) group of Malaysian households, reflecting overall financial well-being. Data were collected through questionnaires from 1008 respondents across five major regions in Malaysia. The data were analysed using Exploratory Factor Analysis (EFA) and Partial Least Squares-Structural Equation Modelling (PLS-SEM). This study provides evidence that financial behaviour, financial vulnerability (debt and income), and locus of control (luck and self-confidence) significantly affect financial stress among B40 households. The results show a significantly positive relationship between financial stress with financial vulnerability (debt and income) and locus of control (self-confidence). On the contrary, financial behaviour and locus of control (luck) show a significant negative relationship with financial stress. The result also indicates that financial stress affects financial well-being. Overall, the findings indicate that policy-makers should invent more effective and substantial stimulus packages or other measures to reduce the financial burden on B40 households. The findings could eventually provide insights for future research to delve into the social impact of financial stress. This study also has established a valid and reliable instrument to measure financial stress involving B40 households in Malaysia that eventually reflects the financial well-being of this group of people.
PIP: The nature of the family in Southeast Asia is examined by reviewing the work of Koichi Mizuno on multi-household compounds in Northeast Thailand in comparison with groupings among Kedah Malays. The authors conclude that the family among Thais and Malays is a flexible, social circle of interwoven dyadic relations and that it can take a variety of grouping pattterns according to circumstances
PIP: Malaysia recently reiterated its commitment to protect the right of couples to choose the number and spacing of their children and to have the information and means to do so. This policy is in accord with Malaysia's belief that the individual is at the center of all socioeconomic and environmental programs. Thus, Malaysia acknowledges the importance of promoting better understanding of the relationship between population and sustainable development. This focus will enable Malaysia to emphasize areas such as maternal mortality, family planning, and breast feeding and to establish special programs for marginalized, disadvantaged, and vulnerable groups of people. Malaysia also acknowledges the importance of establishing a pool of trained researchers in population and development issues.
Introduction Tong Nibong is a Bidayuh village located at Sarawak Kalimantan border.
Since the year 2004 to 2009, a total of 537 cases of malaria were recorded in
Serian District of which 14 cases were reported from Kampung Tong
Nibong. Community empowerment programme for malaria infection
prevention showed tremendous improvement in implementation. This
intervention study aims to gauge the effectiveness of community
empowerment approach in malaria elimination programme in Kampung Tong
Nibong Serian.
Methods An intervention study was conducted with pre and post data collection. Data
was collected using validated questionnaire by face to face interview.
Universal sampling method was used to select respondents from head of
household and post data was collected after intervention activities were
carried out within a year of study period.
Results The study showed significant difference on level of knowledge of
respondents on vector of malaria between pre and post data with a P < 0.05.
There was significant difference between pre and post data on practices on
control and prevention of malaria with a P < 0.05. The same goes to level of
positive attitude of respondents towards malaria control.
Conclusions In conclusion, the study can be considered successful because there is
significant difference in knowledge, attitude and practice among the
respondents between pre and post data. This indicates that community
empowerment (voluntary participation) measures can be implemented in high
risk or endemic areas where malaria is a persistent problem to the community
and health institutions faces many limiting factors.
The effect of unmanageable construction waste is an unstable land settlement and groundwater pollution. In addition to environmental pollution, construction waste could incur construction cost. The most construction waste is the material used at sites and tile is also a part of the waste generated in construction. The objectives of this study are to determine the tile waste generated in construction stages and linear regression analysis for the amount of tile waste generated. The method used in this study was the Linear Regression Model. The regression model established in the sample data reported an R2 value of 0.793; therefore, the model can predict approximately 79.3% of the factor (area) of tile waste generation. The linear regressions can be applied as tools to predict the tile waste generated at construction sites and help the contractor to track the sources of missing waste.
Unmanned Aerial Vehicle (UAV) is one of the latest technologies for high spatial resolution 3D modeling of the Earth. The objectives of this study are to assess low-cost UAV data using image radiometric transformation techniques and investigate its effects on global and local accuracy of the Digital Surface Model (DSM). This research uses UAV Light Detection and Ranging (LIDAR) data from 80 meters and UAV Drone data from 300 and 500 meters flying height. RAW UAV images acquired from 500 meters flying height are radiometrically transformed in Matrix Laboratory (MATLAB). UAV images from 300 meters flying height are processed for the generation of 3D point cloud and DSM in Pix4D Mapper. UAV LIDAR data are used for the acquisition of Ground Control Points (GCP) and accuracy assessment of UAV Image data products. Accuracy of enhanced DSM with DSM generated from 300 meters flight height were analyzed for point cloud number, density and distribution. Root Mean Square Error (RMSE) value of Z is enhanced from ±2.15 meters to 0.11 meters. For local accuracy assessment of DSM, four different types of land covers are statistically compared with UAV LIDAR resulting in compatibility of enhancement technique with UAV LIDAR accuracy.
CONCLUSIONS: The comparison of different selection indices is justified only if the indices are constrated to achieve the same profit function, even when each index is not optimized with respect to that profit function.When a profit function is known and is non-linear, the desired gains index may be more efficient than the economic index. The optimum desired gains index should be determined by iterative techniques over several generations to compare the genetic progress with the economic index, because gains by the economic index are not linear and the changes observed in the initial generations of selection are not the same rates in future generations, although those changes are linear in the case of the desired gains index.
Mobile robots often have to discover a path of collision-free towards a specific goal point in their environment. We are trying to resolve the mobile robot problem iteratively by means of numerical technique. It is built on a method of potential field that count on the use of Laplace’s equation in the mobile robot’s configuration space to constrain/which reduces the generation of a potential function over regions. This paper proposed an iterative approach in solving robot path finding problem known as Accelerated Over-Relaxation (AOR). The experiment shows that these suggested approach can establish a smooth path between the starting and goal points by engaging with a finite-difference technique. The simulation results also show that a more rapidly solution with smoother path than the previous work is achieved via this numerical approach.
The introduction of good and services tax (GST) that has replaced the sales and services tax (SST) had contributed to the rising cost of living in Malaysia. The focus of this research was to present a data article on the response and perception of Malaysian households about the increasing cost of living. A descriptive research design was adopted in this study. Data were obtained from randomly selected 751 respondents of households across Malaysia. The data were collected through a structured questionnaire. Data analysis was carried out using tables and percentages. The findings show the negative perceptions of Malaysian households on the increase in the cost of living. There are various causes of the rising cost of living and can be inferred based on the perspective of income changes, price changes and patterns household consumption expenditure.
"Based on surveys conducted among different ethnic groups in rural and urban settings in Peninsular Malaysia in 1981-82, this paper analyses changes in patterns of marriage and household formation among Malays, Chinese, and Indians. Aspects covered include social mixing before marriage, choice of spouse, comparison of spouses' characteristics, and place of residence after marriage. There are important cultural differences between the main Malaysian ethnic groups in matters related to marriage, but in many important respects, attitudes and practice are tending to converge...."
The design of family studies to estimate the value of an intraclass correlation coefficient p is considered when ni individuals are to be selected from each of k families, i = 1, 2, ..., k. In particular, the accuracy of a balance design (ni = n, i = 1, 2, ..., k) for estimating p is compared with the accuracy of an unbalanced "natural" design, in which the ni are sampled at random from family size distributions that tend to occur in practice. It is found for two different estimators of p that the balanced design is usually preferable, but only to a small degree if the number of families sampled is greater than 50.
About 10% of 3887 ever-married women included in the 1984-85 Malaysian Population and Family Survey revealed that they were influenced by the new population policy to desire more children than they had originally wanted. These women were more likely to be rural Malays from the lower socioeconomic class. Ideal family size was more than four children. Children are desired for economic benefits and emotional support. The natality of the Malays has risen since 1980: their total fertility rate has increased while their contraceptive prevalence rate has dropped sharply. Coupled with a decline in the crude death rate, the present fertility preferences and behaviour of the Malays will render the target of the population policy more attainable than is reflected by the survey data.
This study employs dynamic panel data for 34 Sub Saharan Africa (SSA) countries for the period 1984-2016 to estimate the effects of renewable energy on environmental quality measured by three indicators, namely, per capita CO2 emissions, energy intensity (EI) and Aggregate National Savings (ANS). The study leveraged a battery of second-generation econometric tests and estimation and causality methods to obtain the coefficients between the regressed and the regressors. Results reveal that use of renewable energy reduces CO2 emissions and energy intensity while it enhances ANS. Economic growth still seems to be expensive for the region as it stimulates CO2 emissions. However, it has a positive effect on ANS. As expected, fossil fuels exacerbate CO2 emissions and energy intensity. FDI is found to be detrimental for the environment of SSA region with its positive significant coefficient on CO2 emissions. Financial development is reported to reduce CO2 emissions. Some causal links between variables are also noted.
Smart Grid Industry 4.0 (SGI4.0) defines a new paradigm to provide high-quality electricity at a low cost by reacting quickly and effectively to changing energy demands in the highly volatile global markets. However, in SGI4.0, the reliable and efficient gathering and transmission of the observed information from the Internet of Things (IoT)-enabled Cyber-physical systems, such as sensors located in remote places to the control center is the biggest challenge for the Industrial Multichannel Wireless Sensors Networks (IMWSNs). This is due to the harsh nature of the smart grid environment that causes high noise, signal fading, multipath effects, heat, and electromagnetic interference, which reduces the transmission quality and trigger errors in the IMWSNs. Thus, an efficient monitoring and real-time control of unexpected changes in the power generation and distribution processes is essential to guarantee the quality of service (QoS) requirements in the smart grid. In this context, this paper describes the dataset contains measurements acquired by the IMWSNs during events monitoring and control in the smart grid. This work provides an updated detail comparison of our proposed work, including channel detection, channel assignment, and packets forwarding algorithms, collectively called CARP [1] with existing G-RPL [2] and EQSHC [3] schemes in the smart grid. The experimental outcomes show that the dataset and is useful for the design, development, testing, and validation of algorithms for real-time events monitoring and control applications in the smart grid.
This study was conducted to identify the practices of Malay chefs in preparing traditional Malay dishes at hotels in the Klang Valley. In addition, this study aimed to identify the level of knowledge and practices of these chefs with regard to traditional cooking and to analyse how the knowledge could be passed on to the younger generation of Malay chefs. In reality, these practices and traditions which include the practices in food preparation, skills and cooking techniques to maintain the authenticity and sustainability of the traditional Malay cuisine are slowly being neglected, especially among those in the hotel industry. The younger generation of Malay chefs no longer seems to take pride in the traditional way of cooking. In addition, the use of processed food in Malay kitchens is very common today. In order to achieve the aims of the study, a qualitative research was conducted. Chefs at various hotels in the Klang Valley were interviewed to determine their current practices. The findings showed that the techniques of cooking traditional Malay foods have been tainted with modern culinary techniques due to a lack of exposure and knowledge in traditional Malay cuisine. In general, traditional cooking methods are viewed as outdated, obsolete and not in accordance to modernisation. By conforming to the style of cooking with modern equipment and technology, this has indirectly altered the prevailing practices of the traditional food preparation in hotels.
A new topic of Zero Energy Building (ZEB) is getting famous in research area
because of its goal of reaching zero carbon emission and low building cost. Renewable
energy system is one of the ideas to achieve the objective of ZEB. Genetic Algorithm (GA)
is widely used in many research areas due to its capability to escape from a local minimal
to obtain a better solution. In our study, GA is chosen in sizing optimization of the
number of photovoltaic, wind turbine and battery of a hybrid photovoltaic-wind-battery
system. The aim is to minimize the total annual cost (TAC) of the hybrid energy system
towards the low cost concept of ZEB. Two GA parameters, which are generation number
and population size, have been analysed and optimized in order to meet the minimum
TAC. The results show that the GA is efficient in minimizing cost function of a hybrid
photovoltaic-wind-battery system with its robustness property.
Previous studies have indicated that the pipe-surface-mounted helical strakes effectively reduce vortex-induced vibration (VIV) under a uniform flow application, particularly during the lock-in region. Since VIV experiments are time-consuming, observation is generated with an interval helical strakes parameter in pitch and height to lessen tedious procedures and repetitive post-processing analyses. The aforementioned result subset is insufficient for helical strakes design optimisation because the trade-off between the helical strakes dimension, lock-in region and flow velocity are non-trivial. Thus, a parametric model based on an improved recursive least squares (RLS) parameter estimation technique is proposed to define the statistical relationship between input, or strakes and pipe dimension, and output, or VIV amplitude ratio. As results suggested, revised RLS estimated VIV model demonstrated an optimal prediction with the highest coefficient of determination and lowest Integral Absolute Error. The feasibility of VIV parametric model was validated by embed into Genetic Algorithm (GA) as the fitness function to acquire a desirable helical strakes dimension with minimum VIV amplitude. The rapid generation of optimal helical strakes dimension which returned the highest VIV suppression implied a superior simulation method compared to the experimental outcome.
The magnetic and electronic properties of boron-doped SrTiO3 have been studied by first-principles calculations. We found that the magnetic ground states of B-doped SrTiO3 strongly depended on the dopant-dopant separation distance. As the dopant-dopant distance varied, the magnetic ground states of B-doped SrTiO3 can have nonmagnetic, ferromagnetic or antiferromagnetic alignment. The structure with the smallest dopant-dopant separation exhibited the lowest total energy among all configurations considered and was characterized by dimer pairs due to strong attraction. Ferromagnetic coupling was observed to be stronger when the two adjacent B atoms aligned linearly along the B-Ti-B axis, which could be associated with their local bonding structures. Therefore, the symmetry of the local structure made an important contribution to the generation of a magnetic moment. Our study also demonstrated that the O-Ti-O unit was easier than the Ti-B-Ti unit to deform. The electronic properties of boron-doped SrTiO3 tended to show semiconducting or insulating features when the dopant-dopant distance was less than 5 Å, which changed to metallic properties when the dopant-dopant distance was beyond 5 Å. Our calculated results indicated that it is possible to manipulate the magnetism and band gap via different dopant-dopant separations.