A 'green tyre' concept has the advantage of low rolling resistance, improved wet grip and enhanced handling. It has been reported that 3% decrease in rolling resistance is equivalent to 1% fuel saving, thus giving the 'green tyre' economic benefits and customer satisfaction. In this study, epoxidised natural rubber (ENR) compounds containing various loading of silica filler were prepared. The processibility and viscoelastic properties were investigated using the rubber processing analyser and Mooney viscometer. Results showed that the properties were adversely affected by the poor dispersion of silica as supported by the bound rubber measurement. In addition, a reversion in the cure behaviour was also observed as the curing temperature was increased to 170ºC.
Ozone generator system using discharge coronas was fabricated to produce ozone gas and
ozonated water of varying concentration. The generated ozone air emitted to the water
through bubble diffuser or venturi injection depending on the input air mass transfer rate.
The concentration of ozonated water was examined using both ozone test strip and Schoenbein
paper. It is found that the production of ozone water by using bubble diffuser technique
facilitates the production of higher concentration of ozonated water with higher ozone transfer
efficiency. The efficiency of ozone gas in microorganism treatment is verified through the
lowest number of microorganism’s colony available compared with other treatment methods.
The half-life of ozonated water in this study was improved by increasing the transfer rate
of water and solubility of ozone in water. The concentration of ozonated water was found
increased through the application of pressurised oxygen input gas.
The receptor-interacting protein 140 (RIP 140) is a well known nuclear repressor and has been shown to be crucial for female reproduction and metabolism. However, the function of this repressor in developmental processes is still unknown. We conducted a study to investigate the expression patterns of RIP 140 in developing zebrafish embryos. Semi-quantitative RT-PCR analysis revealed that RIP140 was highly expressed in the eye, swim bladder, reproductive and metabolic organs of adult zebrafish. During embryogenesis, RIP 140 mRNA was continuously expressed throughout all the developmental stages with the highest expression at 24 hours of post-fertilization (hpf). Furthermore, in situ hybridization whole-mounts revealed that the expression of this gene was mainly localized in the eyes, mid-brain, pectoral fin buds and somites. Therefore, this present study has provided a starting point for future investigations to examine the role of RIP 140 in the development of these organs.
In this present study, a series of polymer electrolyte thin films were synthesized by incorporating different ratios of lithium triflate (LiCF3SO3) in a low molecular weight polyvinyl chloride (PVC) matrix by the solution casting technique. The incorporation of LiCF3SO3 suppressed the high degree of crystallinity in PVC enabling the system to possess an appreciable ionic conductivity. The ionic conductivity of the samples, with different LiCF3SO3 content, was determined by the aid of ac impedance spectroscopy. The highest ionic conductivity of 4.04 10–9 S cm–1 was identified for the composition of PVC: LiCF3SO3 (75:25). Further understanding of the ionic conductivity mechanism was based on temperature-dependent conductivity data which obeyed Arrhenius theory, indicating that the ionic conductivity enhancement was thermally assisted. The possible dipole-dipole interaction between the chemical constituents was confirmed with changes in cage peak, analysed using Fourier transform infrared spectroscopy.
Three techniques to retrieve information on sea ice thickness from both active and passive radar backscatter data are presented. The first inversion model is a combination of the radiative transfer theory with dense medium phase and amplitude correction theory (DMPACT), and the Levenberg-Marquardt optimization algorithm. The radiative transfer theory was applied as the forward model to generate radar backscatter data, while the DMPACT was included to account for the close spacing effect among the scatterers within the medium. The Levenberg-Marquardt optimization algorithm was then applied to reduce the error between the model generated radar backscatter data and the measured radar backscatter data from satellite images so that the sea ice thickness could be estimated. The second method presented was the neural network inversion method which utilizes a chain of neurons with variable weights. Once the network was fully operational it would be possible to predict the sea ice thickness, provided sufficient training data are given. The last method was the genetic algorithm which is a search technique used in order to predict the approximate sea ice thickness from the measured data. Data from ground truth measurements carried out in Ross Island, Antarctica, together with radar backscatter data extracted from purchased satellite images were used as input to verify the models. All three models were tested and successfully predicted sea ice thickness from actual terrain using the ground truth measurement data, with several constraints and assumptions placed to avoid problems during the retrieval process. While the models still have their own limitations, the potential use of the models for actual sea ice thickness retrieval was confirmed.
The functions of dams are for water supply, flood control and hydroelectric power generation. A concrete faced rockfill dam (CFRD) is preferred by dam consultants due to its many advantages. It is designed to withstand all applied loads, namely gravity load due to its massive weight and hydrostatic load due to water thrust from the reservoir. The structural response of the Bakun CFRD which is the second highest dam in the world after the Shuibuya Dam, was analyzed using finite element method. A two-dimensional plane strain finite element analysis of the non-linear Duncan-Chang hyperbolic model was used in the study of the dam in respect to the deformation and stresses of the main dam of Bakun CFRD project. The Dead-Birth-Ghost element technique was used to simulate sequences of the construction of the dam. The comparison of rigid and flexible foundation on the behaviour of the dam is discussed in this study. In the finite element modeling, the concrete slab on the upstream was represented through a six-noded element, while the interface characteristic between the dam body and the concrete slab was modeled using an interface element. The maximum settlement and stresses of the cross-section were found and their distribution was discussed and tabulated in the form of contours. The effect of reservoir filling loading had a gradual effect on the dam response behaviour. Comparisons with no water impoundment in the dam were also discussed.
We have considered a fractional integral operator in this study. By using this integral operator we obtained a Briot-Bouquet superordination and sandwich theorem.
The objective of this paper is to model the extraction of carotenoid with supercritical carbon dioxide as the solvent. Experimental data for the high pressure vapour-liquid phase equilibrium of the binary system carbon dioxide-carotenoid was reviewed for the elevated temperatures of 313.15, 323.15, 333.15 K and pressures up to 500 bar. The experimental data was correlated and modeled using Redlich-Kwong equation of state and regular solution methods. The use of the equation of state as an empirical correlation for collating and predicting liquid-liquid and liquid-dense fluid equilibria is discussed. It was concluded that the estimation of some of the parameters required for these calculations would be difficult if the solute (carotenoid) was a complex substance about which little was known apart from its structural formula. An alternative procedure is to apply activity coefficient expression of the regular solution theory type to each phase. Calculations along these lines are described and the physical basis for applying these methods under the relevant conditions is discussed. The regular solution theory approach in particular was found to be encouraging for the mutual miscibility calculations for heavy components (such as carotenoid) particularly for substances sensitive to temperature, though the interaction parameters for he prediction activity coefficients must be regarded as pressure dependent.
In agricultural systems, animals play a very important multifunctional role for developing communities
throughout the world. This is reflected in the generation of value-added products like meat, milk and eggs for food security; socio-economic benefits like increased income, security and survival, and an infinite variety of services such as the supply of draught power and dung for soil fertility. However, and despite this importance, the situation is awesome since the projected total meat and milk consumption levels in 2020 are far in excess of anticipated supply, and projections of both meat and milk will have to be doubled by 2050 to meet human requirements. Strategies for productivity growth from animals are therefore urgent, and are discussed in the context of the scenario of waning agriculture, extreme poverty and hunger, food crisis, the current contributions from the components of the animal industries, prevailing constraints, opportunities and strategies for improved production. Current trends suggest that the non-ruminant pig and poultry industries will continue to contribute the major share of meat and all of egg production to meet projected human needs. With ruminants by comparison, overall meat production continues to come mainly from the slaughter of numbers. Strategic opportunities exist for maximising productivity in improved production systems. These include targeting rainfed areas, development of small farms, integrated crop-animal systems, intensive application of productivity-enhancing technologies, promoting intensive use of crop residues and expanding the R&D frontiers with interdisciplinarity and farming
systems perspectives. The issues, together with increased investments and institutional commitment, provide for expanded animal production systems and productivity which can forcefully impact on improved human welfare in Asia in the immediate tomorrow.
The effects of anticipated climate change and the potential impact on animal production are discussed in the context of varying biophysical features, agro-ecological zones (AEZs), ecosystems, land use, and responses in animal genetic diversity and production. The AEZs in Asia have great diversity in their links to food production in crop-animal small farm systems, the poverty complex and livelihoods of the poor. In these environments. climate change effects on animals were mediated through heat stress, water availability, quantity and quality of the available feed resources, type of production system and productivity. The responses to heat stress are tabulated and they vary according to species, breeds within-species, AEZs, physiological and nutritional status, genetic potential and multifunctionality. Among ruminant production systems, dairy production was especially vulnerable to heat stress. Interestingly in India, buffalo numbers owned largely by the landless and small farmers in the semi-arid and arid regions have grown twice as fast as the buffalo population in the irrigated areas. The implications and strategies to cope with climate change involve mitigation, adaptation and policy. The principal strategy is targetting to the reduce on in greenhouse gas (GHG) emission from the agricultural sector from enteric fermentation and manure, and ways to intensify C sequestration. An important link is that of breeding and conserving indigenous animal genetic resources as a means to mitigate climate change, with associated benefits to the trade of live animals and animal products. Improved integrated tree crops-ruminant systems are an important pathway to enhance C sequestration. The opportunities for research and development (R&D) are enormous and they would need policy support and large investments to provide improved understanding of ways to ensure sustainable animal production systems. Coping with the totality of the effects and impact of climate change constitutes the challenges for agricultural R&D and the improved livelihood of the resource-poor in the future.
The increased human demand for animal proteins in Malaysia is led by several factors: population growth, urbanisation, income growth and changing consumer preferences. Meeting the projected increased demand in the future is an awesome and challenging task. Presently, the non-ruminant poultry and pig industries, mainly private sector led, make the most significant contribution to total animal protein supplies, and inefficient ruminant production systems lag well behind. The strategy for promoting productivity growth to increase animal protein supplies from ruminants requires concerted efficient natural resource management that can target specific production systems. Two distinct economic opportunities are the development of oil palm-based cattle and goat production. The value addition to oil palm cultivation due to the beneficial crop-animal-soil interactions are enormous. The prerequisites are inter-disciplinary efforts, holistic systems, participatory community-based research and development that are needs-based and address constraints, increased research investments, institutional commitment and a policy environment that can enhance total factor productivity in the future.
The natural environment embraces agriculture and all its components-crops, animals, land, water,
forestry and fisheries. It is the most important user of environmental resources, made more complex
by the interactions of the various systems, biophysical elements and their implications. Increased food
production, especially of animal protein supplies are unable to meet current and projected future needs
for humans, including about 15 %of the world population being malnourished. Agriculture is currently
waning, and a coordinated and concerted technologically-driven transformation is necessary. Poorly
managed agriculture for example, can lead to serious environmental degradation and exacerbate
poverty. Land and water are considered to be the most limiting factors in the future. Non- irrigated
rainfed areas can be divided into high potential and low potential areas; the former offers considerable
promise to expand food production. This paper argues for increased Research and Development (R&D)
focus that can maximise improved natural resource management(NRM), and whether agricultural
development can maximise productivity yields .Other opportunities include expanding crop–animal
production systems in less favoured areas (LFAs), intensifying land use for silvopastoral systems in
rainfed areas , and enhance carbon sequestration. Ruminants can be used as an entry point for the
development of LFAs, and the presence of about 41.5% of the goat population found in the semi-arid/
arid AEZs X provides good opportunities for expanding food security and human well-being. Communitybased
interdisciplinary and systems approaches are essential to provide the solutions. The legacy of
continuing malnutrition and food insecurity must be overcome by effective development policy, multidonor
resource allocation, governance and political will that target food insecurity and poverty. The R&D
agendas and resource allocations are compelling, but dedicated vision can lead the way for sciencedriven
sustainable environment, efficiency in NRM, and self-reliance to the extent possible , in harmony
with nature and the environment.
Studies conducted on the various geometric properties of skeletons of water bodies have shown highly promising results. However, these studies were made under the assumption that water bodies were static objects and that they remained constant over time. Water bodies are actually dynamic objects; they go through significant spatio-temporal changes due to drought and flood. In this study, the characterization of skeletons of simulated drought and flood of water bodies was performed. It was observed that as the drought level increased from 1 to 9, the average length of the skeletons decreased due to reduction in the size of the water bodies and increase in the number of water bodies. As the drought level increased from 9 to 15, the average length of the skeletons increased further due to vanishing of small water bodies. Flood caused an increase in the average length of the skeletons due to merging of adjacent water bodies. Power law relationships were observed between the average length of the skeletons of the simulated drought/flood and the level of drought/flood. The scaling exponent of these power laws which was named as a fractal dimension, indicated the rate of change of the average length of the skeletons of simulated drought/flood of water bodies over varying levels of drought/flood. However, errors observed in the goodness of fit of the plots indicated that monofractals were not sufficient to characterise the skeletons of simulated drought and flood of water bodies. Multifractals and lacunarity analysis were required for more accurate characterisation.
A monitoring procedure was introduced for process variability in a multivariate setting based on individual observations which was a combination of (i) robust high breakdown point approach in the set-up stage to determine the reference sample and (ii) the use of Wilks chart in the mass production stage. This setting is what the Malaysian manufacturing industry is currently lacking in, especially when a robust approach must be used. The advantage of this procedure was revealed by using the case of a female shrouded connector production process in a Malaysian industry. Moreover, this procedure could also be used in any process quality monitoring and for any industry. A recommendation for quality practitioners was also addressed.
The paradigm that mathematics is a subject to be taught and learned is not correct. Mathematics is to be
produced. However, without hermeneutics, it would be difficult to do so. Unfortunately, hermeneutics was
all that have been neglected in mathematics education. Meanwhile, only with hermeneutics, teaching
and learning mathematics and also research in mathematics could flourish and be fruitful. Without it,
it would be extremely hard for students to come up with a new creation in mathematics. This paper
aims to shift the paradigm of mathematics education from learning (only) of mathematics into producing
mathematics. Some examples are presented to illustrate the power of hermeneutics in developing
mathematical imagination, ideas, and creativity towards mathematical discovery or invention.
Industrial statistics is an important part of the management system in any industry that strives to continuously improve quality and increase productivity and efficiency. That system covers supply chain management, production design and prototyping, production process and marketing. Industrial statisticians, industrial engineers and industrial leaders should work together hand in hand, in the same language, to ensure that the process and products are as expected. The system itself is never complete. Thus, the usefulness, manageability and reliability of all statistical models used in the system are to be considered as first priority, but those skills are not sufficient. Industrial statisticians should also, of course, be able to come and go between the two poles: statistics and industry. This requirement needs a good understanding about the culture of these poles and how to conduct a mutual symbiosis. One of the principal bridges between these cultures is statistical process control (SPC). This paper is to show that modern industry cannot escape from SPC, especially in a multivariate setting. This setting, which characterizes modern industry, consists of two philosophical problems: how to order data and how to measure process variability. Our recent research results sponsored by the Government of Malaysia will be presented to illustrate the challenging statistical problems in modern industry.
Almost a half century after it was introduced, Wilks’ statistic has come into application in industrial manufacturing process variability monitoring. This is an important breakthrough in the way experts monitor the variability of manufacturing processes which is vital in modern industry. It leaves behind the traditional practice characterized by the use of sample size n which equals 1, if the process variability monitoring is based on individual observations and is greater than the number of variables p if one works with subgroup observations. The use of Wilks’ statistic allows us to work with n < p. This paper contains a review on process variability monitoring based on individual observations. First, some historical backgrounds of process variability monitoring in the general scheme was reviewed before it was revealed where the philosophy of Wilks’ statistic could be further interpreted. Subsequently it was indicated that the way to monitor the process variability depended on how the variability itself was measured. Finally, a new statistic for detecting the shift in variability based on individual observations was introduced and then a new control chart was proposed. The performance of the proposed chart as compared with Wilks chart, was quite promising. Therefore, some recommendations were given to better understand the history of manufacturing process variability.
Elevated glucocorticoid levels during stressed conditions have been demonstrated to impair reproductive function in rats. In our previous study investigating the dose-related effects of corticosterone (CORT) on the fertilising capacity of epididymal sperm in surgically-manipulated rats, we found that 25 mg/kg/day of CORT given subcutaneously for seven consecutive days significantly decreased the number of implantation sites and increased intrauterine embryonic loss compared to controls. Based on these findings, the current study aims to elucidate the possible mechanisms of action of CORT-induced stress on impaired sperm fertility in rats. Results of the present study showed that compared to controls, 25 mg/kg/day of CORT given subcutaneously for 7 consecutive days significantly increased the level of plasma malondialdehyde (MDA) with corresponding attenuated levels of superoxide dismutase (SOD), glutathione peroxidase (GPx) and catalase (CAT) activities. Plasma adrenocorticotropin (ACTH) and testosterone levels were also found to be decreased in CORTtreated rats. These findings suggest that CORT-induced oxidative stress and exert an inhibitory effect at the hypothalamic-pituitary-gonadal (HPG) axis, as evidenced by increased lipid peroxidation, reduced enzymatic antioxidant activities, and decreased testosterone production. These subsequently result in decreased fertilising capacity of epididymal sperm leading to poor pregnancy outcomes.
The main purpose of this study is to determine shoreline change in Bengkalis Cape, Riau Province, Indonesia using sediment samples analysis, satellite images, and oceanographic parameters. The samples were collected at five stations by using sediment grab and oceanographic observation was also carried out at each station in November 2015. The southern part of Bengkalis Cape is characterised by fine-grain sediments (mud) and high rate of accretion that reaches 29.77 metre/year, and is influenced by weak tidal currents with a velocity of less than 0.06 m/s and low wave energy. In contrast, the northern part is occupied by coarse-grain sediments (sand) which is characterised by high rate of abrasion as shown in the image data for 20 years; 1995-2015 reaches 38.02 metre/year, and is under the influence of strong tidal current (0.16 m/s) and high wave energy. The major contributing factor for the shoreline change is the current system which flowing from Malacca strait to the shore area and sediments deposition in the area.
Covering as much as 25% to 35% of the development cost, software testing is an integral part of the software development lifecycle. Despite its importance, the current software testing practice is still based on highly manual processes from the generation of test cases (i.e. from specifications) up to the actual execution of the test. These manually generated tests are sometimes executed using ad hoc approaches, typically requiring the construction of a test driver for the particular application under test. In addition, test engineers are also under pressure to test increasing lines of code in order to meet market demands for more software functionalities. While there are significant proliferations of helpful testing tools or research prototypes in the market, much of them do not adequately provide the right level of abstraction and automation as required by test engineers. In order to facilitate and address some of the aforementioned issues, an automated testing tool was developed, called SFIT, based on Java® technology. This paper describes the development, implementation and evaluation of SFIT. Two case studies involving the robustness assessment of an adder module and a Linda-based distributed shared memory implementation are described in order to demonstrate the applicability of SFIT as a helpful automated testing tool.