Non-destructive and real time method becomes a well-liked method to researchers in the oil palm
industry since 2000. This method has the ability to detect oil content in order to increase the
production of oil palm for better profit. Hence, this research investigates the potential of neutron
source to estimate oil content in palm oil fruit since oil palm contains hydrogen with chemical
formula C55H96O6. For this paper, oil palm loose fruit was being used and divided into three
groups. These three groups are ripe, under-ripe and bruised fruit. A total of 21 loose fruit for each
group were collected from a private plantation in Malaysia. Each sample was scanned using
neutron backscattered technique. The higher neutron count, the more hydrogen content, and the
more oil content in palm oil fruit. The best correlation result came from the ripe fruits with r2=0.98.
This research proves that neutron backscattered technique can be used as a non-destructive and
real time grading system for palm oil.
As a crucial demand in urban areas, flood risk management has been considered by researchers and decision makers around the world. In this case, hydrological modelling that simulates rainfall-runoff process plays a significant role. This paper quantified the roles of three main parameters in river basin hydrological response, namely, rainfall event duration, rainfall event ARI (magnitude) and land-use development condition. The case study area of this research was Sungai Kayu Ara basin which is located in the western part of Kuala Lumpur, Malaysia. A total of twenty seven scenario were defined for this research, including three different rainfall event durations (60, 120 and 360 minutes), three different ARIs (20, 50 and 100 years) and in three different land-use conditions (existing, intermediate and ultimate). The results of this research indicate that rainfall event duration, rainfall event ARI (magnitude) and land-use development condition have considerable effects of the surface runoff hydrographs in terms of peak discharge and volume.
Students-t test is the most popular statistical test. The test compares two mean values to judge if they are different or not. For small data it is possible to conduct it using manual calculation – however that is not the case. Researchers would need to use statistical software and packages to conduct their analysis. This guide will help the junior researchers to conduct independent- and paired-t test using STATA software.
Introduction: The purpose of this article is to review the definitions of food security and food insecurity as well as the concepts related to food security.
Methodology: This is a systematic review on a few papers, research, and articles according to studies and research by various organizations, experts, scholars on food security in developed and developing countries.
Result: The first definition of food security was given to reflect the comprehensive concerns on the availability of world food supplies. The definition was expanded to incorporate accessibility of food for all people at all times. Then, the complex definitions of food security incorporated food accessibility and availability as well as the quality of food intake. Latest definition integrates the social aspect of food that should be accessed in a socially acceptable way. Broad definition of food insecurity and several terms that closely related were also discovered. The four main concepts of food security from these definitions were identified; availability, accessibility, acceptability and adequacy. These concepts of food security are relevant to micro, meso and macro levels of social and administrative organizations. Conclusion: Understanding definitions and concepts of food security can assist researchers, policy makers and program implementers to conduct research that address the issues of food security.
The role of science and technology (S&T) in preventing disasters and building resilience to climate change is featured in this paper, drawing primarily on the presentations and discussion of researchers, practitioners and policy makers from 31 institutions in 17 countries during the Workshop on Natural Disasters and Climate Change in Asia, held on 5–7 November 2012 in Bangi, Malaysia. Issues highlighted include advances in climate modelling and weather forecasts, with emphasis on information gaps; hazards and its cascading effects, focusing on current research and approaches; and the potential for land-based mitigation-adaptation strategies. Progress in mobilizing S&T to support disaster prevention and climate resilience is hindered by factors such as absence or lack of research, incomplete and non-existent scientific records, restricted access to data and capacity to innovate and transmit S&T, among others. The establishment of an Asian Network for Climate Science and Technology is proposed to provide and facilitate exchange of information and aid development of research co-ordination projects led by Asian researchers and possibly to act as a one-stop repository of global climate change related research too. The scope of the network would cover climate research with particular relevance to disaster resilience, including scientific capacity, which is all very distinct in Asia.
Welding process is most widely used in joining components or structures in industry. Although welding is part of a larger category called metals joining, the weld itself still gives significant problems to engineers, researchers and manufacturers until today. Several widely used welding processes, such as the Metal Inert Gas (MIG), Tungsten Inert Gas (TIG), and Manual Metal Arc (MMA), were studied. In the present paper, the characterization of the macrostructure, microstructure, hardness and residual stress distribution are highlighted and discussed to achieve a better understanding of the welded quality which is crucial in determining the welded products.
Assembly line balancing is well-known in mass production system but this problem is non-deterministicpolynomial-time(NP)-hard, even for a simple straight line. Although several heuristic methods havebeen introduced and used by researchers, knowing and using an effective method in solving these typesof problems in less computational time have a considerable place in the area of line balancing problem.In this research, a new heuristic approach, known as critical node method (CNM), was introduced andtested by solving several test problems available in the literature so as to solve straight assembly lines.Finally, the obtained results are compared with 9 other heuristic rules in some performance measures.Thus, it is concluded that the proposed CNM is better than the rest in all the measures.
One of the most common reasons why researchers seek help from statistician is sample size calculation. However despite the common believe that it only involves formula and calculation, researchers often ignore other aspects of research design that leads to proper sample size calculation. In this article, the author outlines basic steps toward sample size calculation. The author also introduces the logic behind sample size calculation for single mean and single proportion in simplified and less intimidating forms to those not statistically inclined.
INTRODUCTION AND OBJECTIVE:
Most of important variables measured in medicine are in numerical forms or continuous in nature. New instruments and tests are constantly being developed for the purpose of measuring various variables, with the aim of providing cheaper, non-invasive, more convenient and safe methods. When a new method of measurement or instrument is invented, the quality of the instrument has to be assessed. Agreement and reliability are both important parameters in determining the quality of an instrument. This article will discuss some issues related to methods comparison study in medicine for the benefit of medical professional and researcher.
METHOD:
This is a narrative review and this article review the most common statistical methods used to assess agreement and reliability of medical instruments that measure the same continuous outcome. The two methods discussed in detail were the Bland-Altman Limits of Agreement, and Intra-class Correlation Coefficient (ICC). This article also discussed some issues related to method comparison studies including the application of inappropriate statistical methods, multiple statistical methods, and the strengths and weaknesses of each method. The importance of appropriate statistical method in the analysis of agreement and reliability in medicine is also highlighted in this article.
CONCLUSION:
There is no single perfect method to assess agreement and reliability; however researchers should be aware of the inappropriate methods that they should avoid when analysing data in method comparison studies. Inappropriate analysis will lead to invalid conclusions and thus validated instrument might not be accurate or reliable. Consequently this will affect the quality of care given to a patient.
The analysis of the spatial data has been carried out in many disciplines such as demography, meteorology, geology and remote sensing. The spatial data modelling is important because it recognizes the phenomenon of spatial correlation in field experiments. Three main categories of the spatial models, namely, the simultaneous autoregressive (SAR) models (Whittle, 1954), the conditional autoregressive (CAR) models (Bartlett, 1971), and the moving average (MA) models (Haining, 1978) have been studied. Whittle (1954) presented a form of bilateral autoregressive (AR) models, whereas Basu and Reinsel (1993) considered the first-order autoregressive moving average (ARMA) model of the quadrant type. Awang, N. and Mahendran Shitan (2003) presented the second-order ARMA model, and established some explicit stationary conditions for the model. When fitting the spatial models and making prediction, it is assumed that, the properties of the process would not change with sites. Properties like stationarities have to be assumed, and for this reason, it was therefore imperative that the researchers had made certain that the process was stationary. This could be achieved by providing the explicit stationarity conditions for the model. The explicit conditions, for a stationary representation of the second-order spatial unilateral ARMA model denoted as ARMA(2,1;2,1), have been established (Awang, N. and Mahendran Shitan, 2003) and in this paper, some explicit conditions are established for a stationary representation of the second-order spatial unilateral ARMA model, denoted as ARMA(2,2;2,2).
Urban Transit Network Design Problem (UTNDP) focuses on deriving useful set of
routes, manageable timetabling for each transit route and transit scheduling based on
available resources. UTNDP is commonly subdivided into Urban Transit Routing
Problem (UTRP) and Urban Transit Scheduling Problem (UTSP), respectively. There are
various approaches applied to solve the UTSP. The aim of this paper is to give a
comprehensive list of studies on UTSP that deals with metaheuristic approaches such
as Tabu Search, Simulated Annealing, Genetic Algorithm and their hybrid methods. This
review also addressed possible gaps of the approaches and the limitations of the
overall problem. It can be concluded that only some of the metaheuristic approaches
and sub-problems are highly studied in UTSP. This review will be useful for researchers
who are interested in expanding their knowledge and conduct research in UTSP using
metaheuristic approaches.
Nowadays, intelligent vehicles have received a considerable attention among the
researchers to reduce the number of collisions and road accidents. One of the
challenging tasks for these vehicles is road lane detection or road boundaries
detection. In this research, a lane detection algorithm was developed to detect the
right and left lane markers on the road by using two cameras which act as a stereo
vision for the system. It is based on edge detection by using Canny Edge Detection to
reduce unnecessary data on the images and to perform features recognition for the
lane. After the features has been extracted, the algorithm is followed by Hough
Transform method to generate the detected lines on the image obtained from the
stereo vision camera. The algorithm has to work in different environment to be used
in real world applications. The stereo vision algorithm is implemented to generate
disparity map of area. This helps to gain more information on environment, such as the
estimated distance of the lines, the distance of the vehicle to the turns. The experiment
result shows the detection of right and left lane on the road with disparity map to
determine an estimate of the distance of detected lanes from the stereo vision camera.
Facility Layout Problem (FLP) is a NP-hard problem concerned with the arrangement of facilities as to minimize the distance travelled between all pairs of facilities. Many exact and approximate approaches have been proposed with an extensive applicability to deal with this problem. This paper studies the fundamentals of some well-known heuristics and metaheuristics used in solving the FLPs. It is hoped that this paper will trigger researchers for in-depth studies in FLPs looking into more specific interest such as equal or unequal FLPs.
Several modern treatment strategies have been adopted to combat cancer with the aim of minimizing toxicity. Medicinal plant-based compounds with the potential to treat cancer have been widely studied in preclinical research and have elicited many innovations in cutting-edge clinical research. In parallel, researchers have eagerly tried to decrease the toxicity of current chemotherapeutic agents either by combining them with herbals or in using herbals alone. The aim of this article is to present an update of medicinal plants and their bioactive compounds, or mere changes in the bioactive compounds, along with herbal edibles, which display efficacy against diverse cancer cells and in anticancer therapy. It describes the basic mechanism(s) of action of phytochemicals used either alone or in combination therapy with other phytochemicals or herbal edibles. This review also highlights the remarkable synergistic effects that arise between certain herbals and chemotherapeutic agents used in oncology. The anticancer phytochemicals used in clinical research are also described; furthermore, we discuss our own experience related to semisynthetic derivatives, which are developed based on phytochemicals. Overall, this compilation is intended to facilitate research and development projects on phytopharmaceuticals for successful anticancer drug discovery.
Robotic navigation has remained an open issue through the last two decades. Mobile robot
is required to navigate safely to goal location in presence of obstacles. Recently the use of mobile
robot in unknown dynamic environment has significantly increased. The aim of this paper is to offer a
comprehensive review over different approaches to mobile robots in dynamic environments,
particularly on how they solve many issues that face the researchers recently. This paper also explains
the advantages and drawbacks of each reviewed paper. The authors decide to categorize these articles
based on the entire content of each paper into ten common challenges which have been discussed in
this paper, including: traveling distance, traveling time, safety, motion control, smooth path, future
prediction, stabilization, competence, precision, and low computation cost. Finally, some open areas
and challenging topics are offered according to the articles mentioned.
The present research sought to examine the teamwork performance among AIM microcredit
participants based on Tuckman (1965) model. Hence, the author elaborates the level of teamwork
process such as forming, norming, storming and performing in a group among AIM participant in
Daerah Hulu Langat. The AIM is replication of the Grameen Bank approach in Malaysia and the
teamwork concept was apply which is the scheme must be apply in a group and not in individual. Selfadministrative
questionnaire was applied to conduct a data collection and a sample of 160 respondents
among participant from Sungai Gabai, Sungai Ramal, Sungai Chua, Sungai Tangkas, Bukit Mewah,
Semenyih and Sungai Jelok in Kajang were chosen based on stratified and simple random sampling
techniques to complete the survey. Researcher suggests the finding indicate that the high level stage in
teamwork process is forming, storming and performing stage. Only norming stage was in moderate
level. Consequently, high and positive teamwork resulted efficiencies in the microfinance group.
Teamwork with the right process can achieved positive outcome among AIM microcredit participants.
Climate changes have become serious issues that have been widely discussed by researchers. One of the issues concerns with the study in changes of rainfall patterns. Changes in rainfall patterns affect the dryness and wetness conditions of a region. In this study, the three-dimensional loglinear model was used to fit the observed frequencies and to model the expected frequencies of wet class transition on eight rainfall stations in Peninsular Malaysia. The expected frequency values could be employed to determine the odds value of wet classes of each station. Further, the odds values were used to estimate the wet class of the following month if the wet class of the previous month and current month were identified. The wet classification based on SPI index (Standardized Precipitation Index). For station that was analyzed, there was no difference found were between estimated and observed wet classes. It was concluded that the loglinear models can be used to estimate the wetness classes through the estimates of odds values.
This study explores whether differences in levels of psychological well-being exist between the Orang Asli in Pertak and those in Gerachi Jaya. Field studies were conductecl on orang Asli in both these villages by using structured interviews. Psychological well-being questionnaires were modified by the researcher based on the Psychological Well-being Scale (Ryff 1989). Psychological well-being was measured in terms of autonomy, control environment, personal development and positive relationships. This study involved 40 Orang Asli from Gerachi City and 35 Orang Asli from Pertak. Data were analyzed with SPSS software using t-tests. Results show that the levels of psychological well-being between the two groups were not significantly different (t= 0.339, k> 0.05). Implications are also discussed.
Tool life of the cutting tools is considered as one of the factors which has effects on machining costs and the quality of machined parts. The topic of tool life prediction has been an interesting and important research topic attracting the attention of a wide number of researchers in this particular area. In terms of the suitable methods used in this research topic, it is stated that both statistical and artificial intelligence (AI) approaches can be employed to model tool life. For further justifying the capability of the ANN model in predicting tool life, the current study was based on conducting experimental work for collecting the experimental data. After carrying out the experiment, 17 data sets were collected and they were divided into two subsets; the first one for training and the second for testing. Since the data sets seemed to be lower than the number of data sets used in previous studies, we attempted to make verification of the ability of the ANN model in learning and adapting with low training and testing data. Diverse topologies accompanied with single and two hidden layers were created for modeling the tool life. For choosing the best and most effective network, the study adopted the mean square error function as criteria for the evaluation of the network selection. Thus, based on the data generated from the same experiment, a regression model (RM) was constructed employing the SPSS software. A comparison between the ANN model and RMs in terms of their accuracy was carried out and the findings revealed that the accuracy of the ANN was higher than that of the RM.
The aim of researchers when comparing two independent groups is to collect large normally distributed samples unless they lack the resources to access them. In these situations, there are a myriad of non-parametric tests to select, of which the Mann Whitney U test is the most commonly used. In spite of its great advantages of usage, the U test is capable of producing inflated Type I error when applied in situation of heterogeneity or distinct variances. This current study will present a viable alternative called the refined Mann-Whitney test (RMW). A Monte Carlo evaluation test is conducted on RMW using artificial data of various combinations of extreme test conditions. This study reviews that the RMW test justified its development by enhancing the performance of the U test. The RMW test is able to control well its Type I error rates even though it has a lower power.