Displaying publications 21 - 40 of 302 in total

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  1. Fulltext Teaching and learning in workplace: contemporary perspectives
    Bhardwaj A, Nagandla K, Das Gupta E, Ibrahim S
    Education in Medicine Journal, 2015;7(3):67-72.
    MyJurnal
    Workplace learning is essentially informal that is unstructured, unintended and opportunistic from educational view point. Recall of factual knowledge and applying skills is central in workplace so learning becomes meaningful and evidence based. To maximise their learning, the learners must take active participation in their own learning, set goals and march towards achieving these goals. The objective of the teacher at this juncture is obliging to the needs of the learners and of the patients. This review aims to address the teaching and learning theories that impact the workplace learning, factors influencing workplace based learning, identifying opportunities for learning to occur parallel with work and strategies that maximise successful workplace learning.
    Matched MeSH terms: Goals
  2. Fulltext A comparative study on standard, modified and chaotic firefly algorithms
    Hong, Choon Ong, Tilahun, Surafel Luleseged, Tang, Suey Shya
    Pertanika Journal of Science & Technology, 2015;23(2):251-269.
    MyJurnal
    Many studies have been carried out using different metaheuristic algorithms on optimisation problems in various fields like engineering design, economics and routes planning. In the real world, resources and time are scarce. Thus the goals of optimisation algorithms are to optimise these available resources. Different metaheuristic algorithms are available. The firefly algorithm is one of the recent metaheuristic algorithms that is used in many applications; it is also modified and hybridised to improve its performance. In this paper, we compare the Standard Firefly Algorithm, the Elitist Firefly Algorithm, also called the Modified Firefly Algorithm with the Chaotic Firefly Algorithm, which embeds chaos maps in the Standard Firefly Algorithm. The Modified Firefly Algorithm differs from the Standard Firefly Algorithm in such a way that the global optimum solution at a particular iteration will not move randomly but in a direction that is chosen from randomly generated directions that can improve its performance. If none of these directions improves its performance, then the algorithm will not be updated. On the other hand, the Chaotic Firefly Algorithm tunes the parameters of the algorithms for the purpose of increasing the global search mobility i.e. to improve the attractiveness of fireflies. In our study, we found that the Chaotic Firefly Algorithms using three different chaotic maps do not perform as well as the Modified Firefly Algorithms; however, at least one or two of the Chaotic Firefly Algorithms outperform the Standard Firefly Algorithm under the given accuracy and efficiency tests.
    Matched MeSH terms: Goals
  3. Fulltext Anatomical Alterations Following Resurfacing Hip Arthroplasty
    Sivananthan, K., Drabu, K.J.
    Malays Orthop J, 2009;3(1):42-45.
    MyJurnal
    The number of hip replacement procedures in the United States is expected to increase four-fold by 2030. Younger patients, those under 65 years old, are expected to account for 53% of hip replacements in 2030, compared to 44% in 2005. As midterm review results are becoming available worldwide now, the problem that perplexes surgeons is the alteration of limb length which has been an ancillary goal of Total Hip Replacements. The lack of modularity in neck lengths and offsets in resurfacing arthroplasty clearly limits the change in limb lengths achievable for the hip. The goal of this study is to scrutinize the various parameters that affect implant seating in resurfacing arthroplasty and to determine the alteration of limb length achievable during surgery.
    Matched MeSH terms: Goals
  4. Fulltext An accurate rejection model for false positive reduction of mass localisation in Mammogram
    Ashwaq Qasem, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran, Rizuana Iqbal Hussain, Fuad Ismail
    Pertanika Journal of Science & Technology, 2017;25(106):49-62.
    MyJurnal
    The false positive (FP) is an over-segment result where the noncancerous pixel is segmented as a cancer pixel. The FP rate is considered a challenge in localising masses in mammogram images. Hence, in this article, a rejection model is proposed by using a supervised learning method in mass classification such as support vector machine (SVM). The goal of the rejection model which is based on SVM is the reduction of FP rate in segmenting mammogram through the Chan-Vese method, which is initialised by the marker controller watershed (MCWS) algorithm. The MCWS algorithm is utilised for segmentation of a mammogram image. The segmentation is subsequently refined through the Chan-Vese method, followed by the development of the proposed SVM rejection model with different window size as well as its application in eliminating incorrect segmented nodules. The dataset comprised of 57 nodules and 113 non-nodules and the study successfully proved the effectiveness of the SVM rejection model to decrease the FP rate.
    Matched MeSH terms: Goals
  5. Fulltext The advantages of concept mapping care plan in clinical practices
    Rusnani Ab Latif, Akehsan Dahlan, Zamzaliza Abdul Mulud, Mohd Zarawi Mat Nor
    The Malaysian Journal of Nursing, 2017;9(2):52-57.
    MyJurnal
    Excellence in academic and practical skills is the main goal of most nursing educators. It is a tool to measure the level of success of the nurse educators. Concept mapping care plan is related to the expectation that today's nursing students must master a constantly expanding body of knowledge and apply complex skills in rapidly changing environment. Concept mapping care plan was developed by researcher and validated by ten expert panels using three rounds of Delphi technique. It was used to evaluate academic performance of nursing students at clinical practice. Concept mapping care plan is a good assessment tool to nursing educators to prepare nursing students for better critical thinking and expected to function effectively after graduation. The goal of concept mapping care plan as a teaching strategy during the clinical practices, help the students to integrate the knowledge from theory and implementing this knowledge in the clinical setting. Researcher believes that concept mapping care plan can be as a replacement of nursing process that have been practiced before in the clinical setting. In addition, through concept mapping care plan provides an opportunity for students to broaden their knowledge and become more creative.
    Matched MeSH terms: Goals
  6. Fulltext Employment of patients with multiple sclerosis: the influence of psychosocial-structural coping and context
    Vijayasingham L, Mairami FF
    Degener Neurol Neuromuscul Dis, 2018;8:15-24.
    PMID: 30050385 DOI: 10.2147/DNND.S131729
    Patients with multiple sclerosis tend to report higher levels of work difficulties and negative outcomes, such as voluntary and involuntary work termination and reduced work participation. In this article, we discuss the complex interactions of disease, personal coping strategies, and social and structural factors that contribute to their work experiences and outcomes. An overview of the coping strategies and actions that leverage personal and context-level factors and dynamics is also provided to support the overall goal of continued work in patients with MS.
    Matched MeSH terms: Goals
  7. Fulltext Advocating collaborative teaching and learning in dentistry
    Mas Suryalis Ahmad
    Malaysian Dental Journal, 2016;39(1):1-8.
    MyJurnal
    Collaborative teaching is an educational approach that seeks to involve participation of teachers and learners in achieving learning goals and outcomes in an interactive manner (1). Such approach has been effective in equipping students with knowledge and/or skills via high levels of learning, while allowing interpersonal development such as teamwork, time management, as well as communication and written competencies (2, 3). (Copied from article)
    Matched MeSH terms: Goals
  8. Fulltext Obstacles avoidance mobile robot system in uncertain and everchanging surroundings
    Farah Kamil, Tang, S.H., Zulkifli, N., Ahmad, S.A., Khaksar, W.
    The Pertanika Journal of Scholarly Research Reviews, 2016;2(2):103-120.
    MyJurnal
    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.
    Matched MeSH terms: Goals
  9. Hardware Implementation of Multiple Fan Beam Projection Technique in Optical Fibre Process Tomography
    Rahim RA, Rahiman MH, Chen LL, San CK, Fea PJ
    Sensors (Basel), 2008 May 23;8(5):3406-3428.
    PMID: 27879885
    The main objective of this project is to implement the multiple fan beam projection technique using optical fibre sensors with the aim to achieve a high data acquisition rate. Multiple fan beam projection technique here is defined as allowing more than one emitter to transmit light at the same time using the switch-mode fan beam method. For the thirty-two pairs of sensors used, the 2-projection technique and 4- projection technique are being investigated. Sixteen sets of projections will complete one frame of light emission for the 2-projection technique while eight sets of projection will complete one frame of light emission for the 4-projection technique. In order to facilitate data acquisition process, PIC microcontroller and the sample and hold circuit are being used. This paper summarizes the hardware configuration and design for this project.
    Matched MeSH terms: Goals
  10. Arrhythmia detection using deep convolutional neural network with long duration ECG signals
    Yıldırım Ö, Pławiak P, Tan RS, Acharya UR
    Comput Biol Med, 2018 11 01;102:411-420.
    PMID: 30245122 DOI: 10.1016/j.compbiomed.2018.09.009
    This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection based on long-duration electrocardiography (ECG) signal analysis. Cardiovascular disease prevention is one of the most important tasks of any health care system as about 50 million people are at risk of heart disease in the world. Although automatic analysis of ECG signal is very popular, current methods are not satisfactory. The goal of our research was to design a new method based on deep learning to efficiently and quickly classify cardiac arrhythmias. Described research are based on 1000 ECG signal fragments from the MIT - BIH Arrhythmia database for one lead (MLII) from 45 persons. Approach based on the analysis of 10-s ECG signal fragments (not a single QRS complex) is applied (on average, 13 times less classifications/analysis). A complete end-to-end structure was designed instead of the hand-crafted feature extraction and selection used in traditional methods. Our main contribution is to design a new 1D-Convolutional Neural Network model (1D-CNN). The proposed method is 1) efficient, 2) fast (real-time classification) 3) non-complex and 4) simple to use (combined feature extraction and selection, and classification in one stage). Deep 1D-CNN achieved a recognition overall accuracy of 17 cardiac arrhythmia disorders (classes) at a level of 91.33% and classification time per single sample of 0.015 s. Compared to the current research, our results are one of the best results to date, and our solution can be implemented in mobile devices and cloud computing.
    Matched MeSH terms: Goals
  11. Efficient Deployment of Multi-UAVs in Massively Crowded Events
    Sawalmeh A, Othman NS, Shakhatreh H
    Sensors (Basel), 2018 Oct 26;18(11).
    PMID: 30373204 DOI: 10.3390/s18113640
    In this paper, the efficient 3D placement of UAV as an aerial base station in providing wireless coverage for users in a small and large coverage area is investigated. In the case of providing wireless coverage for outdoor and indoor users in a small area, the Particle Swarm Optimization (PSO) and K-means with Ternary Search (KTS) algorithms are invoked to find an efficient 3D location of a single UAV with the objective of minimizing its required transmit power. It was observed that a single UAV at the 3D location found using the PSO algorithm requires less transmit power, by a factor of 1/5 compared to that when using the KTS algorithm. In the case of providing wireless coverage for users in three different shapes of a large coverage area, namely square, rectangle and circular regions, the problems of finding an efficient placement of multiple UAVs equipped with a directional antenna are formulated with the objective to maximize the coverage area and coverage density using the Circle Packing Theory (CPT). Then, the UAV efficient altitude placement is formulated with the objective of minimizing its required transmit power. It is observed that the large number of UAVs does not necessarily result in the maximum coverage density. Based on the simulation results, the deployment of 16, 19 and 26 UAVs is capable of providing the maximum coverage density of 78.5%, 82.5% and 80.3% for the case of a square region with the dimensions of 2 km × 2 km, a rectangle region with the dimensions of 6 km × 1.8 km and a circular region with the radius of 1.125 km, respectively. These observations are obtained when the UAVs are located at the optimum altitude, where the required transmit power for each UAV is reasonably small.
    Matched MeSH terms: Goals
  12. Addressing female genital mutilation in the Asia Pacific: the neglected sustainable development target
    Dawson A, Rashid A, Shuib R, Wickramage K, Budiharsana M, Hidayana IM, et al.
    Aust N Z J Public Health, 2020 Feb;44(1):8-10.
    PMID: 31825567 DOI: 10.1111/1753-6405.12956
    Matched MeSH terms: Goals
  13. Customer Satisfaction and Expectation Approach on Regular Travel Package in Quality Service by Design Using Fuzzy Logic Controller
    Mohammad Nasir Saludin, Rika Fatimah Panjaitan
    Sains Malaysiana, 2004;33.
    There are a lot of factors and conditions to be considered by tour and travel companies when designing quality product due to the fact that the product being sold is intangible and their ultimate goal is to sustain customers' loyalty. Fuzzy Logic Controller (FLC) has been observed to be compatible to this 'intangible' factor thus giving better result when compared to other methods. By using FLC, all communications are clear and have precise meaning.
    Matched MeSH terms: Goals
  14. Fulltext Knowledge Preserving OSELM Model for Wi-Fi-Based Indoor Localization
    Al-Khaleefa AS, Ahmad MR, Isa AAM, Esa MRM, Aljeroudi Y, Jubair MA, et al.
    Sensors (Basel), 2019 May 25;19(10).
    PMID: 31130657 DOI: 10.3390/s19102397
    Wi-Fi has shown enormous potential for indoor localization because of its wide utilization and availability. Enabling the use of Wi-Fi for indoor localization necessitates the construction of a fingerprint and the adoption of a learning algorithm. The goal is to enable the use of the fingerprint in training the classifiers for predicting locations. Existing models of machine learning Wi-Fi-based localization are brought from machine learning and modified to accommodate for practical aspects that occur in indoor localization. The performance of these models varies depending on their effectiveness in handling and/or considering specific characteristics and the nature of indoor localization behavior. One common behavior in the indoor navigation of people is its cyclic dynamic nature. To the best of our knowledge, no existing machine learning model for Wi-Fi indoor localization exploits cyclic dynamic behavior for improving localization prediction. This study modifies the widely popular online sequential extreme learning machine (OSELM) to exploit cyclic dynamic behavior for achieving improved localization results. Our new model is called knowledge preserving OSELM (KP-OSELM). Experimental results conducted on the two popular datasets TampereU and UJIndoorLoc conclude that KP-OSELM outperforms benchmark models in terms of accuracy and stability. The last achieved accuracy was 92.74% for TampereU and 72.99% for UJIndoorLoc.
    Matched MeSH terms: Goals
  15. Fulltext An Octagonal Ring-shaped Parasitic Resonator Based Compact Ultrawideband Antenna for Microwave Imaging Applications
    Hossain A, Islam MT, Almutairi AF, Singh MSJ, Mat K, Samsuzzaman M
    Sensors (Basel), 2020 Mar 01;20(5).
    PMID: 32121477 DOI: 10.3390/s20051354
    An Ultrawideband (UWB) octagonal ring-shaped parasitic resonator-based patch antenna for microwave imaging applications is presented in this study, which is constructed with a diamond-shaped radiating patch, three octagonal, rectangular slotted ring-shaped parasitic resonator elements, and partial slotting ground plane. The main goals of uses of parasitic ring-shaped elements are improving antenna performance. In the prototype, various kinds of slots on the ground plane were investigated, and especially rectangular slots and irregular zigzag slots are applied to enhance bandwidth, gain, efficiency, and radiation directivity. The optimized size of the antenna is 29 × 24 × 1.5 mm3 by using the FR-4 substrate. The overall results illustrate that the antenna has a bandwidth of 8.7 GHz (2.80 ̶ 11.50 GHz) for the reflection coefficient S11 < -10 dB with directional radiation pattern. The maximum gain of the proposed prototype is more than 5.7 dBi, and the average efficiency over the radiating bandwidth is 75%. Different design modifications are performed to attain the most favorable outcome of the proposed antenna. However, the prototype of the proposed antenna is designed and simulated in the 3D simulator CST Microwave Studio 2018 and then effectively fabricated and measured. The investigation throughout the study of the numerical as well as experimental data explicit that the proposed antenna is appropriate for the Ultrawideband-based microwave-imaging fields.
    Matched MeSH terms: Goals
  16. Fulltext Bipedal humanoid robot
    Zayer, Iman, Aris, I.B., Marhaban, M.H, Ishak, A.J
    The Pertanika Journal of Scholarly Research Reviews, 2018;4(3):0-0.
    MyJurnal
    The new millennium witnessed increasing attention to the field of robotics, especially the development of humanoid bipedal robot. Attention is noticed from the increasing number of publications as a result of a multitude of humanoid projects for commercial and academic goals. This paper briefly visits the recent activities in this field, highlighting the importance and motivation behind adopting bipedal humanoid projects, particularly underlining biologically inspired design concept, bipedal locomotion and communication. Ultimately, emphasising on power-efficient design. The problem of endurance and effective duty cycle were presented. Finally, potential future application for the humanoid robot was briefly listed.
    Matched MeSH terms: Goals
  17. Statistical models for brain signals with properties that evolve across trials
    Ombao H, Fiecas M, Ting CM, Low YF
    Neuroimage, 2018 Oct 15;180(Pt B):609-618.
    PMID: 29223740 DOI: 10.1016/j.neuroimage.2017.11.061
    Most neuroscience cognitive experiments involve repeated presentations of various stimuli across several minutes or a few hours. It has been observed that brain responses, even to the same stimulus, evolve over the course of the experiment. These changes in brain activation and connectivity are believed to be associated with learning and/or habituation. In this paper, we present two general approaches to modeling dynamic brain connectivity using electroencephalograms (EEGs) recorded across replicated trials in an experiment. The first approach is the Markovian regime-switching vector autoregressive model (MS-VAR) which treats EEGs as realizations of an underlying brain process that switches between different states both within a trial and across trials in the entire experiment. The second is the slowly evolutionary locally stationary process (SEv-LSP) which characterizes the observed EEGs as a mixture of oscillatory activities at various frequency bands. The SEv-LSP model captures the dynamic nature of the amplitudes of the band-oscillations and cross-correlations between them. The MS-VAR model is able to capture abrupt changes in the dynamics while the SEv-LSP directly gives interpretable results. Moreover, it is nonparametric and hence does not suffer from model misspecification. For both of these models, time-evolving connectivity metrics in the frequency domain are derived from the model parameters for both functional and effective connectivity. We illustrate these two models for estimating cross-trial connectivity in selective attention using EEG data from an oddball paradigm auditory experiment where the goal is to characterize the evolution of brain responses to target stimuli and to standard tones presented randomly throughout the entire experiment. The results suggest dynamic changes in connectivity patterns over trials with inter-subject variability.
    Matched MeSH terms: Goals
  18. Fulltext A railway rescheduling model with priority setting
    Shuib, A., Alwadood, Z.
    Pertanika Journal of Science & Technology, 2017;25(2):649-660.
    MyJurnal
    This paper presents a mathematical approach to solve railway rescheduling problems. The approach assumes that the trains are able to resume their journey after a given time frame of disruption whereby The train that experiences disruption and trains affected by the incident are rescheduled. The approach employed mathematical model to prioritise certain types of train according the railway operator’s requirement. A pre-emptive goal programming model was adapted to find an optimal solution that satisfies the operational constraints and the company’s stated goals. Initially, the model minimises the total service delay of all trains while adhering to the minimum headway requirement and track capacity. Subsequently, it maximises the train service reliability by only considering the trains with delay time window of five minutes or less. The model uses MATLAB R2014a software which automatically generates the optimal solution of the problem based on the input matrix of constraints. An experiment with three incident scenarios on a double-track railway of local network was conducted to evaluate the performance of the proposed model. The new provisional timetable was produced in short computing time and the model was able to prioritise desired train schedule.
    Matched MeSH terms: Goals
  19. Fulltext Goals, challenges and strategies for wound and bleeding management in total knee arthroplasty: A modified Delphi method
    Lyons M, Nunley RM, Ahmed Shokri A, Doneley T, Han HS, Harato K, et al.
    J Orthop Surg (Hong Kong), 2022;30(3):10225536221138985.
    PMID: 36374258 DOI: 10.1177/10225536221138985
    BACKGROUND: Surgical techniques related to soft tissue management play critical roles in optimizing surgical outcomes and patient satisfaction in total knee arthroplasty (TKA). Despite the importance of wound closure and bleeding management approaches, no published guidelines/consensus are available.

    METHODS: Twelve orthopedic surgeons participated in a modified Delphi panel consisting of 2 parts (each part comprising two rounds) from September-October 2018. Questionnaires were developed based on published evidence and guidelines on surgical techniques/materials. Questionnaires were administered via email (Round 1) or at a face-to-face meeting (subsequent rounds). Panelists ranked their agreement with each statement on a five-point Likert scale. Consensus was achieved if ≥70% of panelists selected 4/5, or 1/2. Statements not reaching consensus in Round 1 were discussed and repeated or modified in Round 2. Statements not reaching consensus in Round 2 were excluded from the final consensus framework.

    RESULTS: Consensus was reached on 13 goals of wound management. Panelists agreed on 38 challenges and 71 strategies addressing surgical techniques or wound closure materials for each tissue layer, and management strategies for blood loss reduction or deep vein thrombosis prophylaxis in TKA. Statements on closure of capsular and skin layers, wound irrigation, dressings and drains required repeat voting or modification to reach consensus.

    CONCLUSION: Consensus from Asia-Pacific TKA experts highlights the importance of wound management in optimizing TKA outcomes. The consensus framework provides a basis for future research, guidance to reduce variability in patient outcomes, and can help inform recommendations for wound management in TKA.

    Matched MeSH terms: Goals
  20. Promoting physical activity with goal-oriented mental imagery: a randomized controlled trial
    Chan CK, Cameron LD
    J Behav Med, 2012 Jun;35(3):347-63.
    PMID: 21695405 DOI: 10.1007/s10865-011-9360-6
    Self-regulation theory and research suggests that different types of mental imagery can promote goal-directed behaviors. The present study was designed to compare the efficacy of approach imagery (attainment of desired goal states) and process imagery (steps for enacting behavior) in promoting physical activity among inactive individuals. A randomized controlled trial was conducted with 182 inactive adults who received one of four interventions for generating mental images related to physical activity over a 4-week period, with Approach Imagery (approach versus neutral) and Process Imagery (process versus no process) as the intervention strategies. Participants received imagery training and practiced daily. Repeated measures ANOVAs revealed that Approach Imagery: (1) increased approach motivations for physical activity at Week 4; (2) induced greater intentions post-session, which subsequently induced more action planning at Week 4; (3) enhanced action planning when combined with process images at post-session and Week 1; and (4) facilitated more physical activity at Week 4 via action planning. These findings suggest that inducing approach orientation via mental imagery may be a convenient and low-cost technique to promote physical activity among inactive individuals.
    Matched MeSH terms: Goals*
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