Displaying publications 81 - 100 of 556 in total

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  1. Abdul Latif R, Idrus MF
    MyJurnal DOI: 10.37134/jsspj.vol9.2.1.2020
    Music can give influence on a lot of thing. It was known as one of the sources for entertainment. It has been classified to regulate emotion, grab attention, for lift the spirit and increased work output. Nowadays, people love listening to music believed that it entertains them and thus helps to motivate the person to continue the activity. The aim of this study was to determine the differences music tempo towards emotion among gym users in UiTM Seremban 3. Sixty participants, which were gym users that attended to the gym in UiTM Seremban 3. Subjects were randomly assigned into three different groups (n=20 in each). Group 1 fast tempo (>120 bpm), group2 slow tempo (
    Matched MeSH terms: Attention
  2. Bangash KA, Kazmi SAA, Farooq W, Ayub S, Musarat MA, Alaloul WS, et al.
    Micromachines (Basel), 2021 May 05;12(5).
    PMID: 34062988 DOI: 10.3390/mi12050518
    The polymer solar cells also known as organic solar cells (OSCs) have drawn attention due to their cynosure in industrial manufacturing because of their promising properties such as low weight, highly flexible, and low-cost production. However, low η restricts the utilization of OSCs for potential applications such as low-cost energy harvesting devices. In this paper, OSCs structure based on a triple-junction tandem scheme is reported with three different absorber materials to enhance the absorption of photons which in turn improves the η, as well as its correlating performance parameters. The investigated structure gives the higher value of η = 14.33% with Jsc = 16.87 (mA/m2), Voc = 1.0 (V), and FF = 84.97% by utilizing a stack of three different absorber layers with different band energies. The proposed structure was tested under 1.5 (AM) with 1 sun (W/m2). The impact of the top, middle, and bottom subcells' thickness on η was analyzed with a terse to find the optimum thickness for three subcells to extract high η. The optimized structure was then tested with different electrode combinations, and the highest η was recorded with FTO/Ag. Moreover, the effect of upsurge temperature was also demonstrated on the investigated schematic, and it was observed that the upsurge temperature affects the photovoltaic (PV) parameters of the optimized cell and η decreases from 14.33% to 11.40% when the temperature of the device rises from 300 to 400 K.
    Matched MeSH terms: Attention
  3. Rahmandoust M, Ochsner A
    J Nanosci Nanotechnol, 2012 Oct;12(10):8129-36.
    PMID: 23421189
    In this study, Single-Walled and Multi-Walled Carbon Nanotubes in their perfect forms were investigated by the Finite Element Method. Details on the modeling of the structure are provided in this paper, including the appropriate elements, the element properties that should be defined based on the atomic structure of Carbon Nanotubes and the corresponding chemical bonds. Non-covalent van der Waals interactions between two neighbor atoms as well as the required approximations for the modeling of the structures with this kind of interaction are also presented. Specific attention was dedicated to the necessity of using some time- and energy-consuming steps in the simulation process. First, the effect of simulating only a single ring of the whole structure is studied to find out if it would represent the same mechanical behavior as the long structure. Results show that by applying an appropriate set of boundary conditions, the stiffness of the shortened structure is practically equal to the long perfect structure. Furthermore, Multi-Walled Carbon Nanotube structures with and without defining the van der Waals force are studied. Based on the observations, applying the van der Waals force does not significantly influence the obtained Young's modulus of the structure in the case of a uniaxial tensile test.
    Matched MeSH terms: Attention
  4. Mansor NS, Chow CM, Halaki M
    Aging Ment Health, 2020 06;24(6):841-856.
    PMID: 30784296 DOI: 10.1080/13607863.2019.1574710
    The growing interest in preserving cognition through video games in the ageing population is evidenced by its wealth of literature. However, there has been a lack of consensus on video games efficacy and even limited understanding on the factors moderating its effectiveness. The present review sought to evaluate video game effects, relative to no-game control condition, on cognitive functions in older adults. The functions included processing speed, attention, delayed memory, reasoning, and executive functions (inhibition, shifting and updating memory). Personal and methodological moderators were explored to explain the variability in cognitive effects using meta-regression. Through a systematic literature search of online databases, 27 intervention studies were eligible, with a total of 1126 participants, for analysis. Using random-effect models, small but significant training effects were found on updating memory but none were detected in other cognitive functions. The heterogeneity across studies was in general high for all cognitive functions and was partially accounted for, in all cognitive functions except for inhibition and updating, by different moderators such as the proportion of females, outcome measure parameters, training intensity, and game type. The findings highlight limited effects of video games on cognitive functions that were largely influenced by factors related to study design.
    Matched MeSH terms: Attention
  5. Zainal Baharum, Abdah Md Akim, Roslida Abdul Hamid, Taufiq Yap Yun Hin, Rosmin Kasran
    Trop Life Sci Res, 2016;27(1):21-42.
    MyJurnal
    Plants have been a good source of therapeutic agents for thousands of years;
    an impressive number of modern drugs used for treating human diseases are derived from
    natural sources. The Theobroma cacao tree, or cocoa, has recently garnered increasing
    attention and become the subject of research due to its antioxidant properties, which are
    related to potential anti-cancer effects. In the past few years, identifying and developing
    active compounds or extracts from the cocoa bean that might exert anti-cancer effects
    have become an important area of health- and biomedicine-related research. This review
    provides an updated overview of T. cacao in terms of its potential anti-cancer compounds
    and their extraction, in vitro bioassay, purification, and identification. This article also
    discusses the advantages and disadvantages of the techniques described and reviews the
    processes for future perspectives of analytical methods from the viewpoint of anti-cancer
    compound discovery.
    Matched MeSH terms: Attention
  6. Abdullahi M, Ngadi MA
    PLoS One, 2016;11(6):e0158229.
    PMID: 27348127 DOI: 10.1371/journal.pone.0158229
    Cloud computing has attracted significant attention from research community because of rapid migration rate of Information Technology services to its domain. Advances in virtualization technology has made cloud computing very popular as a result of easier deployment of application services. Tasks are submitted to cloud datacenters to be processed on pay as you go fashion. Task scheduling is one the significant research challenges in cloud computing environment. The current formulation of task scheduling problems has been shown to be NP-complete, hence finding the exact solution especially for large problem sizes is intractable. The heterogeneous and dynamic feature of cloud resources makes optimum task scheduling non-trivial. Therefore, efficient task scheduling algorithms are required for optimum resource utilization. Symbiotic Organisms Search (SOS) has been shown to perform competitively with Particle Swarm Optimization (PSO). The aim of this study is to optimize task scheduling in cloud computing environment based on a proposed Simulated Annealing (SA) based SOS (SASOS) in order to improve the convergence rate and quality of solution of SOS. The SOS algorithm has a strong global exploration capability and uses fewer parameters. The systematic reasoning ability of SA is employed to find better solutions on local solution regions, hence, adding exploration ability to SOS. Also, a fitness function is proposed which takes into account the utilization level of virtual machines (VMs) which reduced makespan and degree of imbalance among VMs. CloudSim toolkit was used to evaluate the efficiency of the proposed method using both synthetic and standard workload. Results of simulation showed that hybrid SOS performs better than SOS in terms of convergence speed, response time, degree of imbalance, and makespan.
    Matched MeSH terms: Attention
  7. Abousaeidi M, Fauzi R, Muhamad R
    Saudi J Biol Sci, 2016 Sep;23(5):555-64.
    PMID: 27579003 DOI: 10.1016/j.sjbs.2015.06.004
    This study involves the adoption of the Geographic Information System (GIS) modeling approach to determine the quickest routes for fresh vegetable delivery. During transport, fresh vegetables mainly deteriorate on account of temperature and delivery time. Nonetheless, little attention has been directed to transportation issues in most areas within Kuala Lumpur. In addition, perishable food normally has a short shelf life, thus timely delivery significantly affects delivery costs. Therefore, selecting efficient routes would consequently reduce the total transportation costs. The regression model is applied in this study to determine the parameters that affect route selection with respect to the fastest delivery of fresh vegetables. For the purpose of this research, ArcGIS software with network analyst extension is adopted to solve the problem of complex networks. The final output of this research is a map of quickest routes with the best delivery times based on all variables. The variables tested from regression analysis are the most effective parameters to make the flow of road networks slower. The objective is to improve the delivery services by achieving the least drive time. The main findings of this research are that Land use such as residential area and population as variables are the effective parameters on drive time.
    Matched MeSH terms: Attention
  8. Hany Mohamed Aly Ahmed, Deepti Saini
    Archives of Orofacial Sciences, 2012;7(2):101-106.
    MyJurnal
    Sufficient knowledge on the root and root canal anatomy is essential for practicing root canal treatment. The mesiobuccal roots of maxillary molar teeth present an endodontic challenge due to their wide variability and complexity of their internal morphological landmarks. A review on the literature indicates that the prevalence of a third mesiobuccal root canal in the mesiobuccal root of maxillary molar teeth may reach 9%, and the root canal configuration usually is type XV (3-2). These reported data reveal the importance of absolute awareness for this anatomical aberration that requires special attention from dental practitioners while commencing root canal treatment in maxillary molar teeth. Hence, this article aims to report and describe the management of a maxillary first molar tooth with three mesiobuccal root canals, but with an unusual configuration.
    Matched MeSH terms: Attention
  9. Ahmad Zaidee Laidin, Loganathan, P.
    ASM Science Journal, 2011;5(1):77-77.
    MyJurnal
    Awareness and sensitivity on the subject of green technology are currently commanding the attention of the world in the light of rising energy costs and the threat of global warming. Many countries are now recognizing the benefits of researching into and using green technology to reduce their carbon and water footprints and to minimize waste. (Copied from article).
    Matched MeSH terms: Attention
  10. Jindal MH, Le CF, Mohd Yusof MY, Sekaran SD
    JUMMEC, 2014;17(1):1-7.
    MyJurnal
    Antimicrobial peptides (AMPs) have gained increasing attention as a potential candidate in the development of novel antimicrobial agent. Designing AMPs with enhanced antimicrobial activity while reducing the cell toxicity level is desired especially against the antibiotic-resistant microbes. Various approaches towards the design of AMPs have been described and physicochemical properties of AMPs represent the primary factors determining the antimicrobial potency of AMPs. The most common parameters include net charge and hydrophobicity, which greatly influence the antimicrobial activity of AMPs. Moreover, certain amino acids would have critical importance in affecting the antimicrobial activity as well as cell cytotoxicity of AMPS. In this review, net charge, hydrophobicity, and specific amino acid residues were discussed as factors contributing to the antimicrobial activity of AMPs.
    Matched MeSH terms: Attention
  11. TAN, S. G., Adibah, A.B., LIEW, P. L.
    MyJurnal
    Known as ‘belangkas’ in Malaysia, horseshoe crabs have been used by locals for food, bait and as fertilizer. Currently, these ancient mariners are gaining a lot of attention as the amoebocyte from their blood are harvested by the biomedical industry for use to detect human pathogens in patients, injectable drugs and intravenous devices.
    Matched MeSH terms: Attention
  12. Muhamad Saiful Bahri Yusoff
    MyJurnal
    Objective: To determine association between academic performance and absenteeism in classroom among first year medical students.

    Methods: A one-year prospective study was conducted on 196 first year medical students. Academic performance was measured by examination scores at four examinations. Absenteeism score was measured by the cumulative number of absence in an academic session of each student recorded by academic office at the end of the first year of medical training. The academic performance was categorized into pass and fail for analysis purpose. Data was analyzed by SPSS version 20.

    Results: The independent-t analysis showed that, in all examinations, students who passed the examinations had significantly lower absenteeism scores than those who failed (p < 0.001).

    Conclusion: This study found significant associations between academic performances and absenteeism scores among first year medical students. Medical schools should pay more attention on this matter since it may result in poor academic performances.
    Matched MeSH terms: Attention
  13. Nurul Najwa Zamimi, Noorhazayti Ab.Halim, Widya Lestari, Darnis, Deny Susanti, Wan Mohd Faizal Wan Ishak, Md Muziman Syah Md Mustafa
    MyJurnal
    Dental caries is the most common yet preventable disease. Study found that seaweed
    exhibits anti-cariogenic properties. However, little attention have been given to the study on anticariogenic properties of seaweed and the bioactive compound that responsible for the anticariogenic activities have not adequately investigated. This study was conducted to evaluate the
    best extraction methods for S. polycystum and to determine the fatty acid compounds of S.
    polycystum that have anti-cariogenic potential against oral cariogenic bacteria. (Copied from article).
    Matched MeSH terms: Attention
  14. Zuraidah Salleh, Nik Rozlin Nik Masdek, Koay Mei Hyie, Syarifah Yunus
    MyJurnal
    Kenaf fibre is one of the natural fibers that has received much attention of many researchers because of its good properties and flexible use. Kenaf fibre composites have been proposed as interior building materials. In this study, the recycling effect on the kenaf PVC wall panel is focused. The main objective of this study is to determine the mechanical properties of different types of kenaf PVC wall panels. The samples were formulated based on the first and third recycling process. The specimens were subjected to several types of tests, namely, tensile, izod impact, flexural and hardness based on ASTM D3039, ASTM D256, ASTM D7264 and ASTM D785, respectively. The results indicate that the mechanical properties of the third recycled kenaf PVC wall panel product is better than the virgin and first recycled specimen. This shows that the recycling process enhances the mechanical properties of the product. On the other hand, the hardness of the specimen decreases after first recycling due to the reheating effect.
    Matched MeSH terms: Attention
  15. Deang KT, Sidi H, Zakaria H, Adam RL, Das S, Hatta NH, et al.
    Curr Drug Targets, 2019;20(2):210-219.
    PMID: 28494748 DOI: 10.2174/1389450118666170511145628
    Attention deficit hyperactive disorder (ADHD), a hyperactivity disorder prevalent among children may continue as an adulthood attention deficit. To date, treating an individual with an adult ADHD may be an arduous task as it involves numerous challenges, which include a need for high index of suspicion to diagnose this medical condition. Many psychiatric disorders masquerade as ADHD and delay the necessary assessment and proper treatment for this debilitating medical disorder. Adult ADHD is often misdiagnosed (or under diagnosed) due to the fact that this medical condition is being masked by the patients' high level of intellectual achievement. As the ADHD in adult persists, it may end-up with impairment in the personal-social-occupational function in which the management becomes a great challenge. The treatment of ADHD can be optimized by using various drugs targets agents like norepinephrine-dopamine reuptake inhibitor (NDRI), with or without psycho stimulants like methylphenidate, which is marketed as Ritalin. Bupropion, an NDRI has a novel effect on ADHD as the molecule exerts its effects by modulating the reward-pleasure mesolimbic dopaminergic system and at the same time regulates the elevating mood dimension of the noradrenergic neurotransmission. The role of Bupropion in the neural and psychopharmacological perspective treatment of ADHD was deliberated. The present review highlights the novel effects of Bupropion in ADHD treatment, together with the help of other successful bio-psycho-social measures. This may be of immense benefit to the psychiatrists for treating their patients.
    Matched MeSH terms: Attention Deficit Disorder with Hyperactivity/diagnosis*; Attention Deficit Disorder with Hyperactivity/drug therapy*; Attention Deficit Disorder with Hyperactivity/psychology
  16. Siti Hajar Abdul Aziz
    MyJurnal
    Lack of safety awareness among quarry workers caused a number of accidents in quarry industries. The objective
    of this study is to gauge the awareness level towards safety among quarry workers. A questionnaire was distributed
    randomly among quarry workers in Pahang, Terengganu and Kelantan. The questionnaire consists of 6 questions
    regarding safety at workplace. Results revealed that 56.9% of the respondents agreed and totally agreed for the health
    and safety suggestions made to be given consideration and used. As many as 79.3% respondents admitted that they
    obeyed all the safety rules stated at the workplace and 86.3% respondents said that they always focused and gave
    full attention while completing their task. A high percentage of 88% of the respondents agreed for all accidents
    to be reported to responsible persons while 77.6% respondents agreed for all personal protective equipment to be
    used suitable with the task given and 86.2% respondents answered that they performed their task following the safe
    operation procedures provided by the company.
    Matched MeSH terms: Attention
  17. Oh YH, See J, Le Ngo AC, Phan RC, Baskaran VM
    Front Psychol, 2018;9:1128.
    PMID: 30042706 DOI: 10.3389/fpsyg.2018.01128
    Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic investigation and security systems. Advances in computer algorithms and video acquisition technology have rendered machine analysis of facial micro-expressions possible today, in contrast to decades ago when it was primarily the domain of psychiatrists where analysis was largely manual. Indeed, although the study of facial micro-expressions is a well-established field in psychology, it is still relatively new from the computational perspective with many interesting problems. In this survey, we present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition. Individual stages involved in the automation of these tasks are also described and reviewed at length. In addition, we also deliberate on the challenges and future directions in this growing field of automatic facial micro-expression analysis.
    Matched MeSH terms: Attention
  18. Moghbel M, Mashohor S, Mahmud R, Saripan MI
    EXCLI J, 2016;15:500-517.
    PMID: 28096782 DOI: 10.17179/excli2016-473
    Segmentation of the liver from Computed Tomography (CT) volumes plays an important role during the choice of treatment strategies for liver diseases. Despite lots of attention, liver segmentation remains a challenging task due to the lack of visible edges on most boundaries of the liver coupled with high variability of both intensity patterns and anatomical appearances with all these difficulties becoming more prominent in pathological livers. To achieve a more accurate segmentation, a random walker based framework is proposed that can segment contrast-enhanced livers CT images with great accuracy and speed. Based on the location of the right lung lobe, the liver dome is automatically detected thus eliminating the need for manual initialization. The computational requirements are further minimized utilizing rib-caged area segmentation, the liver is then extracted by utilizing random walker method. The proposed method was able to achieve one of the highest accuracies reported in the literature against a mixed healthy and pathological liver dataset compared to other segmentation methods with an overlap error of 4.47 % and dice similarity coefficient of 0.94 while it showed exceptional accuracy on segmenting the pathological livers with an overlap error of 5.95 % and dice similarity coefficient of 0.91.
    Matched MeSH terms: Attention
  19. Hamid, H., Ngu, P.A.H., Alipiah, F.M.
    MyJurnal
    The issue of classifying objects into groups when measured variables in an experiment are mixed has attracted the attention of statisticians. The Smoothed Location Model (SLM) appears to be a popular classification method to handle data containing both continuous and binary variables simultaneously. However, SLM is infeasible for a large number of binary variables due to the occurrence of numerous empty cells. Therefore, this study aims to construct new SLMs by integrating SLM with two variable extraction techniques, Principal Component Analysis (PCA) and two types of Multiple Correspondence Analysis (MCA) in order to reduce the large number of mixed variables, primarily the binary ones. The performance of the newly constructed models, namely the SLM+PCA+Indicator MCA and SLM+PCA+Burt MCA are examined based on misclassification rate. Results from simulation studies for a sample size of n=60 show that the SLM+PCA+Indicator MCA model provides perfect classification when the sizes of binary variables (b) are 5 and 10. For b=20, the SLM+PCA+Indicator MCA model produces misclassification rates of 0.3833, 0.6667 and 0.3221 for n=60, n=120 and n=180, respectively. Meanwhile, the SLM+PCA+Burt MCA model provides a perfect classification when the sizes of the binary variables are 5, 10, 15 and 20 and yields a small misclassification rate as 0.0167 when b=25. Investigations into real dataset demonstrate that both of the newly constructed models yield low misclassification rates with 0.3066 and 0.2336 respectively, in which the SLM+PCA+Burt MCA model performed the best among all the classification methods compared. The findings reveal that the two new models of SLM integrated with two variable extraction techniques can be good alternative methods for classification purposes in handling mixed variable problems, mainly when dealing with large binary variables.
    Matched MeSH terms: Attention
  20. Seman RNAR, Azam MA, Ani MH
    Nanotechnology, 2018 Dec 14;29(50):502001.
    PMID: 30248022 DOI: 10.1088/1361-6528/aae3da
    Supercapacitors, based on fast ion transportation, are among the most promising energy storage solutions that can deliver fast charging-discharging within seconds and exhibit excellent cycling stability. The development of a good electrode material is one of the key factors in enhancing supercapacitor performance. Graphene (G), an allotrope of carbon that consists of a single layer of carbon atoms arranged in a hexagonal lattice, elicits research attention among scientists in the field of energy storage due to its remarkable properties, such as outstanding electrical conductivity, good chemical stability, and excellent mechanical behavior. Furthermore, numerous studies focus on 2D materials that are analogous to graphene as electrode supercapacitors, including transition metal dichalcogenides (TMDs). Recently, scientists and researchers are exploring TMDs because of the distinct features that make 2D TMDs highly attractive for capacitive energy storage. This study provides an overview of the structure, properties, synthesis methods, and electrochemical performance of G/TMD supercapacitors. Furthermore, the combination of G and TMDs to develop a hybrid structure may increase their energy density by introducing an asymmetric supercapacitor system. We will also discuss the future prospect of this system in the energy field.
    Matched MeSH terms: Attention
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