Displaying publications 1 - 20 of 600 in total

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  1. Liew SC, Aung T
    Sleep Med, 2021 01;77:192-204.
    PMID: 32951993 DOI: 10.1016/j.sleep.2020.07.048
    Sleep deprivation, a consequence of multiple health problems or a cause of many major health risks, is a significant public health concern in this era. In the recent years, numerous reports have been added to the literature to provide explanation and to answer previously unanswered questions on this important topic but comprehensive updates and reviews in this aspect remain scarce. The present study identified 135 papers that investigated the association between sleep deprivation and health risks, including cardiovascular, respiratory, neurological, gastrointestinal, immunology, dermatology, endocrine, and reproductive health. In this review, we aimed to provide insight into the association between sleep deprivation and the development of diseases. We reviewed the latest updates available in the literature and particular attention was paid to reports that detailed all possible causal relationships involving both extrinsic and intrinsic factors that may be relevant to this topic. Various mechanisms by which sleep deprivation may affect health were presented and discussed, and this review hopes to serve as a platform for ideas generation for future research.
    Matched MeSH terms: Attention*
  2. Zaaba ZF, Lim Xin Yi C, Amran A, Omar MA
    Sensors (Basel), 2021 Nov 03;21(21).
    PMID: 34770621 DOI: 10.3390/s21217313
    The security warning is a representation of communication that is used to warn and to inform a person whether security menaces have been discovered in order to prevent any consequences of damage from taking place. The purpose of a security warning is to provide a legitimate alert (to notify and to warn) to the users so that a secure manner of action is safely conducted. It is worth noting that the majority of computer users prefer to dismiss security warnings due to lack of attention, the use of technical words, and the deficiency of information provided. This paper determines to achieve two outcomes: firstly, a thorough review of problems, challenges, and approaches to improving security warnings. Our work complements the previous classifications in the identification of problems and challenges in security warnings by value-adding a new classification, namely immersion in the primary task. Then, we add other related works within the known classifications accordingly. In addition, our work also presents the classifications of approaches to improving security warnings. Secondly, we propose two timelines by addressing the problems, challenges, and approaches to improving security warnings. It is expected that the outcomes of this research will be useful to researchers within the niche area for analysing trends and providing the groundwork in security warning studies, respectively.
    Matched MeSH terms: Attention*
  3. Lin CY, Chiu YC, Ng HF, Shih TK, Lin KH
    Sensors (Basel), 2020 May 21;20(10).
    PMID: 32455537 DOI: 10.3390/s20102907
    Semantic segmentation of street view images is an important step in scene understanding for autonomous vehicle systems. Recent works have made significant progress in pixel-level labeling using Fully Convolutional Network (FCN) framework and local multi-scale context information. Rich global context information is also essential in the segmentation process. However, a systematic way to utilize both global and local contextual information in a single network has not been fully investigated. In this paper, we propose a global-and-local network architecture (GLNet) which incorporates global spatial information and dense local multi-scale context information to model the relationship between objects in a scene, thus reducing segmentation errors. A channel attention module is designed to further refine the segmentation results using low-level features from the feature map. Experimental results demonstrate that our proposed GLNet achieves 80.8% test accuracy on the Cityscapes test dataset, comparing favorably with existing state-of-the-art methods.
    Matched MeSH terms: Attention
  4. Deraman, R.F., Mahayadin, M., Mohd Ruslan, S.Z., Othman, N.I., Nasir, M.A.S.
    MyJurnal
    Many nonlinear problems that arise in various science and engineering fields can be
    modelled by the Goursat partial differential equations. Modelling these non-linear
    problems using the Goursat partial differential equations has not received much
    attention especially the theoretical aspect . The proposed scheme of solution is
    supported by examining a nonlinear Goursat problem. The verification of the
    theoretical results from several series of numerical experiments are discussed. Results
    obtained from Taylor series expansion show that the proposed new scheme is
    consistent. By using the von Neumann analysis and essence of stability, the proposed
    new scheme is found to be unconditionally stable. In addition, the trend of the
    numerical results shows that the new scheme is also convergent.
    Matched MeSH terms: Attention
  5. Farsi E, Ahmad M, Hor SY, Khadeer Ahamed MB, Yam MF, Khoo BY, et al.
    BMC Complement Altern Med, 2018 09 27;18(1):262.
    PMID: 30261874 DOI: 10.1186/s12906-018-2333-3
    After the publication of this article [1] it came to our attention that one author, Boon Yin Khoo, was erroneously omitted from the authorship list.
    Matched MeSH terms: Attention
  6. Siner A, Liew ST, Kadir KA, Mohamad DSA, Thomas FK, Zulkarnaen M, et al.
    Malar J, 2017 11 06;16(1):445.
    PMID: 29110664 DOI: 10.1186/s12936-017-2093-4
    After publication of the article [1], it has been brought to our attention that two of the labels on Figure 4 have transposed. The labels "S-type SSU rRNA" and "A-type SSU rRNA" should be in opposite places.
    Matched MeSH terms: Attention
  7. Zihlif M, Afifi F, Abu-Dahab R, Majid AMSA, Somrain H, Saleh MM, et al.
    BMC Complement Altern Med, 2018 02 16;18(1):64.
    PMID: 29452588 DOI: 10.1186/s12906-018-2126-8
    CORRECTION: After the publication [1] it came to the attention of the authors that one of the co-authors was incorrectly included as Hamza Somrain. The correct spelling is as follows: Hamzeh Sumrein.
    Matched MeSH terms: Attention
  8. Lee YY, Abdul Halim Z
    PeerJ Comput Sci, 2020;6:e309.
    PMID: 33816960 DOI: 10.7717/peerj-cs.309
    Stochastic computing (SC) is an alternative computing domain for ubiquitous deterministic computing whereby a single logic gate can perform the arithmetic operation by exploiting the nature of probability math. SC was proposed in the 1960s when binary computing was expensive. However, presently, SC started to regain interest after the widespread of deep learning application, specifically the convolutional neural network (CNN) algorithm due to its practicality in hardware implementation. Although not all computing functions can translate to the SC domain, several useful function blocks related to the CNN algorithm had been proposed and tested by researchers. An evolution of CNN, namely, binarised neural network, had also gained attention in the edge computing due to its compactness and computing efficiency. This study reviews various SC CNN hardware implementation methodologies. Firstly, we review the fundamental concepts of SC and the circuit structure and then compare the advantages and disadvantages amongst different SC methods. Finally, we conclude the overview of SC in CNN and make suggestions for widespread implementation.
    Matched MeSH terms: Attention
  9. Banadkooki FB, Ehteram M, Ahmed AN, Teo FY, Ebrahimi M, Fai CM, et al.
    Environ Sci Pollut Res Int, 2020 Oct;27(30):38117-38119.
    PMID: 32705552 DOI: 10.1007/s11356-020-10139-x
    Following the publication of the article it has come to the authors' attention that the first panel of Fig. 11 has been repeated with the second panel of Fig. 11.
    Matched MeSH terms: Attention
  10. Zulkapli NA, Abdullah JM
    Malays J Med Sci, 2018 Nov;25(6):1-5.
    PMID: 30914874 DOI: 10.21315/mjms2018.25.6.1
    This report presents a review of the Malaysian Journal of Medical Sciences' (MJMS) performance status throughout 2017, which covers the submission pattern of original manuscripts by month, the geographical distribution of submitting authors, the types of manuscripts and overall acceptance/rejection rates. As the years progress, MJMS continues to receive an escalating number of manuscript submissions. This contributes to an ever-increasing workload, which makes administrative tasks continually more challenging. Although the manuscript submission platform seeks to minimise the pre-publication workload of the journal administrator, it is still a time-consuming task, particularly when authors seek exclusive attention for their submitted manuscripts.
    Matched MeSH terms: Attention
  11. Goh KM, Shahar S, Chan KG, Chong CS, Amran SI, Sani MH, et al.
    Microorganisms, 2019 Oct 18;7(10).
    PMID: 31635256 DOI: 10.3390/microorganisms7100468
    Thousands of prokaryotic genera have been published, but methodological bias in the study of prokaryotes is noted. Prokaryotes that are relatively easy to isolate have been well-studied from multiple aspects. Massive quantities of experimental findings and knowledge generated from the well-known prokaryotic strains are inundating scientific publications. However, researchers may neglect or pay little attention to the uncommon prokaryotes and hard-to-cultivate microorganisms. In this review, we provide a systematic update on the discovery of underexplored culturable and unculturable prokaryotes and discuss the insights accumulated from various research efforts. Examining these neglected prokaryotes may elucidate their novelties and functions and pave the way for their industrial applications. In addition, we hope that this review will prompt the scientific community to reconsider these untapped pragmatic resources.
    Matched MeSH terms: Attention
  12. Masiran R
    BMJ Case Rep, 2018 Sep 27;2018.
    PMID: 30262539 DOI: 10.1136/bcr-2018-226212
    A boy with attention deficit and hyperactivity disorder (ADHD) presented with a fetish for and the subsequent stealing of female undergarments. He was predominantly inattentive and had been a slow learner. Psychological tests showed that he had significant cognitive and inattention problems without significant hyperactivity, and was at risk of dyslexia as well as conduct disorder.
    Matched MeSH terms: Attention Deficit Disorder with Hyperactivity/complications*; Attention Deficit Disorder with Hyperactivity/psychology
  13. Burns GL, Walsh JA, Gomez R, Hafetz N
    Psychol Assess, 2006 Dec;18(4):452-7.
    PMID: 17154767
    The purpose of this study was to examine the measurement (configural, metric, scalar, and residual) and structural (factor variance, factor covariance, and factor means) invariance of parent ratings of the attention-deficit/hyperactivity disorder - inattention (ADHD-IN), ADHD - hyperactivity/impulsivity (ADHD-HI), and oppositional defiant disorder (ODD) symptoms as described in the Diagnostic and Statistical Manual of Mental Disorders (4th ed.; American Psychiatric Association, 1994) across boys and girls. In an American pediatric sample (N = 1,015) and a Malaysian elementary school-age sample (N = 928), there was strong support for configural, metric, scalar, residual, factor variance, and covariance invariance across gender within each sample. Both American and Malaysian boys had significantly higher scores on the ADHD-IN and ADHD-HI factor means than did girls, whereas only in the American sample did boys score significantly higher on the ODD factor than did girls. The implications of the results for the study of gender, ethnic, and cultural differences associated with ADHD and ODD are discussed.
    Matched MeSH terms: Attention Deficit Disorder with Hyperactivity/epidemiology*; Attention Deficit Disorder with Hyperactivity/psychology*; Attention Deficit and Disruptive Behavior Disorders/epidemiology*; Attention Deficit and Disruptive Behavior Disorders/psychology*
  14. Buratto LG, Pottage CL, Brown C, Morrison CM, Schaefer A
    PLoS One, 2014;9(10):e110211.
    PMID: 25330251 DOI: 10.1371/journal.pone.0110211
    Memory performance is usually impaired when participants have to encode information while performing a concurrent task. Recent studies using recall tasks have found that emotional items are more resistant to such cognitive depletion effects than non-emotional items. However, when recognition tasks are used, the same effect is more elusive as recent recognition studies have obtained contradictory results. In two experiments, we provide evidence that negative emotional content can reliably reduce the effects of cognitive depletion on recognition memory only if stimuli with high levels of emotional intensity are used. In particular, we found that recognition performance for realistic pictures was impaired by a secondary 3-back working memory task during encoding if stimuli were emotionally neutral or had moderate levels of negative emotionality. In contrast, when negative pictures with high levels of emotional intensity were used, the detrimental effects of the secondary task were significantly attenuated.
    Matched MeSH terms: Attention/physiology*
  15. Gomez R, Burns GL, Walsh JA, Hafetz N
    J Abnorm Child Psychol, 2005 Apr;33(2):241-54.
    PMID: 15839501
    Confirmatory factor analysis (CFA) was used to model a multitrait by multisource matrix to determine the convergent and discriminant validity of measures of attention-deficit hyperactivity disorder (ADHD)-inattention (IN), ADHD-hyperactivity/impulsivity (HI), and oppositional defiant disorder (ODD) in 917 Malaysian elementary school children. The three trait factors were ADHD-IN, ADHDHI, and ODD. The two source factors were parents and teachers. Similar to earlier studies with Australian and Brazilian children, the parent and teacher measures failed to show convergent and discriminant validity with Malaysian children. The study outlines the implications of such strong source effects in ADHD-IN, ADHD-HI, and ODD measures for the use of such parent and teacher scales to study the symptom dimensions.
    Matched MeSH terms: Attention Deficit Disorder with Hyperactivity/diagnosis; Attention Deficit Disorder with Hyperactivity/ethnology*; Attention Deficit Disorder with Hyperactivity/epidemiology; Attention Deficit and Disruptive Behavior Disorders/diagnosis; Attention Deficit and Disruptive Behavior Disorders/ethnology*; Attention Deficit and Disruptive Behavior Disorders/epidemiology
  16. Chhibber A, Watanabe AH, Chaisai C, Veettil SK, Chaiyakunapruk N
    Pharmacoeconomics, 2021 04;39(4):399-420.
    PMID: 33554324 DOI: 10.1007/s40273-020-00998-0
    BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common mental disorders affecting children and adults. Previous systematic reviews have provided estimates of ADHD-associated costs but were limited to the USA and Europe.

    OBJECTIVES: This study aimed to systematically summarise all global evidence on the economic burden of ADHD.

    METHODS: A systematic search for published studies on costs of ADHD was conducted in EconLit, EMBASE, PubMed, ERIC, and PsycINFO. Additional literature was identified by searching the reference lists of eligible studies. The quality of the studies was assessed using the Larg and Moss checklist.

    RESULTS: This review included 44 studies. All studies were conducted in high-income countries and were limited to North America and Europe except for four studies: two in Asia and two in Australia. Most studies were retrospective and undertook a prevalence-based study design. Analysis revealed a substantial economic impact associated with ADHD. Estimates based on total costs ranged from $US831.38 to 20,538 for per person estimates and from $US356 million to 20.27 billion for national estimates. Estimates based on marginal costs ranged from $US244.15 to 18,751.00 for per person estimates and from $US12.18 million to 141.33 billion for national estimates. Studies that calculated economic burden across multiple domains of direct, indirect, and education and justice system costs for both children and adults with ADHD reported higher costs and translated gross domestic product than did studies that captured only a single domain or age group.

    CONCLUSIONS: Despite the wide variation in methodologies in studies reviewed, the literature suggests that ADHD imposes a substantial economic burden on society. There is a dire need for cost-of-illness research in low- and middle-income countries to better inform the treatment and management of ADHD in these countries. In addition, guidelines on the conduct and reporting of economic burden studies are needed as they may improve standardisation of cost-of-illness studies.

    Matched MeSH terms: Attention Deficit Disorder with Hyperactivity*
  17. Leong YK, Lan JC, Loh HS, Ling TC, Ooi CW, Show PL
    J Sep Sci, 2016 Feb;39(4):640-7.
    PMID: 26447739 DOI: 10.1002/jssc.201500667
    Having the benefits of being environmentally friendly, providing a mild environment for bioseparation, and scalability, aqueous two-phase systems (ATPSs) have increasingly caught the attention of industry and researchers for their application in the isolation and recovery of bioproducts. The limitations of conventional ATPSs give rise to the development of temperature-induced ATPSs that have distinctive thermoseparating properties and easy recyclability. This review starts with a brief introduction to thermoseparating ATPSs, including its history, unique characteristics and advantages, and lastly, key factors that influence partitioning. The underlying mechanism of temperature-induced ATPSs is covered together with a summary of recent applications. Thermoseparating ATPSs have been proven as a solution to the demand for economically favorable and environmentally friendly industrial-scale bioextraction and purification techniques.
    Matched MeSH terms: Attention
  18. Tumiran MA, Rahman NNA, Saat RM, Kabir N, Zulkifli MY, Adli DSH
    J Relig Health, 2018 Aug;57(4):1363-1375.
    PMID: 26266758 DOI: 10.1007/s10943-015-0093-7
    Napping/siesta during the day is a phenomenon, which is widely practised in the world. However, the timing, frequency, and duration may vary. The basis of napping is also diverse, but it is mainly done for improvement in alertness and general well-being. Neuroscience reveals that midday napping improves memory, enhances alertness, boosts wakefulness and performance, and recovers certain qualities of lost night sleep. Interestingly, Islam, the religion of the Muslims, advocates midday napping primarily because it was a practice preferred by Prophet Muhammad (pbuh). The objectives of this review were to investigate and compare identical key points on focused topic from both neuroscientific and Islamic perspectives and make recommendations for future researches.
    Matched MeSH terms: Attention
  19. Subramaniam, Selva Ranee, Raja Suzana Raja Kasim, Ramlee Ismail
    MyJurnal
    The pursuit for higher degrees is accelerating in the country. With mushrooming foreign and local graduates from non-university and university status institutions, it is critical to explore the types of qualification awarded and the existing platform for recognition and accreditation purposes. The objectives of this study are: (i) to gather information with regard to current policies and practices pertaining to recognition and accreditation systems of the higher education sector, with specific reference to Malaysia and china (ii) to review the existing policy between accreditation and recognition agencies/providers and (iii) to recommend best practices, guidelines and strategies for practical implementation in Malaysia. The methodology pursuit in Malaysia and china involved inspection of documents and purposive interviews. The research was implemented from May 2009 to november 2009. The results of the research revealed that though the worldview of mutual recognition agreement is to liberalise the education sector, the authentic situations prevailing in the country requires the purposive liberalization of the education sector, with periodic reviews for its appropriateness and relevance for the needs of the country (provisional and conditional), thereby ensuring regulatory, review and quality sustainability. The customized regulatory framework would be a prerequisite (conditional), with due attention be given to either implicit or explicit conditions in the recognition of academic degrees. In deliberating the mutual recognition agreement with jurisdiction including those which are more educationally advanced, selective emerging 'niche' areas and/or supportive (conditional) have been proposed. Finally, to strengthen the existing regulatory frame work, innovative provision in this legal framework is recommended.
    Matched MeSH terms: Attention
  20. Savari M, Abdul Wahab AW, Anuar NB
    Forensic Sci Int, 2016 Sep;266:427-439.
    PMID: 27442454 DOI: 10.1016/j.forsciint.2016.07.001
    Audio forgery is any act of tampering, illegal copy and fake quality in the audio in a criminal way. In the last decade, there has been increasing attention to the audio forgery detection due to a significant increase in the number of forge in different type of audio. There are a number of methods for forgery detection, which electric network frequency (ENF) is one of the powerful methods in this area for forgery detection in terms of accuracy. In spite of suitable accuracy of ENF in a majority of plug-in powered devices, the weak accuracy of ENF in audio forgery detection for battery-powered devices, especially in laptop and mobile phone, can be consider as one of the main obstacles of the ENF. To solve the ENF problem in terms of accuracy in battery-powered devices, a combination method of ENF and phase feature is proposed. From experiment conducted, ENF alone give 50% and 60% accuracy for forgery detection in mobile phone and laptop respectively, while the proposed method shows 88% and 92% accuracy respectively, for forgery detection in battery-powered devices. The results lead to higher accuracy for forgery detection with the combination of ENF and phase feature.
    Matched MeSH terms: Attention
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