Displaying publications 1 - 20 of 77 in total

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  1. Jaafar NI, Ainin S, Yeong MW
    Int J Med Inform, 2017 08;104:38-44.
    PMID: 28599815 DOI: 10.1016/j.ijmedinf.2017.05.002
    BACKGROUND: The general improvement of socio-economic conditions has resulted in people becoming more educated to make better-informed decisions in health related matters. Individual's perspective on health increases with better understanding of ways to improve lifestyle for better health and living. With the increase in lifestyle related diseases that lead to health problems, there is an increase in the availability of healthcare information. Thus, it is important to identify the factors that influence information seeking behaviour in the area of healthcare and lifestyle. This exploratory study examines the relationship between the factors that affect online health information-seeking behaviour among healthcare product in the capital city of Malaysia.
    METHOD: Survey questionnaire was used to collect empirical data. A survey was conducted among 300 healthcare consumers in three main cities in Malaysia where questionnaires were personally distributed through snowball sampling. A total of 271 questionnaire forms were used in the analysis.
    RESULTS: Health Behaviour of the consumers influences Health Information Seeking Behaviour. And this relationship is strongly affected by Gender whereby the affect is strongly among females compared to males.
    CONCLUSION: The findings indicate that Health Behaviour influences Health Information Seeking Behaviour. Marketers can find out which target segment of population to target when devising information channels for consumers, especially through the Internet. However, message that promotes positive health behaviour to a target audience who already has positive Health Behaviour increase the motivation to Health Information Seeking Behaviour.
    Matched MeSH terms: Information Storage and Retrieval*
  2. Saffor A, bin Ramli AR, Ng KH
    Australas Phys Eng Sci Med, 2003 Jun;26(2):39-44.
    PMID: 12956184
    Wavelet-based image coding algorithms (lossy and lossless) use a fixed perfect reconstruction filter-bank built into the algorithm for coding and decoding of images. However, no systematic study has been performed to evaluate the coding performance of wavelet filters on medical images. We evaluated the best types of filters suitable for medical images in providing low bit rate and low computational complexity. In this study a variety of wavelet filters are used to compress and decompress computed tomography (CT) brain and abdomen images. We applied two-dimensional wavelet decomposition, quantization and reconstruction using several families of filter banks to a set of CT images. Discreet Wavelet Transform (DWT), which provides efficient framework of multi-resolution frequency was used. Compression was accomplished by applying threshold values to the wavelet coefficients. The statistical indices such as mean square error (MSE), maximum absolute error (MAE) and peak signal-to-noise ratio (PSNR) were used to quantify the effect of wavelet compression of selected images. The code was written using the wavelet and image processing toolbox of the MATLAB (version 6.1). This results show that no specific wavelet filter performs uniformly better than others except for the case of Daubechies and bi-orthogonal filters which are the best among all. MAE values achieved by these filters were 5 x 10(-14) to 12 x 10(-14) for both CT brain and abdomen images at different decomposition levels. This indicated that using these filters a very small error (approximately 7 x 10(-14)) can be achieved between original and the filtered image. The PSNR values obtained were higher for the brain than the abdomen images. For both the lossy and lossless compression, the 'most appropriate' wavelet filter should be chosen adaptively depending on the statistical properties of the image being coded to achieve higher compression ratio.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  3. Mohebbi K, Ibrahim S, Zamani M, Khezrian M
    PLoS One, 2014;9(8):e104735.
    PMID: 25157872 DOI: 10.1371/journal.pone.0104735
    In this paper, a Semantic Web service matchmaker called UltiMatch-NL is presented. UltiMatch-NL applies two filters namely Signature-based and Description-based on different abstraction levels of a service profile to achieve more accurate results. More specifically, the proposed filters rely on semantic knowledge to extract the similarity between a given pair of service descriptions. Thus it is a further step towards fully automated Web service discovery via making this process more semantic-aware. In addition, a new technique is proposed to weight and combine the results of different filters of UltiMatch-NL, automatically. Moreover, an innovative approach is introduced to predict the relevance of requests and Web services and eliminate the need for setting a threshold value of similarity. In order to evaluate UltiMatch-NL, the repository of OWLS-TC is used. The performance evaluation based on standard measures from the information retrieval field shows that semantic matching of OWL-S services can be significantly improved by incorporating designed matching filters.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  4. Ghazizadeh E, Zamani M, Ab Manan JL, Alizadeh M
    ScientificWorldJournal, 2014;2014:260187.
    PMID: 24701149 DOI: 10.1155/2014/260187
    Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM). Companies encounter IAM as security challenges while adopting more technologies became apparent. Trust Multi-tenancy and trusted computing based on a Trusted Platform Module (TPM) are great technologies for solving the trust and security concerns in the cloud identity environment. Single sign-on (SSO) and OpenID have been released to solve security and privacy problems for cloud identity. This paper proposes the use of trusted computing, Federated Identity Management, and OpenID Web SSO to solve identity theft in the cloud. Besides, this proposed model has been simulated in .Net environment. Security analyzing, simulation, and BLP confidential model are three ways to evaluate and analyze our proposed model.
    Matched MeSH terms: Information Storage and Retrieval/standards; Information Storage and Retrieval/trends
  5. Hwong WY, Ang SH, Bots ML, Sivasampu S, Selvarajah S, Law WC, et al.
    Glob Heart, 2021 05 26;16(1):39.
    PMID: 34211825 DOI: 10.5334/gh.791
    Background: Data on nationwide trends for stroke metrics are crucial to understand the extent of the disease burden to a country's health system. Yet, this information remains scarce in low- and middle-income countries.

    Objectives: This study investigated trends of stroke incidence and 28-day all-cause mortality after a stroke from 2008 to 2016 in Malaysia, through linkage across national data sources.

    Methods: Hospital admissions with a principal diagnosis of stroke or transient ischemic attack were included. Cases with first stroke were identified through linkage of hospital admission registers where age and sex-standardized trends of stroke incidence and its subtypes were calculated. By linking hospital registers to the National Death Register, the 28-day all-cause mortality rates after a stroke were estimated. Mann-Kendall's test was used for trend evaluation.

    Results: From 243,765 records, the trend of stroke incidence showed an increase of 4.9% in men and a drop of 3.8% among women. Incidences were higher in men, at 99.1 per 100,000 population in 2008 and 103.9 per 100,000 in 2016 than women (80.3 per 100,000 in 2008 and 77.2 per 100,000 in 2016). There was a substantial increase in stroke incidence among those below 65 years old, with the largest increase of 53.3% in men aged between 35-39 years and 50.4% in women of similar age group. The trend for 28-day all-cause mortality showed a decline for men at -13.1% and women, -10.6%. Women had higher mortality from stroke (22.0% in 2008 and 19.7% in 2016) than men (19.4% in 2008 to 17.2% in 2016).

    Conclusion: This first empirical study on stroke trends in Malaysia revealed a worrying increase in stroke incidence among the younger population. Despite a declining trend, mortality rates remained moderately high especially in women. Comprehensive strategies to strengthen the prevention and management of stroke care are warranted.

    Matched MeSH terms: Information Storage and Retrieval
  6. Sookhak M, Akhunzada A, Gani A, Khurram Khan M, Anuar NB
    ScientificWorldJournal, 2014;2014:269357.
    PMID: 25121114 DOI: 10.1155/2014/269357
    Cloud computing is a significant shift of computational paradigm where computing as a utility and storing data remotely have a great potential. Enterprise and businesses are now more interested in outsourcing their data to the cloud to lessen the burden of local data storage and maintenance. However, the outsourced data and the computation outcomes are not continuously trustworthy due to the lack of control and physical possession of the data owners. To better streamline this issue, researchers have now focused on designing remote data auditing (RDA) techniques. The majority of these techniques, however, are only applicable for static archive data and are not subject to audit the dynamically updated outsourced data. We propose an effectual RDA technique based on algebraic signature properties for cloud storage system and also present a new data structure capable of efficiently supporting dynamic data operations like append, insert, modify, and delete. Moreover, this data structure empowers our method to be applicable for large-scale data with minimum computation cost. The comparative analysis with the state-of-the-art RDA schemes shows that the proposed scheme is secure and highly efficient in terms of the computation and communication overhead on the auditor and server.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  7. Teoh SL, Chong HY, Abdul Aziz S, Chemi N, Othman AR, Md Zaki N, et al.
    Neuropsychiatr Dis Treat, 2017;13:1979-1987.
    PMID: 28814869 DOI: 10.2147/NDT.S137140
    INTRODUCTION: Schizophrenia (SCZ) is a highly debilitating disease despite its low prevalence. The economic burden associated with SCZ is substantial and mainly attributed to productivity loss. To improve the understanding of economic burden of SCZ in the low- and middle-income country regions, we aimed to determine the economic burden of SCZ in Malaysia.

    METHODS: A retrospective study was conducted using a prevalence-based approach from a societal perspective in Malaysia with a 1 year period from 2013. We used micro-costing technique with bottom-up method and included direct medical cost, direct non-medical cost, and indirect cost. The main data source was medical chart review which was conducted in Hospital Kuala Lumpur (HKL). The medical charts were identified electronically by matching the unique patient's identification number registered under the National Mental Health Schizophrenia Registry and the list of patients in HKL in 2013. Other data sources were government documents, literatures, and local websites. To ensure robustness of result, probabilistic sensitivity analysis was conducted.

    RESULTS: The total estimated number of treated SCZ cases in Malaysia in 2015 was 15,104 with the total economic burden of USD 100 million (M) which was equivalent to 0.04% of the national gross domestic product. On average, the mean cost per patient was USD 6,594. Of the total economic burden of SCZ, 72% was attributed to indirect cost, costing at USD 72M, followed by direct medical cost (26%), costing at USD 26M, and direct non-medical cost (2%), costing at USD 1.7M.

    CONCLUSION: This study highlights the magnitude of economic burden of SCZ and informs the policy-makers that there is an inadequate support for SCZ patients. More resources should be allocated to improve the condition of SCZ patients and to reduce the economic burden.

    Matched MeSH terms: Information Storage and Retrieval
  8. Ahmad Syaify B., Alamin M. D., Norafidah A. R.
    MyJurnal
    Introduction:Lymphatic filariasis (LF) is a neglected tropical disease that can cause significant morbidity. In Malay-sia, National Programme for the Elimination of Lymphatic Filariasis started in 2001 with the initial target of achiev-ing Lymphatic Filariasis elimination status by 2018 but it has been revised to year 2020. Mass Drug Administration (MDA) Programme was performed from 2004 to 2008 in all endemic areas (Red Implementation Unit, IU) in Malay-sia including Terengganu state to stop disease transmission. Transmission Assessment Surveys (TAS) were conducted later on and for Terengganu, they were done in 2011 (TAS 1), 2015 (TAS 2) and 2017 (TAS 3) and had passed all the surveys based on critical cut off (CCO) point given. Methods: A cross sectional analysis of 10-year Terengganu filariasis records (2009-2018) was initiated in June 2019 using data source from eVekpro and filariasis cases line-list-ing. Results: Majority of filariasis cases in Terengganu were among males (n=147, 76.6%) with the highest number among 30-39 year-old age group (n=35, 18.2%). Majority of cases were Malaysian citizens (n=162, 84.4%) with main filariasis species identified were Brugia Malayi (n=149, 77.6%). The number of cases diagnosed was slightly higher from Green Implementation Unit area (n=102, 53.1%) compared to Red Implementation Unit area. Conclu-sion: The number of lymphatic filariasis cases among Terengganu citizens was below critical cut off point after the accomplishment of MDA programme and in accordance with the aim of lymphatic filariasis elimination status in Malaysia by 2020.
    Matched MeSH terms: Information Storage and Retrieval
  9. Imran M, Hashim R, Noor Elaiza AK, Irtaza A
    ScientificWorldJournal, 2014;2014:752090.
    PMID: 25121136 DOI: 10.1155/2014/752090
    One of the major challenges for the CBIR is to bridge the gap between low level features and high level semantics according to the need of the user. To overcome this gap, relevance feedback (RF) coupled with support vector machine (SVM) has been applied successfully. However, when the feedback sample is small, the performance of the SVM based RF is often poor. To improve the performance of RF, this paper has proposed a new technique, namely, PSO-SVM-RF, which combines SVM based RF with particle swarm optimization (PSO). The aims of this proposed technique are to enhance the performance of SVM based RF and also to minimize the user interaction with the system by minimizing the RF number. The PSO-SVM-RF was tested on the coral photo gallery containing 10908 images. The results obtained from the experiments showed that the proposed PSO-SVM-RF achieved 100% accuracy in 8 feedback iterations for top 10 retrievals and 80% accuracy in 6 iterations for 100 top retrievals. This implies that with PSO-SVM-RF technique high accuracy rate is achieved at a small number of iterations.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  10. Abdulhamid SM, Abd Latiff MS, Abdul-Salaam G, Hussain Madni SH
    PLoS One, 2016;11(7):e0158102.
    PMID: 27384239 DOI: 10.1371/journal.pone.0158102
    Cloud computing system is a huge cluster of interconnected servers residing in a datacenter and dynamically provisioned to clients on-demand via a front-end interface. Scientific applications scheduling in the cloud computing environment is identified as NP-hard problem due to the dynamic nature of heterogeneous resources. Recently, a number of metaheuristics optimization schemes have been applied to address the challenges of applications scheduling in the cloud system, without much emphasis on the issue of secure global scheduling. In this paper, scientific applications scheduling techniques using the Global League Championship Algorithm (GBLCA) optimization technique is first presented for global task scheduling in the cloud environment. The experiment is carried out using CloudSim simulator. The experimental results show that, the proposed GBLCA technique produced remarkable performance improvement rate on the makespan that ranges between 14.44% to 46.41%. It also shows significant reduction in the time taken to securely schedule applications as parametrically measured in terms of the response time. In view of the experimental results, the proposed technique provides better-quality scheduling solution that is suitable for scientific applications task execution in the Cloud Computing environment than the MinMin, MaxMin, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) scheduling techniques.
    Matched MeSH terms: Information Storage and Retrieval*
  11. Pahl C, Zare M, Nilashi M, de Faria Borges MA, Weingaertner D, Detschew V, et al.
    J Biomed Inform, 2015 Jun;55:174-87.
    PMID: 25900270 DOI: 10.1016/j.jbi.2015.04.004
    This work investigates, whether openEHR with its reference model, archetypes and templates is suitable for the digital representation of demographic as well as clinical data. Moreover, it elaborates openEHR as a tool for modelling Hospital Information Systems on a regional level based on a national logical infrastructure. OpenEHR is a dual model approach developed for the modelling of Hospital Information Systems enabling semantic interoperability. A holistic solution to this represents the use of dual model based Electronic Healthcare Record systems. Modelling data in the field of obstetrics is a challenge, since different regions demand locally specific information for the process of treatment. Smaller health units in developing countries like Brazil or Malaysia, which until recently handled automatable processes like the storage of sensitive patient data in paper form, start organizational reconstruction processes. This archetype proof-of-concept investigation has tried out some elements of the openEHR methodology in cooperation with a health unit in Colombo, Brazil. Two legal forms provided by the Brazilian Ministry of Health have been analyzed and classified into demographic and clinical data. LinkEHR-Ed editor was used to read, edit and create archetypes. Results show that 33 clinical and demographic concepts, which are necessary to cover data demanded by the Unified National Health System, were identified. Out of the concepts 61% were reused and 39% modified to cover domain requirements. The detailed process of reuse, modification and creation of archetypes is shown. We conclude that, although a major part of demographic and clinical patient data were already represented by existing archetypes, a significant part required major modifications. In this study openEHR proved to be a highly suitable tool in the modelling of complex health data. In combination with LinkEHR-Ed software it offers user-friendly and highly applicable tools, although the complexity built by the vast specifications requires expert networks to define generally excepted clinical models. Finally, this project has pointed out main benefits enclosing high coverage of obstetrics data on the Clinical Knowledge Manager, simple modelling, and wide network and support using openEHR. Moreover, barriers described are enclosing the allocation of clinical content to respective archetypes, as well as stagnant adaption of changes on the Clinical Knowledge Manager leading to redundant efforts in data contribution that need to be addressed in future works.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  12. Boedeker W, Watts M, Clausing P, Marquez E
    BMC Public Health, 2021 10 27;21(1):1943.
    PMID: 34702250 DOI: 10.1186/s12889-021-11941-z
    In a correspondence to BMC Public Health, Dunn et al. (Dunn SE, Reed J and Neumann C. BMC Public Health (n.d)) respond to our review on the occurrence of unintentional, acute pesticide poisoning (UAPP). Based on a systematic review and further data sources we estimated that about 385 million cases of UAPP occur annually world-wide including around 11,000 fatalities (Boedeker W. et al. BMC Public Health:1875, 2020).
    Matched MeSH terms: Information Storage and Retrieval
  13. Wang Z, Zhang F, Zhang X, Chan NW, Kung HT, Ariken M, et al.
    Sci Total Environ, 2021 Feb 12;775:145807.
    PMID: 33618298 DOI: 10.1016/j.scitotenv.2021.145807
    Soil salinization is an extremely serious land degradation problem in arid and semi-arid regions that hinders the sustainable development of agriculture and food security. Information and research on soil salinity using remote sensing (RS) technology provide a quick and accurate assessment and solutions to address this problem. This study aims to compare the capabilities of Landsat-8 OLI and Sentinel-2A MSI in RS prediction and exploration of the potential application of derivatives to RS prediction of salinized soils. It explores the ability of derivatives to be used in the Landsat-8 OLI and Sentinel-2A MSI multispectral data, and it was used as a data source as well as to address the adaptability of salinity prediction on a regional scale. The two-dimensional (2D) and three-dimensional (3D) optimal spectral indices are used to screen the bands that are most sensitive to soil salinity (0-10 cm), and RS data and topographic factors are combined with machine learning to construct a comprehensive soil salinity estimation model based on gray correlation analysis. The results are as follows: (1) The optimal spectral index (2D, 3D) can effectively consider possible combinations of the bands between the interaction effects and responding to sensitive bands of soil properties to circumvent the problem of applicability of spectral indices in different regions; (2) Both the Landsat-8 OLI and Sentinel-2A MSI multispectral RS data sources, after the first-order derivative techniques are all processed, show improvements in the prediction accuracy of the model; (3) The best performance/accuracy of the predictive model is for sentinel data under first-order derivatives. This study compared the capabilities of Landsat-8 OLI and Sentinel-2A MSI in RS prediction in finding the potential application of derivatives to RS prediction of salinized soils, with the results providing some theoretical basis and technical guidance for salinized soil prediction and environmental management planning.
    Matched MeSH terms: Information Storage and Retrieval
  14. Drama, S., Maliya, S., Liyana, A., Farhani, S., Jannah, R., Razman., M.R.
    MyJurnal
    Introduction: Transsexuals face discriminations and rejections from the Malaysian society. The number of
    studies done on understanding the phenomenology, experiences, and problems faced by transsexuals is still
    few in Malaysia. This research aims to document their psycho-social and spiritual backgrounds and the
    relevant experiences, and to explore their perceptions and needs as male-to-female transsexuals in the
    context of Persatuan Insaf Pahang, Malaysia. Materials and Methods: A qualitative research was carried out
    in July and August 2015 among eight male-to-female transsexual adults in Kuantan, Pahang. Snowball
    sampling was used. Participants who gave consent were interviewed in two focus groups. Data obtained was
    transcribed and used as the primary data source. Results: Subjects in this study reported confusions over
    their gender identity since childhood. They struggled against conflicts regarding their transsexuality in
    adolescence, and eventually many quit their studies. As adults, they were discriminated against in
    employment and religious settings. They provided positive feedbacks on religious authorities who could
    understand problems unique to transsexuals and empathise with the transsexual community. Conclusion: The
    psycho-sexual phenomenology is the same in transsexuals all over the world. Misunderstanding and
    discrimination from the society remain heavy towards this community. Transsexuals should learn to adapt to
    meeting expectations from the society as well, so they could be accepted in public. They will need religious
    guidance and spiritual support for better quality of life. Dedicated efforts are still needed in training
    professionals in the educational, medical, and religious fields to attend to the specific needs of transsexuals
    in this country.
    Matched MeSH terms: Information Storage and Retrieval
  15. Sukkar L, Talbot B, Jun M, Dempsey E, Walker R, Hooi L, et al.
    Can J Kidney Health Dis, 2019;6:2054358119879896.
    PMID: 31662874 DOI: 10.1177/2054358119879896
    Background: There are limited studies on the effects of statins on outcomes in the moderate chronic kidney disease (CKD) population and their trajectory to end-stage kidney disease.

    Objective: To examine the long-term effects of lipid-lowering therapy on all-cause mortality, cardiovascular morbidity, CKD progression, and socioeconomic well-being in Australian, New Zealand, and Malaysian SHARP (Study of Heart and Renal Protection) trial participants-a randomized controlled trial of a combination of simvastatin and ezetimibe, compared with placebo, for the reduction of cardiovascular events in moderate to severe CKD.

    Design: Protocol for an extended prospective observational follow-up.

    Setting: Australian, New Zealand, and Malaysian participating centers in patients with advanced CKD.

    Patients: All SHARP trial participants alive at the final study visit.

    Measurements: Primary outcomes were measured by participant self-report and verified by hospital administrative data. In addition, secondary outcomes were measured using a validated study questionnaire of health-related quality of life, a 56-item economic survey.

    Methods: Participants were followed up with alternating face-to-face visits and telephone calls on a 6-monthly basis until 5 years following their final SHARP Study visit. In addition, there were 6-monthly follow-up telephone calls in between these visits. Data linkage to health registries in Australia, New Zealand, and Malaysia was also performed.

    Results: The SHARP-Extended Review (SHARP-ER) cohort comprised 1136 SHARP participants with a median of 4.6 years of follow-up. Compared with all SHARP participants who originally participated in the Australian, New Zealand, and Malaysian regions, the SHARP-ER participants were younger (57.2 [48.3-66.4] vs 60.5 [50.3-70.7] years) with a lower proportion of men (61.5% vs 62.8%). There were a lower proportion of participants with hypertension (83.7% vs 85.0%) and diabetes (20.0% vs 23.5%).

    Limitations: As a long-term follow-up study, the surviving cohort of SHARP-ER is a selected group of the original study participants, which may limit the generalizability of the findings.

    Conclusion: The SHARP-ER study will contribute important evidence on the long-term outcomes of cholesterol-lowering therapy in patients with advanced CKD with a total of 10 years of follow-up. Novel analyses of the socioeconomic impact of CKD over time will guide resource allocation.

    Trial Registration: The SHARP trial was registered at ClinicalTrials.gov NCT00125593 and ISRCTN 54137607.

    Matched MeSH terms: Information Storage and Retrieval
  16. Firdaus Raih M, Ahmad HA, Sharum MY, Azizi N, Mohamed R
    Appl. Bioinformatics, 2005;4(2):147-50.
    PMID: 16128617
    Bacterial proteases are an important group of enzymes that have very diverse biochemical and cellular functions. Proteases from prokaryotic sources also have a wide range of uses, either in medicine as pathogenic factors or in industry and therapeutics. ProLysED (Prokaryotic Lysis Enzymes Database), our meta-server integrated database of bacterial proteases, is a useful, albeit very niche, resource. The features include protease classification browsing and searching, organism-specific protease browsing, molecular information and visualisation of protease structures from the Protein Data Bank (PDB) as well as predicted protease structures.
    Matched MeSH terms: Information Storage and Retrieval/methods*
  17. Pasquariella SK
    POPIN Bull, 1984 Dec.
    PMID: 12267287
    Matched MeSH terms: Information Storage and Retrieval*
  18. EAS Familial Hypercholesterolaemia Studies Collaboration, Vallejo-Vaz AJ, Akram A, Kondapally Seshasai SR, Cole D, Watts GF, et al.
    Atheroscler Suppl, 2016 Dec;22:1-32.
    PMID: 27939304 DOI: 10.1016/j.atherosclerosissup.2016.10.001
    The potential for global collaborations to better inform public health policy regarding major non-communicable diseases has been successfully demonstrated by several large-scale international consortia. However, the true public health impact of familial hypercholesterolaemia (FH), a common genetic disorder associated with premature cardiovascular disease, is yet to be reliably ascertained using similar approaches. The European Atherosclerosis Society FH Studies Collaboration (EAS FHSC) is a new initiative of international stakeholders which will help establish a global FH registry to generate large-scale, robust data on the burden of FH worldwide.
    Matched MeSH terms: Information Storage and Retrieval
  19. Gan SM, Pearl ZF, Yuvaraj AR, Lutfor MR, Gurumurthy H
    PMID: 26004096 DOI: 10.1016/j.saa.2015.05.027
    Two new ether substituted azodyes were synthesized and characterized by different spectral analysis such as (1)H NMR, (13)C NMR, FTIR and UV/Vis. Synthesized compounds were used to study the photoisomerization phenomenon by using UV-Vis spectro-photometer. Interesting polarity dependent effect is observed for the first time on these materials. Trans-cis (E-Z) and cis-trans (Z-E) conversion occurred within 41 s and 445 min, respectively for both the compounds in solutions. Polarizing optical microscopy studies revealed that there is no liquid crystal phase for both the compounds. The dramatic variation in the optical property is speculated to be the polarity of the chemical species. These derivatives are useful to fabricate optical data storage devices.
    Matched MeSH terms: Information Storage and Retrieval
  20. Sanusi NSNM, Rosli R, Halim MAA, Chan KL, Nagappan J, Azizi N, et al.
    Database (Oxford), 2018 01 01;2018.
    PMID: 30239681 DOI: 10.1093/database/bay095
    A set of Elaeis guineensis genes had been generated by combining two gene prediction pipelines: Fgenesh++ developed by Softberry and Seqping by the Malaysian Palm Oil Board. PalmXplore was developed to provide a scalable data repository and a user-friendly search engine system to efficiently store, manage and retrieve the oil palm gene sequences and annotations. Information deposited in PalmXplore includes predicted genes, their genomic coordinates, as well as the annotations derived from external databases, such as Pfam, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Information about genes related to important traits, such as those involved in fatty acid biosynthesis (FAB) and disease resistance, is also provided. The system offers Basic Local Alignment Search Tool homology search, where the results can be downloaded or visualized in the oil palm genome browser (MYPalmViewer). PalmXplore is regularly updated offering new features, improvements to genome annotation and new genomic sequences. The system is freely accessible at http://palmxplore.mpob.gov.my.
    Matched MeSH terms: Information Storage and Retrieval
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