Displaying publications 81 - 100 of 365 in total

Abstract:
Sort:
  1. Fulltext Nano-Anatase TiO₂ for High Performance Optical Humidity Sensing on Chip
    Ghadiry M, Gholami M, Kong LC, Yi CW, Ahmad H, Alias Y
    Sensors (Basel), 2015;16(1).
    PMID: 26729115 DOI: 10.3390/s16010039
    An on-chip optical humidity sensor using Nano-anatase TiO₂ coating is presented here. The coating material was prepared so that the result is in solution form, making the fabrication process quick and simple. Then, the solution was effortlessly spin-coated on an SU8 straight channel waveguide. Investigating the sensitivity and performance (response time) of the device revealed a great linearity in the wide range (35% to 98%) of relative humidity (RH). In addition, a variation of more than 14 dB in transmitted optical power was observed, with a response time of only ~0.7 s. The effect of coating concentration and UV treatment was examined on the performance and repeatability of the sensor. Interesting observations were found, and the attributed mechanisms were described. In addition, the proposed sensor was extensively compared with other state-of-the-art proposed counterparts from the literature and remarkable advantages were found. Since a high sensitivity of ~0.21 dB/%RH and high dynamic performances were demonstrated, this sensor is proposed for use in biomedical applications.
    Matched MeSH terms: Data Collection
  2. Study of vector boson scattering and search for new physics in events with two same-sign leptons and two jets
    Khachatryan V, Sirunyan AM, Tumasyan A, Adam W, Bergauer T, Dragicevic M, et al.
    Phys Rev Lett, 2015 Feb 6;114(5):051801.
    PMID: 25699433
    A study of vector boson scattering in pp collisions at a center-of-mass energy of 8 TeV is presented. The data sample corresponds to an integrated luminosity of 19.4  fb(-1) collected with the CMS detector. Candidate events are selected with exactly two leptons of the same charge, two jets with large rapidity separation and high dijet mass, and moderate missing transverse energy. The signal region is expected to be dominated by electroweak same-sign W-boson pair production. The observation agrees with the standard model prediction. The observed significance is 2.0 standard deviations, where a significance of 3.1 standard deviations is expected based on the standard model. Cross section measurements for W(±)W(±) and WZ processes in the fiducial region are reported. Bounds on the structure of quartic vector-boson interactions are given in the framework of dimension-eight effective field theory operators, as well as limits on the production of doubly charged Higgs bosons.
    Matched MeSH terms: Data Collection
  3. Strategies targeted at motivating unrelated living kidney donation
    Tumin M, Noh A, Chong CS, Mohd Satar N, Lim SK, Abdullah N, et al.
    Ann. Transplant., 2013;18:314-9.
    PMID: 23792535 DOI: 10.12659/AOT.883957
    This paper aimed to assess the willingness of Malaysians with post-secondary education to be living kidney donors.
    Matched MeSH terms: Data Collection
  4. A flow cell optosensor for lead based on immobilized gallocynin in chitosan membrane
    Yusof NA, Ahmad M
    Talanta, 2002 Sep 12;58(3):459-66.
    PMID: 18968772
    Gallocynin immobilized in chitosan membrane has been studied as a sensor element of an optical sensor for lead using a flowing system. By using this set up, lead in solution has been determined in the concentration range from 1.0x10(-1) to 1.0x10(3) ppm with a detection limit of 0.075 ppm. The standard deviation of the method for the repeatability of lead detection at a concentration of 100 ppm was found to be 2.10%. The response of the sensor was reproducible and can be regenerated by using acidified saturated KNO(3) solution. Interference from foreign ions was also studied at 1:1 mole ratio of Pb(II):foreign ions.
    Matched MeSH terms: Data Collection
  5. Aerial surveys give new estimates for orangutans in Sabah, Malaysia
    Ancrenaz M, Gimenez O, Ambu L, Ancrenaz K, Andau P, Goossens B, et al.
    PLoS Biol, 2005 Jan;3(1):e3.
    PMID: 15630475
    Great apes are threatened with extinction, but precise information about the distribution and size of most populations is currently lacking. We conducted orangutan nest counts in the Malaysian state of Sabah (North Borneo), using a combination of ground and helicopter surveys, and provided a way to estimate the current distribution and size of the populations living throughout the entire state. We show that the number of nests detected during aerial surveys is directly related to the estimated true animal density and that a helicopter is an efficient tool to provide robust estimates of orangutan numbers. Our results reveal that with a total estimated population size of about 11,000 individuals, Sabah is one of the main strongholds for orangutans in North Borneo. More than 60% of orangutans living in the state occur outside protected areas, in production forests that have been through several rounds of logging extraction and are still exploited for timber. The role of exploited forests clearly merits further investigation for orangutan conservation in Sabah.
    Matched MeSH terms: Data Collection
  6. Quantification of atovaquone from amorphous solid dispersion formulation using HPLC: An in vitro and ex vivo investigation
    Teoh XY, Goh CF, Aminu N, Chan SY
    J Pharm Biomed Anal, 2021 Jan 05;192:113631.
    PMID: 33011581 DOI: 10.1016/j.jpba.2020.113631
    Atovaquone (ATQ) is a poorly soluble drug. Therefore, formulating ATQ into its supersaturated state through solid dispersion for bioavailability enhancement can be of great value. However, due to fast crystallising properties of ATQ, the quantification of ATQ in a supersaturated solid dispersion system can be complicated. Therefore, in pursuit of accurate quantification of such sample, a simple HPLC analytical method utilising a C18 column (250 × 4.6 mm ID, 5 μm) for the quantitation of ATQ has been developed and validated. Atovaquone elution using the proposed method demonstrated a retention time around 7.6 min with good linearity (R2 > 0.999). The system suitability is also detailed with the tailing factor at 1.365 ± 0.002. The addition of solubilising agent as sample treatment step aided in ensuring the accurate quantitation of the fast crystallising ATQ. The developed HPLC quantitation method has been successfully employed in the analysis of ATQ from solid dispersion samples in in vitro dissolution as well as ex vivo permeation studies for formulation development.
    Matched MeSH terms: Data Collection
  7. Fulltext An Adaptive Deep Learning Framework for Dynamic Image Classification in the Internet of Things Environment
    Jameel SM, Hashmani MA, Rehman M, Budiman A
    Sensors (Basel), 2020 Oct 14;20(20).
    PMID: 33066579 DOI: 10.3390/s20205811
    In the modern era of digitization, the analysis in the Internet of Things (IoT) environment demands a brisk amalgamation of domains such as high-dimension (images) data sensing technologies, robust internet connection (4 G or 5 G) and dynamic (adaptive) deep learning approaches. This is required for a broad range of indispensable intelligent applications, like intelligent healthcare systems. Dynamic image classification is one of the major areas of concern for researchers, which may take place during analysis under the IoT environment. Dynamic image classification is associated with several temporal data perturbations (such as novel class arrival and class evolution issue) which cause a massive classification deterioration in the deployed classification models and make them in-effective. Therefore, this study addresses such temporal inconsistencies (novel class arrival and class evolution issue) and proposes an adapted deep learning framework (ameliorated adaptive convolutional neural network (CNN) ensemble framework), which handles novel class arrival and class evaluation issue during dynamic image classification. The proposed framework is an improved version of previous adaptive CNN ensemble with an additional online training (OT) and online classifier update (OCU) modules. An OT module is a clustering-based approach which uses the Euclidean distance and silhouette method to determine the potential new classes, whereas, the OCU updates the weights of the existing instances of the ensemble with newly arrived samples. The proposed framework showed the desirable classification improvement under non-stationary scenarios for the benchmark (CIFAR10) and real (ISIC 2019: Skin disease) data streams. Also, the proposed framework outperformed against state-of-art shallow learning and deep learning models. The results have shown the effectiveness and proven the diversity of the proposed framework to adapt the new concept changes during dynamic image classification. In future work, the authors of this study aim to develop an IoT-enabled adaptive intelligent dermoscopy device (for dermatologists). Therefore, further improvements in classification accuracy (for real dataset) is the future concern of this study.
    Matched MeSH terms: Data Collection
  8. Fulltext A dataset of tree heights in mangrove and non-mangrove trees in Malaysia derived from multiple measurement methods
    Saliu IS, Wolswijk G, Satyanarayana B, Fisol MAB, Decannière C, Lucas R, et al.
    Data Brief, 2020 Dec;33:106386.
    PMID: 33102654 DOI: 10.1016/j.dib.2020.106386
    The dataset contains tree height data collected in 200 mangrove and non-mangrove trees sampled in various sites in Malaysia. Different height measurement methods were performed, including visual measurements (stick, thumb rule) and precision field instruments (clinometer, laser rangefinder and altimeter), which were compared against benchmark values obtained using an unmanned aerial vehicle (UAV) and a Leica distometer. The core data have been analysed and interpreted in the paper by Saliu et al. ''An accuracy analysis of mangrove tree height mensuration using forestry techniques, hypsometers and UAVs '' [1], in which the accuracy of each method for tree height measurement was discussed.
    Matched MeSH terms: Data Collection
  9. Evidence for the Associated Production of a Single Top Quark and a Photon in Proton-Proton Collisions at sqrt[s]=13  TeV
    Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Asilar E, Bergauer T, et al.
    Phys Rev Lett, 2018 Nov 30;121(22):221802.
    PMID: 30547617 DOI: 10.1103/PhysRevLett.121.221802
    The first evidence of events consistent with the production of a single top quark in association with a photon is reported. The analysis is based on proton-proton collisions at sqrt[s]=13  TeV and recorded by the CMS experiment in 2016, corresponding to an integrated luminosity of 35.9  fb^{-1}. Events are selected by requiring the presence of a muon (μ), a photon (γ), an imbalance in transverse momentum from an undetected neutrino (ν), and at least two jets (j) of which exactly one is identified as associated with the hadronization of a b quark. A multivariate discriminant based on topological and kinematic event properties is employed to separate signal from background processes. An excess above the background-only hypothesis is observed, with a significance of 4.4 standard deviations. A fiducial cross section is measured for isolated photons with transverse momentum greater than 25 GeV in the central region of the detector. The measured product of the cross section and branching fraction is σ(pp→tγj)B(t→μνb)=115±17(stat)±30(syst)  fb, which is consistent with the standard model prediction.
    Matched MeSH terms: Data Collection
  10. Fulltext Personal Injury Claims (PIC) database modelling in Malaysia
    Syadatul Syaeda Mat Saleh, Najihan Awang @ Ali, Nik Ruslawati Nik Mustapa, Nurul Husna Jamian, Hussin bin Abdul Hamid
    Jurnal Inovasi Malaysia, 2020;3(2):75-86.
    MyJurnal
    Road accident is not stranger matter in Malaysia. Subsequently, often leads to a claim for personal injury by the persecuted party. In Malaysia, the method for calculating claims applies a multiplier-multiplicand approach. This approach is no longer relevant and unfair to the claimant as it excludes personal status in the quantum calculation of damages. Hence, this study uses the Ogden Table as introduced in the United Kingdom as benchmarking guidelines, by taking into account of all aspect of claimant's personal condition for the purpose of such calculation. This study is built upon a proposed framework of data modelling system known as Entity Relationship Diagram (ERD) and the created process modelling known as data flow diagram (DFD). Doing so, the claimants will insert their input data, run it through the first process, and store the information in the claim injury part database. They can also edit and store to claim injury part database on their own. This will generate a report with the information in claim injury part database and can be viewed by claimant, court and lawyer as target users. It is hoped that it will facilitate the calculation of injury claim which would serve justice and accuracy of personal injury in road accidents
    Matched MeSH terms: Data Collection
  11. Fulltext Challenges and strengths in conducting a qualitative analysis
    NURUL HIDAYAH ZULKIPLI, SURIA BABA
    Malaysian Journal of Qualitative Research, 2017;4(1):53-59.
    MyJurnal
    The problem in analysing qualitative study is regularly highlighted when it comes to data analysis process. Unlike quantitative data that deals with numerical and statistical issues, analysing qualitative data requires the researcher to deal with understanding human experiences and interpreting the data. Therefore, validity and reliability of the analysis are often questioned and becomes a challenge in analysing data from qualitative research. The objective of this writing is to highlight some of the challenges and strengths in the qualitative research process. Validity, reliability, and credibility are among the challenges in analysing qualitative study. Rigor in conducting data collection helps in overcoming the problem in validity, reliability and credibility. In addition, in-depth understanding and triangulation techniques such as interview, document analysis and observation used in qualitative researches are among the strengths for qualitative study.
    Matched MeSH terms: Data Collection
  12. Fulltext DeepMoney: counterfeit money detection using generative adversarial networks
    Ali T, Jan S, Alkhodre A, Nauman M, Amin M, Siddiqui MS
    PeerJ Comput Sci, 2019;5:e216.
    PMID: 33816869 DOI: 10.7717/peerj-cs.216
    Conventional paper currency and modern electronic currency are two important modes of transactions. In several parts of the world, conventional methodology has clear precedence over its electronic counterpart. However, the identification of forged currency paper notes is now becoming an increasingly crucial problem because of the new and improved tactics employed by counterfeiters. In this paper, a machine assisted system-dubbed DeepMoney-is proposed which has been developed to discriminate fake notes from genuine ones. For this purpose, state-of-the-art models of machine learning called Generative Adversarial Networks (GANs) are employed. GANs use unsupervised learning to train a model that can then be used to perform supervised predictions. This flexibility provides the best of both worlds by allowing unlabelled data to be trained on whilst still making concrete predictions. This technique was applied to Pakistani banknotes. State-of-the-art image processing and feature recognition techniques were used to design the overall approach of a valid input. Augmented samples of images were used in the experiments which show that a high-precision machine can be developed to recognize genuine paper money. An accuracy of 80% has been achieved. The code is available as an open source to allow others to reproduce and build upon the efforts already made.
    Matched MeSH terms: Data Collection
  13. Fulltext Novel trajectory clustering method based on distance dependent Chinese restaurant process
    Arfa R, Yusof R, Shabanzadeh P
    PeerJ Comput Sci, 2019;5:e206.
    PMID: 33816859 DOI: 10.7717/peerj-cs.206
    Trajectory clustering and path modelling are two core tasks in intelligent transport systems with a wide range of applications, from modeling drivers' behavior to traffic monitoring of road intersections. Traditional trajectory analysis considers them as separate tasks, where the system first clusters the trajectories into a known number of clusters and then the path taken in each cluster is modelled. However, such a hierarchy does not allow the knowledge of the path model to be used to improve the performance of trajectory clustering. Based on the distance dependent Chinese restaurant process (DDCRP), a trajectory analysis system that simultaneously performs trajectory clustering and path modelling was proposed. Unlike most traditional approaches where the number of clusters should be known, the proposed method decides the number of clusters automatically. The proposed algorithm was tested on two publicly available trajectory datasets, and the experimental results recorded better performance and considerable improvement in both datasets for the task of trajectory clustering compared to traditional approaches. The study proved that the proposed method is an appropriate candidate to be used for trajectory clustering and path modelling.
    Matched MeSH terms: Data Collection
  14. Fulltext Review of Recent Microwave Planar Resonator-Based Sensors: Techniques of Complex Permittivity Extraction, Applications, Open Challenges and Future Research Directions
    Alahnomi RA, Zakaria Z, Yussof ZM, Althuwayb AA, Alhegazi A, Alsariera H, et al.
    Sensors (Basel), 2021 Mar 24;21(7).
    PMID: 33804904 DOI: 10.3390/s21072267
    Recent developments in the field of microwave planar sensors have led to a renewed interest in industrial, chemical, biological and medical applications that are capable of performing real-time and non-invasive measurement of material properties. Among the plausible advantages of microwave planar sensors is that they have a compact size, a low cost and the ease of fabrication and integration compared to prevailing sensors. However, some of their main drawbacks can be considered that restrict their usage and limit the range of applications such as their sensitivity and selectivity. The development of high-sensitivity microwave planar sensors is required for highly accurate complex permittivity measurements to monitor the small variations among different material samples. Therefore, the purpose of this paper is to review recent research on the development of microwave planar sensors and further challenges of their sensitivity and selectivity. Furthermore, the techniques of the complex permittivity extraction (real and imaginary parts) are discussed based on the different approaches of mathematical models. The outcomes of this review may facilitate improvements of and an alternative solution for the enhancement of microwave planar sensors' normalized sensitivity for material characterization, especially in biochemical and beverage industry applications.
    Matched MeSH terms: Data Collection
  15. Fulltext Analysis of tuberculosis program management in primary health care
    Juliasih NN, Soedarsono, Sari RM
    Infect Dis Rep, 2020 07 07;12(Suppl 1):8728.
    PMID: 32874460 DOI: 10.4081/idr.2020.8728
    Background: This study discusses the analysis of Tuberculosis (TB) program management at the Perak Timur Primary Health Care (PHC) and the Sawahan PHC in Surabaya. Early detection and adequate treatment can prevent transmission and improve control programs.

    Objective: This study aims to analyze management of the tuberculosis program at PHCs in Surabaya.

    Methods: The research method used is qualitative research. Data collection was done by interviewing tuberculosis officers about TB program and carrying out observations at the PHCs.

    Results: The study showed that case finding in the Perak Timur PHC and the Sawahan PHC was passive-active. The Perak Timur PHC has facilities for rapid molecular testing, while the Sawahan PHC have to go to a center for Health Laboratory if rapid molecular testing is needed. In terms of treatment, patients at the Perak Timur PHC would come according to an agreement with TB officer, while at the Sawahan PHC, patients have to come every Monday. Officer at the Perak Timur PHC tended to accommodate the needs of TB patients compared to officer at the Sawahan PHC. The level of adherence to taking medication in two PHCs is good but there are a number of patients who have not really understood the frequency of taking medication.

    Conclusion: Generally, both PHCs have good TB program management but the Perak Timur PHC tends to be more flexible towards patients while the Sawahan PHC tends to be stricter towards patients.

    Matched MeSH terms: Data Collection
  16. Fulltext Development of Automatic Reminder System for Geriatric Medicine Intake
    Aisyah Rahimi, Hamimi Zakri, Azira Khalil
    Malaysian Journal of Science, Health & Technology, 2021;7(1):8-14.
    MyJurnal
    The consumption of medicine is typical in geriatrics, having many problems related to medications. Geriatrics often forget to take their medicine, and this problem can be overcome by using an automatic reminder system. In this study, an automated reminder system is developed as an improved community element, acting as a system that can help geriatric in taking their medicine on time, thus, boosting their health condition. This reminder system also includes an interaction between the geriatrics and their caretakers. This reminder system includes Arduino UNO as the microcontroller, with the notification system, Blynk Application, a buzzer, and a light-emitting diode (LED) system. To make this reminder system more versatile, the buzzer will alarm during the medicine intake time, giving information to the elderly on which medicine to take. When the time has reached to take medication, the buzzer will produce a sound. Suppose the medicine box opens after the buzzer's sound and is detected by the passive infrared sensor (PIR sensor). In that case, the caretaker will receive a notification through the Blynk application that the geriatric already took medicine. On the contrary, if the medicine box is not open after 3 minutes following the buzzer's sound, which indicates that the geriatric did not take their medicine, the system will not send a notification to their caretakers on the status. This prototype is tested on ten users for its accuracy and effectiveness. It is believed that this system can provide geriatrics more alert in taking their medicine on time, enhancing their health status.

    Matched MeSH terms: Data Collection
  17. Fulltext Ranking negative emissions technologies under uncertainty
    Ng WY, Low CX, Putra ZA, Aviso KB, Promentilla MAB, Tan RR
    Heliyon, 2020 Dec;6(12):e05730.
    PMID: 33364497 DOI: 10.1016/j.heliyon.2020.e05730
    Existing mitigation strategies to reduce greenhouse gas (GHG) emissions are inadequate to reach the target emission reductions set in the Paris Agreement. Hence, the deployment of negative emission technologies (NETs) is imperative. Given that there are multiple available NETs that need to be evaluated based on multiple criteria, there is a need for a systematic method for ranking and prioritizing them. Furthermore, the uncertainty in estimating the techno-economic performance levels of NETs is a major challenge. In this work, an integrated model of fuzzy analytical hierarchy process (AHP) and interval-extended Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed to address the multiple criteria, together with data uncertainties. The potential of NETs is assessed through the application of this hybrid decision model. Sensitivity analysis is also conducted to evaluate the robustness of the ranking generated. The result shows Bioenergy with Carbon Capture and Storage (BECCS) as the most optimal alternative for achieving negative emission goals since it performed robustly in the different criteria considered. Meanwhile, energy requirement emerged as the most preferred or critical criterion in the deployment of NETs based on the decision-maker. This paper renders a new research perspective for evaluating the viability of NETs and extends the domains of the fuzzy AHP and interval-extended TOPSIS hybrid model.
    Matched MeSH terms: Data Collection
  18. Fulltext Dataset of computed N-value and factual N-value traced for Soil Subsurface Profiling
    Jusoh H, Sabariah Binti Abd Manan T, Beddu S, Osman SBS, Jusoh MNH, Mohtar WHMW, et al.
    Data Brief, 2020 Aug;31:105868.
    PMID: 32637485 DOI: 10.1016/j.dib.2020.105868
    Soil requires load bearing impact assessment for stability. Therefore, this study aims to utilize the multi-channel analysis surface wave (MASW) for soil subsurface investigation and profiling around Peninsular Malaysia. The standard penetration test (SPT) was conducted for comparison between factual N-value and computed N-value from shear wave velocity (Vs ) obtained from MASW using the Imai and Tonouchi equation. The correlation coefficient (R) and coefficient of determination, (R2 ), showed strong relationship between factual N-value and computed N-value. The model of Vs and factual N-value data distribution is non-normal but the analyzed relationship shows a significant level of p-value < 0.05. The R2 for each location of Vs -N-value relationship are ranging from 0.5 to 0.9.
    Matched MeSH terms: Data Collection
  19. Fulltext 3D Transparent Object Detection and Reconstruction Based on Passive Mode Single-Pixel Imaging
    Mathai A, Guo N, Liu D, Wang X
    Sensors (Basel), 2020 Jul 29;20(15).
    PMID: 32751165 DOI: 10.3390/s20154211
    Transparent object detection and reconstruction are significant, due to their practical applications. The appearance and characteristics of light in these objects make reconstruction methods tailored for Lambertian surfaces fail disgracefully. In this paper, we introduce a fixed multi-viewpoint approach to ascertain the shape of transparent objects, thereby avoiding the rotation or movement of the object during imaging. In addition, a simple and cost-effective experimental setup is presented, which employs two single-pixel detectors and a digital micromirror device, for imaging transparent objects by projecting binary patterns. In the system setup, a dark framework is implemented around the object, to create shades at the boundaries of the object. By triangulating the light path from the object, the surface shape is recovered, neither considering the reflections nor the number of refractions. It can, therefore, handle transparent objects with a relatively complex shape with the unknown refractive index. The implementation of compressive sensing in this technique further simplifies the acquisition process, by reducing the number of measurements. The experimental results show that 2D images obtained from the single-pixel detectors are better in quality with a resolution of 32×32. Additionally, the obtained disparity and error map indicate the feasibility and accuracy of the proposed method. This work provides a new insight into 3D transparent object detection and reconstruction, based on single-pixel imaging at an affordable cost, with the implementation of a few numbers of detectors.
    Matched MeSH terms: Data Collection
  20. Observation of the Production of Three Massive Gauge Bosons at sqrt[s]=13  TeV
    Sirunyan AM, Tumasyan A, Adam W, Ambrogi F, Bergauer T, Dragicevic M, et al.
    Phys Rev Lett, 2020 Oct 09;125(15):151802.
    PMID: 33095594 DOI: 10.1103/PhysRevLett.125.151802
    The first observation is reported of the combined production of three massive gauge bosons (VVV with V=W, Z) in proton-proton collisions at a center-of-mass energy of 13 TeV. The analysis is based on a data sample recorded by the CMS experiment at the CERN LHC corresponding to an integrated luminosity of 137  fb^{-1}. The searches for individual WWW, WWZ, WZZ, and ZZZ production are performed in final states with three, four, five, and six leptons (electrons or muons), or with two same-sign leptons plus one or two jets. The observed (expected) significance of the combined VVV production signal is 5.7 (5.9) standard deviations and the corresponding measured cross section relative to the standard model prediction is 1.02_{-0.23}^{+0.26}. The significances of the individual WWW and WWZ production are 3.3 and 3.4 standard deviations, respectively. Measured production cross sections for the individual triboson processes are also reported.
    Matched MeSH terms: Data Collection
Related Terms
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links