Displaying publications 441 - 460 of 799 in total

Abstract:
Sort:
  1. Impact of shoreline changes to pahang coastal area by using geospatial technology
    Fazly Amri Mohd, Khairul Nizam Abdul Maulud, Othman A. Karim, Rawshan Ara Begum, Siti Norsakinah Selamat
    Sains Malaysiana, 2018;47:991-997.
    Malaysia has a long coastline stretching over 4,809 km where more than 1,300 km of beaches are experiencing erosion.
    Coastal erosion is recognised as the permanent loss of land and habitats along the shoreline resulting in the changes
    of the coast. Thus, it is important to detect and monitor shoreline changes especially in Pahang coast by identifying the
    rate of shoreline erosion and accretion. This study used temporal data and high spatial resolution imagery (SPOT 5) using
    remote sensing and GIS techniques to monitor shoreline changes along 10 study locations, which is from Cherating to
    Pekan of the Pahang coast. The total length of shoreline changes is about 14 km (14035.10 m) where all these areas are
    very likely to experience erosion ranging from 0.1 to 94.7 ha. On the other hand, these coastal areas found a minimal
    accretion with increased sediment from 0.1 to 2.8 ha. Overall, the coastal areas are exposed to higher erosion process
    than accretion with a very high vulnerability of erosion rate from 1.8 to 20.9 meter per year. The findings on monitoring
    shoreline changes and identifying vulnerable erosion areas might be useful in the policy and decision making for
    sustainable coastal management.
    Matched MeSH terms: Remote Sensing Technology
  2. Fulltext Energy harvesting based routing protocol for underwater sensor networks
    Khan A, Khan M, Ahmed S, Abd Rahman MA, Khan M
    PLoS One, 2019;14(7):e0219459.
    PMID: 31314772 DOI: 10.1371/journal.pone.0219459
    Underwater sensor networks (UWSNs) are ad-hoc networks which are deployed at rivers, seas and oceans to explore and monitor the phenomena such as pollution control, seismic activities and petroleum mining etc. The sensor nodes of UWSNs have limited charging capabilities. UWSNs networks are generally operated under two deployment mechanisms i.e localization and non-localization based. However, in both the mechanisms, balanced energy utilization is a challenging issue. Inefficient usage of energy significantly affects stability period, packet delivery ratio, end-to-end delay, path loss and throughput of a network. To efficiently utilize and harvest energy, this paper present a novel scheme called EH-ARCUN (Energy Harvesting Analytical approach towards Reliability with Cooperation for UWSNs) based on cooperation with energy harvesting. The scheme employs Amplify-and-Forward (AF) technique at relay nodes for data forwarding and Fixed Combining Ratio (FCR) technique at destination node to select accurate signal. The proposed technique selects relay nodes among its neighbor nodes based on harvested energy level. Most cooperation-based UWSN routing techniques do not exhibit energy harvesting mechanism at the relay nodes. EH-ARCUN deploys piezoelectric energy harvesting at relay nodes to improve the working capabilities of sensors in UWSNs. The proposed scheme is an extension of our previously implemented routing scheme called ARCUN for UWSNs. Performance of the proposed scheme is compared with ARCUN and RACE (Reliability and Adaptive Cooperation for efficient Underwater sensor Networks) schemes in term of stability period, packet delivery ratio, network throughput and path loss. Extensive simulation results show that EH-ARCUN performs better than both previous schemes in terms of the considered parameters.
    Matched MeSH terms: Wireless Technology
  3. Fulltext The effectiveness of interactive learning in manufacturing engineering
    Nadia Abdul Rani, Faieza Abdul Aziz, Rohidatun M,W.
    Journal of Engineering and Science Research, 2018;2(6):10-16.
    MyJurnal
    Interactive learning is a pedagogical model that encourages students to be part of the lesson instead of passive observers, quietly sitting at a desk taking notes or memorizing information. Students interact with the material, each other and the teacher in an active way. The new emerging technologies that can overcome some of the potential difficulties in this area includes computer graphics, augmented reality, computational dynamics, and virtual worlds. Therefore, the manufacturing industry relies on new design concepts and methods undertake the challenges in integrating technologies to expedite the march towards industrial revolution 4.0.This paper reviews and investigates the current context of the use of interactive learning such as Virtual Reality(VR),Augmented Reality(AR),Computer aided design and manufacturing(CADCAM), computer graphics, computational dynamics and new emerging technologies that effect on students and lectures in learning and teaching environments for Manufacturing Engineering. Interactive learning is part of the factors that could influence the self-learning and regulations environments.
    Matched MeSH terms: Technology
  4. Fulltext The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
    Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah YW, et al.
    Sci Data, 2020 07 09;7(1):225.
    PMID: 32647314 DOI: 10.1038/s41597-020-0534-3
    The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.
    Matched MeSH terms: Remote Sensing Technology
  5. Fulltext Bending effects study on flexible wearable antenna for 2.45 GHz body centric wireless communications
    Aslina A. Bakar, Amirul A. Mustafa, Ahmad R. Razali, Norhayati Mutalib, Amirudin Ibrahim
    ESTEEM Academic Journal, 2020;16(2):75-87.
    MyJurnal
    This study aims to investigate the bending effects on the flexible wearable antenna by using copper nanowires and polydimethylsiloxane (PDMS). This project focuses on the bending effect on the proposed wearable antenna in the presence of skin tissue and at free space. The radiation characteristics were simulated and analyzed when the antenna was under flat and bent conditions. The performance result of return loss and radiation pattern (Efield and H-field) of proposed wearable antenna was analyzed. The material for the proposed antenna is designed to be flexible and wearable for the application of body-centric wireless communication (BCWCs) at the frequency of 2.45 GHz with the approval specifications of industrial, scientific and medical (ISM) band. Radiator for the proposed wearable antenna is fabricated using copper nanowire, and the antenna substrate is by using polydimethylsiloxane (PDMS). The performance result of the proposed wearable antenna was simulated by using CST microwave studio. From the simulated result for different bending angles, a conclusion was drawn that bending of structure can improve the impedance matching and return loss during the bent condition. However, the resonant frequency tends to shift as the antenna is bent up to 50°. At the critical angle of 70°, the frequency is shifted to a lower frequency.
    Matched MeSH terms: Wireless Technology
  6. Fulltext Molecular Dynamics Simulation of Nanocellulose-Stabilized Pickering Emulsions
    Lee KK, Low DYS, Foo ML, Yu LJ, Choong TSY, Tang SY, et al.
    Polymers (Basel), 2021 Feb 23;13(4).
    PMID: 33672331 DOI: 10.3390/polym13040668
    While the economy is rapidly expanding in most emerging countries, issues coupled with a higher population has created foreseeable tension among food, water, and energy. It is crucial for more sustainable valorization of resources, for instance, nanocellulose, to address the core challenges in environmental sustainability. As the complexity of the system evolved, the timescale of project development has increased exponentially. However, research on the design and operation of integrated nanomaterials, along with energy supply, monitoring, and control infrastructure, has seriously lagged. The development cost of new materials can be significantly reduced by utilizing molecular simulation technology in the design of nanostructured materials. To realize its potential, nanocellulose, an amphiphilic biopolymer with the presence of rich -OH and -CH structural groups, was investigated via molecular dynamics simulation to reveal its full potential as Pickering emulsion stabilizer at the molecular level. This work has successfully quantified the Pickering stabilization mechanism profiles by nanocellulose, and the phenomenon could be visualized in three stages, namely the initial homogenous phase, rapid formation of micelles and coalescence, and lastly the thermodynamic equilibrium of the system. It was also observed that the high bead order was always coupled with a high volume of phase separation activities, through a coarse-grained model within 20,000 time steps. The outcome of this work would be helpful to provide an important perspective for the future design and development of nanocellulose-based emulsion products, which cater for food, cosmeceutical, and pharmaceutical industries.
    Matched MeSH terms: Technology
  7. Fulltext Implementing uberization in malaysian healthcare services
    Rajesh Kumar Muniandy, Merly Grace Lansing
    Borneo Journal of Medical Sciences, 2020;14(2):53-57.
    MyJurnal
    Getting appropriate healthcare is a challenge to the citizens in Malaysia due to the limited facilities, healthcare providers, and cost of healthcare. Uberization of healthcare will help fill this gap. Uberization helps modify the market or economic model with the introduction of a cheaper and more effective alternative service by introducing a different way of buying or using it, with the use of mobile technology. With powerful artificial intelligence engines operating on cloud servers, mobile apps can provide a better healthcare experience for patients. With uberization application, the patient need not come to the hospital to see a doctor before a treatment can be planned. Once a request is made by the patient, the healthcare providers can come to see the patient at an agreed place. This article aims to explore the possible uberization of healthcare in Malaysia.
    Matched MeSH terms: Technology
  8. Fulltext ARTYCUL: A Privacy-Preserving ML-Driven Framework to Determine the Popularity of a Cultural Exhibit on Display
    Tanwar G, Chauhan R, Yafi E
    Sensors (Basel), 2021 Feb 22;21(4).
    PMID: 33671822 DOI: 10.3390/s21041527
    We present ARTYCUL (ARTifact popularitY for CULtural heritage), a machine learning(ML)-based framework that graphically represents the footfall around an artifact on display at a museum or a heritage site. The driving factor of this framework was the fact that the presence of security cameras has become universal, including at sites of cultural heritage. ARTYCUL used the video streams of closed-circuit televisions (CCTV) cameras installed in such premises to detect human figures, and their coordinates with respect to the camera frames were used to visualize the density of visitors around the specific display items. Such a framework that can display the popularity of artifacts would aid the curators towards a more optimal organization. Moreover, it could also help to gauge if a certain display item were neglected due to incorrect placement. While items of similar interest can be placed in vicinity of each other, an online recommendation system may also use the reputation of an artifact to catch the eye of the visitors. Artificial intelligence-based solutions are well suited for analysis of internet of things (IoT) traffic due to the inherent veracity and volatile nature of the transmissions. The work done for the development of ARTYCUL provided a deeper insight into the avenues for applications of IoT technology to the cultural heritage domain, and suitability of ML to process real-time data at a fast pace. While we also observed common issues that hinder the utilization of IoT in the cultural domain, the proposed framework was designed keeping in mind the same obstacles and a preference for backward compatibility.
    Matched MeSH terms: Technology
  9. Fulltext Innovative Self-Confidence Webinar Intervention for Depression in the Workplace: A Focus Group Study and Systematic Development
    Wan Mohd Yunus WMA, Musiat P, Brown JSL
    Behav Sci (Basel), 2020 Dec 16;10(12).
    PMID: 33339086 DOI: 10.3390/bs10120193
    Brief face-to-face self-confidence workshops were effective in reducing depression among the public. Technological advances have enabled traditional face-to-face interventions to be adapted using unique technology-mediated platforms. This article details the formative development of a self-confidence web-based seminar (webinar) intervention for workplace depression. The first section discusses a qualitative study that explores the feasibility and acceptability of adapting the self-confidence workshops into a webinar platform on employees in the workplace. The second section describes the systematic development of this new webinar intervention informed by the qualitative study findings, a published systematic review, and previous face-to-face self-confidence workshops. The qualitative study involves three focus groups (n = 10) conducted in a small organization. Three themes were identified relevant to the running of the new self-confidence webinars in the workplace: personal (content, time and duration preference, features of the webinar, individual participation, personalization), interpersonal (stigma from others, engagement with participants/presenter, moderated interaction), and organizational (endorsement from management, work demand). For the intervention development, the format, structure, features, and content of the self-confidence webinar intervention are described. Features such as file sharing, virtual whiteboard, live chat, and poll are explained with the intervention primarily based on cognitive behavior therapy and coping flexibility concepts.
    Matched MeSH terms: Technology
  10. Fulltext Teaching listening skills in the 21st century
    Wan Faizatul Azirah Ismayatim, Nur Dalila Mohamad Nazri, Ramiaida Darmi, Nursyuhada’ Ab Wahab, Nur Adibah Zamri, Haliza Harun, et al.
    Jurnal Inovasi Malaysia, 2020;4(1):173-192.
    MyJurnal
    This paper presents an innovation of a revolutionized self-directed English learning module entitled My Electronic Visual and Audio (MyEVO), which is designed and developed to assist language learners to conveniently acquire the required listening skills through the combination of current and state-of-the-art technology - Augmented Reality (AR) and mobile applications. Using Video Media method introduced by Gruba (1997, 2004), all listening practices in this module are based on video recording. Feedbacks gained from the users of the module indicate that learners are very excited and happy to use technology assisted module in acquiring listening skills compared to the traditional module. Educators also believe that this module cater the needs of the 21st century learners and is suitable to be used inside the classroom or as a self-directed learning module. Another key feature of this smart module highlighted by the educators is the ability of the mobile application that allows learners to engage with the e-global community known as ‘MyEVO community, where all users can share their answers and exchange opinions regarding the given questions. In addition, listening activities that were designed in this module also cover the Higher Order Thinking Skills (HOTS) needed in learning. Educators also agreed that this interactive feature does not only encourage the learners to be active in their learning but it also helps to reduce their anxiety, learning process becomes more interesting and helps to aid their understanding of the topics covered.
    Matched MeSH terms: Technology
  11. Fulltext Chromozone: iOS-based exercise heart rate application using universal colour-coding system
    Adam Linoby, Jamiaton Kusrin, Muhammad Iskandar Asraff, Muhammad Azamuddin Rodzi, Sufyan Zaki, Hosni Hasan
    Jurnal Inovasi Malaysia, 2020;4(1):193-208.
    MyJurnal
    The conventional heart rate monitor is usually developed with a numeric digital display. This numerical view is obviously not practical to be used during exercise. In this study, the iOS-based mobile application, called Chromozone, was developed to monitor heart rate using the universal color-coding system. The heart rate monitor during the exercise is designed to notify the exercise intensity information to users using the three universal color-coded (i.e. green zone: optimal heart rate; yellow zone: heart rate lower than the optimal zone, and red zone: heart rate higher than the optimal zone). Chromozone is programmed to display uniform colors across the smart phone display, which allows users to easily be informed in regards to the state of exercise intensity. The transfer of heart rate data from the chest transmitter to Chromozone application is designed to use Bluetooth Low Energy (BLE) system technology. The heart rate data is then processed by the application to determine the intensity range of exercise training heart rate based on the user’s personal input (i.e. age, gender, fitness levels and training objective). Preliminary analysis found that Chromozone application is effective in delivering real-time exercise intensity heart rate. Chromozone could potentially help athletes, active individuals and clinical populations to monitor and regulate their workout training regime in a more effective and safer manner.
    Matched MeSH terms: Technology
  12. Fulltext The Effects of Various Concentrations of NaOH on the Inter-Particle Gelation of a Fly Ash Geopolymer Aggregate
    Abdullah A, Hussin K, Abdullah MMAB, Yahya Z, Sochacki W, Razak RA, et al.
    Materials (Basel), 2021 Feb 27;14(5).
    PMID: 33673522 DOI: 10.3390/ma14051111
    Aggregates can be categorized into natural and artificial aggregates. Preserving natural resources is crucial to ensuring the constant supply of natural aggregates. In order to preserve these natural resources, the production of artificial aggregates is beginning to gain the attention of researchers worldwide. One of the methods involves using geopolymer technology. On this basis, this current research focuses on the inter-particle effect on the properties of fly ash geopolymer aggregates with different molarities of sodium hydroxide (NaOH). The effects of synthesis parameters (6, 8, 10, 12, and 14 M) on the mechanical and microstructural properties of the fly ash geopolymer aggregate were studied. The fly ash geopolymer aggregate was palletized manually by using a hand to form a sphere-shaped aggregate where the ratio of NaOH/Na2SiO3 used was constant at 2.5. The results indicated that the NaOH molarity has a significant effect on the impact strength of a fly ash geopolymer aggregate. The highest aggregate impact value (AIV) was obtained for samples with 6 M NaOH molarity (26.95%), indicating the lowest strength among other molarities studied and the lowest density of 2150 kg/m3. The low concentration of sodium hydroxide in the alkali activator solution resulted in the dissolution of fly ash being limited; thus, the inter-particle volume cannot be fully filled by the precipitated gels.
    Matched MeSH terms: Technology
  13. Robotic Mounted Rail Arm System for implementing effective workplace safety for migrant workers
    Wei H, Rahman MA, Hu X, Zhang L, Guo L, Tao H, et al.
    Work, 2021;68(3):845-852.
    PMID: 33612527 DOI: 10.3233/WOR-203418
    BACKGROUND: The selection of orders is the method of gathering the parts needed to assemble the final products from storage sites. Kitting is the name of a ready-to-use package or a parts kit, flexible robotic systems will significantly help the industry to improve the performance of this activity. In reality, despite some other limitations on the complexity of components and component characteristics, the technological advances in recent years in robotics and artificial intelligence allows the treatment of a wide range of items.

    OBJECTIVE: In this article, we study the robotic kitting system with a Robotic Mounted Rail Arm System (RMRAS), which travels narrowly to choose the elements.

    RESULTS: The objective is to evaluate the efficiency of a robotic kitting system in cycle times through modeling of the elementary kitting operations that the robot performs (pick and room, move, change tools, etc.). The experimental results show that the proposed method enhances the performance and efficiency ratio when compared to other existing methods.

    CONCLUSION: This study with the manufacturer can help him assess the robotic area performance in a given design (layout and picking a policy, etc.) as part of an ongoing project on automation of kitting operations.

    Matched MeSH terms: Technology
  14. Fulltext RF-Based Moisture Content Determination in Rice Using Machine Learning Techniques
    Azmi N, Kamarudin LM, Zakaria A, Ndzi DL, Rahiman MHF, Zakaria SMMS, et al.
    Sensors (Basel), 2021 Mar 08;21(5).
    PMID: 33800174 DOI: 10.3390/s21051875
    Seasonal crops require reliable storage conditions to protect the yield once harvested. For long term storage, controlling the moisture content level in grains is challenging because existing moisture measuring techniques are time-consuming and laborious as measurements are carried out manually. The measurements are carried out using a sample and moisture may be unevenly distributed inside the silo/bin. Numerous studies have been conducted to measure the moisture content in grains utilising dielectric properties. To the best of authors' knowledge, the utilisation of low-cost wireless technology operating in the 2.4 GHz and 915 MHz ISM bands such as Wireless Sensor Network (WSN) and Radio Frequency Identification (RFID) have not been widely investigated. This study focuses on the characterisation of 2.4 GHz Radio Frequency (RF) transceivers using ZigBee Standard and 868 to 915 MHz UHF RFID transceiver for moisture content classification and prediction using Artificial Neural Network (ANN) models. The Received Signal Strength Indicator (RSSI) from the wireless transceivers is used for moisture content prediction in rice. Four samples (2 kg of rice each) were conditioned to 10%, 15%, 20%, and 25% moisture contents. The RSSI from both systems were obtained and processed. The processed data is used as input to different ANNs models such as Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Random Forest, and Multi-layer Perceptron (MLP). The results show that the Random Forest method with one input feature (RSSI_WSN) provides the highest accuracy of 87% compared to the other four models. All models show more than 98% accuracy when two input features (RSSI_WSN and RSSI_TAG2) are used. Hence, Random Forest is a reliable model that can be used to predict the moisture content level in rice as it gives a high accuracy even when only one input feature is used.
    Matched MeSH terms: Wireless Technology
  15. Development and Practical Application of a Multiple-Criteria Decision Analysis Framework on Respiratory Inhalers: Is It Always Useful in the MOH Malaysia Medicines Formulary Listing Context?
    Yong YV, Mahamad Dom SH, Ahmad Sa'ad N, Lajis R, Md Yusof FA, Abdul Rahaman JA
    MDM Policy Pract, 2021 03 30;6(1):2381468321994063.
    PMID: 33855190 DOI: 10.1177/2381468321994063
    Objectives. The current health technology assessment used to evaluate respiratory inhalers is associated with limitations that have necessitated the development of an explicit formulary decision-making framework to ensure balance between the accessibility, value, and affordability of medicines. This study aimed to develop a multiple-criteria decision analysis (MCDA) framework, apply the framework to potential and currently listed respiratory inhalers in the Ministry of Health Medicines Formulary (MOHMF), and analyze the impacts of applying the outputs, from the perspective of listing and delisting medicines in the formulary. Methods. The overall methodology of the framework development adhered to the recommendations of the ISPOR MCDA Emerging Good Practices Task Force. The MCDA framework was developed using Microsoft Excel 2010 and involved all relevant stakeholders. The framework was then applied to 27 medicines, based on data gathered from the highest levels of available published evidence, pharmaceutical companies, and professional opinions. The performance scores were analyzed using the additive model. The end values were then deliberated by an expert committee. Results. A total of eight main criteria and seven subcriteria were determined by the stakeholders. The economic criterion was weighted at 30%. Among the noneconomic criteria, "patient suitability" was weighted the highest. Based on the MCDA outputs, the expert committee recommended one potential medicine (out of three; 33%) be added to the MOHMF and one existing medicine (out of 24; 4%) be removed/delisted from the MOHMF. The other existing medicines remained unchanged. Conclusions. Although this framework was useful for deciding to add new medicines to the formulary, it appears to be less functional and impactful for the removal/delisting existing medicines from the MOHMF. The generalizability of this conclusion to other formulations remains to be confirmed.
    Matched MeSH terms: Technology Assessment, Biomedical
  16. Fulltext Does quality stimulate customer satisfaction where perceived value mediates and the usage of social media moderates?
    Uzir MUH, Jerin I, Al Halbusi H, Hamid ABA, Latiff ASA
    Heliyon, 2020 Dec;6(12):e05710.
    PMID: 33367128 DOI: 10.1016/j.heliyon.2020.e05710
    Customer is considered as the king in the world of business. The issue of customer satisfaction in electronics home appliances has received greater attention from academics and practitioners. In other words, customer satisfaction is a vital consideration in marketing. With the development of technology, new and innovative electronic home appliances are available in the market. Customers purchase and use the costly electronic home appliances where the satisfaction issue is an important concern. In Bangladesh, working families find the electronic home appliance very necessary. Companies offer state-of- the-art appliances for customers' household works. Therefore, the study intends to investigate the effect of product quality (PQ), quality of service (SQ) and perceived value on customer satisfaction (CS). In addition, this study also seeks this relationship shaped by customer's perceived value (CPV) as a key mechanism and interacted by social media usage. A total of 300 households were selected on a judgmental basis from Dhaka city in Bangladesh using a structured questionnaire. Collected data were CB-SEM (AMOS-v24) and SPSS. The findings showed PQ and SQ have positive effects on CS; SQ affects, but PQ does not affect CPV. CPV has a mixing mediating effect on SQ and CS relationship and PQ and CS relationship. Importantly, the positive impact of PQ, SQ and CPV is greater on customers who exhibit higher social media use. The conceptual framework was buttressed by EDT theory. The study contributed to contextual and theoretical knowledge in regards to home appliances. The practicing managers can collect an insight of customer satisfaction for their business.
    Matched MeSH terms: Technology
  17. Fulltext A review on Malaysia's solar energy pathway towards carbon-neutral Malaysia beyond Covid'19 pandemic
    Vaka M, Walvekar R, Rasheed AK, Khalid M
    J Clean Prod, 2020 Nov 10;273:122834.
    PMID: 32834565 DOI: 10.1016/j.jclepro.2020.122834
    COVID'19 pandemic has devastated several industries and solar energy is no exception. In its economic relief package, Malaysia has announced approximately US$ 2.9 billion in expenditure for the installation of new grids, LED street lights and rooftop solar panels. The Government will also open the tender for a 1400 MW solar power project in the year 2020, which is expected to generate 5 billion ringgit (US$1.1 billion) in investments. As these measures are intended to sustain the existing growth of solar energy potential in the country, it is vital to assess its status quo. Hence, this paper aims to review the current status of renewable energy in Malaysia as well as the initiatives taken before the pandemic to promote solar photovoltaic (PV) technology to meet the energy demands through the low-carbon pathway.
    Matched MeSH terms: Technology
  18. Fulltext Biosynthesis of nanoparticles using recombinant bromelain
    Arina Nasruddin, Azura Amid, Muhd Ezza Faiez Othman
    Biological and Natural Resources Engineering Journal, 2018;1(1):14-25.
    MyJurnal
    Green chemical method was applied to synthesize nanoparticles using recombinant
    bromelain. Among the numerous applications of recombinant bromelain, there is still no research
    on nanoparticles synthesis which encourages its utilization in this study. Four chemicals which are
    copper (II) chloride dihydrate (CuCl2.2H2O), cerium nitrate hexahydrate (Ce(NO3)3.6H2O), sodium
    selenite (Na2SeO3), and iron (III) chloride hexahydrate (FeCl3.6H2O) were selected to be screened
    for the suitability in nanoparticles biosynthesis by recombinant bromelain. The nanoparticles
    formed were characterized by using UV-visible absorption spectra. The biosynthesis process then
    was optimized by varying the centrifugation speed, temperature, and time to get the maximum
    absorption and weight of nanoparticles through central composite design (CCD) tool. Only
    CuCl2.2H2O showed a positive result for the screening process which was represented by the
    formation of colloidal solution and a maximum absorption at 580 nm. Thus, optimization was
    carried out for this chemical. Based on the optimization model, maximum absorption and weight
    were predicted at 67.5°C, 2 hrs, and 9,600 rpm. These optimal conditions were validated by
    repeating the biosynthesis process. The absorption and weight of the nanoparticles depended on the
    reaction of the chemical with recombinant bromelain. 3D plots showed that the optimal condition
    for high responses mostly depends on temperature and time.
    Matched MeSH terms: Green Chemistry Technology
  19. Fulltext Molecular identification and phylogenetic analysis of a Callosciurus notatus complete mitogenome from Peninsular Malaysia
    Jahari PNS, Mohd Azman S, Munian K, Ahmad Ruzman NH, Shamsir MS, Richter SR, et al.
    Mitochondrial DNA B Resour, 2020 Aug 26;5(3):3004-3006.
    PMID: 33458034 DOI: 10.1080/23802359.2020.1797583
    The mitogenome of a plantain squirrel, Callosciurus notatus, collected from Bukit Tarek Forest Reserve (Extension), Selangor, Malaysia was sequenced using BGISEQ-500RS technology. The 16,582 bp mitogenome consists of 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes, and 1 control region. A phylogenetic and BLASTn analysis against other available datasets showed that the mitogenome matched with 99.49% similarity to a previously published C. notatus mitogenome from Peninsular Malaysia. However, it also diverged by nearly 8% (92.24% match) from a second previously published mitogenome for the same species, sampled in East Kalimantan, Indonesia. This suggests a difference in landscape features between both localities might affect its genetic connectivity.
    Matched MeSH terms: Technology
  20. Fulltext FACTORS INFLUENCING CONSUMERS IN USING SHOPEE FOR ONLINE PURCHASE INTENTION IN EAST COAST MALAYSIA
    KIEW CHEE CHING, ZUHA ROSUFILA ABU HASAN, NADIA ABU HASAN
    UMT Journal of Undergraduate Research, 2021;3(1):45-56.
    MyJurnal
    Shopee online has become increasingly popular among consumers for purchasing purposes as compared to brick-and-mortar retail due to the benefits and enjoyment that come with it. However, Shopee has facing intense competitive challenges with other competitors in Malaysia. In addition, it is also difficult for Shopee to compete with major leader of online shopping portal although this platform offers the same function and usage as its contender. Hence, it is important to understand consumer perceptions on the benefit and intention of using Shopee. This study examines consumer perceived usefulness, perceived ease of use, perceived price, perceived convenience and perceived trust adapted from the Technology Acceptance Model (TAM). 208 respondents who have experience online purchasing in East Cost of Malaysia were invited to participate in this study using online survey. Data were analyzed using descriptive, correlation and multiple regression analyses. The findings show that perceived convenience and perceived trust have strong influence towards consumer intention to use Shopee as platform to do online purchase. It is suggested that this study will help practitioners to understand consumer online shopping perception and intention in order to induce visitation and usage of Shopee.
    Matched MeSH terms: Technology
Related Terms
Filters
Contact Us

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

External Links