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  1. Elpa DP, Prabhu GRD, Wu SP, Tay KS, Urban PL
    Talanta, 2020 Feb 01;208:120304.
    PMID: 31816721 DOI: 10.1016/j.talanta.2019.120304
    The developments in mass spectrometry (MS) in the past few decades reveal the power and versatility of this technology. MS methods are utilized in routine analyses as well as research activities involving a broad range of analytes (elements and molecules) and countless matrices. However, manual MS analysis is gradually becoming a thing of the past. In this article, the available MS automation strategies are critically evaluated. Automation of analytical workflows culminating with MS detection encompasses involvement of automated operations in any of the steps related to sample handling/treatment before MS detection, sample introduction, MS data acquisition, and MS data processing. Automated MS workflows help to overcome the intrinsic limitations of MS methodology regarding reproducibility, throughput, and the expertise required to operate MS instruments. Such workflows often comprise automated off-line and on-line steps such as sampling, extraction, derivatization, and separation. The most common instrumental tools include autosamplers, multi-axis robots, flow injection systems, and lab-on-a-chip. Prototyping customized automated MS systems is a way to introduce non-standard automated features to MS workflows. The review highlights the enabling role of automated MS procedures in various sectors of academic research and industry. Examples include applications of automated MS workflows in bioscience, environmental studies, and exploration of the outer space.
    Matched MeSH terms: Technology
  2. Suhartono Nurdin, Muzzneena Ahmad Mustapha, Tukimat Lihan, Mazlan Abd Ghaffar
    Sains Malaysiana, 2015;44:225-232.
    Analysis of relationship between sea surface temperature (SST) and Chlorophyll-a (chl-a) improves our understanding on the variability and productivity of the marine environment, which is important for exploring fishery resources. Monthly level 3 and daily level 1 images of Moderate Resolution Imaging Spectroradiometer Satellite (MODIS) derived SST and chl-a from July 2002 to June 2011 around the archipelagic waters of Spermonde Indonesia were used to investigate the relationship between SST and chl-a and to forecast the potential fishing ground of Rastrelliger kanagurta. The results indicated that there was positive correlation between SST and chl-a (R=0.3, p<0.05). Positive correlation was also found between SST and chl-a with the catch of R. kanagurta (R=0.7, p<0.05). The potential fishing grounds of R. kanagurta were found located along the coast (at accuracy of 76.9%). This study indicated that, with the integration of remote sensing technology, statistical modeling and geographic information systems (GIS) technique were able to determine the relationship between SST and chl-a and also able to forecast aggregation of R. kanagurta. This may contribute in decision making and reducing search hunting time and cost in fishing activities.
    Matched MeSH terms: Remote Sensing Technology
  3. Mohamed M. GahGah, Juhari Mat Akhir, Abdul Ghani M. Rafek, Ibrahim Abdullah
    Sains Malaysiana, 2009;38(6):827-833.
    The aim of this study is to investigate the factors that cause landslides in the area along the new road between Cameron Highlands and Gua Musang. Landslide factors such as lineaments have been extracted from remote sensing data (Landsat TM image) using ERDAS software. A soil map has been produced using field work and laboratory analysis, and the lithology, roads, drainage pattern and rainfall have been digitized using ILWIS software together with the slope angle and elevation from the Digital Elevation Model (DEM). All these parameters, which are vital for landslide hazard assessment, have been integrated into the geographical information system (GIS) for further data processing. Weightage for these landslide relevant factors related to their influence in landslide occurrence using the heuristic method has been carried out. The results from this combination through a modified ‘index overlay with multi class maps’ model was used to produce a landslide hazard zonation map. Five classes of potential landslide hazard have been derived as the following: very low hazard zone 17.27%, low hazard zone 39.35%, medium hazard zone 25.1%, high hazard zone 15.35% and very high hazard zone 2.93%. The results from this work have been checked through the landslide inventory using available aerial photos interpretation and field work, and show that the slope and elevation have the most direct affect on landslide occurrence.
    Matched MeSH terms: Remote Sensing Technology
  4. Anwar A, Liew J, Othman M, Latif M
    Sains Malaysiana, 2010;39:169-174.
    Biomass burning is one of the main sources of air pollution in South East Asia, predominantly during the dry period between June and October each year. Sumatra and Kalimantan, Indonesia, have been identified as the regions connected to biomass burning due to their involvement in agricultural activities. In Sumatra, the Province of Riau has always been found to have had the highest number of hotspots during haze episodes. This study aims to determine the concentration of five major pollutants (PM10, SO2, NO2, CO and O3) in Riau, Indonesia, for 2006 and 2007. It will also correlate the level of air pollutants to the number of hotspots recorded, using the hotspot information system introduced by the Malaysian Centre for Remote Sensing (MACRES). Overall, the concentration of air pollutants recorded was found to increase with the number of hotspots. Nevertheless, only the concentration of PM10 during a haze episode is significantly different when compared to its concentration in non-haze conditions. In fact, in August 2006, when the highest number of hotspots was recorded the concentration of PM10 was found to increase by more than 20% from its normal concentration. The dispersion pattern, as simulated by the Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT), showed that the distribution of PM10 was greatly influenced by the wind direction. Furthermore, the particles had the capacity to reach the Peninsular Malaysia within 42 hours of emission from the point sources as a consequence of the South West monsoon.
    Matched MeSH terms: Remote Sensing Technology
  5. Ali H. Ahmed Suliman, Webster Gumindoga, Ayob Katimon, Intan Zaurah Mat Darus
    Sains Malaysiana, 2014;43:1379-1388.
    This paper presents the application of TOPMODEL in the Pinang catchment of Malaysia for stream flow simulation. An attempt has been made to use remote-sensing data (ASTER DEM of 30 m resolution) as a primary input for TOPMODEL in order to simulate the stream flow pattern of this tropical catchment. A calibration period was executed based on 2007-2008 hydro-meteorological dataset which gave a satisfactory Nash-Sutcliffe model (NS) model efficiency of 0.749 and a relative volume error (RVE) of -19.2. The recession curve parameter (m) and soil transmissivity at saturation zone (To), were established as the most sensitive parameters through a sensitivity analysis processes. Hydro-meteorological datasets for the period between 2009 and 2010 were used to validate the model which resulted in satisfactory efficiencies of 0.774 (NS) and -19.84 (RVE), respectively. This study demonstrated the ability ASTER DEM acquired from remote sensing to generate the required TOPMODEL parameters for stream flow simulation which gives insights into better management of available water resources.
    Matched MeSH terms: Remote Sensing Technology
  6. Yang SR, Yeh YL
    Sains Malaysiana, 2015;44:1677-1683.
    Countering the dangers associated the present extreme climate not only requires continuous improvement of local disaster
    prevention engineering infrastructure but also needs an enhanced understanding of the causes of the disasters. This study
    investigates the geologic hazard risk of 53 slopeland villages in Pingtung county of southern Taiwan. First, remote sensing
    (RS) techniques were utilized to interpret environmental geology and geologic hazard zonation, including dip slope, fault,
    landslide and debris flow. GIS map overlay analysis was used to further identify the extent of the geologic hazard zonation.
    As a final step, field investigation is used to comprehend geologic, topographic conditions and the geologic hazard risk
    specific to each locality. Based on data analysis and field investigation results, this study successfully integrates RS, GIS
    and GPS techniques to construct a geologic hazard risk assessment method of slopeland village. The results of this study
    can be used to promote support for future disaster prevention and disaster mitigation efforts.
    Matched MeSH terms: Remote Sensing Technology
  7. Ibrahim A, Haruna JA
    The study investigated the effects of flipped and conventional classroom teaching approach on performance and retention ability of advance financial accounting students in Abubakar Tafawa Balewa University Bauchi, Nigeria. The study had three specific objectives and three null hypotheses. Quasiexperimental design of pre-test, post-test I and post-test II was used for the study. The study used an intact class of 76 students that offered advance financial accounting in 2015/2016 academic session in the institution. Three instruments were used for data collection. The instruments were Advance financial accounting Achievement Test (AFAAT), Advance financial accounting Diagnostic Achievement Test I (AFADAT I) and Advance financial accounting Diagnostic Achievement Test II (AFADAT II). The validations of instruments were determined by board of examiners in department of vocational and technology education in Abubakar Tafawa Balewa University, Bauchi. The reliability of the instruments was established using pilot study. The result of the pilot study gave reliability coefficient of 0.79. Data collected from the study were coded into Statistical Package of Social Sciences. The package was used to run t-test statistics for the test of the three null hypotheses at significance level of 0.05. The results shows improvement in the performance and retention ability of students when flipped teaching technique was adopted. It was recommended among others that financial accounting lecturers in Nigerian universities should adopt the use of flipped classroom approach in teaching students by providing students with pre-class materials and assignments prior their classroom activities.
    Matched MeSH terms: Educational Technology
  8. Adelin Anwar, Liew J, Mohd Talib Latif, Mohamed Rozali Othman
    Sains Malaysiana, 2010;39:169-174.
    Biomass burning is one of the main sources of air pollution in South East Asia, predominantly during the dry period between June and October each year. Sumatra and Kalimantan, Indonesia, have been identified as the regions connected to biomass burning due to their involvement in agricultural activities. In Sumatra, the Province of Riau has always been found to have had the highest number of hotspots during haze episodes. This study aims to determine the concentration of five major pollutants (PM10, SO2, NO2, CO and O3) in Riau, Indonesia, for 2006 and 2007. It will also correlate the level of air pollutants to the number of hotspots recorded, using the hotspot information system introduced by the Malaysian Centre for Remote Sensing (MACRES). Overall, the concentration of air pollutants recorded was found to increase with the number of hotspots. Nevertheless, only the concentration of PM10 during a haze episode is significantly different when compared to its concentration in non-haze conditions. In fact, in August 2006, when the highest number of hotspots was recorded the concentration of PM10 was found to increase by more than 20% from its normal concentration. The dispersion pattern, as simulated by the Hybrid Single Particle Lagrangian Integrated Trajectory Model (HYSPLIT), showed that the distribution of PM10 was greatly influenced by the wind direction. Furthermore, the particles had the capacity to reach the Peninsular Malaysia within 42 hours of emission from the point sources as a consequence of the South West monsoon.
    Matched MeSH terms: Remote Sensing Technology
  9. Noor Janatun Naim, Azita Ahmad Zawawi, Masami Shiba
    Sains Malaysiana, 2015;44:107-113.
    Conventional forest inventory practice took huge of effort, and is time- and cost- consuming. With the aid of remote sensing technology by light detection and ranging (LiDAR), those unbearable factors could be minimized. LiDAR is able to capture forest characteristic information and is well known for estimating forest structure accurately in many studies. Forest monitoring related to forest resource inventory (FRI) becomes more effective by utilizing LiDAR data and it is tremendously useful, especially to distinguish information on density, growth and distribution of trees in a selected area. In this study, LiDAR data was utilized aimed to delineate crown cover and estimate upper-storey canopy area in Yambaru Forest using object-based segmentation and classification techniques. Agreement between field survey and LiDAR data analysis showed that only 33.7% of upper-storey canopy area was successfully delineated. The low accuracy level of canopy detection in Yambaru Forest area was expected mainly due to tree structure, density and topographic condition.
    Matched MeSH terms: Remote Sensing Technology
  10. Bello Tambawal A, Md Noor R, Salleh R, Chembe C, Oche M
    PLoS One, 2019;14(4):e0214664.
    PMID: 30946766 DOI: 10.1371/journal.pone.0214664
    A vehicular ad hoc network (VANET) is an emerging and promising wireless technology aimed to improve traffic safety and provide comfort to road users. However, the high mobility of vehicles and frequent topology changes pose a considerable challenge to the reliable delivery of safety applications. Clustering is one of the control techniques used in VANET to make the frequent topology changes less dynamic. Nevertheless, research has shown that most of the existing clustering algorithms focus on cluster head (CH) election with very few addressing other critical issues such as cluster formation and maintenance. This has led to unstable clusters which could affect the timely delivery of safety applications. In this study, enhanced weight-based clustering algorithm (EWCA) was developed to address these challenges. We considered any vehicle moving on the same road segment with the same road ID and within the transmission range of its neighbour to be suitable for the cluster formation process. This was attributed to the fact that all safety messages are expected to be shared among the vehicles within the vicinity irrespective of their relative speedto avoid any hazardous situation. To elect a CH, we identified some metrics on the basis of the vehicle mobility information. Each vehicle was associated with a predefined weight value based on its relevance. A vehicle with the highest weight value was elected as the primary cluster head (PCH). We also introduced a secondary cluster head (SeCH) as a backup to the PCH to improve the cluster stability. SeCH took over the leadership whenever the PCH was not suitable for continuing with the leadership. The simulation results of the proposed approach showed a better performance with an increase of approximately40%- 45% in the cluster stability when compared with the existing approaches. Similarly, cluster formation messages were significantly minimized, hence reducing the communication overhead to the system and improving the reliable delivery of the safety applications.
    Matched MeSH terms: Wireless Technology
  11. Kazaure, Mansur Ahmed, Abdul Rashid abdullah
    MyJurnal
    Small and medium scale enterprises (SMEs) act as a promoter of economic development of the developed and under developed nations. Developing countries like Nigeria that, require sustainable economic growth and development must pay attention to the SMEs sectors in order to reduce unemployment, poverty and improve the standard leaving of its society. Unfortunately, in Nigeria, SMEs have underperformed despite that, 90% of the Nigerian businesses are small scales but their contribution to the Nigerian GDP is below 10%. The main reason for this low contribution of SMEs to Nigerian GDP could be attribute to poor funding, lack of management expertise and lack of access to modern technology among others, with proper finance the SMEs can acquire modern technology and employed qualified staff. Thus, this paper focuses on crowdfunding as financial option for Nigerian SMEs. However, the paper is a conceptual framework.
    Matched MeSH terms: Technology
  12. Ahmed F, Al-Amin AQ, Masud MM, Kari F, Mohamad Z
    An Acad Bras Cienc, 2015 Sep;87(3):1887-902.
    PMID: 26221988 DOI: 10.1590/0001-3765201520130368
    The significance of Science Framework (SF) to date is receiving more acceptances all over the world to address agricultural sustainability. The professional views, however, advocate that the SF known as Mega Science Framework (MSF) in the transitional economies is not converging effectively in many ways for the agricultural sustainability. Specially, MSF in transitional economies is mostly incapable to identify barriers in agricultural research, inadequate to frame policy gaps with the goal of strategizing the desired sustainability in agricultural technology and innovation, inconsistent in finding to identify the inequities, and incompleteness to rebuild decisions. Therefore, this study critically evaluates the components of MSF in transitional economies and appraises the significance, dispute and illegitimate issue to achieve successful sustainable development. A sound and an effective MSF can be developed when there is an inter-linkage within principal components such as of (a) national priorities, (b) specific research on agricultural sustainability, (c) adequate agricultural research and innovation, and (d) alternative policy alteration. This maiden piece of research which is first its kind has been conducted in order to outline the policy direction to have an effective science framework for agricultural sustainability.
    Matched MeSH terms: Technology
  13. Kataria N, Bhushan D, Gupta R, Rajendran S, Teo MYM, Khoo KS
    Environ Pollut, 2022 Dec 15;315:120319.
    PMID: 36183872 DOI: 10.1016/j.envpol.2022.120319
    Bisphenol-A (BPA) is a type of endocrine disrupting compound (EDC) that is being widely used in the production of polycarbonate and epoxy resins. In the last few years, human exposure to BPA has been extensively high due to the continuous increment in the Annual Growth Rate (AGR) of the BPA global market. The presence and transportation of BPA in the environment could cause serious damage to aquatic life and human health. This paper reviewed the literature on the exposure and toxicity mechanisms of BPA and advanced analytical techniques for the detection of BPA in the environment and human beings. The study indicated that BPA can cause damaging effects on numerous tissues and organs, including the reproductive system, metabolic dysfunction, respiratory system, immune system and central nervous system. On the basis of reported studies on animals, it appears that the exposure of BPA can be carcinogenic and responsible for causing a variety of cancers like ovarian cancer, uterine cancer, prostate cancer, testicular cancer, and liver cancer. This review paper focused mainly on the current progress in BPA removal technologies within last ten years (2012-2022). This paper presents a comprehensive overview of individual removal technologies, including adsorption, photocatalysis/photodegradation, ozonation/advance oxidation, photo-fenton, membranes/nanofilters, and biodegradation, along with removal mechanisms. The extensive literature study shows that each technology has its own removal mechanism and their respective limitations in BPA treatment. In adsorption and membrane separation process, most of BPA has been treated by electrostatic interaction, hydrogen boning and π-π interations mechanism. Whereas in the degradation mechanism, O* and OH* species have played a major role in BPA removal. Some factors could alter the removal potential and efficiency of BPA removal. This review paper will provide a useful guide in providing directions for future investigation to address the problem of BPA-containing wastewater treatment.
    Matched MeSH terms: Technology
  14. Hossain S, Manan H, Shukri ZNA, Othman R, Kamaruzzan AS, Rahim AIA, et al.
    Microbiol Res, 2023 Jan;266:127239.
    PMID: 36327659 DOI: 10.1016/j.micres.2022.127239
    Microplastics pollution has become a threat to aquaculture practices, as nearly all farming systems are saturated with microplastics (MPs) particles. Current research on MPs is limited considering their effects on aquatic organisms and human health. However, limited research has been conducted on potential cures and treatments. In today's world, bioremediation of needful parameters in different culture systems is being successfully practiced by introducing floc-forming bacteria. Researchers had found that some bacteria are efficacious in degrading microplastics particles including polyethylene (PE), polystyrene (PS), and polypropylene (PP). In addition, some bacteria that can form floc, are being used in fish and shellfish culture systems to treat toxic pollutants as the heterotrophic bacteria use organic compounds to grow and are effective in degrading microplastics and minimizing toxic nitrogen loads in aquaculture systems. In this review, the ability of biofloc bacteria to degrade microplastics has been summarized by collating the results of previous studies. The concept of this review may represent the efficacy of biofloc technology as an implicit tool in the fish culture system restricting the MPs contamination in water resources to safeguard ecological as well as human health.
    Matched MeSH terms: Technology
  15. Saleh MA, Hanapiah FA, Hashim H
    Disabil Rehabil Assist Technol, 2021 08;16(6):580-602.
    PMID: 32706602 DOI: 10.1080/17483107.2019.1685016
    PURPOSE: Technological advances in robotics have brought about exciting developments in different areas such as education, training, and therapy. Recent research has suggested that the robot can be even more effective in rehabilitation, therapy, and education for individuals with Autism Spectrum Disorder (ASD). In this paper, a comprehensive review of robotic technology for children with ASD is presented wherein a large number of journals and conference proceedings in science and engineering search engines' databases were implicated.

    MATERIALS AND METHODS: A search for related literature was conducted in three search engines' databases, Web of Science, Scopus, and IEEE Xplore. Thematic keywords were used to identify articles in the recent ten years in titles, keywords, and abstracts. The retrieved articles were filtered, analysed, and evaluated based on specific inclusion and exclusion criteria.

    RESULTS: A total of 208 studies were retrieved, while 166 met the inclusion criteria. The selected studies were reviewed according to the type of robot, the participants, objectives, and methods. 68 robots were used in all studies, NAO robot was used in 30.5% of those studies. The total number of participants in all studies was 1671. The highest percentage of the studies reviewed were dedicated to augmenting the learning skills.

    CONCLUSIONS: Robots and the associated schemes were used to determine their feasibility and validity for augmenting the learning skills of autistic children. Most of the studies reviewed were focused on improving the social communication skills of autistic children and measuring the extent of robot mitigation of stereotyped autistic behaviours.Implications for rehabilitationSocial robots are not considered as promising tools to be utilized for rehabilitation of autistic children only, but also has been used for children and young people with severe intellectual disability.Rehabilitation for individuals with ASD using robots can augment their cognitive and social skills, but further studies should be conducted to clarify its effectiveness based on other factors such as sex, age and IQ of the participates.Robotic-based rehabilitation is not limited to the physical robots only, but virtual robots have been used also, whereas each of which can be used individually or simultaneously. However, further study is required to assess the extent of its efficiency and effectiveness for both cases.

    Matched MeSH terms: Technology
  16. Daud AZC, Aman NA, Chien CW, Judd J
    F1000Res, 2020;9:1306.
    PMID: 34950457 DOI: 10.12688/f1000research.25753.1
    Background: Little is known on how time spent on touch-screen technology affects the hand skills development of preschool children. This study aimed to investigate the effects of touch-screen technology usage on hand skills among preschool children. Methods: Case-control design was employed to compare the hand skills of children who were engaged in touch-screen technology. A total of 128 participants aged between five and six years old who attended preschool were recruited and divided into two groups: high usage touch-screen technology (HUTSTG) and, low usage touch-screen technology (LUTSTG). Children's Hand Skills ability Questionnaire (CHSQ) and Assessment of Children's Hand Skills (ACHS) were used to evaluate the children's hand skills. Results: There were significant differences in the hand skills of preschool children between HUTSTG and LUTSTG. Results showed that preschool children in LUTSTG had better hand skills in all domains of CHSQ (p≤0.001) and ACHS (p<0.001) as compared to HUTSTG. Conclusion: Frequent use of touch-screen technology might cause disadvantages to the development of hand skills among preschool children.
    Matched MeSH terms: Technology
  17. Lim T, Frank K, Hadjab B
    J Cosmet Dermatol, 2022 Jan;21(1):207-219.
    PMID: 34255904 DOI: 10.1111/jocd.14342
    Injectable rejuvenation treatments used in Caucasians might not always suit Asians as the visible signs of aging manifest differently, underscoring a need for Asian-specific strategies that correct underlying structural deficiencies and cumulative age-related changes. The presented Target-Specific Sandwich Technique (TSST) aims to simultaneously restore, rejuvenate, and enhance faces through the distribution of minute amounts of different fillers with different rheologies, using a minimal number of entry points in strategic facial areas and different soft tissue layers in Asians. A total of 14 patients underwent the presented TSST and were subsequently assessed for satisfaction with the treatment and the outcome of the treatment. With 3 cc of fillers, patients experienced a rejuvenated appearance with brow support, brow ridge softening, less severe nasolabial folds, and corrected tear trough hollows. Fillers in the lateral canthal and mandibular angles lifted mouth corners, improved submandibular jowls, and defined the lower face. Although the prejowl sulcus received minimal filler, it appeared subtler, relaxed, and had fewer lines visible while smiling. Overall, patients appeared less tense, rejuvenated, and had improved light reflection and firmer skin. These were due to tissues being supported upward and laterally by fillers in areas of bone resorption-induced volume loss.
    Matched MeSH terms: Technology
  18. Gaaz TS, Sulong AB, Ansari MNM, Kadhum AAH, Al-Amiery AA, Nassir MH
    Materials (Basel), 2017 Jul 10;10(7).
    PMID: 28773134 DOI: 10.3390/ma10070777
    The advancements in material science and technology have made polyurethane (PU) one of the most important renewable polymers. Enhancing the physio-chemical and mechanical properties of PU has become the theme of this and many other studies. One of these enhancements was carried out by adding starch to PU to form new renewable materials called polyurethane-starch composites (PUS). In this study, PUS composites are prepared by adding starch at 0.5, 1.0, 1.5, and 2.0 wt.% to a PU matrix. The mechanical, thermal, and morphological properties of PU and PUS composites were investigated. Scanning electron microscope (SEM) images of PU and PUS fractured surfaces show cracks and agglomeration in PUS at 1.5 wt.% starch. The thermo-mechanical properties of the PUS composites were improved as starch content increased to 1.5 wt.% and declined by more starch loading. Despite this reduction, the mechanical properties were still better than that of neat PU. The mechanical strength increased as starch content increased to 1.5 wt.%. The tensile, flexural, and impact strengths of the PUS composites were found to be 9.62 MPa, 126.04 MPa, and 12.87 × 10(-3) J/mm², respectively, at 1.5 wt.% starch. Thermal studies showed that the thermal stability and crystallization temperature of the PUS composites increased compared to that of PU. The loss modulus curves showed that neat PU crystallizes at 124 °C and at 127 °C for PUS-0.5 wt.% and rises with increasing loading from 0.5 to 2 wt.%.
    Matched MeSH terms: Technology
  19. Satyanarayana B, M Muslim A, Izzaty Horsali NA, Mat Zauki NA, Otero V, Nadzri MI, et al.
    PeerJ, 2018;6:e4397.
    PMID: 29479500 DOI: 10.7717/peerj.4397
    Brunei Bay, which receives freshwater discharge from four major rivers, namely Limbang, Sundar, Weston and Menumbok, hosts a luxuriant mangrove cover in East Malaysia. However, this relatively undisturbed mangrove forest has been less scientifically explored, especially in terms of vegetation structure, ecosystem services and functioning, and land-use/cover changes. In the present study, mangrove areal extent together with species composition and distribution at the four notified estuaries was evaluated through remote sensing (Advanced Land Observation Satellite-ALOS) and ground-truth (Point-Centred Quarter Method-PCQM) observations. As of 2010, the total mangrove cover was found to be ca. 35,183.74 ha, of which Weston and Menumbok occupied more than two-folds (58%), followed by Sundar (27%) and Limbang (15%). The medium resolution ALOS data were efficient for mapping dominant mangrove species such asNypa fruticans,Rhizophora apiculata,Sonneratia caseolaris,S. albaandXylocarpus granatumin the vicinity (accuracy: 80%). The PCQM estimates found a higher basal area at Limbang and Menumbok-suggestive of more mature vegetation, compared to Sundar and Weston. Mangrove stand structural complexity (derived from the complexity index) was also high in the order of Limbang > Menumbok > Sundar > Weston and supporting the perspective of less/undisturbed vegetation at two former locations. Both remote sensing and ground-truth observations have complementarily represented the distribution ofSonneratiaspp. as pioneer vegetation at shallow river mouths,N. fruticansin the areas of strong freshwater discharge,R. apiculatain the areas of strong neritic incursion andX. granatumat interior/elevated grounds. The results from this study would be able to serve as strong baseline data for future mangrove investigations at Brunei Bay, including for monitoring and management purposes locally at present.
    Matched MeSH terms: Remote Sensing Technology
  20. Chong JWR, Khoo KS, Chew KW, Vo DN, Balakrishnan D, Banat F, et al.
    Bioresour Technol, 2023 Feb;369:128418.
    PMID: 36470491 DOI: 10.1016/j.biortech.2022.128418
    The identification of microalgae species is an important tool in scientific research and commercial application to prevent harmful algae blooms (HABs) and recognizing potential microalgae strains for the bioaccumulation of valuable bioactive ingredients. The aim of this study is to incorporate rapid, high-accuracy, reliable, low-cost, simple, and state-of-the-art identification methods. Thus, increasing the possibility for the development of potential recognition applications, that could identify toxic-producing and valuable microalgae strains. Recently, deep learning (DL) has brought the study of microalgae species identification to a much higher depth of efficiency and accuracy. In doing so, this review paper emphasizes the significance of microalgae identification, and various forms of machine learning algorithms for image classification, followed by image pre-processing techniques, feature extraction, and selection for further classification accuracy. Future prospects over the challenges and improvements of potential DL classification model development, application in microalgae recognition, and image capturing technologies are discussed accordingly.
    Matched MeSH terms: Technology
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