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  1. Lawal A, Wong RCS, Tan GH, Abdulra'uf LB, Alsharif AMA
    J Chromatogr Sci, 2018 Aug 01;56(7):656-669.
    PMID: 29688338 DOI: 10.1093/chromsci/bmy032
    Fruits and vegetables constitute a major type of food consumed daily apart from whole grains. Unfortunately, the residual deposits of pesticides in these products are becoming a major health concern for human consumption. Consequently, the outcome of the long-term accumulation of pesticide residues has posed many health issues to both humans and animals in the environment. However, the residues have previously been determined using conventionally known techniques, which include liquid-liquid extraction, solid-phase extraction (SPE) and the recently used liquid-phase microextraction techniques. Despite the positive technological effects of these methods, their limitations include; time-consuming, operational difficulty, use of toxic organic solvents, low selective property and expensive extraction setups, with shorter lifespan of instrumental performances. Thus, the potential and maximum use of these methods for pesticides residue determination has resulted in the urgent need for better techniques that will overcome the highlighted drawbacks. Alternatively, attention has been drawn recently towards the use of quick, easy, cheap, effective, rugged and safe technique (QuEChERS) coupled with dispersive solid-phase extraction (dSPE) to overcome the setback challenges experienced by the previous technologies. Conclusively, the reviewed QuEChERS-dSPE techniques and the recent cleanup modifications justifiably prove to be reliable for routine determination and monitoring the concentration levels of pesticide residues using advanced instruments such as high-performance liquid chromatography, liquid chromatography-mass spectrometry and gas chromatography-mass spectrometry.
    Matched MeSH terms: Chromatography, Liquid/methods*; Gas Chromatography-Mass Spectrometry/methods*; Solid Phase Extraction/methods*
  2. Mujtaba G, Shuib L, Raj RG, Rajandram R, Shaikh K, Al-Garadi MA
    J Biomed Inform, 2018 06;82:88-105.
    PMID: 29738820 DOI: 10.1016/j.jbi.2018.04.013
    Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation, a clinical report is transformed into a format that is suitable for classification. The traditional document representation technique for text categorization is the bag-of-words (BoW) technique. In this study, the traditional BoW technique is ineffective in classifying forensic autopsy reports because it merely extracts frequent but discriminative features from clinical reports. Moreover, this technique fails to capture word inversion, as well as word-level synonymy and polysemy, when classifying autopsy reports. Hence, the BoW technique suffers from low accuracy and low robustness unless it is improved with contextual and application-specific information. To overcome the aforementioned limitations of the BoW technique, this research aims to develop an effective conceptual graph-based document representation (CGDR) technique to classify 1500 forensic autopsy reports from four (4) manners of death (MoD) and sixteen (16) causes of death (CoD). Term-based and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) based conceptual features were extracted and represented through graphs. These features were then used to train a two-level text classifier. The first level classifier was responsible for predicting MoD. In addition, the second level classifier was responsible for predicting CoD using the proposed conceptual graph-based document representation technique. To demonstrate the significance of the proposed technique, its results were compared with those of six (6) state-of-the-art document representation techniques. Lastly, this study compared the effects of one-level classification and two-level classification on the experimental results. The experimental results indicated that the CGDR technique achieved 12% to 15% improvement in accuracy compared with fully automated document representation baseline techniques. Moreover, two-level classification obtained better results compared with one-level classification. The promising results of the proposed conceptual graph-based document representation technique suggest that pathologists can adopt the proposed system as their basis for second opinion, thereby supporting them in effectively determining CoD.
    Matched MeSH terms: Autopsy/methods*; Forensic Medicine/methods*; Medical Informatics/methods*
  3. Tela Abba H, Wan Hassan WMS, Saleh MA, Aliyu AS, Ramli AT, Abdulsalam H
    Isotopes Environ Health Stud, 2018 Oct;54(5):522-534.
    PMID: 29847152 DOI: 10.1080/10256016.2018.1474879
    The Jos Plateau has been reported to have elevated levels of natural background radiation. A few earlier studies have measured the levels of natural radioactivity for specific locations in the area. Our interest is to investigate how geology of the study area influences the activity concentrations of natural radionuclides. Thus, the activity concentrations of terrestrial radionuclides in soil samples collected across the geological formations of the Jos Plateau were determined by gamma spectrometry technique. The mean activity concentrations of 226Ra, 232Th and 40K were found to exceed their corresponding world reference values of 35, 40 and 400 Bq kg-1, respectively. Data were compared using statistical methods, analysis of variance (ANOVA) and post hoc tests. The results revealed in some instances significant influences of geological types on the activity concentrations in the area. The spatial distribution maps of activity concentrations of 226Ra, 232Th and 40K were geostatistically interpolated by ordinary Kriging method using ArcGIS software.
    Matched MeSH terms: Geology/methods; Radiation Monitoring/methods; Spectrometry, Gamma/methods
  4. Chong LA, Chong PH, Chee J
    J Palliat Med, 2018 09;21(9):1242-1248.
    PMID: 29733235 DOI: 10.1089/jpm.2017.0626
    BACKGROUND: The provision of pediatric palliative care in Asia Pacific varies between countries and availability of essential medications for symptoms at the end of life in this region is unclear.

    OBJECTIVE: To determine medications available and used in the management of six symptoms at the end of life among pediatric palliative care practitioners in Asia Pacific. To identify alternative pharmacological strategies for these six symptoms if the oral route was no longer possible and injections are refused.

    DESIGN AND SETTING: An online survey of all Asia Pacific Hospice Palliative Care Network (APHN) members was carried out to identify medications used for six symptoms (pain, dyspnea, excessive respiratory secretions, nausea/vomiting, restlessness, seizures) in dying children. Two scenarios were of interest: (1) hours to days before death and (2) when injectables were declined or refused.

    RESULTS: There were 54 responses from 18 countries. Majority (63.0%) of respondents were hospital based. About half of all respondents were from specialist palliative care services and 55.6% were from high-income countries. All respondents had access to essential analgesics. Several perceived that there were no available drugs locally to treat the five other commonly encountered symptoms. There was a wide variation in preferred drugs for treating each symptom that went beyond differences in drug availability or formulations.

    CONCLUSION: Future studies are needed to explore barriers to medication access and possible knowledge gaps among service providers in the region, so that advocacy and education endeavors by the APHN may be optimized.

    Matched MeSH terms: Palliative Care/methods*; Terminal Care/methods*; Pain Management/methods*
  5. Hashikin NAA, Yeong CH, Guatelli S, Abdullah BJJ, Ng KH, Malaroda A, et al.
    Phys Med Biol, 2017 Aug 22;62(18):7342-7356.
    PMID: 28686171 DOI: 10.1088/1361-6560/aa7e5b
    We aimed to investigate the validity of the partition model (PM) in estimating the absorbed doses to liver tumour ([Formula: see text]), normal liver tissue ([Formula: see text]) and lungs ([Formula: see text]), when cross-fire irradiations between these compartments are being considered. MIRD-5 phantom incorporated with various treatment parameters, i.e. tumour involvement (TI), tumour-to-normal liver uptake ratio (T/N) and lung shunting (LS), were simulated using the Geant4 Monte Carlo (MC) toolkit. 108track histories were generated for each combination of the three parameters to obtain the absorbed dose per activity uptake in each compartment ([Formula: see text], [Formula: see text], and [Formula: see text]). The administered activities, A were estimated using PM, so as to achieve either limiting doses to normal liver, [Formula: see text] or lungs, [Formula: see text] (70 or 30 Gy, respectively). Using these administered activities, the activity uptake in each compartment ([Formula: see text], [Formula: see text], and [Formula: see text]) was estimated and multiplied with the absorbed dose per activity uptake attained using the MC simulations, to obtain the actual dose received by each compartment. PM overestimated [Formula: see text] by 11.7% in all cases, due to the escaped particles from the lungs. [Formula: see text] and [Formula: see text] by MC were largely affected by T/N, which were not considered by PM due to cross-fire exclusion at the tumour-normal liver boundary. These have resulted in the overestimation of [Formula: see text] by up to 8% and underestimation of [Formula: see text] by as high as  -78%, by PM. When [Formula: see text] was estimated via PM, the MC simulations showed significantly higher [Formula: see text] for cases with higher T/N, and LS  ⩽  10%. All [Formula: see text] and [Formula: see text] by MC were overestimated by PM, thus [Formula: see text] were never exceeded. PM leads to inaccurate dose estimations due to the exclusion of cross-fire irradiation, i.e. between the tumour and normal liver tissue. Caution should be taken for cases with higher TI and T/N, and lower LS, as they contribute to major underestimation of [Formula: see text]. For [Formula: see text], a different correction factor for dose calculation may be used for improved accuracy.
    Matched MeSH terms: Brachytherapy/methods*; Radiometry/methods; Radiotherapy Planning, Computer-Assisted/methods*
  6. Shalash M, Makahleh A, Salhimi SM, Saad B
    Talanta, 2017 Nov 01;174:428-435.
    PMID: 28738603 DOI: 10.1016/j.talanta.2017.06.039
    A vortex-assisted liquid-liquid-liquid microextraction method followed by high performance liquid chromatography-diode array detection for the determination of fourteen phenolic acids (cinnamic, m-coumaric, chlorogenic, syringic, ferulic, o-coumaric, p-coumaric, vanillic, p-hydroxybenzoic, caffeic, 2, 4-dihydroxybenzoic, sinapic, gentisic and gallic acids) in honey, iced tea and canned coffee drink samples has been developed. The separation was achieved using a Poroshell 120-EC-C18 column under a gradient elution at a flow rate of 0.6mLmin-1 and mobile phase composed of methanol and acetic acid (1%, v/v). Under the optimum chromatographic conditions, the fourteen phenolic acids were separated in less than 32min. The extraction was performed using a small volume (400µL) of ternary organic solvents (1-pentanol, propyl acetate and 1-hexanol) dispersed into the aqueous sample (10mL) and assisted by vortex agitation (2500rpm for 45s), the analytes were next back-extracted from the organic solvent using 0.02M KOH (40µL) with vortex speed and time of 2500rpm and 60s, respectively. Under these conditions, enrichment factors of 30-193-fold were achieved. The limits of detection (LODs) were 0.05-0.68µgL-1. Recoveries in honey, iced tea and canned coffee drinks were in the range 72.2-112%. The method was successfully applied for the determination of the phenolic acids in honey, iced tea and canned coffee drinks.
    Matched MeSH terms: Chromatography, High Pressure Liquid/methods*; Food Analysis/methods*; Liquid Phase Microextraction/methods*
  7. Leong SH, Ong SH
    PLoS One, 2017;12(7):e0180307.
    PMID: 28686634 DOI: 10.1371/journal.pone.0180307
    This paper considers three crucial issues in processing scaled down image, the representation of partial image, similarity measure and domain adaptation. Two Gaussian mixture model based algorithms are proposed to effectively preserve image details and avoids image degradation. Multiple partial images are clustered separately through Gaussian mixture model clustering with a scan and select procedure to enhance the inclusion of small image details. The local image features, represented by maximum likelihood estimates of the mixture components, are classified by using the modified Bayes factor (MBF) as a similarity measure. The detection of novel local features from MBF will suggest domain adaptation, which is changing the number of components of the Gaussian mixture model. The performance of the proposed algorithms are evaluated with simulated data and real images and it is shown to perform much better than existing Gaussian mixture model based algorithms in reproducing images with higher structural similarity index.
    Matched MeSH terms: Microscopy/methods; Photography/methods; Multimodal Imaging/methods
  8. Noroozi S, Ong ZC, Khoo SY, Aslani N, Sewell P
    Prosthet Orthot Int, 2019 Feb;43(1):62-70.
    PMID: 30051756 DOI: 10.1177/0309364618789449
    BACKGROUND:: The current method of prescribing composite running-specific energy-storing-and-returning feet is subjective and is based only on the amputee's static body weight/mass.

    OBJECTIVES:: The aim was to investigate their dynamic characteristics and create a relationship between these dynamic data and the prescription of foot.

    STUDY DESIGN:: Experimental Assessment.

    METHODS:: This article presents the modal analysis results of the full range of Össur Flex-Run™ running feet that are commercially available (1LO-9LO) using experimental modal analysis technique under a constant mass at 53 kg and boundary condition.

    RESULTS:: It was shown that both the undamped natural frequency and stiffness increase linearly from the lowest to the highest stiffness category of foot which allows for a more informed prescription of foot when tuning to a matched natural frequency. The low damping characteristics determined experimentally that ranged between 1.5% and 2.0% indicates that the feet require less input energy to maintain the steady-state cyclic motion before take-off from the ground. An analysis of the mode shapes also showed a unique design feature of these feet that is hypothesised to enhance their performance.

    CONCLUSION:: A better understanding of dynamic characteristics of the feet can help tune the feet to the user's requirements in promoting a better gait performance.

    CLINICAL RELEVANCE: The dynamic data determined from this study are needed to better inform the amputees in predicting the natural frequency of the foot prescribed. The amputees can intuitively tune the cyclic body rhythm during walking or running to match with the natural frequency. This could eventually promote a better gait performance.

    Matched MeSH terms: Amputation/methods; Materials Testing/methods; Prosthesis Design/methods*
  9. Leong WM, Ripen AM, Mirsafian H, Mohamad SB, Merican AF
    Genomics, 2019 07;111(4):899-905.
    PMID: 29885984 DOI: 10.1016/j.ygeno.2018.05.019
    High-depth next generation sequencing data provide valuable insights into the number and distribution of RNA editing events. Here, we report the RNA editing events at cellular level of human primary monocyte using high-depth whole genomic and transcriptomic sequencing data. We identified over a ten thousand putative RNA editing sites and 69% of the sites were A-to-I editing sites. The sites enriched in repetitive sequences and intronic regions. High-depth sequencing datasets revealed that 90% of the canonical sites were edited at lower frequencies (<0.7). Single and multiple human monocytes and brain tissues samples were analyzed through genome sequence independent approach. The later approach was observed to identify more editing sites. Monocytes was observed to contain more C-to-U editing sites compared to brain tissues. Our results establish comparable pipeline that can address current limitations as well as demonstrate the potential for highly sensitive detection of RNA editing events in single cell type.
    Matched MeSH terms: Sequence Analysis, RNA/methods*; Genomics/methods*; High-Throughput Nucleotide Sequencing/methods*
  10. Chan SK, Kuzuya A, Choong YS, Lim TS
    SLAS Discov, 2019 01;24(1):68-76.
    PMID: 30063871 DOI: 10.1177/2472555218791743
    The inherent ability of nucleic acids to recognize a complementary pair has gained wide popularity in DNA sensor applications. DNA molecules can be produced in bulk and easily incorporated with various nanomaterials for sensing applications. More complex designs and sophisticated DNA sensors have been reported over the years to allow DNA detection in a faster, cheaper, and more convenient manner. Here, we report a DNA sensor designed to function like a switch to turn "on" silver nanocluster (AgNC) generation in the presence of a specific DNA target. By defining the probe region sequence, we are able to tune the color of the AgNC generated in direct relation to the different targets. As a proof of concept, we used dengue RNA-dependent RNA polymerase conserved sequences from all four serotypes as targets. This method was able to distinguish each dengue serotype by generating the serotype-respective AgNCs. The DNA switch was also able to identify and amplify the correct target in a mixture of targets with good specificity. This strategy has a detection limit of between 1.5 and 2.0 µM depending on the sequence of AgNC. The DNA switch approach provides an attractive alternative for single-target or multiplex DNA detection.
    Matched MeSH terms: Serotyping/methods*; Biosensing Techniques/methods; Nucleic Acid Amplification Techniques/methods*
  11. Abdul Hamid NA, Mediani A, Maulidiani M, Abas F, Park YS, Leontowicz H, et al.
    J Pharm Biomed Anal, 2017 May 10;138:80-91.
    PMID: 28189049 DOI: 10.1016/j.jpba.2017.01.046
    It is known from our previous studies that kiwifruits, which are used in common human diet, have preventive properties of coronary artery disease. This study describes a combination of (1)H NMR spectroscopy, multivariate data analyses and fluorescence measurements in differentiating of some kiwifruit varieties, their quenching and antioxidant properties. A total of 41 metabolites were identified by comparing with literature data Chenomx database and 2D NMR. The binding properties of the extracted polyphenols against HSA showed higher reactivity of studied two cultivars in comparison with the common Hayward. The results showed that the fluorescence of HSA was quenched by Bidan as much as twice than by other fruits. The correlation between the binding properties of polyphenols in the investigated fruits, their relative quantification and suggested metabolic pathway was established. These results can provide possible application of fruit extracts in pharmaceutical industry.
    Matched MeSH terms: Magnetic Resonance Imaging/methods; Magnetic Resonance Spectroscopy/methods; Spectrometry, Fluorescence/methods
  12. Vong E, Wilson L, Lincoln M
    J Fluency Disord, 2016 09;49:29-39.
    PMID: 27638190 DOI: 10.1016/j.jfludis.2016.07.003
    PURPOSE: This study investigated the outcomes of implementing the Lidcombe Program, an evidence-based early intervention for stuttering, with four preschool children in Malaysia. Early stuttering intervention is currently underdeveloped in Malaysia, where stuttering treatment is often more assertion-based than evidence-based. Therefore, introducing an evidence-based early stuttering intervention is an important milestone for Malaysian preschoolers who stutter.

    METHOD: The participants ranged from 3 years 3 months to 4 years 9 months at the start of the study. Beyond-clinic speech samples were obtained at 1 month and 1 week pretreatment and immediately post-Stage 1, and at 1 month, 3 months, 6 months and 12 months post-Stage 1.

    RESULTS: Two participants, who were bilingual, achieved near-zero levels of stuttering at 12 months posttreatment. Near zero levels of stuttering were also present in their untreated languages. One participant withdrew due to reasons not connected with the research or treatment. The remaining participant, who presented with severe stuttering, completed Stage 1 but had some relapse in Stage 2 and demonstrated mild stuttering 12 months post-Stage 1.

    CONCLUSIONS: The outcomes were achieved without the need to significantly adapt Lidcombe Program procedures to Malaysian culture. Further research to continue evaluation of the Lidcombe Program with Malaysian families and to estimate proportion of those who will respond is warranted.

    Matched MeSH terms: Speech Production Measurement/methods; Speech Therapy/methods*; Early Intervention (Education)/methods
  13. Kaliya-Perumal AK, Yeh YC, Luo CA, Joey-Tan KY
    Clin Orthop Surg, 2017 Mar;9(1):71-76.
    PMID: 28261430 DOI: 10.4055/cios.2017.9.1.71
    BACKGROUND: The technique used to administer a selective nerve root block (SNRB) varies depending on individual expertise. Both the anteroposterior (AP) subpedicular approach and oblique Scotty dog subpedicular approach are widely practiced. However, the literature does not provide a clear consensus regarding which approach is more suitable. Hence, we decided to analyse the procedural parameters and clinical outcomes following SNRBs using these two approaches.

    METHODS: Patients diagnosed with a single lumbar herniated intervertebral disc (HIVD) refractory to conservative management but not willing for immediate surgery were selected for a prospective nonrandomized comparative study. An SNRB was administered as a therapeutic alternative using the AP subpedicular approach in one group (n = 25; mean age, 45 ± 5.4 years) and the oblique Scotty dog subpedicular approach in the other group (n = 22; mean age, 43.8 ± 4.7 years). Results were compared in terms of the duration of the procedure, the number of C-arm exposures, accuracy, pain relief, functional outcome and the duration of relief.

    RESULTS: Our results suggest that the oblique Scotty dog subpedicular approach took a significantly longer duration (p = 0.02) and a greater number of C-arm exposures (p = 0.001). But, its accuracy of needle placement was 95.5% compared to only 72% using the AP subpedicular approach (p = 0.03). There was no significant difference in terms of clinical outcomes between these approaches.

    CONCLUSIONS: The AP subpedicular approach was simple and facile, but the oblique Scotty dog subpedicular approach was more accurate. However, a brief window period of pain relief was achieved irrespective of the approaching technique used.

    Matched MeSH terms: Nerve Block/methods*; Radiography, Interventional/methods*; Pain Management/methods*
  14. Mallak SK, Ishak MB, Mohamed AF, Iranmanesh M
    Environ Monit Assess, 2018 Sep 06;190(10):575.
    PMID: 30191321 DOI: 10.1007/s10661-018-6935-5
    Malaysia is facing an increasing trend in industrial solid waste generation due to industrial development. Thus, there is a paramount need in taking practical actions and measurements to move toward sustainable industrial waste management. The main aim of this study is to assess practicing solid waste minimization by manufacturing firms. Analysis showed that majority of firms (92%) dispose of their wastes rather than utilize other sustainable waste management options. Also, waste minimization methods such as segregation of wastes, on-site recycle and reuse, improved housekeeping, and equipment modification were found to have significant contribution to waste reduction (p 
    Matched MeSH terms: Environmental Monitoring/methods*; Refuse Disposal/methods*; Waste Management/methods
  15. Hassan H, Amiruddin MD, Weckwerth W, Ramli US
    Electrophoresis, 2019 01;40(2):254-265.
    PMID: 30370930 DOI: 10.1002/elps.201800232
    Palm oil is an edible vegetable oil derived from lipid-rich fleshy mesocarp tissue of oil palm (Elaeis guineensis Jacq.) fruit and is of global economic and nutritional relevance. While the understanding of oil biosynthesis in plants is improving, the fundamentals of oil biosynthesis in oil palm still require further investigations. To gain insight into the systemic mechanisms that govern oil synthesis during oil palm fruit ripening, the proteomics approach combining gel-based electrophoresis and mass spectrometry was used to profile protein changes and classify the patterns of protein accumulation during these complex physiological processes. Protein profiles from different stages of fruit ripening at 10, 12, 14, 15, 16, 18 and 20 weeks after anthesis (WAA) were analysed by two-dimensional gel electrophoresis (2DE). The proteome data were then visualised using a multivariate statistical analysis of principal component analysis (PCA) to get an overview of the proteome changes during the development of oil palm mesocarp. A total of 68 differentially expressed protein spots were successfully identified by matrix-assisted laser desorption/ionisation-time of flight (MALDI-TOF/TOF) and functionally classified using ontology analysis. Proteins related to lipid production, energy, secondary metabolites and amino acid metabolism are the most significantly changed proteins during fruit development representing potential candidates for oil yield improvement endeavors. Data are available via ProteomeXchange with identifier PXD009579. This study provides important proteome information for protein regulation during oil palm fruit ripening and oil synthesis.
    Matched MeSH terms: Mass Spectrometry/methods; Electrophoresis, Gel, Two-Dimensional/methods; Proteomics/methods*
  16. Iqbal U, Wah TY, Habib Ur Rehman M, Mujtaba G, Imran M, Shoaib M
    J Med Syst, 2018 Nov 05;42(12):252.
    PMID: 30397730 DOI: 10.1007/s10916-018-1107-2
    Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sensors help in monitoring the electrical activity of the heart. ECG signal analysis can improve human life in many ways, from diagnosing diseases among cardiac patients to managing the lifestyles of diabetic patients. Abnormalities in heart activities lead to different cardiac diseases and arrhythmia. However, some cardiac diseases, such as myocardial infarction (MI) and atrial fibrillation (Af), require special attention due to their direct impact on human life. The classification of flattened T wave cases of MI in ECG signals and how much of these cases are similar to ST-T changes in MI remain an open issue for researchers. This article presents a novel contribution to classify MI and Af. To this end, we propose a new approach called deep deterministic learning (DDL), which works by combining predefined heart activities with fused datasets. In this research, we used two datasets. The first dataset, Massachusetts Institute of Technology-Beth Israel Hospital, is publicly available, and we exclusively obtained the second dataset from the University of Malaya Medical Center, Kuala Lumpur Malaysia. We first initiated predefined activities on each individual dataset to recognize patterns between the ST-T change and flattened T wave cases and then used the data fusion approach to merge both datasets in a manner that delivers the most accurate pattern recognition results. The proposed DDL approach is a systematic stage-wise methodology that relies on accurate detection of R peaks in ECG signals, time domain features of ECG signals, and fine tune-up of artificial neural networks. The empirical evaluation shows high accuracy (i.e., ≤99.97%) in pattern matching ST-T changes and flattened T waves using the proposed DDL approach. The proposed pattern recognition approach is a significant contribution to the diagnosis of special cases of MI.
    Matched MeSH terms: Electrocardiography/methods*; Image Processing, Computer-Assisted/methods*; Pattern Recognition, Automated/methods*
  17. Tiong KH, Chang JK, Pathmanathan D, Hidayatullah Fadlullah MZ, Yee PS, Liew CS, et al.
    Biotechniques, 2018 12;65(6):322-330.
    PMID: 30477327 DOI: 10.2144/btn-2018-0072
    We describe a novel automated cell detection and counting software, QuickCount® (QC), designed for rapid quantification of cells. The Bland-Altman plot and intraclass correlation coefficient (ICC) analyses demonstrated strong agreement between cell counts from QC to manual counts (mean and SD: -3.3 ± 4.5; ICC = 0.95). QC has higher recall in comparison to ImageJauto, CellProfiler and CellC and the precision of QC, ImageJauto, CellProfiler and CellC are high and comparable. QC can precisely delineate and count single cells from images of different cell densities with precision and recall above 0.9. QC is unique as it is equipped with real-time preview while optimizing the parameters for accurate cell count and needs minimum hands-on time where hundreds of images can be analyzed automatically in a matter of milliseconds. In conclusion, QC offers a rapid, accurate and versatile solution for large-scale cell quantification and addresses the challenges often faced in cell biology research.
    Matched MeSH terms: Cell Count/methods*; Image Processing, Computer-Assisted/methods*; Microscopy/methods
  18. Saw PS, Lee SWH
    Curr Pharm Teach Learn, 2020 01;12(1):95-102.
    PMID: 31843172 DOI: 10.1016/j.cptl.2019.10.018
    BACKGROUND AND PURPOSE: The increasing number of older adults worldwide challenges healthcare providers and policy makers to provide high quality care. To our knowledge, there has been little research on educational programs for community pharmacists on the provision of pharmaceutical care-based educational programs for elderly people, especially in Asian regions. The purpose of this study was to develop and describe the implementation of a structured educational program on geriatric care for community pharmacists.

    EDUCATIONAL ACTIVITY AND SETTING: Community pharmacists attended a one-day workshop, supplemented with comprehensive training materials which enabled participants to conduct similar sessions with their peers at their own time. The workshop, consisting of case study discussion and role plays, was designed to be an engaging and interactive program that combined traditional didactic sessions and experiential, discussion-based learning. A pre- and post-workshop questionnaire were administered immediately before and after the event to all attending participants.

    FINDINGS: Core concepts covered in the workshop included: (1) overview of an ageing population, (2) issues with ageing population, (3) medication review, and (4) dietary requirements and dosage forms in older adults. Participants' (n = 39) noted significant improvements in knowledge (mean score change 0.7, p 

    Matched MeSH terms: Education/methods*; Geriatrics/methods; Program Evaluation/methods
  19. Chen WL, Ling YS, Lee DJH, Lin XQ, Chen ZY, Liao HT
    Chemosphere, 2020 Mar;242:125268.
    PMID: 31896175 DOI: 10.1016/j.chemosphere.2019.125268
    This study investigated chlorinated transformation products (TPs) and their parent micropollutants, aromatic pharmaceuticals and personal care products (PPCPs) in the urban water bodies of two metropolitan cities. Nine PPCPs and 16 TPs were quantitatively or semi-quantitatively determined using isotope dilution techniques and liquid chromatography-tandem mass spectrometry. TPs and most PPCPs were effectively removed by conventional wastewater treatments in a wastewater treatment plant (WWTP). Chlorinated parabens and all PPCPs (at concentrations below 1000 ng/L) were present in the waters receiving treated wastewater. By contrast, the waters receiving untreated wastewater contained higher levels of PPCPs (up to 9400 ng/L) and more species of chlorinated TPs including chlorinated parabens, triclosan, diclofenac, and bisphenol A. The very different chemical profiles between the water bodies of the two cities of similar geographical and climatic properties may be attributed to their respective uses of chemicals and policies of wastewater management. No apparent increase in the number of species or abundances of TPs was observed in either the chlorinated wastewater or the seawater rich in halogens. This is the first study to elucidate and compare the profiles of multiple TPs and their parent PPCPs in the water bodies of coastal cities from tropical islands. Our findings suggest that chlorinated derivatives of bisphenol A, diclofenac, triclosan, and parabens in the surface water originate from sources other than wastewater disinfection or marine chlorination. Although further studies are needed to identify the origins, conventional wastewater treatments may protect natural water bodies against contamination by those chlorinated substances.
    Matched MeSH terms: Disinfection/methods*; Environmental Monitoring/methods*; Water Purification/methods*
  20. Khan SU, Ullah N, Ahmed I, Ahmad I, Mahsud MI
    Curr Med Imaging Rev, 2019;15(3):243-254.
    PMID: 31989876 DOI: 10.2174/1573405614666180726124952
    BACKGROUND: Medical imaging is to assume greater and greater significance in an efficient and precise diagnosis process.

    DISCUSSION: It is a set of various methodologies which are used to capture internal or external images of the human body and organs for clinical and diagnosis needs to examine human form for various kind of ailments. Computationally intelligent machine learning techniques and their application in medical imaging can play a significant role in expediting the diagnosis process and making it more precise.

    CONCLUSION: This review presents an up-to-date coverage about research topics which include recent literature in the areas of MRI imaging, comparison with other modalities, noise in MRI and machine learning techniques to remove the noise.

    Matched MeSH terms: Diagnostic Imaging/methods*; Magnetic Resonance Imaging/methods*; Tomography, X-Ray Computed/methods
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