Browse publications by year: 2020

  1. Lee YK, Praveena KA, Woo YL, Ng CJ
    Asia Pac J Oncol Nurs, 2020 10 15;8(1):40-45.
    PMID: 33426188 DOI: 10.4103/apjon.apjon_38_20
    Objective: Ovarian cancer is one of the most common cancers among Malaysian women with high recurrence. Patients with recurrence are prone to emotional distress and are forced to cope with poor prognosis. This study aimed to explore the coping strategies employed by women with recurrent ovarian cancer in Malaysia, a developing multicultural country in Asia.

    Methods: This was a qualitative study with patients diagnosed with recurrent ovarian cancer and receiving chemotherapy at a hospital gynecologic day-care unit. In-depth individual interviews were conducted with patients to explore how they coped with recurrence of ovarian cancer. Interviews were audio-recorded, transcribed verbatim, and analyzed thematically.

    Results: The participants' (n = 10) age range was 52-84 years, the three most common ethnic backgrounds were represented (Malay, Chinese, and Indian), and most of the patients were well educated. All patients were on chemotherapy. Six coping strategies were identified: (1) maintaining a mindset of hopefulness, (2) avoidance of information, (3) accepting their condition, (4) seeking spiritual help, (5) relying on family for support, and (6) coping with financial costs.

    Conclusions: Coping strategies employed during ovarian cancer recurrence in this setting were rarely based on the accurate information appraisal, but rather on the individual emotion and personal beliefs.

    MeSH terms: Adaptation, Psychological; Aged; Aged, 80 and over; Asia; Female; Hospitals; Humans; Malaysia; Middle Aged; Neoplasm Recurrence, Local; Ovarian Neoplasms; Prognosis; Asian Continental Ancestry Group; Hope
  2. Yeap SS, Thambiah SC, Samsudin IN, Appannah G, Zainuddin N, Mohamad-Ismuddin S, et al.
    Osteoporos Sarcopenia, 2020 Dec;6(4):168-172.
    PMID: 33426304 DOI: 10.1016/j.afos.2020.11.005
    OBJECTIVES: To determine the prevalence of osteopenia (OPe) and osteoporosis (OP) in an urban adult population in Malaysia, and to compare the change in the prevalence when using a Caucasian compared to an Asian reference range.

    METHODS: A cross-sectional random sample of the population aged between 45 and 90 years from the state of Selangor, Malaysia, was invited to attend a bone health check-up. Participants with diseases known to affect bone metabolism or who were on treatment for OP were excluded. Bone mineral density was measured using dual energy X-ray absorptiometry. Based on the World Health Organization definitions, the prevalence of OPe and OP was calculated using the Asian and Caucasian T-scores.

    RESULTS: A total of 342 subjects (222 females, 120 males), with a mean age of 59.68 (standard deviation: 8.89) years, who fulfilled the study criteria were assessed. Based on the Asian reference range, there were 140 (40.9%) subjects with OPe and 48 (14.0%) with OP. On applying the Caucasian reference range, there were 152 (44.4%) subjects with OPe and 79 (23.1%) with OP, with significant increases in males, females, and Chinese ethnic groups. Overall, 75 (21.9%) of subjects had a change in their diagnostic status. T-scores were consistently lower when the Caucasian reference range was used.

    CONCLUSIONS: In a healthy urban Malaysian population, the prevalence of OP is 14.0% and OPe is 40.9%. Application of a Caucasian reference range significantly increased the number of subjects with OP and may potentially lead to over-treatment.

  3. Asli MF, Hamzah M, Ibrahim AAA, Ayub E
    Heliyon, 2020 Dec;6(12):e05733.
    PMID: 33426320 DOI: 10.1016/j.heliyon.2020.e05733
    Malaysia and many other developing countries progressively adopting massively open online course (MOOC) in their national higher education approach. We have observed an increasing need for facilitating MOOC monitoring that is associated with the rising adoption of MOOCs. Our observation suggests that recent adoption cases led analyst and instructors to focus on monitoring enrolment and learning activities. Visual analytics in MOOC support education analysts in analyzing MOOC data via interactive visualization. Existing literature on MOOC visualization focuses on enabling visual analysis on MOOC data from forum and course material. We found limited studies that investigate and characterize domain problems or design requirements of visual analytics for MOOC. This paper aims to present the empirical problem characterization and abstraction for visual analytics in MOOC learner's support monitoring. Detailed characterization and abstraction of the domain problem help visualization designer to derive design requirements in generating appropriate visualization solution. We examined the literature and conducted a case study to elicit a problem abstraction based on data, users, and tasks. We interviewed five Malaysian MOOC experts from three higher education institutes using semi-structured questions. Our case study reveals the priority of enabling MOOC analysis on learner's progression and course completion. There is an association between design and analysis priority with the pedagogical type of implemented MOOC and users. The characterized domain problems and requirements offer a design foundation for visual analytics in MOOC monitoring analysis.
    MeSH terms: Developing Countries; Humans; Malaysia; Publications; Problem-Based Learning; Education, Distance; Educational Personnel
  4. Agussabti A, Romano R, Rahmaddiansyah R, Isa RM
    Heliyon, 2020 Dec;6(12):e05847.
    PMID: 33426340 DOI: 10.1016/j.heliyon.2020.e05847
    In developing countries, farming businesses are dominated by small-scale farmers with limited resources. Such farmers are subjected to high risks, influencing the success rate of their agricultural endeavors. This study, conducted in Aceh Province, Indonesia, measured the risk tolerance among six groups of farmers with businesses based on the following seasonal commodities: paddy, corn, soy, chili, potato, and tomato. A total of 360 respondents were surveyed and 54 key respondents interviewed. A Likert scale was used to assess the risk tolerance levels of the farmers, and ordinal regression analysis to analyze the factors influencing risk tolerance. Paddy, chili, and potato farmers had a relatively high tolerance to farming risks, whereas corn and tomato farmers showed a moderate tolerance. Soy farmers were classified into the low risk tolerance category. Ordinal analysis indicated that the risk tolerance of farmers in each commodity group was influenced by specific factors. Overall, it was found that the farmers' attitudes to risk tolerance were significantly affected by the following factors: experience, education, farming income, capital, land status, and land size. An intervention strategy including improvements in the curriculum, actors, network, scope of clusters, and technology are among the strategies required to positively improve farmers' perceptions and increase their tolerance to farming risks.
    MeSH terms: Farmers; Agriculture; Attitude; Zea mays; Curriculum; Developing Countries; Educational Status; Humans; Income; Indonesia; Perception; Solanum tuberosum; Surveys and Questionnaires; Regression Analysis; Seasons; Technology; Lycopersicon esculentum; Farms
  5. Azam M
    Heliyon, 2020 Dec;6(12):e05853.
    PMID: 33426342 DOI: 10.1016/j.heliyon.2020.e05853
    Undeniably, peace and long-term sustainable economic development are the prime agenda of all countries. This study aims to empirically evaluate the impact of military spending on economic growth for a panel of 35 non-OECD countries over 1988-2019. A multivariate regression model based on the augmented production function is used to achieve the objective of the study. The panel autoregressive distributed lag (ARDL)/pooled mean group (PMG) technique is employed, while, in addition the robust least squares and fixed-effect estimators are implemented for the robustness of the results. This study found a clear negative effect of military spending on economic growth. The pairwise Dumitrescu Hurlin panel causality test results exhibit bi-directional causality between military expenses and economic growth. Overall, these estimates provide strong support that military expenditure is not beneficial rather detrimental to economic growth. The empirical findings of this study suggest that policymakers need to redesign the military budget to stimulate economic growth and improve social welfare.
    MeSH terms: Budgets; Health Expenditures; Humans; Military Personnel; Social Conditions; Social Welfare; Least-Squares Analysis; Economic Development; Gross Domestic Product
  6. Yap ACS, Li X, Yap YHY, Razif MFM, Jamil AHA, Ng ST, et al.
    Int J Med Mushrooms, 2020;22(10):967-977.
    PMID: 33426826 DOI: 10.1615/IntJMedMushrooms.2020036351
    Ophiocordyceps sinensis (=Cordyceps sinensis) has been known for its various medicinal properties, in particular immunomodulatory activities associated with its polysaccharides. In this study, the fruiting body of O. sinensis cultivar OCS02® was investigated for its chemical composition and monosaccharide profile. Cold water extract (CWE) obtained from this fruiting body was fractionated by molecular weight (MW) into high (HMW), medium (MMW), and low (LMW) fractions. Polysaccharides in the extract and fractions were identified as heteroglycans containing mostly glucose and mannose with small amounts of galactose, fucose, arabinose, and xylose. The immunomodulatory potential of these heteroglycans was evaluated by induction of cytokine/chemokine secretion using murine macrophage RAW 264.7. All treatments showed significant modulation of IL-6, IL-9, MIP-2, and TIMP-1, especially for CWE, HMW, and MMW, which might be due to their high ratios of glucose and the presence of protein. Further investigation on the structure-function relationship of these fruiting body polysaccharide fractions is needed to delineate the underlying mechanism of their immunomodulatory effect both in vitro and in vivo.
    MeSH terms: RAW 264.7 Cells; Agaricales/chemistry*; Animals; China; Hypocreales/chemistry*; Immunologic Factors/isolation & purification; Immunologic Factors/pharmacology*; Immunologic Factors/chemistry; Macrophages/drug effects; Macrophages/immunology; Molecular Weight; Plant Extracts/isolation & purification; Plant Extracts/pharmacology*; Plant Extracts/chemistry; Polysaccharides/isolation & purification; Polysaccharides/pharmacology*; Polysaccharides/chemistry; Cytokines/immunology; Fruiting Bodies, Fungal/chemistry*; Mice
  7. Rahman MA, Hossain S, Abdullah N, Aminudin N
    Int J Med Mushrooms, 2020;22(11):1067-1078.
    PMID: 33426838 DOI: 10.1615/IntJMedMushrooms.2020036354
    Alzheimer's disease (AD) is the leading neurodegenerative disorder affecting memory and learning of aged people. Hypercholesterolemia had been implicated as one of the stark hallmarks of AD. Recent AD control guidelines have suggested lifestyle modification to slow down the progression of AD. In this regard, medicinal mushroom Ganoderma lucidum seems apt. In the present study, hot water extract of G. lucidum (200 mg/kg body weight) was fed to the hypercholesterolemic and AD model rats for 8 weeks. Nonspatial memory and learning abilities of the model animals was assessed using novel object recognition (NOR) test, rotarod test, and locomotor/open-field test. Then, the animals were sacrificed and transmission electron micrograph (TEM) view of the hippocampal neurons was assessed. In all the nonspatial memory and learning tests, the G. lucidum HWE fed rats performed better indicating improved memory and learning abilities. TEM view showed regular arrangement of the neurons in the G. lucidum HWE fed rats compared with those of the deranged arrangement of the AD rats. G. lucidum might have aided in restoring the memory and learning abilities of the AD model animals through maintaining neuronal structure and function. Thus, G. lucidum could be suggested as a medicotherapeutic agent against AD.
    MeSH terms: Alzheimer Disease/drug therapy*; Alzheimer Disease/physiopathology; Alzheimer Disease/psychology*; Animals; Drugs, Chinese Herbal/administration & dosage*; Hippocampus/drug effects; Hippocampus/physiopathology; Humans; Hypercholesterolemia/drug therapy*; Hypercholesterolemia/physiopathology; Hypercholesterolemia/psychology*; Learning/drug effects; Male; Memory/drug effects; Neurons/drug effects; Neurons/physiology; Rats, Wistar; Reishi; Rats
  8. Bhat R, Singh VK, Naik N, Kamath CR, Mulimani P, Kulkarni N
    Asian J Psychiatr, 2020 Apr;50:102047.
    PMID: 32251853 DOI: 10.1016/j.ajp.2020.102047
    MeSH terms: Adult; Humans; India; Education, Distance/organization & administration
  9. Wee JJ, Kumar S
    Genomics Inform, 2020 Dec;18(4):e39.
    PMID: 33412755 DOI: 10.5808/GI.2020.18.4.e39
    Alzheimer's disease (AD) is a chronic, progressive brain disorder that slowly destroys affected individuals' memory and reasoning faculties, and consequently, their ability to perform the simplest tasks. This study investigated the hub genes of AD. Proteins interact with other proteins and non-protein molecules, and these interactions play an important role in understanding protein function. Computational methods are useful for understanding biological problems, in particular, network analyses of protein-protein interactions. Through a protein network analysis, we identified the following top 10 hub genes associated with AD: PTGER3, C3AR1, NPY, ADCY2, CXCL12, CCR5, MTNR1A, CNR2, GRM2, and CXCL8. Through gene enrichment, it was identified that most gene functions could be classified as integral to the plasma membrane, G-protein coupled receptor activity, and cell communication under gene ontology, as well as involvement in signal transduction pathways. Based on the convergent functional genomics ranking, the prioritized genes were NPY, CXCL12, CCR5, and CNR2.
    MeSH terms: Alzheimer Disease; Brain; Cell Communication; Cell Membrane; Humans; Memory; Signal Transduction; GTP-Binding Proteins; Genomics; Gene Ontology
  10. Wang Y, Lee SM, Gentle IR, Dykes GA
    Biofouling, 2020 11;36(10):1227-1242.
    PMID: 33412938 DOI: 10.1080/08927014.2020.1865934
    A statistical approach using a polynomial linear model in combination with a probability distribution model was developed to mathematically represent the process of bacterial attachment and study its mechanism. The linear deterministic model was built based on data from experiments investigating bacterial and substratum surface physico-chemical factors as predictors of attachment. The prediction results were applied to a normal-approximated binomial distribution model to probabilistically predict attachment. The experimental protocol used mixtures of Streptococcus salivarius and Escherichia coli, and mixtures of porous poly(butyl methacrylate-co-ethyl dimethacrylate) and aluminum sec-butoxide coatings, at varying ratios, to allow bacterial attachment to substratum surfaces across a range of physico-chemical properties (including the surface hydrophobicity of bacterial cells and the substratum, the surface charge of the cells and the substratum, the substratum surface roughness and cell size). The model was tested using data from independent experiments. The model indicated that hydrophobic interaction was the most important predictor while reciprocal interactions existed between some of the factors. More importantly, the model established a range for each factor within which the resultant attachment is unpredictable. This model, however, considers bacterial cells as colloidal particles and accounts only for the essential physico-chemical attributes of the bacterial cells and substratum surfaces. It is therefore limited by a lack of consideration of biological and environmental factors. This makes the model applicable only to specific environments and potentially provides a direction to future modelling for different environments.
    MeSH terms: Bacterial Adhesion; Escherichia coli; Surface Properties; Physical Phenomena*; Hydrophobic and Hydrophilic Interactions
  11. Ahmad Fuad AF, Said MH, Samo K, Rahman MAA, Mohd MH, Zainol I
    ScientificWorldJournal, 2020;2020:6957171.
    PMID: 33414690 DOI: 10.1155/2020/6957171
    Introduction. Trawling is a method of catching fish in a large volume where fish nets are pulled through water using one or two boats. Bottom trawling is where the nets are pulled over on the seabed. The gear of the bottom trawling would impact the exposed subsea pipeline, on the seabed. Subsea pipelines transport crude oil and gas from the offshore platform to shore facility. This study assesses the risk of fish trawling activities to the subsea pipelines at Sabah and Labuan offshore. The specification of trawl equipment used by local trawlers in Sabah was determined by the on-site survey. The frequency of a fish trawler crossing over the pipelines was calculated based interview on operation and site survey. The calculation of the pull-over load of the otter board was calculated using the DNVGL algorithm. The severity and frequency index of the risk matrix was developed based on literature review. Results showed that the pull-over load of the otter board would not damage the pipelines. The risk posed by the fish trawler activity to the pipelines is low and moderate.
    MeSH terms: Algorithms; Fisheries*; Malaysia; Models, Theoretical; Oceans and Seas; Risk Assessment
  12. Nurumal MS, Diyono NQH, Che Hasan MK
    Sultan Qaboos Univ Med J, 2020 Nov;20(4):e374-e379.
    PMID: 33414944 DOI: 10.18295/squmj.2020.20.04.015
    Objectives: Self-efficacy is an important factor in determining the ability of students to execute tasks or skills needed in the implementation of interprofessional learning (IPL). This study aimed to identify levels of self-efficacy with regards to IPL skills among undergraduate healthcare students and to investigate differences according to gender, programme of study and year of study.

    Methods: This descriptive cross-sectional study was conducted between January and March 2018 at the International Islamic University Malaysia, Kuantan, Malaysia. The Self-Efficacy for Interprofessional Experiential Learning scale was used to evaluate the self-efficacy of 336 students from five faculties including nursing, medicine, dentistry, pharmacy and allied health sciences.

    Results: Significant differences in self-efficacy scores for the interprofessional interaction subscale were identified according to programme of study, with pharmacy students scoring significantly lower than allied health students (mean score: 54.1 ± 10.4 versus 57.4 ± 10.1; P = 0.014). In addition, there was a significant difference in self-efficacy scores for the interprofessional interaction subscale according to year of study, with first-year students scoring significantly lower compared to fifth-year students (mean score: 52.8 ± 10.4 versus 59.9 ± 11.9; P = 0.018). No statistically significant differences in self-efficacy scores were identified with regards to gender or for the interprofessional team evaluation and feedback subscale.

    Conclusion: These findings may contribute to the effective implementation of IPL education in healthcare faculties. Acknowledging the influence of self-efficacy on the execution of IPL skills is crucial to ensure healthcare students are able to adequately prepare for future interprofessional collaboration in real clinical settings.

    MeSH terms: Attitude of Health Personnel; Cooperative Behavior; Cross-Sectional Studies; Humans; Interprofessional Relations*; Malaysia; Students; Self Efficacy*
  13. Malekinezhad F, Courtney P, Bin Lamit H, Vigani M
    Front Public Health, 2020;8:578241.
    PMID: 33415094 DOI: 10.3389/fpubh.2020.578241
    Introduction: Green spaces support people mentally in their everyday life. Perceived restorativeness and Perceived Sensory Dimension (PSD) have been addressed as optimal environmental related characteristics with regards to psychological restoration. However, relatively little research has investigated how the perception of these characteristics, directly and indirectly, affects restoration experience, particularly in a sample of university students within the area of green outdoor campus landscapes. Methods: This study hypothesizes these associations through application of partial least squares structural equation modeling (PLS-SEM), inputting data from a sample of university students in Malaysia. In the hypothesized model, we examine the degree of restoration that is enjoyed by subjects within landscapes through the effects of these characteristics. Indirect effects of perceived restorativeness via evaluation of mediation effects associated with perception of landscape characteristics and restoration experience are also investigated. Results: Through validation of the measurement model, we find significant positive coefficient paths with adequate predictive abilities in the hypothesized model. Findings suggest the effect of PSD on perceived restorativeness leads to a better explanation of restoration experience. In addition, perceived landscape characteristics of PSD enhance restoration experience in alignment with perceived restorativeness characteristics. Conclusions: Greater effects on restoration experience come through perceived restorativeness that is affected by PSD, which itself is capable of promoting favorable experiences of restorativeness in a green space and facilitating psychological restorative outcomes. The mechanistic effect of emotional regulation implies a distinct role of green spaces in maintaining good mental health and has relevance to public health models that promote independence and well-being through preventative approaches. The work paves the way for further studies that examine which dimensions of PSD support perceived restorativeness and restoration experience more than others, and the wider psycho-social value of green spaces through the application of mediation effects and personal sensory dimensions in the development of mental health.
    MeSH terms: Parks, Recreational*; Emotions; Humans; Malaysia; Mental Health; Universities*
  14. Khan MMH, Rafii MY, Ramlee SI, Jusoh M, Mamun A
    Biomed Res Int, 2020;2020:2195797.
    PMID: 33415143 DOI: 10.1155/2020/2195797
    Bambara groundnut (Vigna subterranea L. Verdc.) is considered an emerging crop for the future and known as a crop for the new millennium. The core intention of this research work was to estimate the variation of landraces of Bambara groundnut considering their 14 qualitative and 27 numerical traits, to discover the best genotype fitted in Malaysia. The findings of the ANOVA observed a highly significant variation (p ≤ 0.01) for all the traits evaluated. There was a substantial variation (7.27 to 41.21%) coefficient value, and 14 out of the 27 numerical traits noted coefficient of variation (CV) ≥ 20%. Yield (kg/ha) disclosed positively strong to perfect high significant correlation (r = 0.75 to 1.00; p ≤ 0.001) with traits like fresh pod weight, dry pod weight, and dry seed weight. The topmost PCV and GCV values were estimated for biomass dry (41.09%) and fresh (40.53%) weight with high heritability (Hb) and genetic advance (GA) Hb = 95.19%, GA = 80.57% and Hb = 98.52%, GA = 82.86%, respectively. The topmost heritability was recorded for fresh pod weight (99.89%) followed by yield (99.75%) with genetic advance 67.95% and 62.03%, respectively. The traits with Hb ≥ 60% and GA ≥ 20% suggested the least influenced by the environment as well as governed by the additive genes and direct selection for improvement of such traits can be beneficial. To estimate the genetic variability among accessions, the valuation of variance components, coefficients of variation, heritability, and genetic advance were calculated. To authenticate the genetic inequality, an unweighted pair group produced with arithmetic mean (UPGMA) and principal component analysis was executed based on their measurable traits that could be a steadfast method for judging the degree of diversity. Based on the UPGMA cluster analysis, constructed five distinct clusters and 44 accessions from clusters II and IV consider an elite type of genotypes that produce more than one ton yield per hectare land with desirable traits. This study exposed an extensive disparity among the landraces and the evidence on genetic relatives will be imperative in using the existing germplasm for Bambara groundnut varietal improvement. Moreover, this finding will be beneficial for breeders to choose the desirable numerical traits of V. subterranea in their future breeding program.
    MeSH terms: Temperature; Genetic Variation*; Cluster Analysis; Quantitative Trait, Heritable*; Principal Component Analysis; Inheritance Patterns/genetics*; Ecotype*; Vigna/anatomy & histology; Vigna/genetics*
  15. Jerome JTJ, Mercier F, Mudgal CS, Arenas-Prat J, Vinagre G, Goorens CK, et al.
    J Hand Microsurg, 2020 Dec;12(3):135-162.
    PMID: 33408440 DOI: 10.1055/s-0040-1713964
    With a lot of uncertainty, unclear, and frequently changing management protocols, COVID-19 has significantly impacted the orthopaedic surgical practice during this pandemic crisis. Surgeons around the world needed closed introspection, contemplation, and prospective consensual recommendations for safe surgical practice and prevention of viral contamination. One hundred orthopaedic surgeons from 50 countries were sent a Google online form with a questionnaire explicating protocols for admission, surgeries, discharge, follow-up, relevant information affecting their surgical practices, difficulties faced, and many more important issues that happened during and after the lockdown. Ten surgeons critically construed and interpreted the data to form rationale guidelines and recommendations. Of the total, hand and microsurgery surgeons (52%), trauma surgeons (32%), joint replacement surgeons (20%), and arthroscopy surgeons (14%) actively participated in the survey. Surgeons from national public health care/government college hospitals (44%) and private/semiprivate practitioners (54%) were involved in the study. Countries had lockdown started as early as January 3, 2020 with the implementation of partial or complete lifting of lockdown in few countries while writing this article. Surgeons (58%) did not stop their surgical practice or clinics but preferred only emergency cases during the lockdown. Most of the surgeons (49%) had three-fourths reduction in their total patients turn-up and the remaining cases were managed by conservative (54%) methods. There was a 50 to 75% reduction in the number of surgeries. Surgeons did perform emergency procedures without COVID-19 tests but preferred reverse transcription polymerase chain reaction (RT-PCR; 77%) and computed tomography (CT) scan chest (12%) tests for all elective surgical cases. Open fracture and emergency procedures (60%) and distal radius (55%) fractures were the most commonly performed surgeries. Surgeons preferred full personal protection equipment kits (69%) with a respirator (N95/FFP3), but in the case of unavailability, they used surgical masks and normal gowns. Regional/local anesthesia (70%) remained their choice for surgery to prevent the aerosolized risk of contaminations. Essential surgical follow-up with limited persons and visits was encouraged by 70% of the surgeons, whereas teleconsultation and telerehabilitation by 30% of the surgeons. Despite the protective equipment, one-third of the surgeons were afraid of getting infected and 56% feared of infecting their near and dear ones. Orthopaedic surgeons in private practice did face 50 to 75% financial loss and have to furlough 25% staff and 50% paramedical persons. Orthopaedics meetings were cancelled, and virtual meetings have become the preferred mode of sharing the knowledge and experiences avoiding human contacts. Staying at home, reading, and writing manuscripts became more interesting and an interesting lifestyle change is seen among the surgeons. Unanimously and without any doubt all accepted the fact that COVID-19 pandemic has reached an unprecedented level where personal hygiene, hand washing, social distancing, and safe surgical practices are the viable antidotes, and they have all slowly integrated these practices into their lives. Strict adherence to local authority recommendations and guidelines, uniform and standardized norms for admission, inpatient, and discharge, mandatory RT-PCR tests before surgery and in selective cases with CT scan chest, optimizing and regularizing the surgeries, avoiding and delaying nonemergency surgeries and follow-up protocols, use of teleconsultations cautiously, and working in close association with the World Health Organization and national health care systems will provide a conducive and safe working environment for orthopaedic surgeons and their fraternity and also will prevent the resurgence of COVID-19.
  16. Samsudin S, Dulasi M, Sany S, Balanathan K, Chong SE, Ali A
    Int J Womens Health, 2020;12:1259-1270.
    PMID: 33408531 DOI: 10.2147/IJWH.S281826
    OBJECTIVE: This study aimed to compare the efficacy, side effects, and clinical outcomes between parenteral iron sucrose complex (ISC) and low-molecular-weight iron dextran (LMWID) for iron deficiency anemia (IDA) in pregnancy.

    METHODS: The study was conducted in a Malaysian tertiary hospital for a period of 1 year. Forty pregnant women with IDA between 24 and 38 weeks of gestation were randomized into two groups receiving treatment with either ISC or LMWID.

    RESULTS: No significant difference was found between the groups in terms of demographic data, parity, and mean gestational age. A mean total of 835 ± 150 mg doses of ISC and 656 ± 382 mg doses of LMWID were administered (P = 0.0001). Adverse events were reported in five patients who received LMWID and none in those treated with ISC (P = 0.024). The mean hemoglobin (Hb) level increment 2 weeks post treatment was higher among those who received ISC than in those who received LMWID. The ISC group demonstrated an increase of 1.91 ± 1.10 g/dL (from 8.43 ± 1.03 g/dL to 10.29 ± 0.90 g/dL) compared with the LMWID group at 1.39 ± 0.54 g/dL (from 8.61 ± 0.70 g/dL to 9.92 ± 0.88 g/dL, P = 0.023). All participants in both groups delivered at term. The estimated blood loss during delivery was significantly higher in the LMWID group (359 ± 247 mL) than in the ISC group (280 ± 100 mL, P = 0.026). Otherwise, no significant difference was observed in terms of Hb level during delivery and the perinatal outcomes for both groups.

    CONCLUSION: Parenteral ISC is more effective than LMWID in treating maternal IDA, and it is associated with fewer adverse events.

  17. Saw JA, Tam CL, Thanzami V, Bonn G
    Front Psychiatry, 2020;11:565896.
    PMID: 33408652 DOI: 10.3389/fpsyt.2020.565896
    This study investigates the effectiveness of the school-based Shine Through Any Roadblocks (STAR) CBT intervention, by a screening conducted on 634 students from eight secondary schools in Malaysia. Participants (n = 85) who fulfilled the eligibility criteria were assigned randomly to either the intervention group (n = 42) or the assessment-only waitlist control group (n = 43). The intervention consisted of eight group-based sessions over a period of 2 months. Sessions were 60-min each and conducted according to the STAR module. Outcome measures (depressive symptoms and automatic negative thoughts) were administered at five intervals: baseline/pre-intervention, mid-intervention, post-intervention, 1-month after intervention, and 3-months after intervention. Results showed significant and lasting lower levels of depressive symptoms and automatic negative thoughts in the intervention group, indicating that the STAR intervention could be an effective means of reducing depressive symptomatology among adolescents. Clinical implications for the Malaysian secondary school context are further discussed.
    MeSH terms: Adolescent; Depression; Humans; Malaysia; Mass Screening; Schools; Students; Control Groups
  18. Abubakari F, Mesjasz-Przybyłowicz J, Przybyłowicz WJ, van der Ent A
    AoB Plants, 2020 Dec;12(6):plaa058.
    PMID: 33408845 DOI: 10.1093/aobpla/plaa058
    The Malaysian state of Sabah on the Island of Borneo has recently emerged as a global hotspot of nickel hyperaccumulator plants. This study focuses on the tissue-level distribution of nickel and other physiologically relevant elements in hyperaccumulator plants with distinct phylogenetical affinities. The roots, old stems, young stems and leaves of Flacourtia kinabaluensis (Salicaceae), Actephila alanbakeri (Phyllanthaceae), Psychotria sarmentosa (Rubiaceae) and young stems and leaves of Glochidion brunneum (Phyllanthaceae) were studied using nuclear microprobe (micro-PIXE and micro-BS) analysis. The tissue-level distribution of nickel found in these species has the same overall pattern as in most other hyperaccumulator plants studied previously, with substantial enrichment in the epidermal cells and in the phloem. This study also revealed enrichment of potassium in the spongy and palisade mesophyll of the studied species. Calcium, chlorine, manganese and cobalt were found to be enriched in the phloem and also concentrated in the epidermis and cortex of the studied species. Although hyperaccumulation ostensibly evolved numerous times independently, the basic mechanisms inferred from tissue elemental localization are convergent in these tropical woody species from Borneo Island.
    MeSH terms: Borneo; Chlorine; Cobalt; Epidermis; Malaysia; Manganese; Minerals; Nickel; Potassium; Plant Leaves; Rubiaceae; Salicaceae; Psychotria; Phloem
  19. Evans MN, Guerrero-Sanchez S, Kille P, Müller CT, Bakar MSA, Goossens B
    Conserv Physiol, 2020;8(1):coaa127.
    PMID: 33408869 DOI: 10.1093/conphys/coaa127
    Agricultural development is a major threat to global biodiversity, and effective conservation actions are crucial. Physiological repercussions of life alongside human-modified landscapes can undermine adaptable species' health and population viability; however, baseline data are lacking for many wildlife species. We assessed the physiological status of a generalist carnivore, the Malay civet (Viverra tangalunga), persisting within an extensively human-modified system in Sabah, Malaysian Borneo. We characterized hematology and serum biochemistry panels from civets sampled across a mosaic landscape comprising tropical forest fragments and oil palm plantations. Intra-population variation in certain blood parameters were explained by expected biological drivers such as sex, age category and sampling season. Furthermore, we determined several erythrocyte measures, immune cell counts and dietary biochemistry markers significantly varied with proximity to oil palm plantation boundaries. These findings were supported by a case study, whereby blood profiles of GPS collared male civets were contrasted based on their exclusive use of forests or use of oil palm plantations. These data provide robust and valuable first insights into this species' physiological status and suggest agricultural landscapes are impacting the persisting population.
    MeSH terms: Agriculture; Animals; Borneo; Cell Count; Erythrocytes; Hematology; Humans; Malaysia; Male; Seasons; Biodiversity; Viverridae; Forests
  20. Ramzi AB, Baharum SN, Bunawan H, Scrutton NS
    Front Bioeng Biotechnol, 2020;8:608918.
    PMID: 33409270 DOI: 10.3389/fbioe.2020.608918
    Increasing demands for the supply of biopharmaceuticals have propelled the advancement of metabolic engineering and synthetic biology strategies for biomanufacturing of bioactive natural products. Using metabolically engineered microbes as the bioproduction hosts, a variety of natural products including terpenes, flavonoids, alkaloids, and cannabinoids have been synthesized through the construction and expression of known and newly found biosynthetic genes primarily from model and non-model plants. The employment of omics technology and machine learning (ML) platforms as high throughput analytical tools has been increasingly leveraged in promoting data-guided optimization of targeted biosynthetic pathways and enhancement of the microbial production capacity, thereby representing a critical debottlenecking approach in improving and streamlining natural products biomanufacturing. To this end, this mini review summarizes recent efforts that utilize omics platforms and ML tools in strain optimization and prototyping and discusses the beneficial uses of omics-enabled discovery of plant biosynthetic genes in the production of complex plant-based natural products by bioengineered microbes.
    MeSH terms: Machine Learning; Alkaloids; Biological Products; Biomedical Engineering; Cannabinoids; Employment; Flavonoids; Plants; Technology; Terpenes; Genes, Plant; Biosynthetic Pathways; Synthetic Biology; Metabolic Engineering
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