Browse publications by year: 2023

  1. Mohd Zaini NA, Azizan NAZ, Abd Rahim MH, Jamaludin AA, Raposo A, Raseetha S, et al.
    Front Public Health, 2023;11:1175509.
    PMID: 37250070 DOI: 10.3389/fpubh.2023.1175509
    Numerous generations have been affected by hunger, which still affects hundreds of millions of people worldwide. The hunger crisis is worsening although many efforts have been made to minimize it. Besides that, food waste is one of the critical problems faced by most countries worldwide. It has disrupted the food chain system due to inefficient waste management, while negatively impacting the environment. The majority of the waste is from the food production process, resulting in a net zero production for food manufacturers while also harnessing its potential. Most food production wastes are high in nutritional and functional values, yet most of them end up as low-cost animal feed and plant fertilizers. This review identified key emerging wastes from the production line of mushroom, peanut, and soybean (MPS). These wastes (MPS) provide a new source for food conversion due to their high nutritional content, which contributes to a circular economy in the post-pandemic era and ensures food security. In order to achieve carbon neutrality and effective waste management for the production of alternative foods, biotechnological processes such as digestive, fermentative, and enzymatic conversions are essential. The article provides a narrative action on the critical potential application and challenges of MPS as future foods in the battle against hunger.
    MeSH terms: Agaricales*; Animals; Food; Hunger; Arachis; Refuse Disposal*; Soybeans
  2. Siti-Munirah MY, Dome N
    PhytoKeys, 2023;221:61-72.
    PMID: 37250356 DOI: 10.3897/phytokeys.221.98571
    A new mycoheterotrophic species, Thismiakenyirensis Siti-Munirah & Dome from Peninsular Malaysia, is described and illustrated. Thismiakenyirensis differs from other previously described species in the following characteristics: the flower tube is completely orange, with alternating darker and paler-coloured longitudinal lines on the outer and inner surfaces, the outer tepals are ovate (petaloid), the inner tepals are narrowly lanceolate, each ending with a long appendage. According to the IUCN Red List categories and criteria, T.kenyirensis is provisionally classified as Least Concern.
  3. Patel C, Dave B, Patel R, Kumar S, Dattani V, Joshi S, et al.
    Cureus, 2023 May;15(5):e39444.
    PMID: 37250602 DOI: 10.7759/cureus.39444
    INTRODUCTION: Patients with periodontitis are significantly more likely to have undetected diabetes mellitus (DM). Self‑monitoring devices like glucometers provide a simple method for rapid monitoring of the glucose level in blood by utilizing a blood sample from the finger, but this method requires puncturing to obtain blood. Bleeding from the gingival sulcus, obtained during oral hygiene examination, can be utilized for screening DM patients. Therefore, this study was performed with the aim of determining the efficacy of gingival crevicular blood as a non-invasive screening method for DM patients, as well as correlating and comparing gingival crevicular blood glucose (GCBG) levels with finger capillary blood glucose (FCBG) and fasting blood glucose (FBG) among non-diabetic and diabetic group patients.

    METHODS: In this cross-sectional comparative study, a total of 120 participants having moderate to severe gingivitis/periodontitis with an age range of 40 to 65 years were divided into two groups on the basis of FBG range taken from an antecubital vein: non-diabetic (≤126, n=60) and diabetic (≥126, n=60) groups. Blood oozing during the routine periodontal examination from the periodontal pocket was recorded using a test strip of a glucose self-monitoring device (AccuSure®Simple) as GCBG. Concomitantly FCBG was collected from the fingertip. These three parameters were statistically analyzed using the Student's t-test and the one-way ANOVA test and correlated with Pearson's correlation coefficient for both groups.

    RESULTS: The mean and standard deviation for the three parameters GCBG, FBG, and FCBG were 93.78±12.03, 89.98±13.22, and 93.08±15.56, respectively, for the non-diabetic group and 154.52±45.05, 159±47.00, and 162.23±50.60 subsequently for the diabetic group. Comparing glucose level parameters among the non-diabetic and diabetic groups suggests a significant difference with the p-value <0.001*(inter-group). ANOVA test was done for both groups suggesting no significant difference among these three methods of measuring blood glucose level, where the p-value found was 0.272 for the non-diabetic and 0.665 for the diabetic group (intra-group comparison). Pearson's correlation values suggested a good positive correlation for the non-diabetic group, with parameters GCBG and FBG (r=0.864), GCBG and FCBG (r=0.936), and FBG and FCBG (r=0.837). The diabetic group's Pearson's correlation suggested a highly significant positive correlation between three different methods in which GCBG and FBG (r=0.978), GCBG and FBG (r=0.977), and FBG and FCBG (r= 0.982).

    CONCLUSION: Blood oozing from the periodontal pocket during routine oral hygiene examination can be utilized by dental healthcare professionals to screen pre-diabetic patients which can be used as a simple and less invasive method for DM patients.

  4. Islam MB, Islam MI, Nath N, Emran TB, Rahman MR, Sharma R, et al.
    Biomed Res Int, 2023;2023:9967591.
    PMID: 37250749 DOI: 10.1155/2023/9967591
    Multidrug-resistant (MDR) pathogens have created a fatal problem for human health and antimicrobial treatment. Among the currently available antibiotics, many are inactive against MDR pathogens. In this context, heterocyclic compounds/drugs play a vital role. Thus, it is very much essential to explore new research to combat the issue. Of the available nitrogen-bearing heterocyclic compounds/drugs, pyridine derivatives are of special interest due to their solubility. Encouragingly, some of the newly synthesized pyridine compounds/drugs are found to inhibit multidrug-resistant S. aureus (MRSA). Pyridine scaffold bearing poor basicity generally improves water solubility in pharmaceutically potential molecules and has led to the discovery of numerous broad-spectrum therapeutic agents. Keeping these in mind, we have reviewed the chemistry, recent synthetic techniques, and bacterial preventative activity of pyridine derivatives since 2015. This will facilitate the development of pyridine-based novel antibiotic/drug design in the near future as a versatile scaffold with limited side effects for the next-generation therapeutics.
    MeSH terms: Anti-Bacterial Agents/therapeutic use; Humans; Microbial Sensitivity Tests; Pyridines/pharmacology; Methicillin-Resistant Staphylococcus aureus*
  5. Abu Bakar NFAB, Yeo ZL, Hussin F, Madhavan P, Lim V, Jemon K, et al.
    J Taibah Univ Med Sci, 2023 Dec;18(6):1220-1236.
    PMID: 37250812 DOI: 10.1016/j.jtumed.2023.04.003
    OBJECTIVE: Triple negative breast cancer (TNBC) is the most invasive breast cancer subtype enriched with cancer stem cells. TNBCs do not express estrogen, progesterone, or human epidermal growth factor receptor 2 (HER2) receptors, making them difficult to be targeted by existing chemotherapy treatments. In this study, we attempted to identify the effects of combined cisplatin and Clinacanthus nutans treatment on MDA-MD-231 and MDA-MB-468 breast cancer cells, which represent TNBC subtypes.

    METHODS: The phytochemical fingerprint of C. nutans ethanolic leaf extract was evaluated by LC-MS/MS analysis. We investigated the effects of cisplatin (0-15.23 μg/mL), C. nutans (0-50 μg/mL), and a combination of cisplatin (3.05 μg/mL) and C. nutans (0-50 μg/mL), on cell viability, proliferation, apoptosis, invasion, mRNA expression in cancer stem cells (CD49f, KLF4), and differentiation markers (TUBA1A, KRT18) in TNBC cells. In addition, we also studied the interaction between cisplatin and C. nutans.

    RESULTS: Derivatives of fatty acids, carboxylic acid ester, and glycosides, were identified as the major bioactive compounds with potential anticancer properties in C. nutans leaf extract. Reductions in cell viability (0-78%) and proliferation (2-77%), as well as a synergistic anticancer effect, were identified in TNBC cells when treated with a combination of cisplatin and C. nutans. Furthermore, apoptotic induction via increased caspase-3/7 activity (MDA-MB-231: 2.73-fold; MDA-MB-468: 3.53-fold), and a reduction in cell invasion capacity to 36%, were detected in TNBC cells when compared to single cisplatin and C. nutans treatments. At the mRNA level, cisplatin and C. nutans differentially regulated specific genes that are responsible for proliferation and differentiation.

    CONCLUSION: Our findings demonstrate that the combination of cisplatin and C. nutans represents a potential treatment for TNBC.

  6. Irfan M, Ghalib SA, Waqas S, Khan JA, Rahman S, Faraj Mursal SN, et al.
    ACS Omega, 2023 May 23;8(20):17869-17879.
    PMID: 37251131 DOI: 10.1021/acsomega.3c00868
    Rice husk ash (RHA), a low-cost biomaterial, was utilized to form bio-oil from pyrolysis in a batch-stirred reactor, followed by its upgradation using the RHA catalyst. In the present study, the effect of temperature (ranging from 400 to 480 °C) on bio-oil production produced from RHA was studied to obtain the maximum bio-oil yield. Response surface methodology (RSM) was applied to investigate the effect of operational parameters (temperature, heating rate, and particle size) on the bio-oil yield. The results showed that a maximum bio-oil output of 20.33% was obtained at 480 °C temperature, 80 °C/min heating rate, and 200 μm particle size. Temperature and heating rate positively impact the bio-oil yield, while particle size has little effect. The overall R2 value of 0.9614 for the proposed model proved in good agreement with the experimental data. The physical properties of raw bio-oil were determined, and 1030 kg/m3 density, 12 MJ/kg calorific value, 1.40 cSt viscosity, 3 pH, and 72 mg KOH/g acid value were obtained, respectively. To enhance the characteristics of the bio-oil, upgradation was performed using the RHA catalyst through the esterification process. The upgraded bio-oil stemmed from a density of 0.98 g/cm3, an acid value of 58 mg of KOH/g, a calorific value of 16 MJ/kg, and a viscosity 10.5 cSt, respectively. The physical properties, GC-MS and FTIR, showed an improvement in the bio-oil characterization. The findings of this study indicate that RHA can be used as an alternative source for bio-oil production to create a more sustainable and cleaner environment.
  7. Ngouangna EN, Jaafar MZ, Norddin M, Agi A, Yakasai F, Oseh JO, et al.
    ACS Omega, 2023 May 23;8(20):17819-17833.
    PMID: 37251146 DOI: 10.1021/acsomega.3c00695
    Fluid-fluid interactions can affect any enhanced oil recovery (EOR) method, including nanofluid (NF) brine-water flooding. Flooding with NFs changes wettability and lowers oil-water interfacial tension (IFT). Preparation and modification affect the nanoparticle (NP) performance. Hydroxyapatite (HAP) NPs in EOR are yet to be properly verified. HAP was synthesized in this study using co-precipitation and in situ surface functionalization with sodium dodecyl sulfate in order to investigate its impact on EOR processes at high temperatures and different salinities. The following techniques were employed, in that sequence, to verify its synthesis: transmission electron microscopy, zeta potential, thermogravimetric analysis, Fourier transform infrared spectroscopy, X-ray diffraction, particle size analysis, and energy-dispersive X-ray spectra. The outcomes showed the production of HAP, with the particles being evenly dispersed and stable in aqueous solution. The particles' surface charge increased from -5 to -27 mV when the pH was changed from 1 to 13. The HAP NFs at 0.1 wt % altered the wettability of sandstone core plugs from oil-wet at 111.7 to water-wet at 9.0 contact angles at salinity ranges of 5000 ppm to 30,000 ppm. Additionally, the IFT was reduced to 3 mN/m HAP with an incremental oil recovery of 17.9% of the initial oil in place. The HAP NF thus demonstrated excellent effectiveness in EOR through IFT reduction, wettability change, and oil displacement in both low and high salinity conditions.
  8. Naeem NI, Yusoff MSB, Hadie SNH, Ismail IM, Iqbal H
    Med Sci Educ, 2023 Apr;33(2):595-609.
    PMID: 37251205 DOI: 10.1007/s40670-023-01747-6
    Increasing use of technology in medical education has caused concerns to medical teachers pertaining to the quality of digital learning environments. Thus, this review aimed to unearth the functional components of effective technology-enhanced learning environment in the undergraduate medical education context. The revised Arksey and O'Malley protocol was utilized that include identification of research question and relevant studies, selection of studies, data charting and collection, and collating, summarizing, and reporting results after consultation. We discovered nine components with 25 subcomponents of 74 functional elements found to be present in effective online learning environments. The nine components include cognitive enhancement, content curation, digital capability, technological usability, pedagogical practices, learner characteristics, learning facilitator, social representations, and institutional support. There is an interplay between these components, influencing each other in online learning platforms. A technology-enhanced learning in medical education (TELEMEd) model is proposed which can be used as a framework for evaluating online learning environment in medical education.

    SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40670-023-01747-6.

  9. Zhang Q, Akhtar R, Saif ANM, Akhter H, Hossan D, Alam SMA, et al.
    Heliyon, 2023 May;9(5):e16118.
    PMID: 37251829 DOI: 10.1016/j.heliyon.2023.e16118
    The current study aims to examine the symmetric and asymmetric effects of climate change (CC) on rice productivity (RP) in Malaysia. The Autoregressive-Distributed Lag (ARDL) and Non-linear Autoregressive Distributed Lag (NARDL) models were employed in this study. Time series data from 1980 to 2019 were collected from the World Bank and the Department of Statistics, Malaysia. The estimated results are also validated using Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Canonical Cointegration Regression (CCR). The findings of symmetric ARDL show that rainfall and cultivated area have significant and advantageous effects on rice output. The NARDL-bound test outcomes display that climate change has an asymmetrical long-run impact on rice productivity. Climate change has had varying degrees of positive and negative impacts on rice productivity in Malaysia. Positive changes in temperature and rainfall have a substantial and destructive impact on RP. At the same time, negative variations in temperature and rainfall have a substantial and positive impact on rice production in the Malaysian agriculture sector. Changes in cultivated areas, both positive and negative, have a long-term optimistic impact on rice output. Additionally, we discovered that only temperature affects rice output in both directions. Malaysian policymakers must understand the symmetric and asymmetric effects of CC on RP and agricultural policies that will promote sustainable agricultural development and food security.
  10. Al-Sharafi MA, Iranmanesh M, Al-Emran M, Alzahrani AI, Herzallah F, Jamil N
    Heliyon, 2023 May;9(5):e16299.
    PMID: 37251849 DOI: 10.1016/j.heliyon.2023.e16299
    Although extant literature has thoroughly investigated the incorporation of cloud computing services, examining their influence on sustainable performance, particularly at the organizational level, is insufficient. Consequently, the present research aims to assess the factors that impact the integration of cloud computing within small and medium-sized enterprises (SMEs) and its subsequent effects on environmental, financial, and social performance. The data were collected from 415 SMEs and were analyzed using a hybrid SEM-ANN approach. PLS-SEM results indicate that relative advantage, complexity, compatibility, top management support, cost reduction, and government support significantly affect cloud computing integration. This study also empirically demonstrated that SMEs could improve their financial, environmental, and social performance by integrating cloud computing services. ANN results show that complexity, with a normalized importance (NI) of 89.14%, is ranked the first among other factors affecting cloud computing integration in SMEs. This is followed by cost reduction (NI = 82.67%), government support (NI = 73.37%), compatibility (NI = 70.02%), top management support (NI = 52.43%), and relative advantage (NI = 48.72%). Theoretically, this study goes beyond examining the determinants affecting cloud computing integration by examining their impact on SMEs' environmental, financial, and social performance in a comprehensive manner. The study also provides several practical implications for policymakers, SME managers, and cloud computing service providers.
  11. Adrian, Syahputra RA, Juwita NA, Astyka R, Lubis MF
    Heliyon, 2023 May;9(5):e16159.
    PMID: 37251868 DOI: 10.1016/j.heliyon.2023.e16159
    Andaliman (Z. acanthopodium DC) is a kind of flowering plant that belongs to the Rutaceae family. The habitats are found in southwestern China (Guangxi, Guizhou, Sichuan, Tibet, and Yunnan), Bangladesh, Bhutan, northern India, and northeastern India (Arunachal Pradesh, Assam, Manipur, Meghalaya, Nagaland, Sikkim, Uttar Pradesh, and West Bengal), Nepal, Laos, Burma, Vietnam, North Sumatra highlands, Peninsular Malaysia, and northern Thailand. Andaliman is indigenous to North Sumatra, more specifically the Toba Samosir District, North Tapanuli, and the Dairi region. The phytochemical investigation showed some terpenoids as well as other compounds such as alkaloids, flavonoids, glycosides, tannins, and saponins, but they have not been entirely identified. In Indonesia, the plant is employed both in the culinary industry as an additive for flavoring food and in the traditional medical system for treating various diseases. It was reported to possess antibacterial, antifungal, anti-inflammatory, anticancer, cardioprotective, hepatoprotective, nephroprotective, and wound healing properties, alongside other activities related to pregnancy that were tested in vitro and in vivo. The results of the investigation were based on previously published studies. This review serves as information and a summary, thereby making further exploration of Andaliman to be easier.
  12. Fatimah I, Sulistyowati RZ, Wijayana A, Purwiandono G, Sagadevan S
    Heliyon, 2023 May;9(5):e16232.
    PMID: 37251879 DOI: 10.1016/j.heliyon.2023.e16232
    Highly-effective photocatalyst of NiO/g-C3N4 with was successfully synthesized by using phyto-mediated-synthesized nickel nanoparticles. The preparation was initiated by synthesizing nickel nanoparticles by using Tinosphora cordifolia stem extract under ultrasound-assisted method followed by the dispersing onto g-C3N4 structure. The study focused on physicochemical characterization and photocatalytic activity as function of the percentage of Ni in the nanocomposite. The photocatalytic activity examinations were carried out to rhodamine B and tetracycline photocatalytic oxidation. The results demonstrated that graphitic carbon nitride is effectively improved the photocatalytic activity of NiO for both photocatalytic oxidation reactions. From the varied Ni content of 5; 10; and 20 %wt., it was also found that the highest photoactivity was achieved by the composite having 10 %wt. of nickel content. The high effectivity was showed by degradation efficiency of 95% toward Rhodamine B and 98% toward tetracycline. The examination on effect of scavengers suggests that Z-scheme involved in the photocatalytic mechanism which facilitated the efficient separation of the photogenerated electron-hole pairs under visible light illumination. In summary, the present findings provide a green approach for fabricating the effective photocatalysts for organic contaminant degradation.
  13. Long Bidin MB, Khan AM, Tan FHS, Aziz NA, Ali NM, Kamaruddin NA, et al.
    J ASEAN Fed Endocr Soc, 2023;38(1):75-80.
    PMID: 37252416 DOI: 10.15605/jafes.038.01.06
    OBJECTIVE: This study aims to report the demographic features of patients with acromegaly, the disease burden, and the corresponding treatment patterns and outcomes in Malaysia.

    METHODOLOGY: This is a retrospective study that included patients from the Malaysian Acromegaly registry who were diagnosed with acromegaly from 1970 onwards. Data collected included patient demographics, clinical manifestations of acromegaly, biochemical results and imaging findings. Information regarding treatment modalities and their outcomes was also obtained.

    RESULTS: Registry data was collected from 2013 to 2016 and included 140 patients with acromegaly from 12 participating hospitals. Median disease duration was 5.5 years (range 1.0 - 41.0 years). Most patients had macroadenoma (67%), while 15% were diagnosed with microadenoma. Hypertension (49.3%), diabetes (37.1%) and hypopituitarism (27.9%) were the most common co-morbidities for patients with acromegaly. Majority of patients had surgical intervention as primary treatment (65.9%) while 20.7% were treated medically, mainly with dopamine agonists (18.5%). Most patients had inadequate disease control after first-line treatment regardless of treatment modality (79.4%).

    CONCLUSION: This registry study provides epidemiological data on patients with acromegaly in Malaysia and serves as an initial step for further population-based studies.

    MeSH terms: Humans; Registries; Retrospective Studies; Comorbidity; Cost of Illness
  14. Im Teoh JH, Mustafa N, Wahab N
    J ASEAN Fed Endocr Soc, 2023;38(1):125-130.
    PMID: 37252417 DOI: 10.15605/jafes.038.01.19
    Autoimmunity associated with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been well-described as the mechanism of development of thyroid dysfunction following Coronavirus Disease 19 (COVID-19) infection and SARS-CoV-2 vaccination. However, the occurrence of thyroid eye disease (TED) after SARS-CoV-2 vaccination is scarcely described. The postulated mechanisms include immune reactivation, molecular mimicry and the autoimmune/inflammatory syndrome induced by adjuvants (ASIA). We report a case of new-onset TED after receiving the SARS-CoV-2 vaccine.
    MeSH terms: Humans; Iodine Radioisotopes/therapeutic use; Thyroid Neoplasms*; Vaccination/adverse effects; Graves Ophthalmopathy*
  15. Mohamed M, Lim SC, Mumtaz M, Uppal S, Mukherjee D, Kassim MSM, et al.
    J ASEAN Fed Endocr Soc, 2023;38(1):37-44.
    PMID: 37252419 DOI: 10.15605/jafes.038.01.12
    OBJECTIVES: Insulin degludec (IDeg)/insulin aspart (IAsp; IDegAsp) is a co-formulation of 70% IDeg and 30% IAsp. According to several randomized controlled trials, IDegAsp is effective and safe for patients with type 2 diabetes mellitus (T2DM). A subgroup analysis of the ARISE study was conducted to explore the safety and efficacy of IDegAsp among Malaysian patients with T2DM in real-world settings.

    METHODOLOGY: ARISE, an open-label, multicenter, non-interventional, prospective study was conducted between August 2019 and December 2020. Adult Malaysian patients with T2DM who were enrolled from 14 sites received IDegAsp as per the local label for 26 weeks. The primary endpoint was change in glycated hemoglobin (HbA1c) levels from baseline to end of study (EOS).

    RESULTS: Of the 182 patients included in the full analysis set, 159 (87.4%) completed the study. From baseline to EOS, HbA1c (estimated difference [ED]: -1.3% [95% CI: -1.61 to -0.90]) and fasting plasma glucose levels (ED: -1.8 mmol/L [95% CI: -2.49 to -1.13]) were significantly reduced (p<0.0001). The patient-reported reduced hypoglycemic episodes (overall and nocturnal) during treatment. Overall, 37 adverse events were observed in 23 (12.6%) patients.

    CONCLUSION: Switching or initiating IDegAsp treatment resulted in significant improvements in glycemic control and a reduction in hypoglycemic episodes.

    MeSH terms: Adult; Blood Glucose/analysis; Hemoglobin A, Glycosylated; Humans; Hypoglycemic Agents/therapeutic use; Malaysia/epidemiology; Prospective Studies; Insulin Aspart/adverse effects
  16. Tan WH, Ong L, Strijk JS
    PhytoKeys, 2023;219:1-10.
    PMID: 37252448 DOI: 10.3897/phytokeys.219.95991
    A new species from the Fagaceae family, Castanopsiscorallocarpus Tan & Strijk, is described from Royal Belum State Park in Peninsular Malaysia. Here, we provide technical illustrations, colour images and a description of its conservation status and the collecting locality, in addition to a comparative analysis with other species in the region. The solitary nut of C.corallocarpus has a morphologically unique cupule, lined with rows of thick coral-like spines not seen in other Castanopsis species.
  17. Abdul Nasir M, Ahmad TS, Low TH, Devarajooh C, Gunasagaran J
    PLoS One, 2023;18(5):e0286301.
    PMID: 37252923 DOI: 10.1371/journal.pone.0286301
    We aimed to investigate the association between flexor tendon degeneration and outcome of open trigger digit release. We recruited 162 trigger digits (136 patients) who had open trigger digit release from February 2017 to March 2019. Intraoperatively, six features of tendon degenerations were identified: irregular tendon surface, tendon fraying, intertendinous tear, synovial thickening, hyperaemia of sheath and tendon dryness. Longer duration of preoperative symptoms was associated with worsening tendon surface irregularity and fraying; increased number of steroid injections was associated with worsening tendon surface irregularity and dryness; higher DASH score was associated with severe tendon fraying, dryness and intertendinous tear; limited proximal interphalangeal joint (PIPJ) motion was associated with severe tendon dryness. At 1-month post-surgery, DASH score remained high in severe intertendinous tear group while PIPJ motion remained limited in severe tendon dryness group. In conclusion, the severity of various flexor tendon degenerations influenced the outcome of open trigger digit release at 1-month but did not affect the outcome at 3- and 6-months post-surgery.
    MeSH terms: Humans; Joints; Synovitis*; Tendons/surgery; Time Factors
  18. Qadeer K, Al-Hinai A, Chuah LF, Sial NR, Al-Muhtaseb AH, Al-Abri R, et al.
    Chemosphere, 2023 Sep;335:139007.
    PMID: 37253401 DOI: 10.1016/j.chemosphere.2023.139007
    Industrial revolution on the back of fossil fuels has costed humanity higher temperatures on the planet due to ever-growing concentration of carbon dioxide emissions in Earth's atmosphere. To tackle global warming demand for renewable energy sources continues to increase. Along renewables, there has been a growing interest in converting carbon dioxide to methanol, which can be used as a fuel or a feedstock for producing chemicals. The current review study provides a comprehensive overview of the recent advancements, challenges and future prospects of methanol production and purification via membrane-based technology. Traditional downstream processes for methanol production such as distillation and absorption have several drawbacks, including high energy consumption and environmental concerns. In comparison to conventional technologies, membrane-based separation techniques have emerged as a promising alternative for producing and purifying methanol. The review highlights recent developments in membrane-based methanol production and purification technology, including using novel membrane materials such as ceramic, polymeric and mixed matrix membranes. Integrating photocatalytic processes with membrane separation has been investigated to improve the conversion of carbon dioxide to methanol. Despite the potential benefits of membrane-based systems, several challenges need to be addressed. Membrane fouling and scaling are significant issues that can reduce the efficiency and lifespan of the membranes. The cost-effectiveness of membrane-based systems compared to traditional methods is a critical consideration that must be evaluated. In conclusion, the review provides insights into the current state of membrane-based technology for methanol production and purification and identifies areas for future research. The development of high-performance membranes and the optimization of membrane-based processes are crucial for improving the efficiency and cost-effectiveness of this technology and for advancing the goal of sustainable energy production.
    MeSH terms: Methanol*; Carbon Dioxide*; Fossil Fuels; Technology; Global Warming
  19. Letchumanan N, Wong JHD, Tan LK, Ab Mumin N, Ng WL, Chan WY, et al.
    J Digit Imaging, 2023 Aug;36(4):1533-1540.
    PMID: 37253893 DOI: 10.1007/s10278-022-00753-1
    This study investigates the feasibility of using texture radiomics features extracted from mammography images to distinguish between benign and malignant breast lesions and to classify benign lesions into different categories and determine the best machine learning (ML) model to perform the tasks. Six hundred and twenty-two breast lesions from 200 retrospective patient data were segmented and analysed. Three hundred fifty radiomics features were extracted using the Standardized Environment for Radiomics Analysis (SERA) library, one of the radiomics implementations endorsed by the Image Biomarker Standardisation Initiative (IBSI). The radiomics features and selected patient characteristics were used to train selected machine learning models to classify the breast lesions. A fivefold cross-validation was used to evaluate the performance of the ML models and the top 10 most important features were identified. The random forest (RF) ensemble gave the highest accuracy (89.3%) and positive predictive value (66%) and likelihood ratio of 13.5 in categorising benign and malignant lesions. For the classification of benign lesions, the RF model again gave the highest likelihood ratio of 3.4 compared to the other models. Morphological and textural radiomics features were identified as the top 10 most important features from the random forest models. Patient age was also identified as one of the significant features in the RF model. We concluded that machine learning models trained against texture-based radiomics features and patient features give reasonable performance in differentiating benign versus malignant breast lesions. Our study also demonstrated that the radiomics-based machine learning models were able to emulate the visual assessment of mammography lesions, typically used by radiologists, leading to a better understanding of how the machine learning model arrive at their decision.
    MeSH terms: Machine Learning; Humans; Retrospective Studies
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