Browse publications by year: 2022

  1. Shahinuzzaman M, Afroz S, Mohafez H, Jamal MS, Khandaker MU, Sulieman A, et al.
    Nanomaterials (Basel), 2022 Aug 30;12(17).
    PMID: 36080043 DOI: 10.3390/nano12173003
    In just a few years, the efficiency of perovskite-based solar cells (PSCs) has risen to 25.8%, making them competitive with current commercial technology. Due to the inherent advantage of perovskite thin films that can be fabricated using simple solution techniques at low temperatures, PSCs are regarded as one of the most important low-cost and mass-production prospects. The lack of stability, on the other hand, is one of the major barriers to PSC commercialization. The goal of this review is to highlight the most important aspects of recent improvements in PSCs, such as structural modification and fabrication procedures, which have resulted in increased device stability. The role of different types of hole transport layers (HTL) and the evolution of inorganic HTL including their fabrication techniques have been reviewed in detail in this review. We eloquently emphasized the variables that are critical for the successful commercialization of perovskite devices in the final section. To enhance perovskite solar cell commercialization, we also aimed to obtain insight into the operational stability of PSCs, as well as practical information on how to increase their stability through rational materials and device fabrication.
  2. Iversen LJL, Rovina K, Vonnie JM, Matanjun P, Erna KH, 'Aqilah NMN, et al.
    Molecules, 2022 Aug 31;27(17).
    PMID: 36080371 DOI: 10.3390/molecules27175604
    Food packaging was not as important in the past as it is now, because the world has more people but fewer food resources. Food packaging will become more prevalent and go from being a nice-to-have to an essential feature of modern life. Food packaging has grown to be an important industry sector in today's world of more people and more food. Food packaging innovation faces significant challenges in extending perishable food products' shelf life and contributing to meeting daily nutrient requirements as people nowadays are searching for foods that offer additional health advantages. Modern food preservation techniques have two objectives: process viability and safe, environmentally friendly end products. Long-term storage techniques can include the use of edible coatings and films. This article gives a succinct overview of the supplies and procedures used to coat food products with conventional packaging films and coatings. The key findings summarizing the biodegradable packaging materials are emphasized for their ability to prolong the freshness and flavor of a wide range of food items; films and edible coatings are highlighted as viable alternatives to traditional packaging methods. We discuss the safety concerns and opportunities presented by applying edible films and coatings, allowing it to be used as quality indicators for time-sensitive foods.
    MeSH terms: Food Preservation/methods; Humans; Food Storage
  3. Cheng X, Chaw JK, Goh KM, Ting TT, Sahrani S, Ahmad MN, et al.
    Sensors (Basel), 2022 Aug 23;22(17).
    PMID: 36080780 DOI: 10.3390/s22176321
    The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motivate stakeholders to embrace the idea of Industry 4.0. Some industrial companies already have different sensors installed on their machines; however, without proper analysis, the data collected is not useful. This systematic review's main goal is to synthesize the existing evidence on the application of predictive maintenance (PdM) with visual aids and to identify the key knowledge gaps in areas including utilities, power generation, industry, and energy consumption. After a thorough search and evaluation for relevancy, 37 documents were identified. Moreover, we identified the visual analytics of PdM, including anomaly detection, planning/scheduling, exploratory data analysis (EDA), and explainable artificial intelligence (XAI). The findings revealed that anomaly detection was a major domain in PdM-related works. We conclude that most of the literature lacks depth in terms of an overall framework that combines data-driven and knowledge-driven techniques of PdM in the manufacturing industry. Some works that utilized both techniques indicated promising results, but there is insufficient research on involving maintenance personnel's feedback in the latter stage of PdM architecture. Thus, there are still pertinent issues that need to be investigated, and limitations that need to be overcome before PdM is deployed with minimal human involvement.
    MeSH terms: Artificial Intelligence*; Humans; Publications*; Manufacturing Industry
  4. Anwer A, Ainouz S, Saad MNM, Ali SSA, Meriaudeau F
    Sensors (Basel), 2022 Aug 30;22(17).
    PMID: 36081012 DOI: 10.3390/s22176552
    Specular highlights detection and removal in images is a fundamental yet non-trivial problem of interest. Most modern techniques proposed are inadequate at dealing with real-world images taken under uncontrolled conditions with the presence of complex textures, multiple objects, and bright colours, resulting in reduced accuracy and false positives. To detect specular pixels in a wide variety of real-world images independent of the number, colour, or type of illuminating source, we propose an efficient Specular Segmentation (SpecSeg) network based on the U-net architecture that is expeditious to train on nominal-sized datasets. The proposed network can detect pixels strongly affected by specular highlights with a high degree of precision, as shown by comparison with the state-of-the-art methods. The technique proposed is trained on publicly available datasets and tested using a large selection of real-world images with highly encouraging results.
  5. Yi OS, Huan KY, Har LC, Ali NM, Chiang TW
    Indian J Dermatol, 2022;67(2):205.
    PMID: 36092244 DOI: 10.4103/ijd.ijd_754_21
    BACKGROUND: Genital psoriasis is often under-recognized and the exact burden is unknown in Malaysia.

    OBJECTIVES: To identify the prevalence of genital psoriasis, its clinical features, risk factors, and impact on quality of life and sexual health.

    METHODS: This prospective, observational study was conducted in the dermatology clinic of our hospital from 1st September 2020 until 31st March 2021, involving all adult patients with psoriasis. The genital examination was performed and the subjects were interviewed using questionnaires.

    RESULTS: A total of 262 patients were recruited, with a male to female ratio of 1.5:1 (mean age of 51 years old). They comprised 42.0% Chinese, followed by 36.6% of Malay, 21.4% of Indians and others. Up to 46.1% of patients had a current or history of genital psoriasis. The most common area involved for males was the scrotum (44.1%) and labia majora (62.5%) for female patients. Itching (79.2%) was the most frequent symptom encountered. Chinese patients had 2.67 times odd (CI 1.55-4.61) of having genital psoriasis compared to non-Chinese patients. Other independent risk factors included flexural involvement, male gender, and Type 1 psoriasis. Genital psoriasis was associated with greater impairment on quality of life and sexual health (mean total Dermatology Life Quality Index: 8.8 vs 6.5, P = 0.006), International Index of Erectile Function (mean: 48.5 vs 57.0, P = 0.011) and revised version of Female Sexual Distress Scales (mean: 20.7 vs 11.4, P = 0.022).

    CONCLUSIONS: Genital psoriasis is common and it has a profound impact on patients.

  6. Choukaife H, Seyam S, Alallam B, Doolaanea AA, Alfatama M
    Int J Nanomedicine, 2022;17:3933-3966.
    PMID: 36105620 DOI: 10.2147/IJN.S375229
    As per the WHO, colorectal cancer (CRC) caused around 935,173 deaths worldwide in 2020 in both sexes and at all ages. The available anticancer therapies including chemotherapy, radiotherapy and anticancer drugs are all associated with limited therapeutic efficacy, adverse effects and low chances. This has urged to emerge several novel therapeutic agents as potential therapies for CRC including synthetic and natural materials. Orally administrable and targeted drug delivery systems are attractive strategies for CRC therapy as they minimize the side effects, enhance the efficacy of anticancer drugs. Nevertheless, oral drug delivery till today faces several challenges like poor drug solubility, stability, and permeability. Various oral nano-based approaches and targeted drug delivery systems have been developed recently, as a result of the ability of nanoparticles to control the release of the encapsulant, drug targeting and reduce the number of dosages administered. The unique physicochemical properties of chitosan polymer assist to overcome oral drug delivery barriers and target the colon tumour cells. Chitosan-based nanocarriers offered additional improvements by enhancing the stability, targeting and bioavailability of several anti-colorectal cancer agents. Modified chitosan derivatives also facilitated CRC targeting through strengthening the protection of encapsulant against acidic and enzyme degradation of gastrointestinal track (GIT). This review aims to provide an overview of CRC pathology, therapy and the barriers against oral drug delivery. It also emphasizes the role of nanotechnology in oral drug targeted delivery system and the growing interest towards chitosan and its derivatives. The present review summarizes the relevant works to date that have studied the potential applications of chitosan-based nanocarrier towards CRC treatment.
    MeSH terms: Drug Delivery Systems; Nanotechnology
  7. Zhang TH, Tham JS, Waheed M, Kim JN, Jeong JS, Chang PK, et al.
    Front Public Health, 2022;10:924331.
    PMID: 36106161 DOI: 10.3389/fpubh.2022.924331
    BACKGROUND: The COVID-19 outbreak is no longer a pure epidemiological concern but a true digital infodemic. Numerous conflicting information and misinformation occupy online platforms and specifically social media. While we have lived in an infodemic environment for more than 2 years, we are more prone to feel overwhelmed by the information and suffer from long-term mental health problems. However, limited research has concentrated on the cause of these threats, particularly in terms of information processing and the context of infodemic.

    OBJECTIVE: This study proposed and tested moderated mediation pathways from two types of health information behaviors (social media engagement and interpersonal communication) on information overload and mental health symptoms-long-term stress.

    METHODS: We conducted a cross-sectional online survey between May and June of 2021 among the Malaysian public. The final sample size was 676 (N = 676). A conceptual model was built to guide the data analysis. We conducted structural equation modeling (SEM), moderation and mediation analyses to examine each direct pathway, moderating and mediating effects.

    RESULTS: According to the pathway analysis, we found that, during the infodemic period, engaging COVID-19 information on social media positively associated with information overload, but interpersonal communication was negatively related to it. As the proximal outcome, there was also a positive association between information overload and the final outcome, perceived stress. The moderation analysis only reported one significant interaction: risk perception weakened the association between social media engagement and information overload. A conditional indirect effect was demonstrated and the indirect associated between social media engagement and perceived stress mediated through information overload was further moderated by COVID-19 risk perception.

    CONCLUSION: This research offers new grounds for understanding health information behaviors and their consequences in the COVID-19 infodemic. We particularly highlighted the distinct functions of health information behaviors in causing information overload, as well as the importance of personal health belief in this process. Our proposed model contributes to the strategies of developing health messaging strategies that may be utilized by public health researchers and health educators in the future.

    MeSH terms: Cross-Sectional Studies; Humans; Mental Health
  8. Okwuduba EN, Abd Rauf RA, Zulnaidi H, Nwosu KC
    Heliyon, 2022 Sep;8(9):e10546.
    PMID: 36110229 DOI: 10.1016/j.heliyon.2022.e10546
    Literature is unequivocal about the relevance of promoting lifelong learning (LLL) intentions among adult learners. However, what is less certain in remedial education literature is how faculty members play a critical role in motivating the tendencies for LLL among remediated science students, especially in the developing countries. Therefore, this study investigated the contributions of faculty caring and student engagement to remediated science students' perceived LLL tendencies. Correlational research design was used to measure and gauge the level of the relationships amongst the studying variables. A total of 443 continuing education programme students in Nigeria participated in the study. By using AMOS v. 24 and SPSS v. 26 statistical tools for data analyses, we found a high level of student-perceived faculty caring, student engagement components and LLL tendencies. Multilevel regression analyses indicated that the dimensions of students' LLL tendencies (motivation and perseverance) were positively predicted by faculty caring and student engagement dimensions, such as vigour, absorption and dedication. In the final models, the predictor variables could explain some substantive proportions of motivation and perseverance dimensions of LLL tendencies. Our study findings reveal that faculty caring plays a significant role in motivating students' academic engagement and the tendencies for LLL in higher education. Therefore, educational intervention that gears towards improving student academic engagement has a practical implication in enhancing LLL tendencies amongst higher education science students. Hence, the study findings could inspire various educational practitioners to encourage effective academic engagement amongst higher education science students. Directions for further research were suggested.
  9. Arn Ng Q, Yew Shuen Ang C, Shiong Chiew Y, Wang X, Pin Tan C, Basri Mat Nor M, et al.
    HardwareX, 2022 Oct;12:e00358.
    PMID: 36117541 DOI: 10.1016/j.ohx.2022.e00358
    Mechanical ventilation (MV) provides respiratory support for critically ill patients in the intensive care unit (ICU). Waveform data output by the ventilator provides valuable physiological and diagnostic information. However, existing systems do not provide full access to this information nor allow for real-time, non-invasive data collection. Therefore, large amounts of data are lost and analysis is limited to short samples of breathing cycles. This study presents a data acquisition device for acquiring and monitoring patient ventilation waveform data. Acquired data can be exported to other systems, allowing users to further analyse data and develop further clinically useful parameters. These parameters, together with other ventilatory information, can help personalise and guide MV treatment. The device is designed to be easily replicable, low-cost, and scalable according to the number of patient beds. Validation was carried out by assessing system performance and stability over prolonged periods of 7 days of continuous use. The device provides a platform for future integration of machine-learning or model-based modules, potentially allowing real-time, proactive, patient-specific MV guidance and decision support to improve the quality and productivity of care and outcomes.
  10. Gan CP, Lee BKB, Lau SH, Kallarakkal TG, Zaini ZM, Lye BKW, et al.
    Front Immunol, 2022;13:954567.
    PMID: 36119104 DOI: 10.3389/fimmu.2022.954567
    Oral potentially malignant disorders (OPMD) are precursors of oral squamous cell carcinoma (OSCC), and the presence of oral epithelial dysplasia (OED) in OPMD confers an increased risk of malignant transformation. Emerging evidence has indicated a role for the immune system in OPMD disease progression; however, the underlying immune mechanisms remain elusive. In this study, we used immune signatures established from cancer to delineate the immune profiles of moderate and severe OED, which are considered high-risk OPMD. We demonstrated that moderate and severe OEDs exhibit high lymphocyte infiltration and upregulation of genes involved in both immune surveillance (major histocompatibility complex-I, T cells, B cells and cytolytic activity) and immune suppression (immune checkpoints, T regulatory cells, and tumor-associated macrophages). Notably, we identified three distinct subtypes of moderate and severe OED: immune cytotoxic, non-cytotoxic and non-immune reactive. Active immune surveillance is present in the immune cytotoxic subtype, whereas the non-cytotoxic subtype lacks CD8 immune cytotoxic response. The non-immune reactive subtype showed upregulation of genes involved in the stromal microenvironment and cell cycle. The lack of T cell infiltration and activation in the non-immune reactive subtype is due to the dysregulation of CTNNB1, PTEN and JAK2. This work suggests that moderate and severe OED that harbor the non-cytotoxic or non-immune reactive subtype are likely to progress to cancer. Overall, we showed that distinct immune responses are present in high-risk OPMD, and revealed targetable pathways that could lead to potential new approaches for non-surgical management of OED.
    MeSH terms: Cell Transformation, Neoplastic/genetics; Humans; Hyperplasia; Tumor Microenvironment/genetics
  11. Fahrni ML, Saman KM, Alkhoshaiban AS, Naimat F, Ramzan F, Isa KAM
    BMJ Open, 2022 Sep 19;12(9):e057868.
    PMID: 36123061 DOI: 10.1136/bmjopen-2021-057868
    OBJECTIVE: To categorise patient-reported outcome measures (PROMs) into their propensity to detect intentional and/or unintentional non-adherence to medication, and synthesise their psychometric properties.

    DESIGN: Systematic review and regression analysis.

    ELIGIBILITY: Medication adherence levels studied at primary, secondary and tertiary care settings. Self-reported measures with scoring methods were included. Studies without proxy measures were excluded.

    DATA SOURCES: Using detailed searches with key concepts including questionnaires, reliability and validity, and restricted to English, MEDLINE, EMBASE, CINAHL, International Pharmaceutical Abstracts, and Cochrane Library were searched until 01 March 2022. Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA-2020) checklist was used.

    DATA ANALYSIS: Risk of bias was assessed via COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN-2018) guidelines. Narrative synthesis aided by graphical figures and statistical analyses.

    OUTCOME MEASURES: Process domains [behaviour (e.g., self-efficacy), barrier (e.g., impaired dexterity) or belief (e.g., perception)], and overall outcome domains of either intentional (I), unintentional (UI), or mixed non-adherence.

    RESULTS: Paper summarises evidence from 59 studies of PROMs, validated among patients aged 18-88 years in America, the United Kingdom, Europe, Middle East, and Australasia. PROMs detected outcome domains: intentional non-adherence, n=44 (I=491 criterion items), mixed intentionality, n=13 (I=79/UI=50), and unintentional, n=2 (UI=5). Process domains detected include belief (383 criterion items), barrier (192) and behaviour (165). Criterion validity assessment used proxy measures (biomarkers, e-monitors), and scoring was ordinal, dichotomised, or used Visual Analogue Scale. Heterogeneity was revealed across psychometric properties (consistency, construct, reliability, discrimination ability). Intentionality correlated positively with negative beliefs (r(57)=0.88) and barriers (r(57)=0.59). For every belief or barrier criterion-item, PROMs' aptitude to detect intentional non-adherence increased by β=0.79 and β=0.34 units, respectively (R2=0.94). Primary care versus specialised care predicted intentional non-adherence (OR 1.9; CI 1.01 to 2.66).

    CONCLUSIONS: Ten PROMs had adequate psychometric properties. Of the ten, eight PROMs were able to detect total, and two PROMs were able to detect partial intentionality to medication default. Fortification of patients' knowledge and illness perception, as opposed to daily reminders alone, is most imperative at primary care levels.

    MeSH terms: Humans; Psychometrics; Surveys and Questionnaires; Reproducibility of Results; Medication Adherence*; Patient Reported Outcome Measures*
  12. Lim HM, Ng CJ, Wharrad H, Lee YK, Teo CH, Lee PY, et al.
    PLoS One, 2022;17(9):e0274771.
    PMID: 36126036 DOI: 10.1371/journal.pone.0274771
    BACKGROUND: Effective knowledge transfer of eLearning objects can hasten the adoption and dissemination of technology in teaching and learning. However, challenges exist which hinder inter-organisational knowledge transfer, particularly across continents. The ACoRD project aimed to transfer knowledge on digital learning development from UK/EU (provider) to Malaysian (receiver) higher education institutions (HEIs). This study explores the challenges encountered during the knowledge transfer process and lessons learned.

    METHODS: This is a qualitative study involving both the knowledge providers and receivers in focus group discussions (n = 25). Four focus group discussions were conducted in the early (n = 2) and mid-phase (n = 2) of the project by trained qualitative researchers using a topic guide designed to explore experiences and activities representing knowledge transfer in multi-institutional and multi-cultural settings. The interviews were audio-recorded, transcribed verbatim, and checked. The transcripts were analysed using thematic analysis.

    RESULTS: Five main themes emerged from this qualitative study: mismatched expectations between providers and receivers; acquiring new knowledge beyond the professional "comfort zone"; challenges in cascading newly acquired knowledge to colleagues and management; individual and organisational cultural differences; and disruption of knowledge transfer during the COVID-19 pandemic.

    CONCLUSION: This study highlights the need to create a conducive platform to facilitate continuous, timely and bi-directional needs assessment and feedback; this should be done in the early phase of the knowledge transfer process. The challenges and strategies identified in this study could guide more effective knowledge transfer between organisations and countries.

    MeSH terms: Computer-Assisted Instruction*; Humans; Knowledge; Capacity Building; Pandemics
  13. Islam KR, Kumar J, Tan TL, Reaz MBI, Rahman T, Khandakar A, et al.
    Diagnostics (Basel), 2022 Sep 03;12(9).
    PMID: 36140545 DOI: 10.3390/diagnostics12092144
    With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient resource management and distribution. Early-prediction scoring systems for critically ill patients using mathematical models are available, but are not generalized for COVID-19 and Non-COVID patients. This study aims to develop a generalized and reliable prognostic model for ICU admission for both COVID-19 and non-COVID-19 patients using best feature combination from the patient data at admission. A retrospective cohort study was conducted on a dataset collected from the pulmonology department of Moscow City State Hospital between 20 April 2020 and 5 June 2020. The dataset contains ten clinical features for 231 patients, of whom 100 patients were transferred to ICU and 131 were stable (non-ICU) patients. There were 156 COVID positive patients and 75 non-COVID patients. Different feature selection techniques were investigated, and a stacking machine learning model was proposed and compared with eight different classification algorithms to detect risk of need for ICU admission for both COVID-19 and non-COVID patients combined and COVID patients alone. C-reactive protein (CRP), chest computed tomography (CT), lung tissue affected (%), age, admission to hospital, and fibrinogen parameters at hospital admission were found to be important features for ICU-requirement risk prediction. The best performance was produced by the stacking approach, with weighted precision, sensitivity, F1-score, specificity, and overall accuracy of 84.45%, 84.48%, 83.64%, 84.47%, and 84.48%, respectively, for both types of patients, and 85.34%, 85.35%, 85.11%, 85.34%, and 85.35%, respectively, for COVID-19 patients only. The proposed work can help doctors to improve management through early prediction of the risk of need for ICU admission of patients during the COVID-19 pandemic, as the model can be used for both types of patients.
  14. Zhang B, Chen M, Xia B, Lu Z, Khoo KS, Show PL, et al.
    Foods, 2022 Sep 15;11(18).
    PMID: 36140992 DOI: 10.3390/foods11182864
    Lipoxygenases have proven to be a potential biocatalyst for various industrial applications. However, low catalytic activity, low thermostability, and narrow range of pH stability largely limit its application. Here, a lipoxygenase (LOX) gene from Enterovibrio norvegicus DSM 15893 (EnLOX) was cloned and expressed in Escherichia coli BL21 (DE3). EnLOX showed the catalytic activity of 40.34 U mg-1 at 50 °C, pH 8.0. Notably, the enzyme showed superior thermostability, and wide pH range stability. EnLOX remained above 50% of its initial activity after heat treatment below 50 °C for 6 h, and its melting point temperature reached 78.7 °C. More than 70% of its activity was maintained after incubation at pH 5.0-9.5 and 4 °C for 10 h. In addition, EnLOX exhibited high substrate specificity towards linoleic acid, and its kinetic parameters of Vmax, Km, and Kcat values were 12.42 mmol min-1 mg-1, 3.49 μmol L-1, and 16.86 s-1, respectively. LC-MS/MS analysis indicated that EnLOX can be classified as 13-LOX, due to its ability to catalyze C18 polyunsaturated fatty acid to form 13-hydroxy fatty acid. Additionally, EnLOX could improve the farinograph characteristics and rheological properties of wheat dough. These results reveal the potential applications of EnLOX in the food industry.
  15. Ahmed A, Tanveer M, Shrestha S, Khatiwada AP, Khanal S, Dujaili JA, et al.
    Healthcare (Basel), 2022 Aug 26;10(9).
    PMID: 36141242 DOI: 10.3390/healthcare10091630
    Pharmacists are essential members of the healthcare team. The emergence of the novel coronavirus disease 2019 (COVID-19) pandemic has led pharmacists to undertake additional clinical roles. We aim to conduct a systematic review on the interventions and impact of pharmacist-delivered services in managing COVID-19 patients. We searched PubMed, Embase, Scopus, CINAHL plus, International Pharmaceutical Abstracts, and Web of Science from 1 December 2019 (the first case of COVID-19 emerged) to 13 January 2022 to retrieve the articles. Cochrane handbook and PRISMA guidelines were followed respectively to perform and report the review. The pharmacist-led interventions were reported following the Descriptive Elements of Pharmacist Intervention Characterization Tool (DEPICT) version 2. The protocol of systematic review was registered on PROSPERO (CRD42021277128). Studies quality was assessed with the modified NOS scale. In total, 7 observational studies were identified from 10,838 studies. Identification of dosage errors (n = 6 studies), regimen modifications (n = 5), removal of obsolete/duplicate medications (n = 5), identification and management of adverse drug reactions (n = 4), drug interactions prevention (n = 2), and physicians acceptance rate (n = 3) of therapy-related services delivered in-person or via tele-pharmacy were among the pharmacist-delivered services. Common interventions delivered by pharmacists also included optimizing the use of antibacterial, antivirals, and anticoagulants in COVID-19 infected patients. The acceptance of pharmacist-delivered services by physicians was high (88.5-95.5%). Included studies have described pharmacists' beneficial role in managing patients with COVID-19 including detection, resolution, and prevention of medication-related problems, with physicians demonstrating high trust in pharmacists' advice. Future research should assess the feasibility and scalability of such roles in real-world settings.
  16. Mohd N, Razali M, Ghazali MJ, Abu Kasim NH
    Materials (Basel), 2022 Sep 15;15(18).
    PMID: 36143709 DOI: 10.3390/ma15186398
    Three-dimensional (3D) bioprinting technology has emerged as an ideal approach to address the challenges in regenerative dentistry by fabricating 3D tissue constructs with customized complex architecture. The dilemma with current dental treatments has led to the exploration of this technology in restoring and maintaining the function of teeth. This scoping review aims to explore 3D bioprinting technology together with the type of biomaterials and cells used for dental applications. Based on PRISMA-ScR guidelines, this systematic search was conducted by using the following databases: Ovid, PubMed, EBSCOhost and Web of Science. The inclusion criteria were (i) cell-laden 3D-bioprinted construct; (ii) intervention to regenerate dental tissue using bioink, which incorporates living cells or in combination with biomaterial; and (iii) 3D bioprinting for dental applications. A total of 31 studies were included in this review. The main 3D bioprinting technique was extrusion-based approach. Novel bioinks in use consist of different types of natural and synthetic polymers, decellularized extracellular matrix and spheroids with encapsulated mesenchymal stem cells, and have shown promising results for periodontal ligament, dentin, dental pulp and bone regeneration application. However, 3D bioprinting in dental applications, regrettably, is not yet close to being a clinical reality. Therefore, further research in fabricating ideal bioinks with implantation into larger animal models in the oral environment is very much needed for clinical translation.
  17. Khashi'ie NS, Waini I, Zainal NA, Hamzah KB, Kasim ARM, Arifin NM, et al.
    Nanomaterials (Basel), 2022 Sep 15;12(18).
    PMID: 36144989 DOI: 10.3390/nano12183205
    This paper examines the unsteady separated stagnation point (USSP) flow and thermal progress of Fe3O4-CoFe2O4/H2O on a moving plate subject to the heat generation and MHD effects. The model of the flow includes the boundary layer and energy equations. These equations are then simplified with the aid of similarity variables. The numerical results are generated by the bvp4c function and then presented in graphs and tables. The magnetic and acceleration (strength of the stagnation point flow) parameters are the contributing factors in the augmentation of the skin friction and heat transfer coefficients. However, the enhancement of heat generation parameter up to 10% shows a reduction trend in the thermal rate distribution of Fe3O4-CoFe2O4/H2O. This finding reveals the effectiveness of heat absorption as compared to the heat generation in the thermal flow process. From the stability analysis, the first solution is the physical solution. The streamline for the first solution acts as a normal stagnation point flow, whereas the second solution splits into two regions, proving the occurrence of reverse flow.
  18. Amerhaider Nuar NN, Md Jamil SNA, Li F, Mat Azmi ID, Chiang PC, Choong TSY
    Polymers (Basel), 2022 Sep 15;14(18).
    PMID: 36146006 DOI: 10.3390/polym14183866
    Nanoscale calcium peroxide (nCP) has turned out to be one of the effective and environmentally friendly approaches for wastewater remediation purposes. The rapid hydrolysis of nCPs and burst oxygen release caused by the high surface-to-volume ratio of nCPs could surpass the appropriate demand for oxygenation and pollutant degradation in the aqueous system. Thus, coated oxidants (COs) have been prepared using polymeric materials to ensure long-term efficacy and slow-release capability. Therefore, the nCPs were first prepared using dextran as a stabilizer to prevent irreversible agglomeration by the chemical precipitation method and had an average mean size of 2.33 ± 0.81 nm. The synthesized nCPs were then coated with dextran to produce dextran-coated nCPs. Their characteristics and effectiveness in doxycycline (DOX) degradation were assessed. The characterization of nCPs and dextran-coated nCPs was performed using X-ray diffractometry (XRD), field emission scanning electron microscopy (FESEM), fourier transform infrared spectroscopy (FTIR), Brunauer, Emmett and Teller analysis (BET), dynamic light scattering (DLS) and thermogravimetric analysis (TGA) techniques. This work suggests that dextran-coated nCPs are beneficial in wastewater treatment practice in terms of the long-term efficacy of DOX degradation potential.
  19. Ali AM, Ghaleb FA, Al-Rimy BAS, Alsolami FJ, Khan AI
    Sensors (Basel), 2022 Sep 15;22(18).
    PMID: 36146319 DOI: 10.3390/s22186970
    Recently, fake news has been widely spread through the Internet due to the increased use of social media for communication. Fake news has become a significant concern due to its harmful impact on individual attitudes and the community's behavior. Researchers and social media service providers have commonly utilized artificial intelligence techniques in the recent few years to rein in fake news propagation. However, fake news detection is challenging due to the use of political language and the high linguistic similarities between real and fake news. In addition, most news sentences are short, therefore finding valuable representative features that machine learning classifiers can use to distinguish between fake and authentic news is difficult because both false and legitimate news have comparable language traits. Existing fake news solutions suffer from low detection performance due to improper representation and model design. This study aims at improving the detection accuracy by proposing a deep ensemble fake news detection model using the sequential deep learning technique. The proposed model was constructed in three phases. In the first phase, features were extracted from news contents, preprocessed using natural language processing techniques, enriched using n-gram, and represented using the term frequency-inverse term frequency technique. In the second phase, an ensemble model based on deep learning was constructed as follows. Multiple binary classifiers were trained using sequential deep learning networks to extract the representative hidden features that could accurately classify news types. In the third phase, a multi-class classifier was constructed based on multilayer perceptron (MLP) and trained using the features extracted from the aggregated outputs of the deep learning-based binary classifiers for final classification. The two popular and well-known datasets (LIAR and ISOT) were used with different classifiers to benchmark the proposed model. Compared with the state-of-the-art models, which use deep contextualized representation with convolutional neural network (CNN), the proposed model shows significant improvements (2.41%) in the overall performance in terms of the F1score for the LIAR dataset, which is more challenging than other datasets. Meanwhile, the proposed model achieves 100% accuracy with ISOT. The study demonstrates that traditional features extracted from news content with proper model design outperform the existing models that were constructed based on text embedding techniques.
    MeSH terms: Machine Learning; Artificial Intelligence*; Humans; Neural Networks (Computer)
  20. Tariq MA, Uddin QS, Ahmed B, Sheikh S, Ali U, Mohiuddin A
    J Curr Ophthalmol, 2022;34(2):148-159.
    PMID: 36147271 DOI: 10.4103/joco.joco_339_21
    PURPOSE: To conduct a systematic review and meta-analysis for estimating the prevalence of pediatric cataracts across Asia.

    METHODS: A detailed literature search of PubMed, Embase, Web of Science, Cochrane Library, and Google Scholar databases, from 1990 to July 2021, was performed to include all studies reporting the prevalence of cataracts among children. Two researchers performed the literature search and screening of articles independently, and a third researcher critically reviewed the overall search and screening process to ensure the consistency. The JBI Critical Appraisal Checklist for studies reporting prevalence data was used to assess the methodological quality of the included studies.

    RESULTS: Of the 496 identified articles, 35 studies with a sample size of 1,168,814 from 12 Asian countries were included in this analysis. The estimated pooled prevalence of pediatric cataracts in Asian children is 3.78 (95% confidence interval: 2.54-5.26)/10,000 individuals with high heterogeneity (I[2] = 89.5%). The pooled prevalence by each country per 10,000 was 0.60 in Indonesia, 0.92 in Bangladesh, 1.47 in Iran, 2.01 in Bhutan, 3.45 in Laos, 3.68 in China, 4.27 in Thailand, 4.47 in India, 5.33 in Malaysia, 5.42 in Nepal, 9.34 in Vietnam, and 10.86 in Cambodia.

    CONCLUSIONS: This study utilizes existing literature to identify the prevalence of cataracts in Asian children. Moreover, it highlights the need for more epidemiological studies with large sample sizes from other countries in Asia to accurately estimate the burden of disease.

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