Browse publications by year: 2024

  1. Paramalingam H, Daher AM, Hussain S
    PLoS One, 2024;19(7):e0306428.
    PMID: 39078830 DOI: 10.1371/journal.pone.0306428
    Various factors have been described in the literature to explain the tendency of an individual to undergo medical screenings. This study aimed to assess the association between the level of knowledge about dyslipidaemia and the frequency of lipid testing, as well as the potential impact of predisposing, enabling, and need factors on the uptake of blood lipid screening. This study was a cross-sectional survey involving 314 participants who were Malaysian residents of Taman Selatan, Klang, aged 30 and above. The study utilized a 42-item paper-based bilingual questionnaire to evaluate the predisposing, enabling, and need factors that could potentially influence the practice of lipid testing. Out of the 314 residents approached, 271 responded to the questionnaire yielding a response rate of 86.31%. The median knowledge score was 5 out of 17. Lower monthly income (OR = 3.225, 95% CI = 0.255 to 2.141), higher number of comorbidities (OR = 2.724, 95% CI = 0.037 to 2.013), higher total knowledge score (OR = 1.334, 95% CI = 0.063 to 0.512) and respondent's belief and attitude (OR = 0.813, 95% CI = -2.033 to -0.539), were found to be significantly associated with the frequency of lipid testing. In conclusion, the knowledge level regarding dyslipidaemia was below average and associated with a lower tendency to undergo frequent lipid testing. There is a need for innovative health awareness such as active educational campaigns in various settings of the community. Further qualitative studies that explore the understanding of the publics', and antecedents of their, lipid screening behaviour are required. Appropriate communication by healthcare providers should be encouraged during patient consultations for higher impact.
    MeSH terms: Adult; Aged; Cross-Sectional Studies; Female; Humans; Health Knowledge, Attitudes, Practice*; Lipids/blood; Malaysia; Male; Mass Screening/methods; Middle Aged; Surveys and Questionnaires
  2. Nasir A, Hassan II, Ma'ruf A, Suharno NE, Goenharto S, Purwanto CR, et al.
    PLoS One, 2024;19(7):e0303331.
    PMID: 39078843 DOI: 10.1371/journal.pone.0303331
    The psychological burden is greatly felt by people living with tuberculosis because the characteristics of the disease are very visible and very contagious, and the obligation to take the right dose of medication with long treatment. This is what makes tuberculosis a very stigmatic disease. The aim of this research is to explore the psychological burden felt by people living with tuberculosis due to social stigma by society and how coping efforts are made. This research uses a qualitative phenomenological design through in-depth face-to-face interviews which take place in a semi-structured manner with the hope of obtaining complete data. The purposive sampling method was used in this research with Participatory Interpretative Phenomenology analysis involving 25 participants consisting of 16 men and 9 women. This research produced several themes, including 1) "The Perception of stigma limiting space and time", 2) "The Opportunities for interpersonal interaction become narrow", 3) "The mental stress as a challenging emotion", and 4) " Expanding coping efforts". The psychological burden is felt by people living with tuberculosis because society's treatment is felt to be very discriminatory due to the social stigma that has developed in society so they lose the opportunity to interact with society. For that reason, they tried to explore some of the personal and environmental resources used to modify adaptive coping in resolving perceived psychological burdens. Given the possibility of ongoing stigma and discrimination during tuberculosis treatment programs, it is important to consider the psychological burden in this context, both on the general population and on groups affected by stigma.
    MeSH terms: Adaptation, Psychological*; Adult; Aged; Female; Humans; Male; Middle Aged; Stress, Psychological/psychology; Cost of Illness; Qualitative Research*; Young Adult; Social Stigma*
  3. Nadarajan D, Aruchunan E, Mohd Noor NF
    PLoS One, 2024;19(7):e0305146.
    PMID: 39078855 DOI: 10.1371/journal.pone.0305146
    Global seaport network efficiency can be measured using the Liner Shipping Connectivity Index (LSCI) with Gross Domestic Product. This paper utilizes k-means and hierarchical strategies by leveraging the results obtained from Data Envelopment Analysis (DEA) and Fuzzy Data Envelopment Analysis (FDEA) to cluster 133 countries based on their seaport network efficiency scores. Previous studies have explored hkmeans clustering for traffic, maritime transportation management, swarm optimization, vessel trajectory prediction, vessels behaviours, vehicular ad hoc network etc. However, there remains a notable absence of clustering research specifically addressing the efficiency of global seaport networks. This research proposed hkmeans as the best strategy for the seaport network efficiency clustering where our four newly founded clusters; low connectivity (LC), medium connectivity (MC), high connectivity (HC) and very high connectivity (VHC) are new applications in the field. Using the hkmeans algorithm, 24 countries have been clustered under LC, 47 countries under MC, 40 countries under HC and 22 countries under VHC. With and without a fuzzy dataset distribution, this demonstrates that the hkmeans clustering is consistent and practical to form grouping of general data types. The findings of this research can be useful for researchers, authorities, practitioners and investors in guiding their future analysis, decision and policy makings involving data grouping and prediction especially in the maritime economy and transportation industry.
    MeSH terms: Algorithms*; Humans; Ships; Transportation; Cluster Analysis; Fuzzy Logic
  4. Jane Ling MY, Ahmad N, Noor Aizuddin A, Ja'afar MH
    PLoS One, 2024;19(7):e0308152.
    PMID: 39078862 DOI: 10.1371/journal.pone.0308152
    BACKGROUND: Risk perception plays important role in motivating preventive health behaviours. The objective of this systematic review was to explore the level of diabetes risk perception among individuals with and without apparent risk for diabetes, and to consider the effect of environmental factors on the level of diabetes risk perception.

    METHODS: This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search was carried out through PubMed, Web of Science, and Scopus. Original articles written in English and published between 2013 and 2023 were considered. Study quality was appraised using the Mixed Methods Appraisal Tool. Narrative synthesis was undertaken due to methodological heterogeneity in the included studies.

    RESULTS: A total of 13 cross-sectional studies, two randomized controlled trials, two cohort studies, two mixed methods studies and one quasi-experiment with a control group were included. An overall low level of diabetes risk perception was reported particularly in those without apparent risk for diabetes. The 20 included studies reported widely varied measures for calculating diabetes risk perception. The influence of environmental factors on the risk perception of diabetes was highlighted.

    LIMITATIONS: The use of study-specific and non-validated measures in the included studies weakens the authors' ability to compare across studies. The role of language and publication bias within this systematic review should be acknowledged as we included only English-language studies published in peer-reviewed journals. Another limitation is the exclusion of dimensions of risk perception such as optimistic bias as search terms.

    CONCLUSION: The overall low risk perception of diabetes calls for urgent need of public health interventions to increase the risk perception of diabetes. In the future, researchers should ensure the validity and reliability of the measures being used. The influence of environmental factors on the diabetes risk perception indicates that diabetes preventive interventions targeting environmental factors may be effective in increasing the risk perception of diabetes.

    MeSH terms: Environment; Humans; Health Knowledge, Attitudes, Practice; Perception; Risk Factors
  5. Low A, Kadir AJ, Chow ZY, Khang TF, Singh S
    Indian J Ophthalmol, 2024 Aug 01;72(8):1118-1123.
    PMID: 39078954 DOI: 10.4103/IJO.IJO_2662_23
    PURPOSE: To evaluate the variation and stability of the posterior cornea surface parameters (posterior cornea curvature [PCC], posterior cornea astigmatism [PCA], and posterior cornea elevation [PCE]) after femtosecond laser-assisted in situ keratomileusis (LASIK) in patients with myopia and myopic astigmatism over a period of 6 months or longer.

    METHODS: This retrospective study comprised 284 right eyes. Patients aged 18 years or older with myopia up to -12.00 D and/or astigmatism up to -6.00 DC and who underwent femtosecond LASIK were recruited. Patients were divided into three subgroups: low myopia (-0.50 to -3.00 D), moderate myopia (>-3.00 to ≤-6.00 D), and high myopia (>-6.00 D), according to their pre-LASIK spherical equivalent (SE). The variables included for analysis were PCC (central 0-3.0 mm, pericentral 3.0-6.0 mm, and peripheral region 6.0-9.0 mm), PCE, PCA, internal anterior chamber depth, intraocular pressure, and central cornea thickness at the pre- and post-LASIK stages.

    RESULTS: The central PCC remained unchanged across all three myopia subgroups at 1 month when compared to the pre-LASIK stage and remained stable at 6 months. The pericentral regions became flatter across all myopia subgroups at 1 month postsurgery (P < 0.001) and remained unchanged at 6 months. This trend was not seen in the peripheral cornea regions, which remained unchanged at 1 and 6 months post-LASIK when compared to pre-LASIK mean readings. There were minimal changes in post-LASIK posterior cornea astigmatism throughout follow-up. There was no incidence of post-LASIK surgery ectasia in this study population.

    CONCLUSION: Post-LASIK, the different cornea subregions behaved differently. Overall, the posterior cornea surface remained stable post-LASIK across all myopia subgroups throughout follow-up.

    MeSH terms: Adolescent; Adult; Female; Follow-Up Studies; Humans; Male; Middle Aged; Postoperative Period; Retrospective Studies; Visual Acuity*; Corneal Topography*; Young Adult
  6. Alzubaidi L, Al-Dulaimi K, Salhi A, Alammar Z, Fadhel MA, Albahri AS, et al.
    Artif Intell Med, 2024 Sep;155:102935.
    PMID: 39079201 DOI: 10.1016/j.artmed.2024.102935
    Deep learning (DL) in orthopaedics has gained significant attention in recent years. Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks, including fracture detection, bone tumour diagnosis, implant recognition, and evaluation of osteoarthritis severity. The utilisation of DL is expected to increase, owing to its ability to present accurate diagnoses more efficiently than traditional methods in many scenarios. This reduces the time and cost of diagnosis for patients and orthopaedic surgeons. To our knowledge, no exclusive study has comprehensively reviewed all aspects of DL currently used in orthopaedic practice. This review addresses this knowledge gap using articles from Science Direct, Scopus, IEEE Xplore, and Web of Science between 2017 and 2023. The authors begin with the motivation for using DL in orthopaedics, including its ability to enhance diagnosis and treatment planning. The review then covers various applications of DL in orthopaedics, including fracture detection, detection of supraspinatus tears using MRI, osteoarthritis, prediction of types of arthroplasty implants, bone age assessment, and detection of joint-specific soft tissue disease. We also examine the challenges for implementing DL in orthopaedics, including the scarcity of data to train DL and the lack of interpretability, as well as possible solutions to these common pitfalls. Our work highlights the requirements to achieve trustworthiness in the outcomes generated by DL, including the need for accuracy, explainability, and fairness in the DL models. We pay particular attention to fusion techniques as one of the ways to increase trustworthiness, which have also been used to address the common multimodality in orthopaedics. Finally, we have reviewed the approval requirements set forth by the US Food and Drug Administration to enable the use of DL applications. As such, we aim to have this review function as a guide for researchers to develop a reliable DL application for orthopaedic tasks from scratch for use in the market.
    MeSH terms: Humans
  7. Kronfli N, Lafferty L, Leone F, Stoové M, Hajarizadeh B, Lloyd AR, et al.
    Int J Drug Policy, 2024 Jul 29;130:104540.
    PMID: 39079352 DOI: 10.1016/j.drugpo.2024.104540
    BACKGROUND: Elimination of bloodborne viruses including HIV and hepatitis C virus from prisons requires high coverage of evidence-based interventions that prevent bloodborne virus transmission, including needle and syringe programs. Canada launched a Prison Needle Exchange Program (PNEP) in nine federal prisons in 2018; however, uptake among people who inject drugs in prison remains low. We aimed to explore barriers and facilitators to improving PNEP uptake identified by correctional officers and healthcare workers.

    METHODS: Participants from nine federal prisons with PNEP completed focus groups using nominal group technique, a rapid mixed-method consensus strategy. Responses were generated, rank-ordered, and prioritized by each stakeholder group. We identified the highest-ranking responses (≥10 % of the overall votes) to questions about barriers and facilitators to PNEP uptake.

    RESULTS: Between September 2023 and February 2024, 16 focus groups were conducted with 118 participants (n = 51 correctional officers; n = 67 healthcare workers). Among correctional officers, the top perceived barriers were bullying from peers (22 %), fear of being targeted by correctional officers (14 %), and fear of repercussions due to drug use (13 %). The top facilitators were safe injection sites (30 %), provision of wrap-around services (16 %), and education of correctional officers (10 %). Among healthcare workers, the top perceived barriers were lack of confidentiality (16 %), fear of being targeted by correctional officers (12 %), and a long and complex application process (11 %). The top facilitators were education of correctional officers (29 %), delivery of PNEP by an external provider (15 %), automatic approval for participation in the PNEP (13 %), and safe injection sites (12 %).

    CONCLUSION: Multiple modifiable barriers and solutions to improving PNEP uptake in Canadian federal prisons were identified by correctional employees. Both participant groups identified the potential for safe injection sites and education to correctional officers as enabling PNEP uptake. These data will inform Canadian efforts to improve engagement and to expand PNEP coverage.

  8. Zhang J, Said FM, Daud NFS, Jing Z
    Int J Biol Macromol, 2024 Jul 28.
    PMID: 39079565 DOI: 10.1016/j.ijbiomac.2024.134235
    Petrochemical resources are non-renewable, which has impeded the development of synthetic polymers. The poor degradability of synthetic polymers poses substantial environmental pressure. Additionally, the high cost of synthetic biopolymers with excellent degradation performance limits their widespread application. Thus, it is crucial to seek green, sustainable, low-cost polymers as alternatives to petrochemical-based synthetic polymers and synthetic biopolymers. Chitin is a natural and renewable biopolymer discovered in crustacean shells, insect exoskeletons, and fungal cell walls. Chitin chains consist of crystalline and amorphous regions. Note that various treatments can be employed to remove the amorphous region, enhancing the crystallinity of chitin. Chitin nanowhiskers are a high crystallinity nanoscale chitin product with a high aspect ratio, a large surface area, adjustable surface morphology, and biocompatibility. They discover widespread applications in biomedicine, environmental treatment, food packaging, and biomaterials. Various methods can be utilized for preparing chitin nanowhiskers, including chemical, ionic liquids, deacetylation, and mechanical methods. However, developing an environmentally friendly preparation process remains a big challenge for expanding their applications in different materials and large-scale production. This article comprehensively analyzes chitin nanowhiskers' preparation strategies and their drawbacks. It also highlights the extensive application in different materials and various fields, besides the potential for commercial application.
  9. Hookabe N, Jimi N, Furushima Y, Fujiwara Y
    Biol Lett, 2024 Jul;20(7):20230573.
    PMID: 39079676 DOI: 10.1098/rsbl.2023.0573
    Chemosynthesis-based ecosystems such as hydrothermal vents and hydrocarbon seeps harbour various endemic species, each uniquely adapted to the extreme conditions. While some species rely on obligatory relationships with bacterial symbionts for nutrient uptake, scavengers and predators also play important roles in food web dynamics in these ecosystems. Acoels, members of the phylum Xenacoelomorpha, are simple, worm-like invertebrates found in marine environments worldwide but are scarcely understood taxa. This study presents a novel genus and species of acoel from a deep-sea hydrocarbon seep off Hatsushima, Japan, Hoftherma hatsushimaensis gen. et sp. nov. Our multi-locus phylogenetic analysis revealed that the acoels are nested within Hofsteniidae, a family previously known exclusively from shallow waters. This finding suggests that at least two independent colonization events occurred in the chemosynthesis-based environments from the phylum Xenoacoelomorpha, represented by hofsteniid acoels and Xenoturbella. Previous reports of hofsteniid species from low-oxygen and sulfide-rich environments, including intertidal habitats with decomposing leaves, in addition to H. hatsushimaensis gen. et sp. nov. from a deep-sea hydrocarbon seep, imply a common ancestral adaptation to sulfide-rich ecosystems within Hofsteniidae. Moreover, the sister relationship between solenofilomorphid acoels predominating in sulfide-rich habitats indicates common ancestral adaptation to sulfide-rich ecosystems between these two families.
    MeSH terms: Animals; Japan; Phylogeny*; Ecosystem*; Hydrothermal Vents/microbiology
  10. Harun MHH, Mohd Nor NF, Ramli R
    BMJ Case Rep, 2024 Jul 30;17(7).
    PMID: 39079904 DOI: 10.1136/bcr-2024-261142
    Transverse vaginal septum (TVS) is a rare obstructive genital tract anomaly. It is associated with primary amenorrhoea and typically presents with cyclical abdominal pain due to obstruction of the menstrual flow. Caudal regression syndrome (CRS) is also a rare congenital anomaly that is frequently associated with anomalies of the neurological, musculoskeletal, cardiac, genitourinary and gastrointestinal systems. Obstructive genital tract anomaly in CRS is exceptionally rare. This report describes the case of a girl in early adolescence with underlying CRS who presented with severe abdominal pain associated with primary amenorrhoea. Clinical and radiological assessment revealed 'haematocolpos' manifesting as a tender 20 weeks' size abdominal mass and an absent vaginal opening. TVS was identified during examination under anaesthesia. The patient subsequently underwent a successful vaginoplasty with no recurrence of symptoms after 2 years.
    MeSH terms: Abnormalities, Multiple/surgery; Adolescent; Amenorrhea/etiology; Female; Hematocolpos/etiology; Hematocolpos/surgery; Humans; Syndrome; Urogenital Abnormalities/complications; Urogenital Abnormalities/surgery; Abdominal Pain/etiology
  11. Ewuzie RN, Genza JR, Abdullah AZ
    PMID: 39080163 DOI: 10.1007/s11356-024-34504-2
    Lignin, a vital renewable biopolymer, serves as the Earth's primary source of aromatics and carbon. Its depolymerization presents significant potential for producing phenolic fine chemicals. This study assesses promoted Ni-based bimetallic catalysts (Ni-Co/C and Ni-Cu/C) supported on activated carbon in isopropanol for lignin depolymerization, compared to monometallic counterparts. BET, SEM, EDX, and XPS analyses highlight their physicochemical properties and promotional effects, enhancing hydrogenolysis activity and hydrogen transformation. Reaction parameter exploration elucidates the influence on lignin depolymerization, with cobalt and copper as promoters notably increasing conversion and monomer yield. Ni-Co/C exhibits the highest lignin conversion (94.2%) and maximum monomer yield (53.1 wt%) under specified conditions, with lower activation energy (36.1 kJ/mol) and higher turnover frequency (31.6 h-1) compared to Ni/C. FT-IR, GPC, GC-FID, and GC-MS analyses confirm effective depolymerization, identifying 20 monomer products. Proposed reaction mechanisms underscore the potential of Ni-based bimetallic catalysts for lignin valorization, offering insights into developing efficient catalytic systems for lignin hydrogenolysis. This research enhances understanding and facilitates the development of selective catalytic processes for lignin valorization.
  12. Ibidoja OJ, Shan FP, Ali MKM
    Sci Rep, 2024 Jul 30;14(1):17599.
    PMID: 39080303 DOI: 10.1038/s41598-024-60612-7
    The linear regression is critical for data modelling, especially for scientists. Nevertheless, with the plenty of high-dimensional data, there are data with more explanatory variables than the number of observations. In such circumstances, traditional approaches fail. This paper proposes a modified sparse regression model that solves the problem of heterogeneity using seaweed big data as a use case. The modified heterogeneity models for ridge, LASSO and Elastic net were used to model the data. Robust estimations M Bi-Square, M Hampel, M Huber, MM and S were used. Based on the results, the hybrid model of sparse regression for before, after, and modified heterogeneity robust regression with the 45 high ranking variables and a 2-sigma limit can be used efficiently and effectively to reduce the outliers. The obtained results confirm that the hybrid model of the modified sparse LASSO with the M Bi-Square estimator for the 45 high ranking parameters performed better compared with other existing methods.
  13. Selvavinayagam ST, Sankar S, Yong YK, Murugesan A, Suvaithenamudhan S, Hemashree K, et al.
    Sci Rep, 2024 Jul 30;14(1):17476.
    PMID: 39080396 DOI: 10.1038/s41598-024-68678-z
    In December 2023, we observed a notable shift in the COVID-19 landscape, when JN.1 omicron emerged as the predominant SARS-CoV-2 variant with a 95% incidence. We characterized the clinical profile, and genetic changes in JN.1, an emerging SARS-CoV-2 variant of interest. Whole genome sequencing was performed on SARS-CoV-2 positive clinical specimens, followed by sequence analysis. Mutations within the spike protein sequences were analysed and compared with the previously reported lineages and sub-lineages, to identify the potential impact of the unique mutations on protein structure and possible alterations in the functionality. Several unique and dynamic mutations were identified herein. Molecular docking analysis showed changes in the binding affinity, and key interacting residues of wild-type and mutated structures with key host cell receptors of SARS-CoV-2 entry viz., ACE2, CD147, CD209L and AXL. Our data provides key insights on the emergence of newer variants and highlights the necessity for robust and sustained global genomic surveillance of SARS-CoV-2.
    MeSH terms: Adult; Aged; Female; Humans; India/epidemiology; Male; Middle Aged; Mutation*; Phylogeny; Genome, Viral; Molecular Docking Simulation
  14. El-Menyar A, Naduvilekandy M, Rizoli S, Di Somma S, Cander B, Galwankar S, et al.
    Crit Care, 2024 Jul 30;28(1):259.
    PMID: 39080740 DOI: 10.1186/s13054-024-05037-4
    BACKGROUND: High-quality cardiopulmonary resuscitation (CPR) can restore spontaneous circulation (ROSC) and neurological function and save lives. We conducted an umbrella review, including previously published systematic reviews (SRs), that compared mechanical and manual CPR; after that, we performed a new SR of the original studies that were not included after the last published SR to provide a panoramic view of the existing evidence on the effectiveness of CPR methods.

    METHODS: PubMed, EMBASE, and Medline were searched, including English in-hospital (IHCA) and out-of-hospital cardiac arrest (OHCA) SRs, and comparing mechanical versus manual CPR. A Measurement Tool to Assess Systematic Reviews (AMSTAR-2) and GRADE were used to assess the quality of included SRs/studies. We included both IHCA and OHCA, which compared mechanical and manual CPR. We analyzed at least one of the outcomes of interest, including ROSC, survival to hospital admission, survival to hospital discharge, 30-day survival, and survival to hospital discharge with good neurological function. Furthermore, subgroup analyses were performed for age, gender, initial rhythm, arrest location, and type of CPR devices.

    RESULTS: We identified 249 potentially relevant records, of which 238 were excluded. Eleven SRs were analyzed in the Umbrella review (January 2014-March 2022). Furthermore, for a new, additional SR, we identified eight eligible studies (not included in any prior SR) for an in-depth analysis between April 1, 2021, and February 15, 2024. The higher chances of using mechanical CPR for male patients were significantly observed in three studies. Two studies showed that younger patients received more mechanical treatment than older patients. However, studies did not comment on the outcomes based on the patient's gender or age. Most SRs and studies were of low to moderate quality. The pooled findings did not show the superiority of mechanical compared to manual CPR except in a few selected subgroups.

    CONCLUSIONS: Given the significant heterogeneity and methodological limitations of the included studies and SRs, our findings do not provide definitive evidence to support the superiority of mechanical CPR over manual CPR. However, mechanical CPR can serve better where high-quality manual CPR cannot be performed in selected situations.

    MeSH terms: Humans; Out-of-Hospital Cardiac Arrest/therapy
  15. Lestari W, Abdullah AS, Amin AMA, Nurfaridah, Sukotjo C, Ismail A, et al.
    J Dent Educ, 2024 Dec;88(12):1681-1695.
    PMID: 39080875 DOI: 10.1002/jdd.13673
    PURPOSE/OBJECTIVES: Admission into dental school involves selecting applicants for successful completion of the course. This study aimed to predict the academic performance of Kulliyyah of Dentistry, International Islamic University Malaysia pre-clinical dental students based on admission results using artificial intelligence machine learning (ML) models, and Pearson correlation coefficient (PCC).

    METHODS: ML algorithms logistic regression (LR), decision tree (DT), random forest (RF), and support vector machine (SVM) models were applied. Academic performance prediction in pre-clinical years was made using three input parameters: age during admission, pre-university Cumulative Grade Point Average (CGPA), and total matriculation semester. PCC was deployed to identify the correlation between pre-university CGPA and dental school grades. The proposed models' classification accuracy ranged from 29% to 57%, ranked from highest to lowest as follows: RF, SVM, DT, and LR. Pre-university CGPA was shown to be predictive of dental students' academic performance; however, alone they did not yield optimal outcomes. RF was the most precise algorithm for predicting grades A, B, and C, followed by LR, DT, and SVM. In forecasting failure, LR predicted three grades with the highest recall, SVM predicted two grades, and DT predicted one. RF performance was insignificant.

    CONCLUSION: The findings demonstrated the application of ML algorithms and PCC to predict dental students' academic performance. However, it was limited by several factors. Each algorithm has unique performance qualities, and trade-offs between different performance metrics may be necessary. No definitive model stood out as the best algorithm for predicting student academic success in this study.

    MeSH terms: Machine Learning; Algorithms; Artificial Intelligence*; Decision Trees; Education, Dental/methods; Educational Measurement/methods; Female; Forecasting; Humans; Malaysia; Male; School Admission Criteria*; Schools, Dental; Students, Dental*; Support Vector Machine
  16. Cheong JPG, Hussain B
    Front Psychol, 2024;15:1405635.
    PMID: 39081372 DOI: 10.3389/fpsyg.2024.1405635
    The aim of this research was to examine the effects of using a random and game-based practice schedule for Traditional Cultural Games (TCG) skills on the performance of gross motor skills. Specifically, skills of two types of TCG, Chindro, an individual TCG, and Pittu-Garam, a team TCG, were practiced. 102 primary school children, ages seven to ten, attended a total of eighteen sessions of skill practice in 6 weeks, practicing TCG motor skills found in the game of Chindro or Pittu-Garam. For each TCG, participants were assigned to either random or game-based conditions, contributing to four experimental groups (Chindro random, Chindro game-based, Pittu random, and Pittu game-based). Gross motor skills performance was measured, before and after the experiment, according to the Test of Gross Motor Development-2. Particularly, the performance of six gross motor skills, Catch, Overhead Throw, Underhand Roll, Hop, Leap, and Jump, were assessed. Additionally, through a transfer test, the same skills were evaluated from a real-world game situation. In the skills performance test, all four groups significantly improved gross motor skills performance by the end of the experiment. However, there was no difference found between the groups based on game-based and random selection in the skills performance test and the game transfer test for both TCG. Practicing TCG skills according to high interference practice schedules, whether individually or in combination, improved gross motor skills performance. The study indicated that a game-based practice schedule could be a substitute for a random practice schedule when planning a training session involving high-interference practice schedules.
  17. Nair AS, Sekar M, Gan SH, Kumarasamy V, Subramaniyan V, Wu YS, et al.
    Drug Des Devel Ther, 2024;18:3295-3313.
    PMID: 39081702 DOI: 10.2147/DDDT.S463545
    Lawsone, a naturally occurring organic compound also called hennotannic acid, obtained mainly from Lawsonia inermis (Henna). It is a potential drug-like molecule with unique chemical and biological characteristics. Traditionally, henna is used in hair and skin coloring and is also a medicinal herb for various diseases. It is also widely used as a starting material for the synthesis of various drug molecules. In this review, we investigate on the chemistry, biosynthesis, physical and biological properties of lawsone. The results showed that lawsone has potential antioxidant, anti-inflammatory, antimicrobial and antitumor properties. It also induces cell cycle inhibition and programmed cell death in cancer, making it a potential chemotherapeutic agent. Additionally, inhibition of pro-inflammatory cytokine production makes it an essential treatment for inflammatory diseases. Exploration of its biosynthetic pathway can pave the way for its development into targets for new drug development. In future, well-thought-out clinical studies should be made to verify its safety and efficacy.
    MeSH terms: Animals; Anti-Infective Agents/pharmacology; Anti-Infective Agents/chemistry; Anti-Inflammatory Agents/pharmacology; Anti-Inflammatory Agents/chemistry; Antineoplastic Agents/pharmacology; Antineoplastic Agents/chemistry; Antineoplastic Agents, Phytogenic/pharmacology; Antineoplastic Agents, Phytogenic/chemistry; Antioxidants/pharmacology; Antioxidants/chemistry; Humans; Neoplasms/drug therapy; Lawsonia Plant/chemistry
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