Materials and Methods: A cross-sectional study was designed, and a self-administered questionnaire was distributed to 106 respondents. The survey comprised four sections including sociodemographic, knowledge, attitude, and practice.
Results: Total percentage scores for KAP for FH were 86.06%, 32.40%, and 19.91%, respectively, whereas the KAP scores for DS were 89.36%, 34.26%, and 19.94%, respectively. This study revealed that the respondents had good knowledge but poor attitude and practice toward FP. Total mean percentage of KAP scores for DS was higher than FH. Besides, no significant difference was observed in KAP toward FP across different genders, age, education, and income levels among FH. However, for DS, significant difference (p = 0.008) was observed in knowledge toward FP between genders. Significant association (p = 0.048) was also reported in practice toward FP with age among DS. This study also found a significant association between knowledge and attitude (p = 0.032) and knowledge and practice (p = 0.017) toward FP among FH.
Conclusion: Nevertheless, among DS, no significant association was observed between knowledge, attitude and practice toward FP. The findings may help them to plan effective methods to promote better understanding about FP and improving their knowledge and awareness.
DESIGN: Single-centre prospective two-arm parallel randomised controlled trial.
SETTING: Orthodontic Clinic, Faculty of Dentistry, Universiti Teknologi MARA, Selangor, Malaysia.
PARTICIPANTS: Adult orthodontic patients aged 18-35 years, indicated for DPT and LC, who were fit and healthy with a body mass index of 18.5-25.0, not contraindicated to radiographic examination, not pregnant, and did not have a history of facial or skeletal abnormalities or bone diseases were included.
METHODS: Thirty-eight adult orthodontic patients were randomised into control and intervention groups. DPT and LC radiographs in the control group were obtained using standard scanning parameters as prescribed by the manufacturer using Orthopantomograph® OP300 by Instrumentarium. Scanning parameters in the intervention group were reduced by 60% for DPT (60 kV, 3.2 mA) and 30% for LC (85 kV, 8 mA). A five-point rating scale was used for the assessment of image quality. Images were evaluated for diagnostic performance by detection of anatomical landmarks. Mann-Whitney test was performed to compare the quality and diagnostic performance of the images and the observer agreement was assessed using the intraclass correlation coefficient (ICC).
RESULTS: For image quality, the control group produced slightly lower median scores (DPT 2.0, LC 2.0) compared to the intervention group (DPT 2.0, LC 3.0). For diagnostic performance, both groups showed similar median scores (DPT 21.0, LC 32.0). The differences between control and intervention groups for both modalities were not statistically significant. The average scores for intra-observer agreement were excellent (ICC 0.917) and inter-observer agreement was good (ICC 0.822).
CONCLUSION: Minimising radiation exposure by reducing scanning parameters on digital DPT by 60% and LC by 30% on Intsrumentarium 300 OP did not affect the quality and diagnostic performance of the images. Thus, scanning parameters on digital DPT and LC should be reduced when taking radiographs.
METHODS: Reasons for EN FI identified from extensive literature review were prospectively collected in adult mechanically ventilated critically ill patients. Results were reported by descriptive statistics. Baseline and nutritional characteristics between patients who died and those alive at day 60 were compared.
RESULTS: A total of 148 patients receiving ≥1 day of EN for the full 12-day observational period were included in the analysis. About 332 episodes of EN FI were recorded and contributed to 12.8% (4190 hours) of the total 1367 evaluable nutrition days. For each patient, FI occurred for a median of 3 days and the total duration of FI for the entire ICU stay was 24.5 hours. Median energy and protein deficits per patient due to FI for the entire ICU stay were -1780.23 kcal and -100.58 g, respectively. Duration of FI, days with FI, and the amount of energy and protein deficits due to FI were not different between patients who had died and those who were still alive at day 60 (all P > 0.05). About 72% of the total duration of EN FI was due to procedural-related and potentially avoidable causes (primarily human factors), while only about 20% was due to feeding intolerances.
CONCLUSIONS: EN FI occurred primarily due to human factors, which may be minimized by adherence to an evidence-based feeding protocol as determined by a nutrition support team.
RESULTS: A zinc-tolerant probiotic strain TA4, which was isolated from local fermented food, was selected based on the principal component analysis (PCA) with the highest score of probiotic attributes. Based on the 16S rRNA gene analysis, this strain was identified as Lactobacillus plantarum strain TA4, indicating its high resistance to Zn2+ at a maximum tolerable concentration (MTC) value of 500 mM and its capability of producing ZnO NPs. The UV-visible spectroscopy analysis proved the formations of ZnO NPs through the notable absorption peak at 380 nm. It was also found from the dynamic light scattering (DLS) analysis that the Z-average particle size amounted to 124.2 nm with monodisperse ZnO NPs. Studies on scanning electron microscope (SEM), energy-dispersive X-ray (EDX) spectroscopy, and Fourier-transform infrared spectroscopy (FT-IR) revealed that the main mechanisms in ZnO NPs biosynthesis were facilitated by the Zn2+ biosorption ability through the functional groups present on the cell surface of strain TA4.
CONCLUSIONS: The strong ability of zinc-tolerant probiotic of L. plantarum strain TA4 to tolerate high Zn2+ concentration and to produce ZnO NPs highlights the unique properties of these bacteria as a natural microbial cell nanofactory for a more sustainable and eco-friendly practice of ZnO NPs biosynthesis.
OBJECTIVE: This article aims to evaluate current artificial intelligence applications and discuss their performance concerning the algorithm architecture used in forensic odontology.
METHODS: This study summarizes the findings of 28 research papers published between 2010 and June 2022 using the Arksey and O'Malley framework, updated by the Joanna Briggs Institute Framework for Scoping Reviews methodology, highlighting the research trend of artificial intelligence technology in forensic odontology. In addition, a literature search was conducted on Web of Science (WoS), Scopus, Google Scholar, and PubMed, and the results were evaluated based on their content and significance.
RESULTS: The potential application of artificial intelligence technology in forensic odontology can be categorized into four: (1) human bite marks, (2) sex determination, (3) age estimation, and (4) dental comparison. This powerful tool can solve humanity's problems by giving an adequate number of datasets, the appropriate implementation of algorithm architecture, and the proper assignment of hyperparameters that enable the model to perform the prediction at a very high level of performance.
CONCLUSION: The reviewed articles demonstrate that machine learning techniques are reliable for studies involving continuous features such as morphometric parameters. However, machine learning models do not strictly require large training datasets to produce promising results. In contrast, deep learning enables the processing of unstructured data, such as medical images, which require large volumes of data. Occasionally, transfer learning was used to overcome the limitation of data. In the meantime, this method's capacity to automatically learn task-specific feature representations has made it a significant success in forensic odontology.