METHODS: Positron emission tomography (PET) and computed tomography (CT) image data from 97 patients with LC and 77 patients with TB nodules were collected. One hundred radiomic features were extracted from both PET and CT imaging using the pyradiomics platform, and 2048 deep learning features were obtained through a residual neural network approach. Four models included traditional machine learning model with radiomic features as input (traditional radiomics), a deep learning model with separate input of image features (deep convolutional neural networks [DCNN]), a deep learning model with two inputs of radiomic features and deep learning features (radiomics-DCNN) and a deep learning model with inputs of radiomic features and deep learning features and clinical information (integrated model). The models were evaluated using area under the curve (AUC), sensitivity, accuracy, specificity, and F1-score metrics.

RESULTS: The results of the classification of TB nodules and LC showed that the integrated model achieved an AUC of 0.84 (0.82-0.88), sensitivity of 0.85 (0.80-0.88), and specificity of 0.84 (0.83-0.87), performing better than the other models.

METHODS AND ANALYSIS: This cross-sectional study uses an online survey to administer a novel COVID Psychosocial Impacts Scale (CPIS) alongside established measures of psychological distress, post-traumatic stress, well-being and post-traumatic growth in the appropriate language. Participants will include adults aged 18 years and above, recruited from Indonesia, Iraq, Iran, Malaysia, Pakistan, Somalia and Turkey, with a pragmatic target sample size of 500 in each country.Data will be analysed descriptively on sociodemographic and study variables. In addition, CPIS will be analysed psychometrically (for reliability and validity) to assess the suitability of use in a given context. Finally, within-subjects and between-subjects analyses will be carried out using multi-level mixed-effect models to examine associations between key sociodemographic and study variables.

ETHICS AND DISSEMINATION: Ethical approval was granted by the Human Ethics Committee, University of Otago, New Zealand (Ref. No. 21/102). In addition, international collaborators obtained local authorisation or ethical approval in their respective host universities before data collection commenced.Participants will give informed consent before taking part. Data will be collected and stored securely on the University of Otago, New Zealand Qualtrics platform using an auto-generated non-identifiable letter-number string. Data will be available on reasonable request. Findings will be disseminated by publications in scientific journals and/or conference presentations.

METHODS: We conducted five semi-structured focus groups with 18 pharmacy students from years one to four of the bachelor of pharmacy program at Monash University Malaysia where students came from different pre-university backgrounds. Focus group recordings were transcribed verbatim and thematically analysed. Interrater reliability was performed to ascertain reliability of themes.

RESULTS: Three major themes were identified. Firstly, students cited issues moving past the initial barrier when starting flipped classrooms in terms of education background impacting adaptability and how/why they eventually adapted. Another theme was how flipped classrooms helped development of life skills such as adaptability, communication, teamwork, self-reflection, and time management. The final theme was on requiring a sufficient safety net and support system in flipped classrooms that included well designed pre-classroom materials and well-implemented feedback mechanisms.

METHODS: PMMA disks containing GO (0.01, 0.05, 0.1, or 0.5 wt%) were subjected to a biaxial flexural test to determine the Weibull parameters (m: modulus of Weibull; σ0: characteristic strength; n = 30 at 1 MPa/s) and slow crack growth (SCG) parameters (n: subcritical crack growth susceptibility coefficient, σf0: scaling parameter; n = 10 at 10-2, 10-1, 101, 100 and 102 MPa/s). Strength-probability-time (SPT) diagrams were plotted by merging SCG and Weibull parameters.

RESULTS: There was no significant difference in the m value of all materials. However, 0.5 GO presented the lowest σ0, whereas all other groups were similar. The lowest n value obtained for all GO-modified PMMA groups (27.4 for 0.05 GO) was higher than the Control (15.6). The strength degradation predicted after 15 years for Control was 12%, followed by 0.01 GO (7%), 0.05 GO (9%), 0.1 GO (5%), and 0.5 GO (1%).

METHOD: The DERS-18 underwent forward-backward translation and assessment of face and content validity. Both Malay version of the DERS-18 and DASS-21 were completed by 701 adolescents (44.4% boys) aged 13 and 14 years old. To assess its dependability, a floor and ceiling effect evaluation and Cronbach's analysis were both performed. A series of confirmatory factor analyses (CFA), bivariate correlation, and regression were performed to evaluate the construct and criterion validity, respectively.

RESULTS: The Malay version of DERS-18, after excluding "Awareness", indicated excellent reliability (Cronbach's α = 0.93), and acceptable internal consistency for each subscale (range of α from 0.63 to 0.82). Floor or ceiling effects were observed at item level and subscale level, but not at total level. CFA results revealed that the Malay version of the DERS-18 bifactor model (excluding "Awareness") portrayed the best construct validity (χ2/df = 2.673, RMSEA = 0.049, CFI = 0.977, TLI = 0.968) compared to a single factor, a correlated factor, and a higher-order factor model. The DERS-18 subscales (except "Awareness") and DERS-18 total scores were significantly correlated with stress, anxiety, and depression in a positive direction (r ranged from 0.62 to 0.64, p < 0.01). The general factor of the DERS-18 and its specific factors ("Clarity", "Goals", and "Non-Acceptance") significantly predicted the symptoms of stress, anxiety, and depression (R2 ranged from 0.44 to 0.46, p < 0.001).

METHODS: A cross-sectional study was carried out in the main city of Malaysia at a tertiary teaching hospital between January to April 2021. A total of 218 women diagnosed with endometriosis symptoms were recruited using the universal sampling method to answer the questionnaire.

RESULTS: The revised Malay version of the EHP-30 with 28 items demonstrated that the factor loading of the 28 items had an acceptable value range between 0.60-0.90. The model fit was acceptable after the inclusion of 28 items correlated errors of the root mean square of error approximation: 0.072, 90% confidence interval: [0.065-0.080], comparative fit index (0.939), Tucker-Lewis index (0.932), and Chi-square/degrees of Freedom (2.135). The Cronbach's alpha ranged from 0.89-0.97. Concurrent validity for the composite reliability was between 0.88-0.96, while the average variance extracted was between 0.65-0.74.

OBJECTIVE: This study aims to develop and validate SafeHIT, an instrument to assess self-reported safe use of HIT among health care practitioners.

METHODS: Systematic literature review and a semistructured interview with 31 experts were adopted to generate SafeHIT instrument items. In total, 450 physicians from various departments at three Malaysian public hospitals participated in the questionnaire survey to validate SafeHIT. Exploratory factor analysis and confirmatory factor analysis (CFA) were undertaken to explore the items that best represent a specific construct and to confirm the reliability and validity of the SafeHIT, respectively.

RESULTS: The final SafeHIT consisted of 14 constructs and 58 items in total. The result of the CFA confirmed that all constructs demonstrated adequate convergent and discriminant validity.

METHODS: The WoCKSS was developed with 20 and 31 items for knowledge and stigma domains, respectively, based on an extensive review of COVID-19 literature. Content validation was conducted by four experts using a content validation form to assess the relevancy of each item to the intended construct. Content Validity Index (CVI) was calculated to measure the agreement between the experts on the relevance of each item to the intended construct. Face validation was then conducted by randomly selecting 10 respondents from the manufacturing industry, who rated the clarity and comprehension of each item using a face validation form. The Item Face Validity Index (I-FVI) was calculated to determine the clarity and comprehension of each question, and only items with an I-FVI ≥ 0.83 were retained.

RESULTS: The WoCKSS achieved excellent content validity in both knowledge and stigma domains. Only 19 items from the knowledge domain and 24 items from the stigma domain were retained after CVI analysis. All retained items received a CVI score of 1.00, indicating perfect agreement among the experts. FVI analysis resulted in 17 items for the knowledge domain and 22 items for the stigma domain. The knowledge domain achieved a high level of agreement among respondents, with a mean I-FVI of 0.91 and a S-FVI/UA of 0.89. The stigma domain also showed high agreement, with a mean I-FVI of 0.99 and a S-FVI/UA of 0.86.

METHODS: A total of 120 patients with MDD and 40 age- and sex-matched controls were recruited consecutively. Reliability was estimated using Cronbach's alpha, the split-half coefficient, and the test-retest coefficient; test-retest reliability was assessed using Spearman's correlation coefficient. A confirmatory factor analysis was used to determine the construct validity of the scale. The Pittsburgh Sleep Quality Index (PSQI) and the Morningness-Eveningness Questionnaire (MEQ) were used to check concurrent validity by evaluating the correlation between the C-BRIAN, PSQI, and MEQ.