MATERIALS AND METHODS: A cross sectional study was carried out to examine the breast cancer prevention information seeking behavior among 450 students at one private university in Malaysia.
RESULTS: The mean age of respondents was 25±4.3 years. Common interpersonal information sources were doctors, friends, and nurses and common channel information sources were television, brochure, and internet. Overall, 89.9% used cell phones, 46.1% had an interest in receiving cell phone breast cancer prevention messages, 73.9% used text messaging, and 36.7% had an interest in receiving text breast cancer prevention messages. Bivariate analysis revealed significant differences among age, eduation, nationality and use of cell phones.
CONCLUSIONS: Assessment of health information seeking behavior is important for community health educators to target populations for program development.
RESULT: We tested Naive Bayes, Logistic Regression, KNN, J48, Random Forest, SVM, and Deep Neural Network algorithms to ASD screening dataset and compared the classifiers' based on significant parameters; sensitivity, specificity, accuracy, receiver operating characteristic, area under the curve, and runtime, in predicting ASD occurrences. We also found that most of previous studies focused on classifying health-related dataset while ignoring the missing values which may contribute to significant impacts to the classification result which in turn may impact the life of the patients. Thus, we addressed the missing values by implementing imputation method where they are replaced with the mean of the available records found in the dataset.
CONCLUSION: We found that J48 produced promising results as compared to other classifiers when tested in both circumstances, with and without missing values. Our findings also suggested that SVM does not necessarily perform well for small and simple datasets. The outcome is hoped to assist health practitioners in making accurate diagnosis of ASD occurrences in patients.
METHODS: We investigated the interaction between these derivatives and the hCA II isozyme via various spectroscopic and docking methods.
RESULTS: The kinetic data demonstrates that compound 1 (C1) and compound 2 (C2) share a similar inhibitory strength against hCA II, effectively inhibiting its esterase activity through a noncompetitive mechanism with Ki values at low micromolar levels. Fluorescence measurements indicated that the synthesized compounds suppressed the inherent fluorescence of hCA II via a static quenching process, with each compound showing a singular binding site within the enzyme. Thermodynamic evidences highlight the significance of van der Waals interactions and hydrogen bonding in the binding process. The results of molecular docking indicated that both C1 and C2 effectively obstruct the entrance to hCA II's active site, with no significant differences in their binding conformations.
CONCLUSION: While C1 and C2 exhibit CA inhibitory potency lower than that of sulfonamide compounds, this study offers valuable insights that could pave the way for the development of a promising scaffold for designing new carbonic anhydrase inhibitors.