Background: Machine Learning Approaches for Early Detection of Dengue Outbreaks in Tropical Urban Areas is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of dengue into regional planning and suggest directions for future studies.
Background: Community-Based Mangrove Restoration and Its Effect on Coastal Household Income is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of mangrove into regional planning and suggest directions for future studies.
Background: Low-Cost IoT Sensor Networks for Monitoring Rice Paddy Water Levels is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of internet of things into regional planning and suggest directions for future studies.
Background: A Systematic Review of Mobile Learning Adoption in Indonesian Higher Education is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of mobile learning into regional planning and suggest directions for future studies.
Background: Antibacterial Activity of Curcuma longa Extract Against Staphylococcus aureus is an emerging concern for researchers and policy makers. Methods: We combined field data from 12 districts with a mixed-methods design involving surveys (n = 412) and in-depth interviews. Results: The proposed approach improved outcomes by 18.4% compared with baseline, with strong effects in low-resource settings. Conclusion: Findings support the integration of Curcuma longa into regional planning and suggest directions for future studies.
